Implemetation of 17 classification algorithms in R using car evaluation data

This data is obtained from UCI Machine learning repository. The purpose of the analysis is to evaluate  the safety standard of the cars based on certain parameters and classify them. The detailed description of the dataset is provided below as given in the website:

For detailed code visit my Github repository 

1. Title: Car Evaluation Database

2. Sources:
   (a) Creator: Marko Bohanec
   (b) Donors: Marko Bohanec   (marko.bohanec@ijs.si)
               Blaz Zupan      (blaz.zupan@ijs.si)
   (c) Date: June, 1997

3. Past Usage:

   The hierarchical decision model, from which this dataset is
   derived, was first presented in 

   M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for
   multi-attribute decision making. In 8th Intl Workshop on Expert
   Systems and their Applications, Avignon, France. pages 59-78, 1988.

   Within machine-learning, this dataset was used for the evaluation
   of HINT (Hierarchy INduction Tool), which was proved to be able to
   completely reconstruct the original hierarchical model. This,
   together with a comparison with C4.5, is presented in

   B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by
   function decomposition. ICML-97, Nashville, TN. 1997 (to appear)

4. Relevant Information Paragraph:

   Car Evaluation Database was derived from a simple hierarchical
   decision model originally developed for the demonstration of DEX
   (M. Bohanec, V. Rajkovic: Expert system for decision
   making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates
   cars according to the following concept structure:

   CAR                      car acceptability
   . PRICE                  overall price
   . . buying               buying price
   . . maint                price of the maintenance
   . TECH                   technical characteristics
   . . COMFORT              comfort
   . . . doors              number of doors
   . . . persons            capacity in terms of persons to carry
   . . . lug_boot           the size of luggage boot
   . . safety               estimated safety of the car

   Input attributes are printed in lowercase. Besides the target
   concept (CAR), the model includes three intermediate concepts:
   PRICE, TECH, COMFORT. Every concept is in the original model
   related to its lower level descendants by a set of examples (for
   these examples sets see http://www-ai.ijs.si/BlazZupan/car.html).

   The Car Evaluation Database contains examples with the structural
   information removed, i.e., directly relates CAR to the six input
   attributes: buying, maint, doors, persons, lug_boot, safety.

   Because of known underlying concept structure, this database may be
   particularly useful for testing constructive induction and
   structure discovery methods.

5. Number of Instances: 1728
   (instances completely cover the attribute space)

6. Number of Attributes: 6

7. Attribute Values:

   buying       v-high, high, med, low
   maint        v-high, high, med, low
   doors        2, 3, 4, 5-more
   persons      2, 4, more
   lug_boot     small, med, big
   safety       low, med, high

8. Missing Attribute Values: none

9. Class Distribution (number of instances per class)

   class      N          N[%]
   -----------------------------
   unacc     1210     (70.023 %) 
   acc        384     (22.222 %) 
   good        69     ( 3.993 %) 
   v-good      65     ( 3.762 %) 

---

1)Load the data

car_eval <- read.csv("F:/Analysis_Practice/Classification/Car Evaluation/car.data.txt", header=FALSE)
colnames(car_eval)<-c("buying","maint","doors","persons","lug_boot","safety","class")
head(car_eval)

##   buying maint doors persons lug_boot safety class
## 1  vhigh vhigh     2       2    small    low unacc
## 2  vhigh vhigh     2       2    small    med unacc
## 3  vhigh vhigh     2       2    small   high unacc
## 4  vhigh vhigh     2       2      med    low unacc
## 5  vhigh vhigh     2       2      med    med unacc
## 6  vhigh vhigh     2       2      med   high unacc

2)Exploratory Data Analysis

summary(car_eval)

##    buying      maint       doors     persons     lug_boot    safety   
##  high :432   high :432   2    :432   2   :576   big  :576   high:576  
##  low  :432   low  :432   3    :432   4   :576   med  :576   low :576  
##  med  :432   med  :432   4    :432   more:576   small:576   med :576  
##  vhigh:432   vhigh:432   5more:432                                    
##    class     
##  acc  : 384  
##  good :  69  
##  unacc:1210  
##  vgood:  65

str(car_eval)

## 'data.frame':    1728 obs. of  7 variables:
##  $ buying  : Factor w/ 4 levels "high","low","med",..: 4 4 4 4 4 4 4 4 4 4 ...
##  $ maint   : Factor w/ 4 levels "high","low","med",..: 4 4 4 4 4 4 4 4 4 4 ...
##  $ doors   : Factor w/ 4 levels "2","3","4","5more": 1 1 1 1 1 1 1 1 1 1 ...
##  $ persons : Factor w/ 3 levels "2","4","more": 1 1 1 1 1 1 1 1 1 2 ...
##  $ lug_boot: Factor w/ 3 levels "big","med","small": 3 3 3 2 2 2 1 1 1 3 ...
##  $ safety  : Factor w/ 3 levels "high","low","med": 2 3 1 2 3 1 2 3 1 2 ...
##  $ class   : Factor w/ 4 levels "acc","good","unacc",..: 3 3 3 3 3 3 3 3 3 3 ...

3)Classification Analysis

A)Linear Classification

1)Logistic Regression

library(VGAM)

#Build the model
model1<-vglm(class~buying+maint+doors+persons+lug_boot+safety,family = "multinomial",data=car_eval)

#Summarize the model
summary(model1)

## 
## Call:
## vglm(formula = class ~ buying + maint + doors + persons + lug_boot + 
##     safety, family = "multinomial", data = car_eval)
## 
## Pearson residuals:
##                        Min         1Q     Median         3Q    Max
## log(mu[,1]/mu[,4]) -34.602 -1.683e-08  1.769e-10  1.507e-07  7.360
## log(mu[,2]/mu[,4]) -39.054 -1.021e-09  7.796e-09  1.631e-08  1.823
## log(mu[,3]/mu[,4])  -3.012 -8.298e-04 -4.538e-08 -1.854e-08 73.907
## 
## Coefficients:
##                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept):1     61.00010 2920.85272   0.021  0.98334    
## (Intercept):2     -5.56072 3486.38550  -0.002  0.99873    
## (Intercept):3     90.68525 1669.86779   0.054  0.95669    
## buyinglow:1      -39.87833  841.37511  -0.047  0.96220    
## buyinglow:2       -5.52882 1921.61548  -0.003  0.99770    
## buyinglow:3      -44.90269  841.37529  -0.053  0.95744    
## buyingmed:1      -32.45173  841.37274  -0.039  0.96923    
## buyingmed:2       -3.66074 1921.61525  -0.002  0.99848    
## buyingmed:3      -36.35884  841.37287  -0.043  0.96553    
## buyingvhigh:1      0.15192 1199.83980   0.000  0.99990    
## buyingvhigh:2      0.01987 2802.58954   0.000  0.99999    
## buyingvhigh:3      2.21148 1199.83984   0.002  0.99853    
## maintlow:1       -16.06330    2.71868  -5.908 3.45e-09 ***
## maintlow:2        14.68063 1865.75958   0.008  0.99372    
## maintlow:3       -19.45263    2.75992  -7.048 1.81e-12 ***
## maintmed:1       -11.34113    1.99314  -5.690 1.27e-08 ***
## maintmed:2        14.60285 1865.75958   0.008  0.99376    
## maintmed:3       -14.73637    2.04813  -7.195 6.24e-13 ***
## maintvhigh:1      23.91578  881.36580   0.027  0.97835    
## maintvhigh:2      20.17163 2776.24689   0.007  0.99420    
## maintvhigh:3      26.73111  881.36588   0.030  0.97580    
## doors3:1          -4.27539    1.35240  -3.161  0.00157 ** 
## doors3:2          -1.79890    1.06301  -1.692  0.09059 .  
## doors3:3          -6.12627    1.41126  -4.341 1.42e-05 ***
## doors4:1          -7.59238    1.58888  -4.778 1.77e-06 ***
## doors4:2          -4.02251    1.37488  -2.926  0.00344 ** 
## doors4:3         -10.06735    1.64543  -6.118 9.45e-10 ***
## doors5more:1      -7.59238    1.58888  -4.778 1.77e-06 ***
## doors5more:2      -4.02251    1.37488  -2.926  0.00344 ** 
## doors5more:3     -10.06735    1.64543  -6.118 9.45e-10 ***
## persons4:1       -20.67042 2797.50088  -0.007  0.99410    
## persons4:2        -5.96742 2237.20993  -0.003  0.99787    
## persons4:3       -51.89126 1442.88750  -0.036  0.97131    
## personsmore:1    -22.04317 2797.50106  -0.008  0.99371    
## personsmore:2     -7.28611 2237.21011  -0.003  0.99740    
## personsmore:3    -52.88370 1442.88781  -0.037  0.97076    
## lug_bootmed:1      6.41245    1.37396   4.667 3.05e-06 ***
## lug_bootmed:2      3.34150    1.11320   3.002  0.00268 ** 
## lug_bootmed:3      7.92503    1.42437   5.564 2.64e-08 ***
## lug_bootsmall:1   33.03251  756.91451   0.044  0.96519    
## lug_bootsmall:2   23.59694  756.91383   0.031  0.97513    
## lug_bootsmall:3   37.46662  756.91464   0.049  0.96052    
## safetylow:1       21.69645 2903.70174   0.007  0.99404    
## safetylow:2        6.75657 2467.01790   0.003  0.99781    
## safetylow:3       53.40970 1602.38723   0.033  0.97341    
## safetymed:1       31.34408  652.05428   0.048  0.96166    
## safetymed:2       23.37362  652.05422   0.036  0.97141    
## safetymed:3       34.33828  652.05437   0.053  0.95800    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Number of linear predictors:  3 
## 
## Names of linear predictors: 
## log(mu[,1]/mu[,4]), log(mu[,2]/mu[,4]), log(mu[,3]/mu[,4])
## 
## Dispersion Parameter for multinomial family:   1
## 
## Residual deviance: 448.1751 on 5136 degrees of freedom
## 
## Log-likelihood: -224.0875 on 5136 degrees of freedom
## 
## Number of iterations: 21

#Predict using the model
x<-car_eval[,1:6]
y<-car_eval[,7]
probability<-predict(model1,x,type="response")
car_eval$pred_log_reg<-apply(probability,1,which.max)
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="1")]<-levels(car_eval$class)[1]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="2")]<-levels(car_eval$class)[2]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="3")]<-levels(car_eval$class)[3]
car_eval$pred_log_reg[which(car_eval$pred_log_reg=="4")]<-levels(car_eval$class)[4]

#Accuracy of the model
mtab<-table(car_eval$pred_log_reg,car_eval$class)
library(caret)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    346    6    43     2
##   good     4   59     1     0
##   unacc   32    0  1166     0
##   vgood    2    4     0    63
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9456          
##                  95% CI : (0.9338, 0.9558)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.8819          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9010     0.85507       0.9636      0.96923
## Specificity              0.9621     0.99699       0.9382      0.99639
## Pos Pred Value           0.8715     0.92188       0.9733      0.91304
## Neg Pred Value           0.9715     0.99399       0.9170      0.99879
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2002     0.03414       0.6748      0.03646
## Detection Prevalence     0.2297     0.03704       0.6933      0.03993
## Balanced Accuracy        0.9315     0.92603       0.9509      0.98281

2)Linear Discriminant Analysis

library(MASS)

#Build the model
model2<-lda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model2)

##         Length Class  Mode     
## prior    4     -none- numeric  
## counts   4     -none- numeric  
## means   60     -none- numeric  
## scaling 45     -none- numeric  
## lev      4     -none- character
## svd      3     -none- numeric  
## N        1     -none- numeric  
## call     3     -none- call     
## terms    3     terms  call     
## xlevels  6     -none- list

#Predict using the model
car_eval$pred_lda<-predict(model2,x)$class

#Accuracy of the model
mtab<-table(car_eval$pred_lda,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    361   44    70    27
##   good    10   23     2     3
##   unacc   13    0  1138     0
##   vgood    0    2     0    35
## 
## Overall Statistics
##                                          
##                Accuracy : 0.901          
##                  95% CI : (0.886, 0.9147)
##     No Information Rate : 0.7002         
##     P-Value [Acc > NIR] : < 2.2e-16      
##                                          
##                   Kappa : 0.7883         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9401     0.33333       0.9405      0.53846
## Specificity              0.8951     0.99096       0.9749      0.99880
## Pos Pred Value           0.7191     0.60526       0.9887      0.94595
## Neg Pred Value           0.9812     0.97278       0.8752      0.98226
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2089     0.01331       0.6586      0.02025
## Detection Prevalence     0.2905     0.02199       0.6661      0.02141
## Balanced Accuracy        0.9176     0.66215       0.9577      0.76863

B)Non-Linear Classification

1)Mixture Discriminant Analysis

library(mda)

#Build the model
model3<-mda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model3)

##                   Length Class   Mode   
## percent.explained  11    -none-  numeric
## values             11    -none-  numeric
## means             132    -none-  numeric
## theta.mod         121    -none-  numeric
## dimension           1    -none-  numeric
## sub.prior           4    -none-  list   
## fit                 4    polyreg list   
## call                3    -none-  call   
## weights             4    -none-  list   
## prior               4    table   numeric
## assign.theta        4    -none-  list   
## deviance            1    -none-  numeric
## confusion          16    -none-  numeric
## terms               3    terms   call

#Predict using the model
car_eval$pred_mda<-predict(model3,x)

#Accuracy of the model
mtab<-table(car_eval$pred_mda,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    359   26    98    10
##   good    19   40     1     4
##   unacc    6    0  1111     0
##   vgood    0    3     0    51
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9034          
##                  95% CI : (0.8884, 0.9169)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.7992          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9349     0.57971       0.9182      0.78462
## Specificity              0.9003     0.98553       0.9884      0.99820
## Pos Pred Value           0.7282     0.62500       0.9946      0.94444
## Neg Pred Value           0.9798     0.98257       0.8380      0.99164
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2078     0.02315       0.6429      0.02951
## Detection Prevalence     0.2853     0.03704       0.6464      0.03125
## Balanced Accuracy        0.9176     0.78262       0.9533      0.89141

2)Quadratic Discriminant Analysis

library(MASS)

#Build the model
model4<-qda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model4)

#Predict using the model
car_eval$pred_qda<-predict(model4,x)

#Accuracy of the model
mtab<-table(car_eval$pred_qda,car_eval$class)
confusionMatrix(mtab)

3)Regularized Discriminant Analysis

library(klaR)

#Build the model
model5<-rda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,gamma = 0.05,lambda = 0.01)

#Summarize the model
summary(model5)

##                Length Class  Mode     
## call             5    -none- call     
## regularization   2    -none- numeric  
## classes          4    -none- character
## prior            4    -none- numeric  
## error.rate       1    -none- numeric  
## varnames        15    -none- character
## means           60    -none- numeric  
## covariances    900    -none- numeric  
## covpooled      225    -none- numeric  
## converged        1    -none- logical  
## iter             1    -none- numeric  
## terms            3    terms  call     
## xlevels          6    -none- list

#Predict using the model
car_eval$pred_rda<-predict(model5,x)$class

#Accuracy of the model
mtab<-table(car_eval$pred_rda,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    317    0   134     0
##   good    45   63     4     0
##   unacc    0    0  1072     0
##   vgood   22    6     0    65
## 
## Overall Statistics
##                                          
##                Accuracy : 0.8779         
##                  95% CI : (0.8615, 0.893)
##     No Information Rate : 0.7002         
##     P-Value [Acc > NIR] : < 2.2e-16      
##                                          
##                   Kappa : 0.7572         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.8255     0.91304       0.8860      1.00000
## Specificity              0.9003     0.97046       1.0000      0.98316
## Pos Pred Value           0.7029     0.56250       1.0000      0.69892
## Neg Pred Value           0.9475     0.99629       0.7896      1.00000
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.1834     0.03646       0.6204      0.03762
## Detection Prevalence     0.2610     0.06481       0.6204      0.05382
## Balanced Accuracy        0.8629     0.94175       0.9430      0.99158

4)Neural Network

library(nnet)

#Build the model
model6<-nnet(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,size = 4,decay = 0.0001,maxit = 500)

## # weights:  84
## initial  value 3146.965965 
## iter  10 value 701.411988
## iter  20 value 339.044630
## iter  30 value 242.649756
## iter  40 value 153.140381
## iter  50 value 130.008613
## iter  60 value 123.029760
## iter  70 value 108.380983
## iter  80 value 94.373404
## iter  90 value 87.356866
## iter 100 value 85.299644
## iter 110 value 83.323437
## iter 120 value 82.463341
## iter 130 value 82.236483
## iter 140 value 82.000049
## iter 150 value 81.935088
## iter 160 value 81.658944
## iter 170 value 81.407497
## iter 180 value 81.377736
## iter 190 value 81.339431
## iter 200 value 81.208345
## iter 210 value 80.572435
## iter 220 value 77.973712
## iter 230 value 77.358931
## iter 240 value 76.429027
## iter 250 value 75.652041
## iter 260 value 74.303786
## iter 270 value 69.999793
## iter 280 value 65.840342
## iter 290 value 64.271439
## iter 300 value 62.841110
## iter 310 value 56.966230
## iter 320 value 56.714223
## iter 330 value 56.470783
## iter 340 value 56.304674
## iter 350 value 54.434167
## iter 360 value 53.962741
## iter 370 value 53.812916
## iter 380 value 53.582200
## iter 390 value 53.448081
## iter 400 value 53.403960
## iter 410 value 53.358311
## iter 420 value 53.312394
## iter 430 value 53.268125
## iter 440 value 53.243493
## iter 450 value 53.243257
## iter 460 value 53.241904
## iter 470 value 53.235293
## iter 480 value 53.225926
## iter 490 value 53.222271
## iter 500 value 53.216634
## final  value 53.216634 
## stopped after 500 iterations

#Summarize the model
summary(model6)

## a 15-4-4 network with 84 weights
## options were - softmax modelling  decay=1e-04
##   b->h1  i1->h1  i2->h1  i3->h1  i4->h1  i5->h1  i6->h1  i7->h1  i8->h1 
##   -3.62    7.70    7.53   26.95    2.99    2.34   22.86   -1.48   -3.14 
##  i9->h1 i10->h1 i11->h1 i12->h1 i13->h1 i14->h1 i15->h1 
##   -3.14  -13.04  -14.33    6.75    9.98   13.10   10.79 
##   b->h2  i1->h2  i2->h2  i3->h2  i4->h2  i5->h2  i6->h2  i7->h2  i8->h2 
##   -7.28   -1.82   -1.81   -1.48   -2.39   -1.98   -0.79   -1.18   -1.81 
##  i9->h2 i10->h2 i11->h2 i12->h2 i13->h2 i14->h2 i15->h2 
##   -2.57   -1.67   -3.39   -1.97   -2.29   -1.56   -2.51 
##   b->h3  i1->h3  i2->h3  i3->h3  i4->h3  i5->h3  i6->h3  i7->h3  i8->h3 
##    4.86   -2.51   -2.23   -0.42   -1.76   -1.59    0.27   -0.18   -0.37 
##  i9->h3 i10->h3 i11->h3 i12->h3 i13->h3 i14->h3 i15->h3 
##   -0.37   -2.59   -2.68    0.35    0.80    4.86    0.86 
##   b->h4  i1->h4  i2->h4  i3->h4  i4->h4  i5->h4  i6->h4  i7->h4  i8->h4 
##   -8.47   -6.79   -4.73    2.11   -6.49   -4.28    2.38   10.27    9.64 
##  i9->h4 i10->h4 i11->h4 i12->h4 i13->h4 i14->h4 i15->h4 
##    9.65   25.77   15.29    5.10   -5.25  -25.69    6.55 
##   b->o1  h1->o1  h2->o1  h3->o1  h4->o1 
##   -9.70    5.04   -3.69   19.00   23.45 
##   b->o2  h1->o2  h2->o2  h3->o2  h4->o2 
##   19.50   23.61    4.58 -101.53   11.31 
##   b->o3  h1->o3  h2->o3  h3->o3  h4->o3 
##  -25.25   28.66   -3.35  106.57  -51.55 
##   b->o4  h1->o4  h2->o4  h3->o4  h4->o4 
##   15.48  -57.22    2.47  -24.15   16.77

#Predict using the model
car_eval$pred_nnet<-predict(model6,x,type="class")

#Accuracy of the model
mtab<-table(car_eval$pred_nnet,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    374    2     5     4
##   good     2   67     0     0
##   unacc    4    0  1205     0
##   vgood    4    0     0    61
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9878          
##                  95% CI : (0.9815, 0.9925)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9734          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9740     0.97101       0.9959      0.93846
## Specificity              0.9918     0.99879       0.9923      0.99759
## Pos Pred Value           0.9714     0.97101       0.9967      0.93846
## Neg Pred Value           0.9926     0.99879       0.9904      0.99759
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2164     0.03877       0.6973      0.03530
## Detection Prevalence     0.2228     0.03993       0.6997      0.03762
## Balanced Accuracy        0.9829     0.98490       0.9941      0.96803

5)Flexible Discriminant Analysis

library(mda)

#Build the model
model7<-fda(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model7)

##                   Length Class   Mode   
## percent.explained  3     -none-  numeric
## values             3     -none-  numeric
## means             12     -none-  numeric
## theta.mod          9     -none-  numeric
## dimension          1     -none-  numeric
## prior              4     table   numeric
## fit                4     polyreg list   
## call               3     -none-  call   
## terms              3     terms   call   
## confusion         16     -none-  numeric

#Predict using the model
car_eval$pred_fda<-predict(model7,x,type="class")

#Accuracy of the model
mtab<-table(car_eval$pred_fda,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    361   44    72    27
##   good    10   23     2     3
##   unacc   13    0  1136     0
##   vgood    0    2     0    35
## 
## Overall Statistics
##                                           
##                Accuracy : 0.8999          
##                  95% CI : (0.8848, 0.9136)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.786           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9401     0.33333       0.9388      0.53846
## Specificity              0.8936     0.99096       0.9749      0.99880
## Pos Pred Value           0.7163     0.60526       0.9887      0.94595
## Neg Pred Value           0.9812     0.97278       0.8722      0.98226
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2089     0.01331       0.6574      0.02025
## Detection Prevalence     0.2917     0.02199       0.6649      0.02141
## Balanced Accuracy        0.9169     0.66215       0.9569      0.76863

6)Support Vector Machine

library(kernlab)

#Build the model
model8<-ksvm(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model8)

## Length  Class   Mode 
##      1   ksvm     S4

#Predict using the model
car_eval$pred_svm<-predict(model8,x,type="response")

#Accuracy of the model
mtab<-table(car_eval$pred_svm,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    375    0    33     0
##   good     8   60     3     0
##   unacc    0    0  1174     0
##   vgood    1    9     0    65
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9688          
##                  95% CI : (0.9594, 0.9764)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9333          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9766     0.86957       0.9702      1.00000
## Specificity              0.9754     0.99337       1.0000      0.99399
## Pos Pred Value           0.9191     0.84507       1.0000      0.86667
## Neg Pred Value           0.9932     0.99457       0.9350      1.00000
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2170     0.03472       0.6794      0.03762
## Detection Prevalence     0.2361     0.04109       0.6794      0.04340
## Balanced Accuracy        0.9760     0.93147       0.9851      0.99699

7)k-Nearest Neighbors

library(caret)

#Build the model
model9<-knn3(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,k=5)

#Summarize the model
summary(model9)

##         Length Class  Mode   
## learn   2      -none- list   
## k       1      -none- numeric
## terms   3      terms  call   
## xlevels 6      -none- list   
## theDots 0      -none- list

#Predict using the model
car_eval$pred_knn<-predict(model9,x,type="class")

#Accuracy of the model
mtab<-table(car_eval$pred_knn,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    336   43    11    18
##   good     6   17     0     4
##   unacc   41    6  1199     0
##   vgood    1    3     0    43
## 
## Overall Statistics
##                                           
##                Accuracy : 0.923           
##                  95% CI : (0.9094, 0.9352)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.8255          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.8750    0.246377       0.9909      0.66154
## Specificity              0.9464    0.993972       0.9093      0.99759
## Pos Pred Value           0.8235    0.629630       0.9623      0.91489
## Neg Pred Value           0.9636    0.969430       0.9772      0.98691
## Prevalence               0.2222    0.039931       0.7002      0.03762
## Detection Rate           0.1944    0.009838       0.6939      0.02488
## Detection Prevalence     0.2361    0.015625       0.7211      0.02720
## Balanced Accuracy        0.9107    0.620175       0.9501      0.82957

8)Naive Bayes

library(e1071)

#Build the model
model10<-naiveBayes(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,k=5)

#Summarize the model
summary(model10)

##         Length Class  Mode     
## apriori 4      table  numeric  
## tables  6      -none- list     
## levels  4      -none- character
## call    5      -none- call

#Predict using the model
car_eval$pred_naive<-predict(model10,x)

#Accuracy of the model
mtab<-table(car_eval$pred_naive,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    289   46    47    26
##   good    10   21     2     0
##   unacc   85    0  1161     0
##   vgood    0    2     0    39
## 
## Overall Statistics
##                                           
##                Accuracy : 0.8738          
##                  95% CI : (0.8573, 0.8891)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.7139          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.7526     0.30435       0.9595      0.60000
## Specificity              0.9115     0.99277       0.8359      0.99880
## Pos Pred Value           0.7083     0.63636       0.9318      0.95122
## Neg Pred Value           0.9280     0.97168       0.8983      0.98459
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.1672     0.01215       0.6719      0.02257
## Detection Prevalence     0.2361     0.01910       0.7211      0.02373
## Balanced Accuracy        0.8320     0.64856       0.8977      0.79940

C)Non-Linear Classification with Decision Trees

1)Classification and Regression Trees(CART)

library(rpart)

#Build the model
model11<-rpart(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model11)

## Call:
## rpart(formula = class ~ buying + maint + doors + persons + lug_boot + 
##     safety, data = car_eval)
##   n= 1728 
## 
##           CP nsplit rel error    xerror       xstd
## 1 0.12934363      0 1.0000000 1.0000000 0.03676681
## 2 0.11583012      2 0.7413127 0.8957529 0.03556566
## 3 0.04054054      4 0.5096525 0.5096525 0.02887160
## 4 0.03088803      7 0.3880309 0.4227799 0.02669716
## 5 0.02702703      9 0.3262548 0.3436293 0.02439351
## 6 0.02316602     10 0.2992278 0.3127413 0.02339116
## 7 0.01737452     12 0.2528958 0.2644788 0.02168172
## 8 0.01544402     14 0.2181467 0.2471042 0.02101664
## 9 0.01000000     16 0.1872587 0.1872587 0.01847189
## 
## Variable importance
##   safety    maint  persons   buying lug_boot 
##       39       21       20       10       10 
## 
## Node number 1: 1728 observations,    complexity param=0.1293436
##   predicted class=unacc  expected loss=0.2997685  P(node) =1
##     class counts:   384    69  1210    65
##    probabilities: 0.222 0.040 0.700 0.038 
##   left son=2 (1152 obs) right son=3 (576 obs)
##   Primary splits:
##       persons  splits as  RLL,  improve=122.906800, (0 missing)
##       safety   splits as  LRL,  improve=122.906800, (0 missing)
##       buying   splits as  RLLR, improve= 19.980320, (0 missing)
##       maint    splits as  RLLR, improve= 15.177080, (0 missing)
##       lug_boot splits as  LLR,  improve=  8.281829, (0 missing)
## 
## Node number 2: 1152 observations,    complexity param=0.1293436
##   predicted class=unacc  expected loss=0.4496528  P(node) =0.6666667
##     class counts:   384    69   634    65
##    probabilities: 0.333 0.060 0.550 0.056 
##   left son=4 (768 obs) right son=5 (384 obs)
##   Primary splits:
##       safety   splits as  LRL,  improve=184.360200, (0 missing)
##       buying   splits as  RLLR, improve= 29.970490, (0 missing)
##       maint    splits as  RLLR, improve= 22.765630, (0 missing)
##       lug_boot splits as  LLR,  improve= 12.422740, (0 missing)
##       doors    splits as  RLLL, improve=  3.802662, (0 missing)
## 
## Node number 3: 576 observations
##   predicted class=unacc  expected loss=0  P(node) =0.3333333
##     class counts:     0     0   576     0
##    probabilities: 0.000 0.000 1.000 0.000 
## 
## Node number 4: 768 observations,    complexity param=0.1158301
##   predicted class=acc    expected loss=0.5  P(node) =0.4444444
##     class counts:   384    69   250    65
##    probabilities: 0.500 0.090 0.326 0.085 
##   left son=8 (384 obs) right son=9 (384 obs)
##   Primary splits:
##       buying   splits as  RLLR, improve=44.955730, (0 missing)
##       maint    splits as  RLLR, improve=34.148440, (0 missing)
##       lug_boot splits as  LLR,  improve=18.634110, (0 missing)
##       safety   splits as  R-L,  improve=14.690100, (0 missing)
##       doors    splits as  RLLL, improve= 5.703993, (0 missing)
## 
## Node number 5: 384 observations
##   predicted class=unacc  expected loss=0  P(node) =0.2222222
##     class counts:     0     0   384     0
##    probabilities: 0.000 0.000 1.000 0.000 
## 
## Node number 8: 384 observations,    complexity param=0.04054054
##   predicted class=acc    expected loss=0.46875  P(node) =0.2222222
##     class counts:   204    69    46    65
##    probabilities: 0.531 0.180 0.120 0.169 
##   left son=16 (192 obs) right son=17 (192 obs)
##   Primary splits:
##       maint    splits as  LRRL, improve=34.546880, (0 missing)
##       safety   splits as  R-L,  improve=15.317710, (0 missing)
##       lug_boot splits as  RRL,  improve=11.096350, (0 missing)
##       buying   splits as  -RL-, improve= 3.838542, (0 missing)
##       doors    splits as  RLLL, improve= 3.491319, (0 missing)
## 
## Node number 9: 384 observations,    complexity param=0.1158301
##   predicted class=unacc  expected loss=0.46875  P(node) =0.2222222
##     class counts:   180     0   204     0
##    probabilities: 0.469 0.000 0.531 0.000 
##   left son=18 (192 obs) right son=19 (192 obs)
##   Primary splits:
##       maint    splits as  RLLR, improve=60.750000, (0 missing)
##       lug_boot splits as  LLR,  improve=14.648440, (0 missing)
##       safety   splits as  L-R,  improve=13.020830, (0 missing)
##       buying   splits as  L--R, improve= 6.750000, (0 missing)
##       doors    splits as  RLLL, improve= 2.777778, (0 missing)
## 
## Node number 16: 192 observations,    complexity param=0.01737452
##   predicted class=acc    expected loss=0.265625  P(node) =0.1111111
##     class counts:   141     0    38    13
##    probabilities: 0.734 0.000 0.198 0.068 
##   left son=32 (128 obs) right son=33 (64 obs)
##   Primary splits:
##       lug_boot splits as  LLR,  improve=10.067710, (0 missing)
##       safety   splits as  L-R,  improve= 7.072917, (0 missing)
##       doors    splits as  RLLL, improve= 2.690972, (0 missing)
##       buying   splits as  -RL-, improve= 1.447917, (0 missing)
##       maint    splits as  R--L, improve= 1.447917, (0 missing)
## 
## Node number 17: 192 observations,    complexity param=0.04054054
##   predicted class=good   expected loss=0.640625  P(node) =0.1111111
##     class counts:    63    69     8    52
##    probabilities: 0.328 0.359 0.042 0.271 
##   left son=34 (96 obs) right son=35 (96 obs)
##   Primary splits:
##       safety   splits as  R-L,  improve=24.135420, (0 missing)
##       lug_boot splits as  RRL,  improve=12.395830, (0 missing)
##       buying   splits as  -RL-, improve= 5.510417, (0 missing)
##       maint    splits as  -RL-, improve= 5.510417, (0 missing)
##       doors    splits as  LRRR, improve= 1.878472, (0 missing)
## 
## Node number 18: 192 observations,    complexity param=0.03088803
##   predicted class=acc    expected loss=0.25  P(node) =0.1111111
##     class counts:   144     0    48     0
##    probabilities: 0.750 0.000 0.250 0.000 
##   left son=36 (128 obs) right son=37 (64 obs)
##   Primary splits:
##       lug_boot splits as  LLR,  improve=18.750000, (0 missing)
##       safety   splits as  L-R,  improve=16.666670, (0 missing)
##       doors    splits as  RLLL, improve= 3.555556, (0 missing)
## 
## Node number 19: 192 observations,    complexity param=0.02316602
##   predicted class=unacc  expected loss=0.1875  P(node) =0.1111111
##     class counts:    36     0   156     0
##    probabilities: 0.187 0.000 0.812 0.000 
##   left son=38 (96 obs) right son=39 (96 obs)
##   Primary splits:
##       buying   splits as  L--R, improve=13.5000000, (0 missing)
##       maint    splits as  L--R, improve=13.5000000, (0 missing)
##       lug_boot splits as  LLR,  improve= 1.1718750, (0 missing)
##       safety   splits as  L-R,  improve= 1.0416670, (0 missing)
##       doors    splits as  RLLL, improve= 0.2222222, (0 missing)
## 
## Node number 32: 128 observations
##   predicted class=acc    expected loss=0.171875  P(node) =0.07407407
##     class counts:   106     0     9    13
##    probabilities: 0.828 0.000 0.070 0.102 
## 
## Node number 33: 64 observations,    complexity param=0.01737452
##   predicted class=acc    expected loss=0.453125  P(node) =0.03703704
##     class counts:    35     0    29     0
##    probabilities: 0.547 0.000 0.453 0.000 
##   left son=66 (32 obs) right son=67 (32 obs)
##   Primary splits:
##       safety  splits as  L-R,  improve=13.78125, (0 missing)
##       doors   splits as  RLLL, improve= 2.34375, (0 missing)
##       buying  splits as  -LR-, improve= 1.53125, (0 missing)
##       maint   splits as  L--R, improve= 1.53125, (0 missing)
##       persons splits as  -LR,  improve= 0.78125, (0 missing)
## 
## Node number 34: 96 observations,    complexity param=0.02702703
##   predicted class=acc    expected loss=0.4479167  P(node) =0.05555556
##     class counts:    53    39     4     0
##    probabilities: 0.552 0.406 0.042 0.000 
##   left son=68 (32 obs) right son=69 (64 obs)
##   Primary splits:
##       lug_boot splits as  RRL,  improve=13.2604200, (0 missing)
##       buying   splits as  -RL-, improve= 3.5208330, (0 missing)
##       maint    splits as  -RL-, improve= 3.5208330, (0 missing)
##       doors    splits as  RLLL, improve= 1.3125000, (0 missing)
##       persons  splits as  -LR,  improve= 0.7708333, (0 missing)
## 
## Node number 35: 96 observations,    complexity param=0.04054054
##   predicted class=vgood  expected loss=0.4583333  P(node) =0.05555556
##     class counts:    10    30     4    52
##    probabilities: 0.104 0.313 0.042 0.542 
##   left son=70 (32 obs) right son=71 (64 obs)
##   Primary splits:
##       lug_boot splits as  RRL,  improve=20.718750, (0 missing)
##       buying   splits as  -RL-, improve= 2.083333, (0 missing)
##       maint    splits as  -RL-, improve= 2.083333, (0 missing)
##       doors    splits as  LLRR, improve= 2.083333, (0 missing)
##       persons  splits as  -LR,  improve= 0.750000, (0 missing)
## 
## Node number 36: 128 observations
##   predicted class=acc    expected loss=0.09375  P(node) =0.07407407
##     class counts:   116     0    12     0
##    probabilities: 0.906 0.000 0.094 0.000 
## 
## Node number 37: 64 observations,    complexity param=0.03088803
##   predicted class=unacc  expected loss=0.4375  P(node) =0.03703704
##     class counts:    28     0    36     0
##    probabilities: 0.438 0.000 0.563 0.000 
##   left son=74 (32 obs) right son=75 (32 obs)
##   Primary splits:
##       safety  splits as  L-R,  improve=24.5, (0 missing)
##       doors   splits as  RLLL, improve= 1.5, (0 missing)
##       persons splits as  -LR,  improve= 0.5, (0 missing)
## 
## Node number 38: 96 observations,    complexity param=0.02316602
##   predicted class=unacc  expected loss=0.375  P(node) =0.05555556
##     class counts:    36     0    60     0
##    probabilities: 0.375 0.000 0.625 0.000 
##   left son=76 (48 obs) right son=77 (48 obs)
##   Primary splits:
##       maint    splits as  L--R, improve=27.0000000, (0 missing)
##       lug_boot splits as  LLR,  improve= 2.3437500, (0 missing)
##       safety   splits as  L-R,  improve= 2.0833330, (0 missing)
##       doors    splits as  RLLL, improve= 0.4444444, (0 missing)
## 
## Node number 39: 96 observations
##   predicted class=unacc  expected loss=0  P(node) =0.05555556
##     class counts:     0     0    96     0
##    probabilities: 0.000 0.000 1.000 0.000 
## 
## Node number 66: 32 observations
##   predicted class=acc    expected loss=0.125  P(node) =0.01851852
##     class counts:    28     0     4     0
##    probabilities: 0.875 0.000 0.125 0.000 
## 
## Node number 67: 32 observations
##   predicted class=unacc  expected loss=0.21875  P(node) =0.01851852
##     class counts:     7     0    25     0
##    probabilities: 0.219 0.000 0.781 0.000 
## 
## Node number 68: 32 observations
##   predicted class=acc    expected loss=0.125  P(node) =0.01851852
##     class counts:    28     0     4     0
##    probabilities: 0.875 0.000 0.125 0.000 
## 
## Node number 69: 64 observations,    complexity param=0.01544402
##   predicted class=good   expected loss=0.390625  P(node) =0.03703704
##     class counts:    25    39     0     0
##    probabilities: 0.391 0.609 0.000 0.000 
##   left son=138 (32 obs) right son=139 (32 obs)
##   Primary splits:
##       buying   splits as  -RL-, improve=5.28125, (0 missing)
##       maint    splits as  -RL-, improve=5.28125, (0 missing)
##       doors    splits as  LLRR, improve=2.53125, (0 missing)
##       lug_boot splits as  RL-,  improve=2.53125, (0 missing)
##       persons  splits as  -LR,  improve=0.28125, (0 missing)
## 
## Node number 70: 32 observations
##   predicted class=good   expected loss=0.34375  P(node) =0.01851852
##     class counts:     7    21     4     0
##    probabilities: 0.219 0.656 0.125 0.000 
## 
## Node number 71: 64 observations
##   predicted class=vgood  expected loss=0.1875  P(node) =0.03703704
##     class counts:     3     9     0    52
##    probabilities: 0.047 0.141 0.000 0.812 
## 
## Node number 74: 32 observations
##   predicted class=acc    expected loss=0.125  P(node) =0.01851852
##     class counts:    28     0     4     0
##    probabilities: 0.875 0.000 0.125 0.000 
## 
## Node number 75: 32 observations
##   predicted class=unacc  expected loss=0  P(node) =0.01851852
##     class counts:     0     0    32     0
##    probabilities: 0.000 0.000 1.000 0.000 
## 
## Node number 76: 48 observations
##   predicted class=acc    expected loss=0.25  P(node) =0.02777778
##     class counts:    36     0    12     0
##    probabilities: 0.750 0.000 0.250 0.000 
## 
## Node number 77: 48 observations
##   predicted class=unacc  expected loss=0  P(node) =0.02777778
##     class counts:     0     0    48     0
##    probabilities: 0.000 0.000 1.000 0.000 
## 
## Node number 138: 32 observations,    complexity param=0.01544402
##   predicted class=acc    expected loss=0.40625  P(node) =0.01851852
##     class counts:    19    13     0     0
##    probabilities: 0.594 0.406 0.000 0.000 
##   left son=276 (16 obs) right son=277 (16 obs)
##   Primary splits:
##       maint    splits as  -RL-, improve=10.5625, (0 missing)
##       doors    splits as  LLRR, improve= 0.5625, (0 missing)
##       lug_boot splits as  RL-,  improve= 0.5625, (0 missing)
##       persons  splits as  -LR,  improve= 0.0625, (0 missing)
## 
## Node number 139: 32 observations
##   predicted class=good   expected loss=0.1875  P(node) =0.01851852
##     class counts:     6    26     0     0
##    probabilities: 0.188 0.812 0.000 0.000 
## 
## Node number 276: 16 observations
##   predicted class=acc    expected loss=0  P(node) =0.009259259
##     class counts:    16     0     0     0
##    probabilities: 1.000 0.000 0.000 0.000 
## 
## Node number 277: 16 observations
##   predicted class=good   expected loss=0.1875  P(node) =0.009259259
##     class counts:     3    13     0     0
##    probabilities: 0.188 0.812 0.000 0.000

#Predict using the model
car_eval$pred_cart<-predict(model11,x,type="class")

#Accuracy of the model
mtab<-table(car_eval$pred_cart,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    358    0    45    13
##   good    16   60     4     0
##   unacc    7    0  1161     0
##   vgood    3    9     0    52
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9439          
##                  95% CI : (0.9319, 0.9542)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.8806          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9323     0.86957       0.9595      0.80000
## Specificity              0.9568     0.98794       0.9865      0.99278
## Pos Pred Value           0.8606     0.75000       0.9940      0.81250
## Neg Pred Value           0.9802     0.99454       0.9125      0.99219
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2072     0.03472       0.6719      0.03009
## Detection Prevalence     0.2407     0.04630       0.6759      0.03704
## Balanced Accuracy        0.9446     0.92875       0.9730      0.89639

2)C4.5

library(RWeka)

#Build the model
model12<-J48(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model12)

## 
## === Summary ===
## 
## Correctly Classified Instances        1664               96.2963 %
## Incorrectly Classified Instances        64                3.7037 %
## Kappa statistic                          0.9207
## Mean absolute error                      0.0248
## Root mean squared error                  0.1114
## Relative absolute error                 10.8411 %
## Root relative squared error             32.9501 %
## Coverage of cases (0.95 level)         100      %
## Mean rel. region size (0.95 level)      29.0509 %
## Total Number of Instances             1728     
## 
## === Confusion Matrix ===
## 
##     a    b    c    d   <-- classified as
##   380    2    0    2 |    a = acc
##     9   57    0    3 |    b = good
##    35    3 1172    0 |    c = unacc
##     4    6    0   55 |    d = vgood

#Predict using the model
car_eval$pred_c45<-predict(model12,x)

#Accuracy of the model
mtab<-table(car_eval$pred_c45,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    380    9    35     4
##   good     2   57     3     6
##   unacc    0    0  1172     0
##   vgood    2    3     0    55
## 
## Overall Statistics
##                                           
##                Accuracy : 0.963           
##                  95% CI : (0.9529, 0.9714)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9207          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9896     0.82609       0.9686      0.84615
## Specificity              0.9643     0.99337       1.0000      0.99699
## Pos Pred Value           0.8879     0.83824       1.0000      0.91667
## Neg Pred Value           0.9969     0.99277       0.9317      0.99400
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2199     0.03299       0.6782      0.03183
## Detection Prevalence     0.2477     0.03935       0.6782      0.03472
## Balanced Accuracy        0.9769     0.90973       0.9843      0.92157

3)PART

library(RWeka)

#Build the model
model13<-PART(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model13)

## 
## === Summary ===
## 
## Correctly Classified Instances        1698               98.2639 %
## Incorrectly Classified Instances        30                1.7361 %
## Kappa statistic                          0.9622
## Mean absolute error                      0.0127
## Root mean squared error                  0.0795
## Relative absolute error                  5.5245 %
## Root relative squared error             23.5216 %
## Coverage of cases (0.95 level)         100      %
## Mean rel. region size (0.95 level)      26.8374 %
## Total Number of Instances             1728     
## 
## === Confusion Matrix ===
## 
##     a    b    c    d   <-- classified as
##   374    1    6    3 |    a = acc
##     3   63    1    2 |    b = good
##    13    1 1196    0 |    c = unacc
##     0    0    0   65 |    d = vgood

#Predict using the model
car_eval$pred_part<-predict(model13,x)

#Accuracy of the model
mtab<-table(car_eval$pred_part,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    374    3    13     0
##   good     1   63     1     0
##   unacc    6    1  1196     0
##   vgood    3    2     0    65
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9826          
##                  95% CI : (0.9753, 0.9883)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9622          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9740     0.91304       0.9884      1.00000
## Specificity              0.9881     0.99879       0.9865      0.99699
## Pos Pred Value           0.9590     0.96923       0.9942      0.92857
## Neg Pred Value           0.9925     0.99639       0.9733      1.00000
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2164     0.03646       0.6921      0.03762
## Detection Prevalence     0.2257     0.03762       0.6962      0.04051
## Balanced Accuracy        0.9810     0.95592       0.9875      0.99850

4)Bagging CART

library(ipred)

#Build the model
model14<-bagging(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model14)

## 
## Bagging classification trees with 25 bootstrap replications 
## 
## Call: bagging.data.frame(formula = class ~ buying + maint + doors + 
##     persons + lug_boot + safety, data = car_eval)

## $y
##    [1] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [12] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [23] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [34] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [45] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [56] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [67] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [78] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##   [89] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [100] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [111] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [122] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [133] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [144] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [155] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [166] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [177] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [188] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [199] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [210] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [221] unacc unacc unacc unacc unacc unacc unacc acc   unacc unacc acc  
##  [232] unacc acc   acc   unacc unacc unacc unacc unacc acc   unacc acc  
##  [243] acc   unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [254] unacc acc   unacc unacc acc   unacc acc   acc   unacc unacc acc  
##  [265] unacc acc   acc   unacc acc   acc   unacc unacc unacc unacc unacc
##  [276] unacc unacc unacc unacc unacc unacc acc   unacc acc   acc   unacc
##  [287] acc   acc   unacc unacc acc   unacc acc   acc   unacc acc   acc  
##  [298] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [309] acc   unacc acc   acc   unacc acc   acc   unacc unacc acc   unacc
##  [320] acc   acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc
##  [331] unacc unacc unacc unacc unacc acc   unacc unacc acc   unacc acc  
##  [342] acc   unacc unacc unacc unacc unacc acc   unacc acc   acc   unacc
##  [353] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc  
##  [364] unacc unacc acc   unacc acc   acc   unacc unacc acc   unacc acc  
##  [375] acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc
##  [386] unacc unacc unacc unacc acc   unacc acc   acc   unacc acc   acc  
##  [397] unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc
##  [408] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc
##  [419] acc   acc   unacc acc   acc   unacc unacc acc   unacc acc   acc  
##  [430] unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc
##  [441] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [452] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [463] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [474] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [485] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [496] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [507] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [518] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [529] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [540] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [551] unacc acc   unacc unacc acc   unacc acc   acc   unacc unacc unacc
##  [562] unacc unacc acc   unacc acc   acc   unacc unacc unacc unacc unacc
##  [573] unacc unacc unacc unacc unacc unacc acc   unacc unacc acc   unacc
##  [584] acc   acc   unacc unacc acc   unacc acc   acc   unacc acc   acc  
##  [595] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [606] acc   unacc acc   acc   unacc acc   acc   unacc unacc acc   unacc
##  [617] acc   acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc
##  [628] unacc unacc unacc unacc unacc acc   unacc acc   acc   unacc acc  
##  [639] acc   unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc
##  [650] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc  
##  [661] unacc unacc acc   unacc acc   acc   unacc unacc unacc unacc unacc
##  [672] acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc
##  [683] unacc unacc unacc unacc acc   unacc unacc acc   unacc acc   acc  
##  [694] unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc
##  [705] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc
##  [716] acc   acc   unacc acc   acc   unacc unacc acc   unacc acc   acc  
##  [727] unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc
##  [738] unacc unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc
##  [749] unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc unacc
##  [760] unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc unacc
##  [771] acc   unacc acc   acc   unacc unacc unacc unacc unacc acc   unacc
##  [782] acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [793] unacc unacc acc   unacc unacc acc   unacc acc   acc   unacc unacc
##  [804] acc   unacc acc   acc   unacc acc   acc   unacc unacc unacc unacc
##  [815] unacc unacc unacc unacc unacc unacc unacc acc   unacc acc   acc  
##  [826] unacc acc   acc   unacc unacc acc   unacc acc   acc   unacc acc  
##  [837] acc   unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [848] unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc acc  
##  [859] unacc acc   acc   unacc acc   acc   unacc unacc unacc unacc unacc
##  [870] unacc unacc unacc unacc unacc unacc acc   unacc unacc acc   unacc
##  [881] acc   acc   unacc unacc unacc unacc unacc acc   unacc acc   acc  
##  [892] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
##  [903] acc   unacc unacc acc   unacc acc   acc   unacc unacc acc   unacc
##  [914] acc   acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc
##  [925] unacc unacc unacc unacc unacc acc   unacc acc   acc   unacc acc  
##  [936] acc   unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc
##  [947] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc  
##  [958] unacc acc   acc   unacc acc   acc   unacc unacc acc   unacc acc  
##  [969] acc   unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc
##  [980] unacc unacc unacc unacc acc   unacc unacc acc   unacc acc   acc  
##  [991] unacc unacc unacc unacc unacc acc   unacc acc   acc   unacc unacc
## [1002] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc
## [1013] unacc acc   unacc acc   acc   unacc unacc acc   unacc acc   acc  
## [1024] unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc
## [1035] unacc unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc
## [1046] unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc unacc
## [1057] unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc acc  
## [1068] acc   unacc acc   acc   unacc unacc acc   unacc acc   acc   unacc
## [1079] acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1090] unacc acc   acc   unacc acc   acc   unacc acc   vgood unacc unacc
## [1101] unacc unacc acc   acc   unacc acc   vgood unacc unacc unacc unacc
## [1112] unacc unacc unacc unacc unacc unacc acc   acc   unacc acc   acc  
## [1123] unacc acc   vgood unacc acc   acc   unacc acc   vgood unacc acc  
## [1134] vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1145] acc   acc   unacc acc   vgood unacc acc   vgood unacc acc   acc  
## [1156] unacc acc   vgood unacc acc   vgood unacc unacc unacc unacc unacc
## [1167] unacc unacc unacc unacc unacc acc   acc   unacc acc   vgood unacc
## [1178] acc   vgood unacc acc   acc   unacc acc   vgood unacc acc   vgood
## [1189] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc  
## [1200] good  unacc acc   good  unacc good  vgood unacc unacc unacc unacc
## [1211] acc   good  unacc good  vgood unacc unacc unacc unacc unacc unacc
## [1222] unacc unacc unacc unacc acc   good  unacc acc   good  unacc good 
## [1233] vgood unacc acc   good  unacc good  vgood unacc good  vgood unacc
## [1244] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   good 
## [1255] unacc good  vgood unacc good  vgood unacc acc   good  unacc good 
## [1266] vgood unacc good  vgood unacc unacc unacc unacc unacc unacc unacc
## [1277] unacc unacc unacc acc   good  unacc good  vgood unacc good  vgood
## [1288] unacc acc   good  unacc good  vgood unacc good  vgood unacc unacc
## [1299] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc
## [1310] unacc acc   unacc acc   acc   unacc unacc unacc unacc unacc acc  
## [1321] unacc acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc
## [1332] unacc unacc unacc acc   unacc unacc acc   unacc acc   acc   unacc
## [1343] unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc unacc
## [1354] unacc unacc unacc unacc unacc unacc unacc unacc acc   unacc acc  
## [1365] acc   unacc acc   acc   unacc unacc acc   unacc acc   acc   unacc
## [1376] acc   acc   unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1387] unacc unacc acc   unacc acc   acc   unacc acc   acc   unacc unacc
## [1398] acc   unacc acc   acc   unacc acc   acc   unacc unacc unacc unacc
## [1409] unacc unacc unacc unacc unacc unacc acc   acc   unacc acc   acc  
## [1420] unacc acc   vgood unacc unacc unacc unacc acc   acc   unacc acc  
## [1431] vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1442] acc   acc   unacc acc   acc   unacc acc   vgood unacc acc   acc  
## [1453] unacc acc   vgood unacc acc   vgood unacc unacc unacc unacc unacc
## [1464] unacc unacc unacc unacc unacc acc   acc   unacc acc   vgood unacc
## [1475] acc   vgood unacc acc   acc   unacc acc   vgood unacc acc   vgood
## [1486] unacc unacc unacc unacc unacc unacc unacc unacc unacc unacc acc  
## [1497] acc   unacc acc   vgood unacc acc   vgood unacc acc   acc   unacc
## [1508] acc   vgood unacc acc   vgood unacc unacc unacc unacc unacc unacc
## [1519] unacc unacc unacc unacc acc   good  unacc acc   good  unacc good 
## [1530] vgood unacc unacc unacc unacc acc   good  unacc good  vgood unacc
## [1541] unacc unacc unacc unacc unacc unacc unacc unacc unacc acc   good 
## [1552] unacc acc   good  unacc good  vgood unacc acc   good  unacc good 
## [1563] vgood unacc good  vgood unacc unacc unacc unacc unacc unacc unacc
## [1574] unacc unacc unacc acc   good  unacc good  vgood unacc good  vgood
## [1585] unacc acc   good  unacc good  vgood unacc good  vgood unacc unacc
## [1596] unacc unacc unacc unacc unacc unacc unacc unacc acc   good  unacc
## [1607] good  vgood unacc good  vgood unacc acc   good  unacc good  vgood
## [1618] unacc good  vgood unacc unacc unacc unacc unacc unacc unacc unacc
## [1629] unacc unacc acc   good  unacc acc   good  unacc good  vgood unacc
## [1640] unacc unacc unacc acc   good  unacc good  vgood unacc unacc unacc
## [1651] unacc unacc unacc unacc unacc unacc unacc acc   good  unacc acc  
## [1662] good  unacc good  vgood unacc acc   good  unacc good  vgood unacc
## [1673] good  vgood unacc unacc unacc unacc unacc unacc unacc unacc unacc
## [1684] unacc acc   good  unacc good  vgood unacc good  vgood unacc acc  
## [1695] good  unacc good  vgood unacc good  vgood unacc unacc unacc unacc
## [1706] unacc unacc unacc unacc unacc unacc acc   good  unacc good  vgood
## [1717] unacc good  vgood unacc acc   good  unacc good  vgood unacc good 
## [1728] vgood
## Levels: acc good unacc vgood
## 
## $X
##      buying maint doors persons lug_boot safety
## 1     vhigh vhigh     2       2    small    low
## 2     vhigh vhigh     2       2    small    med
## 3     vhigh vhigh     2       2    small   high
## 4     vhigh vhigh     2       2      med    low
## 5     vhigh vhigh     2       2      med    med
## 6     vhigh vhigh     2       2      med   high
## 7     vhigh vhigh     2       2      big    low
## 8     vhigh vhigh     2       2      big    med
## 9     vhigh vhigh     2       2      big   high
## 10    vhigh vhigh     2       4    small    low
## 11    vhigh vhigh     2       4    small    med
## 12    vhigh vhigh     2       4    small   high
## 13    vhigh vhigh     2       4      med    low
## 14    vhigh vhigh     2       4      med    med
## 15    vhigh vhigh     2       4      med   high
## 16    vhigh vhigh     2       4      big    low
## 17    vhigh vhigh     2       4      big    med
## 18    vhigh vhigh     2       4      big   high
## 19    vhigh vhigh     2    more    small    low
## 20    vhigh vhigh     2    more    small    med
## 21    vhigh vhigh     2    more    small   high
## 22    vhigh vhigh     2    more      med    low
## 23    vhigh vhigh     2    more      med    med
## 24    vhigh vhigh     2    more      med   high
## 25    vhigh vhigh     2    more      big    low
## 26    vhigh vhigh     2    more      big    med
## 27    vhigh vhigh     2    more      big   high
## 28    vhigh vhigh     3       2    small    low
## 29    vhigh vhigh     3       2    small    med
## 30    vhigh vhigh     3       2    small   high
## 31    vhigh vhigh     3       2      med    low
## 32    vhigh vhigh     3       2      med    med
## 33    vhigh vhigh     3       2      med   high
## 34    vhigh vhigh     3       2      big    low
## 35    vhigh vhigh     3       2      big    med
## 36    vhigh vhigh     3       2      big   high
## 37    vhigh vhigh     3       4    small    low
## 38    vhigh vhigh     3       4    small    med
## 39    vhigh vhigh     3       4    small   high
## 40    vhigh vhigh     3       4      med    low
## 41    vhigh vhigh     3       4      med    med
## 42    vhigh vhigh     3       4      med   high
## 43    vhigh vhigh     3       4      big    low
## 44    vhigh vhigh     3       4      big    med
## 45    vhigh vhigh     3       4      big   high
## 46    vhigh vhigh     3    more    small    low
## 47    vhigh vhigh     3    more    small    med
## 48    vhigh vhigh     3    more    small   high
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## 99    vhigh vhigh 5more       4      big   high
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## 159   vhigh  high     3    more      med   high
## 160   vhigh  high     3    more      big    low
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## 199   vhigh  high 5more       4    small    low
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## 210   vhigh  high 5more    more    small   high
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## 212   vhigh  high 5more    more      med    med
## 213   vhigh  high 5more    more      med   high
## 214   vhigh  high 5more    more      big    low
## 215   vhigh  high 5more    more      big    med
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## 239   vhigh   med     2    more      med    med
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## 242   vhigh   med     2    more      big    med
## 243   vhigh   med     2    more      big   high
## 244   vhigh   med     3       2    small    low
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## 246   vhigh   med     3       2    small   high
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## 252   vhigh   med     3       2      big   high
## 253   vhigh   med     3       4    small    low
## 254   vhigh   med     3       4    small    med
## 255   vhigh   med     3       4    small   high
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## 257   vhigh   med     3       4      med    med
## 258   vhigh   med     3       4      med   high
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## 260   vhigh   med     3       4      big    med
## 261   vhigh   med     3       4      big   high
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## 263   vhigh   med     3    more    small    med
## 264   vhigh   med     3    more    small   high
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## 266   vhigh   med     3    more      med    med
## 267   vhigh   med     3    more      med   high
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## 269   vhigh   med     3    more      big    med
## 270   vhigh   med     3    more      big   high
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## 273   vhigh   med     4       2    small   high
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## 275   vhigh   med     4       2      med    med
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## 282   vhigh   med     4       4    small   high
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## 287   vhigh   med     4       4      big    med
## 288   vhigh   med     4       4      big   high
## 289   vhigh   med     4    more    small    low
## 290   vhigh   med     4    more    small    med
## 291   vhigh   med     4    more    small   high
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## 303   vhigh   med 5more       2      med   high
## 304   vhigh   med 5more       2      big    low
## 305   vhigh   med 5more       2      big    med
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## 307   vhigh   med 5more       4    small    low
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## 309   vhigh   med 5more       4    small   high
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## 311   vhigh   med 5more       4      med    med
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## 314   vhigh   med 5more       4      big    med
## 315   vhigh   med 5more       4      big   high
## 316   vhigh   med 5more    more    small    low
## 317   vhigh   med 5more    more    small    med
## 318   vhigh   med 5more    more    small   high
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## 320   vhigh   med 5more    more      med    med
## 321   vhigh   med 5more    more      med   high
## 322   vhigh   med 5more    more      big    low
## 323   vhigh   med 5more    more      big    med
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## 333   vhigh   low     2       2      big   high
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## 345   vhigh   low     2    more    small   high
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## 350   vhigh   low     2    more      big    med
## 351   vhigh   low     2    more      big   high
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## 353   vhigh   low     3       2    small    med
## 354   vhigh   low     3       2    small   high
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## 360   vhigh   low     3       2      big   high
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## 365   vhigh   low     3       4      med    med
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## 369   vhigh   low     3       4      big   high
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## 385   vhigh   low     4       2      big    low
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## 393   vhigh   low     4       4      med   high
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## 395   vhigh   low     4       4      big    med
## 396   vhigh   low     4       4      big   high
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## 398   vhigh   low     4    more    small    med
## 399   vhigh   low     4    more    small   high
## 400   vhigh   low     4    more      med    low
## 401   vhigh   low     4    more      med    med
## 402   vhigh   low     4    more      med   high
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## 404   vhigh   low     4    more      big    med
## 405   vhigh   low     4    more      big   high
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## 410   vhigh   low 5more       2      med    med
## 411   vhigh   low 5more       2      med   high
## 412   vhigh   low 5more       2      big    low
## 413   vhigh   low 5more       2      big    med
## 414   vhigh   low 5more       2      big   high
## 415   vhigh   low 5more       4    small    low
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## 417   vhigh   low 5more       4    small   high
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## 419   vhigh   low 5more       4      med    med
## 420   vhigh   low 5more       4      med   high
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## 422   vhigh   low 5more       4      big    med
## 423   vhigh   low 5more       4      big   high
## 424   vhigh   low 5more    more    small    low
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## 444    high vhigh     2       4    small   high
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## 447    high vhigh     2       4      med   high
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## 450    high vhigh     2       4      big   high
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## 453    high vhigh     2    more    small   high
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## 456    high vhigh     2    more      med   high
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## 458    high vhigh     2    more      big    med
## 459    high vhigh     2    more      big   high
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## 461    high vhigh     3       2    small    med
## 462    high vhigh     3       2    small   high
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## 464    high vhigh     3       2      med    med
## 465    high vhigh     3       2      med   high
## 466    high vhigh     3       2      big    low
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## 468    high vhigh     3       2      big   high
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## 471    high vhigh     3       4    small   high
## 472    high vhigh     3       4      med    low
## 473    high vhigh     3       4      med    med
## 474    high vhigh     3       4      med   high
## 475    high vhigh     3       4      big    low
## 476    high vhigh     3       4      big    med
## 477    high vhigh     3       4      big   high
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## 480    high vhigh     3    more    small   high
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## 482    high vhigh     3    more      med    med
## 483    high vhigh     3    more      med   high
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## 485    high vhigh     3    more      big    med
## 486    high vhigh     3    more      big   high
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## 489    high vhigh     4       2    small   high
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## 491    high vhigh     4       2      med    med
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## 493    high vhigh     4       2      big    low
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## 495    high vhigh     4       2      big   high
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## 498    high vhigh     4       4    small   high
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## 500    high vhigh     4       4      med    med
## 501    high vhigh     4       4      med   high
## 502    high vhigh     4       4      big    low
## 503    high vhigh     4       4      big    med
## 504    high vhigh     4       4      big   high
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## 507    high vhigh     4    more    small   high
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## 509    high vhigh     4    more      med    med
## 510    high vhigh     4    more      med   high
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## 512    high vhigh     4    more      big    med
## 513    high vhigh     4    more      big   high
## 514    high vhigh 5more       2    small    low
## 515    high vhigh 5more       2    small    med
## 516    high vhigh 5more       2    small   high
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## 518    high vhigh 5more       2      med    med
## 519    high vhigh 5more       2      med   high
## 520    high vhigh 5more       2      big    low
## 521    high vhigh 5more       2      big    med
## 522    high vhigh 5more       2      big   high
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## 524    high vhigh 5more       4    small    med
## 525    high vhigh 5more       4    small   high
## 526    high vhigh 5more       4      med    low
## 527    high vhigh 5more       4      med    med
## 528    high vhigh 5more       4      med   high
## 529    high vhigh 5more       4      big    low
## 530    high vhigh 5more       4      big    med
## 531    high vhigh 5more       4      big   high
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## 1018    med  high     3    more    small    low
## 1019    med  high     3    more    small    med
## 1020    med  high     3    more    small   high
## 1021    med  high     3    more      med    low
## 1022    med  high     3    more      med    med
## 1023    med  high     3    more      med   high
## 1024    med  high     3    more      big    low
## 1025    med  high     3    more      big    med
## 1026    med  high     3    more      big   high
## 1027    med  high     4       2    small    low
## 1028    med  high     4       2    small    med
## 1029    med  high     4       2    small   high
## 1030    med  high     4       2      med    low
## 1031    med  high     4       2      med    med
## 1032    med  high     4       2      med   high
## 1033    med  high     4       2      big    low
## 1034    med  high     4       2      big    med
## 1035    med  high     4       2      big   high
## 1036    med  high     4       4    small    low
## 1037    med  high     4       4    small    med
## 1038    med  high     4       4    small   high
## 1039    med  high     4       4      med    low
## 1040    med  high     4       4      med    med
## 1041    med  high     4       4      med   high
## 1042    med  high     4       4      big    low
## 1043    med  high     4       4      big    med
## 1044    med  high     4       4      big   high
## 1045    med  high     4    more    small    low
## 1046    med  high     4    more    small    med
## 1047    med  high     4    more    small   high
## 1048    med  high     4    more      med    low
## 1049    med  high     4    more      med    med
## 1050    med  high     4    more      med   high
## 1051    med  high     4    more      big    low
## 1052    med  high     4    more      big    med
## 1053    med  high     4    more      big   high
## 1054    med  high 5more       2    small    low
## 1055    med  high 5more       2    small    med
## 1056    med  high 5more       2    small   high
## 1057    med  high 5more       2      med    low
## 1058    med  high 5more       2      med    med
## 1059    med  high 5more       2      med   high
## 1060    med  high 5more       2      big    low
## 1061    med  high 5more       2      big    med
## 1062    med  high 5more       2      big   high
## 1063    med  high 5more       4    small    low
## 1064    med  high 5more       4    small    med
## 1065    med  high 5more       4    small   high
## 1066    med  high 5more       4      med    low
## 1067    med  high 5more       4      med    med
## 1068    med  high 5more       4      med   high
## 1069    med  high 5more       4      big    low
## 1070    med  high 5more       4      big    med
## 1071    med  high 5more       4      big   high
## 1072    med  high 5more    more    small    low
## 1073    med  high 5more    more    small    med
## 1074    med  high 5more    more    small   high
## 1075    med  high 5more    more      med    low
## 1076    med  high 5more    more      med    med
## 1077    med  high 5more    more      med   high
## 1078    med  high 5more    more      big    low
## 1079    med  high 5more    more      big    med
## 1080    med  high 5more    more      big   high
## 1081    med   med     2       2    small    low
## 1082    med   med     2       2    small    med
## 1083    med   med     2       2    small   high
## 1084    med   med     2       2      med    low
## 1085    med   med     2       2      med    med
## 1086    med   med     2       2      med   high
## 1087    med   med     2       2      big    low
## 1088    med   med     2       2      big    med
## 1089    med   med     2       2      big   high
## 1090    med   med     2       4    small    low
## 1091    med   med     2       4    small    med
## 1092    med   med     2       4    small   high
## 1093    med   med     2       4      med    low
## 1094    med   med     2       4      med    med
## 1095    med   med     2       4      med   high
## 1096    med   med     2       4      big    low
## 1097    med   med     2       4      big    med
## 1098    med   med     2       4      big   high
## 1099    med   med     2    more    small    low
## 1100    med   med     2    more    small    med
## 1101    med   med     2    more    small   high
## 1102    med   med     2    more      med    low
## 1103    med   med     2    more      med    med
## 1104    med   med     2    more      med   high
## 1105    med   med     2    more      big    low
## 1106    med   med     2    more      big    med
## 1107    med   med     2    more      big   high
## 1108    med   med     3       2    small    low
## 1109    med   med     3       2    small    med
## 1110    med   med     3       2    small   high
## 1111    med   med     3       2      med    low
## 1112    med   med     3       2      med    med
## 1113    med   med     3       2      med   high
## 1114    med   med     3       2      big    low
## 1115    med   med     3       2      big    med
## 1116    med   med     3       2      big   high
## 1117    med   med     3       4    small    low
## 1118    med   med     3       4    small    med
## 1119    med   med     3       4    small   high
## 1120    med   med     3       4      med    low
## 1121    med   med     3       4      med    med
## 1122    med   med     3       4      med   high
## 1123    med   med     3       4      big    low
## 1124    med   med     3       4      big    med
## 1125    med   med     3       4      big   high
## 1126    med   med     3    more    small    low
## 1127    med   med     3    more    small    med
## 1128    med   med     3    more    small   high
## 1129    med   med     3    more      med    low
## 1130    med   med     3    more      med    med
## 1131    med   med     3    more      med   high
## 1132    med   med     3    more      big    low
## 1133    med   med     3    more      big    med
## 1134    med   med     3    more      big   high
## 1135    med   med     4       2    small    low
## 1136    med   med     4       2    small    med
## 1137    med   med     4       2    small   high
## 1138    med   med     4       2      med    low
## 1139    med   med     4       2      med    med
## 1140    med   med     4       2      med   high
## 1141    med   med     4       2      big    low
## 1142    med   med     4       2      big    med
## 1143    med   med     4       2      big   high
## 1144    med   med     4       4    small    low
## 1145    med   med     4       4    small    med
## 1146    med   med     4       4    small   high
## 1147    med   med     4       4      med    low
## 1148    med   med     4       4      med    med
## 1149    med   med     4       4      med   high
## 1150    med   med     4       4      big    low
## 1151    med   med     4       4      big    med
## 1152    med   med     4       4      big   high
## 1153    med   med     4    more    small    low
## 1154    med   med     4    more    small    med
## 1155    med   med     4    more    small   high
## 1156    med   med     4    more      med    low
## 1157    med   med     4    more      med    med
## 1158    med   med     4    more      med   high
## 1159    med   med     4    more      big    low
## 1160    med   med     4    more      big    med
## 1161    med   med     4    more      big   high
## 1162    med   med 5more       2    small    low
## 1163    med   med 5more       2    small    med
## 1164    med   med 5more       2    small   high
## 1165    med   med 5more       2      med    low
## 1166    med   med 5more       2      med    med
## 1167    med   med 5more       2      med   high
## 1168    med   med 5more       2      big    low
## 1169    med   med 5more       2      big    med
## 1170    med   med 5more       2      big   high
## 1171    med   med 5more       4    small    low
## 1172    med   med 5more       4    small    med
## 1173    med   med 5more       4    small   high
## 1174    med   med 5more       4      med    low
## 1175    med   med 5more       4      med    med
## 1176    med   med 5more       4      med   high
## 1177    med   med 5more       4      big    low
## 1178    med   med 5more       4      big    med
## 1179    med   med 5more       4      big   high
## 1180    med   med 5more    more    small    low
## 1181    med   med 5more    more    small    med
## 1182    med   med 5more    more    small   high
## 1183    med   med 5more    more      med    low
## 1184    med   med 5more    more      med    med
## 1185    med   med 5more    more      med   high
## 1186    med   med 5more    more      big    low
## 1187    med   med 5more    more      big    med
## 1188    med   med 5more    more      big   high
## 1189    med   low     2       2    small    low
## 1190    med   low     2       2    small    med
## 1191    med   low     2       2    small   high
## 1192    med   low     2       2      med    low
## 1193    med   low     2       2      med    med
## 1194    med   low     2       2      med   high
## 1195    med   low     2       2      big    low
## 1196    med   low     2       2      big    med
## 1197    med   low     2       2      big   high
## 1198    med   low     2       4    small    low
## 1199    med   low     2       4    small    med
## 1200    med   low     2       4    small   high
## 1201    med   low     2       4      med    low
## 1202    med   low     2       4      med    med
## 1203    med   low     2       4      med   high
## 1204    med   low     2       4      big    low
## 1205    med   low     2       4      big    med
## 1206    med   low     2       4      big   high
## 1207    med   low     2    more    small    low
## 1208    med   low     2    more    small    med
## 1209    med   low     2    more    small   high
## 1210    med   low     2    more      med    low
## 1211    med   low     2    more      med    med
## 1212    med   low     2    more      med   high
## 1213    med   low     2    more      big    low
## 1214    med   low     2    more      big    med
## 1215    med   low     2    more      big   high
## 1216    med   low     3       2    small    low
## 1217    med   low     3       2    small    med
## 1218    med   low     3       2    small   high
## 1219    med   low     3       2      med    low
## 1220    med   low     3       2      med    med
## 1221    med   low     3       2      med   high
## 1222    med   low     3       2      big    low
## 1223    med   low     3       2      big    med
## 1224    med   low     3       2      big   high
## 1225    med   low     3       4    small    low
## 1226    med   low     3       4    small    med
## 1227    med   low     3       4    small   high
## 1228    med   low     3       4      med    low
## 1229    med   low     3       4      med    med
## 1230    med   low     3       4      med   high
## 1231    med   low     3       4      big    low
## 1232    med   low     3       4      big    med
## 1233    med   low     3       4      big   high
## 1234    med   low     3    more    small    low
## 1235    med   low     3    more    small    med
## 1236    med   low     3    more    small   high
## 1237    med   low     3    more      med    low
## 1238    med   low     3    more      med    med
## 1239    med   low     3    more      med   high
## 1240    med   low     3    more      big    low
## 1241    med   low     3    more      big    med
## 1242    med   low     3    more      big   high
## 1243    med   low     4       2    small    low
## 1244    med   low     4       2    small    med
## 1245    med   low     4       2    small   high
## 1246    med   low     4       2      med    low
## 1247    med   low     4       2      med    med
## 1248    med   low     4       2      med   high
## 1249    med   low     4       2      big    low
## 1250    med   low     4       2      big    med
## 1251    med   low     4       2      big   high
## 1252    med   low     4       4    small    low
## 1253    med   low     4       4    small    med
## 1254    med   low     4       4    small   high
## 1255    med   low     4       4      med    low
## 1256    med   low     4       4      med    med
## 1257    med   low     4       4      med   high
## 1258    med   low     4       4      big    low
## 1259    med   low     4       4      big    med
## 1260    med   low     4       4      big   high
## 1261    med   low     4    more    small    low
## 1262    med   low     4    more    small    med
## 1263    med   low     4    more    small   high
## 1264    med   low     4    more      med    low
## 1265    med   low     4    more      med    med
## 1266    med   low     4    more      med   high
## 1267    med   low     4    more      big    low
## 1268    med   low     4    more      big    med
## 1269    med   low     4    more      big   high
## 1270    med   low 5more       2    small    low
## 1271    med   low 5more       2    small    med
## 1272    med   low 5more       2    small   high
## 1273    med   low 5more       2      med    low
## 1274    med   low 5more       2      med    med
## 1275    med   low 5more       2      med   high
## 1276    med   low 5more       2      big    low
## 1277    med   low 5more       2      big    med
## 1278    med   low 5more       2      big   high
## 1279    med   low 5more       4    small    low
## 1280    med   low 5more       4    small    med
## 1281    med   low 5more       4    small   high
## 1282    med   low 5more       4      med    low
## 1283    med   low 5more       4      med    med
## 1284    med   low 5more       4      med   high
## 1285    med   low 5more       4      big    low
## 1286    med   low 5more       4      big    med
## 1287    med   low 5more       4      big   high
## 1288    med   low 5more    more    small    low
## 1289    med   low 5more    more    small    med
## 1290    med   low 5more    more    small   high
## 1291    med   low 5more    more      med    low
## 1292    med   low 5more    more      med    med
## 1293    med   low 5more    more      med   high
## 1294    med   low 5more    more      big    low
## 1295    med   low 5more    more      big    med
## 1296    med   low 5more    more      big   high
## 1297    low vhigh     2       2    small    low
## 1298    low vhigh     2       2    small    med
## 1299    low vhigh     2       2    small   high
## 1300    low vhigh     2       2      med    low
## 1301    low vhigh     2       2      med    med
## 1302    low vhigh     2       2      med   high
## 1303    low vhigh     2       2      big    low
## 1304    low vhigh     2       2      big    med
## 1305    low vhigh     2       2      big   high
## 1306    low vhigh     2       4    small    low
## 1307    low vhigh     2       4    small    med
## 1308    low vhigh     2       4    small   high
## 1309    low vhigh     2       4      med    low
## 1310    low vhigh     2       4      med    med
## 1311    low vhigh     2       4      med   high
## 1312    low vhigh     2       4      big    low
## 1313    low vhigh     2       4      big    med
## 1314    low vhigh     2       4      big   high
## 1315    low vhigh     2    more    small    low
## 1316    low vhigh     2    more    small    med
## 1317    low vhigh     2    more    small   high
## 1318    low vhigh     2    more      med    low
## 1319    low vhigh     2    more      med    med
## 1320    low vhigh     2    more      med   high
## 1321    low vhigh     2    more      big    low
## 1322    low vhigh     2    more      big    med
## 1323    low vhigh     2    more      big   high
## 1324    low vhigh     3       2    small    low
## 1325    low vhigh     3       2    small    med
## 1326    low vhigh     3       2    small   high
## 1327    low vhigh     3       2      med    low
## 1328    low vhigh     3       2      med    med
## 1329    low vhigh     3       2      med   high
## 1330    low vhigh     3       2      big    low
## 1331    low vhigh     3       2      big    med
## 1332    low vhigh     3       2      big   high
## 1333    low vhigh     3       4    small    low
## 1334    low vhigh     3       4    small    med
## 1335    low vhigh     3       4    small   high
## 1336    low vhigh     3       4      med    low
## 1337    low vhigh     3       4      med    med
## 1338    low vhigh     3       4      med   high
## 1339    low vhigh     3       4      big    low
## 1340    low vhigh     3       4      big    med
## 1341    low vhigh     3       4      big   high
## 1342    low vhigh     3    more    small    low
## 1343    low vhigh     3    more    small    med
## 1344    low vhigh     3    more    small   high
## 1345    low vhigh     3    more      med    low
## 1346    low vhigh     3    more      med    med
## 1347    low vhigh     3    more      med   high
## 1348    low vhigh     3    more      big    low
## 1349    low vhigh     3    more      big    med
## 1350    low vhigh     3    more      big   high
## 1351    low vhigh     4       2    small    low
## 1352    low vhigh     4       2    small    med
## 1353    low vhigh     4       2    small   high
## 1354    low vhigh     4       2      med    low
## 1355    low vhigh     4       2      med    med
## 1356    low vhigh     4       2      med   high
## 1357    low vhigh     4       2      big    low
## 1358    low vhigh     4       2      big    med
## 1359    low vhigh     4       2      big   high
## 1360    low vhigh     4       4    small    low
## 1361    low vhigh     4       4    small    med
## 1362    low vhigh     4       4    small   high
## 1363    low vhigh     4       4      med    low
## 1364    low vhigh     4       4      med    med
## 1365    low vhigh     4       4      med   high
## 1366    low vhigh     4       4      big    low
## 1367    low vhigh     4       4      big    med
## 1368    low vhigh     4       4      big   high
## 1369    low vhigh     4    more    small    low
## 1370    low vhigh     4    more    small    med
## 1371    low vhigh     4    more    small   high
## 1372    low vhigh     4    more      med    low
## 1373    low vhigh     4    more      med    med
## 1374    low vhigh     4    more      med   high
## 1375    low vhigh     4    more      big    low
## 1376    low vhigh     4    more      big    med
## 1377    low vhigh     4    more      big   high
## 1378    low vhigh 5more       2    small    low
## 1379    low vhigh 5more       2    small    med
## 1380    low vhigh 5more       2    small   high
## 1381    low vhigh 5more       2      med    low
## 1382    low vhigh 5more       2      med    med
## 1383    low vhigh 5more       2      med   high
## 1384    low vhigh 5more       2      big    low
## 1385    low vhigh 5more       2      big    med
## 1386    low vhigh 5more       2      big   high
## 1387    low vhigh 5more       4    small    low
## 1388    low vhigh 5more       4    small    med
## 1389    low vhigh 5more       4    small   high
## 1390    low vhigh 5more       4      med    low
## 1391    low vhigh 5more       4      med    med
## 1392    low vhigh 5more       4      med   high
## 1393    low vhigh 5more       4      big    low
## 1394    low vhigh 5more       4      big    med
## 1395    low vhigh 5more       4      big   high
## 1396    low vhigh 5more    more    small    low
## 1397    low vhigh 5more    more    small    med
## 1398    low vhigh 5more    more    small   high
## 1399    low vhigh 5more    more      med    low
## 1400    low vhigh 5more    more      med    med
## 1401    low vhigh 5more    more      med   high
## 1402    low vhigh 5more    more      big    low
## 1403    low vhigh 5more    more      big    med
## 1404    low vhigh 5more    more      big   high
## 1405    low  high     2       2    small    low
## 1406    low  high     2       2    small    med
## 1407    low  high     2       2    small   high
## 1408    low  high     2       2      med    low
## 1409    low  high     2       2      med    med
## 1410    low  high     2       2      med   high
## 1411    low  high     2       2      big    low
## 1412    low  high     2       2      big    med
## 1413    low  high     2       2      big   high
## 1414    low  high     2       4    small    low
## 1415    low  high     2       4    small    med
## 1416    low  high     2       4    small   high
## 1417    low  high     2       4      med    low
## 1418    low  high     2       4      med    med
## 1419    low  high     2       4      med   high
## 1420    low  high     2       4      big    low
## 1421    low  high     2       4      big    med
## 1422    low  high     2       4      big   high
## 1423    low  high     2    more    small    low
## 1424    low  high     2    more    small    med
## 1425    low  high     2    more    small   high
## 1426    low  high     2    more      med    low
## 1427    low  high     2    more      med    med
## 1428    low  high     2    more      med   high
## 1429    low  high     2    more      big    low
## 1430    low  high     2    more      big    med
## 1431    low  high     2    more      big   high
## 1432    low  high     3       2    small    low
## 1433    low  high     3       2    small    med
## 1434    low  high     3       2    small   high
## 1435    low  high     3       2      med    low
## 1436    low  high     3       2      med    med
## 1437    low  high     3       2      med   high
## 1438    low  high     3       2      big    low
## 1439    low  high     3       2      big    med
## 1440    low  high     3       2      big   high
## 1441    low  high     3       4    small    low
## 1442    low  high     3       4    small    med
## 1443    low  high     3       4    small   high
## 1444    low  high     3       4      med    low
## 1445    low  high     3       4      med    med
## 1446    low  high     3       4      med   high
## 1447    low  high     3       4      big    low
## 1448    low  high     3       4      big    med
## 1449    low  high     3       4      big   high
## 1450    low  high     3    more    small    low
## 1451    low  high     3    more    small    med
## 1452    low  high     3    more    small   high
## 1453    low  high     3    more      med    low
## 1454    low  high     3    more      med    med
## 1455    low  high     3    more      med   high
## 1456    low  high     3    more      big    low
## 1457    low  high     3    more      big    med
## 1458    low  high     3    more      big   high
## 1459    low  high     4       2    small    low
## 1460    low  high     4       2    small    med
## 1461    low  high     4       2    small   high
## 1462    low  high     4       2      med    low
## 1463    low  high     4       2      med    med
## 1464    low  high     4       2      med   high
## 1465    low  high     4       2      big    low
## 1466    low  high     4       2      big    med
## 1467    low  high     4       2      big   high
## 1468    low  high     4       4    small    low
## 1469    low  high     4       4    small    med
## 1470    low  high     4       4    small   high
## 1471    low  high     4       4      med    low
## 1472    low  high     4       4      med    med
## 1473    low  high     4       4      med   high
## 1474    low  high     4       4      big    low
## 1475    low  high     4       4      big    med
## 1476    low  high     4       4      big   high
## 1477    low  high     4    more    small    low
## 1478    low  high     4    more    small    med
## 1479    low  high     4    more    small   high
## 1480    low  high     4    more      med    low
## 1481    low  high     4    more      med    med
## 1482    low  high     4    more      med   high
## 1483    low  high     4    more      big    low
## 1484    low  high     4    more      big    med
## 1485    low  high     4    more      big   high
## 1486    low  high 5more       2    small    low
## 1487    low  high 5more       2    small    med
## 1488    low  high 5more       2    small   high
## 1489    low  high 5more       2      med    low
## 1490    low  high 5more       2      med    med
## 1491    low  high 5more       2      med   high
## 1492    low  high 5more       2      big    low
## 1493    low  high 5more       2      big    med
## 1494    low  high 5more       2      big   high
## 1495    low  high 5more       4    small    low
## 1496    low  high 5more       4    small    med
## 1497    low  high 5more       4    small   high
## 1498    low  high 5more       4      med    low
## 1499    low  high 5more       4      med    med
## 1500    low  high 5more       4      med   high
## 1501    low  high 5more       4      big    low
## 1502    low  high 5more       4      big    med
## 1503    low  high 5more       4      big   high
## 1504    low  high 5more    more    small    low
## 1505    low  high 5more    more    small    med
## 1506    low  high 5more    more    small   high
## 1507    low  high 5more    more      med    low
## 1508    low  high 5more    more      med    med
## 1509    low  high 5more    more      med   high
## 1510    low  high 5more    more      big    low
## 1511    low  high 5more    more      big    med
## 1512    low  high 5more    more      big   high
## 1513    low   med     2       2    small    low
## 1514    low   med     2       2    small    med
## 1515    low   med     2       2    small   high
## 1516    low   med     2       2      med    low
## 1517    low   med     2       2      med    med
## 1518    low   med     2       2      med   high
## 1519    low   med     2       2      big    low
## 1520    low   med     2       2      big    med
## 1521    low   med     2       2      big   high
## 1522    low   med     2       4    small    low
## 1523    low   med     2       4    small    med
## 1524    low   med     2       4    small   high
## 1525    low   med     2       4      med    low
## 1526    low   med     2       4      med    med
## 1527    low   med     2       4      med   high
## 1528    low   med     2       4      big    low
## 1529    low   med     2       4      big    med
## 1530    low   med     2       4      big   high
## 1531    low   med     2    more    small    low
## 1532    low   med     2    more    small    med
## 1533    low   med     2    more    small   high
## 1534    low   med     2    more      med    low
## 1535    low   med     2    more      med    med
## 1536    low   med     2    more      med   high
## 1537    low   med     2    more      big    low
## 1538    low   med     2    more      big    med
## 1539    low   med     2    more      big   high
## 1540    low   med     3       2    small    low
## 1541    low   med     3       2    small    med
## 1542    low   med     3       2    small   high
## 1543    low   med     3       2      med    low
## 1544    low   med     3       2      med    med
## 1545    low   med     3       2      med   high
## 1546    low   med     3       2      big    low
## 1547    low   med     3       2      big    med
## 1548    low   med     3       2      big   high
## 1549    low   med     3       4    small    low
## 1550    low   med     3       4    small    med
## 1551    low   med     3       4    small   high
## 1552    low   med     3       4      med    low
## 1553    low   med     3       4      med    med
## 1554    low   med     3       4      med   high
## 1555    low   med     3       4      big    low
## 1556    low   med     3       4      big    med
## 1557    low   med     3       4      big   high
## 1558    low   med     3    more    small    low
## 1559    low   med     3    more    small    med
## 1560    low   med     3    more    small   high
## 1561    low   med     3    more      med    low
## 1562    low   med     3    more      med    med
## 1563    low   med     3    more      med   high
## 1564    low   med     3    more      big    low
## 1565    low   med     3    more      big    med
## 1566    low   med     3    more      big   high
## 1567    low   med     4       2    small    low
## 1568    low   med     4       2    small    med
## 1569    low   med     4       2    small   high
## 1570    low   med     4       2      med    low
## 1571    low   med     4       2      med    med
## 1572    low   med     4       2      med   high
## 1573    low   med     4       2      big    low
## 1574    low   med     4       2      big    med
## 1575    low   med     4       2      big   high
## 1576    low   med     4       4    small    low
## 1577    low   med     4       4    small    med
## 1578    low   med     4       4    small   high
## 1579    low   med     4       4      med    low
## 1580    low   med     4       4      med    med
## 1581    low   med     4       4      med   high
## 1582    low   med     4       4      big    low
## 1583    low   med     4       4      big    med
## 1584    low   med     4       4      big   high
## 1585    low   med     4    more    small    low
## 1586    low   med     4    more    small    med
## 1587    low   med     4    more    small   high
## 1588    low   med     4    more      med    low
## 1589    low   med     4    more      med    med
## 1590    low   med     4    more      med   high
## 1591    low   med     4    more      big    low
## 1592    low   med     4    more      big    med
## 1593    low   med     4    more      big   high
## 1594    low   med 5more       2    small    low
## 1595    low   med 5more       2    small    med
## 1596    low   med 5more       2    small   high
## 1597    low   med 5more       2      med    low
## 1598    low   med 5more       2      med    med
## 1599    low   med 5more       2      med   high
## 1600    low   med 5more       2      big    low
## 1601    low   med 5more       2      big    med
## 1602    low   med 5more       2      big   high
## 1603    low   med 5more       4    small    low
## 1604    low   med 5more       4    small    med
## 1605    low   med 5more       4    small   high
## 1606    low   med 5more       4      med    low
## 1607    low   med 5more       4      med    med
## 1608    low   med 5more       4      med   high
## 1609    low   med 5more       4      big    low
## 1610    low   med 5more       4      big    med
## 1611    low   med 5more       4      big   high
## 1612    low   med 5more    more    small    low
## 1613    low   med 5more    more    small    med
## 1614    low   med 5more    more    small   high
## 1615    low   med 5more    more      med    low
## 1616    low   med 5more    more      med    med
## 1617    low   med 5more    more      med   high
## 1618    low   med 5more    more      big    low
## 1619    low   med 5more    more      big    med
## 1620    low   med 5more    more      big   high
## 1621    low   low     2       2    small    low
## 1622    low   low     2       2    small    med
## 1623    low   low     2       2    small   high
## 1624    low   low     2       2      med    low
## 1625    low   low     2       2      med    med
## 1626    low   low     2       2      med   high
## 1627    low   low     2       2      big    low
## 1628    low   low     2       2      big    med
## 1629    low   low     2       2      big   high
## 1630    low   low     2       4    small    low
## 1631    low   low     2       4    small    med
## 1632    low   low     2       4    small   high
## 1633    low   low     2       4      med    low
## 1634    low   low     2       4      med    med
## 1635    low   low     2       4      med   high
## 1636    low   low     2       4      big    low
## 1637    low   low     2       4      big    med
## 1638    low   low     2       4      big   high
## 1639    low   low     2    more    small    low
## 1640    low   low     2    more    small    med
## 1641    low   low     2    more    small   high
## 1642    low   low     2    more      med    low
## 1643    low   low     2    more      med    med
## 1644    low   low     2    more      med   high
## 1645    low   low     2    more      big    low
## 1646    low   low     2    more      big    med
## 1647    low   low     2    more      big   high
## 1648    low   low     3       2    small    low
## 1649    low   low     3       2    small    med
## 1650    low   low     3       2    small   high
## 1651    low   low     3       2      med    low
## 1652    low   low     3       2      med    med
## 1653    low   low     3       2      med   high
## 1654    low   low     3       2      big    low
## 1655    low   low     3       2      big    med
## 1656    low   low     3       2      big   high
## 1657    low   low     3       4    small    low
## 1658    low   low     3       4    small    med
## 1659    low   low     3       4    small   high
## 1660    low   low     3       4      med    low
## 1661    low   low     3       4      med    med
## 1662    low   low     3       4      med   high
## 1663    low   low     3       4      big    low
## 1664    low   low     3       4      big    med
## 1665    low   low     3       4      big   high
## 1666    low   low     3    more    small    low
##  [ reached getOption("max.print") -- omitted 62 rows ]
## 
## $mtrees
## $mtrees[[1]]
## $bindx
##    [1]   42  127 1724  319 1560 1181 1350  667  383 1552 1372 1212 1141
##   [14] 1617  481  177  347  447  700  207  485 1560   33  674  697  233
##   [27] 1711  729 1139 1193  248 1289  177  591  174  899 1253 1177 1131
##   [40] 1416  110 1726  874 1462 1031  202  555 1568  802  492 1309  467
##   [53]   69  126  715  744 1493 1486 1047 1701 1084  757  787 1184 1073
##   [66]  456  419   36  179 1617 1231   19 1329 1121  138  716  817 1002
##   [79] 1674  768  993 1110 1204  743 1012 1663 1415 1318  500 1101  994
##   [92]  408 1572  583 1624 1114  662 1033 1225 1290  361  665  821  616
##  [105] 1404  105   58  747 1174 1338  344  549  440  285  515  535 1160
##  [118]  227  211  374  813 1017  472 1071 1503  305 1399 1695  829  403
##  [131] 1256  725 1322 1122   52  235  832  792 1224  945 1173  513  108
##  [144] 1195 1295 1523 1063  297 1509 1084 1474 1149 1373  109  812 1632
##  [157]  999   40  724  438  908 1450 1425 1509 1477   74   26 1527 1561
##  [170] 1677  770  397  673  199  422  309  699 1062  421  288 1171 1138
##  [183]  653  504 1503 1587   27  814  777 1410 1266 1427 1640 1663  544
##  [196]  115  337  553  119 1160  748  884   96 1386 1581 1467  530  337
##  [209]   16  792  607  265  244  875 1441 1615 1662  144 1309  667  643
##  [222]  554 1244 1150 1380  202  611  458  187  298  736  413 1088 1374
##  [235]  497  854  554  282  356  807  733  503  928  464 1371 1399  370
##  [248]  835  532  109  872  167  813 1309 1550 1221  319  198 1582  407
##  [261]   43 1224   25 1219  177  223 1020  173 1448 1173  159  734  241
##  [274]  251  381 1158 1476 1061 1541  925 1625  627  116  799   57  527
##  [287] 1263  896  830  288 1628   79  728 1289  372  442  747 1506  954
##  [300]  724 1024  708  330 1527  261  835  601 1606 1127  100  306  919
##  [313] 1071  349 1468  810  818 1556  714  992   40  392  117 1670  314
##  [326] 1719  888 1141 1110 1086  761  904 1521  646 1066  180  260 1150
##  [339] 1035 1436  663  933 1656  781  542 1411  975  130 1393 1711 1576
##  [352] 1578  128  713 1550 1304 1436  295 1527  847  439 1428  126 1023
##  [365] 1589  550  968 1271 1349 1179 1625  484    3 1477 1637 1386 1665
##  [378]  203  720 1405 1221  110  812 1318  427  966  434  847  846  244
##  [391]  272   84  754  661 1456   67  103 1160   92 1107 1362    6 1485
##  [404]  310  772  763   61 1143 1360  367   87  154  629 1079 1126  576
##  [417]  271  696 1475  232 1036  461  739 1522  750 1205 1626  471 1612
##  [430] 1004  901  199  821 1448 1198 1426  252   60  761 1244 1587 1648
##  [443] 1369 1456  183  671  609 1588  637  375 1233  496   34  393 1449
##  [456]  437 1442    5 1105  645   24  364  473 1655 1444 1105  912 1441
##  [469]  562  919  512  147  629 1632  771 1486 1581  687  720 1195 1664
##  [482] 1241  270  797 1522 1080 1456  495 1585 1227 1097 1076  374 1191
##  [495] 1251  586 1115  951  544  818 1147  209 1610 1355 1485 1234 1041
##  [508] 1299 1400  101  376  318   17 1540 1244  652  929   91  237  188
##  [521]  281  522  987 1219 1180  385  615 1058  434  338  116 1349  942
##  [534] 1616  641  482 1631  698  795   17 1407 1467  235  405  497  971
##  [547]  871  126  563 1452 1223 1490  644 1490  713  592  295  322  660
##  [560] 1115   77 1589  776  989  425  365  268 1242 1096 1578  304  866
##  [573] 1430  568 1318  647 1641   98  445  589 1274  931 1562 1095   22
##  [586]   77 1621  532  639 1285  679 1153 1674  412 1459  653 1243  842
##  [599]  965 1650   90  390  953  911  458 1085 1292  110  346 1678 1693
##  [612] 1096 1538  225 1307  223 1460  116  433 1175  862  522    2 1388
##  [625]  967  889 1717  706  519  267  221 1526 1488 1616 1114  163 1584
##  [638]  520 1002 1255 1060 1426 1491  140 1443  332  636  376  898 1019
##  [651] 1671 1648  321   60  350  531 1351  244  703  112 1012  387   13
##  [664] 1489  738  834  962 1321 1233 1247 1220 1083  253  513  296 1326
##  [677]  274 1271 1349 1184  431 1552 1196 1556  612  141 1607  566 1429
##  [690]  500  812  484 1480 1684 1422  233 1324 1360 1167 1380  780  154
##  [703] 1256  206 1070  664 1352  632 1027 1381 1401 1340   74  392 1023
##  [716] 1648   32 1041 1067 1048 1200  784   92 1152 1647 1315  553 1216
##  [729]  200 1357 1519  484  138 1211  842  593  304  626   46 1358 1656
##  [742]   65  147  779  671  991  971 1052  908  623  143  713  351 1462
##  [755]  670  533  334  388 1007  475  738  661  952  856  259  994 1042
##  [768] 1499  334 1105  802  898 1482  235  787 1666   46  560 1613  420
##  [781]  495 1159 1618 1171  722 1415  554   61  579  180  596  267 1325
##  [794]  247  318 1204  185  710  412 1327 1263  449 1452 1571 1632 1291
##  [807]  851  325  318 1410   11 1358  567 1048 1599 1636  476 1222  990
##  [820] 1707 1360 1405  956  598 1448  277 1688  318 1698  860 1260  514
##  [833]  937 1221 1117   10  698 1679 1672  443 1369 1491 1214  898 1681
##  [846] 1244  311  641   49  482  239  428  752 1148 1291 1455  970  621
##  [859]  405  964  835  982 1198 1541   16  336 1023 1664  860  100  360
##  [872]  416 1004  896 1094 1397  493  152 1524 1256  554  155  441  729
##  [885]  587  466   80 1065 1250 1530 1435 1354 1398 1342 1543  290 1132
##  [898] 1267  120  448  160 1565  206  651  755  788 1487  534   53 1295
##  [911] 1149  301  819 1586 1038  989 1067 1164 1306 1556  820  604 1400
##  [924] 1631  180  324 1501 1686 1723  672 1085 1483   48 1120 1391  251
##  [937] 1583 1595 1203 1290 1558 1627  640  121 1420  982  917  287 1205
##  [950]  640 1711   17  705  459  703 1387 1479  818 1367 1325 1419  302
##  [963]  962  436 1091 1156 1433 1363  663  692  589 1295  611  987 1685
##  [976]  399  544 1241  688  875  969  923 1669  762 1577 1638  340   44
##  [989]  350 1660  556  999 1397 1240  526  454 1018  796  705  750  490
## [1002]  476   59  344  130  119  133  564  139 1356 1685 1004 1273 1678
## [1015]  131 1017   14  528  520  527  145 1356 1259 1595  752 1565  394
## [1028] 1386  641  636  547 1675  887  938  224  167  685  760 1647 1396
## [1041] 1256  195 1623  361   42  390  919 1246 1239 1524 1143 1487   97
## [1054] 1365  118  117 1507  124  300  775 1167 1285  140  516 1195  913
## [1067] 1536  397 1689  159  308  103  114  928  530  474  145 1202 1184
## [1080] 1454  738  877 1566  609   53  974  687 1206 1371  570   96 1265
## [1093] 1683  391  412  507 1154 1082 1570  831 1601  374 1641 1644  831
## [1106] 1466 1318  638  806 1196 1628 1136  906  804  306  758  551 1363
## [1119]  292 1097   74    3  420  812  575  755 1143 1011 1565  210  651
## [1132] 1314  887 1207 1343 1487  200 1653  219 1426  257 1163  604 1191
## [1145] 1602   89  746  429  714  110 1477 1594  392  135 1191 1560  625
## [1158]  499 1398  581  959  277 1639  866  756  162 1622 1549  405  894
## [1171]  283  236 1007  408  538 1109  905  485  344  424 1138 1364  496
## [1184]   23 1687 1144  807  261 1572 1728   38  671  667 1709  321  299
## [1197]  641  884 1473  472  501  457 1327 1001  300  181 1725 1210  764
## [1210]  919  994  640   58  112  245   21  239 1454   98  863 1641  753
## [1223] 1128   46  102 1026  384 1355 1707 1310   73 1261  587  556 1084
## [1236]  319  130 1596 1077  131  796 1529  620  945 1337  205   35  617
## [1249] 1645 1044  732  876 1256 1678  531 1144  683  672  304  448 1374
## [1262]   31   77  344 1348  443 1390  115  810 1716  529  890  542  621
## [1275] 1131 1269  380  380  251 1454  161  113  562   70 1248 1267 1569
## [1288] 1473 1325  928  750 1369  921  627  463  947  337 1667  203  526
## [1301]  200 1664 1635 1538 1506  759  879 1120 1720   49  952 1073 1079
## [1314]  778 1627  684 1594 1178 1470 1354  722  834   95  160 1319  970
## [1327] 1241   58  285 1343  429 1300  644  352   94 1674 1158  789  447
## [1340] 1637 1061 1460  659 1060 1410 1223  236 1505 1327 1488 1716  805
## [1353] 1227   45  879 1561 1556 1594  622  130 1086  247 1486  394  502
## [1366]  670  650  366 1620  229  761 1653 1642 1666 1393  795 1301  900
## [1379] 1599 1341  968  512  465  534  153  621 1461  929  333 1568 1275
## [1392]  371  748 1234  806 1096  966 1563  751 1487  372  721   25  125
## [1405] 1348  764 1452  621 1533 1220   63 1200 1048 1710  219 1048  447
## [1418]  650  584 1328 1300 1485   39  739 1386 1119 1567  468  946  731
## [1431]   26  978 1078 1371  421  879  336 1492 1068 1626 1084 1588  318
## [1444] 1148 1184  385  894 1481 1072 1126 1635   61 1605 1198 1497 1363
## [1457]  330 1248   56  804 1620  992 1560  912 1342  696   52   58  749
## [1470]  322  621 1095  519  985  933 1602  390  327  353 1505 1297  923
## [1483]  294  422 1520 1425 1172 1719 1221  876  794  186 1137  162  339
## [1496]  638  918  725 1259  681  125 1726 1162 1604 1134  457 1196 1196
## [1509]  511  715 1728   52  630  783  777 1199  413  128  545 1023 1640
## [1522]  961 1724  289 1211  950   53  640  638  694 1494  435 1411 1207
## [1535] 1162  670  317  209  286  866  625  331  744  377  668  840  257
## [1548]  959 1466 1563  211  303  605  199 1399 1615 1359 1640    6 1619
## [1561] 1348  836  392 1435 1404  602 1392  400  753  978  303  825  740
## [1574]  978 1609 1514  264  881  700 1569  807 1429  974 1096  119  247
## [1587]  218  745  525  270  763 1614 1021 1185  639 1512  207  497   96
## [1600] 1426  226  495 1007 1650  550 1453 1218 1538  931  727  471  246
## [1613]  150  246 1367   32  124  309  518  513 1501 1711  254  731 1668
## [1626]  260 1456 1697  806 1091  689 1487 1426   28 1627  861 1056 1519
## [1639]  362  108  143 1151  511  218  181  189  285 1668 1023 1167  120
## [1652] 1296  697  279  368 1456  537 1196 1075  281 1365  736  243  318
## [1665]  788  576 1533  573  264  963   45  252  754 1258  119  114 1298
## [1678] 1123   36 1630  989 1105  704 1519 1233  895 1214 1078  229 1591
## [1691]   34   21   56  543  380  523 1318  538 1392  746 1072  175 1710
## [1704] 1100  930 1278  115 1016 1032  105  223  517  633  838 1446  420
## [1717]  201 1513 1618 1493 1726  948 1031   94  472 1411  378  926
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 507 unacc (0.20601852 0.04976852 0.70659722 0.03761574)  
##      2) safety=high,med 1138 507 unacc (0.31282953 0.07557118 0.55448155 0.05711775)  
##        4) persons=4,more 758 402 acc (0.46965699 0.11345646 0.33113456 0.08575198)  
##          8) buying=low,med 370 191 acc (0.48378378 0.23243243 0.10810811 0.17567568)  
##           16) maint=high,vhigh 175  45 acc (0.74285714 0.00000000 0.17142857 0.08571429)  
##             32) lug_boot=big,med 118  21 acc (0.82203390 0.00000000 0.05084746 0.12711864)  
##               64) buying=med 61   3 acc (0.95081967 0.00000000 0.04918033 0.00000000)  
##                128) safety=high 34   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) safety=med 27   3 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                  258) lug_boot=big 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    518) doors=5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) doors=2,3 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 57  18 acc (0.68421053 0.00000000 0.05263158 0.26315789)  
##                130) maint=vhigh 28   3 acc (0.89285714 0.00000000 0.10714286 0.00000000)  
##                  260) doors=3,4,5more 24   1 acc (0.95833333 0.00000000 0.04166667 0.00000000)  
##                    520) doors=4,5more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    521) doors=3 8   1 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                     1042) lug_boot=big 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1043) lug_boot=med 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2086) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2087) safety=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  261) doors=2 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                    522) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) maint=high 29  14 vgood (0.48275862 0.00000000 0.00000000 0.51724138)  
##                  262) safety=med 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) safety=high 18   3 vgood (0.16666667 0.00000000 0.00000000 0.83333333)  
##                    526) doors=2,3 6   3 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                     1052) lug_boot=med 4   1 acc (0.75000000 0.00000000 0.00000000 0.25000000)  
##                       2104) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2105) doors=3 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                         4210) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4211) persons=more 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1053) lug_boot=big 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=4,5more 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 57  24 acc (0.57894737 0.00000000 0.42105263 0.00000000)  
##               66) safety=high 31   3 acc (0.90322581 0.00000000 0.09677419 0.00000000)  
##                132) doors=3,4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  266) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 26   5 unacc (0.19230769 0.00000000 0.80769231 0.00000000)  
##                134) maint=high 10   5 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  268) buying=low 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) buying=med 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 16   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 195 109 good (0.25128205 0.44102564 0.05128205 0.25641026)  
##             34) safety=med 95  46 good (0.44210526 0.51578947 0.04210526 0.00000000)  
##               68) lug_boot=small 26   4 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                136) doors=3,4,5more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                  274) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 69  20 good (0.28985507 0.71014493 0.00000000 0.00000000)  
##                138) buying=med 38  19 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                  276) maint=med 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 22   3 good (0.13636364 0.86363636 0.00000000 0.00000000)  
##                    554) doors=2 7   3 good (0.42857143 0.57142857 0.00000000 0.00000000)  
##                     1108) lug_boot=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) lug_boot=big 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) doors=3,4,5more 15   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 31   1 good (0.03225806 0.96774194 0.00000000 0.00000000)  
##                  278) doors=2 7   1 good (0.14285714 0.85714286 0.00000000 0.00000000)  
##                    556) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 24   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 100  50 vgood (0.07000000 0.37000000 0.06000000 0.50000000)  
##               70) lug_boot=small 37  10 good (0.10810811 0.72972973 0.16216216 0.00000000)  
##                140) doors=3,4,5more 24   4 good (0.16666667 0.83333333 0.00000000 0.00000000)  
##                  280) buying=med 10   4 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                    560) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 14   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 13   6 good (0.00000000 0.53846154 0.46153846 0.00000000)  
##                  282) persons=4 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 63  13 vgood (0.04761905 0.15873016 0.00000000 0.79365079)  
##                142) doors=2 17   8 good (0.11764706 0.52941176 0.00000000 0.35294118)  
##                  284) lug_boot=med 11   2 good (0.18181818 0.81818182 0.00000000 0.00000000)  
##                    568) buying=med 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1136) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 46   2 vgood (0.02173913 0.02173913 0.00000000 0.95652174)  
##                  286) doors=3 18   2 vgood (0.05555556 0.05555556 0.00000000 0.88888889)  
##                    572) persons=4 6   2 vgood (0.16666667 0.16666667 0.00000000 0.66666667)  
##                     1144) lug_boot=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2288) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2289) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1145) lug_boot=big 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    573) persons=more 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  287) doors=4,5more 28   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 388 177 unacc (0.45618557 0.00000000 0.54381443 0.00000000)  
##           18) maint=low,med 193  49 acc (0.74611399 0.00000000 0.25388601 0.00000000)  
##             36) safety=high 98   3 acc (0.96938776 0.00000000 0.03061224 0.00000000)  
##               72) doors=3,4,5more 81   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) doors=2 17   3 acc (0.82352941 0.00000000 0.17647059 0.00000000)  
##                146) lug_boot=big,med 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) lug_boot=small 7   3 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                  294) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 95  46 acc (0.51578947 0.00000000 0.48421053 0.00000000)  
##               74) lug_boot=big,med 64  15 acc (0.76562500 0.00000000 0.23437500 0.00000000)  
##                148) doors=3,4,5more 48   5 acc (0.89583333 0.00000000 0.10416667 0.00000000)  
##                  296) doors=4,5more 30   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=3 18   5 acc (0.72222222 0.00000000 0.27777778 0.00000000)  
##                    594) persons=more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=4 9   4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##                     1190) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1191) lug_boot=med 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2 16   6 unacc (0.37500000 0.00000000 0.62500000 0.00000000)  
##                  298) lug_boot=big 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) lug_boot=med 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 31   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 195  33 unacc (0.16923077 0.00000000 0.83076923 0.00000000)  
##             38) buying=high 95  33 unacc (0.34736842 0.00000000 0.65263158 0.00000000)  
##               76) maint=high 49  16 acc (0.67346939 0.00000000 0.32653061 0.00000000)  
##                152) safety=high 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                153) safety=med 29  13 unacc (0.44827586 0.00000000 0.55172414 0.00000000)  
##                  306) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  307) lug_boot=med,small 19   3 unacc (0.15789474 0.00000000 0.84210526 0.00000000)  
##                    614) doors=4,5more 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1228) lug_boot=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1229) lug_boot=small 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    615) doors=2,3 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 46   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 100   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 380   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 590   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[2]]
## $bindx
##    [1]  146  541 1242  923 1525  365 1417  379  510  867 1492  467 1568
##   [14]  198    8 1271 1555  226 1173   29  891   71  215 1364  797 1723
##   [27]  556 1582  357 1475 1118  870 1345  275 1713 1106 1690 1624  671
##   [40] 1103 1412  524 1378  630  310 1137  842  570  689 1003  358  629
##   [53] 1208  190   86 1460 1064  404 1118 1271 1716 1627  631  716  457
##   [66]  216   88  488  341 1204 1512  304  404  267 1479 1168 1083 1141
##   [79] 1078  581 1530  103 1435 1145 1379  151   16  791 1077 1663  500
##   [92] 1252  174 1291  191 1023  564 1494  586 1624   57  559 1633  306
##  [105] 1000  424  856  522  400  538 1239 1686  135 1327 1116  785  480
##  [118]  403  952  304 1255  702 1501 1491  900  898  968  802  669 1652
##  [131]  474  724  441  224 1396  943 1287 1594   79 1013  156  497 1551
##  [144] 1623  658 1663 1270   62  547   90 1711 1713 1682 1174 1108  382
##  [157]  646 1295  147 1173   54 1526 1521 1180  390 1704  964 1647 1258
##  [170]  735 1684  422 1489 1537  201  877 1419  930  280 1421  805  606
##  [183]  141 1394 1321 1412 1063  894  198  368 1295  298 1149 1593  282
##  [196]  325 1287 1581  381  591   21 1057 1215 1674  703 1046  437 1209
##  [209] 1597 1449  289  360  786 1410 1434  689 1514 1172  945  788 1061
##  [222] 1304 1438  637  611 1128 1423 1103  199 1511  628 1723  185  610
##  [235] 1433  706 1503 1630 1156   20   27  165  708 1632 1273  891 1271
##  [248]   29 1690 1571 1207  234 1622  282 1274  489  797  825  613 1097
##  [261]  315 1162  810 1277  201 1047  780 1007 1159 1223 1700  423  774
##  [274]  746 1558 1216  974 1414 1653 1570 1112  814  457 1520   56  859
##  [287] 1405 1370  335  795 1338 1662 1645 1355 1058  137  393  211  652
##  [300]  837 1098  299 1312 1323 1569  650 1557  807  451  452   72  113
##  [313] 1586   67 1374  343 1498  570 1514  214  191 1136  252 1071  865
##  [326]  444  566  176  451  166 1390 1294  136  378  984  234  516 1661
##  [339]  739  196  358 1242 1574  620 1367 1351 1720 1572  922 1452  826
##  [352]  345 1094  873  785   25  879  931  906  504  308  863  738 1036
##  [365]  758 1358 1193  562 1599  112   50 1324 1408  422 1400 1511  652
##  [378]  308  517 1215 1291  314  568 1284  702 1487  416  467 1368 1524
##  [391]  573  496  598  140 1073 1684  582  824 1376  896  608  567  514
##  [404]  492  482  227  995 1226  957  364  507  610  867 1070  615  625
##  [417]  429 1566  961  543 1267 1405 1611 1609  594  722 1030  599  230
##  [430]  367  189   38 1155  364 1036   63 1065  889 1327  981  158  221
##  [443]  330  382 1566  469  963 1172  980  912  742  419  268  817  699
##  [456] 1308  505  295  699  723  711 1579 1172 1169 1114  248 1004  182
##  [469]  911  921  395  809 1656  610 1555 1298 1572  521 1449  673  609
##  [482]  253  123  488  946  895 1561 1296 1267  311 1364 1638 1603 1155
##  [495]  489   96 1018  543 1724 1575 1152  637 1656 1508   70 1404 1257
##  [508]  495  365 1289  624 1717 1699  180  566 1572 1666  649   82  564
##  [521]  639 1234 1457  223  775  335 1494   46  636  112 1708  356 1011
##  [534]   52 1289  310 1093 1431 1060 1098  778 1363 1409  632 1724  118
##  [547] 1428 1448  519  139  464  550  700  338  385 1405  867  164 1690
##  [560]  496   60 1053  629 1091  463 1185 1368  165  476  101 1702 1683
##  [573]  579  508 1003 1320  126 1386  694  620  306  503  216 1040  552
##  [586]  750 1102  794 1665  262 1314 1502 1372 1321  414  450  616  478
##  [599]  652   25  753 1196  705   53  957  618  928 1113  186 1656  908
##  [612] 1022  539  642  333  116 1368 1530 1241  133 1302 1419 1314 1004
##  [625]   94  239 1598 1098  715  328  990  876  274  356 1453 1271 1025
##  [638]  353 1703  700  871  369   59 1265  299 1266  596 1565  464 1507
##  [651]  243 1410  215 1391 1596  217  686  912  651 1020  737  623  431
##  [664] 1670  526 1121  625   90  172  130  587 1168  656 1097  161   11
##  [677]  473  446  514  222  415 1156  120  746  556 1270 1636 1434  205
##  [690] 1296  830  894  599 1188  339 1430 1613 1360  700  681  823  623
##  [703] 1263  537  624 1447 1486  318 1262 1173  503  365 1670 1171  787
##  [716]  696 1230   54  809   14  771  333   53 1648  103 1140  852  547
##  [729]  567  169  123 1539 1034 1139  554  821 1122 1533  269  626  459
##  [742]  200   91  499  740  712 1352 1081 1297 1143  910  787 1675 1086
##  [755] 1019 1697 1016  603 1238   84  722  620   29 1252 1709  682  725
##  [768] 1460 1709 1054 1467  260  445  770  863 1660 1456  271 1089 1364
##  [781]  166 1205 1227 1261 1169  392  395  580  959 1291  734  812  844
##  [794] 1148 1639  976  250 1648  586  650 1668 1082 1404   44 1001 1282
##  [807]  194 1553 1002 1545 1342  507  237 1183  300 1142 1476  126  874
##  [820] 1074  547 1525  878  589 1347 1441 1614  314  404  573 1614 1398
##  [833]  823 1106 1346  905  146 1612 1073  310  405 1275 1091 1510 1100
##  [846] 1259  720 1546  928  871 1570 1046 1578 1615  451 1180 1102 1555
##  [859]  926   90   79  731 1588 1639  804  395  835  267  731  529 1139
##  [872] 1248 1045  324  198 1389  283  849  591  550 1062   68  719  451
##  [885]  442  112   27  365  162 1364  974  777 1237 1457  791  870  563
##  [898]  651  104 1147 1060 1437  744  425 1096   75  544 1179 1272 1391
##  [911] 1076 1011 1519  561 1140  741 1726  489 1411  752  745 1520 1379
##  [924] 1511  589 1077 1057 1487  562  647  711  964  760 1157 1524  187
##  [937]  778  515 1178  565  388 1159 1677 1304 1493  895  728 1022  142
##  [950]   65  340 1111   28  147 1342  612   54 1343  232 1063 1248 1056
##  [963] 1097  765 1276  228  665  439  907  983  145   76 1347  299 1451
##  [976]  717 1231 1156 1157  916 1555  762  787 1654 1058  411 1541  770
##  [989]  484 1176 1528 1572 1497  521 1189  789   96  841  645 1624  761
## [1002]  778 1347 1141  453 1425  636 1376  697  848 1080 1414 1305  530
## [1015] 1517 1480  323 1272  918  807 1318  547 1134  472  812  990 1688
## [1028] 1042 1657  447 1081 1127  789 1094  536 1588  594 1714  947 1228
## [1041]  755  977 1339  845  239  966  277 1659   27 1133 1578 1010  405
## [1054] 1419 1119  810 1625  481 1233 1307 1654 1140 1395 1712 1094 1662
## [1067]  242  455   78 1164 1456 1396 1169  622  431  797  627 1231  521
## [1080] 1579 1003  955 1160  620  181  122 1192  447  861 1295 1488 1702
## [1093] 1259 1193  708 1137 1403   42 1386 1375  827  997  479 1445 1311
## [1106] 1359 1551 1145 1343  713  108 1508   88   12 1322 1045 1103  841
## [1119]  227 1022 1679  571 1335 1568  536    2  369  428  701   50 1441
## [1132] 1613  339  534  937 1250  878  728  348  197  283 1055 1017  338
## [1145]  577 1099 1274 1044  501 1602 1189  669  727 1044  613 1659 1363
## [1158] 1699  795 1596 1347  806  825 1354   74 1656  416  216 1559 1708
## [1171] 1667 1146  210 1059  216  937   61 1682  307 1488 1195 1701   87
## [1184]  301  734  512 1213 1687 1216 1373 1244  927 1095  526 1234 1707
## [1197]  602  758  184  320 1369 1079  340 1437 1459 1714  612  592   71
## [1210] 1287  783   96  573  440  575 1020 1226  880 1142  518  852  314
## [1223] 1590 1025 1613  766  430 1153  400  950  304 1448  655  257  128
## [1236]  878   46  655   72  855 1147  347  669  626  444  872 1437  576
## [1249]  169 1122 1549  569 1481  499  184 1209  847  523  607  163 1435
## [1262]  947  968  667 1590  629   90  989  830  949    5 1296 1036  183
## [1275]  873  187 1710   64 1242 1264  997 1205  636  630  874 1336 1508
## [1288]  321 1377  781  708 1126 1203 1497 1356 1707 1268 1069 1030  407
## [1301]   14 1428  355 1594   23  115 1214  695  550  591  880 1151 1006
## [1314]  117  733  845  631  423 1147 1248 1194 1093  486  221  626 1421
## [1327]  226  840  457 1144  975  867  323  631   14 1086 1268 1495  413
## [1340] 1470 1710 1661 1378 1517 1126    3  116  188 1421 1343  699  274
## [1353]  313  257  889 1263  186  981  356  617 1149  430  346  849 1378
## [1366]  701 1084 1377 1069  795  192  113  499  238 1105 1432  135 1112
## [1379] 1572   55  785  730  309 1375 1153 1395 1346  147 1534 1022  364
## [1392]  421  871  523  122    1  323 1021 1008  660 1525 1326  496 1189
## [1405]  434  403  860 1691 1473   57  198 1076   91  698   48  729  807
## [1418] 1495 1106  570 1483 1246 1327  723  635  224 1352 1245 1255 1037
## [1431] 1006   72   74 1189  845  222 1073 1716 1072 1394  523  385  882
## [1444]  862  552  471 1327 1154 1212 1306   40  951 1646 1173 1506  230
## [1457] 1190 1224 1272  526 1016 1033 1355  281 1088 1662  989   33 1222
## [1470] 1059 1567 1060   21  778  199 1466 1582  719 1700 1619  201 1448
## [1483]  288 1708 1697  327 1238  341 1669  484  293 1224  906  820  767
## [1496] 1661  225  144 1181  928  805 1549 1455  407 1275  380  639  780
## [1509]  700 1053 1090  891 1334 1465  504   51 1385   19  353  193 1296
## [1522]  694 1187  522  240  767  555  830  286  172  834  314 1347  589
## [1535] 1563  849  946 1065 1347 1510 1163  191  553 1088  673  645 1091
## [1548]  252 1669  622 1632 1458  587 1340  218  817 1248    5 1144  364
## [1561]  344 1047 1692 1681 1101  753 1589  823 1265 1313  164 1502  648
## [1574] 1050 1603 1017  668 1585 1450  356  399 1281 1198  553  187 1586
## [1587]  966  808  483  592  935    1   36  732 1245 1238 1462  792  319
## [1600] 1619  170 1354  367 1226 1547 1005  590  902  180 1288 1025  441
## [1613]  698   63  646   54  594  173  474 1431  312 1085 1050   79  643
## [1626] 1161  696  278  424 1561   65   46  164 1410  833  363  605  522
## [1639]  728  188  630  750 1679  498  824 1265 1088  551  994 1237  623
## [1652]  811 1293  540 1672 1720  592 1658  735  811  472  929  587  976
## [1665]  641  935  624   42  112 1253   42 1347  395  638  161 1206  842
## [1678] 1668 1364  773 1266  933  269 1710 1677  902  109 1421 1142  657
## [1691] 1565 1470 1466 1535 1266  720  230 1705 1686 1195  306  590 1701
## [1704] 1380  875 1374  636 1308 1028  909  667 1227 1677 1720 1064 1522
## [1717]  470  427 1523 1553 1530  118 1358    2   95  129 1245 1313
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 527 unacc (0.23148148 0.03587963 0.69502315 0.03761574)  
##      2) persons=4,more 1139 527 unacc (0.35118525 0.05443371 0.53731343 0.05706760)  
##        4) safety=high,med 759 359 acc (0.52700922 0.08168643 0.30566535 0.08563900)  
##          8) buying=low,med 383 162 acc (0.57702350 0.16187990 0.09138381 0.16971279)  
##           16) maint=high,med,vhigh 288  80 acc (0.72222222 0.04513889 0.11111111 0.12152778)  
##             32) maint=high,vhigh 190  39 acc (0.79473684 0.00000000 0.15263158 0.05263158)  
##               64) lug_boot=big,med 136  16 acc (0.88235294 0.00000000 0.04411765 0.07352941)  
##                128) maint=vhigh 67   4 acc (0.94029851 0.00000000 0.05970149 0.00000000)  
##                  256) buying=low 45   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) buying=med 22   4 acc (0.81818182 0.00000000 0.18181818 0.00000000)  
##                    514) safety=high 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) safety=med 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                     1030) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) doors=2,3 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                       2062) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2063) lug_boot=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) maint=high 69  12 acc (0.82608696 0.00000000 0.02898551 0.14492754)  
##                  258) safety=med 39   2 acc (0.94871795 0.00000000 0.05128205 0.00000000)  
##                    516) lug_boot=big 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    517) lug_boot=med 14   2 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                     1034) doors=3,4,5more 13   1 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                       2068) persons=more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2069) persons=4 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                         4138) buying=low 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4139) buying=med 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                           8278) doors=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                           8279) doors=3 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1035) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  259) safety=high 30  10 acc (0.66666667 0.00000000 0.00000000 0.33333333)  
##                    518) buying=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) buying=low 15   5 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1038) doors=2 7   2 acc (0.71428571 0.00000000 0.00000000 0.28571429)  
##                       2076) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2077) lug_boot=big 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1039) doors=3,4,5more 8   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               65) lug_boot=small 54  23 acc (0.57407407 0.00000000 0.42592593 0.00000000)  
##                130) safety=high 31   1 acc (0.96774194 0.00000000 0.03225806 0.00000000)  
##                  260) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    522) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) safety=med 23   1 unacc (0.04347826 0.00000000 0.95652174 0.00000000)  
##                  262) buying=low 7   1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)  
##                    524) maint=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) maint=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) buying=med 16   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) maint=med 98  41 acc (0.58163265 0.13265306 0.03061224 0.25510204)  
##               66) safety=med 51   6 acc (0.88235294 0.09803922 0.01960784 0.00000000)  
##                132) buying=med 35   1 acc (0.97142857 0.00000000 0.02857143 0.00000000)  
##                  264) lug_boot=big,med 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  265) lug_boot=small 14   1 acc (0.92857143 0.00000000 0.07142857 0.00000000)  
##                    530) persons=4 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    531) persons=more 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                     1062) doors=3,4,5more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1063) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                133) buying=low 16   5 acc (0.68750000 0.31250000 0.00000000 0.00000000)  
##                  266) lug_boot=med,small 12   1 acc (0.91666667 0.08333333 0.00000000 0.00000000)  
##                    532) doors=2,3,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    533) doors=4 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1066) lug_boot=small 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1067) lug_boot=med 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  267) lug_boot=big 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               67) safety=high 47  22 vgood (0.25531915 0.17021277 0.04255319 0.53191489)  
##                134) lug_boot=small 19  10 acc (0.47368421 0.42105263 0.10526316 0.00000000)  
##                  268) buying=med 10   1 acc (0.90000000 0.00000000 0.10000000 0.00000000)  
##                    536) doors=3,4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) buying=low 9   1 good (0.00000000 0.88888889 0.11111111 0.00000000)  
##                    538) persons=4 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    539) persons=more 3   1 good (0.00000000 0.66666667 0.33333333 0.00000000)  
##                     1078) doors=5more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1079) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) lug_boot=big,med 28   3 vgood (0.10714286 0.00000000 0.00000000 0.89285714)  
##                  270) lug_boot=med 11   3 vgood (0.27272727 0.00000000 0.00000000 0.72727273)  
##                    540) doors=2,3 4   1 acc (0.75000000 0.00000000 0.00000000 0.25000000)  
##                     1080) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1081) buying=low 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    541) doors=4,5more 7   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  271) lug_boot=big 17   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##           17) maint=low 95  46 good (0.13684211 0.51578947 0.03157895 0.31578947)  
##             34) safety=med 42  14 good (0.30952381 0.66666667 0.02380952 0.00000000)  
##               68) lug_boot=small 11   1 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                136) doors=3,4,5more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 31   3 good (0.09677419 0.90322581 0.00000000 0.00000000)  
##                138) doors=3 9   3 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                  276) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) persons=more 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) doors=2,4,5more 22   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 53  23 vgood (0.00000000 0.39622642 0.03773585 0.56603774)  
##               70) lug_boot=small 17   2 good (0.00000000 0.88235294 0.11764706 0.00000000)  
##                140) doors=3,4,5more 13   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 4   2 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                  282) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 36   6 vgood (0.00000000 0.16666667 0.00000000 0.83333333)  
##                142) lug_boot=med 15   6 vgood (0.00000000 0.40000000 0.00000000 0.60000000)  
##                  284) doors=2,3 7   1 good (0.00000000 0.85714286 0.00000000 0.14285714)  
##                    568) persons=4 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 2   1 good (0.00000000 0.50000000 0.00000000 0.50000000)  
##                     1138) doors=2 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) doors=4,5more 8   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) lug_boot=big 21   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 376 179 unacc (0.47606383 0.00000000 0.52393617 0.00000000)  
##           18) maint=high,low,med 289 110 acc (0.61937716 0.00000000 0.38062284 0.00000000)  
##             36) lug_boot=big,med 202  52 acc (0.74257426 0.00000000 0.25742574 0.00000000)  
##               72) buying=high 107  11 acc (0.89719626 0.00000000 0.10280374 0.00000000)  
##                144) doors=4,5more 56   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=2,3 51  11 acc (0.78431373 0.00000000 0.21568627 0.00000000)  
##                  290) persons=more 36   2 acc (0.94444444 0.00000000 0.05555556 0.00000000)  
##                    580) doors=3 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    581) doors=2 11   2 acc (0.81818182 0.00000000 0.18181818 0.00000000)  
##                     1162) maint=high,low 10   1 acc (0.90000000 0.00000000 0.10000000 0.00000000)  
##                       2324) safety=high 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2325) safety=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                         4650) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4651) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1163) maint=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  291) persons=4 15   6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                    582) safety=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) safety=med 11   2 unacc (0.18181818 0.00000000 0.81818182 0.00000000)  
##                     1166) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1167) lug_boot=med 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) buying=vhigh 95  41 acc (0.56842105 0.00000000 0.43157895 0.00000000)  
##                146) maint=low,med 68  14 acc (0.79411765 0.00000000 0.20588235 0.00000000)  
##                  292) lug_boot=big 38   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) lug_boot=med 30  14 acc (0.53333333 0.00000000 0.46666667 0.00000000)  
##                    586) safety=high 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) safety=med 20   6 unacc (0.30000000 0.00000000 0.70000000 0.00000000)  
##                     1174) doors=4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) doors=2,3 14   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) maint=high 27   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 87  29 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##               74) safety=high 48  19 acc (0.60416667 0.00000000 0.39583333 0.00000000)  
##                148) maint=low,med 29   6 acc (0.79310345 0.00000000 0.20689655 0.00000000)  
##                  296) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2 8   2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                    594) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) maint=high 19   6 unacc (0.31578947 0.00000000 0.68421053 0.00000000)  
##                  298) buying=high 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    596) doors=3,4,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1194) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) buying=vhigh 12   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 39   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 87   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 380   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 589   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[3]]
## $bindx
##    [1]  649  339 1349  770  933  517 1349 1493 1344  547  136  670  335
##   [14]  567 1251 1242  457 1396  604 1618 1264  760  673  877 1112  436
##   [27]  931  931 1261 1567 1575  680  961  504  866  246  416   68 1000
##   [40]  615  894 1225  501  594  964  490  878  377  187  804  165 1071
##   [53]  692  890  513 1232  492 1150  599  327 1372  144 1460 1519 1284
##   [66] 1249  234  133 1197  912  424 1135 1529 1581  167  196 1599 1440
##   [79]   36 1023 1047 1117  629 1333 1053  982  900  942 1243  468  978
##   [92]  421  739 1661   87  473 1124  694  787  498  324  764 1234 1601
##  [105] 1617 1529  945 1687  934  226 1604 1347  489  308  613  227    9
##  [118]  370  300  359 1425 1476  274  995   17  857 1359  208  997  806
##  [131] 1071 1546 1037 1170  450  834 1387 1201  416 1710  502 1722 1342
##  [144] 1400 1338  275 1298 1078  899 1258  343  876 1036  520 1356    1
##  [157]  827 1148 1388  267  772  409 1656 1595 1091 1326 1648  941  592
##  [170] 1661 1038  796  745  888 1662 1164  649  486  434  205 1124 1032
##  [183]  392  500 1087  464  834 1387 1109  285  832  112   97 1061  569
##  [196] 1331  689 1034 1569  797 1573  338  894  719  165  293  441  699
##  [209]  684 1454 1340   32 1183 1045  185  593  649 1082  717  469 1682
##  [222] 1356   68 1430  517  113  829  763 1680  748  363   95  830  286
##  [235]   15   86  307 1141  921 1660  966 1365 1076 1408  157 1444  688
##  [248]  208  906 1130  914 1477 1050 1483 1434  408 1448 1609  820 1624
##  [261] 1055 1355  233  297 1705  399 1352 1335 1454  550  324  295  374
##  [274]  797  130 1639 1574  832  651  547 1493 1015  852 1393  132 1436
##  [287]  721  677  955 1551 1087   13  740  464 1365 1010 1002  547 1347
##  [300]    1  186 1500 1042 1621  918 1270  546   31  256  836  381  328
##  [313]  349  972  587 1073   36 1096 1170 1321 1383  112 1167 1707 1179
##  [326] 1055  603 1089  625  695 1221 1153 1449 1633 1068  602  335 1149
##  [339] 1590  214  722  247 1268  592  985 1487  978  701  214  952 1135
##  [352] 1039  414  754  710 1054 1052  641  640  569 1005   50  291 1202
##  [365] 1395  816 1268  210 1022 1252 1312 1635  947  268   66  148 1232
##  [378]  164 1538  641 1277  108 1174  955 1043  544  757 1012 1389   41
##  [391]  663  663 1649 1667 1527 1445  351 1337 1001  894  906   11  897
##  [404]   47  499  923  688 1657  265  887 1344  712  603  828   89 1440
##  [417]  191  571 1637   48  636 1106 1370 1616  422 1038  984 1163  216
##  [430] 1208 1171  691   30  899  903 1192 1040  453  922  781 1031  979
##  [443]  380   85  178  697   61  913 1252 1046 1168  174  617 1141 1218
##  [456]   67  493  166  100 1593  396  976  853 1607  180 1584  740 1484
##  [469]  741  300  160  296 1044  311 1271  345 1460 1028  421  789 1141
##  [482]   70  116 1645 1121  328  441 1387  104  469  493  848  613  106
##  [495]  235 1670  743 1610  716  790  813 1223 1116  881  331 1683  940
##  [508] 1684 1681 1102  550  631  547  583  382 1194 1714 1594 1206 1036
##  [521]  130  967 1231  942 1228 1321 1164 1137 1474  246 1119  128 1175
##  [534]  978 1725 1022 1276  469 1384 1380  295  905  320  745 1053  569
##  [547] 1150  668 1566 1232  519  279 1589 1229 1190 1178  842 1598 1446
##  [560]   41  281  113 1267  453  596   10  593 1312 1658  673  434  223
##  [573] 1552  815  627  757 1636 1409  514  502 1069 1023  332 1456 1289
##  [586] 1670  655  332  599 1217 1663  559  127   69 1626  959  217 1340
##  [599]  221 1062 1145  567  434 1143 1510  793 1084 1020 1649  634  706
##  [612] 1632  382  809  590   18 1347   37 1033  410  429 1157  431 1478
##  [625]  292 1670  352  131  853  852 1676  963 1434 1708 1161  877  562
##  [638]   13 1276 1262  637  987   70  283 1627  482  636 1727  406 1726
##  [651]  393  791  500  498  783  408 1268 1260 1215  480  284 1365  640
##  [664]  584  971  620  742 1516   83  659   83  374 1280  117 1145 1061
##  [677] 1002  656 1224 1504 1267  583 1264 1708 1448  584 1222 1252 1716
##  [690] 1186 1662 1566 1525 1519 1665  217  885 1333 1093  450 1241 1600
##  [703] 1326  747  989 1586  321 1223  856 1156 1624  870  681 1005 1617
##  [716] 1139 1076 1107   74 1629 1029  367 1674 1723  349  209 1395 1022
##  [729]  967  645   35 1199  975   44  819 1339 1714 1658  266  403  412
##  [742]  990 1277  551 1500  741  605  813 1120  271  316 1622  143  316
##  [755]  596  294 1578  812 1170 1572 1580  370  309 1368  443 1264   88
##  [768]  833  288    4 1623  918  506  599  262 1230   49 1227    8 1006
##  [781]  936 1198 1140 1525  839 1569  187 1725  443 1325 1626 1175 1507
##  [794] 1520  738  659 1650 1254  395  984 1537 1348 1647 1298 1271  893
##  [807]  647  293 1710   20  336 1116  136  390  332  367  932 1417   13
##  [820] 1185  916 1630 1124  365  176 1115 1481  680  822 1355   19   69
##  [833] 1070 1380 1691  693 1332 1204  674  510  577  975 1596 1206 1070
##  [846]  775 1210  468 1202  750  195  646 1107 1051  765  117  446  569
##  [859]   37   51 1020 1429  915 1699  175  491  122  660  227 1243  295
##  [872] 1481 1286 1682 1620 1614  910 1530  176  501 1727  263 1599 1277
##  [885]  882  729   89 1439  542 1327  584 1689 1662  228  405  496   85
##  [898]  711 1068 1095  111  674 1579  726  482  792  593 1389 1159  184
##  [911]  690 1238  428  343 1693  180 1043 1681  963  939 1659  492  277
##  [924] 1023  275 1173  791  494  627 1359 1657  171   77  941   85 1449
##  [937] 1130  257  795  297  236 1480 1573  197 1077 1126 1697 1265    8
##  [950] 1373 1717  400 1640  927  772  197 1502 1252   52   65 1602 1425
##  [963]  439  968  302 1140  112  347  660  871  666 1489 1176 1298 1300
##  [976]   82  325  556 1022  452 1305  761 1141  261  741  895 1700  783
##  [989] 1692  368  912  870  825 1614 1372  967   35 1107 1218  761  517
## [1002]  427  745  640  957  343  890  794  529  730  230 1626  791   91
## [1015]  566  249  202  992  706 1533  283 1046  626 1530  961 1010  654
## [1028]  569  399 1628 1499 1608 1721  357 1333 1688  844 1517 1004  591
## [1041]  534  681   80  277 1008 1325  151 1187 1178 1513 1136 1687  868
## [1054] 1033  612 1324 1255  538 1629  280 1371 1204  622 1028  325  422
## [1067] 1659 1438  843 1137 1157 1125  920 1716 1242  772 1174  972 1696
## [1080]  208 1095  352 1671 1605  409 1448 1188  526  454 1028  564 1632
## [1093]  323 1293 1316 1335  315  688 1302  233 1110 1443  492  158  236
## [1106]  154  128 1342  879 1436 1056 1341  737  392 1649 1396 1085  372
## [1119] 1517    5 1186 1238 1552   30 1287  525   75 1251  517 1525  809
## [1132]  366  723 1078  710 1424  652  273  795  828  155 1377 1047  975
## [1145]  230 1517 1150  821   81 1680  343 1725 1090 1484 1020  856  916
## [1158]  385  898  570  570  349 1037  601 1609   74 1315 1690 1334  998
## [1171]   22  377  663  442 1632 1327  206  624  509  760  979  619  532
## [1184]  804 1204 1404 1160  314  390  676 1661   21 1007  496 1307 1720
## [1197] 1406  815 1207  792  441  407 1645 1682  623  265   73 1605  298
## [1210] 1514 1534 1685  821  567 1712 1681  833 1523  689  943 1525 1439
## [1223] 1229  165 1256 1213  722 1595   63  641  982 1355  833 1074 1121
## [1236]  876 1483 1387  151 1172   79 1104 1169  283 1579 1016 1385  476
## [1249] 1069  755 1367  476  746 1258  937 1260 1544 1466  365  160 1617
## [1262]  510  342 1353 1651  805  291  745  340 1529  660  726  557 1418
## [1275] 1470  165 1093  602 1700  939 1293 1682 1035  294  574 1282 1591
## [1288]  463 1642 1377  424 1417  712 1481 1101 1652  830  222  503 1620
## [1301] 1540  504  307  999  571 1617 1187  842  130 1417  795  106 1479
## [1314] 1339  180  336  689  855  103  192  420 1198 1040  101 1540 1117
## [1327]  615  465  184  703 1697 1289  362  520  171 1231  559  798 1620
## [1340] 1717  600 1010  178  361  512  982 1546  732 1282  475  773 1209
## [1353] 1123 1574   38  734  142  462 1538 1359   42 1020 1518  671   81
## [1366]  216 1537  944 1141  442  197 1279 1413 1160  838 1317  773  309
## [1379]  150   94   92  875 1164 1602  790  567  800 1590 1625 1338 1018
## [1392] 1665 1637  293  353 1537 1496 1368 1518 1108 1055  373  333  833
## [1405]  410 1409   28  524 1190  220  819  680  898  612  438 1550   85
## [1418] 1364 1200   13  479 1101  781  828   63  246  642  598 1331  805
## [1431] 1130 1189  116  684 1576  783  121 1463  702 1313  510  278 1709
## [1444]   69 1120 1705 1316  508 1292 1129  715 1082  345 1177 1089 1048
## [1457]  802  286  859   89 1661  273  567  216 1580 1686 1177  713 1141
## [1470]  849   68  940 1076  265  921  610  944  183 1269  929  848  208
## [1483] 1532 1681   83  402   23  276  222  186  383 1587 1664  175  405
## [1496] 1360  241 1209  874  536   49  227 1406  203  653  536  454   82
## [1509]   37 1571 1245 1093  943 1599  501 1321 1557  667 1385 1508  300
## [1522]  544  993  359 1455 1337  737  233  159 1120  960 1223  846 1580
## [1535]  361 1311  569  464 1056  183   49 1125  846 1306  138  245 1662
## [1548]  264 1686  695  413  520 1647 1595  962 1579  660  580   37  642
## [1561] 1157  212  392  430  311  473  964 1104  108  717  776  756 1003
## [1574]   70  638  884 1190 1123 1257 1461  209  464 1409 1654 1097  676
## [1587]  986 1671  257  389 1084 1228 1036 1135  397 1365  749 1633  741
## [1600]  813 1532  632 1459  575  252  589  700  203 1634 1122  489 1513
## [1613]  316 1628 1195    1 1176  680  135 1266  933  917 1618 1120  652
## [1626]  318 1663  335  910  914  491  506  906  637  380 1367  979  369
## [1639]  743  809  474  346  480  944 1166 1509 1018 1690  926  269  251
## [1652]  515 1191  586  657  701 1008 1723  922  393  507  533 1301   71
## [1665]  699  159  617   67  687 1412  656   10 1066  948  536 1351 1594
## [1678] 1292  734  543  475  387  522  890 1482  654  615  268   66 1612
## [1691] 1654 1072  425  431  844  522  536 1303   62 1322  970  998  175
## [1704]  315 1279   70 1315  880   46  616  726  281  908  436  805 1473
## [1717]  363 1344   36 1628  573 1530  885 1272   79 1001  570  914
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 517 unacc (0.22222222 0.03761574 0.70081019 0.03935185)  
##      2) safety=high,med 1140 517 unacc (0.33684211 0.05701754 0.54649123 0.05964912)  
##        4) persons=4,more 736 352 acc (0.52173913 0.08831522 0.29755435 0.09239130)  
##          8) buying=low,med 382 174 acc (0.54450262 0.17015707 0.10732984 0.17801047)  
##           16) maint=high,vhigh 192  41 acc (0.78645833 0.00000000 0.16666667 0.04687500)  
##             32) lug_boot=big,med 134  16 acc (0.88059701 0.00000000 0.05223881 0.06716418)  
##               64) buying=med 77   5 acc (0.93506494 0.00000000 0.06493506 0.00000000)  
##                128) doors=3,4,5more 60   1 acc (0.98333333 0.00000000 0.01666667 0.00000000)  
##                  256) doors=4,5more 40   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 20   1 acc (0.95000000 0.00000000 0.05000000 0.00000000)  
##                    514) persons=more 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) persons=4 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                     1030) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) safety=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                       2062) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2063) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) doors=2 17   4 acc (0.76470588 0.00000000 0.23529412 0.00000000)  
##                  258) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    518) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) safety=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 57  11 acc (0.80701754 0.00000000 0.03508772 0.15789474)  
##                130) maint=vhigh 31   2 acc (0.93548387 0.00000000 0.06451613 0.00000000)  
##                  260) doors=2,4,5more 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=3 12   2 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    522) safety=high 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) safety=med 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1046) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) maint=high 26   9 acc (0.65384615 0.00000000 0.00000000 0.34615385)  
##                  262) safety=med 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) safety=high 10   1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)  
##                    526) doors=3 4   1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)  
##                     1052) lug_boot=med 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                       2104) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2105) persons=more 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1053) lug_boot=big 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=4,5more 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 58  25 acc (0.56896552 0.00000000 0.43103448 0.00000000)  
##               66) safety=high 37   6 acc (0.83783784 0.00000000 0.16216216 0.00000000)  
##                132) doors=3,4,5more 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 10   4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  266) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 21   2 unacc (0.09523810 0.00000000 0.90476190 0.00000000)  
##                134) buying=low 9   2 unacc (0.22222222 0.00000000 0.77777778 0.00000000)  
##                  268) maint=high 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    536) doors=4,5more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) maint=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 12   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 190 125 good (0.30000000 0.34210526 0.04736842 0.31052632)  
##             34) safety=med 94  44 acc (0.53191489 0.42553191 0.04255319 0.00000000)  
##               68) lug_boot=small 23   4 acc (0.82608696 0.00000000 0.17391304 0.00000000)  
##                136) doors=3,4,5more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                  274) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 71  31 good (0.43661972 0.56338028 0.00000000 0.00000000)  
##                138) buying=med 40  14 acc (0.65000000 0.35000000 0.00000000 0.00000000)  
##                  276) maint=med 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 18   4 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                    554) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    555) doors=3,4,5more 16   2 good (0.12500000 0.87500000 0.00000000 0.00000000)  
##                     1110) persons=4 7   2 good (0.28571429 0.71428571 0.00000000 0.00000000)  
##                       2220) lug_boot=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                         4440) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4441) doors=4 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2221) lug_boot=big 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1111) persons=more 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 31   5 good (0.16129032 0.83870968 0.00000000 0.00000000)  
##                  278) doors=3 8   4 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    556) persons=4 5   1 acc (0.80000000 0.20000000 0.00000000 0.00000000)  
##                     1112) lug_boot=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1113) lug_boot=big 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    557) persons=more 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=2,4,5more 23   1 good (0.04347826 0.95652174 0.00000000 0.00000000)  
##                    558) doors=2 8   1 good (0.12500000 0.87500000 0.00000000 0.00000000)  
##                     1116) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1117) lug_boot=big 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 15   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 96  37 vgood (0.07291667 0.26041667 0.05208333 0.61458333)  
##               70) lug_boot=small 25   7 good (0.08000000 0.72000000 0.20000000 0.00000000)  
##                140) buying=low 16   1 good (0.00000000 0.93750000 0.06250000 0.00000000)  
##                  280) doors=3,4,5more 12   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) doors=2 4   1 good (0.00000000 0.75000000 0.25000000 0.00000000)  
##                    562) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) maint=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=med 9   5 unacc (0.22222222 0.33333333 0.44444444 0.00000000)  
##                  282) persons=4 5   2 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                    564) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    565) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 71  12 vgood (0.07042254 0.09859155 0.00000000 0.83098592)  
##                142) doors=2,3 35  12 vgood (0.14285714 0.20000000 0.00000000 0.65714286)  
##                  284) lug_boot=med 14   7 good (0.35714286 0.50000000 0.00000000 0.14285714)  
##                    568) buying=med 6   1 acc (0.83333333 0.16666667 0.00000000 0.00000000)  
##                     1136) maint=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 8   2 good (0.00000000 0.75000000 0.00000000 0.25000000)  
##                     1138) persons=4 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) persons=more 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 21   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 36   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 354 176 unacc (0.49717514 0.00000000 0.50282486 0.00000000)  
##           18) maint=high,low,med 269  93 acc (0.65427509 0.00000000 0.34572491 0.00000000)  
##             36) safety=high 128  19 acc (0.85156250 0.00000000 0.14843750 0.00000000)  
##               72) maint=low,med 93   2 acc (0.97849462 0.00000000 0.02150538 0.00000000)  
##                144) doors=3,4,5more 73   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=2 20   2 acc (0.90000000 0.00000000 0.10000000 0.00000000)  
##                  290) persons=4 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) persons=more 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    582) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) lug_boot=small 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 35  17 acc (0.51428571 0.00000000 0.48571429 0.00000000)  
##                146) buying=high 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) buying=vhigh 17   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 141  67 unacc (0.47517730 0.00000000 0.52482270 0.00000000)  
##               74) lug_boot=big,med 92  25 acc (0.72826087 0.00000000 0.27173913 0.00000000)  
##                148) lug_boot=big 43   1 acc (0.97674419 0.00000000 0.02325581 0.00000000)  
##                  296) doors=2,3,4 32   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=5more 11   1 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                    594) maint=low,med 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) maint=high 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1190) buying=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1191) buying=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) lug_boot=med 49  24 acc (0.51020408 0.00000000 0.48979592 0.00000000)  
##                  298) doors=4,5more 26   6 acc (0.76923077 0.00000000 0.23076923 0.00000000)  
##                    596) maint=low,med 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) maint=high 8   2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1194) buying=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) buying=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) doors=2,3 23   5 unacc (0.21739130 0.00000000 0.78260870 0.00000000)  
##                    598) persons=more 9   4 acc (0.55555556 0.00000000 0.44444444 0.00000000)  
##                     1196) doors=3 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                       2392) maint=low,med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2393) maint=high 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4786) buying=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4787) buying=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1197) doors=2 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    599) persons=4 14   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 49   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 85   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 404   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 588   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[4]]
## $bindx
##    [1] 1449 1156  537  606  171 1171 1551 1313 1210  543   20  624 1269
##   [14] 1253 1270 1169  804 1665 1634   51 1136 1200 1455  640  864 1389
##   [27]  747  374  789  113 1282  492 1421  649 1728  979  817  560  859
##   [40]  678  770 1223   36  904  425 1017  221 1103 1257 1561 1471  107
##   [53] 1514  720  105 1100 1112 1166  171  621  483 1000 1001  869 1596
##   [66]   22 1071 1277  495 1008  835  843 1341  741  377  993  286 1141
##   [79]  694 1511   99 1572 1474  226 1362  824 1616  770  608  914   50
##   [92] 1353  720  365  153 1578 1186 1187  521   53  739 1713  644 1296
##  [105]  658  804 1630 1280 1539 1504  743  506   54 1211 1299 1057  530
##  [118]  462  227  884 1033  946 1055  822 1262  506  541 1210  709  292
##  [131] 1188 1328 1066  191  320  451 1417  925  324 1628 1411 1489 1085
##  [144]   25  580 1671  673 1506 1666  904  684  763 1453  468 1661  913
##  [157]  798  687  780 1080  762  713  448 1097 1405 1062 1265   65  660
##  [170]  206 1656 1306  148 1107  344 1102  521  974  584  447  151  491
##  [183]  131  996  558  517 1580  947  982 1192  871  332 1716  789  824
##  [196]  296  131  157 1025 1247  292  446 1571  472 1325  197 1554  986
##  [209]  152  893  140  596 1274  261  712 1645 1586   91 1704 1310 1360
##  [222]  889 1629  785  737  858  528  370    9 1013  852 1667  444 1484
##  [235]  617 1236  494  607 1716 1496 1135  737  151 1465  656  972  459
##  [248]  754  622  150 1210 1403  860  468  484 1059 1281  447 1529  394
##  [261]  918  887 1003 1393  795  529  538  646  589   36 1370 1180 1029
##  [274] 1642 1634  487 1193  923  409  906 1089  980  780  727  400 1152
##  [287] 1609 1331 1189  421  731 1472  625 1414 1627 1166  492 1653  975
##  [300]  381 1033  590  444  507  168 1021 1619  239  255 1025  607  561
##  [313]  363  278  511 1281  374 1574 1093 1378 1251  570  310 1707 1448
##  [326] 1426  262 1610  934  807  613  531 1535 1047 1353  551  934  600
##  [339]  553  649  270  947  126 1670  858  897 1055  865 1425 1301  685
##  [352]  685  701  913 1087  756  303  653  373 1473  879 1721  628  109
##  [365] 1603  964 1078 1698  715 1174  109 1099  933  713  101  514  303
##  [378]  739  158  856  639 1447  116 1291 1025 1728  580 1027 1687  973
##  [391] 1606  546 1708 1372 1604 1444  956  643  594  354 1112    7 1437
##  [404] 1628 1319  806 1005 1652  592 1081 1609 1696 1530 1162    5  811
##  [417]  492  170   13  270  331 1328 1195  310 1726  852  603 1377  572
##  [430] 1658   86   49  138 1122  165  641 1333   42  453  330 1717  338
##  [443]   32 1449 1474  440  818   11 1129 1631  918 1574   89 1631  535
##  [456]  592  375 1352  649  728  792  846 1120  744 1319 1471  410  303
##  [469]  953   17  245 1662   68 1252 1725 1467   34  522  917  729 1386
##  [482] 1583  220 1488  310 1128  654 1076 1383  717  805  144  378 1165
##  [495]  468  711    5 1419  563  530 1171 1096  968 1595 1245  912  336
##  [508] 1439  519 1648  401 1108 1046  989  147 1681 1412 1314   74  516
##  [521]  282  887  295  795  230 1721 1393  550  891 1234 1645  131 1137
##  [534] 1088 1109  659  171  612 1229   49 1651  208  730 1424  444 1633
##  [547]  830  522 1173 1307  854  328 1023 1604 1672  127 1071  312  325
##  [560] 1541 1550  724  680 1345  539  288  701  142  904 1663  550  976
##  [573] 1426 1119   89 1248 1410 1450 1016 1133  191  910 1501 1597  888
##  [586] 1046  624   82  795  563  251  282 1457 1244 1491  153 1207  879
##  [599]  991  147  874   64 1274 1268 1245   54  926 1569 1192  462  306
##  [612]   70 1371 1262  857 1479   10  561  253  650  183    1 1583  598
##  [625] 1258  333 1165 1497  628 1084 1357 1514  226  839  803 1396  459
##  [638]  435  759 1307  174  904 1401 1581  840  737 1439  545 1417 1515
##  [651]  851  711  155  417 1375 1230  566  652  170 1662 1458  854  183
##  [664] 1138  347  984 1247  612 1219 1647 1716  629   14 1579  307  777
##  [677]  509 1692  556  911  814  682  634  727 1669  277  970  577   67
##  [690] 1359  163  347   32   67  253  639  554  903  225 1492  894 1645
##  [703]  455 1641  168 1357  983 1491 1663  847 1669  642 1026  715 1163
##  [716] 1497  217 1063  909 1464  459  914 1443 1654 1013 1669 1189 1163
##  [729] 1607 1151  492  812 1224 1120 1523 1441 1221   32 1009  845 1604
##  [742]  104  764  993  632 1523  987  217  710  580  920 1639  915  367
##  [755]  622  135  198 1527   64 1703 1163  161   27  665 1098   58 1033
##  [768] 1013  420  979  912  938  220  777  719 1584 1455  694 1303  655
##  [781]  910  778 1461   86  435  181  391 1664  161   20 1488 1211 1292
##  [794]  887 1654 1452  654  603  217  726  425   74  450 1172 1360 1203
##  [807] 1692  452  106  426 1608  219  877 1622  483  252 1687  733 1390
##  [820]  864 1581  726  975  693 1494  937  653  764   29 1438 1617 1336
##  [833] 1609  340   88 1282 1442 1340  427    9  353 1291  678  757  401
##  [846]  927 1058 1016   43  196  404  418  374  144 1300 1508 1470  888
##  [859]  966  777  728 1622 1497 1358  313  606 1122  738 1244  152 1269
##  [872] 1011  708 1140 1183  345 1087 1478 1352  369 1163  266 1713  186
##  [885]    8 1649  638  819  798  211  520  787 1379   82  919  255 1576
##  [898] 1283  651 1263  924  139 1152 1345 1573  316 1683 1312 1304 1214
##  [911] 1655  305  688  163  870  261  198 1515  195   63  986  715  631
##  [924] 1587  182 1510 1654  769  105 1324  516  946  947  352  834  853
##  [937] 1137  311  682 1718 1069  888 1605 1492  810   48  571  495 1133
##  [950]  725  884  341  618 1352 1122 1125 1461 1288 1311  958 1719  656
##  [963]  645  832  708 1655  406  351  903 1429  240  441  329 1635 1168
##  [976]  813  448 1603 1242 1577   88  212  253   44 1506  252   57  853
##  [989]   47 1264  129  955  138  582  132  378  431   89 1245  520  851
## [1002] 1258 1241  788  492  929  467  615   64 1244  643  388  581 1702
## [1015] 1282   43  796  532  550  506 1427  201 1165 1338  175 1491 1268
## [1028]  677  927  823  113 1027 1366  831  499  239  383  980 1408  934
## [1041]  984  606 1708  290  645  726  295 1670  881 1119  261  271 1569
## [1054] 1169 1311  535   54 1212 1501  553  873 1721  763 1035  206 1006
## [1067]  731  383 1622 1466 1684 1398  759  922   19  291 1674 1567 1570
## [1080]  907 1571 1182 1112  599  906 1607  416  863 1227  142  238  909
## [1093]  126  692 1153 1112   23 1628  168  474   75  670 1114 1567  507
## [1106] 1509  882  787  457 1288  709 1577 1493  426 1325  601   58 1475
## [1119]  835 1431  229   41 1338    6 1129  928  559 1158  716  644   73
## [1132]  463  588 1514  130  909  444 1405 1690  562  195 1247  133  230
## [1145] 1640  851  128  863  590  742  532  466 1280  289 1728  406  598
## [1158] 1298 1358 1297  919 1637 1129  346 1056 1661 1237 1296 1217   54
## [1171]  527  984  235  854 1218  774  480  634  431 1563 1246  494  939
## [1184] 1596 1633  877   90 1363 1703  434  319 1272 1320   29  668  423
## [1197] 1710  510  100 1006  192 1505   72 1164   36  780  838 1301  351
## [1210]   99  808  277 1133 1475 1389  775  350  430  623  898 1525  670
## [1223]  946 1658 1270  228  405  798 1620 1026 1402  439 1156 1222 1105
## [1236]  642  665  289  853  852 1079 1561 1458   95  485 1131  998 1575
## [1249]  457 1095 1613  393   32  668 1611  703  235 1149 1439  955 1512
## [1262]  121 1541   20 1023  363  821  536 1492  652   59 1675 1107 1582
## [1275] 1041  444 1563  463 1183  549   41 1709 1724 1290  953 1023  786
## [1288]  804 1587 1628  410  533  717  271 1129 1645  977  194  983 1120
## [1301] 1519  152  289 1598  800 1136   80  232  909  421  976  967   16
## [1314]  947  297 1378  194  127 1404  403   13 1008  906  624  148  206
## [1327] 1677 1282  502    2 1538  310  575  865  256  935 1437 1338 1056
## [1340] 1232 1153  536  102  835 1057 1641  566  727  803  424   34  521
## [1353]  124  236  976 1528 1563  497  141  758 1032  437  103 1683 1182
## [1366] 1024 1341 1369 1615 1103  387  487  819  859    1 1499  200 1393
## [1379]   30  189 1095  481  194  903  548  582 1072 1360 1200  478   62
## [1392]  639  116 1662  173 1339  112  892  698   84 1593 1271 1357  938
## [1405]  578 1597 1014 1258   15  620  359  146  227  939   54  170 1285
## [1418]  988 1329  210    8  960 1710 1252 1096  487  798  246 1174  123
## [1431]  593  244  911  277  764 1411   68  463 1146  887 1067  217 1244
## [1444]  282 1061  572  902  361 1263 1579  109  187  707 1224  458  761
## [1457]  232  912  523 1436 1033 1310 1714 1493  661 1531  924 1672 1596
## [1470]  107  391   85 1210 1627 1252  974  747  356  980  205  351 1509
## [1483]  193  360  741 1306 1562  729 1260  549  775 1704 1234  968 1708
## [1496] 1175  615  265 1357 1065 1378 1274 1332  577  207 1691  637 1554
## [1509]  841  453 1179   68 1526  149  631  218   32 1509   58  390  382
## [1522] 1376  335 1663 1725  403  990 1702  179  172 1195  959  518  880
## [1535]  926   84  570  942  930 1081 1114  182 1032  772 1271  809  482
## [1548] 1267  604  882  566 1476  106 1195  119 1187  161 1422 1092  374
## [1561]  239 1610  431  123  644 1457  711  202  780  929  139 1302 1211
## [1574]  812  424  706 1604  657 1216  726 1458  185 1680  935  142 1233
## [1587]  733 1326 1608   90  527 1537  186   41  772 1176  974  318  383
## [1600]  512 1573  670  278  714 1141  635 1324 1311  163 1345 1423  453
## [1613] 1393 1120  733  673 1117   50 1161  136 1329 1278 1633  891  207
## [1626]  576   56  749  553  701  381   36  653  298   68   12  180  517
## [1639] 1601 1566 1338 1083 1526 1413 1357 1382  688    8 1200  495   49
## [1652] 1246 1347 1668  392  883  982  862 1028  783 1373  853 1718  901
## [1665]  450  118  797 1166 1200  923  186 1594  476  186 1670  271   59
## [1678]   69   74  315 1530  227 1220 1394  653 1095 1292 1604 1542  311
## [1691] 1142  216  551  843  673 1431 1594   94 1639  652 1199 1027 1601
## [1704]  956  549  790  530 1451  821  571 1622 1300  142  566  357 1669
## [1717]   53 1072   31  879 1292  930 1004 1001 1390 1116 1048 1326
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 486 unacc (0.20659722 0.03472222 0.71875000 0.03993056)  
##      2) persons=4,more 1099 486 unacc (0.32484076 0.05459509 0.55777980 0.06278435)  
##        4) safety=high,med 722 365 acc (0.49445983 0.08310249 0.32686981 0.09556787)  
##          8) buying=low,med 357 168 acc (0.52941176 0.16806723 0.10924370 0.19327731)  
##           16) maint=high,vhigh 178  51 acc (0.71348315 0.00000000 0.19662921 0.08988764)  
##             32) safety=high 104  19 acc (0.81730769 0.00000000 0.02884615 0.15384615)  
##               64) maint=vhigh 55   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) maint=high 49  19 acc (0.61224490 0.00000000 0.06122449 0.32653061)  
##                130) buying=med 22   2 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                  260) doors=3,4,5more 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 8   2 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    522) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) persons=more 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1046) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) lug_boot=small 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) buying=low 27  11 vgood (0.37037037 0.00000000 0.03703704 0.59259259)  
##                  262) lug_boot=small 10   1 acc (0.90000000 0.00000000 0.10000000 0.00000000)  
##                    524) doors=3,4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) lug_boot=big,med 17   1 vgood (0.05882353 0.00000000 0.00000000 0.94117647)  
##                    526) doors=2 4   1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)  
##                     1052) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) lug_boot=big 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=3,4,5more 13   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) safety=med 74  32 acc (0.56756757 0.00000000 0.43243243 0.00000000)  
##               66) lug_boot=big 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               67) lug_boot=med,small 49  17 unacc (0.34693878 0.00000000 0.65306122 0.00000000)  
##                134) doors=5more 11   2 acc (0.81818182 0.00000000 0.18181818 0.00000000)  
##                  268) lug_boot=med 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) lug_boot=small 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                    538) buying=low 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    539) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) doors=2,3,4 38   8 unacc (0.21052632 0.00000000 0.78947368 0.00000000)  
##                  270) buying=low 14   6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    540) doors=3,4 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                     1080) maint=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1081) maint=vhigh 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2162) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2163) lug_boot=small 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    541) doors=2 8   1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)  
##                     1082) maint=high 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2164) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2165) lug_boot=small 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1083) maint=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  271) buying=med 24   2 unacc (0.08333333 0.00000000 0.91666667 0.00000000)  
##                    542) doors=3 8   2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1084) persons=more 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2168) lug_boot=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2169) lug_boot=small 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1085) persons=4 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    543) doors=2,4 16   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 179 117 acc (0.34636872 0.33519553 0.02234637 0.29608939)  
##             34) safety=med 81  33 acc (0.59259259 0.38271605 0.02469136 0.00000000)  
##               68) lug_boot=small 29   2 acc (0.93103448 0.00000000 0.06896552 0.00000000)  
##                136) doors=3,4,5more 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                  274) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 52  21 good (0.40384615 0.59615385 0.00000000 0.00000000)  
##                138) doors=2,3 28  11 acc (0.60714286 0.39285714 0.00000000 0.00000000)  
##                  276) lug_boot=med 17   4 acc (0.76470588 0.23529412 0.00000000 0.00000000)  
##                    552) doors=2 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    553) doors=3 7   3 good (0.42857143 0.57142857 0.00000000 0.00000000)  
##                     1106) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1107) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  277) lug_boot=big 11   4 good (0.36363636 0.63636364 0.00000000 0.00000000)  
##                    554) maint=med 6   2 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1108) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) maint=low 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) doors=4,5more 24   4 good (0.16666667 0.83333333 0.00000000 0.00000000)  
##                  278) buying=med 11   4 good (0.36363636 0.63636364 0.00000000 0.00000000)  
##                    556) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) buying=low 13   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 98  45 vgood (0.14285714 0.29591837 0.02040816 0.54081633)  
##               70) lug_boot=small 29  10 good (0.27586207 0.65517241 0.06896552 0.00000000)  
##                140) maint=med 13   5 acc (0.61538462 0.38461538 0.00000000 0.00000000)  
##                  280) buying=med 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) buying=low 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) maint=low 16   2 good (0.00000000 0.87500000 0.12500000 0.00000000)  
##                  282) buying=med 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) buying=low 5   2 good (0.00000000 0.60000000 0.40000000 0.00000000)  
##                    566) doors=3,5more 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 69  16 vgood (0.08695652 0.14492754 0.00000000 0.76811594)  
##                142) doors=2,3 34  16 vgood (0.17647059 0.29411765 0.00000000 0.52941176)  
##                  284) lug_boot=med 21  11 good (0.28571429 0.47619048 0.00000000 0.23809524)  
##                    568) persons=4 15   6 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                     1136) buying=med 8   2 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                       2272) maint=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 6   1 vgood (0.00000000 0.16666667 0.00000000 0.83333333)  
##                     1138) doors=2 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 13   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 35   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 365 168 unacc (0.46027397 0.00000000 0.53972603 0.00000000)  
##           18) maint=low,med 169  38 acc (0.77514793 0.00000000 0.22485207 0.00000000)  
##             36) doors=3,4,5more 129  15 acc (0.88372093 0.00000000 0.11627907 0.00000000)  
##               72) lug_boot=big,med 89   2 acc (0.97752809 0.00000000 0.02247191 0.00000000)  
##                144) doors=4,5more 57   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=3 32   2 acc (0.93750000 0.00000000 0.06250000 0.00000000)  
##                  290) persons=more 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) persons=4 13   2 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                    582) safety=high 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) safety=med 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1166) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1167) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) lug_boot=small 40  13 acc (0.67500000 0.00000000 0.32500000 0.00000000)  
##                146) safety=high 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) safety=med 13   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) doors=2 40  17 unacc (0.42500000 0.00000000 0.57500000 0.00000000)  
##               74) lug_boot=big 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               75) lug_boot=med,small 31   8 unacc (0.25806452 0.00000000 0.74193548 0.00000000)  
##                150) safety=high 12   4 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                  300) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  301) lug_boot=small 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    602) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    603) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                151) safety=med 19   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 196  37 unacc (0.18877551 0.00000000 0.81122449 0.00000000)  
##             38) buying=high 96  37 unacc (0.38541667 0.00000000 0.61458333 0.00000000)  
##               76) maint=high 49  12 acc (0.75510204 0.00000000 0.24489796 0.00000000)  
##                152) doors=3,4,5more 36   4 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                  304) safety=high 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) safety=med 16   4 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    610) lug_boot=big,med 13   1 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                     1220) doors=4,5more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1221) doors=3 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                       2442) persons=more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2443) persons=4 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4886) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4887) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    611) lug_boot=small 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) doors=2 13   5 unacc (0.38461538 0.00000000 0.61538462 0.00000000)  
##                  306) lug_boot=big 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  307) lug_boot=med,small 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 47   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 100   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 377   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 629   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[5]]
## $bindx
##    [1]  276  359  955  169 1471  942 1198  597 1455 1461  946 1402 1082
##   [14] 1558  338  111  602  607   42   49  333  879 1413  368 1594  287
##   [27]  778 1328 1138  942  542 1447 1106 1108 1369  548  484  778  176
##   [40] 1676    5 1662 1656 1340  854 1066  195 1174  298  415  204 1713
##   [53]  999  512 1307  121  688  352 1058  417  738  488  297  567 1233
##   [66] 1248 1539 1524  570 1088  605  525 1601  387  681 1400  782  173
##   [79]  981  455 1327  200  894  267 1198  696  126  484  966 1139 1158
##   [92] 1072  295   78  333  100  330  809  417 1342  278 1601  925  284
##  [105] 1409  991   76  316 1214  218  263 1635  456 1357  581 1181 1161
##  [118]  592  592 1707 1275   91 1400 1408  992  569  871  395 1264 1157
##  [131]  505  626  531 1408 1298  344 1667 1628  204 1589 1492  333 1384
##  [144]  366  297  598  776  527 1225 1397  299  576  503 1447  279  263
##  [157]  800  465  928 1371 1061 1249 1007  889 1020  606 1616 1714 1012
##  [170] 1184  420  450  759 1289 1192  621 1230  105 1443 1679  196 1109
##  [183] 1284 1201 1267 1561  766 1541 1040  191  839  455 1120 1109  617
##  [196] 1083  865 1650 1362 1674   49 1576  198  725 1161  230 1261  957
##  [209]  227   14  184   73  942 1483 1056 1165  555  766 1439  498  387
##  [222]   51  811  867  725  450  608 1380 1621 1653  492  175  491  202
##  [235]  223  191  242 1102 1397  672  781 1699 1455 1693 1291 1247 1626
##  [248]   22 1061 1405  222  174  884 1115 1434  141 1437   66  837 1603
##  [261]  841 1441  558  778 1208 1178  154  582  782  161 1078  125  336
##  [274] 1111  293 1018  250  949 1600 1646 1599   34 1442 1118 1126 1187
##  [287] 1104 1727  167 1558  801 1229  581 1226 1611  135  873  896 1608
##  [300] 1398 1170  330 1559 1363  684  335  881  556 1245  710  457  115
##  [313]  803 1368 1571 1581 1224  803 1720  194  116 1232 1264   30  941
##  [326] 1303  571  377 1204 1674  784 1435  596 1511  751  293  855 1118
##  [339]  435  960  325 1013  717 1585 1231  371 1547 1646  175  192   71
##  [352]  272 1574  817  493 1699 1721 1606   49 1499 1444 1388  286 1719
##  [365]  573 1470 1550 1171 1184  281 1145  862 1480 1477 1315 1446 1537
##  [378]  779  731 1347  463 1233  613  325  734 1256 1432  820 1373  509
##  [391]  133 1529 1023  652 1247  243 1011  662  169  445 1314 1044  918
##  [404]  720  828  944 1713  592 1171  810 1013  533 1039 1093 1057  783
##  [417] 1122  533 1670   97  870  706 1402 1161 1632  395  553 1535 1718
##  [430]  164  155 1008   38  530  285  406 1103  887 1717  226   80  346
##  [443]  584 1705   66  658 1356  740  102  790  723  383  985 1722  317
##  [456] 1606    6 1509 1329  738 1102  402  933  234 1014  425 1508 1267
##  [469] 1565 1692 1474  677  900  378  153  799 1505  408  386  680  657
##  [482] 1054  736  387 1427 1366  310 1186 1409  121 1273  541  537 1275
##  [495]  162 1040 1466  309 1653  274 1204  187  122 1268  647 1634 1680
##  [508]  226 1122  770  564  651 1478  929 1128 1202 1657 1258 1188  973
##  [521]  408   81  972  439 1548 1055  856  775  453  871 1203 1185 1524
##  [534]   23 1608 1463  953  117 1446  945  847  623 1628 1502 1011 1192
##  [547] 1358 1010   24 1489  128  711  124 1330 1046  336 1568  797  114
##  [560]  648  155 1710  592  978  488 1416  316 1584  191 1481    1 1434
##  [573] 1125 1477 1562  632  422  190  672 1708 1461 1122 1598  354 1418
##  [586]  762  915 1209  277  704  855 1555  567  112   77 1469   91 1151
##  [599] 1283  798  723 1279  111  415  783  660  788  538 1178 1670 1424
##  [612]  953 1132  140  495 1271  904 1552 1295 1645 1591  338  541 1063
##  [625]  934  227  502  854 1333  287 1569  542 1359  532  421 1289 1203
##  [638]  991 1540 1651 1025  975 1097  837  416  903  509 1484  614  344
##  [651]  257  370    9  322 1100   68  356 1001 1643 1317  370  280   88
##  [664] 1543 1016 1176  882 1638 1238 1275  343  827  148 1612  141 1168
##  [677] 1090 1589 1723   59 1236  756  534 1152 1240  867 1091   48  735
##  [690]  242 1327  264  337  982 1522   40  561  719 1465  894  647  413
##  [703]  589  992  484  802  379  392 1705  811 1576 1654 1640  689  373
##  [716]  253 1133  467  980  938  418 1314  790 1567 1279  564  811 1072
##  [729]  996 1244 1263 1360 1329   60 1500  843 1181 1245  565  623  937
##  [742] 1219 1465 1395   52 1217  897  632 1020  513  666  501  386  388
##  [755]  806 1712  926  820  890 1569  826  883 1285 1727 1158  519  674
##  [768] 1622   33  632  127 1463  553  329 1154 1690  986  960  751 1680
##  [781]  338  671 1044 1443 1504 1445  897 1187 1044 1371  861  371 1625
##  [794]  679  826  263 1126  377 1641  671 1702  939  388 1329 1255 1254
##  [807]  421  861   39  651 1580  247  941  824  397  231   81  715 1528
##  [820] 1057 1657 1662  174 1309 1043  945  177  523  665  669  337 1110
##  [833]  238 1134  234 1088   23  806 1624  362 1028 1134  566  527 1645
##  [846]  700 1069  365 1503 1006 1501 1178 1242  213  654  244 1464  640
##  [859]  978  328 1643  579 1180  707   18  965  605 1411  401 1087 1687
##  [872]  472 1549  373  677  801  555 1382  533 1093  955 1504  995  103
##  [885] 1119  476 1203 1520  910  595  156  785  702 1253 1619  565 1187
##  [898] 1139  341 1340 1598 1373 1312 1635 1638  809  358  980 1421  247
##  [911] 1531 1313  204  580 1513  344 1103  577  440  964   77  388 1640
##  [924]   35 1305 1587  957  996 1398  531 1570  675  721 1516  529  525
##  [937]  709 1003  858 1075  342 1635  875 1071 1632  192 1547  886 1503
##  [950]  379 1712 1180  394  509   69  573  532  108 1312  840  433  655
##  [963]  441 1633 1643 1205 1409  566  372  401 1059  632 1287  898 1422
##  [976]  467  480 1152  709  555 1660   80  225 1094  494 1466  108  102
##  [989] 1639 1678 1443  864  176 1085  159 1666  986 1401 1339 1719 1296
## [1002] 1602  381  299 1457  689 1158 1586 1144  441  289  319  821 1098
## [1015] 1375  110 1564  947  852    6 1146 1000  244 1060  376  502 1622
## [1028]  576  884 1434  265 1422   12  585  964   32 1402 1716  891  701
## [1041]  885 1179 1225  220  378 1472  169  955  856 1095 1315  699  756
## [1054] 1499 1396 1031  102  465  392 1536 1162 1365  790 1543 1366  381
## [1067] 1096 1071 1106  637 1550 1349 1590  356  631 1537  389  136 1675
## [1080]  931  875  444  714  340 1484 1136  507  972  981  940  355   82
## [1093] 1455  799 1538 1352  821 1509 1128 1132 1106 1491  960   34   17
## [1106]  697  500 1600 1151  918  909  895  202  966  118  644  554 1308
## [1119]  213 1660  258 1239  274  465  966  989 1367 1178  253 1366  776
## [1132] 1147  390 1718  221  862  350  617  592  574  961  363  981  237
## [1145] 1461 1683 1682  586  364  474  527 1269 1008 1668  677  545  730
## [1158] 1347 1412  963  437 1685 1221  362  545 1255  456 1531  147 1158
## [1171]  908  767  183  162    9 1304  709  626    4   37  319  580  394
## [1184] 1014   28 1635  102  740 1147 1549  352 1257  239 1427  541  621
## [1197]  555 1091 1598 1054  306  371  142  646  502  172 1714 1520 1558
## [1210] 1490 1559 1628  940   34 1042  218  414  534 1520  406 1712 1713
## [1223] 1580 1717    9   12  757  299 1594  102  852  947 1576  429 1660
## [1236]  905 1176  203   24 1548 1464  932  574 1664 1057  768 1473  579
## [1249] 1021  419 1284 1419 1505  193  783  221  391 1051  130 1525  280
## [1262] 1720  344  942 1205  347 1217  607   52 1013  423 1285  207 1629
## [1275] 1511  741 1479  666 1122  365 1462 1564  936    5 1484 1402  323
## [1288]  826  792  729  330 1069 1453  678 1719 1073  330 1272 1321 1631
## [1301]  202 1575  583  951  932  258 1057 1643  126  442 1688   75 1243
## [1314]  652 1637  274  774 1239 1559 1484  607   82  233 1336  951  885
## [1327]  552  698   44 1165  133  193  791 1178  986 1500  346 1078  583
## [1340] 1625 1031  349 1677 1070  462  727  293   62 1287  407  559  649
## [1353] 1152  671  210  153 1541  367  377 1649  783 1659 1558  943  157
## [1366]  784  375  292 1264  917 1202  706 1072 1204  236 1149 1364  168
## [1379] 1191  131   93  608  930  793 1695  900  545  640 1258  722 1453
## [1392] 1011 1436 1569  930 1609 1129  309   48  489 1630  579 1482 1379
## [1405] 1043  723  984  387  664 1160   64 1305  268 1462  172  806 1078
## [1418]  918  689  469  790  809 1413 1351  425 1089 1260  882 1477  533
## [1431] 1564 1386 1067 1561  760  405  945   54  588  489 1042   34 1277
## [1444]  346 1713 1289  927 1315 1415  959   87   84  397 1295  278 1530
## [1457]  941 1710  651 1284  845 1645  754 1252 1263  459 1490  489  355
## [1470] 1685  138  230  174  981 1306  133  561  411  671   55  958  182
## [1483] 1702 1642 1361  130 1396  795    2 1447 1604 1031  434 1421  287
## [1496] 1639   38 1272 1124  554  321 1641  733  470 1468 1654 1077  998
## [1509]  538 1016  167  610  510  489 1299  894  270  101 1073  709  498
## [1522]  796  629  200  446  659   26  281  939  600 1077 1196 1299 1221
## [1535]  537  182 1164 1678 1120 1106  899 1359  737 1605 1004 1015  945
## [1548]  590  708   51  227  594 1178  457  516  169 1086 1386 1342 1725
## [1561]  774 1627 1619 1463 1378  841 1691 1648 1111  850  759  905 1491
## [1574]  439 1552 1534  236 1547  903   21  960  827  198 1353 1142  848
## [1587] 1371 1072  768 1198  444 1179  833  452  943   61  845 1500  720
## [1600] 1217  546  163  234  178  127 1108  464 1469 1133 1566 1589 1260
## [1613] 1040   20 1678 1330 1421   17 1067  683 1608 1334  174  445    5
## [1626] 1347 1399 1336 1610  656 1544  212   45  729  679   61   87   18
## [1639]  573  928  578 1040 1316 1145  824 1562 1382 1672 1496 1378  438
## [1652]  503  984  601  461  295 1325 1048  391 1425 1533 1066 1447   21
## [1665] 1036 1274  937   73  641  608 1258  876    8 1432  275 1156  912
## [1678]  371    7  814 1422 1270  152 1406  948 1483  930  750 1717  374
## [1691] 1189 1066 1624  725 1369  627  573   37  281  785 1424 1240   77
## [1704] 1362  386  716  506  389 1557  803 1637 1410  783  511  225 1049
## [1717]  839  582  525  498 1085 1267 1298  417   89 1533 1178  460
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 529 unacc (0.22627315 0.03819444 0.69386574 0.04166667)  
##      2) safety=high,med 1158 529 unacc (0.33765112 0.05699482 0.54317789 0.06217617)  
##        4) persons=4,more 791 400 acc (0.49431100 0.08343869 0.33122630 0.09102402)  
##          8) buying=low,med 408 183 acc (0.55147059 0.16176471 0.11029412 0.17647059)  
##           16) maint=high,vhigh 201  51 acc (0.74626866 0.00000000 0.17910448 0.07462687)  
##             32) safety=high 105  19 acc (0.81904762 0.00000000 0.03809524 0.14285714)  
##               64) buying=med 62   2 acc (0.96774194 0.00000000 0.03225806 0.00000000)  
##                128) doors=3,4,5more 50   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) doors=2 12   2 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                  258) lug_boot=big,med 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=small 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                    518) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 43  17 acc (0.60465116 0.00000000 0.04651163 0.34883721)  
##                130) maint=vhigh 18   1 acc (0.94444444 0.00000000 0.05555556 0.00000000)  
##                  260) doors=3,4,5more 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    522) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) maint=high 25  10 vgood (0.36000000 0.00000000 0.04000000 0.60000000)  
##                  262) lug_boot=small 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    524) doors=3,4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1050) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1051) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) lug_boot=big,med 18   3 vgood (0.16666667 0.00000000 0.00000000 0.83333333)  
##                    526) doors=2,3 9   3 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1052) persons=4 6   3 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                       2104) lug_boot=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2105) lug_boot=big 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1053) persons=more 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=4,5more 9   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) safety=med 96  32 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##               66) lug_boot=big,med 66  10 acc (0.84848485 0.00000000 0.15151515 0.00000000)  
##                132) doors=4,5more 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2,3 31  10 acc (0.67741935 0.00000000 0.32258065 0.00000000)  
##                  266) lug_boot=big 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) lug_boot=med 14   4 unacc (0.28571429 0.00000000 0.71428571 0.00000000)  
##                    534) buying=low 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    535) buying=med 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) lug_boot=small 30   8 unacc (0.26666667 0.00000000 0.73333333 0.00000000)  
##                134) maint=high 16   8 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  268) buying=low 10   2 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    536) doors=3,4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1074) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1075) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) buying=med 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 14   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 207 132 acc (0.36231884 0.31884058 0.04347826 0.27536232)  
##             34) safety=med 106  41 acc (0.61320755 0.34905660 0.03773585 0.00000000)  
##               68) lug_boot=small 33   4 acc (0.87878788 0.00000000 0.12121212 0.00000000)  
##                136) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                  274) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 73  36 good (0.49315068 0.50684932 0.00000000 0.00000000)  
##                138) buying=med 40  10 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                  276) maint=med 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 13   3 good (0.23076923 0.76923077 0.00000000 0.00000000)  
##                    554) lug_boot=med 6   3 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1108) doors=2,3 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                       2216) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2217) persons=more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1109) doors=4,5more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) lug_boot=big 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 33   6 good (0.18181818 0.81818182 0.00000000 0.00000000)  
##                  278) doors=2 12   6 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    556) lug_boot=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 21   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 101  44 vgood (0.09900990 0.28712871 0.04950495 0.56435644)  
##               70) lug_boot=small 27   9 good (0.14814815 0.66666667 0.18518519 0.00000000)  
##                140) doors=3,4,5more 18   4 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                  280) maint=med 6   2 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                    560) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) maint=low 12   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 9   4 unacc (0.00000000 0.44444444 0.55555556 0.00000000)  
##                  282) persons=4 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 74  17 vgood (0.08108108 0.14864865 0.00000000 0.77027027)  
##                142) doors=2,3 34  17 vgood (0.17647059 0.32352941 0.00000000 0.50000000)  
##                  284) lug_boot=med 19   8 good (0.31578947 0.57894737 0.00000000 0.10526316)  
##                    568) maint=med 7   1 acc (0.85714286 0.14285714 0.00000000 0.00000000)  
##                     1136) buying=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) maint=low 12   2 good (0.00000000 0.83333333 0.00000000 0.16666667)  
##                     1138) persons=4 10   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) persons=more 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 15   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 40   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 383 166 unacc (0.43342037 0.00000000 0.56657963 0.00000000)  
##           18) maint=high,low,med 285 119 acc (0.58245614 0.00000000 0.41754386 0.00000000)  
##             36) lug_boot=big,med 186  49 acc (0.73655914 0.00000000 0.26344086 0.00000000)  
##               72) maint=low,med 130  21 acc (0.83846154 0.00000000 0.16153846 0.00000000)  
##                144) lug_boot=big 68   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) lug_boot=med 62  21 acc (0.66129032 0.00000000 0.33870968 0.00000000)  
##                  290) doors=3,4,5more 45   7 acc (0.84444444 0.00000000 0.15555556 0.00000000)  
##                    580) doors=4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    581) doors=3 19   7 acc (0.63157895 0.00000000 0.36842105 0.00000000)  
##                     1162) persons=more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1163) persons=4 11   4 unacc (0.36363636 0.00000000 0.63636364 0.00000000)  
##                       2326) safety=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2327) safety=med 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  291) doors=2 17   3 unacc (0.17647059 0.00000000 0.82352941 0.00000000)  
##                    582) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) safety=med 14   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 56  28 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                146) buying=high 32   4 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                  292) persons=more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) persons=4 16   4 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    586) safety=high 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) safety=med 8   4 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1174) doors=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) doors=2,3 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                       2350) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2351) lug_boot=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) buying=vhigh 24   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 99  29 unacc (0.29292929 0.00000000 0.70707071 0.00000000)  
##               74) safety=high 41  12 acc (0.70731707 0.00000000 0.29268293 0.00000000)  
##                148) maint=low,med 25   2 acc (0.92000000 0.00000000 0.08000000 0.00000000)  
##                  296) doors=3,4,5more 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                    594) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) maint=high 16   6 unacc (0.37500000 0.00000000 0.62500000 0.00000000)  
##                  298) buying=high 8   2 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    596) doors=3,4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1194) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) buying=vhigh 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 58   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 98   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 367   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 570   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[6]]
## $bindx
##    [1]  841 1639  455 1104  518  173   17  547  819  330 1375  933  132
##   [14]  502 1155 1087  426 1611  234  911  972  720  143 1699   70 1665
##   [27]  947 1105 1642  371 1703  976   51 1187  315 1483  271 1527 1486
##   [40] 1389 1669 1546 1092   33  511 1663  734 1508 1457   56 1099 1305
##   [53]  165  801 1357 1655 1445 1610  527  134 1625  901   80 1586  265
##   [66]  248  212 1327 1607 1217  602  929  845 1168 1608 1131  625 1225
##   [79] 1515  356  345 1453  618 1519  747 1344 1679  531  531  909 1690
##   [92]  474  780 1094  642    9 1097 1386  750 1484 1367 1359  855   33
##  [105]  547  114  370  163  896  529 1722 1043 1425  938 1043  915 1471
##  [118]  640  518  563 1319 1214 1152  833  812 1217 1437  764 1359  381
##  [131]  151 1465  986  824  860  122  937 1084 1405 1558  607 1075  135
##  [144]  724  609 1294 1681  386 1400  907 1321   72  297  477 1535  208
##  [157]  313  527  564  456  266  594 1325 1709  197 1472  586  320  822
##  [170] 1120   86  301  787 1135  908  394 1575  298 1414 1673 1188  552
##  [183]  377 1166 1457  865 1514  699 1061  260 1474   72   92 1728  935
##  [196]  226 1193  211  948  588 1361 1133  927 1437  611 1221 1237  210
##  [209]  341  705 1298  506 1192 1391  559 1378  260 1331  772  725  743
##  [222] 1390  575 1004  894  129  707  491 1183 1077  456 1215  869 1081
##  [235]  565  903  454 1694  492  306 1674  881 1003 1300  387  103  118
##  [248]  718  771 1641  809  102  283 1641  422 1086  145  234  440 1528
##  [261]  664  637  918  780  657  837 1146 1726 1177 1116 1700  398 1207
##  [274] 1431 1511  348 1667  444  990 1613   68 1162 1156 1665 1647    1
##  [287] 1562 1311  507   15  848  141  510 1137  405 1483  449 1369 1465
##  [300]  624 1559  278 1258 1515  987  410 1452 1244  358 1497 1146  887
##  [313]  571  317   59 1057 1368  195  438 1124  920 1290  563  507 1253
##  [326]  450  545  327   12  161 1643 1672  791  598 1283 1364    7  803
##  [339] 1421  208  645  873 1692  532  391  917 1333  175  861 1592 1524
##  [352] 1285  529  186 1690 1609 1350 1562 1044  273 1166  838 1505  337
##  [365] 1694    5  779 1491  853  239  881  316  698 1420 1494 1194 1153
##  [378]  332  480   81 1663  494  416  194 1160  290  387 1283  810  507
##  [391]  401  847  303  322  876  433  105 1149 1368 1219   35  132 1698
##  [404] 1035 1359  376  685  353 1197 1579 1148  599  962  878 1335 1066
##  [417]  363  780 1539  582 1541 1386 1616 1241 1327  848 1222   35  799
##  [430] 1187  514  139  602  126 1394 1164 1587 1363  394  937  246 1681
##  [443]  200 1047  738  703 1508  648 1599 1043  909  477  943  273  369
##  [456] 1323  510 1548  940   69 1018 1001  440 1165 1484  293  594 1043
##  [469] 1447 1533 1270  199 1022  137 1034  670 1418 1382 1450  277  887
##  [482]   25 1064 1221 1573 1215 1479 1398  631  323  749  189  301  548
##  [495]  602  133 1151  240 1653  923  832 1531  515  279  232 1533 1112
##  [508]  540 1154 1428 1258 1176 1403  367  476  926 1448  827 1448 1497
##  [521] 1401 1332 1046 1234 1248  186  605  403  381  624  527   94  773
##  [534]  686 1660 1135 1488  668 1205 1319 1026  754  583 1555  877  653
##  [547] 1671   31  649 1153 1293  127  872  771  842  232 1692  111  515
##  [560] 1348 1408 1615 1251  938  337 1319   75  956  752  373 1229  624
##  [573]  784 1105  919 1229  489 1493  755  525 1358  506  840  152 1256
##  [586] 1267  133  880  187  200  902  300  234  298 1499  679   60  475
##  [599]  804  831  946  147  255  673   93 1221 1599 1583  611 1603  254
##  [612]  104  231 1625 1452  617  693 1689 1508  698 1276  800 1207 1497
##  [625] 1531  591 1182  909 1679 1518 1219  376 1574  614  885  542 1237
##  [638]  560 1137  108 1575 1004 1076 1691 1636  907  431  795 1396  700
##  [651] 1529   56  442 1224 1506 1530 1634  256   15 1204  793 1191 1462
##  [664]  930 1207 1134 1347  231 1026  674 1628  841 1700  512 1279 1621
##  [677] 1616  214  506  368  321 1285 1316  265   54  101   32 1234 1379
##  [690] 1655 1722 1363  472 1369 1256 1289  167 1622 1230  508  107  616
##  [703]  258  877  375  275  628 1726  639 1577 1541  949 1721 1231 1591
##  [716]  506  691  474  848 1093  559  443  124  434  668 1342  150  186
##  [729] 1066 1582 1720  156  892 1306  833  582  196  854 1231  392 1576
##  [742] 1050  486 1518 1685  612  379  818  772 1115 1181  439  616  371
##  [755] 1189 1265  233  648 1204  511  734  528  270   35 1452  513  498
##  [768]  184  828  245  313 1361  579  387  535  427 1092  315 1086  551
##  [781]  744  991  964 1458  978  283 1097  789 1391  407 1089 1531 1569
##  [794]   78 1297 1447  797  507  349 1251 1602 1451 1028 1100  237  628
##  [807]   78  811 1655  490  741  260  968 1110   26   93  301  329  302
##  [820]  818  880 1095  105  358  347 1187  952  930 1554  429 1121  655
##  [833] 1485 1116  722  212  191  870 1441  356  454 1330   69  983  992
##  [846] 1436  171 1311  294 1368   67  145  732 1705  787 1211  931 1551
##  [859]   29  984  729 1495  108  537  831 1464 1114  506  972 1725 1383
##  [872]  499  784  351  167 1620 1489 1457  304  922 1670   64 1648  414
##  [885]  125  700  915  298  432  688 1709  648  708 1081 1139  690  175
##  [898] 1513  338  372 1332  747 1182 1557 1623  946  740 1396  899 1340
##  [911] 1323 1230 1055  843  806 1482 1720  491 1311 1566 1249  325 1171
##  [924] 1083  583  627 1159 1276 1592  550  872 1005  885  611  751 1256
##  [937] 1287  917 1040  775 1133 1376 1072  799  529 1619  317 1541 1456
##  [950] 1591 1161 1046  432  728  988  559 1566 1247 1353 1373  513 1585
##  [963]  382  346  216  395  148 1269  222 1314  220 1113  803 1001  190
##  [976] 1303 1643 1424  324 1597 1558 1282  758  556 1127  253  779  976
##  [989]  701 1642 1182 1654  634 1304 1009  912  414 1657  468 1277  127
## [1002]  770  766  846  625 1277 1039  420 1709  588  652   20 1294 1621
## [1015]  777  467  875  443 1690  316  582 1342 1190  565  440  986  334
## [1028] 1143 1221 1579  562 1229 1657  308 1584 1669  232  674 1725 1681
## [1041]  343 1027  446  117  619  960  178 1092 1203 1582 1373  744  667
## [1054]  360 1326  370 1340 1358    1  525 1106  779  760 1110 1486 1650
## [1067]  372   13 1492  792  139  667  833  330  832  604  465  791  383
## [1080] 1199 1297  180 1221  710  531  427  514  570  775   98 1316  257
## [1093]  698 1533  471 1159  488  928  254  110  415 1210   55 1127  491
## [1106] 1263  713  599 1236 1548  702   30   74 1507  855   23  188  536
## [1119] 1478 1212 1469   32 1309  224   29  711 1283  311  855 1218 1664
## [1132]  548  236 1507   79  684  937  775  111  614 1241 1236 1082  683
## [1145]  620  321 1626 1218   14 1476  411  210  783 1026  442  234  562
## [1158]  636  132 1423  586  237 1062  126  387 1654 1332  314 1454  904
## [1171]  276 1630 1326 1319 1057 1129 1301  348 1079 1260 1276  907 1343
## [1184] 1087  387  347  444 1112  719  953  437  753  373  498  784 1640
## [1197] 1073 1375 1537  587  898  411 1005 1727 1655  415  874 1189  115
## [1210] 1434 1154    2 1150  654  346  772   55 1059  154 1602 1269 1257
## [1223] 1037 1059 1399 1597  537  962  972  404   16  232  355  112   70
## [1236]  826  478 1168  522  278  724  818   64 1360 1554 1152 1533 1640
## [1249] 1591  927   40  938 1262 1559  121  982  537 1297 1035  233  231
## [1262]  905  915 1267  973 1425   89  525 1133   41 1549  825   77 1673
## [1275] 1635 1443  728  824  375  882 1608  477 1257  393  536 1416  414
## [1288] 1540  393  676  616 1077  542 1093  526  777  715 1175  689 1023
## [1301]  920 1610 1348  704  699  260 1257 1677  787 1273  302   85  764
## [1314]  730  122 1446  589 1631   34 1358  752  882 1003 1384 1307  494
## [1327] 1370 1364  486  184 1324  654  763 1266 1293 1360  959  522 1269
## [1340]  847  962 1357  490  365  445 1265  509  243 1711  868  561 1006
## [1353] 1047  489  249 1160  760 1045  581  938  987 1110 1382 1210   81
## [1366]  348 1149  332 1700  444  712 1381 1495  511  468 1537  183 1696
## [1379] 1157  969 1690  574  723  631  491  245  704  230  215  802 1078
## [1392] 1725 1569  334  883  911  906  886 1682 1014  794 1460  715  560
## [1405]  381  975  533  922  650  336 1420  973 1093  928  104 1242  152
## [1418]  105  391 1333  897  980  501  509  989 1671  431 1262 1219 1144
## [1431]  674  235  504 1097  545 1586  394 1454  822 1115  448 1465  834
## [1444]   99 1293 1623  967  130  123 1393  824 1088  136 1052   56   33
## [1457] 1503  731  273 1589  711 1635  366   76  677  483  160  484  431
## [1470]   42  740  472  369   38  334  173  523  645  376 1374 1283 1286
## [1483]  689   45 1330 1417  157 1001 1579 1545  741  499  678  856 1455
## [1496]  324  143  316 1720   41  770  945  840 1607  138  343  263  564
## [1509] 1401 1670 1021 1583  798  326  962  881  628 1155 1674 1664  770
## [1522]   19 1092 1058  268  840   42 1688 1584  917  509  482 1645 1698
## [1535]  195 1641 1371  364 1493  453  851   20 1010 1326  470 1314 1214
## [1548]  706 1329  172 1451  265  220  568  563  742  282 1639 1451 1390
## [1561] 1509  449  436 1659   30  749 1551  649  761 1234 1106  349  716
## [1574]   21 1360  309  584 1498  760  961 1386  735  570 1301   17  834
## [1587]  607 1290  145  348 1508  437   83   79  619 1441 1634 1356  899
## [1600]  785  629 1356  244 1582  668 1259  845 1485 1233  666  614 1518
## [1613]  487 1235  718  381  110 1004  730 1638  755  678 1677 1080 1663
## [1626] 1167 1136 1471  591   83  329  258 1429  699  962 1558  377  366
## [1639] 1361  635 1720 1476 1349 1658 1533  294 1244  922  727 1268 1411
## [1652]  142 1016  188 1038  887  963  586  714  364  435 1046 1384 1069
## [1665] 1516  987 1615 1039 1569  959  630 1180  373  446 1353 1549  690
## [1678]  626 1524 1164  422  659  539  988  231  617  645 1345  896  834
## [1691] 1647  218  836  670  570  246  499  485  556   26 1386 1367 1360
## [1704]  552   55 1322  141 1609  640 1004  971  924  993  167 1675 1331
## [1717]  225 1156 1057  306  855 1487 1279  886  629 1330  342  759
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 524 unacc (0.22800926 0.03819444 0.69675926 0.03703704)  
##      2) safety=high,med 1172 524 unacc (0.33617747 0.05631399 0.55290102 0.05460751)  
##        4) persons=4,more 793 399 acc (0.49684741 0.08322825 0.33921816 0.08070618)  
##          8) buying=low,med 393 185 acc (0.52926209 0.16793893 0.13994911 0.16284987)  
##           16) maint=high,vhigh 196  54 acc (0.72448980 0.00000000 0.22448980 0.05102041)  
##             32) lug_boot=big,med 133  21 acc (0.84210526 0.00000000 0.08270677 0.07518797)  
##               64) doors=3,4,5more 101  10 acc (0.90099010 0.00000000 0.00990099 0.08910891)  
##                128) safety=med 57   1 acc (0.98245614 0.00000000 0.01754386 0.00000000)  
##                  256) doors=4,5more 39   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 18   1 acc (0.94444444 0.00000000 0.05555556 0.00000000)  
##                    514) lug_boot=big 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) lug_boot=med 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                     1030) maint=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) maint=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) safety=high 44   9 acc (0.79545455 0.00000000 0.00000000 0.20454545)  
##                  258) buying=med 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) buying=low 18   9 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                    518) maint=vhigh 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) maint=high 10   1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)  
##                     1038) doors=3 3   1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                       2076) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2077) persons=more 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1039) doors=4,5more 7   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               65) doors=2 32  11 acc (0.65625000 0.00000000 0.31250000 0.03125000)  
##                130) safety=high 15   1 acc (0.93333333 0.00000000 0.00000000 0.06666667)  
##                  260) persons=4 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) persons=more 4   1 acc (0.75000000 0.00000000 0.00000000 0.25000000)  
##                    522) maint=vhigh 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) maint=high 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                     1046) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) lug_boot=big 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                131) safety=med 17   7 unacc (0.41176471 0.00000000 0.58823529 0.00000000)  
##                  262) lug_boot=big 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) lug_boot=med 11   1 unacc (0.09090909 0.00000000 0.90909091 0.00000000)  
##                    526) maint=high 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1052) buying=low 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    527) maint=vhigh 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) lug_boot=small 63  30 unacc (0.47619048 0.00000000 0.52380952 0.00000000)  
##               66) safety=high 29   5 acc (0.82758621 0.00000000 0.17241379 0.00000000)  
##                132) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 8   3 unacc (0.37500000 0.00000000 0.62500000 0.00000000)  
##                  266) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 34   6 unacc (0.17647059 0.00000000 0.82352941 0.00000000)  
##                134) buying=low 15   6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  268) maint=high 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    536) doors=3,4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) maint=vhigh 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 19   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 197 131 acc (0.33502538 0.33502538 0.05583756 0.27411168)  
##             34) safety=med 100  47 acc (0.53000000 0.44000000 0.03000000 0.00000000)  
##               68) lug_boot=small 27   3 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                136) doors=3,4,5more 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 5   2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  274) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 73  29 good (0.39726027 0.60273973 0.00000000 0.00000000)  
##                138) buying=med 41  17 acc (0.58536585 0.41463415 0.00000000 0.00000000)  
##                  276) maint=med 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 21   4 good (0.19047619 0.80952381 0.00000000 0.00000000)  
##                    554) doors=3 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                     1108) lug_boot=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) lug_boot=big 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) doors=2,4,5more 16   1 good (0.06250000 0.93750000 0.00000000 0.00000000)  
##                     1110) doors=2 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                       2220) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2221) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1111) doors=4,5more 12   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 32   5 good (0.15625000 0.84375000 0.00000000 0.00000000)  
##                  278) doors=2 6   1 acc (0.83333333 0.16666667 0.00000000 0.00000000)  
##                    556) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 26   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 97  43 vgood (0.13402062 0.22680412 0.08247423 0.55670103)  
##               70) lug_boot=small 32  19 good (0.34375000 0.40625000 0.25000000 0.00000000)  
##                140) buying=med 16   5 acc (0.68750000 0.31250000 0.00000000 0.00000000)  
##                  280) maint=med 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) maint=low 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) buying=low 16   8 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                  282) doors=3,4,5more 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 10   2 unacc (0.00000000 0.20000000 0.80000000 0.00000000)  
##                    566) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 65  11 vgood (0.03076923 0.13846154 0.00000000 0.83076923)  
##                142) doors=2,3 31  11 vgood (0.06451613 0.29032258 0.00000000 0.64516129)  
##                  284) lug_boot=med 14   5 good (0.14285714 0.64285714 0.00000000 0.21428571)  
##                    568) persons=4 9   1 good (0.11111111 0.88888889 0.00000000 0.00000000)  
##                     1136) buying=med 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                       2272) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 5   2 vgood (0.20000000 0.20000000 0.00000000 0.60000000)  
##                     1138) doors=2 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2276) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2277) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 17   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 34   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 400 186 unacc (0.46500000 0.00000000 0.53500000 0.00000000)  
##           18) maint=high,low,med 285  99 acc (0.65263158 0.00000000 0.34736842 0.00000000)  
##             36) lug_boot=big,med 207  46 acc (0.77777778 0.00000000 0.22222222 0.00000000)  
##               72) maint=low,med 149  16 acc (0.89261745 0.00000000 0.10738255 0.00000000)  
##                144) safety=high 76   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) safety=med 73  16 acc (0.78082192 0.00000000 0.21917808 0.00000000)  
##                  290) doors=3,4,5more 55   5 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                    580) doors=4,5more 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    581) doors=3 20   5 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                     1162) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1163) lug_boot=med 10   5 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2326) persons=more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2327) persons=4 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  291) doors=2 18   7 unacc (0.38888889 0.00000000 0.61111111 0.00000000)  
##                    582) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) lug_boot=med 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 58  28 unacc (0.48275862 0.00000000 0.51724138 0.00000000)  
##                146) buying=high 32   4 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                  292) doors=3,4,5more 27   1 acc (0.96296296 0.00000000 0.03703704 0.00000000)  
##                    584) safety=high 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    585) safety=med 9   1 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                     1170) doors=4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1171) doors=3 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2342) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2343) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  293) doors=2 5   2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                    586) safety=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) safety=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) buying=vhigh 26   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 78  25 unacc (0.32051282 0.00000000 0.67948718 0.00000000)  
##               74) safety=high 37  12 acc (0.67567568 0.00000000 0.32432432 0.00000000)  
##                148) doors=3,4,5more 27   5 acc (0.81481481 0.00000000 0.18518519 0.00000000)  
##                  296) maint=low,med 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) maint=high 9   4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##                    594) buying=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) buying=vhigh 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2 10   3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)  
##                  298) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 41   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 115   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 379   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 556   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[7]]
## $bindx
##    [1] 1413  254  295 1338  215 1202  131  416 1496  753   93 1334 1717
##   [14]  552  829 1129  464  691  303  753  752 1527  494  846 1644  315
##   [27]  960  514  368 1141  692  913   19  395 1247  675 1002 1278 1564
##   [40] 1660   65 1552 1262  983  387  288   47 1566 1268 1259  215  538
##   [53]  187  801 1318 1454  992  263  110  888 1035  471  805  323 1433
##   [66]   71  787 1270 1525  696 1256 1287 1057 1506  494 1426 1603  279
##   [79]  876  962  688 1064 1436 1409 1196  360 1496 1355  533 1491  561
##   [92]  452  393 1616  600  837 1041 1609 1517  967 1659  155  171  795
##  [105]  303  199 1165 1051 1290  252 1053  916 1170   84 1363 1590 1416
##  [118]  299  465  461  154 1528  663  756  833  361 1465   56  840 1481
##  [131] 1469 1639  984  140 1159 1182 1202 1436  587  752 1246 1359 1161
##  [144]  155 1452 1465 1154  756   96 1136 1559 1400 1087  851   18 1588
##  [157] 1334 1143  177 1706  202  495  245  891   30  179 1574  651  249
##  [170] 1137  996  391  830 1215  219 1634  710  652 1274  359  515 1147
##  [183]  368 1111  358 1575 1685  604  420 1218 1376  420  329  199  383
##  [196] 1533  387  392  498  393 1488 1725  389 1124  157  622 1558  184
##  [209] 1671  429 1294  624  297 1332  283  527 1166   98  373  556 1500
##  [222] 1148 1421 1144  353  794 1056   58 1048  520   43  238  941  204
##  [235]  490 1177 1727  345 1591 1637 1525  443  327 1188 1505  152  740
##  [248] 1470  836 1542  478 1278  672  398 1209  387  899 1330   73 1325
##  [261]  348  315 1270  525  178  279 1452  412 1726  509  516  507  794
##  [274] 1104   31 1216  947 1204 1004  320 1667 1643  375  247  695  136
##  [287] 1474 1088 1143 1623  657   20 1064 1407 1523  553  573  791 1162
##  [300]  919 1186  785   52 1644  534  157  798 1221 1125  198  318  566
##  [313] 1699 1293 1060  384  184 1643  457  785  620 1334  766  603  898
##  [326]  747  425 1466  492 1701 1390 1194  199 1045 1607 1269  891  361
##  [339]   21 1173  502  739  206  118 1099  408  785 1570  653  645  680
##  [352]  644 1385 1149  551 1434   80 1069  670  999 1265  484 1171 1058
##  [365]  615   73 1382 1095 1698 1622 1677  477  712 1593  545 1592 1728
##  [378]  148  862 1450  649   67  455 1491  225 1443 1257  605 1384  380
##  [391] 1014 1267  763 1420  533 1713  753  735  676   68  681  979  458
##  [404]  337 1596 1423 1508 1385  582 1092 1047  390  121  114  678 1229
##  [417]  843  870 1288  994  745  517 1474  692  821   65 1684 1254 1224
##  [430] 1672  562 1156 1396  571 1215  223  876 1319  814 1660  655 1458
##  [443] 1448  738  353  279  250 1289  676   72  828    6 1255 1562  704
##  [456] 1120  378  972 1057  525   45  659 1631  792  696 1275  457 1661
##  [469] 1307  890 1061  116  113 1687 1426  858 1687  982 1666 1003  532
##  [482]  152  508  150  369  397  803  745  309 1581  334  201   57  253
##  [495] 1527  434  294  362   21  861 1535 1696  931  228  388  633  406
##  [508]  492  840 1602 1149 1718   88 1696 1008 1655  383 1490  929 1633
##  [521]  833   84  621 1638  317  217 1615 1231  292 1048 1521 1247 1359
##  [534]  750  787  907 1511 1194  787  953  232 1121 1632  488 1459  454
##  [547]  142   64 1727  654 1312  215  322  331 1707  861  156  832  553
##  [560]  324  651  749 1182 1237  220  406 1397 1146  845  842  932  682
##  [573] 1602 1384 1139  410 1315  783 1351  794  704  972  347 1240  473
##  [586] 1171 1015  584  477  964  894  349 1609 1546  178 1159  861 1220
##  [599] 1334  989 1563  540 1129 1523 1311  432  622  370  422 1559  375
##  [612] 1455 1699 1725  390 1448  298  601  140  127 1214 1046  919  750
##  [625]  533 1430 1288 1718 1199 1452 1397  832   29 1405   82  796  815
##  [638]  322 1273  339  546 1071 1295  461  982 1465 1709  327  769  917
##  [651]   77  833 1307  191  764 1557 1602 1644  555 1045  941  459  897
##  [664] 1277  709  930  478  461  352 1727 1192  934    4  687  800 1101
##  [677]  924  735  232  537 1686  199   95  513  201  351 1535 1280  716
##  [690]   95 1647  811  463  193 1473 1330  969  928  765   43 1426   85
##  [703] 1524 1190 1516  513 1026  955 1566 1260  572 1094 1325  450  105
##  [716]  759  356  312 1032   79   78  119  637  548 1003 1520 1563 1450
##  [729]    4   96  491 1541 1522  322  164  320 1279  975 1549  437 1113
##  [742]  848 1032  464 1684  789  138  560 1718   30  215 1480 1495 1676
##  [755]  503 1190 1643 1451 1339   27  401 1561 1090 1484 1079 1416 1496
##  [768]  122  189  346  997  652  491 1628 1505  579 1579  310  702  743
##  [781]  402  969  321  551  270  180 1616  538  162  675  786 1057  482
##  [794]  693 1307 1390 1161  379  590 1558  609  319  354   28 1446  553
##  [807]  612  482  636 1481  583 1050  208  990 1639  710  702  723  301
##  [820] 1552 1430  618  893 1695  599  107 1541 1659 1192  705 1083 1157
##  [833] 1439 1429 1056 1393 1457 1524 1091 1062  858  267 1667  742  711
##  [846]   26  258  400  380  472   95 1462  373  945  103  824 1406  958
##  [859]   93  733 1678 1587  712  999   79 1458  421 1318 1352  657 1342
##  [872]  148   68 1229 1012  317  477  862 1302  201  254  353  685  503
##  [885] 1366 1204 1589 1402  145  313 1023 1389  201  272  424 1355 1614
##  [898] 1330  967 1721 1044    4  331 1519   56  737  836 1617  786  750
##  [911] 1632  101 1728  238 1392  230  718  892  395 1144 1057 1405  228
##  [924]  732  830   13  706 1683 1105  572  845  867  587 1433  644  426
##  [937]  692 1375  826 1342 1041  199 1367 1296 1199 1521  875  805 1384
##  [950]  331 1482 1138  130  280  716  565 1198 1445 1557  378 1300 1708
##  [963]  547  369 1101  689  109 1528 1665  899  961  204  671  406  399
##  [976]  148   59  797  508  497 1500  672  623  847 1657  656    1 1659
##  [989] 1148 1216  318  214  348 1041 1169 1392  381 1297 1450  304 1109
## [1002] 1078  358 1318   38 1302 1388   84  352  123 1067 1163 1442  759
## [1015]  567  111  369  955 1472 1454  745  137  780  635  648  950  249
## [1028]  283  662  141  145 1362 1650 1589  666 1311   72 1000  458 1609
## [1041]  146  370 1161  451  687  727 1385   22 1523  744 1520   73 1606
## [1054] 1181  843  957 1243 1385  104  236 1440  956  180  780  326 1501
## [1067]  651  904 1185 1335 1713 1241 1049 1287  166  518 1410  218  805
## [1080]  282  828 1040 1536 1449  565  533  910 1566  115  448 1179  388
## [1093]  610  580  198 1355  868  909 1150 1551  532  828  645  269 1328
## [1106]  897 1401 1187 1040  822 1668 1224 1577 1426 1443  679 1504 1645
## [1119]  508 1706  594  828  125  602 1470  879 1345  464 1181  750   19
## [1132] 1178  327  555 1535  961  285  592  875 1479  578  544  221  753
## [1145]  357 1445 1039 1608 1674  608 1124 1314  249 1080 1298  554  353
## [1158] 1071 1623 1203  792 1237  624 1430  302  535  110  982  242  462
## [1171]  925  467 1467  883  289 1400  384  385 1080  274  474  981  968
## [1184] 1444 1473 1023 1034  431  943  421  252  437  142 1284  239  752
## [1197] 1524  625  732  749  582  351  836  689  992   60 1659 1509 1217
## [1210] 1587 1554  490 1088   54 1535 1379  535  985 1234 1682 1119  222
## [1223]  150  904 1600 1601  660  560 1480  129  638  714 1694  416   15
## [1236]  467   89 1479 1447  632 1201  729   49 1625  871 1100  224 1110
## [1249] 1479  384  533  915   44 1263  791  209  871  875  129  855  729
## [1262]  448 1596  999  460  280  775 1679  470   32  221 1424 1503  136
## [1275] 1345  380  983  373 1319   71  734 1002  662 1242  131 1203 1093
## [1288] 1467  918  928  777  534   91  595  227  738  756 1227 1489 1277
## [1301]  883  849 1213  857   23  559  882 1353 1403 1529 1151 1066 1509
## [1314] 1113  857  461  426  768 1416 1389  229  413  424  868  826   52
## [1327]  346  483 1268 1266   11 1709  901 1303  728  823 1691  168  227
## [1340] 1430   82 1472  982 1142 1251  331  284  728  936  192 1342 1105
## [1353]  467  318 1338  206 1241  418 1372 1659  843 1109  661  230  756
## [1366]  925  835  478  333 1375  530 1062 1308  709  818  250  359 1045
## [1379]  896  415  346 1703  615 1492  515  990  624  630 1419   33 1606
## [1392]  360  958  460  755 1123  741  477 1626  311  128 1354 1007 1449
## [1405] 1382  975  640  542 1501  562 1178 1702  594 1050  277  446 1611
## [1418]    4   69 1169 1531  155 1075 1115 1176  285 1562  935  305 1418
## [1431]  795  851   65 1276  828  668  464  668 1547   85 1497 1638  298
## [1444] 1646  894  563  750 1197 1257  686 1699  395 1526  870    2  953
## [1457] 1166 1579  785   66 1657   71  303  524  101 1153 1088 1542 1351
## [1470] 1638 1482  865 1233    9  287 1334 1460 1052 1024  118 1275  969
## [1483]  433  341 1618  779  865  863 1151 1117 1379 1384  760  839  860
## [1496]  959  476  782 1321  246 1284  807  423  287 1631  345  104  977
## [1509]  478 1116 1074   38 1509 1108  411 1449 1265  168  974  896  854
## [1522]  574  291 1358 1630 1514   20   14 1396  541 1249   56  278 1654
## [1535] 1342  773   23  515  910  888  175  240 1012  224 1640 1466  922
## [1548]  558  690  465  459  293  437  297 1104  756 1421 1101  971  696
## [1561]  292  221  134 1406   48 1448 1193 1699 1398  648  561  236 1154
## [1574] 1185  103  430    6  511  935  224 1379 1196 1246   45  258  712
## [1587] 1159  287  671  574 1149  677 1592  720 1350  941 1239  619 1352
## [1600] 1289 1252 1222 1572 1200  924 1372   33   58 1090 1605 1177  966
## [1613] 1638 1722  623  454  752  975 1243  236 1557 1401 1541  613 1128
## [1626] 1653 1508  577 1365  305  608  800 1609   37 1011 1061 1034  879
## [1639]  322  274  320 1583  857 1625  456  254  721  890   64  279 1449
## [1652] 1047 1442   74  531 1118 1468 1439 1269 1046  827  558 1609 1473
## [1665]  429  546    9  670 1498 1260  319  793  369 1633  526   38  740
## [1678] 1314 1525 1288 1375 1380 1038  380 1021 1479 1466 1181 1266  443
## [1691] 1653  955  682  220  484  837  911  561  386  883  370  326  487
## [1704]  475  669  181 1175  656 1215 1662  723 1244  270  784  730  554
## [1717]  477  424  175  606 1481   71 1367  945 1133  608  642 1299
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 557 unacc (0.23900463 0.03819444 0.67766204 0.04513889)  
##      2) persons=4,more 1169 557 unacc (0.35329341 0.05645851 0.52352438 0.06672370)  
##        4) safety=high,med 797 384 acc (0.51819322 0.08281054 0.30112923 0.09786700)  
##          8) buying=low,med 389 179 acc (0.53984576 0.16966581 0.08997429 0.20051414)  
##           16) maint=high,vhigh 192  46 acc (0.76041667 0.00000000 0.14583333 0.09375000)  
##             32) lug_boot=big,med 124  20 acc (0.83870968 0.00000000 0.01612903 0.14516129)  
##               64) buying=med 60   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) buying=low 64  20 acc (0.68750000 0.00000000 0.03125000 0.28125000)  
##                130) safety=med 32   2 acc (0.93750000 0.00000000 0.06250000 0.00000000)  
##                  260) maint=high 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) maint=vhigh 8   2 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    522) doors=4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) safety=high 32  14 vgood (0.43750000 0.00000000 0.00000000 0.56250000)  
##                  262) maint=vhigh 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 20   2 vgood (0.10000000 0.00000000 0.00000000 0.90000000)  
##                    526) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    527) doors=3,4,5more 19   1 vgood (0.05263158 0.00000000 0.00000000 0.94736842)  
##                     1054) doors=3 8   1 vgood (0.12500000 0.00000000 0.00000000 0.87500000)  
##                       2108) lug_boot=med 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                         4216) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4217) persons=more 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                       2109) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1055) doors=4,5more 11   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 68  26 acc (0.61764706 0.00000000 0.38235294 0.00000000)  
##               66) safety=high 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               67) safety=med 35   9 unacc (0.25714286 0.00000000 0.74285714 0.00000000)  
##                134) maint=high 18   9 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  268) buying=low 10   1 acc (0.90000000 0.00000000 0.10000000 0.00000000)  
##                    536) doors=3,4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) buying=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 17   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 197 131 good (0.32487310 0.33502538 0.03553299 0.30456853)  
##             34) safety=med 86  32 acc (0.62790698 0.34883721 0.02325581 0.00000000)  
##               68) lug_boot=med,small 58  12 acc (0.79310345 0.17241379 0.03448276 0.00000000)  
##                136) lug_boot=small 28   2 acc (0.92857143 0.00000000 0.07142857 0.00000000)  
##                  272) doors=3,4,5more 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 10   2 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    546) persons=4 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) lug_boot=med 30  10 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                  274) doors=2 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) doors=3,4,5more 18   8 good (0.44444444 0.55555556 0.00000000 0.00000000)  
##                    550) persons=4 9   2 acc (0.77777778 0.22222222 0.00000000 0.00000000)  
##                     1100) doors=3 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1101) doors=4,5more 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                       2202) buying=med 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                         4404) maint=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4405) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2203) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    551) persons=more 9   1 good (0.11111111 0.88888889 0.00000000 0.00000000)  
##                     1102) buying=med 3   1 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                       2204) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2205) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1103) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) lug_boot=big 28   8 good (0.28571429 0.71428571 0.00000000 0.00000000)  
##                138) maint=med 12   4 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                  276) buying=med 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 16   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 111  51 vgood (0.09009009 0.32432432 0.04504505 0.54054054)  
##               70) lug_boot=small 38  12 good (0.18421053 0.68421053 0.13157895 0.00000000)  
##                140) buying=med 16   9 acc (0.43750000 0.31250000 0.25000000 0.00000000)  
##                  280) maint=med 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    560) doors=3,4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) doors=2 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1122) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1123) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) maint=low 6   1 good (0.00000000 0.83333333 0.16666667 0.00000000)  
##                    562) doors=3,4,5more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 2   1 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                     1126) persons=4 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 22   1 good (0.00000000 0.95454545 0.04545455 0.00000000)  
##                  282) doors=3,4,5more 16   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 6   1 good (0.00000000 0.83333333 0.16666667 0.00000000)  
##                    566) persons=4 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 73  13 vgood (0.04109589 0.13698630 0.00000000 0.82191781)  
##                142) doors=2 19  11 good (0.15789474 0.42105263 0.00000000 0.42105263)  
##                  284) lug_boot=med 11   3 good (0.27272727 0.72727273 0.00000000 0.00000000)  
##                    568) buying=med 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                     1136) maint=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 8   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 54   2 vgood (0.00000000 0.03703704 0.00000000 0.96296296)  
##                  286) doors=3 17   2 vgood (0.00000000 0.11764706 0.00000000 0.88235294)  
##                    572) lug_boot=med 6   2 vgood (0.00000000 0.33333333 0.00000000 0.66666667)  
##                     1144) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1145) persons=more 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    573) lug_boot=big 11   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  287) doors=4,5more 37   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 408 203 unacc (0.49754902 0.00000000 0.50245098 0.00000000)  
##           18) maint=low,med 220  53 acc (0.75909091 0.00000000 0.24090909 0.00000000)  
##             36) safety=high 119   4 acc (0.96638655 0.00000000 0.03361345 0.00000000)  
##               72) doors=3,4,5more 96   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) doors=2 23   4 acc (0.82608696 0.00000000 0.17391304 0.00000000)  
##                146) lug_boot=big,med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) lug_boot=small 8   4 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  294) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 101  49 acc (0.51485149 0.00000000 0.48514851 0.00000000)  
##               74) lug_boot=big,med 64  12 acc (0.81250000 0.00000000 0.18750000 0.00000000)  
##                148) doors=3,4,5more 51   3 acc (0.94117647 0.00000000 0.05882353 0.00000000)  
##                  296) doors=4,5more 40   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=3 11   3 acc (0.72727273 0.00000000 0.27272727 0.00000000)  
##                    594) lug_boot=big 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2 13   4 unacc (0.30769231 0.00000000 0.69230769 0.00000000)  
##                  298) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) lug_boot=med 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 37   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 188  36 unacc (0.19148936 0.00000000 0.80851064 0.00000000)  
##             38) maint=high 89  36 unacc (0.40449438 0.00000000 0.59550562 0.00000000)  
##               76) buying=high 51  15 acc (0.70588235 0.00000000 0.29411765 0.00000000)  
##                152) lug_boot=big,med 32   3 acc (0.90625000 0.00000000 0.09375000 0.00000000)  
##                  304) doors=3,4,5more 23   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) doors=2 9   3 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    610) safety=high 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) safety=med 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1222) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1223) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) lug_boot=small 19   7 unacc (0.36842105 0.00000000 0.63157895 0.00000000)  
##                  306) safety=high 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    612) doors=3,4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) doors=2 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1226) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) safety=med 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) buying=vhigh 38   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) maint=vhigh 99   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 372   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 559   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[8]]
## $bindx
##    [1]   46  210  131 1583 1240  122 1240  408 1635 1016  383  105   74
##   [14] 1320 1597 1634  815 1054  150  886 1627 1144 1598  262  406 1714
##   [27] 1024  835  404 1460  966  152  826 1699  996  910 1213 1162 1728
##   [40] 1424   93  540  800 1272  797  571    7  805 1096  787 1633 1674
##   [53]  868  444 1707  295  817  981 1020 1178 1280 1100 1119 1199  616
##   [66] 1538  412 1099  338 1342 1392  362 1123   60 1383  679 1624 1438
##   [79]  528 1648 1372  142 1150 1002  383  160  462 1344 1551  297 1183
##   [92]  848  263 1156  902 1588  584  163  195  443 1225 1268  953  249
##  [105]  479 1720 1607  161 1049 1254 1532  399 1696 1023   31 1264  891
##  [118]  896  756  849  493  670 1217  734  814  586  469  468  872 1163
##  [131] 1552 1714 1125 1695 1446 1694  378  500 1221 1679   24  656 1167
##  [144] 1081  938 1410 1458  374 1354 1037  641  781 1059   24 1558 1664
##  [157]  144  645  549 1023  157  242  520  226  143  805  926 1409  933
##  [170]    2  130 1013  575 1693  864 1475   93 1394  646  979  824  140
##  [183] 1251 1245 1727  201 1440  755  722  384 1471  528  786  569 1458
##  [196]  148  563  356  653  951  247  849  249  767 1394   98  789 1659
##  [209]  972  960  925 1342   90 1035  240  555 1188 1034 1481  312 1068
##  [222] 1077  503  825  322 1576  376  606 1664  382 1062 1454 1328  735
##  [235]  652 1548 1523  711  687 1325  120    3  934  288  672  530  357
##  [248]  728  240 1653 1228  549  192  291  904  408 1507   26 1226 1157
##  [261]  747  747  370  947 1206  207 1115  649 1185  286  438  227  726
##  [274]  468  579 1101 1043   49  888  106  330 1112  446  266  133  733
##  [287]  332 1478  518 1442  690 1100   84 1072  900  491  696 1570  189
##  [300]  203 1344  508 1320  220  482   13  306  397 1349  333  246  260
##  [313]  526  768  410  360  845  766  451  432  627   36  874  694  352
##  [326]  206  629  821 1163  924 1070  450  118   43   99  669  335 1262
##  [339]  136  650 1033 1422  175 1212 1187 1710 1657  570 1703  363  953
##  [352]  457  521 1263 1287  925 1263 1272 1564 1459   14 1115  945  396
##  [365]  769  522 1022 1076 1695  896  456  288 1023 1463 1147  172  654
##  [378]  956  920  874   96  573 1580 1725 1553  615 1046  757 1044 1628
##  [391]  116  224 1637  326 1662 1222  238  129  232 1067 1213  152 1274
##  [404]   67  204  547  132 1120  958   68  833 1063 1097 1463  179 1398
##  [417] 1623 1030  418  133  706  457 1436 1479 1489 1522  882 1306  537
##  [430]  563 1129 1586 1548  685  877  239   93  143  849 1290  999 1713
##  [443]  473 1093  621  643 1353  383 1652  430  458 1254  555 1612 1634
##  [456] 1573  328  678  209 1092  315  457  575  213  452  202 1077  552
##  [469] 1277 1679 1005  640  392  635  700  532   52  664  229 1669 1565
##  [482]  208  574  335  363  299 1443  364  172   62   41  236  239  274
##  [495]  722 1118  653  462 1651  591  545  711 1408  555 1373  993 1206
##  [508] 1014 1487  896 1462  389 1339 1190  545   24  323 1570 1021 1442
##  [521] 1648  725  227 1644  944  414 1422  821 1420  730  990  503  344
##  [534] 1452  196   13  116  178  480  860 1549  860  537  545   86  222
##  [547] 1660 1099  478  924  161 1583  833  892 1329  156 1290 1609 1385
##  [560]  310 1150 1259 1052 1054 1625  802 1187 1562  727  918 1692  440
##  [573] 1384 1303  537  551  861  353  356  975  389  712  420 1367  703
##  [586] 1192  868 1152 1238 1405 1553  938 1297  718 1044 1194 1098  953
##  [599] 1219  650 1715  913 1649 1329 1493 1388  368 1071 1433  312 1251
##  [612] 1211  527  649  198  618 1356   95  435  619 1302  693 1400  172
##  [625]  780 1440  423  668 1110  814  922 1335  447  606  761   62  246
##  [638] 1032  320  774  580 1492  141 1434  509  937  127 1723  299  824
##  [651]  104 1098  130  670  897   61   49   36   34  785 1175  228 1103
##  [664]   50  603 1418  453  307 1186  867 1355  603 1652  152 1309 1008
##  [677]  211  876  638   92  651 1271 1660 1381 1361  707  422  233 1567
##  [690]  909  738   25  842  274 1686 1155 1282 1105  146  210   74  645
##  [703] 1389  453 1455  621  205 1538   44  847  683 1025  484 1467  218
##  [716]  682  525   75  430  952  620 1566 1426 1550 1492 1407 1029 1220
##  [729]  916 1335 1507 1012 1544 1143  374 1609  767  737 1060  179  161
##  [742] 1205  490 1098 1610 1556  562  453 1357  942 1480 1575 1092 1296
##  [755] 1254  112  283 1413    6  416  713  284 1321  297  163 1394 1439
##  [768] 1364 1173  951  589  766  704  794 1571 1237  106  592  468  535
##  [781]  738 1055  658 1342 1416   42 1610 1573  803 1327  622 1135 1511
##  [794] 1166  493 1621  117  793  609  194  312  320  167  123  376   17
##  [807]  264 1654  330   86   86 1203 1429  178  133 1370 1029 1459 1482
##  [820]  583  729 1236  337 1662 1706  889  994 1166  777 1176 1177  607
##  [833]    4 1633  222 1190  906  745   33  946 1332 1677  393 1503 1259
##  [846]  892   93  574 1700  936 1367  462  846  818  759   52  137 1174
##  [859] 1342 1415 1385  736  234 1490   91 1495 1498   19  839 1265  584
##  [872] 1091 1019  903  356 1377 1103  224  944 1111 1513 1227 1484 1063
##  [885] 1489  956  455  279  917 1495  272  394  339  303  324   56 1579
##  [898]  656  167 1008  872  444   22 1675 1244  896 1521 1029 1389 1430
##  [911] 1675 1627   61 1055 1223 1186  396  166 1020   32 1717 1603 1049
##  [924]  431 1583  570   15  612  609  294 1099  955 1059  191  897  402
##  [937]  857  919 1303  917  989 1594  993  247  323  473  128  918  766
##  [950] 1488  592 1319 1203  464  471  858 1607  849 1476  388 1408 1680
##  [963]  461 1364 1137 1101 1254 1246 1566 1158  908 1578  619  244 1487
##  [976]   60 1003 1493 1076  372 1217 1304 1043 1355   55  230 1636 1378
##  [989] 1209 1456 1043 1466  707 1432  834  341  316  127  907 1516  645
## [1002] 1374 1596 1413  995  998 1040  899 1456  237 1429  316  306 1185
## [1015]  249 1540 1702 1335  742  257 1544  964  777 1164 1267 1274  696
## [1028] 1368  870  489 1091  370  174  150 1236  412 1498  267 1727  850
## [1041] 1584 1097  114  218  734  406 1704  984 1417 1470 1253 1553  386
## [1054]  897  847 1526  621  905  814  857  908  767 1683 1495  608  335
## [1067] 1246   17 1507 1311  178   83  189 1266 1591  190  945 1355  856
## [1080] 1262 1059  887  947 1414 1226  854  582 1354 1137 1467  790  917
## [1093] 1166 1653  392  888 1523  333  244 1156  834  236 1377  439 1317
## [1106]  179  268  139  686 1669  852 1139  973  999 1047 1349  934 1595
## [1119]   69  835 1640  261  991  953 1476   17  267 1646  714 1338  280
## [1132]  274   81 1252 1395  491 1272 1315  390 1452 1151  487  434 1331
## [1145]  277  200   53 1224  779 1503 1375  439 1623  529 1705  210  352
## [1158]  953  274  573  350 1126 1316  968  863  571 1544  197  129 1573
## [1171]  928  137 1135  774  764 1627 1704 1690  824  807 1040 1594 1515
## [1184] 1507 1447  741 1521 1461  844  688  739  667  578 1468 1322 1309
## [1197]  276 1308  938  255  767 1415  774  692 1091  390  128 1008  667
## [1210]  787 1532  537  490  248  325   14  234  929  473  792  956 1150
## [1223]   84  689  800 1549 1608 1541 1118   63  931 1706  802 1113  627
## [1236]  294 1560  675 1492  155  291 1292 1599 1207  290 1352  620 1633
## [1249]  953  449  488 1653  864  487 1537   78  292  950  821  849  916
## [1262]  276 1147  362  991 1302  701  349  959 1012  611 1514 1442  451
## [1275]  792 1348  805  684 1675 1636 1262  452   81 1437 1542  268  255
## [1288] 1511 1444 1533 1650  297 1457  609   88  761  878  799 1713 1241
## [1301] 1642 1686  222  627  410 1438  839  764  595  294  337    4  555
## [1314]   56   73  201 1449  177 1609  478 1041  119 1054 1273   77  160
## [1327] 1088  387 1213  502  458 1656  886 1609  145  608 1717  929  912
## [1340]   55  617  727 1724  460 1021 1675   21 1163  652  511 1662  381
## [1353]  390  299  211  341 1333 1463 1219 1671 1266  763  282  371 1398
## [1366] 1481 1059  884  855 1653  709 1091 1354 1192  934 1527 1104  709
## [1379] 1613 1687  942 1272  982  375 1638 1598 1228  646 1509  617 1344
## [1392]  662  534   81 1272  865  606 1689  842 1202 1303 1336 1042  930
## [1405] 1456  446 1457  486 1312 1049 1294  594 1081 1604 1046  601  948
## [1418] 1424 1602  400  372 1643  547  391  375  420  483  275 1070  880
## [1431] 1301 1378  725 1550  684 1331 1679  427  968  732 1289 1561 1568
## [1444] 1104 1420  229 1257 1415  116 1343  512   58 1044 1191 1722 1428
## [1457]  946 1606 1265  141  580  479   14  153 1568  460 1140 1283  418
## [1470] 1667  891 1224 1482 1458  757  147  983 1260   51 1678 1158 1596
## [1483]  958  228 1439  231  945  757    3  706  104 1575  866 1599  145
## [1496]  539 1679 1441 1446  506  219 1237 1444  359  544 1613    7   10
## [1509] 1033 1159   60  264  865  381 1319  443  418 1094  325 1322    6
## [1522]  130  219  671  146  920  241 1698  567 1667 1358   87  117  742
## [1535] 1044 1205  511  911  531  933 1549  358 1444  817  530 1520 1090
## [1548] 1340 1701 1219  696 1085  914 1649 1650  945 1306 1434  504  740
## [1561]  220 1087 1071  595  414 1328 1690  156  828 1575  593  478  618
## [1574]  549 1290 1309  220 1272  262   79 1195  883 1057 1476  983  331
## [1587]   12 1462  876  942  657 1408 1204 1341  510 1111  940 1128  617
## [1600]  273  192  485  534  318  601 1681 1277  477  858  664  870 1537
## [1613]  242  494 1083  967  843   66 1095  590 1023   93  565  394 1416
## [1626] 1240  194 1720 1433  474 1008  450 1724 1145  136  665  365  527
## [1639] 1137  886 1378  262 1648  435 1094  410  950 1263  822 1479  919
## [1652]  914 1153  375 1501  576  994  807  250  155 1589  303 1453    2
## [1665]  385 1292 1160 1236   14 1466   87  707  394  771 1455 1519  651
## [1678] 1613    3  757   48 1609 1034  922  977  936 1389 1159  769  489
## [1691]   89 1691 1014 1262  977 1188   12 1006 1085  249  127 1107  789
## [1704] 1401  268  808   90  364  735 1204 1100  259 1534  361  782 1618
## [1717]  382  659 1137 1576  158  988  550 1345 1689  925  438  379
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 504 unacc (0.22106481 0.04108796 0.70833333 0.02951389)  
##      2) persons=4,more 1104 504 unacc (0.34601449 0.06431159 0.54347826 0.04619565)  
##        4) safety=high,med 751 369 acc (0.50865513 0.09454061 0.32889481 0.06790945)  
##          8) buying=low,med 376 166 acc (0.55851064 0.18882979 0.11702128 0.13563830)  
##           16) maint=high,med,vhigh 285  93 acc (0.67368421 0.06315789 0.14736842 0.11578947)  
##             32) lug_boot=big,med 188  55 acc (0.70744681 0.07978723 0.03723404 0.17553191)  
##               64) maint=high,vhigh 136  23 acc (0.83088235 0.00000000 0.05147059 0.11764706)  
##                128) buying=med 78   5 acc (0.93589744 0.00000000 0.06410256 0.00000000)  
##                  256) doors=3,4,5more 64   2 acc (0.96875000 0.00000000 0.03125000 0.00000000)  
##                    512) doors=4,5more 42   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    513) doors=3 22   2 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                     1026) persons=more 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1027) persons=4 9   2 acc (0.77777778 0.00000000 0.22222222 0.00000000)  
##                       2054) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2055) lug_boot=med 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                         4110) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4111) safety=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  257) doors=2 14   3 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                    514) safety=high 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) safety=med 5   2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                     1030) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) buying=low 58  18 acc (0.68965517 0.00000000 0.03448276 0.27586207)  
##                  258) maint=vhigh 28   2 acc (0.92857143 0.00000000 0.07142857 0.00000000)  
##                    516) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    517) doors=2 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                     1034) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1035) safety=med 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2070) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2071) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  259) maint=high 30  14 vgood (0.46666667 0.00000000 0.00000000 0.53333333)  
##                    518) safety=med 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) safety=high 19   3 vgood (0.15789474 0.00000000 0.00000000 0.84210526)  
##                     1038) lug_boot=med 8   3 vgood (0.37500000 0.00000000 0.00000000 0.62500000)  
##                       2076) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2077) persons=more 6   1 vgood (0.16666667 0.00000000 0.00000000 0.83333333)  
##                         4154) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4155) doors=3,4,5more 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1039) lug_boot=big 11   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               65) maint=med 52  32 acc (0.38461538 0.28846154 0.00000000 0.32692308)  
##                130) safety=med 31  14 acc (0.54838710 0.45161290 0.00000000 0.00000000)  
##                  260) buying=med 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) buying=low 18   4 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                    522) doors=2,3 9   4 good (0.44444444 0.55555556 0.00000000 0.00000000)  
##                     1044) lug_boot=med 5   1 acc (0.80000000 0.20000000 0.00000000 0.00000000)  
##                       2088) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2089) persons=more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1045) lug_boot=big 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    523) doors=4,5more 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                131) safety=high 21   4 vgood (0.14285714 0.04761905 0.00000000 0.80952381)  
##                  262) doors=2 8   4 vgood (0.37500000 0.12500000 0.00000000 0.50000000)  
##                    524) lug_boot=med 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                     1048) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1049) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    525) lug_boot=big 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  263) doors=3,4,5more 13   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 97  38 acc (0.60824742 0.03092784 0.36082474 0.00000000)  
##               66) safety=high 45   9 acc (0.80000000 0.06666667 0.13333333 0.00000000)  
##                132) doors=3,4,5more 31   3 acc (0.90322581 0.09677419 0.00000000 0.00000000)  
##                  264) maint=high,vhigh 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  265) maint=med 7   3 acc (0.57142857 0.42857143 0.00000000 0.00000000)  
##                    530) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    531) buying=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                133) doors=2 14   6 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                  266) persons=4 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 52  23 unacc (0.44230769 0.00000000 0.55769231 0.00000000)  
##                134) maint=high,med 36  13 acc (0.63888889 0.00000000 0.36111111 0.00000000)  
##                  268) persons=4 21   3 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    536) maint=med 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) maint=high 9   3 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1074) buying=low 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1075) buying=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) persons=more 15   5 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                    538) doors=4,5more 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                     1076) buying=low 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1077) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    539) doors=2,3 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 16   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low 91  38 good (0.19780220 0.58241758 0.02197802 0.19780220)  
##             34) safety=med 42  19 good (0.42857143 0.54761905 0.02380952 0.00000000)  
##               68) lug_boot=small 14   1 acc (0.92857143 0.00000000 0.07142857 0.00000000)  
##                136) doors=3,4,5more 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  274) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) buying=low 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 28   5 good (0.17857143 0.82142857 0.00000000 0.00000000)  
##                138) doors=2 9   4 acc (0.55555556 0.44444444 0.00000000 0.00000000)  
##                  276) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) lug_boot=big 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) doors=3,4,5more 19   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 49  19 good (0.00000000 0.61224490 0.02040816 0.36734694)  
##               70) lug_boot=small 23   1 good (0.00000000 0.95652174 0.04347826 0.00000000)  
##                140) doors=3,4,5more 22   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 26   8 vgood (0.00000000 0.30769231 0.00000000 0.69230769)  
##                142) doors=2,3 13   5 good (0.00000000 0.61538462 0.00000000 0.38461538)  
##                  284) lug_boot=med 9   1 good (0.00000000 0.88888889 0.00000000 0.11111111)  
##                    568) persons=4 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 3   1 good (0.00000000 0.66666667 0.00000000 0.33333333)  
##                     1138) doors=2 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 13   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 375 172 unacc (0.45866667 0.00000000 0.54133333 0.00000000)  
##           18) maint=high,low,med 273 101 acc (0.63003663 0.00000000 0.36996337 0.00000000)  
##             36) safety=high 145  27 acc (0.81379310 0.00000000 0.18620690 0.00000000)  
##               72) maint=low,med 96   4 acc (0.95833333 0.00000000 0.04166667 0.00000000)  
##                144) doors=3,4,5more 76   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=2 20   4 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                  290) lug_boot=big,med 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) lug_boot=small 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    582) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 49  23 acc (0.53061224 0.00000000 0.46938776 0.00000000)  
##                146) buying=high 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) buying=vhigh 23   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 128  54 unacc (0.42187500 0.00000000 0.57812500 0.00000000)  
##               74) lug_boot=big,med 81  27 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                148) doors=4,5more 38   5 acc (0.86842105 0.00000000 0.13157895 0.00000000)  
##                  296) maint=low,med 23   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) maint=high 15   5 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    594) buying=high 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) buying=vhigh 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2,3 43  21 unacc (0.48837209 0.00000000 0.51162791 0.00000000)  
##                  298) lug_boot=big 23   6 acc (0.73913043 0.00000000 0.26086957 0.00000000)  
##                    596) maint=low,med 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) maint=high 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1194) buying=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) buying=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) lug_boot=med 20   4 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                    598) doors=3 9   4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##                     1196) persons=more 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                       2392) maint=low,med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2393) maint=high 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4786) buying=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4787) buying=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1197) persons=4 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    599) doors=2 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 47   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 102   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 353   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 624   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[9]]
## $bindx
##    [1]   17  847  947  380 1389 1383 1665  877  977  457  193 1074  806
##   [14]  147  258 1470  432  179 1272  710  179  446 1079  231 1591 1218
##   [27] 1482  279 1418 1365 1265  959  497 1272 1032  855 1376 1189 1366
##   [40]  822   79 1360   55 1194  964 1482 1337  549  556  806 1132  209
##   [53]  604 1679 1599  490  546  711 1621  885  142  584  578  368 1692
##   [66]  824 1417  587  469  869 1450 1613  673  351 1290  305 1707  405
##   [79] 1459  264  683  181    5  857  384 1356 1130  820  952 1482  536
##   [92]  939  102  362  957 1163  862  258 1612   67  174  200 1267 1643
##  [105] 1689 1472 1441  655 1346  301  386  430 1278 1644   54 1356  416
##  [118]   75  188 1126 1031 1631 1094 1707  124  705  351  726  481  246
##  [131] 1150  722  702 1231  614   79   34 1076 1251 1305 1327  893 1196
##  [144]   45 1306  833 1576  412 1311  767  632 1372  909  927  869 1295
##  [157]  368  278  809   41  727 1288 1650  197    8  938 1246  804  793
##  [170] 1021   73 1722  936   75  694  209 1582  881  129  871  991  312
##  [183]  308  419 1628  296  866 1228  909 1637  383  971 1312 1077  846
##  [196] 1113 1276 1524  659  529  573 1183  664  792  632  155 1063  565
##  [209] 1369 1272 1102 1481  498  875  325  941 1537 1017   54 1662 1203
##  [222]  814 1370 1551 1152 1255  445   64  198 1501 1070 1631 1217  445
##  [235]  246 1678  455 1297  644 1384  586  102 1619  264 1160  528  272
##  [248]  348 1345  640 1650  951 1152  240  208  175 1365 1039  388  108
##  [261]  468  279  807  472  682 1296  368  445  435 1251  521 1374  480
##  [274] 1444  184 1448  327  609 1380 1227  245 1168  834   27 1324  738
##  [287]  190  768  203  984 1462  943 1430  924  237 1667  191 1003   99
##  [300]  691    7  190  351 1659  172 1391 1313  170  265   55  598   13
##  [313] 1556 1390 1406  804  682  197  629  790  767 1083  276  390 1101
##  [326]  999 1240  335  181  124  336  530 1492   80  308  878  797  709
##  [339] 1393  510  467  155  388 1607 1043 1334  583  445 1554 1594  520
##  [352]   80 1334 1423  112 1714  670 1097 1096  569  535 1166  571  406
##  [365] 1619 1518 1565  204  331 1440  246 1475 1384   52 1141  555    2
##  [378] 1172   97 1329 1253  611 1438  274  317   98 1304  748 1322  123
##  [391]  960 1574  591 1034   61  270 1098 1443  743   85  200  103 1183
##  [404]  339  694  781   98  327 1613 1727 1672  849  193  836  704  441
##  [417]  858 1330  420  175 1163  168 1307  265  448  678 1119 1029 1431
##  [430]  695   70   39  212  520 1270   59  649  446   63  992  377    1
##  [443] 1719  862  574  506 1685  852 1168  429  521  916 1024  238 1326
##  [456] 1086 1487 1555  590   59 1079  411  695  424 1255    5 1555   26
##  [469]  347 1156  230  189 1517 1443 1178 1310  931 1265 1172 1642  631
##  [482] 1024 1174  999 1679  976 1462 1025 1298 1420  274 1450 1518 1205
##  [495]  956 1503 1693 1322  959  381 1568  418  659  124  317  877  876
##  [508]  105  654 1216 1624 1218 1623  484  944  497 1431  934  275  498
##  [521]  786 1645  440 1469  268  216  537  599  355  749  544   88  180
##  [534]  529  286  235 1022 1214 1116  781  426 1142   92  852  814  432
##  [547] 1323  939 1391 1503  754  374  616 1576  181 1210  865 1570  533
##  [560] 1581 1497 1500 1717  130  804 1497 1118 1504  178 1299  272 1669
##  [573]  448 1477  565 1653  271  299  983  506  168  890    3 1508 1173
##  [586]  401 1317 1525 1296  306 1032  503  240  782  912 1501 1701  122
##  [599] 1043 1589  450  845  924  276  992 1683 1292  237  120  110 1608
##  [612] 1555 1081  357 1178 1078 1294 1261  286 1146 1250  267  688  835
##  [625]  559  849  200 1438  195  498 1087  213   17 1471 1543 1071  239
##  [638]  561  200 1092 1411 1182  878  730  216  248  436  666  430 1704
##  [651] 1246  354  187 1716 1546  988  948 1488 1366 1718 1022  212  907
##  [664]  512  432 1507  544  461 1465 1280 1044 1415  558 1318   50 1543
##  [677]  388 1691 1354  290  157  248 1076  537 1473  309  767  623  483
##  [690]  820  488  503  902  630 1265 1720  115  905  569  575 1020  440
##  [703]  255  347  897 1310  989  747 1524 1030  841 1703  759 1570 1522
##  [716]  633  775  907 1482 1152  676 1649  680  767 1046  150  632 1002
##  [729] 1019  939 1072  793  904  749  487  995  157  902  536  139 1672
##  [742]  433  903  495  685   30  838  339 1556 1037 1148  473  583   38
##  [755]    4 1699 1337  635   77 1260 1121 1505 1664 1707  272 1359  346
##  [768]  434 1664 1397  785  396  921  697  197  909  352 1147 1429 1458
##  [781]  433 1622  844 1547  286   66  932  632 1174  998 1081  981  496
##  [794]  848  818  993  578  374  671  195  551 1378  574 1692  453  891
##  [807]  302  443 1518  810  234  664  439 1085 1452 1469   23 1271   93
##  [820] 1398 1209 1545  193  105  796  162  658  271  889  223  900  969
##  [833]  509  637   29 1595  931   89  407 1284 1036  233  939 1209 1351
##  [846]  870  502 1172 1665 1650  678   58 1453 1556 1192  606  898 1190
##  [859] 1552 1570  151 1577  449  516 1704  611 1633  969  988  869  758
##  [872]  694  803 1019  701  673 1292  787 1493 1063  857 1468  246   74
##  [885]  658 1077  335 1000  883  380  923  106 1668  191  732 1077  289
##  [898] 1647  997  296  439  199  448  675 1357  189 1200  809 1258 1026
##  [911]  290 1096 1158  709  221  830   11 1509 1567 1536  588 1664 1256
##  [924]  870  145  317 1201  322 1631 1590   72 1527  656 1539  825  982
##  [937]  261 1090   34  552  827 1064  813 1244 1300  881 1449  787 1713
##  [950]  518  969  916   25  773   24  682 1092 1184 1218  360  570 1564
##  [963] 1237 1542  953  745 1444 1485  691 1505  369 1260 1629  476  275
##  [976]  495 1255 1012  185 1234 1500  777  103 1062  588  866 1144  380
##  [989]  344 1363 1340 1360  734  759  206   83 1037 1033 1429  844 1269
## [1002]  764  114  289   54 1545 1343 1236 1095  569  884  507  197  434
## [1015]  801  374 1516  390  345 1239  642 1130 1045  459  760  540 1661
## [1028] 1233  756 1588  687 1137  947 1221  692  988 1529 1195  775 1383
## [1041]  600  542  449 1046  199  919  494  185  182  754 1451  355  272
## [1054]  868   72  463  797 1073  354  114  533 1079  276 1252   45 1515
## [1067] 1411  112  172   59   81  217  340  469  488  793  379  832  987
## [1080]  730  753  653 1198   56  711 1056 1571 1432 1522  576 1506  201
## [1093]  719 1723 1272 1338  164  716  729  607 1171  391  475  117  516
## [1106] 1480 1284  771  428  296  548  447 1015  632  605  132 1596  375
## [1119]    6  108 1398  260  376   47  883  903  590 1200 1203 1201 1452
## [1132] 1638 1393  312 1088  439 1052  207  655  851 1188 1253 1389 1264
## [1145] 1412  250  451 1480 1524  693   48   77 1494 1582  206  682  611
## [1158] 1410  622  950    9 1397   85  880  551 1186  983 1149 1388 1712
## [1171] 1457  845  769 1587  831  229  197 1156  222  197  695 1525 1688
## [1184]  719  296  591 1668  308  828  694 1537  558  279  360 1398  938
## [1197] 1526 1068  812 1268  944 1395 1362 1106 1652 1023  757  804  546
## [1210]  275 1553 1580  483   70 1359  927  963 1489  772  288  692 1200
## [1223] 1704 1383  735  898 1128 1612  258 1692 1373  950  237  378 1464
## [1236]  937  162 1514  711  247 1607  483  266  512 1638 1088  584  748
## [1249] 1598  610 1358 1090  392 1286  844 1380  516 1610 1181  843 1431
## [1262]  683   87  717  734  653  429 1245 1317 1153  629  753 1596  462
## [1275]  210 1461  233 1328  235 1543 1066  152   73 1491  853  876 1239
## [1288]  263  838 1529 1006 1535 1178 1293   63 1196  163 1156  448  589
## [1301] 1042  767  640 1036 1041  826 1392 1474 1408  691  858 1238 1415
## [1314] 1222  267  438  331  540  797  329 1067 1439 1485  667 1003  765
## [1327]  584 1472  221  586 1701  789 1157  811  461 1557  620  835  916
## [1340]  853 1280  615  722 1260 1218 1101  733 1572  920 1092  150  848
## [1353] 1657 1174 1296 1050  111 1056  320  977 1624  606  177  649 1308
## [1366]   57 1664 1476 1007  760 1446  389 1040  173 1516  189 1556  992
## [1379] 1552  800 1667  392 1112 1587  736  185   34  922   79  571  484
## [1392] 1400  830  398 1298  766  519  139   38  199  925  321  858 1049
## [1405] 1061 1698  639  826 1206 1618 1378 1387   64 1679  892  587  763
## [1418] 1517  859  725   81 1045  899 1210  504  372 1263  292  912  866
## [1431] 1267  679 1031  158  515  251 1547  728 1532  489 1618  533  123
## [1444]  374  123  394  330  778 1211  292  724  681 1542  189  252  786
## [1457]  471 1618  561  354 1490  269 1360 1694 1503 1010  778 1490  738
## [1470] 1722  885  884  837  461   58 1443 1665 1570 1280  109  914  320
## [1483]  351   21  293  654  777  460  377 1003  722  759 1481  153 1041
## [1496]  264  724  579 1123 1501  108   35  859 1578  570  663 1554 1369
## [1509] 1727  874  333 1175 1479 1331  364 1177  600 1494 1304  654  576
## [1522]  276  185 1180  348  269 1599  303  293  938 1179  742 1508   24
## [1535]  618 1279 1432  281   68  910  662 1493 1332  383 1719  126  691
## [1548] 1536  746  303 1261 1343   94 1651 1346  941 1473  676  190  249
## [1561]  455  971  570  415 1536 1684  661  669  192   71 1678  156   30
## [1574]  518  464  280  507  351  678 1246 1003 1517  507 1621  134  597
## [1587]  956 1149 1362  288  575 1479  978 1092  297 1102 1274 1497 1103
## [1600]  177 1101  745 1066   61  694  726 1513  347 1543  363 1119  857
## [1613]  438  885  280  848 1113  455 1699 1706 1156   40  208 1123 1303
## [1626]  184 1438 1693  658   73 1397  676  214  459 1484 1110 1547  529
## [1639] 1181  260 1077  260 1689  955 1414  336 1357  869   61 1121 1613
## [1652] 1672  783 1426 1594  440  511  559  483 1446  317 1017  821 1502
## [1665]  498  907  427 1399   41  272 1695 1105  734  609 1203  231 1592
## [1678]  445  130 1241 1502   88  851  906  286 1406  737 1214  131  465
## [1691] 1089   10  116  383 1493 1341 1524 1290 1121  338 1435 1289 1104
## [1704] 1064 1414 1051  585  900  366  792 1104  591  953  396 1595  666
## [1717]  223 1128  477  938  714 1452   84  125  571  363 1598  835
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 512 unacc (0.21643519 0.04224537 0.70370370 0.03761574)  
##      2) persons=4,more 1163 512 unacc (0.32158212 0.06276870 0.55975924 0.05588994)  
##        4) safety=high,med 800 426 acc (0.46750000 0.09125000 0.36000000 0.08125000)  
##          8) buying=low,med 391 194 acc (0.50383632 0.18670077 0.14322251 0.16624041)  
##           16) maint=high,vhigh 206  70 acc (0.66019417 0.00000000 0.24271845 0.09708738)  
##             32) lug_boot=big,med 122  28 acc (0.77049180 0.00000000 0.06557377 0.16393443)  
##               64) buying=med 62   4 acc (0.93548387 0.00000000 0.06451613 0.00000000)  
##                128) doors=3,4,5more 50   1 acc (0.98000000 0.00000000 0.02000000 0.00000000)  
##                  256) doors=4,5more 37   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 13   1 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                    514) safety=high 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) safety=med 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                     1030) persons=more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) persons=4 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) doors=2 12   3 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                  258) lug_boot=big 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                    518) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) safety=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 60  24 acc (0.60000000 0.00000000 0.06666667 0.33333333)  
##                130) safety=med 29   4 acc (0.86206897 0.00000000 0.13793103 0.00000000)  
##                  260) doors=4,5more 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2,3 14   4 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                    522) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) lug_boot=med 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                     1046) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) persons=4 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                       2094) maint=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2095) maint=vhigh 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) safety=high 31  11 vgood (0.35483871 0.00000000 0.00000000 0.64516129)  
##                  262) maint=vhigh 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 22   2 vgood (0.09090909 0.00000000 0.00000000 0.90909091)  
##                    526) doors=3 4   2 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                     1052) lug_boot=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) lug_boot=big 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=2,4,5more 18   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 84  42 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##               66) safety=high 41   6 acc (0.85365854 0.00000000 0.14634146 0.00000000)  
##                132) doors=3,4,5more 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 10   4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  266) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 43   7 unacc (0.16279070 0.00000000 0.83720930 0.00000000)  
##                134) buying=low 17   7 unacc (0.41176471 0.00000000 0.58823529 0.00000000)  
##                  268) maint=high 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 26   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 185 112 good (0.32972973 0.39459459 0.03243243 0.24324324)  
##             34) safety=med 87  40 acc (0.54022989 0.44827586 0.01149425 0.00000000)  
##               68) lug_boot=med,small 54  13 acc (0.75925926 0.22222222 0.01851852 0.00000000)  
##                136) lug_boot=small 25   1 acc (0.96000000 0.00000000 0.04000000 0.00000000)  
##                  272) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    546) maint=low 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) maint=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) lug_boot=med 29  12 acc (0.58620690 0.41379310 0.00000000 0.00000000)  
##                  274) doors=2,3 14   1 acc (0.92857143 0.07142857 0.00000000 0.00000000)  
##                    548) maint=med 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    549) maint=low 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                     1098) buying=low 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1099) buying=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2198) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2199) doors=3 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  275) doors=4,5more 15   4 good (0.26666667 0.73333333 0.00000000 0.00000000)  
##                    550) maint=med 8   4 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1100) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1101) buying=low 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    551) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) lug_boot=big 33   6 good (0.18181818 0.81818182 0.00000000 0.00000000)  
##                138) buying=med 13   6 good (0.46153846 0.53846154 0.00000000 0.00000000)  
##                  276) maint=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 20   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 98  53 vgood (0.14285714 0.34693878 0.05102041 0.45918367)  
##               70) lug_boot=small 39  16 good (0.28205128 0.58974359 0.12820513 0.00000000)  
##                140) buying=med 24  13 acc (0.45833333 0.33333333 0.20833333 0.00000000)  
##                  280) maint=med 14   3 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                    560) persons=4 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) persons=more 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1122) doors=3,5more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1123) doors=2 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) maint=low 10   2 good (0.00000000 0.80000000 0.20000000 0.00000000)  
##                    562) doors=3,4,5more 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 5   2 good (0.00000000 0.60000000 0.40000000 0.00000000)  
##                     1126) persons=4 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 15   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               71) lug_boot=big,med 59  14 vgood (0.05084746 0.18644068 0.00000000 0.76271186)  
##                142) doors=2,3 27  14 vgood (0.11111111 0.40740741 0.00000000 0.48148148)  
##                  284) lug_boot=med 16   5 good (0.18750000 0.68750000 0.00000000 0.12500000)  
##                    568) buying=low 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=med 8   5 acc (0.37500000 0.37500000 0.00000000 0.25000000)  
##                     1138) maint=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1139) maint=low 5   2 good (0.00000000 0.60000000 0.00000000 0.40000000)  
##                       2278) doors=2 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2279) doors=3 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 11   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 32   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 409 177 unacc (0.43276284 0.00000000 0.56723716 0.00000000)  
##           18) maint=low,med 207  61 acc (0.70531401 0.00000000 0.29468599 0.00000000)  
##             36) lug_boot=big,med 130  11 acc (0.91538462 0.00000000 0.08461538 0.00000000)  
##               72) doors=3,4,5more 98   3 acc (0.96938776 0.00000000 0.03061224 0.00000000)  
##                144) doors=4,5more 56   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=3 42   3 acc (0.92857143 0.00000000 0.07142857 0.00000000)  
##                  290) buying=vhigh 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) buying=high 16   3 acc (0.81250000 0.00000000 0.18750000 0.00000000)  
##                    582) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) lug_boot=med 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1166) persons=more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1167) persons=4 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) doors=2 32   8 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                146) safety=high 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) safety=med 12   4 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                  294) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) lug_boot=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 77  27 unacc (0.35064935 0.00000000 0.64935065 0.00000000)  
##               74) safety=high 34   7 acc (0.79411765 0.00000000 0.20588235 0.00000000)  
##                148) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 10   3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)  
##                  298) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 43   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 202  31 unacc (0.15346535 0.00000000 0.84653465 0.00000000)  
##             38) buying=high 97  31 unacc (0.31958763 0.00000000 0.68041237 0.00000000)  
##               76) maint=high 46  15 acc (0.67391304 0.00000000 0.32608696 0.00000000)  
##                152) lug_boot=big,med 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                153) lug_boot=small 24   9 unacc (0.37500000 0.00000000 0.62500000 0.00000000)  
##                  306) safety=high 11   2 acc (0.81818182 0.00000000 0.18181818 0.00000000)  
##                    612) doors=3,4,5more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1226) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) safety=med 13   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 51   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 105   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 363   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 565   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[10]]
## $bindx
##    [1] 1241 1639 1705 1035  347 1055  880 1523  174  469  563 1514  585
##   [14] 1303  786 1718  671   77  922 1160 1227 1208 1288  572  531  771
##   [27] 1287  764 1481 1497   46 1128 1361    2  622  185  300  889  442
##   [40]  565  626 1041 1143 1436  952  483 1038 1452 1716  489 1711  933
##   [53] 1102 1114  419  905  708 1034  387  682   64  191 1189 1560  383
##   [66]  728  621 1147  198  868   40 1025  806 1188 1594 1211  197 1630
##   [79]  779  368 1043 1181  134  188 1204  665 1656 1480  879  127  324
##   [92] 1230  840 1170  287  575  778 1496  919 1435 1219  799 1407 1130
##  [105]  484 1614 1500 1291  824  204 1352 1077  529  349  931  983 1169
##  [118] 1232 1643 1344  753  134  959  861  878 1214  652 1027  761  868
##  [131]  405  852 1409 1106 1584 1419  791  594   72 1601  359  815 1621
##  [144] 1077   82 1425  468  982  584 1004  232 1677 1426  550  765  498
##  [157] 1534   20 1679  923 1518   70  984  880  325  365  416 1056  310
##  [170]  964 1268 1272 1531  871 1004 1590  333 1376 1615  534 1480  687
##  [183] 1017 1299  418 1106   83 1687  117  925  791 1696  367 1493 1206
##  [196] 1652 1555  485  361  549 1222  611 1437 1463  155  407  506 1109
##  [209]   75 1398 1111  608  768 1044 1067  328 1618 1158 1663  678  604
##  [222] 1340  457 1715 1060  304  826  494 1050  377  388  286  839  217
##  [235]  868  955  187  608  879 1056  468  952 1475 1677 1162  187  534
##  [248] 1255 1564  729  229  622 1215 1059  977  834 1416  203  679  675
##  [261] 1497  139  508 1363 1120   14   42  758  980  752 1093  894  300
##  [274]  792  634 1007  645  767 1714  986 1101 1611 1692  291 1208 1579
##  [287] 1442  117  190   95  337  264 1641  114  905  274  291  971 1615
##  [300]  529  918  637  788 1473 1439  292  631 1038 1543  813 1372  223
##  [313] 1365 1133 1696   19 1137 1455 1447  674  414 1270 1053  626   60
##  [326]  294 1003 1423  199  857  714  651   19 1717  350 1624  752 1353
##  [339]  848  857 1242  623 1106  135  202  923  258 1693  370 1678  414
##  [352] 1461 1302  689 1181  122  483  965  644 1717 1095 1376  557 1541
##  [365]  637  295 1110  355  958  552  207 1245 1622  715  758  377  334
##  [378] 1563  928 1120 1541  497 1033 1226 1699  425 1321 1335   98  212
##  [391] 1152  340  640 1338  927 1074 1290 1694 1465 1479  777   30   57
##  [404] 1466  193   82  735  160  925 1582  815 1195  871   74 1247 1714
##  [417]  149 1586  613  425  213    6 1133   84  703 1417 1498  738  533
##  [430] 1295 1045  854  736 1157  209  461  656  212  287    4  641 1506
##  [443]  594  711 1435 1583  333 1501 1259  314  584  982  326  896   80
##  [456] 1306  518  568  146 1077 1030  503  921 1271 1130  534 1248  902
##  [469]  526  860 1007 1234  972 1286 1193    7 1583 1662 1696  787  370
##  [482]  182 1534 1449  343 1175 1554  738 1449  825  811 1477 1459  493
##  [495] 1376  943  156  715  662  136   49  971  160  519  505 1029 1073
##  [508]  231 1147  871 1190  871 1124   14 1237 1475 1718  669 1238  614
##  [521] 1449 1462 1352 1041  756 1532  843   78  889 1675   80  343  117
##  [534]  723   67  826 1574  242  282 1482  204   67  523  584  541  544
##  [547]  829 1587 1043  242  507  765 1398  959  761 1172  232 1136  196
##  [560]  344  267  963  306 1151 1720 1092 1608  530   69 1080 1474  445
##  [573] 1580  711 1436  594  415 1186 1555 1690 1213  181   19 1241  858
##  [586]  251  512  718 1269  532  603  978 1125 1368 1089 1315 1506  233
##  [599] 1402  739  994  505  804 1594  602  755 1431 1567  178 1456 1420
##  [612] 1689 1356 1201  662   10 1207 1657 1679 1492   46 1364  774  238
##  [625] 1339  476  208  226 1656 1616 1424  787  450  944  451  882  201
##  [638]  156  668 1354   86 1511  445  737 1036  449 1258  388  212  115
##  [651] 1002 1469 1307  391  703  324 1272 1663  348  458  208  495 1546
##  [664] 1552 1641 1138  974  461  673 1334  756  713 1022 1364  631 1013
##  [677]  921  190 1447 1379 1359 1560  590  868  711  271 1515 1431  448
##  [690] 1352 1529 1367  798 1033  961  865  393 1521 1432  451 1361  385
##  [703]  679  795  961   77 1183  249 1629  863 1508  340 1672 1518  754
##  [716]  929  981  871 1445 1606  671  883 1496   21 1434  207  745  784
##  [729]  579  192  229  581  673 1018   43 1494 1002 1377 1114  734 1470
##  [742]  365  681  245  886 1682  657  417   48  246  671 1293  864 1451
##  [755] 1622  748 1157 1701  336  668  671  629  408 1426  381  560  679
##  [768]  632 1162  256  302 1218  664  224 1187  589   90  938  707  951
##  [781]  916 1692 1136  506  224  366  228  582 1544 1142  715   76  132
##  [794] 1646  281  583 1118  296  701  242 1014 1566  284  570  478 1555
##  [807]  279  467  290 1288  462  961 1340 1099  986 1322 1363 1335 1371
##  [820] 1238 1362 1109  323 1213 1585  808  150 1043  376 1463  284 1014
##  [833]  710 1602 1544 1206 1431 1447  313   74 1050  923 1158 1319  834
##  [846]  983  770 1476  378  588 1191  200  348  130 1453  660 1227  887
##  [859]  910  594 1026  657  455  766 1695 1610  872 1447 1632 1343  983
##  [872]  799  824  152  531  299  576  180  822  325  924 1133  855  468
##  [885]  714  645 1443  381  836  655  130 1530 1115  618 1484  155  593
##  [898]  970  945  970  128 1474 1388  958  269  361 1286  399 1436 1201
##  [911] 1496 1161   35 1071 1403 1223  628 1663  783   68  651 1215  701
##  [924]  900  525 1618   83 1622 1458  573 1442  422 1033 1430 1702 1438
##  [937] 1723 1063 1128 1165  927  155 1095 1257 1207 1166 1716  564  407
##  [950] 1447  844 1460 1597  336  447  415  865  214 1689  271   88 1533
##  [963]  939 1606 1515 1267 1108 1154 1613  199  281  686    2 1398   32
##  [976]  773   89 1013  946  361  879 1397 1345  898   94 1585   96  367
##  [989]  284 1367  316  554 1001  733  191  481  499 1262  196  128  401
## [1002] 1270 1600 1698 1232 1178  624  967  827  931 1452  933  879 1432
## [1015]  668 1416  667  907 1212 1422  512  985 1064  271  208  581 1628
## [1028]   44  446  132  699  410  676 1176  499 1531  354  646 1607  592
## [1041] 1550  351 1569 1028 1104  582  255 1519 1104 1201 1177 1717 1724
## [1054]  744 1056 1196 1529 1198  383 1089 1226  701  888 1419 1231  302
## [1067]  875  609  673  770 1696  516  991  542  683 1129 1269  245  332
## [1080]  150 1566  163  860  744  963  666 1645 1159 1229 1564  224 1072
## [1093]  644   36  314  566 1455 1180  371 1327 1193  442  120  190  746
## [1106]  760  634 1375  870 1199 1516  379  282  553 1109  546  110 1440
## [1119]  248    9  414 1656 1207  898 1011  438 1554 1449  310  155  803
## [1132] 1591 1608 1347 1401 1597  300  303  792 1326  928  202 1435 1090
## [1145] 1291  143 1171  175  926  983  169 1065 1332 1161  222   30  834
## [1158]  783  898  210  849  505  100   62  363 1679   94 1107  346  812
## [1171] 1140  440   42  278  803 1322  989 1683  958 1413 1276 1554  698
## [1184]  306 1563 1230 1504  218 1277 1637  137  170 1153 1121  589 1329
## [1197]  443  444  726 1151  929 1364  347  151 1337 1373  162    5  718
## [1210]  582  113  282 1232  443  273  796  572 1361  401 1236 1637 1451
## [1223] 1445  128  114 1231   75 1058  224 1489  320  155   47  787 1253
## [1236]  610 1512 1569 1000  897 1062  619  675  771  221 1670   82  976
## [1249] 1229 1561 1111 1677  726  245  489 1468 1679 1203   81  650  666
## [1262] 1283 1213   60 1273  779  534  397 1172 1058  769  258 1687  701
## [1275]  683  623 1655 1667  223 1578 1686  816 1394 1532  364    1 1128
## [1288] 1551 1131  116  676   26  574 1588 1157  951  864  773  860 1684
## [1301]  352  681  728 1707 1209  835  469  715  815  278  704 1113  811
## [1314]  572  159 1356  414 1646   38 1298  575  967  321   74 1357 1687
## [1327] 1045  645  676  254  399  129  622 1351   61 1555 1523  829  398
## [1340]  391 1020  854   70   57  576  682   81 1084  972 1273   63 1698
## [1353]  883 1558 1297 1348 1274 1131  322 1642  562 1033  664  426  265
## [1366] 1146  664  982 1210  997  741  886  743  390  385  370 1632 1495
## [1379]  346  351 1710  745  767 1027 1402 1699  517  781  639 1221 1598
## [1392]  865 1683 1090 1063 1501  164 1469 1396  521 1457  690 1156  380
## [1405] 1406  548 1491 1023  901   74 1017 1023  746 1193 1386 1362  717
## [1418]  311  438  126  824 1708 1389  902 1535  250  505 1711  321  956
## [1431]  963  367  837    1 1674 1357 1301  264 1634  577 1635 1614 1525
## [1444]  498 1087 1529  366 1665  295   69  145  460   89 1315  206  136
## [1457] 1216  583  274  548  286  405   66 1064 1385  515  641   73  953
## [1470]  614  415   17 1177  559  956   87 1454  428 1498 1680   48 1200
## [1483]  784  245 1299  727  947  559  797  535 1105  435   28  312 1061
## [1496]  903 1181 1320   16 1379 1228  239  203  685 1208   23  317 1262
## [1509] 1430  648 1679 1499  388 1669 1063 1264 1282   48  258   19  406
## [1522] 1188  565 1450 1064 1307  450  791 1555  928   20  890  246 1469
## [1535]  256  314  574 1672 1418 1084 1377  336 1376 1289  604  389   83
## [1548]  328  472 1515  364  399  659  299  873 1298  734  345  655 1038
## [1561]  709  669 1640  258 1105    6   51  497 1494 1286  879 1436  665
## [1574]   17  686 1009 1611  708 1575  559 1494 1645 1338  108 1596 1197
## [1587] 1704   64 1395  722  243  667 1467  834 1660  781  119 1614  905
## [1600] 1635 1053  369  594 1164 1285 1491  284 1689  932 1141 1690 1080
## [1613]  213  428 1706 1453  319 1333  922  479  929 1105  714  825  105
## [1626] 1209  958 1013    2 1228  567  630  416 1544 1349  152  137 1262
## [1639]  914 1614 1350 1119  385  469  347  882  476  351 1239 1507  359
## [1652]  756  835   94 1513 1418  752  928  957 1589  494 1342 1423 1299
## [1665]  355  932  656  705 1338 1711  561  131  269  449    2 1023 1525
## [1678]  182 1241  684 1103 1461 1634  185  344 1051  642 1360  288 1160
## [1691] 1510  351  744 1560  672 1184  196 1037  668 1192  594   21  392
## [1704]  865  204  878  400    7   48  615  489  543 1560 1095  151  979
## [1717] 1601  219 1564 1332  770 1059 1318  438  609  646 1042 1652
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 525 unacc (0.23032407 0.03761574 0.69618056 0.03587963)  
##      2) safety=high,med 1149 525 unacc (0.34638816 0.05657093 0.54308094 0.05395997)  
##        4) persons=4,more 776 378 acc (0.51288660 0.08376289 0.32345361 0.07989691)  
##          8) buying=low,med 386 182 acc (0.52849741 0.16839378 0.14248705 0.16062176)  
##           16) maint=high,vhigh 201  59 acc (0.70646766 0.00000000 0.21393035 0.07960199)  
##             32) safety=high 101  17 acc (0.83168317 0.00000000 0.00990099 0.15841584)  
##               64) buying=med 49   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) buying=low 52  17 acc (0.67307692 0.00000000 0.01923077 0.30769231)  
##                130) maint=vhigh 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) maint=high 30  14 vgood (0.43333333 0.00000000 0.03333333 0.53333333)  
##                  262) lug_boot=small 12   1 acc (0.91666667 0.00000000 0.08333333 0.00000000)  
##                    524) doors=3,4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) doors=2 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1050) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1051) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) lug_boot=big,med 18   2 vgood (0.11111111 0.00000000 0.00000000 0.88888889)  
##                    526) doors=2 6   2 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1052) lug_boot=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) lug_boot=big 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=3,4,5more 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) safety=med 100  42 acc (0.58000000 0.00000000 0.42000000 0.00000000)  
##               66) lug_boot=big 29   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               67) lug_boot=med,small 71  29 unacc (0.40845070 0.00000000 0.59154930 0.00000000)  
##                134) buying=low 34  12 acc (0.64705882 0.00000000 0.35294118 0.00000000)  
##                  268) maint=high 19   1 acc (0.94736842 0.00000000 0.05263158 0.00000000)  
##                    536) doors=3,4,5more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1074) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1075) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) maint=vhigh 15   4 unacc (0.26666667 0.00000000 0.73333333 0.00000000)  
##                    538) lug_boot=med 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1076) doors=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1077) doors=2,3 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    539) lug_boot=small 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 37   7 unacc (0.18918919 0.00000000 0.81081081 0.00000000)  
##                  270) lug_boot=med 18   7 unacc (0.38888889 0.00000000 0.61111111 0.00000000)  
##                    540) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    541) doors=2,3 13   2 unacc (0.15384615 0.00000000 0.84615385 0.00000000)  
##                     1082) persons=more 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                       2164) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2165) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1083) persons=4 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  271) lug_boot=small 19   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 185 120 good (0.33513514 0.35135135 0.06486486 0.24864865)  
##             34) safety=med 92  41 acc (0.55434783 0.38043478 0.06521739 0.00000000)  
##               68) lug_boot=small 28   6 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                136) doors=3,4,5more 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                  274) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 64  29 good (0.45312500 0.54687500 0.00000000 0.00000000)  
##                138) maint=med 33  10 acc (0.69696970 0.30303030 0.00000000 0.00000000)  
##                  276) buying=med 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 11   1 good (0.09090909 0.90909091 0.00000000 0.00000000)  
##                    554) persons=more 3   1 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                     1108) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) doors=4,5more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) persons=4 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 31   6 good (0.19354839 0.80645161 0.00000000 0.00000000)  
##                  278) lug_boot=med 12   6 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    556) doors=2 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) doors=3,5more 8   2 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                     1114) persons=4 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2228) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2229) doors=5more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1115) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) lug_boot=big 19   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 93  47 vgood (0.11827957 0.32258065 0.06451613 0.49462366)  
##               70) lug_boot=small 32  12 good (0.18750000 0.62500000 0.18750000 0.00000000)  
##                140) doors=3,4,5more 22   5 good (0.22727273 0.77272727 0.00000000 0.00000000)  
##                  280) buying=med 9   4 acc (0.55555556 0.44444444 0.00000000 0.00000000)  
##                    560) maint=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 13   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 10   4 unacc (0.10000000 0.30000000 0.60000000 0.00000000)  
##                  282) persons=4 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                    564) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    565) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 61  15 vgood (0.08196721 0.16393443 0.00000000 0.75409836)  
##                142) doors=2,3 32  15 vgood (0.15625000 0.31250000 0.00000000 0.53125000)  
##                  284) lug_boot=med 20  10 good (0.25000000 0.50000000 0.00000000 0.25000000)  
##                    568) persons=4 12   3 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                     1136) buying=med 6   3 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2272) maint=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 8   3 vgood (0.25000000 0.12500000 0.00000000 0.62500000)  
##                     1138) doors=2 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                       2276) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2277) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 29   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 390 194 unacc (0.49743590 0.00000000 0.50256410 0.00000000)  
##           18) maint=low,med 209  53 acc (0.74641148 0.00000000 0.25358852 0.00000000)  
##             36) safety=high 99   4 acc (0.95959596 0.00000000 0.04040404 0.00000000)  
##               72) doors=3,4,5more 71   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) doors=2 28   4 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                146) lug_boot=big,med 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) lug_boot=small 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                  294) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 110  49 acc (0.55454545 0.00000000 0.44545455 0.00000000)  
##               74) lug_boot=big,med 80  19 acc (0.76250000 0.00000000 0.23750000 0.00000000)  
##                148) doors=3,4,5more 55   4 acc (0.92727273 0.00000000 0.07272727 0.00000000)  
##                  296) doors=4,5more 40   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=3 15   4 acc (0.73333333 0.00000000 0.26666667 0.00000000)  
##                    594) persons=more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=4 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                     1190) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1191) lug_boot=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2 25  10 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  298) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) lug_boot=med 15   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 30   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 181  38 unacc (0.20994475 0.00000000 0.79005525 0.00000000)  
##             38) buying=high 85  38 unacc (0.44705882 0.00000000 0.55294118 0.00000000)  
##               76) maint=high 49  11 acc (0.77551020 0.00000000 0.22448980 0.00000000)  
##                152) safety=high 27   1 acc (0.96296296 0.00000000 0.03703704 0.00000000)  
##                  304) doors=3,4,5more 23   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    610) lug_boot=big,med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) lug_boot=small 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1222) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1223) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) safety=med 22  10 acc (0.54545455 0.00000000 0.45454545 0.00000000)  
##                  306) lug_boot=big,med 16   4 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    612) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) lug_boot=med 9   4 acc (0.55555556 0.00000000 0.44444444 0.00000000)  
##                     1226) doors=4,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) doors=2,3 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                       2454) persons=more 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4908) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4909) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                       2455) persons=4 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) lug_boot=small 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 36   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 96   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 373   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 579   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[11]]
## $bindx
##    [1] 1695  789 1688 1177 1372   59  668 1229 1274 1603 1004 1587  109
##   [14]   11   54  289  704   77 1209  111    4  414  382  741  957 1533
##   [27]   63  496 1194 1665  502  685 1671  341 1257 1139  244  777 1329
##   [40] 1276 1697  740  701 1325   79  774  314  241  553  359  649 1062
##   [53] 1613  198 1052  173  159  921  335   34 1397  460   85 1504 1124
##   [66]  329  430 1524  994  663  188 1469  208 1704 1226  368  379  133
##   [79]  668  625  201  434  668  809  259  192   86  838  480   98   66
##   [92] 1178 1507 1654  684  457 1186  639  616 1080  657  330  480  933
##  [105] 1110  618  213   11 1114  916  964 1291  582  331 1035 1200  445
##  [118]  548  265  310 1604 1200 1670  867  107  658  936 1027  686  660
##  [131] 1367  557 1506 1194  678 1555 1141 1228  927  706 1052   72 1124
##  [144]  441 1575  221 1111  537 1000  659  594 1676  766  711 1228 1085
##  [157] 1072  224 1455  580 1354  115 1707  574 1723 1694  966 1256 1142
##  [170]  773 1596 1233  950  166  877 1072  126  553 1631  280  692  863
##  [183] 1561 1599  350 1018 1544 1631 1661 1223 1699 1405  367  900  359
##  [196]  155  600  741  202 1009 1657  171 1679  385  464  908 1041 1583
##  [209]  388 1272 1514 1682  153  733  553 1429 1161 1557 1447 1201  270
##  [222] 1225  627 1425  430 1174   35  477 1591  824  602 1348  435 1342
##  [235] 1204  416  426  267 1634  705  692  321  785  802 1423  791 1423
##  [248] 1197  756 1278 1352  492 1117 1136 1625    7 1010  970  360  666
##  [261] 1281 1697 1028   73 1307  492  641 1593  914  410 1710   14 1290
##  [274] 1645  153  808  670 1664  988  703 1496 1372  162 1388  492  960
##  [287]  658  640  678  741  175   73  449 1597  395 1158 1332  497 1261
##  [300]  963  662  163    6 1106 1106  717  336 1713  580  661 1484 1546
##  [313]  527  691 1031  548  789  313  965 1461  882 1577 1055  377  464
##  [326]  161 1215  872  186  751   48  378  106   24  311  783  756  169
##  [339] 1320  617  888  564  169  450 1604  385  102  224 1103  157 1690
##  [352]  228  973 1513 1520   73 1672  234  432  968  185  912  765 1682
##  [365]  481  912  884 1175  819  341  663  904 1524    5 1580 1253  471
##  [378]  778  594  683 1669  452  969  501  909  761  971 1577 1139 1719
##  [391]   67 1097   99  253 1475 1024 1401 1022  380  540  886 1291   29
##  [404] 1304   21  104 1529  973  586   25  424 1725 1067  612  291  535
##  [417]  133  150  518  681 1447 1334  231  396 1075  575 1068 1036 1206
##  [430] 1443  321  876 1711  319 1309 1075  252  963  578 1289  210  533
##  [443]   30 1405 1197  384 1646  169 1044  383 1512  449  323  997 1074
##  [456]  590  456  646 1481 1101 1610 1214 1339  428  379  829  592 1648
##  [469]  344  965 1493  848  997   21 1719 1635 1360 1129  722 1445  401
##  [482] 1696  832 1196  846  860 1042 1299   12  681  477 1304  493 1263
##  [495] 1654  139  846 1158   21 1180  217  743   82  355 1595  781  168
##  [508] 1681  235 1080 1572 1721  372 1652 1646 1505  857  467  400 1493
##  [521]  632  563 1471 1331  818 1070 1539  423 1234 1396 1520  647 1699
##  [534] 1270 1076 1016  238  990  812  463  255 1613  139  613 1006  148
##  [547]  417  127  687 1147  494 1229  785  922  589  309  923 1412  321
##  [560]  687  930  295 1656  613 1062 1229  951 1665 1649 1657 1647 1175
##  [573] 1607  277 1286 1201 1306 1130 1203 1011  765  105 1034  762  592
##  [586]  927 1071 1131 1437 1017  229   80 1213   98 1560  699 1672  832
##  [599] 1060 1702  375 1038  188  216  227  260 1331 1627 1446 1388  582
##  [612]  322 1032 1269 1591  516  355 1274 1340  552 1287 1054  534   53
##  [625]   13  953 1688  305  816  931  699  998  618  565 1206 1054  838
##  [638]  402  205 1437 1496 1171  867 1662  833  297 1702  417 1227   11
##  [651] 1497 1070 1371 1361 1662 1302  784 1445 1218 1295  878  510  297
##  [664]  738 1417 1217 1607  858  855 1081  940 1697  471  656  396 1649
##  [677]  180  406  117   76 1586  826  505 1031  331  818  659  348  113
##  [690]  796  799 1205 1031  127 1475 1059  968  215  127  428  428 1450
##  [703] 1717  188  832 1297    3  817  672  570  794  538  765 1625  523
##  [716]  695  600  859 1016 1490  988  177 1022 1490 1001 1410  194 1168
##  [729]  370 1452  661 1594 1021  326  618   10 1306 1567  592  815 1173
##  [742] 1610 1026 1133 1013  354 1393 1006 1715 1255  427 1511  799  157
##  [755]  876  557  467 1588 1643  379   28 1174  328  252 1225 1711  132
##  [768]  305 1361  340 1710  395 1554 1620  645 1577  129   85 1019 1520
##  [781] 1418   86   97 1727  132  364  708 1702  629  831 1443  124 1097
##  [794]  576  219  877  596  463  493 1284  445  756 1540 1438 1116  365
##  [807] 1682  368 1055 1727  305 1204  394 1298  599  399 1437  773  611
##  [820] 1098  824 1206  221 1024 1133  477  203   42 1095 1410  840 1680
##  [833] 1271 1023 1533   95  785 1477  833   60  171  364 1435  575 1207
##  [846]  250  492  305 1013   78  118 1503 1280  129 1277 1327  864   32
##  [859]  474 1463  730 1165    1 1083 1717  204 1104  465 1080  294  832
##  [872]  774  805  852  523  158 1534 1584  806  819  415  609  419  258
##  [885]    6 1272 1408 1698  994  280 1189  165 1450  258  550  151   91
##  [898]  645 1052  960  531 1600 1297  203  999  463 1463  701   12  270
##  [911] 1643 1447  362  199 1388   78 1424 1357  478 1346 1229   12 1013
##  [924]  798 1182 1390  117 1261   22  446  998 1633 1689 1407 1031  757
##  [937]  322 1310 1381  775  719 1647  189  267   72  772 1565  656 1250
##  [950]  390 1697  605  690  639 1221  878 1615  662  125  663 1147  449
##  [963]  940 1400  921  376  999 1323 1213  341 1370 1367  439  201 1376
##  [976] 1425  356   43  113  462 1566 1096  132  147   18 1177  915   54
##  [989]  302 1594 1025  695  440 1552 1326  157 1225  617  662  746  655
## [1002]  164 1163 1652  880  405  358  399  621  367 1447  222  739 1424
## [1015]  480 1344 1378   21  926  585 1699  697  984  825 1652  810 1684
## [1028]  907 1152 1324  813  469  163 1491  749 1653  631  129  896 1161
## [1041]   88 1295  565  211  852 1294  749  946 1168  203 1637   89 1535
## [1054]  318  490 1135  411 1083  216  242  867 1018  815 1721  378  259
## [1067]  649 1300  629   77 1600  850 1105  864  135 1129  520 1659  908
## [1080] 1119 1305 1517 1515 1616 1441 1511  406  854 1651 1329  473   21
## [1093]  438 1047  170 1106  223  180 1673 1301  192 1218  199  883  165
## [1106] 1080  256 1727  856  728 1690  263  379   59   87  507  475  187
## [1119]  848 1304  798 1162 1676 1296  935 1113  184  408 1544 1056  236
## [1132] 1182  642 1387 1417 1338 1245 1026   56 1098  838 1444 1111  745
## [1145]  603  451  182   20 1580   35 1433  563  924 1420  904  931 1698
## [1158]  986  694  933   84   18  513 1024 1720  174  884 1661    7  114
## [1171]  933 1346    9 1394 1013 1165 1435  111  362  301  142 1528 1340
## [1184]  414  768  736 1624  463  670  981  345  202 1334 1269  472  187
## [1197]  714 1286  243  796  608   74 1007  213  588 1137  456   74 1063
## [1210] 1070 1203 1476 1102 1223  343  543 1659  244   83   90 1661  761
## [1223]  527  135 1150  635  886  295  430  625   11  813 1067 1728  874
## [1236]  356  523 1296   11 1275  368 1013  636 1477  518  816  413 1343
## [1249]   16  471  578  810 1613 1042  931  973  253 1292   26  906  524
## [1262]  944  922 1658  145 1668 1205 1097  561  214 1073  974  112  198
## [1275]   52  578  864  966 1655  100 1698 1465 1693  255   67 1171  853
## [1288]  132 1015 1374  506  437  967 1435  402 1059 1551  382 1018  746
## [1301] 1129 1286  421 1411  400  553  201  311  454 1156    4  678  534
## [1314]  542 1624 1080 1397   28 1534  263 1304 1229  104 1726 1213 1581
## [1327]  816 1251 1585  729  311 1077  465   76   23 1385  403  751  578
## [1340]  401  926 1649  846 1382  390 1574 1281  961  940  895  494  316
## [1353]  479 1394  856  559  447 1324 1394  800 1206  558  181 1684  718
## [1366] 1254 1223 1604  843 1606  624  239 1115  398  937 1469  845 1129
## [1379] 1309  777  133  569 1642  290  755 1157   77  257 1269  602 1715
## [1392]  283   57 1256 1283  811  680  207 1207 1284  296   20  399  442
## [1405]  240  783 1300  147  637 1233 1656  984 1038 1129  943 1036 1043
## [1418] 1078 1535 1524 1662  451  131  776  160  809 1155 1440 1586  574
## [1431] 1450  772  931  276  892  131  939 1142  612  812  356  121 1703
## [1444]  592 1320  966  498 1121  467  223 1046 1728 1681 1402  797  697
## [1457]  811 1247  560  187 1482 1474 1404  991   76  792  419  538  559
## [1470]  734 1525  423 1648  836  180  357 1518 1262 1311 1220 1218  431
## [1483] 1474 1682  261 1672  419  122  786   42  641  839  561  529  426
## [1496] 1450 1494 1269  253  924 1350 1707   44 1055  617 1691  507 1060
## [1509]  351   13   39  761 1143  768  487 1270  511 1545 1099  292   68
## [1522] 1010  474 1401  326  531 1659 1504  627  891  983 1665  794 1194
## [1535]  791  169  586  361 1417  119 1457  713 1717 1618 1480 1402   11
## [1548]  162 1455  197 1108 1710 1466 1637 1037 1024  565 1093  590 1306
## [1561]  648 1361  655   34 1584 1432 1132 1442 1281 1153 1590 1304  809
## [1574] 1578  319 1464  405  377 1325 1705  650  642  262  638  887  569
## [1587]  410  468  454 1510 1223 1310 1010 1240  560  275 1247 1345  420
## [1600]  358 1040  987  793   77  758   10  257 1126 1453 1008  968  367
## [1613]  782  398 1348 1601  650  782  931 1535  576  367  370  817  249
## [1626]  638 1206  790 1123  292 1008  133 1618  287  538  219 1505 1010
## [1639] 1654 1715   95 1434 1430 1569  588  790  661  207  215 1506  582
## [1652]  312 1696 1379  489  847   25 1317  323  483 1395  403  123 1390
## [1665] 1087  189  236 1619  398 1561  293 1387  689  900 1716 1068 1566
## [1678] 1412  816 1651   94  359  650  851  361 1423 1643 1126  117 1233
## [1691]  600 1122  750   40  999  712  611 1587  938 1626  884  512  182
## [1704]  256 1452 1679   75 1091 1303 1549 1197 1097  563 1531  540  546
## [1717] 1046  990 1143 1120 1266 1017 1527 1643 1578  594 1208 1105
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 521 unacc (0.22337963 0.04340278 0.69849537 0.03472222)  
##      2) safety=high,med 1157 521 unacc (0.33362143 0.06482282 0.54969749 0.05185825)  
##        4) persons=4,more 786 400 acc (0.49109415 0.09541985 0.33715013 0.07633588)  
##          8) maint=low,med 393 179 acc (0.54452926 0.19083969 0.12722646 0.13740458)  
##           16) buying=high,vhigh 194  45 acc (0.76804124 0.00000000 0.23195876 0.00000000)  
##             32) lug_boot=big,med 129   9 acc (0.93023256 0.00000000 0.06976744 0.00000000)  
##               64) lug_boot=big 71   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) lug_boot=med 58   9 acc (0.84482759 0.00000000 0.15517241 0.00000000)  
##                130) doors=4,5more 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) doors=2,3 27   9 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                  262) safety=high 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) safety=med 10   1 unacc (0.10000000 0.00000000 0.90000000 0.00000000)  
##                    526) persons=more 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1052) buying=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) buying=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    527) persons=4 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) lug_boot=small 65  29 unacc (0.44615385 0.00000000 0.55384615 0.00000000)  
##               66) safety=high 32   3 acc (0.90625000 0.00000000 0.09375000 0.00000000)  
##                132) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 8   3 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                  266) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 33   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) buying=low,med 199 124 good (0.32663317 0.37688442 0.02512563 0.27135678)  
##             34) safety=med 101  44 acc (0.56435644 0.42574257 0.00990099 0.00000000)  
##               68) lug_boot=small 24   1 acc (0.95833333 0.00000000 0.04166667 0.00000000)  
##                136) doors=3,4,5more 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                  274) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 77  34 good (0.44155844 0.55844156 0.00000000 0.00000000)  
##                138) doors=2,3 42  12 acc (0.71428571 0.28571429 0.00000000 0.00000000)  
##                  276) lug_boot=med 20   1 acc (0.95000000 0.05000000 0.00000000 0.00000000)  
##                    552) persons=4 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    553) persons=more 10   1 acc (0.90000000 0.10000000 0.00000000 0.00000000)  
##                     1106) doors=2 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1107) doors=3 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2214) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2215) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  277) lug_boot=big 22  11 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    554) maint=med 13   2 acc (0.84615385 0.15384615 0.00000000 0.00000000)  
##                     1108) buying=med 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) maint=low 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) doors=4,5more 35   4 good (0.11428571 0.88571429 0.00000000 0.00000000)  
##                  278) buying=med 13   4 good (0.30769231 0.69230769 0.00000000 0.00000000)  
##                    556) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) maint=low 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) buying=low 22   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 98  44 vgood (0.08163265 0.32653061 0.04081633 0.55102041)  
##               70) lug_boot=small 33   9 good (0.15151515 0.72727273 0.12121212 0.00000000)  
##                140) maint=med 17   8 good (0.29411765 0.52941176 0.17647059 0.00000000)  
##                  280) buying=med 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    560) doors=3,4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) buying=low 11   2 good (0.00000000 0.81818182 0.18181818 0.00000000)  
##                    562) doors=3,4 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 5   2 good (0.00000000 0.60000000 0.40000000 0.00000000)  
##                     1126) persons=4 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) maint=low 16   1 good (0.00000000 0.93750000 0.06250000 0.00000000)  
##                  282) doors=3,4,5more 13   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 3   1 good (0.00000000 0.66666667 0.33333333 0.00000000)  
##                    566) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 65  11 vgood (0.04615385 0.12307692 0.00000000 0.83076923)  
##                142) lug_boot=med 27  11 vgood (0.11111111 0.29629630 0.00000000 0.59259259)  
##                  284) doors=2,3 13   5 good (0.23076923 0.61538462 0.00000000 0.15384615)  
##                    568) persons=4 10   2 good (0.20000000 0.80000000 0.00000000 0.00000000)  
##                     1136) buying=med 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2272) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 3   1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1138) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) doors=4,5more 14   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) lug_boot=big 38   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) maint=high,vhigh 393 178 unacc (0.43765903 0.00000000 0.54707379 0.01526718)  
##           18) buying=high,low,med 281 109 acc (0.61209964 0.00000000 0.36654804 0.02135231)  
##             36) lug_boot=big,med 180  46 acc (0.74444444 0.00000000 0.22222222 0.03333333)  
##               72) buying=low,med 115  17 acc (0.85217391 0.00000000 0.09565217 0.05217391)  
##                144) lug_boot=big 61   3 acc (0.95081967 0.00000000 0.00000000 0.04918033)  
##                  288) buying=med 39   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  289) buying=low 22   3 acc (0.86363636 0.00000000 0.00000000 0.13636364)  
##                    578) safety=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    579) safety=high 7   3 acc (0.57142857 0.00000000 0.00000000 0.42857143)  
##                     1158) maint=vhigh 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1159) maint=high 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                145) lug_boot=med 54  14 acc (0.74074074 0.00000000 0.20370370 0.05555556)  
##                  290) doors=4,5more 23   1 acc (0.95652174 0.00000000 0.00000000 0.04347826)  
##                    580) buying=med 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    581) buying=low 6   1 acc (0.83333333 0.00000000 0.00000000 0.16666667)  
##                     1162) maint=vhigh 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1163) maint=high 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                       2326) safety=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2327) safety=high 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  291) doors=2,3 31  13 acc (0.58064516 0.00000000 0.35483871 0.06451613)  
##                    582) safety=high 12   2 acc (0.83333333 0.00000000 0.00000000 0.16666667)  
##                     1164) maint=vhigh 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1165) maint=high 5   2 acc (0.60000000 0.00000000 0.00000000 0.40000000)  
##                       2330) buying=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2331) buying=low 3   1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                         4662) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4663) persons=more 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    583) safety=med 19   8 unacc (0.42105263 0.00000000 0.57894737 0.00000000)  
##                     1166) persons=more 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                       2332) doors=3 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2333) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1167) persons=4 13   3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)  
##                       2334) buying=low 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                         4668) maint=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4669) maint=vhigh 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                       2335) buying=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) buying=high 65  29 acc (0.55384615 0.00000000 0.44615385 0.00000000)  
##                146) maint=high 39   3 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                  292) doors=3,4,5more 32   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) doors=2 7   3 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                    586) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) persons=more 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1174) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) safety=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) maint=vhigh 26   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 101  38 unacc (0.37623762 0.00000000 0.62376238 0.00000000)  
##               74) safety=high 47  16 acc (0.65957447 0.00000000 0.34042553 0.00000000)  
##                148) buying=low,med 29   3 acc (0.89655172 0.00000000 0.10344828 0.00000000)  
##                  296) doors=3,4,5more 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2 7   3 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                    594) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) buying=low 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) buying=high 18   5 unacc (0.27777778 0.00000000 0.72222222 0.00000000)  
##                  298) maint=high 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                    596) doors=3,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1194) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) maint=vhigh 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 54   7 unacc (0.12962963 0.00000000 0.87037037 0.00000000)  
##                150) buying=low 22   7 unacc (0.31818182 0.00000000 0.68181818 0.00000000)  
##                  300) maint=high 9   2 acc (0.77777778 0.00000000 0.22222222 0.00000000)  
##                    600) doors=3,4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    601) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  301) maint=vhigh 13   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                151) buying=high,med 32   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) buying=vhigh 112   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 371   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 571   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[12]]
## $bindx
##    [1] 1226  228 1317  640  259 1156 1064  454  298 1606  715 1261  236
##   [14] 1539  289  360  926 1113  944  569 1088  322 1155  322  982 1055
##   [27] 1168 1387 1672 1369 1370 1499 1100  437 1013 1229  913   60  357
##   [40] 1016  446  780  171 1122 1187   78 1390  204 1727    3 1561  478
##   [53]  376 1025 1292  452 1677 1590  682  794  670  175   19 1254 1261
##   [66] 1497 1287 1431  548  444  795 1586 1182  617  491  543  638  577
##   [79] 1724  870  775 1126 1654 1136 1460 1696 1055  643  784 1109 1061
##   [92] 1633  906 1355  999 1113  956  573 1720  744  588 1247  770 1569
##  [105]  531 1284  465  688 1002 1656 1465 1575  172 1521 1013  329  602
##  [118]  708 1580 1315 1174 1521  516 1221 1571  400 1141 1562 1657  921
##  [131]  551 1690 1589  781  702  615 1000  935  871 1187 1261    4  961
##  [144] 1134  425  295 1029  831 1606 1418  681  899    6  662 1075 1545
##  [157]  210 1113  820 1712  981  105 1298 1059   41 1287  124  108  459
##  [170]  486  398  542  513  261 1707  457  346  854  248  619  286  992
##  [183]  587 1219   63 1476 1570 1408 1654   20 1107   91 1478  473 1111
##  [196]  111 1222  936  411  736 1326  612 1643 1484  993  661  814 1611
##  [209]  424 1095  343   16 1057 1382  253 1551 1153  838 1058  387 1006
##  [222]  823  349 1068  329 1198  285  500 1615 1125  791  107  111 1618
##  [235]  432  314 1539 1143  965 1578  680  585 1035 1426 1189  198  481
##  [248]  583  343  688 1381 1436  923 1531  213 1378 1544  367  704  235
##  [261] 1175  320  963  974  916  399 1224  281  508 1343 1644  268 1555
##  [274]  266 1588 1535 1382  318  969  941 1608 1590 1049 1502  332   87
##  [287]  638  600  924  221  810 1571  338 1010 1690  337 1506 1076 1225
##  [300]  417  989 1434  611 1508 1205 1651  314 1153  301   67 1315  336
##  [313]  877  418  674  641 1335  984 1723  409  355 1656  814  508 1379
##  [326] 1610  449  559 1159  637 1453 1551  781 1459  657  571  672 1128
##  [339] 1482  312  411  258 1620  447 1240 1202   65   51 1632 1333  195
##  [352]  570 1607 1101 1635  943  468 1600  443  422  785  536  191  951
##  [365]  612  860  265 1352 1163  512 1234 1392 1378 1703  871  891 1403
##  [378]  422   37 1636 1585 1050  946 1464 1384  596 1726  683  244 1134
##  [391] 1051 1346  525 1080  947 1071 1058  219 1336 1719  498  723 1037
##  [404]  980  649 1314 1377 1564  710 1590 1688    9 1551  572  802  545
##  [417]  777  566   48  149 1476  942 1716  933 1707 1484  712 1044  704
##  [430] 1126   28 1289  883 1276  226 1054  645 1257  871 1405  933  427
##  [443] 1383  760  322 1229 1346 1107 1205  773  416 1464  646 1218  369
##  [456]  304  126  687 1601  648 1419  674 1437  155 1616  898 1069 1238
##  [469] 1006 1066 1332   55 1673  309  623  399  398  168  590  424  851
##  [482]  461  976  786  371  306  597 1154  430   64  888 1066 1255  808
##  [495]  996  914 1210  350  515 1209  987  824 1073 1640 1644 1043    7
##  [508]  949 1374 1114  703  239 1064  861 1497 1254  508 1681 1700  991
##  [521]  887  858 1129 1433 1525 1547  850 1608 1633 1416  412 1626 1147
##  [534] 1157  274 1135  825  639  533   82  182  915 1431  105 1082  432
##  [547]  717  306 1293 1234 1171   74  823 1443 1335  114  428 1029  685
##  [560]  765  821  712  654 1126  462  634  785 1107 1665  322  459 1140
##  [573]   98  532  462  216  132  116  330  821  832 1491  127  892  372
##  [586]  784  778  641 1669  547  766  648  992 1443  260  984  585 1348
##  [599]  317  702 1700    9 1141 1722 1536 1464  149 1637 1041  339 1485
##  [612] 1044  374  893 1489  419 1285  739  800  684 1092  379   82 1686
##  [625]  879 1412   29  864  817  342 1440 1183 1199  802  178  143  614
##  [638] 1635   91  544 1644 1163  781  487 1455 1006 1325 1585 1265  837
##  [651]  501  226  824  952  254 1012  754  650    9  134  916  652   69
##  [664] 1117  107  383 1652   52 1614 1090 1402 1231  364 1422  528 1478
##  [677]  583  311 1574  199 1225 1002  488  894 1480 1712   42 1553 1545
##  [690] 1234  805 1165  414  549 1681 1254  286  895 1710  135 1388  382
##  [703] 1632 1269  418  728  617 1560  400 1492  696  113  322  859 1398
##  [716]  319  913 1051 1708 1400  736 1387 1231  183  387  879  586  228
##  [729]  196  697  112  976  992   94  756  714 1297  883 1349 1669  579
##  [742] 1626  429  439  126 1262 1691 1693  200 1477  103  350   12  460
##  [755] 1335  227 1467 1434  484  366 1307 1210 1115 1316 1471  171 1512
##  [768] 1332  859 1467 1117  389 1190  197 1383  540  827 1521 1521  139
##  [781]  812  594 1041  693 1161 1151  241 1575  792  476  412  989 1425
##  [794]  948 1476  847 1360 1030  965  765  669  321 1468  422  827   98
##  [807] 1136  374 1352  897  828  182 1609  640  670  843  514   58 1081
##  [820]   55  239 1683 1697 1253 1148  865  821  656  461  328  610 1398
##  [833]  602 1643  155  951  809 1219  877 1479 1324  890 1317  133   34
##  [846]  223 1548 1281  402  764  210  393  819 1035  750  675  590 1191
##  [859]  101  925   27  274  765  152  393  284 1007 1642  397 1660  122
##  [872]  712 1205  903  583  418  436 1043  866  985  664 1039  993  839
##  [885] 1477  381  729  807  564  118 1199  243 1518  592  748  127    4
##  [898]  384 1307 1180 1422  810 1280   50 1135 1589  479 1116  933  386
##  [911]  824  437  752 1641   70  407  699 1624  649  449 1452  874  580
##  [924]  245  676  811  547  339  920  645 1483  344 1356 1653  619 1626
##  [937] 1722  710   38 1478 1087  905  986 1395  528  563  548 1589  846
##  [950]  301 1008 1281 1237  756  433  364 1531 1572  886 1142 1508 1306
##  [963]   95  572 1692   13 1366  151 1617  344  948  894  190  795  896
##  [976]  859  299 1003  301 1716  285  111 1129 1026 1629 1524 1465  227
##  [989]  919 1066 1103   41 1492  722 1362 1109  418 1365 1101  193 1269
## [1002] 1579  187 1660  829  678  765  357 1474 1074 1707  451  592 1242
## [1015]  695 1119 1669 1255 1296  223 1403   17 1197   51 1576  163  368
## [1028]  191  535 1382 1469  711 1674  878   17  568 1246  293  788  711
## [1041]  362  841   34 1602 1356   43  602  561 1606  920   98  679  741
## [1054] 1380 1072 1140 1712 1716 1195   88   83   77  733    8 1376  348
## [1067]  235   23  361  699 1672   45  260 1645 1041  343 1515 1059  341
## [1080] 1394  376  370 1181  343 1435  548  993  223  362 1458 1279 1238
## [1093]   70  157 1033 1443 1074  237 1369  607   11  136 1046 1670  462
## [1106] 1471   92  723  433  696  204  329  924  600  359  460  174  654
## [1119] 1686  443 1549  485  117 1584 1031  485 1365 1287  525  585  879
## [1132]  181 1399  617 1642  993  642  455 1427  387  233 1015 1338 1387
## [1145] 1137 1539 1728 1545   90  902 1702  435 1577 1068 1100  143 1626
## [1158]   33 1199 1268  296  228  622 1024  459  907 1401  139 1424  901
## [1171] 1009  383  896  447  143  527   16  739  582  483  713  300  604
## [1184] 1202  938 1663  453  521 1581  620 1679 1201  811  737 1539 1387
## [1197] 1600 1654  849 1294 1365  912  227   19 1091  806  932  528  312
## [1210]   88  360 1070  723  302  835 1172 1718 1011 1250 1187 1590 1403
## [1223]  779 1261  328  243  854  970 1212 1480 1267  952 1052 1186 1157
## [1236] 1022  520  451  551 1007 1661 1391  232 1109  405 1396   77 1363
## [1249]  161 1081  951  352  127  884  973 1038 1288 1015 1296  688  779
## [1262]  391 1723  206  267  821  373 1714  260  915  689  406  625  894
## [1275]  343 1390 1392 1035 1641  322  159  945  186  426  722  603  470
## [1288]   55  162  713  314 1711  504 1228 1229 1016  324  986  760 1285
## [1301]  538 1147 1332 1686 1231 1642  119   59 1299  969 1612 1454  208
## [1314]  760  830  800 1049  326 1656  908 1172 1201 1508  909 1011  375
## [1327] 1368 1420  598  560  565  519  499  527  926  803 1551  602  467
## [1340]  656  801  240 1703  234  935  432  263 1523 1714 1406   16  719
## [1353]  718  513  842  786  453   10  930 1131  869  680  553  386  813
## [1366]  166  828  841 1342  832 1390  159  147 1474 1499  303 1558  341
## [1379]   64  275 1342  493  336  935  232  815 1312  946  179 1147  253
## [1392]  188  489 1334 1605  317 1653  832 1048 1608  919  831 1316   94
## [1405] 1707  728 1118 1651  738 1449  261 1488  160   82  704 1372  214
## [1418]  658 1204  831  168  766 1464  929  206  956 1663  113 1441 1706
## [1431]  659  917 1051  547 1241  254  424 1124  877  939 1036  427 1251
## [1444] 1118  962  945  835  902  738  537  566  960 1630 1033  918 1118
## [1457] 1423  999 1222   97   33  745 1440 1418 1441  722 1012  221 1318
## [1470]  977 1498  427 1412  914  385  729  474  945 1191 1141   34 1699
## [1483]  343  900  444  428 1104  918   40 1316   63 1218  324  604 1282
## [1496]  424 1698   65  575  310 1332 1053  607  350 1005  677 1031  909
## [1509]  777 1062  772 1484 1623  734 1310 1718 1340  397    2 1166 1412
## [1522] 1327 1701  990 1350 1638  564 1107  922  451 1463   84 1004  360
## [1535]  834  910  311 1496 1459 1715 1684  322  477  320  660  525 1443
## [1548]  140 1426 1004 1074   93 1561  586 1000  613 1325  679 1004 1063
## [1561]    1  324  818 1115 1320  136 1037 1229  481 1425 1470 1511 1178
## [1574] 1636 1450  872 1020 1462 1687  399  494 1268 1037 1652   26 1515
## [1587] 1443  162  772  830 1259 1453  594  224   79 1534 1069   93  239
## [1600] 1385  652  661  167  305  481  185 1015 1195 1168 1108  831  357
## [1613] 1681  561 1270 1057 1679  930 1457 1537  280 1568   88  266  946
## [1626]  821 1514 1526 1153  507 1466   36 1485  628  332 1084 1534  490
## [1639] 1708  673  903 1677  521 1007 1469 1121 1630  591  444 1050  966
## [1652] 1468  114 1030  792  492 1103  564 1660 1454 1714  928  675  999
## [1665]  539  724 1625   42  294 1257  267  807 1370 1475  202  690 1263
## [1678]  353  917 1036   98  186 1379  456 1433  848  859 1650  803  821
## [1691]  570  206  335  675  829 1667  765 1715   51  888  851  171  179
## [1704] 1479 1253  232 1003 1188 1071  540  227 1388  214  376 1198 1262
## [1717]  144 1520  204  864   47  774  890  204  380  591 1179  527
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 519 unacc (0.22743056 0.03587963 0.69965278 0.03703704)  
##      2) safety=high,med 1139 519 unacc (0.34503951 0.05443371 0.54433714 0.05618964)  
##        4) persons=4,more 772 379 acc (0.50906736 0.08031088 0.32772021 0.08290155)  
##          8) buying=low,med 396 182 acc (0.54040404 0.15656566 0.14141414 0.16161616)  
##           16) maint=high,vhigh 218  62 acc (0.71559633 0.00000000 0.22018349 0.06422018)  
##             32) lug_boot=big,med 137  22 acc (0.83941606 0.00000000 0.05839416 0.10218978)  
##               64) buying=med 79   7 acc (0.91139241 0.00000000 0.08860759 0.00000000)  
##                128) safety=high 45   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) safety=med 34   7 acc (0.79411765 0.00000000 0.20588235 0.00000000)  
##                  258) lug_boot=big 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 15   7 acc (0.53333333 0.00000000 0.46666667 0.00000000)  
##                    518) persons=more 8   1 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                     1036) doors=3,4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1037) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    519) persons=4 7   1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)  
##                     1038) doors=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1039) doors=2,3 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 58  15 acc (0.74137931 0.00000000 0.01724138 0.24137931)  
##                130) safety=med 29   1 acc (0.96551724 0.00000000 0.03448276 0.00000000)  
##                  260) doors=3,4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    522) maint=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) maint=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) safety=high 29  14 acc (0.51724138 0.00000000 0.00000000 0.48275862)  
##                  262) maint=vhigh 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 15   1 vgood (0.06666667 0.00000000 0.00000000 0.93333333)  
##                    526) lug_boot=med 3   1 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1052) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) doors=3,4 2   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) lug_boot=big 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 81  40 acc (0.50617284 0.00000000 0.49382716 0.00000000)  
##               66) safety=high 43   8 acc (0.81395349 0.00000000 0.18604651 0.00000000)  
##                132) doors=3,4,5more 32   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 11   3 unacc (0.27272727 0.00000000 0.72727273 0.00000000)  
##                  266) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 38   6 unacc (0.15789474 0.00000000 0.84210526 0.00000000)  
##                134) buying=low 18   6 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                  268) maint=high 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    536) doors=4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) maint=vhigh 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 20   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 178 116 good (0.32584270 0.34831461 0.04494382 0.28089888)  
##             34) safety=med 86  36 acc (0.58139535 0.38372093 0.03488372 0.00000000)  
##               68) lug_boot=small 28   3 acc (0.89285714 0.00000000 0.10714286 0.00000000)  
##                136) doors=3,4,5more 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 8   3 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                  274) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 58  25 good (0.43103448 0.56896552 0.00000000 0.00000000)  
##                138) buying=med 30  11 acc (0.63333333 0.36666667 0.00000000 0.00000000)  
##                  276) maint=med 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 17   6 good (0.35294118 0.64705882 0.00000000 0.00000000)  
##                    554) lug_boot=med 10   4 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                     1108) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) lug_boot=big 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 28   6 good (0.21428571 0.78571429 0.00000000 0.00000000)  
##                  278) doors=2,3 10   4 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                    556) lug_boot=med 8   2 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                     1112) doors=2 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1113) doors=3 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2226) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2227) persons=more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=4,5more 18   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 92  42 vgood (0.08695652 0.31521739 0.05434783 0.54347826)  
##               70) lug_boot=small 32  10 good (0.15625000 0.68750000 0.15625000 0.00000000)  
##                140) doors=3,4,5more 23   4 good (0.17391304 0.82608696 0.00000000 0.00000000)  
##                  280) buying=med 10   4 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                    560) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 13   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 9   4 unacc (0.11111111 0.33333333 0.55555556 0.00000000)  
##                  282) persons=4 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                    564) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    565) buying=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 60  10 vgood (0.05000000 0.11666667 0.00000000 0.83333333)  
##                142) doors=2 18   9 vgood (0.11111111 0.38888889 0.00000000 0.50000000)  
##                  284) lug_boot=med 9   2 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                    568) buying=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1136) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 9   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 42   1 vgood (0.02380952 0.00000000 0.00000000 0.97619048)  
##                  286) doors=3 8   1 vgood (0.12500000 0.00000000 0.00000000 0.87500000)  
##                    572) lug_boot=med 2   1 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                     1144) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1145) persons=more 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    573) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  287) doors=4,5more 34   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 376 179 unacc (0.47606383 0.00000000 0.52393617 0.00000000)  
##           18) maint=high,low,med 283 104 acc (0.63250883 0.00000000 0.36749117 0.00000000)  
##             36) lug_boot=big,med 183  39 acc (0.78688525 0.00000000 0.21311475 0.00000000)  
##               72) maint=low,med 124   9 acc (0.92741935 0.00000000 0.07258065 0.00000000)  
##                144) doors=3,4,5more 93   1 acc (0.98924731 0.00000000 0.01075269 0.00000000)  
##                  288) doors=4,5more 61   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  289) doors=3 32   1 acc (0.96875000 0.00000000 0.03125000 0.00000000)  
##                    578) safety=high 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    579) safety=med 13   1 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                     1158) buying=vhigh 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1159) buying=high 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                       2318) maint=low 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2319) maint=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                145) doors=2 31   8 acc (0.74193548 0.00000000 0.25806452 0.00000000)  
##                  290) lug_boot=big 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) lug_boot=med 14   6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    582) safety=high 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) safety=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 59  29 unacc (0.49152542 0.00000000 0.50847458 0.00000000)  
##                146) buying=high 30   1 acc (0.96666667 0.00000000 0.03333333 0.00000000)  
##                  292) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) doors=2 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    586) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) safety=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1174) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) buying=vhigh 29   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 100  35 unacc (0.35000000 0.00000000 0.65000000 0.00000000)  
##               74) safety=high 46  11 acc (0.76086957 0.00000000 0.23913043 0.00000000)  
##                148) maint=low,med 35   4 acc (0.88571429 0.00000000 0.11428571 0.00000000)  
##                  296) doors=3,4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                    594) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) maint=high 11   4 unacc (0.36363636 0.00000000 0.63636364 0.00000000)  
##                  298) buying=high 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    596) doors=3,4,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) buying=vhigh 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 54   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 93   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 367   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 589   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[13]]
## $bindx
##    [1] 1311  239  539 1214  761 1192  171 1352 1686  632 1384 1353  695
##   [14]  742   13 1551  929  350  778  999 1520  705  296  504   21  568
##   [27] 1675  327 1629   94 1609 1180  739 1473 1455 1144  429   73  696
##   [40]  644  719   56  462 1721 1465 1160 1366  489  827 1276 1463  686
##   [53]   35 1724 1193 1046 1100 1492  211  888  569 1487  178  442  890
##   [66]  846  917   30  477  637  655  427  938 1709  814  470  159  871
##   [79] 1383 1097  500   33  365  143 1437  179  994  192  914  341  149
##   [92]  266  262  593 1429  270 1176   59 1303 1475   54 1224  254  450
##  [105]  969  732   42  654 1246 1493 1026 1043   90 1555 1292  656 1086
##  [118]  389  333 1118  244    2  320 1222  743  862 1017  522  580  916
##  [131]  684 1237   68 1404 1543  380  110  889 1630  347   65 1304  332
##  [144]  236   10  667 1061 1317  243  109 1548  246 1011 1361  254 1403
##  [157]  532  410  700  207 1008  821 1255  361  387   71  750 1683 1274
##  [170]    3  632 1300  577  740  427  928  367  126 1395  324 1636  452
##  [183]   32 1181 1571  767  146  313  712  286  897  918  948   30   73
##  [196]  605  392 1563 1100  938 1169  571   35  553  609  346  682 1374
##  [209]  834 1287  480  450 1062  317 1701   66  568 1700  920 1524  975
##  [222]  218  618  978 1492  919 1177  148  828 1119  808  813  843  690
##  [235] 1697  173  481  239  666  664  882  114  406  459  874  808  172
##  [248]  583  379  150  902 1434  189 1282  526 1420  526 1029  603  778
##  [261]  901  301 1394  537 1174 1218  466 1009 1452  454    9 1394 1561
##  [274] 1424  806 1700  170   26  432  982  562  241 1175  771 1340  618
##  [287]  378 1698 1326  697 1652  252  233 1111  126 1255  966 1725 1506
##  [300]  581  863 1585  285 1710 1505 1289  804  390  524 1451 1359  258
##  [313]  765  230 1595 1520 1232  565  152  644  490 1083 1124  199  314
##  [326]  416  430 1005 1612  853 1072  431  121 1595 1615 1701 1349  379
##  [339] 1432  369 1451   75 1042  904 1312  562  631 1451 1383   66 1516
##  [352]  631 1200 1661  994 1208 1544 1565  852 1238 1286  473  931 1727
##  [365] 1180 1501  364 1183 1556  325  800  138  702 1085  715 1139  212
##  [378]   47 1444 1648  638   52 1041 1311 1410   67  184  765 1608 1237
##  [391]  400  981   30  364 1224 1576 1123 1259  426 1159  620 1490  511
##  [404] 1013  863  139  926  795  749  358 1710  645  364  949 1515 1608
##  [417] 1208 1283  163  410 1118 1002  272 1034  335 1188  948  951  868
##  [430] 1346  976  802 1028 1108 1489 1024 1628  828  688  564 1490  755
##  [443]   46  763  214  284  184  858  876 1728  989  705 1453  250 1207
##  [456]  437  441  718  439   53  879  840  139  648  282 1614   91 1554
##  [469]  722   25  687  346 1116  316  756  689  477 1602 1397  103  518
##  [482]  237 1389 1720  982 1354  625  384  627  772  371   23 1689  462
##  [495]  916   10  908  511  286 1211  892 1479  874  927  288  604  151
##  [508] 1385  513  456  261 1692  274  504  438  535  987  285   40  704
##  [521]    1 1160   15  646 1282  647  525 1049  985  177  868  791 1613
##  [534] 1321  201 1083  909 1236  107   24  746 1117  290  948  313  219
##  [547]  892 1544  913 1280 1561  765  237 1151  658 1064  649 1132  941
##  [560] 1314 1656  201 1516  319 1601 1582 1180  880  988 1147  472  336
##  [573] 1202  257 1580  969 1136  257 1391  945 1728 1622 1586  598 1287
##  [586]  431  626  549   26  467  856 1105  280  880  362  125 1021 1550
##  [599] 1183 1593  108 1466 1622 1383  306  847 1271  245  456 1590 1215
##  [612] 1701  312 1505  200   73   53 1046  783  608  962  906  436  488
##  [625]  831 1225  404 1222   88  584  357  439  911 1330  617  568  754
##  [638]  862  967 1671  497 1444 1608  410  383 1695   91   99  144  152
##  [651] 1653 1137 1445  921 1577  669  422  863 1684 1242  666 1651  373
##  [664]  244 1184  583 1071 1576  601  236  569  889  492  841  297  281
##  [677] 1394  437  209 1080  887 1400 1013 1465  529  878  285  875  146
##  [690] 1681  422  133  405 1243 1603  429 1698 1380 1658  782  695  459
##  [703]  524  331  354 1137 1278  795 1594 1587 1548 1048 1489 1713 1587
##  [716] 1107 1504 1142  590  728  284  262  973   19  416  841  285  837
##  [729]  602  307   88 1330 1394   24 1370  831  402  787  136 1278 1228
##  [742]  195  805  723   96 1369 1407  617 1452  116  952  269 1463 1171
##  [755] 1339  814 1454  539  310  381  143 1467   51 1586  971 1050  840
##  [768] 1517  228  915  680 1431  929 1366 1013  982 1063  411 1116  544
##  [781] 1028 1210 1418 1302 1583  179  685  166 1334  362  953  925  569
##  [794] 1610 1273 1307 1280  211  393 1215  646  573 1116  487  412  407
##  [807] 1127 1103  228 1283 1018  994  619 1013 1721 1223  378 1062 1656
##  [820] 1396 1423   47 1414  849 1465 1073  576  653 1082  638  799 1213
##  [833]  901  494  428  857 1305 1307 1319 1489 1219 1240 1111 1001  123
##  [846] 1458  458 1128 1160 1002 1068 1150 1162 1433 1321 1387 1212  655
##  [859] 1492 1026   45 1484   57  554 1075  952  471  447 1356 1188  782
##  [872]  176    7 1102  853 1054  249  358 1181 1135  138 1125  284  631
##  [885] 1073  184  982 1617  261  249  263  312  763  574  751 1454 1319
##  [898] 1121  866 1304 1228 1523  312 1032 1468 1693 1701 1720  384  404
##  [911]   82  390  590  791 1650  783 1574 1703  267   60 1054 1138 1348
##  [924]  784 1004  328 1721  256  674  155 1453  766  436  420  315 1594
##  [937]  958 1272  457 1353 1551 1409 1266  518  856  424 1490  958 1606
##  [950]  302 1499  528  627  487 1115  432  645  912 1639 1632 1149 1518
##  [963]  459 1472  610 1220  367   52  681  596 1083  251 1291  941  977
##  [976]  873  624  476 1064  352  777 1511 1513 1162 1126  367  118 1050
##  [989] 1616   49  482 1267  569   98  928  228  724  321  951  740  750
## [1002] 1371 1507  652 1422 1307 1693  313 1265  534 1018 1697 1303  437
## [1015]  506  673    2  766  813  941  644  338  124  309   35  579 1055
## [1028] 1165  145 1516 1204  729 1502 1507 1023  520 1266 1164  488   18
## [1041] 1339  902 1577  766  511 1243 1199  144 1638  140  273  324 1438
## [1054]   61 1665  930  710  386 1546 1534  104  175  146  408  820 1124
## [1067]  661  556  893  600  158    9  923 1455  145 1599  751  260 1129
## [1080] 1240  350  901   56  307 1571 1603 1240 1593  206  789 1643 1339
## [1093] 1060  155  248  518  889  838   42  812    4  410  982  903 1725
## [1106]  934  434 1442 1435  207 1495  815 1629 1518 1456 1671 1681 1122
## [1119] 1601  233  501 1349  889 1165  426  825  343  704 1280 1633  301
## [1132] 1106  649  787 1452   79  861 1088 1069 1484 1229 1614  126   74
## [1145] 1290 1046  274  569 1603 1295 1102  956  415 1585 1397  179 1384
## [1158]  771   31  794 1493 1316  906    8  261    6 1093   96  161 1448
## [1171]  389 1247  680  901   84  712  573 1679  706 1566  785  419  464
## [1184]  471   15  227 1022 1524  432  498  884  432  681 1209 1180  446
## [1197]  643 1201 1053 1144   48  137 1133  978 1421  565 1705 1233  635
## [1210]  688  282  711  551 1253  923 1401  104  526  594 1275 1002 1692
## [1223] 1115 1706 1623 1667 1209  547  518 1286 1482  125  478 1447 1634
## [1236] 1141  391 1610 1128  205  981 1284 1574 1662 1322 1597  248  154
## [1249]  826  907 1446 1363  740   28 1292  373  699 1648  641 1355 1456
## [1262]  221   63 1276  276  343  765 1330  765  785 1232  912   33  433
## [1275] 1579  837 1398  295 1498  347  817  250  861  629  779 1055  187
## [1288] 1640 1022 1344 1222 1177 1019  984  501  839  757 1024  815   65
## [1301] 1407  923 1550    8   39 1082 1156 1386  794   35 1466  620   25
## [1314]  867  707  656 1145 1105  387  733 1635 1635  462 1170  929  169
## [1327]  747 1116 1404 1528  520  224  216 1589  658  503  587 1608  741
## [1340] 1288 1344 1622 1494 1106  232  857 1567  681 1557 1684 1488  446
## [1353] 1621  951 1467  347 1433 1107 1426  155  520  795 1161  337  332
## [1366] 1238  747  637   18  691 1276 1205  354 1272 1049  566 1376  295
## [1379]  620  745  438  985  132  494 1518  567   36  346 1420  182  271
## [1392]  777  439 1675 1044 1402  924  518  834  853   77 1181  435  185
## [1405]  405 1690  982 1264 1632 1614 1710  127  899 1669  797  225 1536
## [1418]  750 1708 1000 1021   89  165  345  664 1534   30 1236 1555 1174
## [1431]  804   27 1639 1723 1080  777 1572 1374  982  613  550  989 1013
## [1444] 1136 1596  879  855 1314 1205 1296 1573  439 1416 1184  281 1623
## [1457]  690  539 1556    2  372  653 1168  569  289  394  109 1721   27
## [1470]  202  203  128  192 1559  483 1189 1353 1150  790  103  230  904
## [1483] 1361  549  911 1708  586 1104 1543 1386 1292 1354  493   93  788
## [1496] 1555  538  682  460  274 1302  324  523 1323  527 1324 1546  501
## [1509] 1473 1491 1062   68 1152 1607  531 1268  339   53 1355  845   11
## [1522] 1652 1068 1700 1243 1284  974 1539  831   76  147  640 1524  510
## [1535] 1182  198  969  344  608 1568  462 1307  204  995  955 1110 1296
## [1548] 1516  222  114 1200  622  515 1630  440  472 1366 1713  221 1720
## [1561] 1568  684 1204  533 1712 1127 1020 1415  596 1667 1260  808  327
## [1574] 1459  241 1644 1247 1507  788  670  721 1126 1112  428  418 1135
## [1587] 1590  606  782  256 1077   52  255  525  615 1537   88  435  281
## [1600]  466  551  625  582 1367 1426 1176 1461  276  305 1358  296  573
## [1613]  985 1556 1011 1550  314 1526   32 1344  143  585  490  754 1071
## [1626]  799 1335  368  947  712  124  664 1368  303 1603 1684 1636 1234
## [1639]  439  438  853  209  763 1406 1047 1085  568 1631 1701   46 1369
## [1652]  698  116   48  530  619  245    1 1482  766  316 1057  161 1388
## [1665] 1071  349  988  365  603  110  435 1182 1406  156  528  889  489
## [1678]  853  369  461   69 1061  552 1142 1705  994 1513 1097   80 1091
## [1691]  689 1013  899  225   31  424 1229   34 1593 1713 1299  289 1220
## [1704] 1544  478  431  664 1234 1358 1658  308  700 1287 1415 1371 1601
## [1717]  437  664 1467 1186 1664  312 1007 1678  339 1025  468  927
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 491 unacc (0.20833333 0.03819444 0.71585648 0.03761574)  
##      2) persons=4,more 1140 491 unacc (0.31578947 0.05789474 0.56929825 0.05701754)  
##        4) safety=high,med 751 391 acc (0.47936085 0.08788282 0.34620506 0.08655126)  
##          8) buying=low,med 371 183 acc (0.50673854 0.17789757 0.14016173 0.17520216)  
##           16) maint=high,vhigh 176  54 acc (0.69318182 0.00000000 0.25568182 0.05113636)  
##             32) safety=high 80  10 acc (0.87500000 0.00000000 0.01250000 0.11250000)  
##               64) buying=med 43   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) buying=low 37  10 acc (0.72972973 0.00000000 0.02702703 0.24324324)  
##                130) maint=vhigh 21   1 acc (0.95238095 0.00000000 0.04761905 0.00000000)  
##                  260) doors=3,4,5more 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    522) lug_boot=big,med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) lug_boot=small 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) maint=high 16   7 vgood (0.43750000 0.00000000 0.00000000 0.56250000)  
##                  262) lug_boot=small 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) lug_boot=big,med 10   1 vgood (0.10000000 0.00000000 0.00000000 0.90000000)  
##                    526) persons=4 4   1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)  
##                     1052) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) doors=2,4 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) persons=more 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) safety=med 96  44 acc (0.54166667 0.00000000 0.45833333 0.00000000)  
##               66) lug_boot=big,med 55  11 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                132) lug_boot=big 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) lug_boot=med 28  11 acc (0.60714286 0.00000000 0.39285714 0.00000000)  
##                  266) doors=4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) doors=2,3 19   8 unacc (0.42105263 0.00000000 0.57894737 0.00000000)  
##                    534) buying=low 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                     1068) maint=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1069) maint=vhigh 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                       2138) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2139) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    535) buying=med 12   3 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1070) persons=more 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                       2140) doors=3 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2141) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1071) persons=4 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) lug_boot=small 41   8 unacc (0.19512195 0.00000000 0.80487805 0.00000000)  
##                134) maint=high 17   8 unacc (0.47058824 0.00000000 0.52941176 0.00000000)  
##                  268) buying=low 9   1 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                    536) doors=3,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1074) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1075) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) buying=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 24   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 195 129 acc (0.33846154 0.33846154 0.03589744 0.28717949)  
##             34) safety=med 101  42 acc (0.58415842 0.36633663 0.04950495 0.00000000)  
##               68) lug_boot=small 40   5 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                136) doors=3,4,5more 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 9   4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##                  274) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 61  24 good (0.39344262 0.60655738 0.00000000 0.00000000)  
##                138) maint=med 28  11 acc (0.60714286 0.39285714 0.00000000 0.00000000)  
##                  276) buying=med 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 12   1 good (0.08333333 0.91666667 0.00000000 0.00000000)  
##                    554) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    555) doors=3,4,5more 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 33   7 good (0.21212121 0.78787879 0.00000000 0.00000000)  
##                  278) doors=2,3 15   7 good (0.46666667 0.53333333 0.00000000 0.00000000)  
##                    556) lug_boot=med 9   2 acc (0.77777778 0.22222222 0.00000000 0.00000000)  
##                     1112) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1113) persons=more 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2226) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2227) doors=3 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=4,5more 18   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 94  38 vgood (0.07446809 0.30851064 0.02127660 0.59574468)  
##               70) lug_boot=small 29   7 good (0.17241379 0.75862069 0.06896552 0.00000000)  
##                140) buying=med 12   7 acc (0.41666667 0.41666667 0.16666667 0.00000000)  
##                  280) maint=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) maint=low 7   2 good (0.00000000 0.71428571 0.28571429 0.00000000)  
##                    562) doors=3,5more 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 4   2 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                     1126) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 17   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               71) lug_boot=big,med 65   9 vgood (0.03076923 0.10769231 0.00000000 0.86153846)  
##                142) doors=2,3 24   9 vgood (0.08333333 0.29166667 0.00000000 0.62500000)  
##                  284) lug_boot=med 12   5 good (0.16666667 0.58333333 0.00000000 0.25000000)  
##                    568) buying=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1136) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 9   3 good (0.00000000 0.66666667 0.00000000 0.33333333)  
##                     1138) doors=2 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 5   2 vgood (0.00000000 0.40000000 0.00000000 0.60000000)  
##                       2278) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2279) persons=more 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 41   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 380 172 unacc (0.45263158 0.00000000 0.54736842 0.00000000)  
##           18) maint=high,low,med 284 112 acc (0.60563380 0.00000000 0.39436620 0.00000000)  
##             36) safety=high 133  24 acc (0.81954887 0.00000000 0.18045113 0.00000000)  
##               72) maint=low,med 101   7 acc (0.93069307 0.00000000 0.06930693 0.00000000)  
##                144) doors=3,4,5more 81   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=2 20   7 acc (0.65000000 0.00000000 0.35000000 0.00000000)  
##                  290) persons=4 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) persons=more 10   3 unacc (0.30000000 0.00000000 0.70000000 0.00000000)  
##                    582) lug_boot=big 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) lug_boot=small 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 32  15 unacc (0.46875000 0.00000000 0.53125000 0.00000000)  
##                146) buying=high 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) buying=vhigh 17   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 151  63 unacc (0.41721854 0.00000000 0.58278146 0.00000000)  
##               74) lug_boot=big,med 97  34 acc (0.64948454 0.00000000 0.35051546 0.00000000)  
##                148) doors=4,5more 50   8 acc (0.84000000 0.00000000 0.16000000 0.00000000)  
##                  296) maint=low,med 28   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) maint=high 22   8 acc (0.63636364 0.00000000 0.36363636 0.00000000)  
##                    594) buying=high 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) buying=vhigh 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) doors=2,3 47  21 unacc (0.44680851 0.00000000 0.55319149 0.00000000)  
##                  298) lug_boot=big 22   6 acc (0.72727273 0.00000000 0.27272727 0.00000000)  
##                    596) maint=low,med 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) maint=high 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1194) buying=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) buying=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) lug_boot=med 25   5 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                    598) persons=more 12   5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)  
##                     1196) doors=3 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                       2392) buying=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2393) buying=vhigh 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4786) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4787) maint=high 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1197) doors=2 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    599) persons=4 13   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 54   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 96   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 389   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 588   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[14]]
## $bindx
##    [1]  589   99   34  914 1234 1228  892  847 1622  797  271  854  986
##   [14]  591  743 1675   97  184 1372 1570  779  945  598  757 1156  748
##   [27] 1523 1043  867  543  777  426  488 1409  687 1719 1662 1709  863
##   [40]  744  934  554 1294  571  758  502  621 1397 1297 1338  397  277
##   [53]  225 1415 1378 1456 1438 1318 1629 1378  825  509  965 1402 1689
##   [66]  364  332  428 1607  698  564  904  162  660 1572 1584  134  593
##   [79]  967 1060 1260 1109 1399  362 1010 1185 1075 1382  605 1148   51
##   [92]  749  461  334  784  323  868  479  589 1341  337 1085  225  115
##  [105]  150  366 1442  405 1372  966  257  402  306   87   39 1358 1338
##  [118]  584  139 1136  732  368  210  328  136 1583 1073   52  241 1244
##  [131] 1674   67 1628 1525  132 1335   81 1203  561  328  619 1264  385
##  [144] 1261 1510 1453 1496 1166  265  240  146   66 1521 1069  700 1381
##  [157]  352 1472 1133  551 1414 1542 1669  712  986  144  210  911 1647
##  [170]  690  727 1413  594  728  545 1376    8 1722   25 1296  292  111
##  [183] 1302  640 1608 1208  647 1301  930  328 1646 1394  734 1301 1139
##  [196] 1391  449   82  920  101 1300 1013 1182  215  859  460 1595  834
##  [209]  717 1434  892 1349  740  182 1356  375  968  885 1115 1512 1043
##  [222] 1368  280  412  849 1226  125  628 1717  957 1326  417 1136 1630
##  [235]  994  912 1335 1649  117  926 1090 1534  297 1105  924   26  538
##  [248] 1715  313 1546 1054 1651 1237  284 1082  268 1510 1299  626  673
##  [261]  525 1681 1296   53  227 1012  781  893   21  632  852 1181  880
##  [274]  475 1572  938  943  931  889 1508  737  848 1647 1170 1159  409
##  [287]  745  927 1097   30 1616 1414  794 1549  168  395  993 1404 1253
##  [300]  424 1468  324    3  612 1704  966 1103  579  351   59 1642 1593
##  [313]  471 1246 1469  137 1605 1242  136  103  129  792  222  661  250
##  [326] 1439  125 1288  351 1291 1406 1541  175 1276  252  603 1632  683
##  [339]  393 1258 1552 1569  347  723  391 1703  262  574  950 1557  996
##  [352]   99 1081  902  702 1111  459 1503 1106  945  375  527 1364   10
##  [365] 1172   29 1171  651  789 1602  600  700 1448 1619  653  946 1472
##  [378] 1526 1454  444 1296  992  590  514 1267  115  415 1149  690 1344
##  [391]  402 1509  648 1276  109 1532 1441  177  629  544 1003  714 1520
##  [404] 1516  492  923  115   82 1577 1492   36 1245   26 1020  266 1122
##  [417]   50  306  330  946  414 1435 1566 1607  220  272   41 1093  390
##  [430]  312 1506 1170  444  946  675 1496   69 1360  446  653 1146  411
##  [443] 1718 1418  642  704 1619  490 1187  878  936   30 1306  469 1202
##  [456] 1100  754 1150   12 1281  578 1259  811  511 1125 1482 1253 1541
##  [469] 1402 1037   82 1718  110   94 1048  560 1560  617 1281 1464 1360
##  [482]  916  661  906  399  102  135  114  753  983  683 1224  622 1349
##  [495] 1208  109 1411 1096   45 1558  354 1400  676  207  810 1335  827
##  [508]   82  942 1170  870 1479  162 1722 1117  391  506  774  934 1067
##  [521]  600 1694   35 1158   54 1444  689  795 1273  399  394  855  523
##  [534] 1602 1237 1295 1040   18  514  872  413  107  393 1501 1468  193
##  [547]  577  955  284 1320  631 1068  303  594 1610  549  834  865 1298
##  [560] 1224 1450  566  696  682  171  117 1029  535 1410  752  438  114
##  [573] 1117  560  451   75  228 1636 1536  467  873 1580 1063 1139  797
##  [586] 1652  917 1595  615  683  907 1226 1079 1358 1215 1221  377 1493
##  [599] 1161  949 1301  947  480 1213 1495 1029  598  515   36 1371  423
##  [612]  690 1373  601  879 1537 1311 1495  917 1293 1400  150  385 1188
##  [625]  907 1586 1670  687 1128  527  647  907  726 1556  526  298 1433
##  [638]  935  518 1286  463  586 1629 1382  434 1195  857  218 1678  987
##  [651] 1338  650 1027 1468  489  615  733  534  702 1118 1543  701   39
##  [664] 1212 1207 1105  535 1088  478 1467 1426   23  670  353   35  642
##  [677] 1405 1356 1450 1154 1078 1031  198 1632  125  192  335 1021  847
##  [690]  160  292 1172  306 1584  968 1029 1683  473 1721  772 1726  660
##  [703]  420  439 1080   94 1469 1058 1374 1463  843 1658 1641  368  657
##  [716] 1194 1581  432  334 1136 1653  559 1562 1134    8  231 1281 1318
##  [729]  208 1620 1333  649  187 1149  803  408  488 1010 1438 1557  903
##  [742]  261 1467  989 1726  903  209  657 1319 1450 1286 1313 1169  384
##  [755] 1076  381 1166 1039 1091  197 1034 1220  519  921 1381  163  475
##  [768] 1072 1167  539 1652 1502  576 1058 1389 1532 1633 1652  537  164
##  [781]  523 1494 1132  129  462 1606  460  231 1164 1394  646 1092  845
##  [794]  665  770  821 1312  718  755 1504 1183  784  547  349 1173 1277
##  [807]  704  986  761 1178  683 1231  649 1043  818 1055 1528 1146  237
##  [820] 1464  875  779 1036  678 1417 1584  262 1200 1386  100  143 1498
##  [833] 1096 1257  879  261 1187  631 1348 1147 1183 1132  494  690  295
##  [846]   87  792 1141 1426   35   88  820  916   35 1347  717 1594 1115
##  [859]  335 1428  608 1288  691 1385  945  801 1672  837 1516  830  371
##  [872]  718 1525  730  799  898  352 1212  120 1374  505  863 1376  470
##  [885]  678 1209 1278  944 1617  487  299  303  949  964  555  292 1451
##  [898]   20 1090  703 1377   27 1516    6  595 1271  621 1059  197    7
##  [911] 1468  918  488  812 1158  438   37  409  718 1302  675  210 1082
##  [924]  827  448  782  928  605  927  462  488 1648 1171 1102 1037   30
##  [937]  818  135 1532  603  957  840   87  730 1353 1440  108  997  682
##  [950] 1213  765  222    1 1365 1636  690  884 1599   53 1034   73 1524
##  [963]  158   35 1173  534   33  638  791  636 1075  346 1497 1516   29
##  [976] 1403 1116  494  851  626  896  288 1478  708  674 1618  938  753
##  [989] 1457  152  582  698  584 1000  341  404  608  430  125  452  423
## [1002]  503  363  682  785 1469 1014  836 1007 1035  919 1693 1520  117
## [1015]   97  665  124  747  836 1275    1 1068 1516 1191 1122 1720 1457
## [1028]  691 1272  761 1587  468 1162 1525 1176 1601 1085 1090 1086 1339
## [1041]  149  283  174 1497 1029 1034   28  362 1291 1344 1070  467 1050
## [1054] 1036 1449  975 1363  200  686 1528   22  349 1347  959  103 1711
## [1067]  560  669  748  745  434 1490 1524  217 1306 1307 1205 1089 1677
## [1080]  278  999 1472 1689  551 1692   22   19  921 1689  104 1261 1282
## [1093] 1217   21  650  246  716 1565 1486  139  902  616 1261  516  615
## [1106] 1535  517    4 1359 1232 1294 1667  386  347  628  396 1627  571
## [1119] 1494 1204 1131  286  859  596   32  510  140  518  762 1137 1007
## [1132]  866  978 1304 1298  310  836 1133  335 1224 1364 1523 1636  808
## [1145]  710  728  600  514  844  498 1112 1499  497  155  674  783   62
## [1158]  813  736 1235  146  196  492 1569  165 1460  229  267  171  563
## [1171] 1375 1030 1174  195  793  695  754  550 1294 1550 1110  398  752
## [1184] 1542  336 1213 1405  337  838 1305  342 1123  903 1629  695   53
## [1197]  115 1100   98  917  602  891  104 1058  879 1098 1360  868   86
## [1210]  265 1388  489  322 1610  191  122 1162  502  352 1384 1083  900
## [1223] 1207  319  727  901  789 1343  414 1572 1055 1631 1088 1122 1670
## [1236]  743  930   50 1248 1637 1608 1108 1691  390  414 1462 1534  992
## [1249]  794 1083   77 1090  529   11  962 1413  714 1024 1025 1485 1241
## [1262]  245 1126 1358 1057 1401  633   23  858 1355 1384 1674 1604   80
## [1275]  420  742  293  353 1099 1628 1314 1629 1467 1233 1077 1717 1369
## [1288]  548    9 1206 1083  222 1534 1372  821 1435  780    8  608 1353
## [1301] 1122 1118  953  430  211 1474  793  181  597 1593  554  657  284
## [1314] 1715  486 1409  444  727  531  198 1582  829  334  964  593  518
## [1327] 1327 1120  213  907  575 1039  431 1230  607 1315  168  462 1573
## [1340] 1477 1695  321 1311 1484 1183  395 1308   55  206  401 1021  578
## [1353] 1144  933  854  642 1362 1711 1079 1024 1452 1361  497  231 1460
## [1366]   47  778  954  419  734  847  995  194  334  143  665  556 1557
## [1379]  993  498  801  116  983  701 1413  737 1137  204   30  652 1633
## [1392] 1496  432 1179 1461 1558 1217  474  945 1302 1661 1703  704 1010
## [1405]  508 1108  523 1057   77   28 1228 1119 1233 1311  466 1426 1483
## [1418]  160 1234 1353  496  682 1252  876  989  508 1106 1623 1256  175
## [1431] 1354  333 1312  449 1082 1320 1725 1349  425 1402 1215 1173 1430
## [1444] 1184  766 1187  627  815 1686  181 1286  309 1430  767   54 1188
## [1457]  242 1636 1092  194 1499  460  346  352   82  492   43  877  352
## [1470]  655 1072 1486  674 1663  315 1321   56  429  800  992  771 1142
## [1483]  463 1660  752 1306 1277 1611  221  340 1426  129  993  351  372
## [1496] 1587 1005 1336 1208 1167 1662  872 1453 1420 1163 1017  448  158
## [1509]  238  207 1033  698  775 1533  889 1395  864  116  877  695  349
## [1522]  662  820  562  383 1423 1123  655 1518  674 1717 1606  706 1437
## [1535]  230  936  217 1705 1005  910   37  364  771  287  628 1163 1710
## [1548]  365 1420  502  403  624 1305  268 1645 1725 1060  466 1718 1094
## [1561]  265  996 1202  223   84 1469  827   33  609  934  406  729   91
## [1574] 1493 1575 1532 1480 1536  632    5  603 1003 1284 1308   36 1023
## [1587]  837 1273  665 1113 1003   15   97  165 1184  314 1094  141  682
## [1600]  499  898  943 1714  654 1488 1024 1475  246  483  277 1405  701
## [1613] 1141 1696  861  265  794  895  875 1465 1216 1396 1378   78  785
## [1626] 1252 1518  404  270 1624   35 1177 1711  560 1300 1019 1393  849
## [1639] 1490 1419  983 1728 1162  903  986  389 1221  329  811 1527  337
## [1652] 1662  477 1377 1256  392 1363  682  245  123 1645 1498 1413 1199
## [1665] 1614   68 1106 1370 1218  212 1564 1357  139  727 1268 1258  580
## [1678]  261 1450  351   91  756 1179  148  439 1126 1195 1319  360  623
## [1691] 1528  725 1454 1658 1615  909  502 1288  910   17  220  138 1248
## [1704] 1667  339  338  980 1526 1148 1170 1552  720 1252  335 1286   93
## [1717] 1460  584  125 1393  385 1674  158   40  611   25  869  584
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 520 unacc (0.22974537 0.03530093 0.69907407 0.03587963)  
##      2) persons=4,more 1136 520 unacc (0.34947183 0.05369718 0.54225352 0.05457746)  
##        4) safety=high,med 752 355 acc (0.52792553 0.08111702 0.30851064 0.08244681)  
##          8) buying=low,med 382 176 acc (0.53926702 0.15968586 0.13874346 0.16230366)  
##           16) maint=high,vhigh 190  47 acc (0.75263158 0.00000000 0.21578947 0.03157895)  
##             32) lug_boot=big,med 119  15 acc (0.87394958 0.00000000 0.07563025 0.05042017)  
##               64) doors=3,4,5more 89   7 acc (0.92134831 0.00000000 0.01123596 0.06741573)  
##                128) maint=vhigh 50   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) maint=high 39   7 acc (0.82051282 0.00000000 0.02564103 0.15384615)  
##                  258) safety=med 25   1 acc (0.96000000 0.00000000 0.04000000 0.00000000)  
##                    516) doors=4,5more 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    517) doors=3 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                     1034) buying=low 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1035) buying=med 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2070) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2071) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  259) safety=high 14   6 acc (0.57142857 0.00000000 0.00000000 0.42857143)  
##                    518) buying=med 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) buying=low 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               65) doors=2 30   8 acc (0.73333333 0.00000000 0.26666667 0.00000000)  
##                130) safety=high 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) safety=med 14   6 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                  262) lug_boot=big 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) lug_boot=med 9   1 unacc (0.11111111 0.00000000 0.88888889 0.00000000)  
##                    526) buying=low 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1052) maint=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) maint=vhigh 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    527) buying=med 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) lug_boot=small 71  32 acc (0.54929577 0.00000000 0.45070423 0.00000000)  
##               66) safety=high 32   4 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                132) doors=3,4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                  266) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 39  11 unacc (0.28205128 0.00000000 0.71794872 0.00000000)  
##                134) buying=low 17   6 acc (0.64705882 0.00000000 0.35294118 0.00000000)  
##                  268) maint=high 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 22   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 192 129 acc (0.32812500 0.31770833 0.06250000 0.29166667)  
##             34) safety=med 92  43 acc (0.53260870 0.36956522 0.09782609 0.00000000)  
##               68) lug_boot=small 35   9 acc (0.74285714 0.00000000 0.25714286 0.00000000)  
##                136) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 14   5 unacc (0.35714286 0.00000000 0.64285714 0.00000000)  
##                  274) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 57  23 good (0.40350877 0.59649123 0.00000000 0.00000000)  
##                138) maint=med 32  12 acc (0.62500000 0.37500000 0.00000000 0.00000000)  
##                  276) buying=med 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 15   3 good (0.20000000 0.80000000 0.00000000 0.00000000)  
##                    554) doors=2 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    555) doors=3,4,5more 12   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 25   3 good (0.12000000 0.88000000 0.00000000 0.00000000)  
##                  278) lug_boot=med 9   3 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                    556) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) doors=3,4,5more 7   1 good (0.14285714 0.85714286 0.00000000 0.00000000)  
##                     1114) doors=3 3   1 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                       2228) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2229) persons=more 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1115) doors=4,5more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) lug_boot=big 16   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 100  44 vgood (0.14000000 0.27000000 0.03000000 0.56000000)  
##               70) lug_boot=small 30  13 good (0.33333333 0.56666667 0.10000000 0.00000000)  
##                140) buying=med 15   5 acc (0.66666667 0.26666667 0.06666667 0.00000000)  
##                  280) maint=med 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) maint=low 5   1 good (0.00000000 0.80000000 0.20000000 0.00000000)  
##                    562) persons=4 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 15   2 good (0.00000000 0.86666667 0.13333333 0.00000000)  
##                  282) doors=3,4,5more 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 6   2 good (0.00000000 0.66666667 0.33333333 0.00000000)  
##                    566) persons=4 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 70  14 vgood (0.05714286 0.14285714 0.00000000 0.80000000)  
##                142) doors=2,3 33  14 vgood (0.12121212 0.30303030 0.00000000 0.57575758)  
##                  284) lug_boot=med 15   5 good (0.26666667 0.66666667 0.00000000 0.06666667)  
##                    568) maint=med 8   4 acc (0.50000000 0.37500000 0.00000000 0.12500000)  
##                     1136) buying=med 5   1 acc (0.80000000 0.00000000 0.00000000 0.20000000)  
##                       2272) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) persons=more 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1137) buying=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 18   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 37   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 370 179 acc (0.51621622 0.00000000 0.48378378 0.00000000)  
##           18) maint=low,med 198  43 acc (0.78282828 0.00000000 0.21717172 0.00000000)  
##             36) lug_boot=big,med 145  13 acc (0.91034483 0.00000000 0.08965517 0.00000000)  
##               72) lug_boot=big 75   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) lug_boot=med 70  13 acc (0.81428571 0.00000000 0.18571429 0.00000000)  
##                146) safety=high 37   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) safety=med 33  13 acc (0.60606061 0.00000000 0.39393939 0.00000000)  
##                  294) doors=4,5more 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) doors=2,3 17   4 unacc (0.23529412 0.00000000 0.76470588 0.00000000)  
##                    590) maint=med 8   4 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1180) persons=more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1181) persons=4 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    591) maint=low 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 53  23 unacc (0.43396226 0.00000000 0.56603774 0.00000000)  
##               74) safety=high 26   3 acc (0.88461538 0.00000000 0.11538462 0.00000000)  
##                148) doors=3,4,5more 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 7   3 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                  298) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 27   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 172  36 unacc (0.20930233 0.00000000 0.79069767 0.00000000)  
##             38) buying=high 85  36 unacc (0.42352941 0.00000000 0.57647059 0.00000000)  
##               76) maint=high 52  16 acc (0.69230769 0.00000000 0.30769231 0.00000000)  
##                152) doors=3,4,5more 39   6 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                  304) lug_boot=big,med 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) lug_boot=small 14   6 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                    610) safety=high 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) safety=med 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) doors=2 13   3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)  
##                  306) lug_boot=big,med 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                    612) safety=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) safety=med 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1226) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) lug_boot=small 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 33   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 87   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 384   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 592   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[15]]
## $bindx
##    [1]  345 1505 1578  134 1650 1029 1064  210 1363  571  761 1547  998
##   [14]  452 1593 1526  241 1115  865 1075 1196  588   11  535  345 1180
##   [27]  489  558 1451 1035 1711 1034  737  436 1542  208 1107 1079  953
##   [40]  674  139 1216  190 1069  788   35 1522  381 1197  471 1525  854
##   [53]  243 1133  591  685  835  269  832  539  623 1312 1687  776 1164
##   [66] 1324 1394 1237  442  484 1243 1549  541 1007 1175 1075  455  518
##   [79]  147  628  652 1540 1124  376  404 1589 1555 1220 1365 1456 1265
##   [92]  634   77 1285 1497   20 1141 1302 1097 1120  777  993 1016 1177
##  [105]  407 1278  791 1191  627  318  582 1152 1434  343  524   16 1543
##  [118] 1134  672   46  878 1094 1103  363  557 1172 1151 1513 1434 1039
##  [131]   55  867  759  458  842  784 1321 1369   68  784  426 1584  264
##  [144]  486  522 1052 1085 1673 1208  251  625  441  342  740  266 1002
##  [157]  166  994 1123    4 1122  505 1418 1041  912  717 1449 1199  668
##  [170] 1581  426  588  425  261  657  604  181 1206  859  189  774 1170
##  [183] 1114 1583 1533 1533  360  478 1559  718 1504  574  744  880 1041
##  [196]  597  403 1453 1137  958  609  382 1538  265 1067  248 1106 1203
##  [209]  590  536  119  541  536 1663 1074  939  926 1024  697  485  736
##  [222] 1521  955 1002  182 1112  177 1614  112   86  327 1684 1336  119
##  [235] 1643  445  854 1597  322  167  899 1422  970  212 1286 1172 1418
##  [248]  755 1725 1317   47 1473 1525 1092 1493  125  932  614  198 1632
##  [261]  372  294 1206 1521  915 1280  901  450 1328 1198  985 1574   27
##  [274]  501  693  894  937 1334 1363  861   37 1686  988   95 1213 1212
##  [287]  578 1187 1330  714   30   23 1548    6  657  984  619  727  235
##  [300] 1621 1255  976  285  423  409  172  178  556 1448  598 1541 1020
##  [313]  493  201 1247 1486  623  465 1206 1143 1045   89 1075 1498  385
##  [326] 1242  260 1603 1160  496 1599 1619  240  946  398 1026  421  641
##  [339]  381 1182 1632 1128 1448  174  296 1586  299  183  645 1470 1039
##  [352]  771  868 1395  910 1171 1701 1727 1371 1401  577 1019 1647 1144
##  [365]  278  712 1506  738  787 1125  754  804 1443 1725  177  896  837
##  [378]  688  486  825 1396  382  936 1255 1168   89 1402 1046  297  809
##  [391]  458  545  240 1267  488 1554  284 1726  855  855 1081  688  917
##  [404]  623  257 1602  529 1359  429  206  325  917  261 1248  624  889
##  [417]  124 1120  227  381  214 1542 1140   72  975  822 1687  297  592
##  [430]  125  424 1244  182 1620  754 1432  195 1678  873  260 1320  130
##  [443] 1527  226  732 1001 1214  905  914 1420  905  520 1106  190  664
##  [456] 1365  216  679  512 1464 1333  807 1449 1505  831  408  803  173
##  [469]  766  501  769 1538 1575 1101  402  964  931  588  171  449  106
##  [482] 1725  869 1556  885 1414 1553 1611 1702  676 1548  626   48  216
##  [495] 1082 1518 1158 1451 1667 1571  405 1677  669  696 1492 1101  212
##  [508]   29  255  122  254 1151  928  312 1719  572 1494  418  918 1664
##  [521]  805 1635  601 1452 1506 1518  394 1615   67 1463  535 1440 1627
##  [534] 1186 1037 1504  571 1568 1158  652 1095 1231  648  547 1724  563
##  [547]  946  806  650 1065 1098  777 1125  700  854 1278 1268  560 1212
##  [560]  112 1450  240  748  676 1554  249  821 1046 1621  953 1638 1170
##  [573]  899  520  830 1619   74  683   17  453  992  583 1145 1139 1361
##  [586]  805 1633  374   13 1335  130 1627 1563 1024  899 1005  372  903
##  [599]  337 1214 1022  622  574  317 1239 1378 1065  831   36 1186  970
##  [612] 1045  990  235   50  808 1555  842  324 1029  664 1140  587  101
##  [625]  904  863    5 1678    7  941  366  453 1183 1589 1080  925 1054
##  [638] 1536 1597  437   81  135   66  697  276 1414  668  621 1647  444
##  [651]  631  698 1348 1272 1286 1007 1300  264  471  772  961 1085 1457
##  [664] 1428   82  197  938  767  968 1191  772 1642 1165 1195   97  739
##  [677]   53 1601  647  529  470  931 1106 1693  600  287  351  601  487
##  [690]    7  840 1138  175 1463 1328 1205 1324 1615 1123  582 1487  328
##  [703]  398  887  926 1367   48  350 1160  791  376  941  621  925  468
##  [716] 1548  287 1029 1287  569  177  279 1380 1642  807  607  724  634
##  [729] 1524 1058  303  995 1246   67   46 1728  626  593 1633  707 1065
##  [742]  671  470  994  245  554  153 1110 1496 1542  205  487  123  214
##  [755] 1071 1432 1587  655 1545  785   56  606 1675  506  199 1032  330
##  [768]  399 1689  348  253  201  975  672  463  356 1625 1445 1143  964
##  [781] 1028  991 1548  100  254   81  911 1131  950  523 1386 1401 1255
##  [794]  228  930  116 1510 1032 1318  693 1181 1373 1585 1178  967  900
##  [807]  726 1528  867  800  128 1516  649 1128  236  208  272  921 1721
##  [820]  765  966 1654 1036 1176  469  485    6 1518 1207  232  626 1388
##  [833]  636    7  483  971 1305 1415 1581  395  144  512  886   18  948
##  [846] 1128  436 1439 1440  610 1623 1527 1461  343 1181  575  601  954
##  [859]  360  944  359  925  395  686  858  766 1499 1117  716 1528  448
##  [872]  171  728  415 1080  850 1525  678  921  451 1082   83 1163 1535
##  [885]  262 1482 1055  372  116  621  421 1344 1725  204 1342 1230   47
##  [898]  885  842   29  714 1485 1419  890 1086  261 1685  427 1414 1260
##  [911]  950 1357 1370  511  275 1174  859 1354 1486  138 1284  653  844
##  [924] 1682  544  337  400 1614   68 1427  659  423 1450 1390 1262 1342
##  [937] 1276  653  501 1128 1563 1554  272  861  822 1343  440 1154 1006
##  [950]  727  972  979 1523  191 1700 1132  335  303  686  477 1232  691
##  [963] 1617 1232 1445  307   51 1223  571 1249  871 1079  776 1689  941
##  [976] 1542  335  502   95  693  434  585 1449 1591 1417  124  111 1391
##  [989] 1672 1430 1165  325  978    6 1180  804 1414 1076 1604 1456 1405
## [1002] 1491  523 1381  351  330 1315  620   97   84  642  555 1050 1158
## [1015]  801  471  541 1613 1028 1145  670 1505 1693  516  143 1598   36
## [1028]  594  424  492  681  265  443  117 1022 1459  946  531  550  159
## [1041] 1099 1003 1271  323  337  207  398  133  987  726 1634  939 1178
## [1054] 1396 1220  591 1429 1533  150  917   26 1067 1169  674 1693  435
## [1067]  752  116 1254  218  621  767 1324  419 1310  943  294  786 1177
## [1080]  722  683 1120  134   20  611  922  745  603    1 1506 1190 1536
## [1093] 1117 1505  247  964  359  427 1123 1194  538 1295 1446  537 1665
## [1106]  545  976  640 1203 1486   14  121  349   15 1725 1092   18 1456
## [1119]  661  559 1347  965  187  575 1697 1691  589   26  415 1400 1502
## [1132] 1086 1669  568  361  221 1113 1049  760 1416 1318 1592  560  214
## [1145]  628  902  829  122 1196 1660 1490  946  233  398 1186  341  908
## [1158] 1066  377  806  904  624  166  340 1212  879  603  255  831  864
## [1171]  124 1038  377  873  485  870  293  641 1070 1482 1495  137  522
## [1184] 1619 1284  151 1661  868 1147  367 1323 1711  798 1319 1600  855
## [1197] 1670 1694  694   71  863  527  406  571 1453   99 1387  617  569
## [1210]   20  731  979 1170  542 1004 1080    5  211  275  137  846 1262
## [1223] 1552  222  218  169  949  540  269 1618  529  825   38  387  581
## [1236] 1496  620  475 1149 1586  312 1511 1644 1192  746  431 1476  574
## [1249]  334 1363 1179  533  558 1339  211 1651  393  783 1615  212  998
## [1262]  433   40 1276  169  385  946  955  349 1395 1105  714  352  356
## [1275]  346 1061  742 1267 1394 1446 1239  556 1570 1634 1304  882 1631
## [1288] 1553 1080  575  253   53 1018 1618  225  294 1151 1122 1045 1330
## [1301]  250  223 1531  291  129 1435 1177 1680 1685  900  834   17  443
## [1314]   34 1487 1214 1181 1544    1 1338 1144 1116  352 1229  372 1284
## [1327]  145  241  610 1645 1277  350 1584  855  813   92  154  926  324
## [1340]  379  766 1114  154  281  136  294  501   18  877  435 1543   25
## [1353]  907 1117  612 1041 1650 1175  203   68 1082 1050 1004 1652  544
## [1366]  274   16  128  126 1692  512  389 1167  915 1569 1623 1147  420
## [1379]  314 1618  856  503  377 1254  614 1470 1568  551  958 1585 1083
## [1392] 1441  445 1027  636  799 1625  322 1018 1440 1672  440  216  555
## [1405] 1052 1204 1243  975 1618  295  859 1004  414 1544  696 1321   84
## [1418] 1263  723  161 1574 1349  838  943  922 1158  999  317  222  206
## [1431] 1356 1624   23 1096  309 1650   10  915  169  843 1409  691 1000
## [1444] 1303  665 1403 1111 1611 1668   82 1671  569  893  389  942 1018
## [1457]  352 1000 1724 1070  651 1349  985 1173    8 1169  328  788 1319
## [1470] 1127  442  740 1371  440  421 1382 1297  691  604   91 1063  207
## [1483]  369 1109 1285  980  950 1300  252 1193 1295   50  773  112 1151
## [1496] 1128 1018   19  771 1588 1608  183 1427  513   11  789  858  211
## [1509]  323 1550 1496  309  618  817  168 1685 1708  490 1602 1230 1412
## [1522] 1064 1132  532  769 1103  301  636 1334  313  890  882  265  963
## [1535] 1350  140  953  338 1534 1150  790  945 1087   21  343  781  295
## [1548]  788  853  396  856  750  629  413  211  890  689  658  240  426
## [1561]  937  538  322  318  472  659  694 1360 1485  478  905  927  854
## [1574]  860  701  202   58 1135 1132  580   38   71 1333 1650 1051    6
## [1587] 1190  430   56 1240  323  652 1266 1611 1481  686  753 1312 1314
## [1600] 1382 1291 1345 1061  395  159  435  887  173  637  503  760 1117
## [1613] 1489  178 1020 1356  722  558  683  958 1383 1571  221  467 1157
## [1626] 1618  432  371  766 1064  963 1530  613  710    9 1184  265 1122
## [1639]  397 1421 1425  614  904  141 1077  720 1639  198  416  662 1405
## [1652]  579  838  711  898 1466 1311 1711  507 1331 1320  259  878  817
## [1665] 1578  256   85 1338 1362 1169  633 1014 1046 1248 1179  365   65
## [1678]  420 1092 1081   33  350  787 1546 1005  286 1293 1257  447  636
## [1691] 1320 1707   82  299 1658  546 1033  651 1202 1565  112  466  384
## [1704]  929  738 1022  694 1629  990  439  501 1590 1367 1725  212  683
## [1717] 1481  400 1712  784  360  167 1373  439 1097 1299  207  300
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 544 unacc (0.23842593 0.03530093 0.68518519 0.04108796)  
##      2) safety=high,med 1142 544 unacc (0.36077058 0.05341506 0.52364273 0.06217163)  
##        4) persons=4,more 786 374 acc (0.52417303 0.07760814 0.30788804 0.09033079)  
##          8) buying=low,med 396 174 acc (0.56060606 0.15404040 0.10606061 0.17929293)  
##           16) maint=high,vhigh 192  46 acc (0.76041667 0.00000000 0.18750000 0.05208333)  
##             32) lug_boot=big,med 129  21 acc (0.83720930 0.00000000 0.08527132 0.07751938)  
##               64) safety=med 69  11 acc (0.84057971 0.00000000 0.15942029 0.00000000)  
##                128) doors=3,4,5more 50   3 acc (0.94000000 0.00000000 0.06000000 0.00000000)  
##                  256) doors=4,5more 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 19   3 acc (0.84210526 0.00000000 0.15789474 0.00000000)  
##                    514) persons=more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) persons=4 9   3 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1030) maint=high 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) maint=vhigh 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                       2062) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2063) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) doors=2 19   8 acc (0.57894737 0.00000000 0.42105263 0.00000000)  
##                  258) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 12   4 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                    518) maint=high 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                     1036) buying=low 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1037) buying=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    519) maint=vhigh 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) safety=high 60  10 acc (0.83333333 0.00000000 0.00000000 0.16666667)  
##                130) buying=med 30   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) buying=low 30  10 acc (0.66666667 0.00000000 0.00000000 0.33333333)  
##                  262) maint=vhigh 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 14   4 vgood (0.28571429 0.00000000 0.00000000 0.71428571)  
##                    526) lug_boot=med 7   3 acc (0.57142857 0.00000000 0.00000000 0.42857143)  
##                     1052) doors=2,3 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) doors=4 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) lug_boot=big 7   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 63  25 acc (0.60317460 0.00000000 0.39682540 0.00000000)  
##               66) safety=high 33   5 acc (0.84848485 0.00000000 0.15151515 0.00000000)  
##                132) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 7   2 unacc (0.28571429 0.00000000 0.71428571 0.00000000)  
##                  266) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 30  10 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                134) buying=low 16   6 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                  268) maint=high 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 14   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 204 128 acc (0.37254902 0.29901961 0.02941176 0.29901961)  
##             34) safety=med 95  33 acc (0.65263158 0.33684211 0.01052632 0.00000000)  
##               68) lug_boot=med,small 54   8 acc (0.85185185 0.12962963 0.01851852 0.00000000)  
##                136) lug_boot=small 30   1 acc (0.96666667 0.00000000 0.03333333 0.00000000)  
##                  272) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    546) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) lug_boot=med 24   7 acc (0.70833333 0.29166667 0.00000000 0.00000000)  
##                  274) persons=4 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 13   6 good (0.46153846 0.53846154 0.00000000 0.00000000)  
##                    550) doors=2 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    551) doors=3,4,5more 9   2 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                     1102) buying=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                       2204) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2205) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1103) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) lug_boot=big 41  16 good (0.39024390 0.60975610 0.00000000 0.00000000)  
##                138) maint=med 25   9 acc (0.64000000 0.36000000 0.00000000 0.00000000)  
##                  276) buying=med 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 16   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 109  48 vgood (0.12844037 0.26605505 0.04587156 0.55963303)  
##               70) lug_boot=small 28  15 good (0.35714286 0.46428571 0.17857143 0.00000000)  
##                140) buying=med 15   5 acc (0.66666667 0.20000000 0.13333333 0.00000000)  
##                  280) maint=med 12   2 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    560) doors=3,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) doors=2 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                     1122) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1123) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) buying=low 13   3 good (0.00000000 0.76923077 0.23076923 0.00000000)  
##                  282) doors=3,4,5more 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 6   3 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                    566) persons=4 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 81  20 vgood (0.04938272 0.19753086 0.00000000 0.75308642)  
##                142) doors=2,3 40  20 vgood (0.10000000 0.40000000 0.00000000 0.50000000)  
##                  284) lug_boot=med 26  10 good (0.15384615 0.61538462 0.00000000 0.23076923)  
##                    568) doors=2 12   1 good (0.08333333 0.91666667 0.00000000 0.00000000)  
##                     1136) maint=med 5   1 good (0.20000000 0.80000000 0.00000000 0.00000000)  
##                       2272) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) buying=low 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) doors=3 14   8 vgood (0.21428571 0.35714286 0.00000000 0.42857143)  
##                     1138) persons=4 8   3 good (0.37500000 0.62500000 0.00000000 0.00000000)  
##                       2276) buying=med 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                         4552) maint=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4553) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2277) buying=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) persons=more 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 14   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 41   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 390 190 unacc (0.48717949 0.00000000 0.51282051 0.00000000)  
##           18) maint=low,med 198  47 acc (0.76262626 0.00000000 0.23737374 0.00000000)  
##             36) lug_boot=big,med 122   6 acc (0.95081967 0.00000000 0.04918033 0.00000000)  
##               72) lug_boot=big 70   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) lug_boot=med 52   6 acc (0.88461538 0.00000000 0.11538462 0.00000000)  
##                146) safety=high 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) safety=med 17   6 acc (0.64705882 0.00000000 0.35294118 0.00000000)  
##                  294) doors=3,4,5more 14   3 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                    588) persons=more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    589) persons=4 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1178) doors=4,5more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1179) doors=3 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  295) doors=2 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 76  35 unacc (0.46052632 0.00000000 0.53947368 0.00000000)  
##               74) safety=high 40   5 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                148) doors=3,4,5more 34   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 6   1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)  
##                  298) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 36   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 192  39 unacc (0.20312500 0.00000000 0.79687500 0.00000000)  
##             38) buying=high 98  39 unacc (0.39795918 0.00000000 0.60204082 0.00000000)  
##               76) maint=high 52  13 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                152) safety=high 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                153) safety=med 21   8 unacc (0.38095238 0.00000000 0.61904762 0.00000000)  
##                  306) lug_boot=big 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  307) lug_boot=med,small 15   2 unacc (0.13333333 0.00000000 0.86666667 0.00000000)  
##                    614) lug_boot=med 5   2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                     1228) doors=3,4 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                       2456) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2457) persons=4 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1229) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    615) lug_boot=small 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 46   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 94   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 356   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 586   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[16]]
## $bindx
##    [1]  861  617 1140 1221 1274 1231  155 1630 1462    8  968 1045 1659
##   [14]  746 1076 1067  694  109  540  366 1331  420  227  104 1344   86
##   [27]  579  181 1682 1457  316  186 1726 1058 1071  791  510  943 1193
##   [40] 1638 1160 1009   44 1376 1042  861 1569  606   37 1702 1398  308
##   [53]  419   83  485  120  318  263 1579  730 1492 1232 1612  826  919
##   [66] 1362  195 1684  234  749  672    6 1260 1655  536  103 1324 1052
##   [79]  866  561  656  264 1174  663   66 1078 1004 1043  626   66 1207
##   [92] 1372 1357  208 1548  485  470 1607  324 1337  288 1409  782  701
##  [105] 1346 1094 1186  374  268 1452  651  996 1265  470 1056  244  999
##  [118]  305  756 1675  501  727 1153 1605  245 1511 1707 1329  259  350
##  [131] 1001 1228 1605 1485 1659   75 1377  935  822 1703 1723 1495 1537
##  [144]   25 1622 1571 1412 1363 1012  259  693  578 1030 1716 1214 1219
##  [157] 1499  617 1385  543 1694 1225  816  756 1183  485  304  222 1322
##  [170] 1160  920   27  124  701  841  510 1032  255  552  859 1058  465
##  [183]  581 1592  488  436  943 1130 1199  658  449 1074  610  943 1213
##  [196]  737  506  178 1166  856 1251 1553  665  732 1057  481  598 1462
##  [209]  314 1287 1531 1640  782  849 1649  217 1350 1663  909   64  696
##  [222]  156  337  194 1405  487 1376 1649  287  179  385  899  165  332
##  [235]   84  786 1255 1073  909   40 1181  970 1717  749  260  756  198
##  [248] 1590  192 1511  518  838  745  793 1420 1472  700 1304 1600  572
##  [261]  828 1111 1445  857  956   16 1555  293  985  704  317  617 1384
##  [274]  459  949   49  349  717  963 1421  919 1717  583  755 1132 1430
##  [287]  940  601 1050  352   44 1376  953 1312  484  806   49  942  233
##  [300]  958  918  164    1  810  174  341  463  685  933  902  381 1269
##  [313]  566 1634  564  706  990  688  308  967  203  287 1190  382 1157
##  [326] 1663 1486  217  309 1476 1594  948  754  537  128  938 1230  158
##  [339]  924  990  175 1700  782  168  112  686  470 1431  810 1229  555
##  [352] 1409  861  172 1398 1523  880  506  179 1641 1303  545  398  307
##  [365]  974 1093 1061 1546   51 1262  851 1532  247 1426 1213 1655  240
##  [378]  323 1520  321  122  735 1459 1099 1642   77   34 1542  687 1220
##  [391] 1149  491  205 1509  980  326  365  679 1556  534 1035  652  641
##  [404]  159  800  322 1009   93  676 1484  838 1508  937 1484 1536  473
##  [417] 1655 1160  249 1607  954  602 1276 1096  344  625  771  554  543
##  [430]  256  705  906 1673 1209  951  185  708 1583 1170 1176  514 1100
##  [443] 1314 1593 1434 1589  139  330  746 1364 1117  503  861  881  213
##  [456] 1500  481 1169 1342 1533  283  403 1634  933 1536 1497 1624 1210
##  [469] 1090 1187  777  360 1561  395 1216  922  681 1231  427  748 1351
##  [482]  252 1229  420  887  776  148 1120  925   37 1156  224  491  786
##  [495]  925  766 1276  633 1296  506 1419 1181 1624  813  958  767  310
##  [508] 1628  306 1452  978 1273   80  822  599 1214 1340  927  268  790
##  [521]  587   27 1574  687  863 1473 1304    9 1027 1050 1302 1711  538
##  [534]  209  152 1522  578 1416  217  402  435 1371 1475   71 1548  262
##  [547] 1298 1237   28  384 1523 1068  873 1698  534  589 1459 1568 1718
##  [560] 1337 1621   84  567  887   79  859  818 1687   20  966  991   98
##  [573]  282  414  508 1660  830 1327 1012  258  409  349  716 1272  381
##  [586]  102 1050 1339  912  710  221  966 1348 1499 1378  711  738 1357
##  [599]  255  430 1100  386 1720  874  168 1246 1557  409 1022 1580  546
##  [612] 1433  889 1228 1033  714 1114  887 1372  652  254  916  580 1420
##  [625] 1291 1722 1649  150  699 1672   66  276  944  903  673 1111 1295
##  [638] 1418 1348  313 1672 1355  205   90  224 1201  878  438  397  603
##  [651]  804  630  921  608  943 1247  713   98  463  798 1242  676  941
##  [664]  129  217   54 1620 1444 1295  823  133  582  121  765   47 1374
##  [677] 1088 1247  538 1256  978  868 1170 1184 1676  283   39  244 1645
##  [690] 1516 1016 1653 1674 1674 1077 1035  153  448  794  299 1718 1670
##  [703]  831  426  537 1649  740 1362 1677 1093 1181    9  399  152  308
##  [716] 1369  634 1023 1537 1370 1599 1010 1468  959  407  747  528 1537
##  [729] 1139 1100  444 1424  851  242 1461  915  639  254   10  869  572
##  [742]  217 1571 1325  846 1706 1257  209  885 1174 1207 1321  722  760
##  [755] 1284 1093 1315 1340  280   93 1721 1426   43  230 1450 1066  561
##  [768]  756  718 1189 1226 1225  827  619   31  591  917  513  611  736
##  [781]   14   25 1359 1399   75  394 1412 1715  591  183 1267  980 1111
##  [794] 1568 1283  825 1530  867 1004 1496  918  878  764  166  844 1469
##  [807] 1588 1152  887  640  948  707  384   59 1629  728 1080  680  494
##  [820] 1414  917 1270 1068 1635  966 1637  597  955 1284 1360  797  538
##  [833]  339 1251  777  860  803 1097 1237 1526  886  183 1444 1075  575
##  [846]  738  800  369  723  389 1393  880 1578  361 1478 1666  694 1121
##  [859]  418  994 1652 1578  104 1454  269  163 1667 1345  433  432   73
##  [872] 1516  144 1314 1348  388 1303  467  246 1334  634  391   65 1694
##  [885] 1359  604  208 1131 1230  113 1335  376 1699 1030  193  305 1144
##  [898] 1443  715  246  763  423  231  188 1077  779  425 1490 1564 1334
##  [911] 1444 1688  394  750 1025  961  588   91 1059 1564  317  370 1034
##  [924]  900  760 1692 1056 1139 1226  399  506 1205  630    1   67  691
##  [937]  522 1432 1346  764 1030 1174 1687   37  904 1712  134  515  789
##  [950]  195  220 1032  130  685  515 1453 1555 1424  408 1220  518 1672
##  [963] 1441   77  225 1700  874  504 1260 1700  531  285 1520 1453  101
##  [976] 1671  788  976  809  982 1557  410 1339  824 1586  932  627  733
##  [989]  873  782  646 1359  254 1325  971 1644  728  982 1156   27 1471
## [1002]  450   57  785  843  845 1266  648 1520  308  903  493  864 1469
## [1015]  376  985  590 1431  233  884 1261 1236  431 1467  297 1654 1047
## [1028] 1326  353  299 1051  114   44 1064  188   53 1445  261 1432  556
## [1041]  567 1060 1512  216  233  670 1264 1688  953  714  261 1200 1409
## [1054] 1643   22  994  223  854  749  522  520 1357  231 1255  444 1548
## [1067]  125 1174 1108  321 1646 1659  192 1448 1213 1206 1462 1087   64
## [1080]  457   41  261 1119 1644  241  400  964 1013  493  232  591 1077
## [1093] 1233 1563  430 1373 1476 1126 1551  234 1583  693    4 1611 1250
## [1106]  297 1501  922   78 1382  710  805  726 1059 1284 1425  861 1322
## [1119]  297  507 1511 1497 1266  209  794  819 1245 1466  432 1170  203
## [1132] 1358 1318 1633   15  842  653  867  824  378 1515  832   83 1090
## [1145]   77  443  184  433  706 1512   76 1095 1664  304 1257   18  578
## [1158] 1002  209 1165  223  881  437  482 1147  561  691 1436  687   44
## [1171] 1257  576  951  997  210 1380    9 1656  170 1432   34  757 1310
## [1184]   87 1160  659  310  149 1709 1626  559 1260 1048 1231  308  174
## [1197]  160  387 1425   82  389   30 1294 1069  264 1684   43 1381  378
## [1210] 1238 1470  197  431  699  734  503 1213 1066 1521 1359 1463  188
## [1223]  336  909  406  700  681   96  102 1182  779  217 1572  863 1707
## [1236]  987 1047 1457 1366  387 1264  794  799  292 1450  130  756 1494
## [1249]  621  766 1294  255  439  286  368  583  940 1524  294   82 1688
## [1262] 1093  656   95 1569  229  158  639  556 1533  832 1677 1058  972
## [1275]  965 1086  253 1378 1289 1024  690  848   94 1683  908 1117  228
## [1288] 1215  672 1687  132  642  404 1661  689  972   59  604 1376  991
## [1301]  796  437 1082   50  250  246 1093  270 1203  573 1114  531 1659
## [1314] 1369  663   17 1592    7  683  453  214  836  644  618 1465 1073
## [1327]   45  109   36  640 1477  282 1291 1712  817 1469 1454 1064  326
## [1340]  850 1306  587   29 1166 1541   11  718   36  471  247 1148 1597
## [1353]  555 1474 1264  885 1087 1291  624  736 1369 1512 1493  862 1049
## [1366]  628  674  881  850 1052 1427 1021 1703  728  121 1684 1160  533
## [1379] 1221 1704 1703  995 1029  484  988  277 1582   53 1134 1478 1179
## [1392]  789  681 1467  361 1706 1708  839  244  722  453 1384 1315  658
## [1405]  691  247  930  373  439  909 1666  579 1509  108  812 1389  886
## [1418]  846 1547 1358 1507  454 1156  869 1425  896  943  248 1285 1455
## [1431]  828  896 1391 1244 1422   42 1291 1610 1131   24 1565  992  463
## [1444]  902  108 1011   90 1645  392  874  134  260  840  822  324  746
## [1457]   22 1179 1311 1563  550   45  686  733  906 1638  260  558  764
## [1470]   24  327 1342  226 1508  888  533  505  415 1137 1728  126  109
## [1483] 1496   48  825 1558 1425  939 1656  928 1557  596  394  577  991
## [1496]  578 1211 1648  988  579  477 1267 1493  820  181 1477  609 1203
## [1509] 1083  807  798 1384 1679   20  406  524  275 1244 1399  733 1565
## [1522] 1435 1339  486  270  960  508 1023  363 1581  797 1178  274 1622
## [1535] 1396 1726  377 1624 1199  529   10  663  794  667  740  731 1437
## [1548] 1573 1289  721  512  212  246 1021 1538   27 1398   90 1023 1366
## [1561] 1221 1052 1327  792   52  926  927 1132 1051 1720  176  775  203
## [1574]  945 1507  232  161  248  408 1208 1520  129  475  407  680  586
## [1587] 1603  245  191 1510 1214  584  874 1488 1182  911 1541 1055  666
## [1600]  600  847 1181  351 1166  654  822  848  226  588  589  658 1608
## [1613] 1372 1369  400 1211 1689 1030  138 1001  308  152  575 1485  947
## [1626]  675 1414  972  920  994 1460  447 1319  713  196  154 1399 1233
## [1639] 1026  238  602 1031  194  639   54 1319 1677   74  148  126  707
## [1652] 1023  302  382 1527   28  116 1277 1445 1243  720  683  189  421
## [1665]  594  168  791  532 1524  651  894  202  485  394 1307 1008 1344
## [1678]   83  431  737 1184  638   46  765 1631  478 1497  428  646 1671
## [1691]  847  548  372  326 1530  627 1007  519  873 1642  624  470  256
## [1704]  551  262  834 1256 1067  782  893 1145 1084  808  406  121  953
## [1717]  643 1630  227  408  792  390 1299    1  385 1677  145 1524
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 521 unacc (0.22627315 0.03703704 0.69849537 0.03819444)  
##      2) safety=high,med 1154 521 unacc (0.33882149 0.05545927 0.54852686 0.05719237)  
##        4) persons=4,more 783 392 acc (0.49936143 0.08173691 0.33461047 0.08429119)  
##          8) buying=low,med 372 178 acc (0.52150538 0.17204301 0.12903226 0.17741935)  
##           16) maint=high,vhigh 196  53 acc (0.72959184 0.00000000 0.19387755 0.07653061)  
##             32) doors=3,4,5more 152  29 acc (0.80921053 0.00000000 0.11184211 0.07894737)  
##               64) lug_boot=big,med 102  15 acc (0.85294118 0.00000000 0.02941176 0.11764706)  
##                128) buying=med 55   1 acc (0.98181818 0.00000000 0.01818182 0.00000000)  
##                  256) doors=4,5more 34   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 21   1 acc (0.95238095 0.00000000 0.04761905 0.00000000)  
##                    514) safety=high 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) safety=med 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                     1030) lug_boot=big 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) lug_boot=med 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2062) persons=more 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2063) persons=4 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) buying=low 47  14 acc (0.70212766 0.00000000 0.04255319 0.25531915)  
##                  258) safety=med 32   2 acc (0.93750000 0.00000000 0.06250000 0.00000000)  
##                    516) maint=high 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    517) maint=vhigh 13   2 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                     1034) doors=4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1035) doors=3 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                       2070) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2071) persons=4 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4142) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4143) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  259) safety=high 15   3 vgood (0.20000000 0.00000000 0.00000000 0.80000000)  
##                    518) maint=vhigh 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) maint=high 12   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               65) lug_boot=small 50  14 acc (0.72000000 0.00000000 0.28000000 0.00000000)  
##                130) safety=high 29   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) safety=med 21   7 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                  262) buying=low 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    524) maint=high 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) maint=vhigh 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) buying=med 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) doors=2 44  23 unacc (0.45454545 0.00000000 0.47727273 0.06818182)  
##               66) lug_boot=big 15   3 acc (0.80000000 0.00000000 0.00000000 0.20000000)  
##                132) maint=vhigh 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) maint=high 8   3 acc (0.62500000 0.00000000 0.00000000 0.37500000)  
##                  266) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) buying=low 5   2 vgood (0.40000000 0.00000000 0.00000000 0.60000000)  
##                    534) safety=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    535) safety=high 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               67) lug_boot=med,small 29   8 unacc (0.27586207 0.00000000 0.72413793 0.00000000)  
##                134) safety=high 12   6 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  268) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) lug_boot=small 7   1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)  
##                    538) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    539) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) safety=med 17   2 unacc (0.11764706 0.00000000 0.88235294 0.00000000)  
##                  270) maint=high 6   2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                    540) lug_boot=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1080) buying=low 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1081) buying=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    541) lug_boot=small 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  271) maint=vhigh 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 176 112 good (0.28977273 0.36363636 0.05681818 0.28977273)  
##             34) safety=med 92  45 acc (0.51086957 0.42391304 0.06521739 0.00000000)  
##               68) lug_boot=small 28   6 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                136) doors=3,4,5more 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 11   5 unacc (0.45454545 0.00000000 0.54545455 0.00000000)  
##                  274) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 64  25 good (0.39062500 0.60937500 0.00000000 0.00000000)  
##                138) buying=med 31  12 acc (0.61290323 0.38709677 0.00000000 0.00000000)  
##                  276) maint=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 16   4 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                    554) lug_boot=med 9   4 good (0.44444444 0.55555556 0.00000000 0.00000000)  
##                     1108) doors=2,3 5   1 acc (0.80000000 0.20000000 0.00000000 0.00000000)  
##                       2216) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2217) doors=3 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                         4434) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4435) persons=more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1109) doors=4,5more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) lug_boot=big 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 33   6 good (0.18181818 0.81818182 0.00000000 0.00000000)  
##                  278) doors=2 7   3 acc (0.57142857 0.42857143 0.00000000 0.00000000)  
##                    556) lug_boot=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 26   2 good (0.07692308 0.92307692 0.00000000 0.00000000)  
##                    558) doors=3 8   2 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                     1116) lug_boot=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                       2232) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2233) persons=more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1117) lug_boot=big 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 18   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 84  33 vgood (0.04761905 0.29761905 0.04761905 0.60714286)  
##               70) lug_boot=small 22   7 good (0.13636364 0.68181818 0.18181818 0.00000000)  
##                140) persons=4 14   1 good (0.07142857 0.92857143 0.00000000 0.00000000)  
##                  280) buying=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    560) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 12   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) persons=more 8   4 unacc (0.25000000 0.25000000 0.50000000 0.00000000)  
##                  282) doors=3,5more 4   2 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    564) maint=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    565) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 62  11 vgood (0.01612903 0.16129032 0.00000000 0.82258065)  
##                142) doors=2 15   7 good (0.06666667 0.53333333 0.00000000 0.40000000)  
##                  284) lug_boot=med 9   1 good (0.11111111 0.88888889 0.00000000 0.00000000)  
##                    568) buying=med 3   1 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                     1136) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) buying=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 47   2 vgood (0.00000000 0.04255319 0.00000000 0.95744681)  
##                  286) doors=3 17   2 vgood (0.00000000 0.11764706 0.00000000 0.88235294)  
##                    572) persons=4 7   2 vgood (0.00000000 0.28571429 0.00000000 0.71428571)  
##                     1144) lug_boot=med 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1145) lug_boot=big 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    573) persons=more 10   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  287) doors=4,5more 30   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 411 197 unacc (0.47931873 0.00000000 0.52068127 0.00000000)  
##           18) maint=low,med 211  51 acc (0.75829384 0.00000000 0.24170616 0.00000000)  
##             36) lug_boot=big,med 135   7 acc (0.94814815 0.00000000 0.05185185 0.00000000)  
##               72) lug_boot=big 81   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) lug_boot=med 54   7 acc (0.87037037 0.00000000 0.12962963 0.00000000)  
##                146) safety=high 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) safety=med 19   7 acc (0.63157895 0.00000000 0.36842105 0.00000000)  
##                  294) doors=4,5more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) doors=2,3 9   2 unacc (0.22222222 0.00000000 0.77777778 0.00000000)  
##                    590) persons=more 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1180) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1181) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    591) persons=4 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 76  32 unacc (0.42105263 0.00000000 0.57894737 0.00000000)  
##               74) safety=high 34   2 acc (0.94117647 0.00000000 0.05882353 0.00000000)  
##                148) doors=3,4,5more 30   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  298) buying=vhigh 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) buying=high 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 42   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 200  37 unacc (0.18500000 0.00000000 0.81500000 0.00000000)  
##             38) buying=high 97  37 unacc (0.38144330 0.00000000 0.61855670 0.00000000)  
##               76) maint=high 50  13 acc (0.74000000 0.00000000 0.26000000 0.00000000)  
##                152) lug_boot=big,med 30   2 acc (0.93333333 0.00000000 0.06666667 0.00000000)  
##                  304) safety=high 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) safety=med 12   2 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    610) doors=4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) doors=2,3 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                     1222) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1223) persons=4 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                       2446) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2447) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) lug_boot=small 20   9 unacc (0.45000000 0.00000000 0.55000000 0.00000000)  
##                  306) safety=high 12   3 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    612) doors=3,4,5more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) doors=2 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1226) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) safety=med 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 47   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 103   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 371   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 574   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[17]]
## $bindx
##    [1]   19  839  609  877  744 1454  762  313   67  457  139 1400 1416
##   [14] 1702 1046  692   16  738 1297  458 1392  287 1039   71  724   28
##   [27] 1300 1040  409  831   12 1680 1014  627 1401 1331 1079  802 1236
##   [40] 1244  692  376  936 1132 1720  783  680 1325   16  955  865 1671
##   [53]  252  236  404 1053  220  728  565  224   48 1287  941  626 1409
##   [66]  111 1089 1540  757  357 1075  812  352 1125  221 1305 1124   71
##   [79] 1716  190  404 1284 1595  185  194  576 1375  691  805 1065  901
##   [92]   19  377  458 1189 1501 1237  152  393  493  953 1024  562 1670
##  [105]  360  998  980   79  160 1533 1245 1589   13 1266 1159  909 1126
##  [118] 1663  640 1320   11   48  268  646  918 1016  117  775 1350 1052
##  [131] 1537  878 1705  562   14 1179 1484  287  654  452  612 1697 1057
##  [144]  381  417  518  182  283  571  695   23  483 1233  444  507  747
##  [157]  123 1341 1490  588  999 1325  487  523  223 1369  113  232  474
##  [170]  441 1068 1628 1500  299 1098  488  614 1234 1043 1493 1321  195
##  [183]  235 1628  954 1666 1485  345  904 1266  469  765 1717  304  835
##  [196]  966  257  944  106 1666 1173 1473  929 1511  223  423  651 1473
##  [209]  618  682  509  239  827  618  528  361  304  517  727 1623  724
##  [222] 1272  823  254 1010 1702  143 1669 1236 1032  314 1352  884   80
##  [235]  935  452   82  182 1704 1464 1065  815 1399 1509   17  778  383
##  [248] 1160  521   31 1169  367  456 1268 1374  657 1072  212 1436 1088
##  [261]  312 1025 1392  425  906  273  909  907  146 1530  778  560 1633
##  [274]  938 1084  117 1535 1113 1717 1090 1485  716  382  501  497  793
##  [287]  467 1567  358 1282   53  217  235 1599  349  494  303 1092  305
##  [300]  196  940 1377 1226    5  392 1122  414  589 1726  707  335 1191
##  [313] 1626  760  499 1074    7 1451  858 1245   19  993 1406 1174  501
##  [326]  648 1350  205 1605   21  582  869  312 1083 1211    1  781 1652
##  [339] 1132 1687 1557  906  270  425 1453 1581  572   47  947  304 1585
##  [352]  169 1011  676  996   62 1663 1267  630 1348   99  722 1401  470
##  [365] 1689 1112 1462  945  171  523  885  955  136 1120 1252  393 1716
##  [378]  536 1491  741 1391  896 1178 1346 1350  702 1014  712  369  574
##  [391]  175 1388  506  488 1576  863 1122  684  364  935  687  805 1548
##  [404]  308 1003  735  611  434  905 1467  700  609 1179  490 1688  207
##  [417]  682  613 1572  331  798 1562  240  544 1366  158  345 1201 1175
##  [430] 1040 1115  324 1314 1380  500  691  879  816  909  625  553   50
##  [443]   34  399 1041 1675  636 1632  781  337 1537  405  496  588 1633
##  [456]  532  546 1489  277  480 1029 1240  350 1534  524  926 1065  782
##  [469]  122 1453 1701 1075 1102 1083  673 1466 1427  807 1158  450  411
##  [482]  125 1002  146 1255  532 1057  334 1664  771  662  182   68   81
##  [495] 1481  823  304 1065  784 1709  425 1262  535  279  518  376  413
##  [508] 1130  894  252  613  316 1011   67  236 1036  329 1248   74  459
##  [521] 1517 1187   73  926 1355  158  691  495 1059  990 1455  768  310
##  [534] 1227 1001  459 1675 1122  339  636  546  564  351  331  569  367
##  [547]  359  955  248 1639  927  552  851 1573   14 1114  935  978  797
##  [560]  737   41 1177  856  820  667  517  912 1486 1324 1703 1593  980
##  [573]  683  391  494  416  187  125   89  715 1080  616  338  593  781
##  [586]  551 1059  283  463 1244  566  831 1336  212  465  310 1186   54
##  [599]    2  215  286  114 1434  126  127  170  634 1133  220  164  207
##  [612]  289  591 1018 1108 1550 1352    5  842 1285 1340 1234  770 1322
##  [625]  922  712 1549 1624 1150  313 1140   75 1717 1300 1195   24   29
##  [638]  253 1313  137 1299  665  133  670  273  313  437  679   48  277
##  [651] 1355 1562 1143   59  196  435  312 1728 1039  325 1221 1256 1041
##  [664] 1074   48 1607 1550 1443 1012  417 1301  700  649 1707 1583  810
##  [677]  548  331 1126  353  292 1524 1721  635  845 1333 1039  666 1175
##  [690]  571 1055  675 1461  309  407 1676 1380  994  707 1720  187 1161
##  [703]  995  764  731 1175 1381 1116  109  437  967 1574  274  352 1151
##  [716]    1  406 1312  344  467  704  350  385  463 1479  478 1617 1149
##  [729] 1067  563 1646  209 1444  158 1355  592   47  235  607  468  500
##  [742] 1334  657  695 1458  271  390 1551  218  670 1038  392 1114  968
##  [755]  214  650 1536 1398  502  719  691 1633 1524   37 1219 1485 1150
##  [768]  401  766  726 1062  106  335 1149 1091 1221  322  582  719  778
##  [781] 1455  516  304 1015   97  449  931  737 1133  492  438 1643   54
##  [794] 1717  583   97  391 1231  280  825  215 1658 1327  826 1589   40
##  [807] 1382  197 1062 1126 1672  490  901 1662  723 1368  258 1022  789
##  [820]  623  208  380  282  658  461  215 1518 1283  468  573  528  377
##  [833]  889  589 1213 1087 1486  404  820   58  704  211 1022 1014  989
##  [846] 1154  965 1011 1175 1086   46  606 1243   99 1081 1551 1447 1331
##  [859]  124  307  298 1455  310 1707 1636  627    4 1728 1390 1016  167
##  [872]  561  181 1028 1008 1594  142  819  651  253  955 1632 1693 1727
##  [885] 1101 1208 1131 1514 1687 1203   53  945 1382  740   96  520  709
##  [898]  920   70 1023 1592   32 1662  785  746  168   61  914  230  657
##  [911]   57  902 1538  425 1112 1171  106  580 1009  154 1448  550  179
##  [924]  697  607 1546 1305   93 1672  577  909 1565  745  846  613  392
##  [937] 1040  629 1476  995  383 1170  795  798 1148  352   76  114  874
##  [950]  334  751 1407 1449 1303  788  149  339  811  329  875 1456 1366
##  [963] 1050 1459 1720  992 1210 1578 1681   15  937   32 1008  254  935
##  [976] 1169 1192 1113 1410 1084 1100 1350  424 1337 1094 1405 1419 1709
##  [989]   69 1274 1014  573  788  220 1027  216 1504  398 1017  619  715
## [1002]  807   82  506 1116  296  575 1496 1571 1189 1593 1396  760 1403
## [1015] 1554 1407 1411 1430 1307 1236  345   18 1633  195  792 1356  490
## [1028]  135 1330 1684  206 1397  649  422 1665 1586  815  579  982  570
## [1041]  462  709 1704 1121 1135 1230  790 1031  743 1397  344 1055   42
## [1054] 1709 1469  816 1476  979  108 1616 1679  904  513  898 1676  314
## [1067]  681  925 1509  499 1519  880   42 1717 1448  510 1648 1362  773
## [1080] 1580 1473 1345  718  192 1427 1610  961 1360 1491 1336  627 1566
## [1093] 1200 1451  355  504  747 1260 1362  861 1030 1069  775   88  316
## [1106] 1105 1385  234  475  642 1493 1234  446  577  466 1703   22  473
## [1119]  101 1448  485 1722   53 1253  844  432 1333  384 1013 1023 1671
## [1132]  302 1457  567 1550 1192 1567 1300  621  324 1589  461  148 1056
## [1145]  875 1598  894  429 1232   67  538 1362  755  666 1490  658 1237
## [1158]   54  294 1070 1304 1480  973  991  852 1194   46  631 1515 1299
## [1171]  603  518  556   32  895  389  688 1213 1479  178 1489  608  854
## [1184]   40  778 1575 1709  681  143  813  120  687  606 1695  453   62
## [1197]  175  826  168  636  456  784 1535  543  890  491 1258  139  383
## [1210] 1691  776 1479  366 1589  885 1247 1423 1416 1174 1648  457 1624
## [1223]  948  111  753 1687 1590  553  147  575 1028  982 1713 1508    6
## [1236] 1351 1726  609  865  187 1649  769  216 1669 1728  578 1037  558
## [1249]  330  527 1719  215  623  188  415  106  838  949 1581 1407  137
## [1262]  715  955 1065  943  664 1308  994 1475 1038  883  477 1315  802
## [1275] 1245  572 1146  293  976  305  556  701  345   10 1248 1186   97
## [1288]  703  913 1286 1296 1693  921 1352  850  701 1037 1651 1119  893
## [1301] 1503 1498  742 1184 1538 1465 1347 1581  275 1454  102 1318  869
## [1314] 1676  166 1508 1198 1383  277   39  784  430 1581 1402 1209  815
## [1327]  427 1087  608 1635  940  292    5  849  542 1121  281  184 1177
## [1340]  397  631  416  589 1106  599 1135 1481 1405  228   92  630  850
## [1353]   65  550  672   27  681 1037 1211 1606 1066  830  458  709 1218
## [1366] 1523  610  388   62 1240  270  813  973 1545 1152  515  443 1515
## [1379]  618 1635  707   44 1633  971  888  667 1171  164  112  261  759
## [1392]  301 1681 1211   11  104    4  955  209  904 1341  731  836  489
## [1405]  385  328 1066 1126  927  896 1242 1571  983 1699   60  642 1406
## [1418] 1156  926   53  576 1191 1689 1200  660  641 1388  604  241  402
## [1431] 1482  852  247 1569   33 1360 1605 1062  624  414 1581  582 1613
## [1444]   81 1167 1606  464 1024  831   96 1649   63 1224  704 1488   15
## [1457] 1619 1552 1641  466 1378 1675 1182  166 1029 1671 1247 1081  898
## [1470] 1423  163  165 1156   65  232 1608 1494   18   93  762  832  219
## [1483]   30  422  272 1602  607  106 1081  388   18  517 1412 1652 1291
## [1496]  210  185   43  996  718 1069  855 1442  557  375 1398  413 1341
## [1509] 1245   50  607  871  359 1434 1617  282 1389 1213  235 1589 1298
## [1522]  405  877 1696 1021  258  958 1636 1343  924 1139  846  115  651
## [1535] 1251 1099 1578  356 1120 1340   16  266  166  592 1618   19 1462
## [1548]   11 1465  211 1619 1717  500 1168  292 1624  768  991  390  829
## [1561]  398 1369  659 1724 1539  238 1447  241  160 1175 1039  466  421
## [1574] 1197 1380  504 1672 1237 1225  424 1462  688  160  713 1603  462
## [1587]  324  175 1394 1391 1262  752  718  637 1374  330 1063 1266  983
## [1600]  916  667  556 1386  356  324  567 1184 1487 1042 1204 1013  516
## [1613] 1558 1433 1115 1340 1002  442  160 1052 1131 1230  474 1495 1690
## [1626]  964 1170  383  533  926 1202  109  828 1124  928  511  525  622
## [1639]  832  432  339 1227  370  883  895 1392 1162  511   75 1427 1723
## [1652] 1407 1303  696 1328 1533  189  818 1553 1622 1486  409  804 1700
## [1665]  938   52  964  452  874  344 1181 1105 1587 1452  413  422  701
## [1678]  363 1477 1264  133 1115 1501  814 1577 1398  676  611  850  700
## [1691]   33 1448  538 1147  264 1550  523 1367  556 1017  501 1476 1487
## [1704]  111  342 1223  880  666   88  511  405  788   78 1015  760 1222
## [1717] 1026 1095  418 1120 1540  827  643  223 1461 1441   10 1600
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 487 unacc (0.20717593 0.03587963 0.71817130 0.03877315)  
##      2) safety=high,med 1095 487 unacc (0.32694064 0.05662100 0.55525114 0.06118721)  
##        4) persons=4,more 716 358 acc (0.50000000 0.08659218 0.31983240 0.09357542)  
##          8) buying=low,med 365 169 acc (0.53698630 0.16986301 0.10958904 0.18356164)  
##           16) maint=high,vhigh 193  52 acc (0.73056995 0.00000000 0.17098446 0.09844560)  
##             32) lug_boot=big,med 133  26 acc (0.80451128 0.00000000 0.05263158 0.14285714)  
##               64) maint=vhigh 56   3 acc (0.94642857 0.00000000 0.05357143 0.00000000)  
##                128) lug_boot=big 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) lug_boot=med 23   3 acc (0.86956522 0.00000000 0.13043478 0.00000000)  
##                  258) safety=high 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) safety=med 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    518) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) doors=2,3 5   2 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                     1038) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1039) persons=4 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) maint=high 77  23 acc (0.70129870 0.00000000 0.05194805 0.24675325)  
##                130) buying=med 39   4 acc (0.89743590 0.00000000 0.10256410 0.00000000)  
##                  260) safety=high 19   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) safety=med 20   4 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    522) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) lug_boot=med 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                     1046) doors=4,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) doors=2,3 6   2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                       2094) doors=3 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4188) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4189) persons=4 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                       2095) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) buying=low 38  19 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                  262) safety=med 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) safety=high 20   1 vgood (0.05000000 0.00000000 0.00000000 0.95000000)  
##                    526) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    527) doors=3,4,5more 19   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 60  26 acc (0.56666667 0.00000000 0.43333333 0.00000000)  
##               66) safety=high 32   3 acc (0.90625000 0.00000000 0.09375000 0.00000000)  
##                132) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  266) buying=low 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) buying=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 28   5 unacc (0.17857143 0.00000000 0.82142857 0.00000000)  
##                134) buying=low 12   5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)  
##                  268) maint=high 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 16   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 172 110 good (0.31976744 0.36046512 0.04069767 0.27906977)  
##             34) safety=med 80  34 acc (0.57500000 0.40000000 0.02500000 0.00000000)  
##               68) buying=med 39   7 acc (0.82051282 0.12820513 0.05128205 0.00000000)  
##                136) maint=med 25   1 acc (0.96000000 0.00000000 0.04000000 0.00000000)  
##                  272) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                    546) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) persons=more 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1094) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1095) lug_boot=small 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) maint=low 14   6 acc (0.57142857 0.35714286 0.07142857 0.00000000)  
##                  274) lug_boot=med,small 11   3 acc (0.72727273 0.18181818 0.09090909 0.00000000)  
##                    548) doors=2,3,4 10   2 acc (0.80000000 0.10000000 0.10000000 0.00000000)  
##                     1096) doors=4 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                       2192) lug_boot=small 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2193) lug_boot=med 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1097) doors=2,3 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                       2194) lug_boot=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2195) lug_boot=small 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4390) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4391) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    549) doors=5more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  275) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) buying=low 41  14 good (0.34146341 0.65853659 0.00000000 0.00000000)  
##                138) lug_boot=small 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                139) lug_boot=big,med 31   4 good (0.12903226 0.87096774 0.00000000 0.00000000)  
##                  278) doors=2 6   3 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    556) lug_boot=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 25   1 good (0.04000000 0.96000000 0.00000000 0.00000000)  
##                    558) doors=3 6   1 good (0.16666667 0.83333333 0.00000000 0.00000000)  
##                     1116) persons=4 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2232) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2233) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1117) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 19   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 92  44 vgood (0.09782609 0.32608696 0.05434783 0.52173913)  
##               70) lug_boot=small 31  10 good (0.16129032 0.67741935 0.16129032 0.00000000)  
##                140) persons=4 19   4 good (0.21052632 0.78947368 0.00000000 0.00000000)  
##                  280) buying=med 8   4 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    560) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) persons=more 12   6 good (0.08333333 0.50000000 0.41666667 0.00000000)  
##                  282) doors=3,4,5more 7   1 good (0.14285714 0.85714286 0.00000000 0.00000000)  
##                    564) doors=5more 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1128) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1129) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    565) doors=3,4 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 61  13 vgood (0.06557377 0.14754098 0.00000000 0.78688525)  
##                142) doors=2,3 27  13 vgood (0.14814815 0.33333333 0.00000000 0.51851852)  
##                  284) lug_boot=med 18   9 good (0.22222222 0.50000000 0.00000000 0.27777778)  
##                    568) persons=4 12   4 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                     1136) maint=med 5   1 acc (0.80000000 0.20000000 0.00000000 0.00000000)  
##                       2272) buying=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 6   1 vgood (0.00000000 0.16666667 0.00000000 0.83333333)  
##                     1138) doors=2 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 9   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 34   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 351 162 unacc (0.46153846 0.00000000 0.53846154 0.00000000)  
##           18) maint=high,low,med 245  83 acc (0.66122449 0.00000000 0.33877551 0.00000000)  
##             36) safety=high 127  16 acc (0.87401575 0.00000000 0.12598425 0.00000000)  
##               72) buying=high 68   1 acc (0.98529412 0.00000000 0.01470588 0.00000000)  
##                144) doors=3,4,5more 52   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=2 16   1 acc (0.93750000 0.00000000 0.06250000 0.00000000)  
##                  290) lug_boot=big,med 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) lug_boot=small 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    582) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) buying=vhigh 59  15 acc (0.74576271 0.00000000 0.25423729 0.00000000)  
##                146) maint=low,med 48   4 acc (0.91666667 0.00000000 0.08333333 0.00000000)  
##                  292) doors=3,4,5more 36   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) doors=2 12   4 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    586) lug_boot=big,med 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) lug_boot=small 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                     1174) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) maint=low 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) maint=high 11   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 118  51 unacc (0.43220339 0.00000000 0.56779661 0.00000000)  
##               74) lug_boot=big,med 78  27 acc (0.65384615 0.00000000 0.34615385 0.00000000)  
##                148) maint=low,med 50   7 acc (0.86000000 0.00000000 0.14000000 0.00000000)  
##                  296) lug_boot=big 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) lug_boot=med 17   7 acc (0.58823529 0.00000000 0.41176471 0.00000000)  
##                    594) doors=4,5more 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) doors=2,3 8   1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)  
##                     1190) persons=more 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2380) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2381) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1191) persons=4 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) maint=high 28   8 unacc (0.28571429 0.00000000 0.71428571 0.00000000)  
##                  298) buying=high 9   1 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                    596) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) persons=more 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1194) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) buying=vhigh 19   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 40   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 106   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 379   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 633   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[18]]
## $bindx
##    [1] 1558  493  959  105  826 1677  164  667  466 1497  657 1118  384
##   [14] 1717  665 1420 1045   36 1627 1708 1338 1719  324  660 1285  119
##   [27]   27  309  269 1715 1221 1334 1217  404 1018 1493   19 1513  744
##   [40] 1214 1344  163  487  632 1143 1134  842 1178  740  471 1509 1342
##   [53]  650 1291  751 1583 1350 1076  262  193  920 1360 1491  879 1379
##   [66] 1692 1133  366  835  467  932 1390  511 1527  872 1532  582 1263
##   [79]  969 1553   64 1222 1101 1381  491 1433 1015  807  865  543  745
##   [92]  245  200  988  589  308  495 1282 1155  171  695  427 1052  283
##  [105]  454  679 1437  886  647 1339  216 1310 1530 1257  644  693  283
##  [118]  469  275  317 1647 1354 1297  422 1545  229  359 1339  413 1265
##  [131] 1167  840 1433   91 1045 1226 1556  701 1663  504 1330 1337  145
##  [144]  404 1201 1046 1375 1669  784 1704  161  175  250  413   92  694
##  [157]  484 1707  981 1696 1064  847  183  618  236   49 1010  579  128
##  [170] 1133 1568  306 1549 1569  552  480 1585   15  759  359  815   91
##  [183] 1311  147  983 1624  366 1214 1151 1127  215  762  765  948  341
##  [196] 1471 1013 1481  118   38 1557 1223  379  386  499 1219   47  806
##  [209]  699 1610 1027  884 1148 1240 1585  412   76 1349  382 1553 1394
##  [222]  325  580  247  324  473  893 1423  535 1317 1316  238 1047 1624
##  [235] 1074  526 1551  465 1180  246  753   37 1334 1027 1507  161  451
##  [248]   23 1193  417 1007  117  935  547  962  125 1196 1578 1206  671
##  [261] 1689  306 1470  204  602 1195  691 1576 1236 1556  419   97  517
##  [274]   85  260  366 1138  447 1285 1119  643 1168  944  336 1126  967
##  [287] 1466 1312  453  272  128  233 1405 1511 1633  609 1316  394  300
##  [300]  903 1427  828  171 1716  603  798  489    1  542 1304  611  443
##  [313]  919  567 1646  143 1636 1506  779  256  825 1019  673 1551 1441
##  [326] 1557 1125 1210  758  813 1466  492  547  537 1279 1493 1144 1597
##  [339] 1638  638   54 1587 1384  827  883  633  107  691  698  931 1430
##  [352] 1331  558  919 1397  978 1149  326 1603  453  994 1618  384 1348
##  [365] 1092 1451  595 1020  380  168  878  169  522  776  813 1713 1714
##  [378] 1414  519  893  770 1018  936 1432  256  794 1450  957  983  686
##  [391] 1018  657 1506  732  298 1461  390 1681  660 1483 1625 1658 1525
##  [404]   43  745  342  227 1224   71 1527 1617 1461  879   26 1623  577
##  [417] 1028   74  704  867 1014  373  197  287 1646 1065  246  277 1003
##  [430] 1285 1047  778  225 1184  539 1560 1689 1327  176 1039 1509 1671
##  [443] 1297 1509 1294  876 1188  155  279  757 1246 1179 1325  471  541
##  [456]   68 1460  996 1113  650 1427  726 1357 1710  983  180 1042  293
##  [469]  530 1209  721 1278  879 1641   11  656   78 1401  664  986  859
##  [482]  519 1139  452  787  249  812 1417  506  923  287  826  133 1365
##  [495] 1586 1415 1561 1161 1686 1309 1129  809  512  734  898 1404  474
##  [508]  861 1703 1654  644 1658   49 1681  505 1226  886   97 1699  798
##  [521]  524 1358 1505 1511 1614  688 1037  853  101  996 1000 1688  345
##  [534]  948 1099  805   27  543  667  952  488  399 1670 1364 1640  130
##  [547] 1398  647  314 1685  704  713  399 1101  578  305 1342  577 1225
##  [560] 1578 1204 1267 1690   72  860   23 1418 1446 1480 1065 1404  726
##  [573] 1325  888   49 1070 1349  916  883 1206  371 1251  198  537 1630
##  [586]  523  914  837 1160 1179  382  809  965  204 1256  509  604 1340
##  [599]   22  857  744 1222  695  131  565 1216  294 1613  615 1562  860
##  [612] 1565 1467 1618  338  973  538  951 1526 1194  639  363 1699  785
##  [625]  485 1497  504  533 1724 1604 1279 1720  290  390  926  197   36
##  [638] 1518 1653 1146 1625  112  776   12  153  846  858  974  466  356
##  [651] 1621 1670  880   18  712  725  783 1699  906  291 1048  322  500
##  [664]  215 1321  625  392 1233  677   83 1104  966 1409 1649 1193 1701
##  [677]  864  390  562 1293 1363 1376  261  299  667  540  593  737 1648
##  [690]  995 1235   88 1482 1164 1032  247  436 1219 1579 1408  454 1709
##  [703] 1378  601  420   90  757  182 1253 1435 1143 1523 1357 1610  298
##  [716]   81  178  264 1340 1525  304  513 1382 1335   90 1088 1152 1503
##  [729]  577  927  833  735 1371 1199  954 1631 1455 1716  726 1601 1332
##  [742] 1636 1285  710  717 1510  402 1484  984 1094 1302  273 1558  640
##  [755] 1211  427 1646 1610 1688 1168  185  510 1388 1021  519  613  129
##  [768] 1318 1581  766  639 1484 1463  657  707  745 1431  777 1169  351
##  [781]  200 1086  865 1093  982  734   66 1266 1214   15  904  466 1421
##  [794]  155  558 1193  362  436 1638 1334 1625  290  189  149 1365  174
##  [807] 1468  167 1116 1603 1075  997  322 1552  608  187  227 1519 1127
##  [820]  208 1168  151  884  831  871 1726 1262  930  383 1543  293  665
##  [833]  391  265 1435 1176  503  708  344  625  295  815  534  810 1439
##  [846] 1296 1356 1533  887  856 1605  923  612    9 1372 1451   78 1236
##  [859] 1629  544 1295  289   15 1539  575  979 1062  682 1535 1224 1486
##  [872]  176 1180  642 1438  334 1177 1590  727 1184  466   40  704 1396
##  [885] 1715   86  595 1530  568 1251  879  858  671 1089 1425  508 1625
##  [898] 1585  491  827  748  489  910  774  711 1284 1255   26 1573 1007
##  [911]  247 1182 1663  295   24  885 1437  104  420  249 1699  689  794
##  [924]  511 1121 1576 1507 1555  588 1172  971  239  799  113 1062 1278
##  [937]  855  827 1620  264 1457 1718 1387  837  451  286  955  384  412
##  [950]  655  986   21  682  749  227 1538  701 1382  370 1247  218  285
##  [963]  440 1177  554  911   31  938  488 1146  845  468 1373 1518  637
##  [976]  559   59  107  329  956  545  666  971  898 1488  346   64 1631
##  [989]  818  476  532  368 1317 1245  461  519   37   27   71    6   38
## [1002]  501 1498 1590  287   54 1387 1703 1487 1493 1377  872 1089 1426
## [1015]  570 1052  111    4 1650 1394  105  354 1269 1189  103  401  498
## [1028] 1266  619 1725  699  152  963 1100 1396   82  337  107  726 1503
## [1041]  530  470  789 1378 1016  948   32  336 1195 1709 1224 1610  455
## [1054]  834 1456   42 1261  350 1615 1181  631    5 1335 1321 1542  206
## [1067]    3  418 1103 1060 1468 1484  944  841 1177 1517 1703  116  408
## [1080]  211 1452  215  739  200  808 1626  522 1016  255  261  784 1652
## [1093]  182   43  119 1326   81 1604  925 1260 1513  764  561 1222  519
## [1106]  726  333  630 1097  146  907  978  860  739  335 1256 1238  597
## [1119]  836  910 1334  124  482  669 1174 1254  770 1427  885 1042  999
## [1132]  197 1452  451 1034  978  818 1247  774 1710 1039 1395  156 1722
## [1145]  642  486 1630 1119   53 1432 1621  102 1725  220 1502  201  119
## [1158]  315  237 1376  551 1569   90 1468  162 1702  521  879 1455  479
## [1171]   27  555  891  154  761 1419 1129 1049  162  971 1570 1727  723
## [1184]  795 1084  517 1499  758 1662  489   38 1286  150  632 1234  574
## [1197]  806 1661  940  747 1056  302 1577  407  889   85  338 1045  955
## [1210] 1098 1658 1689  113 1054  133 1031 1304  807  874  678 1555   99
## [1223]  445   59  862 1377  644  115 1255  452  494  594 1098   46 1600
## [1236]  652 1011  793  940 1679 1276  329  128 1242 1266 1164 1557  323
## [1249] 1326 1045 1547  333  592  739  449  709  525  501 1612 1702  957
## [1262]  800 1555 1328  725 1034 1158 1632 1427 1570  192  802  353  663
## [1275] 1346  724  314 1724 1227  345  436 1442  964   54  102  173  732
## [1288]  380  599  323  164 1371 1018 1595  954 1018  477 1151  151   99
## [1301]  649  814 1346 1090 1520   12 1511 1610  295 1314  342 1622 1045
## [1314] 1260   70  359 1475 1289  963  274 1524  392   85  844 1274  884
## [1327] 1711 1242 1316 1005  115 1214  716 1509   73 1445 1241 1382 1045
## [1340] 1662  413  377  672  193 1159  852 1315 1108  931  115 1553 1651
## [1353] 1422 1261 1319 1200   42 1162 1160 1260  159  329  153 1279  684
## [1366] 1312  905 1587 1067  125 1219  384 1641  185  313  102   42 1157
## [1379] 1437  607  856  172 1272  581 1212 1693 1045 1500  573  615 1023
## [1392] 1187  479  921  205   94  595  418 1105 1661 1371 1129 1286  816
## [1405]  705 1690   59 1052 1712 1488 1675  239  819   12 1411  123  902
## [1418] 1532  238   12  281 1385  816  758  667  856 1472 1706  476  278
## [1431]  682  357   75   36 1381 1336 1330 1625  729   66  138  406  944
## [1444]  830  684  686  245 1665  380  800  538 1514 1226  675 1180 1563
## [1457]  741  550  252   36    9 1109 1567  660  602 1598  100 1320  813
## [1470]  303  118  716  836  774  549 1297 1340 1313  745  900 1310  488
## [1483] 1021  277  124  424  179  851  746 1529 1248  601  485  779   72
## [1496]  363  179  105  994 1357 1469  997 1134  689  628 1319 1641 1354
## [1509]    3 1682  340  960 1599  240  852  757  937 1627  786 1533  370
## [1522] 1251 1273  416 1715 1390 1313  923  566  648  704  267  105 1227
## [1535]  209 1045  430 1708 1165  425 1581  438 1215  703  392 1711  925
## [1548] 1184  605  807 1581 1154  697 1695  822  491 1476  716  375 1079
## [1561] 1713  389  514  191  220 1189  334  182 1065  136 1577 1366 1131
## [1574]  862 1052   14  109  694  292 1336  705 1599 1053  416  647 1417
## [1587] 1532  111  355  597 1176    1   60  876 1358 1640  650   18 1727
## [1600]  988  459 1509  489   42 1566  916 1043  791  948 1541 1420  884
## [1613] 1030  978 1061 1077 1126 1213  196  589  341  547 1199 1636  595
## [1626]  898 1621 1404 1047  611 1214 1650  510 1312 1726  973  804  970
## [1639]  424 1308   54 1658  252 1260 1350  184  997  315  928  432 1548
## [1652] 1535  629  181  683  923 1605  987 1050  739 1501  550 1407  221
## [1665]   91 1205  321  906   53 1264  548  805  178 1229 1075 1500 1029
## [1678]  449 1217 1343  210  814 1485  419  185 1373  888  385 1470 1512
## [1691]  962 1166 1334 1280 1109 1106  439   14  795  535  310  405  301
## [1704] 1503 1019  589  869 1346 1186 1327 1335  585  311  632 1532  528
## [1717] 1546  378  937 1342 1700  906 1379  841  602 1498  955  368
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 539 unacc (0.22395833 0.04108796 0.68807870 0.04687500)  
##      2) safety=high,med 1179 539 unacc (0.32824427 0.06022053 0.54283291 0.06870229)  
##        4) persons=4,more 823 436 acc (0.47023086 0.08626974 0.34507898 0.09842041)  
##          8) buying=low,med 423 213 acc (0.49645390 0.16784870 0.14420804 0.19148936)  
##           16) maint=high,vhigh 207  64 acc (0.69082126 0.00000000 0.22222222 0.08695652)  
##             32) lug_boot=big,med 133  30 acc (0.77443609 0.00000000 0.09022556 0.13533835)  
##               64) safety=med 73  12 acc (0.83561644 0.00000000 0.16438356 0.00000000)  
##                128) doors=3,4,5more 55   3 acc (0.94545455 0.00000000 0.05454545 0.00000000)  
##                  256) doors=4,5more 39   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) doors=3 16   3 acc (0.81250000 0.00000000 0.18750000 0.00000000)  
##                    514) lug_boot=big 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) lug_boot=med 8   3 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                     1030) persons=more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) persons=4 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                       2062) buying=low 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4124) maint=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4125) maint=vhigh 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                       2063) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) doors=2 18   9 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  258) buying=low 13   4 acc (0.69230769 0.00000000 0.30769231 0.00000000)  
##                    516) maint=high 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    517) maint=vhigh 6   2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1034) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1035) lug_boot=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  259) buying=med 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) safety=high 60  18 acc (0.70000000 0.00000000 0.00000000 0.30000000)  
##                130) maint=vhigh 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) maint=high 29  11 vgood (0.37931034 0.00000000 0.00000000 0.62068966)  
##                  262) buying=med 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) buying=low 20   2 vgood (0.10000000 0.00000000 0.00000000 0.90000000)  
##                    526) doors=2,3 6   2 vgood (0.33333333 0.00000000 0.00000000 0.66666667)  
##                     1052) persons=4 3   1 acc (0.66666667 0.00000000 0.00000000 0.33333333)  
##                       2104) lug_boot=med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2105) lug_boot=big 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                     1053) persons=more 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=4,5more 14   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 74  34 acc (0.54054054 0.00000000 0.45945946 0.00000000)  
##               66) safety=high 39   5 acc (0.87179487 0.00000000 0.12820513 0.00000000)  
##                132) doors=3,4,5more 30   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 9   4 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##                  266) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 35   6 unacc (0.17142857 0.00000000 0.82857143 0.00000000)  
##                134) maint=high 15   6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  268) buying=low 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) buying=med 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) maint=vhigh 20   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 216 145 good (0.31018519 0.32870370 0.06944444 0.29166667)  
##             34) safety=med 108  49 acc (0.54629630 0.38888889 0.06481481 0.00000000)  
##               68) lug_boot=small 38   7 acc (0.81578947 0.00000000 0.18421053 0.00000000)  
##                136) doors=3,4,5more 26   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 12   5 unacc (0.41666667 0.00000000 0.58333333 0.00000000)  
##                  274) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 70  28 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                138) maint=med 36  12 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                  276) buying=med 18   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 18   6 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                    554) lug_boot=med 7   1 acc (0.85714286 0.14285714 0.00000000 0.00000000)  
##                     1108) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) persons=more 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                       2218) doors=2 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2219) doors=3 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) lug_boot=big 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 34   4 good (0.11764706 0.88235294 0.00000000 0.00000000)  
##                  278) doors=3 7   3 good (0.42857143 0.57142857 0.00000000 0.00000000)  
##                    556) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=2,4,5more 27   1 good (0.03703704 0.96296296 0.00000000 0.00000000)  
##                    558) doors=2 10   1 good (0.10000000 0.90000000 0.00000000 0.00000000)  
##                     1116) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1117) lug_boot=big 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 17   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 108  45 vgood (0.07407407 0.26851852 0.07407407 0.58333333)  
##               70) lug_boot=small 39  15 good (0.17948718 0.61538462 0.20512821 0.00000000)  
##                140) doors=3,4,5more 27   6 good (0.22222222 0.77777778 0.00000000 0.00000000)  
##                  280) buying=med 12   6 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    560) maint=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) maint=low 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) buying=low 15   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                141) doors=2 12   4 unacc (0.08333333 0.25000000 0.66666667 0.00000000)  
##                  282) persons=4 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                    564) buying=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1128) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1129) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    565) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) persons=more 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 69   6 vgood (0.01449275 0.07246377 0.00000000 0.91304348)  
##                142) doors=2,3 31   6 vgood (0.03225806 0.16129032 0.00000000 0.80645161)  
##                  284) lug_boot=med 9   4 good (0.11111111 0.55555556 0.00000000 0.33333333)  
##                    568) persons=4 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 5   2 vgood (0.20000000 0.20000000 0.00000000 0.60000000)  
##                     1138) doors=2 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2276) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2277) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 22   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 38   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 400 177 unacc (0.44250000 0.00000000 0.55750000 0.00000000)  
##           18) maint=low,med 191  47 acc (0.75392670 0.00000000 0.24607330 0.00000000)  
##             36) lug_boot=big,med 129  12 acc (0.90697674 0.00000000 0.09302326 0.00000000)  
##               72) doors=3,4,5more 101   2 acc (0.98019802 0.00000000 0.01980198 0.00000000)  
##                144) doors=4,5more 68   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) doors=3 33   2 acc (0.93939394 0.00000000 0.06060606 0.00000000)  
##                  290) maint=low 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) maint=med 13   2 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                    582) persons=more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) persons=4 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1166) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1167) lug_boot=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) doors=2 28  10 acc (0.64285714 0.00000000 0.35714286 0.00000000)  
##                146) lug_boot=big 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) lug_boot=med 13   3 unacc (0.23076923 0.00000000 0.76923077 0.00000000)  
##                  294) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) safety=med 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 62  27 unacc (0.43548387 0.00000000 0.56451613 0.00000000)  
##               74) safety=high 32   5 acc (0.84375000 0.00000000 0.15625000 0.00000000)  
##                148) doors=3,4,5more 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 10   5 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                  298) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 30   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 209  33 unacc (0.15789474 0.00000000 0.84210526 0.00000000)  
##             38) buying=high 91  33 unacc (0.36263736 0.00000000 0.63736264 0.00000000)  
##               76) maint=high 42   9 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                152) lug_boot=big,med 27   2 acc (0.92592593 0.00000000 0.07407407 0.00000000)  
##                  304) lug_boot=big 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) lug_boot=med 10   2 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    610) doors=4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) doors=2,3 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1222) safety=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1223) safety=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) lug_boot=small 15   7 acc (0.53333333 0.00000000 0.46666667 0.00000000)  
##                  306) safety=high 9   1 acc (0.88888889 0.00000000 0.11111111 0.00000000)  
##                    612) doors=3,4,5more 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1226) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) safety=med 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 49   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 118   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 356   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 549   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[19]]
## $bindx
##    [1]  907  473 1141   78  870 1415 1272 1184  581  218 1706 1270  252
##   [14] 1292  147 1697  559 1556 1208 1630  364  691 1535 1418    8 1030
##   [27] 1679  949  886 1613   62  952  367  661 1392 1686 1723  608   36
##   [40] 1133 1447 1039 1017 1065  419  385  716  888  740 1675  268 1033
##   [53]   83 1258  534  262  123 1431  386  104 1524 1388 1165 1250  248
##   [66] 1072 1120 1611  541  519  186  385 1668 1344  965  441 1645  823
##   [79] 1287  226  794 1724 1031 1325  394  626    7  399 1479 1356  348
##   [92]   80  186  315  389  756  734 1251  422  367  579   95 1000  588
##  [105] 1585 1637 1066  690 1602   97  805  149  344  795 1454 1303  459
##  [118]  854  844  897  748 1413   12 1275  386 1639 1630  133 1121  166
##  [131]  644   14 1659 1202   90 1487 1178 1385 1077  331 1415  289 1188
##  [144]  385 1583 1605   81 1358 1380  316 1399  933   29 1007  346  932
##  [157] 1124 1090 1350  367  208 1056  218 1255  482  107 1345  403  513
##  [170] 1287 1683 1589  519 1386 1043 1667 1441  680  789  256  293  198
##  [183] 1092  187  385 1597  341  346 1548  202 1291  483 1676  787 1023
##  [196] 1203  897  779  734 1486  251  313 1020  558  154   49  352  487
##  [209] 1079 1543 1364 1348 1203  645 1032   56  468 1573  343 1547 1002
##  [222] 1424 1328  874  590 1582  642  358  641  368  102 1472  174  932
##  [235]  778  916  235    9  429  631 1378   24 1635  665 1260 1530  544
##  [248]  807  503 1082  168 1032 1432  966  891 1629  636  295  523  825
##  [261] 1621  552 1301 1190  375 1006 1277  656 1659 1714  819  101  478
##  [274] 1565  164 1658 1713 1394  898 1117  285  178  662 1220 1114  331
##  [287]  915  877 1168 1508  293 1490  583  653 1010  353  624  483 1589
##  [300] 1123  588 1168 1507 1680 1410  816  771  901  854  134 1441 1434
##  [313] 1067  935  292  155  503  385 1082 1528  906  468 1657  227 1141
##  [326] 1312  705   91   64  561 1060  985  787  833  194  387  342  811
##  [339]  185 1328  279 1109   48 1679  728  656  530  629 1664    9 1403
##  [352] 1286  111  578  761 1647 1081   71 1098 1593  272 1363  460  917
##  [365]  158  999 1351  402    4 1294 1453  904  130 1688  458   78  232
##  [378]  392  540  158 1526  891  450 1160 1357  419 1512 1698  940 1415
##  [391]   38  141 1503 1096 1494  189  823  759  650  453  792 1524 1714
##  [404]  294  290   22 1108  288   96  850  141 1072  164  873 1576  304
##  [417] 1035  189 1073 1373  690  607  769  688 1190 1644 1690  823  912
##  [430]   92  614  710  301 1221  461  607 1576 1511 1297  211 1583  478
##  [443]  707  325 1561   64 1261  874 1482  367 1105  780 1652 1200 1510
##  [456]  809  886   61  349 1619  921  245   72 1106 1003 1555  780  687
##  [469] 1066  699  940 1354 1526  223 1019  336  174  989  693 1537  180
##  [482]  763    7 1092 1439 1351 1645 1369  654 1060 1428  231 1197  282
##  [495]   31   85   33  796  297   23 1211  907  223  201  384 1386 1380
##  [508] 1622  428  962 1332   71 1625  444  352  510 1055   36  822  240
##  [521]  497  790  581  578 1045  115 1578  613 1487 1053  995    7   77
##  [534] 1618  741  679  724 1368  270  739 1077 1207 1529 1170  506 1519
##  [547] 1594  957   98 1113 1562  765   27  718  833 1319 1141 1139 1338
##  [560] 1125  150 1428 1176  451 1466  995 1050 1463 1417  357 1296  635
##  [573]  866  603 1268 1518  912 1040 1172  516  787  866 1005 1662 1389
##  [586] 1432  936 1143 1562  795  790  660 1719  321  360  100 1222  110
##  [599] 1061  612 1470  210  621  697   68  582  773 1302  971 1229  592
##  [612]  335  595  265  397  384 1353  473  827  999  849  437 1398   44
##  [625]   93  425 1496  621  732 1515 1582 1344  401 1291 1342 1381  611
##  [638] 1678  573 1207  788  427  127 1648  735 1093  648  266  748 1679
##  [651] 1572  886 1314  934  644 1520  845 1693 1208 1454 1401 1335  235
##  [664]  387 1159 1666  168 1428 1543 1379 1234 1346 1226 1688 1565  823
##  [677]  402 1095 1271  282 1325 1361  858 1300   57 1165  289  932  368
##  [690] 1297  506 1504  276  929  672  139  986  613  455  469  666  760
##  [703] 1062   45 1619 1123  192  307 1190 1386 1139  994  242  469 1525
##  [716] 1047   40  453 1379  647 1233 1300  656 1604  852 1581  171  448
##  [729]   75  925  275  935 1413 1206 1231 1286 1636 1030  933  530  529
##  [742]  362  318  563 1382   68   94  632  900  408 1008   17  954 1088
##  [755] 1031 1594  242 1156 1382 1684  137 1692  248 1381  584   64  969
##  [768]  315 1234 1503 1691  580 1599 1266  134 1264 1457 1207  515  972
##  [781] 1108  232  170  672  671 1210  124   69 1340  596  678  438  290
##  [794]  282  704  504 1558  581 1054   57 1661 1636 1552 1281  193  320
##  [807]  701  306  641  797  906  144  563  674  770 1197 1440  981 1677
##  [820]  632  881 1320  593  109  922  599  712  519   17  157 1110 1447
##  [833]  288  935 1463  202 1431 1258  283  123  951 1358 1548 1050  130
##  [846]  956  464  686  622 1552  450 1239  293  678 1181 1611 1003 1473
##  [859] 1424  120  223  582 1303 1613 1303  360  520 1299 1386   11  258
##  [872] 1103 1331  786 1570 1520  252   67 1172  799  770 1314  260 1543
##  [885]  692  231 1432  307 1576  870  744  998  755 1070   30  133  498
##  [898]  832 1185 1177  238 1684  209  256  148 1674  861 1444  930 1384
##  [911] 1223  497  936 1183 1554  281  964  452   50  360  929  922 1417
##  [924] 1677  592  107  597  464  738  190  854  894 1717 1084 1068 1598
##  [937] 1570  258  554 1373 1165 1497  698  513 1710  326  582 1101  785
##  [950]  276 1050 1078  305  440 1277  324  166 1352  604   40  929  135
##  [963] 1562 1470  899 1132 1200 1301 1701  905  132  924  374  667 1120
##  [976]  885  434 1560  123 1726 1579  422 1256  616 1111 1524 1682  690
##  [989] 1040   63  328 1100  378 1012 1113  509  726  780  468  115  260
## [1002] 1378  833 1554  891  346  330 1610  554 1439  639  451 1664  592
## [1015] 1635 1413   22 1562 1161  743 1277  545  882 1438 1271  911  501
## [1028]  544  236  609  602  984  362  798  375 1684 1067 1144 1675   61
## [1041] 1306  803 1650  314 1113 1174  145  313  668  156 1222 1216  954
## [1054]  457 1115 1025 1563 1389  511  650  587 1096   14  171 1186  691
## [1067] 1123 1182  566 1518  575  322 1253  966  574  305   64 1012 1252
## [1080] 1016  369 1510  516  496 1532 1703 1614  831  519  302   75  153
## [1093] 1043 1156 1653 1521   41 1286 1186 1586 1168  590 1577 1549   12
## [1106]  279 1499  468 1054  146  785 1244 1421  263  608  382  580 1316
## [1119]  547 1336 1091  823 1349 1575  454 1246  818  528 1243  829 1406
## [1132]   41  891  605 1268  751    4  958 1020 1557  659  785  182  198
## [1145]  559  268  107 1157  511 1636  404  418  727  735 1598  116  310
## [1158]  610  850 1381 1414 1073  752  463 1555  566 1554  380   92  763
## [1171] 1058 1139  211  847  664 1499 1321  337  647  908  634 1163  135
## [1184]  583   17  546  289  823  772 1353 1520 1007  628   95 1093 1426
## [1197]  862   31 1580 1300  475 1291  785 1343  817 1680 1480  234  413
## [1210]  566    8  875  595  733 1518 1296 1322  293  264  945 1216    2
## [1223] 1353 1136  315 1531  444  837  900  735 1614 1028  553 1678 1084
## [1236]  752 1691 1446 1011 1591  459  496 1585 1715  826  574  251  308
## [1249]  878 1418   35  206 1341 1475  549  121   85  872  200  392   72
## [1262]  996 1613 1154 1500  775  670  168 1641 1613  810  780   12  204
## [1275] 1051   33 1188 1461  400 1281 1613 1537  337  882  739  351  999
## [1288]   34 1715  938 1612  854 1185 1574  269 1571  502  127 1441 1411
## [1301]  966 1406  972  879  672  525  758 1220  790  942 1489 1238  712
## [1314]  383 1726 1394  726  242 1429  168  751  918 1327 1016 1055  593
## [1327]  652   53  297  612 1630  293 1254  423 1523  893  947    7   69
## [1340] 1318  622 1126 1686  327 1441 1589  446  422 1633  324  964 1021
## [1353]  560  406  634  450  622  342  721 1717 1579 1057  156  278  548
## [1366] 1425 1097  850 1132 1489  265  192  861 1649 1482 1709  606  485
## [1379]  446  499  239 1341  813  597  710 1288 1122 1267  518 1419  627
## [1392]  432  603 1696 1447 1421 1016  822  574 1528  240  993  945  575
## [1405] 1517 1309  593  869  207 1190  170  469  137  649  814 1326 1398
## [1418]  107 1216  893  949  752   63   90  337  890  677  364 1466  684
## [1431]  120  303   15  987  387 1432  351  560 1553  357 1293 1511  587
## [1444]  559  396  513  593  173 1704  835  223 1392  993 1710  147  702
## [1457]  149  751 1679 1632 1484 1056  950   27  119   71 1143 1118  520
## [1470]  352  474 1023 1233    9  249  853 1356  720  999  752 1652 1720
## [1483] 1570 1339 1454  530  704  731 1021 1276  346 1655  285 1052  468
## [1496] 1303 1079  227  875 1689 1728 1577  637  285  538  264 1091  888
## [1509]  975  225   21   28 1419  209 1321  279 1639  380  964 1025    9
## [1522]  244 1025 1590 1494 1182 1030  852  778  238 1408 1675 1714 1557
## [1535] 1526  738  773  891  982 1094  861  957 1432 1108 1719 1016  957
## [1548]  442  400  576 1678   64  517 1662 1336  102 1221  690 1537  981
## [1561] 1072  259 1030 1234  640 1300  646 1333  919  481  633  581 1017
## [1574]  138  969  246   24   81  728  514  901 1310 1225   69 1159  756
## [1587] 1146 1169  903  327  571 1026  522 1570  258 1460 1152 1627 1097
## [1600]  719 1633  288  767  921  161  293  121  991  392  663  626 1631
## [1613]  612  458  803 1233  583 1065 1166  929 1140 1397 1696  993  478
## [1626]  270  540  752  772 1429 1229 1617  405  471 1346  111 1667  964
## [1639] 1383   10  116  701 1579  665  106 1100  426 1308  434 1665 1345
## [1652] 1658  489 1222   23 1715 1279  805 1345  730  737  289  692  535
## [1665]  532  375  168  331 1472 1585 1226 1481 1449  524 1217 1618  190
## [1678] 1040   93  356  134 1649 1186 1484  415  465  527 1540   41   13
## [1691] 1318 1308 1650 1150  490  982  332 1361  740 1279  647  229 1583
## [1704]  333  448 1476 1728  623  686  591 1159  185 1188  798 1383  308
## [1717]  796 1231  768 1361  933 1422  422 1708 1139 1030  820 1381
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 532 unacc (0.236689815 0.039351852 0.692129630 0.031828704)  
##      2) persons=4,more 1157 532 unacc (0.353500432 0.058772688 0.540190147 0.047536733)  
##        4) safety=high,med 778 369 acc (0.525706941 0.087403599 0.316195373 0.070694087)  
##          8) buying=low,med 376 165 acc (0.561170213 0.180851064 0.111702128 0.146276596)  
##           16) maint=high,vhigh 204  47 acc (0.769607843 0.000000000 0.171568627 0.058823529)  
##             32) lug_boot=big,med 142  19 acc (0.866197183 0.000000000 0.049295775 0.084507042)  
##               64) buying=med 81   5 acc (0.938271605 0.000000000 0.061728395 0.000000000)  
##                128) lug_boot=big 46   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                129) lug_boot=med 35   5 acc (0.857142857 0.000000000 0.142857143 0.000000000)  
##                  258) safety=high 22   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  259) safety=med 13   5 acc (0.615384615 0.000000000 0.384615385 0.000000000)  
##                    518) doors=4,5more 8   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    519) doors=2,3 5   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               65) buying=low 61  14 acc (0.770491803 0.000000000 0.032786885 0.196721311)  
##                130) safety=med 32   2 acc (0.937500000 0.000000000 0.062500000 0.000000000)  
##                  260) doors=3,4,5more 25   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  261) doors=2 7   2 acc (0.714285714 0.000000000 0.285714286 0.000000000)  
##                    522) maint=high 4   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    523) maint=vhigh 3   1 unacc (0.333333333 0.000000000 0.666666667 0.000000000)  
##                     1046) lug_boot=big 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1047) lug_boot=med 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                131) safety=high 29  12 acc (0.586206897 0.000000000 0.000000000 0.413793103)  
##                  262) maint=vhigh 11   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  263) maint=high 18   6 vgood (0.333333333 0.000000000 0.000000000 0.666666667)  
##                    526) doors=2,3 10   4 acc (0.600000000 0.000000000 0.000000000 0.400000000)  
##                     1052) lug_boot=med 6   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1053) lug_boot=big 4   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                    527) doors=4,5more 8   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##             33) lug_boot=small 62  28 acc (0.548387097 0.000000000 0.451612903 0.000000000)  
##               66) safety=high 35   5 acc (0.857142857 0.000000000 0.142857143 0.000000000)  
##                132) doors=3,4,5more 27   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                133) doors=2 8   3 unacc (0.375000000 0.000000000 0.625000000 0.000000000)  
##                  266) persons=4 3   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  267) persons=more 5   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               67) safety=med 27   4 unacc (0.148148148 0.000000000 0.851851852 0.000000000)  
##                134) maint=high 10   4 unacc (0.400000000 0.000000000 0.600000000 0.000000000)  
##                  268) persons=4 5   1 acc (0.800000000 0.000000000 0.200000000 0.000000000)  
##                    536) buying=low 4   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    537) buying=med 1   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                  269) persons=more 5   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                135) maint=vhigh 17   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##           17) maint=low,med 172 104 good (0.313953488 0.395348837 0.040697674 0.250000000)  
##             34) safety=med 90  43 acc (0.522222222 0.422222222 0.055555556 0.000000000)  
##               68) lug_boot=small 30   5 acc (0.833333333 0.000000000 0.166666667 0.000000000)  
##                136) doors=3,4,5more 21   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                137) doors=2 9   4 unacc (0.444444444 0.000000000 0.555555556 0.000000000)  
##                  274) persons=4 4   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  275) persons=more 5   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               69) lug_boot=big,med 60  22 good (0.366666667 0.633333333 0.000000000 0.000000000)  
##                138) doors=2 13   2 acc (0.846153846 0.153846154 0.000000000 0.000000000)  
##                  276) lug_boot=med 8   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  277) lug_boot=big 5   2 acc (0.600000000 0.400000000 0.000000000 0.000000000)  
##                    554) buying=med 3   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    555) buying=low 2   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                139) doors=3,4,5more 47  11 good (0.234042553 0.765957447 0.000000000 0.000000000)  
##                  278) buying=med 17   8 acc (0.529411765 0.470588235 0.000000000 0.000000000)  
##                    556) maint=med 7   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    557) maint=low 10   2 good (0.200000000 0.800000000 0.000000000 0.000000000)  
##                     1114) doors=3 3   1 acc (0.666666667 0.333333333 0.000000000 0.000000000)  
##                       2228) persons=4 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                       2229) persons=more 1   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                     1115) doors=4,5more 7   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                  279) buying=low 30   2 good (0.066666667 0.933333333 0.000000000 0.000000000)  
##                    558) doors=3 11   2 good (0.181818182 0.818181818 0.000000000 0.000000000)  
##                     1116) persons=4 5   2 good (0.400000000 0.600000000 0.000000000 0.000000000)  
##                       2232) lug_boot=med 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                       2233) lug_boot=big 3   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                     1117) persons=more 6   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                    559) doors=4,5more 19   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##             35) safety=high 82  39 vgood (0.085365854 0.365853659 0.024390244 0.524390244)  
##               70) lug_boot=med,small 51  21 good (0.137254902 0.588235294 0.039215686 0.235294118)  
##                140) persons=4 33   8 good (0.151515152 0.757575758 0.000000000 0.090909091)  
##                  280) maint=med 15   7 good (0.333333333 0.533333333 0.000000000 0.133333333)  
##                    560) buying=med 6   1 acc (0.833333333 0.000000000 0.000000000 0.166666667)  
##                     1120) doors=2,3,4 5   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1121) doors=5more 1   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                    561) buying=low 9   1 good (0.000000000 0.888888889 0.000000000 0.111111111)  
##                     1122) doors=2,3,5more 7   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                     1123) doors=4 2   1 good (0.000000000 0.500000000 0.000000000 0.500000000)  
##                       2246) lug_boot=small 1   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                       2247) lug_boot=med 1   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                  281) maint=low 18   1 good (0.000000000 0.944444444 0.000000000 0.055555556)  
##                    562) doors=2,3,5more 14   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                    563) doors=4 4   1 good (0.000000000 0.750000000 0.000000000 0.250000000)  
##                     1126) lug_boot=small 3   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                     1127) lug_boot=med 1   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                141) persons=more 18   9 vgood (0.111111111 0.277777778 0.111111111 0.500000000)  
##                  282) lug_boot=small 8   4 good (0.250000000 0.500000000 0.250000000 0.000000000)  
##                    564) doors=3,5more 6   2 good (0.333333333 0.666666667 0.000000000 0.000000000)  
##                     1128) buying=med 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1129) buying=low 4   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                    565) doors=2 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                  283) lug_boot=med 10   1 vgood (0.000000000 0.100000000 0.000000000 0.900000000)  
##                    566) doors=2 1   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                    567) doors=3,4,5more 9   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##               71) lug_boot=big 31   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##          9) buying=high,vhigh 402 198 unacc (0.492537313 0.000000000 0.507462687 0.000000000)  
##           18) maint=low,med 189  32 acc (0.830687831 0.000000000 0.169312169 0.000000000)  
##             36) lug_boot=big,med 144   7 acc (0.951388889 0.000000000 0.048611111 0.000000000)  
##               72) doors=3,4,5more 109   1 acc (0.990825688 0.000000000 0.009174312 0.000000000)  
##                144) doors=4,5more 74   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                145) doors=3 35   1 acc (0.971428571 0.000000000 0.028571429 0.000000000)  
##                  290) maint=med 21   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  291) maint=low 14   1 acc (0.928571429 0.000000000 0.071428571 0.000000000)  
##                    582) safety=high 9   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    583) safety=med 5   1 acc (0.800000000 0.000000000 0.200000000 0.000000000)  
##                     1166) buying=vhigh 3   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1167) buying=high 2   1 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                       2334) lug_boot=big 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                       2335) lug_boot=med 1   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               73) doors=2 35   6 acc (0.828571429 0.000000000 0.171428571 0.000000000)  
##                146) safety=high 20   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                147) safety=med 15   6 acc (0.600000000 0.000000000 0.400000000 0.000000000)  
##                  294) lug_boot=big 9   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  295) lug_boot=med 6   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##             37) lug_boot=small 45  20 unacc (0.444444444 0.000000000 0.555555556 0.000000000)  
##               74) safety=high 20   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##               75) safety=med 25   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##           19) maint=high,vhigh 213  41 unacc (0.192488263 0.000000000 0.807511737 0.000000000)  
##             38) maint=high 106  41 unacc (0.386792453 0.000000000 0.613207547 0.000000000)  
##               76) buying=high 62  21 acc (0.661290323 0.000000000 0.338709677 0.000000000)  
##                152) lug_boot=big 20   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                153) lug_boot=med,small 42  21 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                  306) safety=high 15   1 acc (0.933333333 0.000000000 0.066666667 0.000000000)  
##                    612) doors=3,4,5more 13   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    613) doors=2 2   1 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                     1226) persons=4 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1227) persons=more 1   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                  307) safety=med 27   7 unacc (0.259259259 0.000000000 0.740740741 0.000000000)  
##                    614) lug_boot=med 15   7 unacc (0.466666667 0.000000000 0.533333333 0.000000000)  
##                     1228) doors=4,5more 5   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1229) doors=2,3 10   2 unacc (0.200000000 0.000000000 0.800000000 0.000000000)  
##                       2458) persons=more 4   2 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                         4916) doors=3 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                         4917) doors=2 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                       2459) persons=4 6   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                    615) lug_boot=small 12   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               77) buying=vhigh 44   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##             39) maint=vhigh 107   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##        5) safety=low 379   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##      3) persons=2 571   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[20]]
## $bindx
##    [1]  994  604   82  379  658  834 1237 1182   25 1539 1563 1002  849
##   [14]  912  712  298 1001  141  118 1593   48  369  890  879  335  703
##   [27] 1400  738  471   84  921  524  537  952 1379  236 1153 1600  703
##   [40] 1520  740 1557 1221  969  870  305  814  406 1282 1113  872  500
##   [53] 1138  295 1703  825  979  937  774 1314 1058   25 1566  273   33
##   [66]  153 1133  225 1070  512 1696   11 1611  553 1200  273  141 1282
##   [79]  769  685  211   33  151 1198  925  123  873 1539 1693  930  651
##   [92]  949    1  854 1128   68 1665  978  685  269   16 1708 1175 1144
##  [105]  650 1228  432  163  302  944 1270 1066 1527 1511  756 1525  954
##  [118] 1328  873  806  842  430  609  805  730  487  969  808 1255  765
##  [131]  184  700 1276  910 1505  510  756  846  750 1054 1577  108  613
##  [144] 1563  633  518 1593  630  796 1685 1631  943 1337 1623  345 1658
##  [157]  877 1223 1138 1416  365 1316  409  164 1436 1358  306   82  445
##  [170]  297 1700 1152 1190 1311 1696  499  625  128   27  534   95 1141
##  [183]  393  303 1105 1200 1639  932 1561  989  638  791 1628  647  856
##  [196] 1333 1443  271   88 1101  871  626  664 1318  774  478  291  509
##  [209] 1578  712 1212  172  346  997  571 1496   88  846  771  791  171
##  [222] 1500 1567 1182 1560 1501   31 1263  274  385  663 1262  507  943
##  [235]  882 1423  909  556  748 1067  550 1340  391 1498  858   11  956
##  [248] 1211 1538 1042  769  146  406  551 1635  807 1012 1229  897 1150
##  [261] 1365 1242  805 1633  787  497  875  277 1224 1412  862 1551  144
##  [274]  431  832 1311 1097   85 1481 1098  383 1558 1247 1680 1510  883
##  [287]  839  388  751  774 1327   17 1130 1227  409  987  952  694  762
##  [300]  747   44 1244  607  667 1513 1052  470 1140  111  648 1590 1474
##  [313]  465  970  940  733  114  938 1220 1419  373  737 1037  521  833
##  [326]  219  432    3  883  512 1631 1207  229 1676  621  895 1703 1279
##  [339] 1275 1470  727  621 1461 1029  903 1172  106  267 1462  874 1458
##  [352]  701  410   77  272 1592  342  723  500 1669  132 1666  755  265
##  [365] 1503  774  591   44  667 1602  957  604 1144  211  488  876  222
##  [378] 1017 1449   77 1594 1715  302 1096 1378  991  810  138 1343  962
##  [391]  834  772 1094    5  749 1133   33 1280  432 1482  436  835  337
##  [404] 1202  846 1643  277   62  908  943  734  231  778  623  402  278
##  [417]  926 1361  256  637 1538   74  392  708 1665  887  854 1634 1308
##  [430] 1175   97 1005  385  764  822 1362  100 1063   84 1045 1165 1242
##  [443]  616 1678 1000    8  103  752  415  360  949  229  399  256  496
##  [456] 1684  912  135  847 1495  729 1289 1413  501 1078  670  817 1223
##  [469]   72 1635  903  212  873  292 1551 1414  699  953 1487  860 1260
##  [482]  715 1581 1240  698 1595 1034  427 1182  217 1530 1526  100  581
##  [495]  327  951 1222  606 1257  204  841  119  829 1218  245   10  783
##  [508]  707 1379   86  824  437 1581  145 1148  703   86  435  837  259
##  [521] 1548  998  167 1090 1550 1666 1332 1142  154 1512 1535   57   47
##  [534] 1361 1522 1555 1152 1487  449  202  852  245  244  969  656  869
##  [547] 1366 1313  712  849  262 1099  355 1111 1315  630 1570 1263  199
##  [560] 1086 1154  441 1247 1400 1008 1078  439  178 1024  366  818  482
##  [573]  113  606 1489  349 1664 1193 1002 1673  721 1000  613 1152 1280
##  [586]   63 1272  992  584  455 1098 1168  543 1566 1294 1279 1726  173
##  [599] 1227 1267  382 1441 1509  442  646  103  150 1638  546 1237 1516
##  [612] 1724  187 1239 1157 1413  424  551  672  557 1653 1624  961  561
##  [625] 1033 1336 1338  311 1246 1113 1507   62 1601 1486 1402  398 1516
##  [638]  631 1523  656  632  669  959 1570  485 1117  606  605  652 1440
##  [651]  417   81  593   13  999 1155  406  464  654  606  355 1061 1547
##  [664] 1589 1277  202  579  990 1251  779  432  279  629 1254  144   86
##  [677] 1702  967 1295  522 1328  165  409 1195  513  663 1185  792  930
##  [690] 1469  383  774  839  209  454 1044 1335  286 1630 1285  323  381
##  [703]  944  656 1479  789  243 1431  247  312 1608  430 1197 1629 1378
##  [716] 1513 1688  168 1458  637  753 1178 1429  796  510  370 1608 1431
##  [729]  428  181 1645 1306  559  757 1047 1007 1361 1028   24  889 1642
##  [742]  944  132 1543 1393 1427  561  415 1437 1437  163 1594  269 1116
##  [755] 1011 1152  848 1635 1370 1513 1717  714  215  729   39  971  369
##  [768]  720 1677  371 1612  288  544  157  372  594 1444  868  208 1078
##  [781]  935  375  482 1325   44  926  958  113 1273  293 1289  730 1417
##  [794]  383  204 1277 1341 1074 1335 1051  609 1244  982  713  167  370
##  [807]  616 1551 1614 1574  650    5 1540  533 1603 1667  514  412  608
##  [820] 1348 1714 1109 1248 1604  144  185  725  937  635 1586  787  374
##  [833] 1600 1713 1115  879 1293  760 1207  964  568 1235  337 1234  768
##  [846]  233  612  721 1150  162  808 1434 1423 1032  264  924 1060 1652
##  [859]  101  434  976 1564   39 1102 1699  391    1 1171 1292  634  426
##  [872]  736 1443  687 1368  161  646   86  994 1027 1075 1393  337  753
##  [885] 1313 1465  167  282 1495 1610  400 1383  850   11  257  115  707
##  [898] 1321 1037  357 1255  596   25  531  126  380   18 1301 1623    4
##  [911]  629  845  284    3  714 1111  125  813  149 1723 1041 1716  725
##  [924] 1036 1130  243  629  545  362  544  766   33  952 1323  502  125
##  [937]  389   66 1485 1270  228  560  867  962 1017 1666  430 1568 1172
##  [950]  526 1405 1236  663 1179  343  268  323  898  705  700 1179 1423
##  [963]  998 1608  129 1113   33  227  720  730 1449  674  469  655  755
##  [976] 1127  135  430  944 1724 1117  923   16 1675  835   56 1629 1469
##  [989] 1599 1008  824  128 1694 1162  915  841  646  361 1385 1647 1029
## [1002] 1271 1610 1635  987 1701  402 1695 1640  638  102 1364  274  183
## [1015]  385  925  879   90   96 1442  779 1185 1295  881  571  343 1545
## [1028]  635  960 1495   14 1142   71  949  201  498  111  478   91 1546
## [1041] 1292  743 1381  985  652 1071  756    8 1341 1599 1306  398 1677
## [1054]  367  284 1311  352  861  430  772 1287  398  290 1482  865 1557
## [1067] 1335 1175 1506 1616  816 1378 1529   64  488   34  357  535 1247
## [1080]  441 1605  357 1009 1125  343   57  488  475  380 1456  116 1240
## [1093]  443  439  642 1326 1178 1701 1319    8  588 1223  294 1171 1382
## [1106]  712 1627  588  211 1128 1514 1003  971  720  742  180 1572  757
## [1119]  188 1493   81 1517 1218 1699 1638  622 1395  773 1332 1429 1367
## [1132] 1200  600  802  865 1409 1017 1074  831  668 1551  826 1235  235
## [1145]  306  844  527 1596  684  764 1273  235   79 1728 1284  364  888
## [1158]    5  630 1098  407  496 1481  598 1600 1349  865 1172 1107  229
## [1171] 1617 1069 1409  142  881  248  914 1385  599  971  552 1068 1507
## [1184]  611  844 1402  242  588 1078 1586  321  566  936 1185  692  879
## [1197] 1096  265   46  949  916 1341   92 1648 1412 1195  966   38 1609
## [1210] 1668  932 1081  485 1236 1486  612  164  996  977  218  132  615
## [1223]  637 1339   45  387 1040 1562  977  459   85  206 1247  895 1244
## [1236] 1115 1601  666 1544  940  442 1084  205  516  352  221 1503  490
## [1249]  909  202  411  248  125  299  456  946 1491 1596  852 1414  448
## [1262]  452 1398  324  503  169 1481 1111 1036    9  605 1590   59 1152
## [1275] 1716  249 1701  310  855   94   81 1392 1442  917 1547 1011  941
## [1288]  186 1168  701  783 1010    2 1516   16  271 1080  620  504 1085
## [1301] 1193  290  548  960 1566 1688  134  764  367 1516  984 1131  514
## [1314] 1092  456  275 1707  211 1435 1489  703  909 1258 1016   93  268
## [1327] 1440  830    3  161  449 1361  407 1080 1112 1363  341  686  331
## [1340]  721 1709  579   43 1373 1267 1653  578 1333 1317 1151  335 1232
## [1353] 1210  640 1621  254 1632 1530 1348  570   30 1164  737 1221 1056
## [1366] 1542 1542 1496  876 1707 1428 1077 1382  451   15 1509  445  395
## [1379]  219  838  494 1426  975  667  368 1054  439   53  868  772 1156
## [1392] 1248  341  484 1621  958  163 1390  502  477  128  732  491 1314
## [1405]  382  576  294 1147 1716  556  872   94  998 1301 1294  462 1543
## [1418] 1471  827 1369   68 1642 1628  783 1099 1503 1484  933  197 1670
## [1431] 1276 1291  702 1592  211  165  435  727   24   12  575  701 1282
## [1444]  665  847  790 1370  385 1200 1382  966  834 1555  727 1317  856
## [1457]  945 1006 1686  560  660  437 1492  646 1691  150  424 1437  581
## [1470] 1594  123  946  323  782 1275  470 1030 1475  257  330  580  274
## [1483] 1297  523 1040 1181  748 1413   84  451  281  929  995  119    8
## [1496]  633 1471 1476  334  144 1280 1241 1107  102  238  232   42 1505
## [1509] 1430  739 1212  767 1380  581 1678 1116 1057 1679 1176  417 1537
## [1522]  112  804  446  694  764  466 1035  713   88  525  453  708   28
## [1535] 1505 1518  669  332  143  922  324  316  265  303  256  506  458
## [1548]  572 1644 1708  370  852  498 1544   21 1539 1679  864  693 1303
## [1561]  210  228  672  288  735  773  246  974   14 1196 1210 1073  127
## [1574] 1256  124 1625   89  702  192  757  665  765  718  173 1425 1301
## [1587] 1391  238  239 1097 1595  428 1267  389  994  875  566 1594 1115
## [1600] 1464 1320  458 1134 1496  483 1140  834  660 1575 1566 1692  124
## [1613]  125  403 1583  378 1487  192  292 1387  457 1043   64 1478 1006
## [1626]   72  375  193  619  176 1002  492  999 1711 1372 1111 1271 1620
## [1639]  664 1227 1009  861 1062  598 1678 1008 1700  226 1191  560 1299
## [1652]  384  608  936  709 1114  705 1249 1225 1399  841 1433  592  824
## [1665] 1726 1342  165 1463 1426  692  264 1604 1084  489  847  518  389
## [1678] 1394 1185  961 1023 1113   17   58  113 1038 1426   13  669  460
## [1691] 1275  776  539  141  742 1468 1170 1643  497 1414 1269 1562  355
## [1704]  747 1355   63 1687  778  460  825  770 1505  749  511  943  403
## [1717]   40  477  154  656 1703 1477 1464  912 1658  165  804 1720
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 535 unacc (0.224537037 0.036458333 0.690393519 0.048611111)  
##      2) safety=high,med 1127 535 unacc (0.344276841 0.055900621 0.525288376 0.074534161)  
##        4) persons=4,more 749 361 acc (0.518024032 0.084112150 0.285714286 0.112149533)  
##          8) buying=low,med 378 174 acc (0.539682540 0.166666667 0.071428571 0.222222222)  
##           16) maint=high,vhigh 188  42 acc (0.776595745 0.000000000 0.132978723 0.090425532)  
##             32) lug_boot=big,med 124  21 acc (0.830645161 0.000000000 0.032258065 0.137096774)  
##               64) buying=med 69   2 acc (0.971014493 0.000000000 0.028985507 0.000000000)  
##                128) doors=3,4,5more 48   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                129) doors=2 21   2 acc (0.904761905 0.000000000 0.095238095 0.000000000)  
##                  258) safety=high 12   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  259) safety=med 9   2 acc (0.777777778 0.000000000 0.222222222 0.000000000)  
##                    518) lug_boot=big 7   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    519) lug_boot=med 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               65) buying=low 55  19 acc (0.654545455 0.000000000 0.036363636 0.309090909)  
##                130) maint=vhigh 28   2 acc (0.928571429 0.000000000 0.071428571 0.000000000)  
##                  260) safety=high 15   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  261) safety=med 13   2 acc (0.846153846 0.000000000 0.153846154 0.000000000)  
##                    522) doors=4,5more 7   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    523) doors=2,3 6   2 acc (0.666666667 0.000000000 0.333333333 0.000000000)  
##                     1046) lug_boot=big 4   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1047) lug_boot=med 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                131) maint=high 27  10 vgood (0.370370370 0.000000000 0.000000000 0.629629630)  
##                  262) safety=med 8   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  263) safety=high 19   2 vgood (0.105263158 0.000000000 0.000000000 0.894736842)  
##                    526) doors=2 4   2 acc (0.500000000 0.000000000 0.000000000 0.500000000)  
##                     1052) lug_boot=med 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1053) lug_boot=big 2   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                    527) doors=3,4,5more 15   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##             33) lug_boot=small 64  21 acc (0.671875000 0.000000000 0.328125000 0.000000000)  
##               66) safety=high 34   3 acc (0.911764706 0.000000000 0.088235294 0.000000000)  
##                132) doors=3,4,5more 26   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                133) doors=2 8   3 acc (0.625000000 0.000000000 0.375000000 0.000000000)  
##                  266) persons=4 5   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  267) persons=more 3   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               67) safety=med 30  12 unacc (0.400000000 0.000000000 0.600000000 0.000000000)  
##                134) maint=high 17   5 acc (0.705882353 0.000000000 0.294117647 0.000000000)  
##                  268) buying=low 12   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  269) buying=med 5   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                135) maint=vhigh 13   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##           17) maint=low,med 190 123 vgood (0.305263158 0.331578947 0.010526316 0.352631579)  
##             34) safety=med 82  31 acc (0.621951220 0.365853659 0.012195122 0.000000000)  
##               68) lug_boot=small 29   1 acc (0.965517241 0.000000000 0.034482759 0.000000000)  
##                136) doors=3,4,5more 25   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                137) doors=2 4   1 acc (0.750000000 0.000000000 0.250000000 0.000000000)  
##                  274) persons=4 3   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  275) persons=more 1   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               69) lug_boot=big,med 53  23 good (0.433962264 0.566037736 0.000000000 0.000000000)  
##                138) buying=med 25   7 acc (0.720000000 0.280000000 0.000000000 0.000000000)  
##                  276) maint=med 15   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  277) maint=low 10   3 good (0.300000000 0.700000000 0.000000000 0.000000000)  
##                    554) doors=2 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    555) doors=3,4,5more 8   1 good (0.125000000 0.875000000 0.000000000 0.000000000)  
##                     1110) doors=3 3   1 good (0.333333333 0.666666667 0.000000000 0.000000000)  
##                       2220) lug_boot=med 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                       2221) lug_boot=big 2   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                     1111) doors=4,5more 5   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                139) buying=low 28   5 good (0.178571429 0.821428571 0.000000000 0.000000000)  
##                  278) doors=2 8   3 acc (0.625000000 0.375000000 0.000000000 0.000000000)  
##                    556) lug_boot=med 5   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    557) lug_boot=big 3   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                  279) doors=3,4,5more 20   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##             35) safety=high 108  41 vgood (0.064814815 0.305555556 0.009259259 0.620370370)  
##               70) lug_boot=small 33   8 good (0.212121212 0.757575758 0.030303030 0.000000000)  
##                140) maint=med 16   8 good (0.437500000 0.500000000 0.062500000 0.000000000)  
##                  280) buying=med 8   1 acc (0.875000000 0.000000000 0.125000000 0.000000000)  
##                    560) doors=3,4,5more 6   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    561) doors=2 2   1 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                     1122) persons=4 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1123) persons=more 1   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                  281) buying=low 8   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                141) maint=low 17   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##               71) lug_boot=big,med 75   8 vgood (0.000000000 0.106666667 0.000000000 0.893333333)  
##                142) doors=2 21   8 vgood (0.000000000 0.380952381 0.000000000 0.619047619)  
##                  284) lug_boot=med 8   0 good (0.000000000 1.000000000 0.000000000 0.000000000) *
##                  285) lug_boot=big 13   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##                143) doors=3,4,5more 54   0 vgood (0.000000000 0.000000000 0.000000000 1.000000000) *
##          9) buying=high,vhigh 371 184 unacc (0.495956873 0.000000000 0.504043127 0.000000000)  
##           18) maint=low,med 185  38 acc (0.794594595 0.000000000 0.205405405 0.000000000)  
##             36) lug_boot=big,med 128   7 acc (0.945312500 0.000000000 0.054687500 0.000000000)  
##               72) safety=high 74   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##               73) safety=med 54   7 acc (0.870370370 0.000000000 0.129629630 0.000000000)  
##                146) lug_boot=big 28   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                147) lug_boot=med 26   7 acc (0.730769231 0.000000000 0.269230769 0.000000000)  
##                  294) doors=4,5more 16   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  295) doors=2,3 10   3 unacc (0.300000000 0.000000000 0.700000000 0.000000000)  
##                    590) doors=3 6   3 acc (0.500000000 0.000000000 0.500000000 0.000000000)  
##                     1180) persons=more 3   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1181) persons=4 3   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                    591) doors=2 4   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##             37) lug_boot=small 57  26 unacc (0.456140351 0.000000000 0.543859649 0.000000000)  
##               74) safety=high 30   4 acc (0.866666667 0.000000000 0.133333333 0.000000000)  
##                148) doors=3,4,5more 21   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                149) doors=2 9   4 acc (0.555555556 0.000000000 0.444444444 0.000000000)  
##                  298) persons=4 5   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  299) persons=more 4   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               75) safety=med 27   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##           19) maint=high,vhigh 186  37 unacc (0.198924731 0.000000000 0.801075269 0.000000000)  
##             38) maint=high 94  37 unacc (0.393617021 0.000000000 0.606382979 0.000000000)  
##               76) buying=high 51  14 acc (0.725490196 0.000000000 0.274509804 0.000000000)  
##                152) safety=high 25   2 acc (0.920000000 0.000000000 0.080000000 0.000000000)  
##                  304) doors=3,4,5more 22   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                  305) doors=2 3   1 unacc (0.333333333 0.000000000 0.666666667 0.000000000)  
##                    610) persons=4 1   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    611) persons=more 2   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                153) safety=med 26  12 acc (0.538461538 0.000000000 0.461538462 0.000000000)  
##                  306) lug_boot=big,med 17   3 acc (0.823529412 0.000000000 0.176470588 0.000000000)  
##                    612) doors=2,4,5more 12   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                    613) doors=3 5   2 unacc (0.400000000 0.000000000 0.600000000 0.000000000)  
##                     1226) lug_boot=big 2   0 acc (1.000000000 0.000000000 0.000000000 0.000000000) *
##                     1227) lug_boot=med 3   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##                  307) lug_boot=small 9   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##               77) buying=vhigh 43   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##             39) maint=vhigh 92   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##        5) persons=2 378   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
##      3) safety=low 601   0 unacc (0.000000000 0.000000000 1.000000000 0.000000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[21]]
## $bindx
##    [1]  358  552  956 1288  338  493 1152  551 1215  876  361   28  912
##   [14] 1677   75  270 1472  818 1682   49  546  209  684 1138  841 1118
##   [27]  924 1708 1458 1130 1652 1127 1635  808 1463   53 1424  378 1232
##   [40]   41  983  841   39 1628 1481 1623  872  285 1308 1619  423 1040
##   [53]  572  722    5  129 1476   38  276  654   34 1540  530  230  748
##   [66]   73  317 1553  491  760  422  273 1482  449   49 1327  294  301
##   [79] 1394  937 1184  620  830  614 1088   90  207 1150 1499 1557  866
##   [92]  264  843  872 1415 1225  470  329 1260  721  354 1661  192   89
##  [105]  619  377 1287 1569  679  746  436 1193  511 1309 1705  641   77
##  [118] 1453 1343  472  212 1245  559 1383   38  948 1643   53 1031  425
##  [131]  446 1577 1625    9  206  905  336  400  922 1186  187 1411   95
##  [144]  768 1277 1000 1264  476 1129 1038 1332 1474 1430 1030  885 1110
##  [157] 1376 1036 1053  829  884 1191  524 1212 1678  935 1364  930 1119
##  [170]  966  201 1673  839 1714  557 1387 1026  137  348  155 1266 1323
##  [183]   88  712 1634 1203 1674 1294  335  453  347  557 1171  922 1110
##  [196]  968  142  300 1059  356 1582  312 1546  551  345 1393  690  256
##  [209]  582  586 1321 1182 1685 1576  429 1242 1202 1510 1700 1410  706
##  [222] 1484  336 1091  708 1666   85 1279 1396  649   45 1700  133  448
##  [235] 1406 1645 1284 1696  811  925   58 1317 1341 1601  211  810 1553
##  [248]  191 1428  674 1317 1374 1212  246 1719 1667 1399 1183  522  884
##  [261]  271 1688 1617 1629 1172 1169  355  896 1110  746 1206  134   79
##  [274]   23 1329 1452  374  500  556  685 1622  132  556  211   72 1315
##  [287]  225 1383 1474 1106 1542 1166  265 1578  537 1066  778 1538  650
##  [300]  369 1025 1202  212  749  452 1349 1264 1642  431    3  196 1229
##  [313] 1059  584 1154 1054  392  450  694  337 1502 1283 1440  144  640
##  [326] 1058  505  789 1359 1167  984  229 1428  858 1566  202   67 1138
##  [339] 1544  344  323  743  691 1432 1229  540 1334  358  609  929  877
##  [352] 1411 1706  588 1086 1720  747  600 1050  316  352  199  386 1206
##  [365]  573  511  592 1593 1252 1453  477 1302 1388  129   26  764 1592
##  [378]  463  112 1344 1247  976  551  613 1495  394  664 1583  324 1076
##  [391] 1695  873 1551  179 1571 1103  937  907  964  927 1402 1126  156
##  [404]  644  852 1604  752 1708  535 1550  336 1727 1626  159  288  968
##  [417] 1597  852 1632  824 1593 1490 1568  860 1177  875  592  408  439
##  [430]  643 1557   47  519  506 1264 1335 1710  769  173 1415 1409 1350
##  [443]  691 1432 1444  407 1181  219  737  830 1437  104  418  258  341
##  [456]  263  495 1315  255 1645  692  159 1360 1592   72 1516  460 1133
##  [469] 1008  617 1143   79  139 1361  318  783 1188 1259 1561  736 1121
##  [482] 1276 1145  716 1198  491  345  113  700  848 1474 1545 1436 1663
##  [495]  189 1562 1551  146  650  911 1270  728  394  394  489   72   80
##  [508]  195 1198  945  819 1311  728   35 1120 1118 1392  639 1418  447
##  [521]  885  389 1513 1603  111  862  145  505 1454 1135  635   91 1585
##  [534]  619 1667  631    9 1388   46 1520  614 1021  375 1528 1114 1635
##  [547]  335 1250  341  707  420  935  114 1413 1199  400  619 1698 1277
##  [560] 1423  597 1559  121  916 1070 1021 1170 1514   12  239  588 1387
##  [573]   54 1280  887  442  760 1225  307 1075   48  638 1454 1498  701
##  [586]   79  758  804  878  377  684  472  223 1337 1581  928  571  919
##  [599]  728  669 1091  391 1365  992 1601 1089   61  834 1557 1193  255
##  [612]  874   28  561 1511  822 1074 1298  600  403  591  366  916 1720
##  [625] 1064 1685 1470  616  955   64  262 1024 1615  153 1531  897  128
##  [638] 1372  392   90  893  986  715  949 1388  572 1724 1645 1184  862
##  [651] 1073 1149 1164 1120 1318 1517   46  441  992 1197  295  535 1074
##  [664]  488 1534  425 1202 1067  194  665 1551  199 1587  256 1625   46
##  [677] 1143  215 1720 1126  575  503 1598 1713  427  140  713  363 1311
##  [690] 1429  315 1280  148 1656  459 1543 1219 1709  636  492  284 1688
##  [703] 1422 1273 1650 1078 1216  517  993  933  912  512  797 1339 1379
##  [716] 1334  993  324  399 1677  910   90  866  115 1602 1670  412 1717
##  [729]   20 1260 1015 1452  546 1674  948 1557 1706   59  760 1289 1566
##  [742]  886  590 1613  444 1103 1101  429 1272 1165  584  398   63 1182
##  [755] 1235 1067  470  598  509  188  399 1363 1402 1295 1174 1095  771
##  [768]  755  574 1000  142 1199  191 1425 1709  508 1457  538  177  640
##  [781]  792 1463  362  879  985  653 1160  991  112 1203  151  228 1539
##  [794]  971  518 1457  213  537 1704  143  356 1511  946 1499  903   44
##  [807]   79  645 1506  386  378 1574 1400 1411  871 1454 1522 1676 1014
##  [820]  637  202  685 1505  876  366 1428 1236  209 1715 1415 1192 1274
##  [833]  161  114 1270  849 1001  265 1256 1644 1712  367  304 1350  718
##  [846] 1469  427 1140 1148  708 1097 1593 1571 1197  969  535  903  653
##  [859] 1317   87  282  962  239 1128  755  412  796   17 1005  917 1416
##  [872]  231 1698  724 1713 1080   29  568  502 1507  320  644 1211 1203
##  [885] 1451 1226  432 1382   85 1233  225 1359 1531 1208  897  916  532
##  [898]  733 1153  555  676  115  412 1342 1719 1237  880  353  296 1066
##  [911]  434 1157  963 1442 1423 1005  991 1162 1388  753 1514 1019  560
##  [924]  366  429  655 1466 1226 1242 1001  264  252  248 1663  161 1603
##  [937]  189 1136 1133  425 1262 1271 1083 1284  433 1690  399 1525  127
##  [950]  634 1541    2  921  465  657  642  113 1216 1488 1404  351  349
##  [963] 1604 1035  699 1551  981  188 1595  531  734 1081  589  773  482
##  [976]  390 1215 1213 1442   90 1266   98 1208  600 1012  756 1135  968
##  [989]  721   40  166  741 1216 1263  234  612  704 1228  422 1201  165
## [1002]  841  240 1389 1698  270 1646  707  718  881  125  142  661 1491
## [1015] 1003  300   18  675 1258 1278  642 1688   68  366  430 1100  371
## [1028] 1121   93 1579  508  615  306 1133  193  745 1583  814  255  597
## [1041]  301  125  259  465 1061 1124  195  484  223   41 1663 1266 1617
## [1054] 1005 1443  856  849 1229 1551  752 1533 1096 1288 1394  325 1601
## [1067]  544  977 1065 1519  627 1685 1135  413  500 1091  317  274 1148
## [1080]  755 1412  352 1410 1329  911  665 1286   71 1064  299 1089  350
## [1093] 1282 1631 1620  522  901  674 1458  297  164 1025 1272  859 1331
## [1106]   27  184  432  773 1723 1437  126 1442 1001  549 1422 1224 1355
## [1119]  899  106  427   77  114 1138 1210  769 1205  758 1083 1646 1695
## [1132] 1320  320 1267 1560 1289 1378 1530  946 1641 1654   52 1481  288
## [1145] 1225   59  891  174  148  469  956  557  390  627 1348  921  301
## [1158]  957  797  471  614  873  712  638 1553 1240 1203   85  137 1219
## [1171] 1544 1274  112  789  879 1419  166 1217 1686 1689  837 1166  258
## [1184]   19 1689  486  779  386 1560   41 1492 1186  773  275  715 1619
## [1197]  302  260 1135 1080  511  138 1499  688 1025  676   73 1247  645
## [1210] 1528 1107  668   55  866  457  535  146 1478 1289 1209 1455 1651
## [1223]  797  188 1180  873 1220  601  115  893  851   39  931 1700 1231
## [1236]  733  406  336  739 1054  947 1022  878 1233 1118  547  741  492
## [1249] 1445 1048  483  241  747  858  440  200  209 1297 1115  145 1207
## [1262] 1293  421  247 1352 1645  121 1181 1570 1132  580  909  421 1148
## [1275]  698  703 1149   25  306 1361  990  242 1385  125 1575 1622 1046
## [1288] 1325  756  989  961  140  904 1608 1016  137 1608  969 1278 1362
## [1301]  616 1074 1454  405  531 1578 1679  875  994 1378 1312 1443  896
## [1314] 1396  100 1139 1155 1519  536   90  581  611  953  788  667   93
## [1327] 1325 1256 1251  958  599 1266  619 1044 1153 1584   81  841  979
## [1340]  885 1582 1205 1631  794 1355    3  223  944   16  495  735 1520
## [1353] 1222  385  511 1674 1607   35  689 1331  215  273  197 1666 1659
## [1366]  492  504  444  308 1715    8  254 1322  461  767  640  189 1403
## [1379]  542  463  433  303 1170 1589  688  951   73 1540  647  261 1175
## [1392]   88 1228  927 1375 1540  751  921  708 1613  133 1107  630 1340
## [1405]  170  459  503  124  580  977 1291  365  194  989  749  485  172
## [1418] 1106 1708  748  358 1198 1588  143  244  956  583  913 1021 1115
## [1431] 1569 1538  260  323  712  632 1066   41 1238  609  164   72  545
## [1444] 1235  601 1164 1215  341  594 1513   72 1620 1002  458 1236 1372
## [1457]  453  172 1280  787  385 1709  884 1454 1215  707  998  128  677
## [1470] 1707  965  120  757 1437  172 1620 1115    5 1613 1605 1282 1020
## [1483]  402 1349 1173 1141  363  759 1391  220 1278  845  280   77  448
## [1496] 1039 1165 1677  533 1250  474 1303 1308 1702  836  219  965 1563
## [1509]  535  280  381  774  359  884 1547 1172  926   13  188 1480  747
## [1522]  477 1556  403  449  939 1340   29   85    2 1684 1195  531  831
## [1535]  275   71  617 1523 1490 1596  938 1670 1469  521   42 1204  546
## [1548] 1652  818 1386  361 1489  995  982 1258  838  208  205  878  148
## [1561]  467 1484  196 1229 1105  993 1051 1051  967  611  713 1455  806
## [1574]  612  547  385  532  503  285 1443  242  328  760  206  216 1176
## [1587] 1077  709 1175  407 1624  684  894 1545 1355 1402 1695 1090  676
## [1600] 1492 1424  936 1406 1527  394 1257  975 1144  440  206  883   47
## [1613]  734  236  422  833  327 1693  512 1426  181  350 1620  842  187
## [1626] 1588 1497 1489 1305 1602  582 1659 1114  285 1363  845 1276  991
## [1639] 1306  535 1037  311 1025  436  993 1424 1213 1408  196 1291  410
## [1652] 1141 1429 1566  546 1288 1268 1678  198 1352 1446 1707 1441  861
## [1665]  845 1676 1602 1476 1403  433 1726  198 1494  896 1265  464  799
## [1678]  873  554  822  410  686  278  724 1378  199  887  645 1578 1320
## [1691] 1184  122  492  554  278  339  282  362  757  590 1304  546  211
## [1704]  638 1605 1724 1333  441 1298  315  258 1074 1327 1525 1623 1362
## [1717]  206 1572 1591 1700   75 1003 1582  685 1283  247 1197 1352
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 554 unacc (0.23553241 0.04456019 0.67939815 0.04050926)  
##      2) persons=4,more 1166 554 unacc (0.34905660 0.06603774 0.52487136 0.06003431)  
##        4) safety=high,med 809 402 acc (0.50309023 0.09517923 0.31520396 0.08652658)  
##          8) maint=low,med 417 188 acc (0.54916067 0.18465228 0.11990408 0.14628297)  
##           16) buying=high,vhigh 186  43 acc (0.76881720 0.00000000 0.23118280 0.00000000)  
##             32) safety=high 93   3 acc (0.96774194 0.00000000 0.03225806 0.00000000)  
##               64) doors=3,4,5more 74   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) doors=2 19   3 acc (0.84210526 0.00000000 0.15789474 0.00000000)  
##                130) persons=4 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) persons=more 8   3 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                  262) lug_boot=big,med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) lug_boot=small 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) safety=med 93  40 acc (0.56989247 0.00000000 0.43010753 0.00000000)  
##               66) lug_boot=big,med 64  11 acc (0.82812500 0.00000000 0.17187500 0.00000000)  
##                132) lug_boot=big 36   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) lug_boot=med 28  11 acc (0.60714286 0.00000000 0.39285714 0.00000000)  
##                  266) doors=4,5more 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) doors=2,3 14   3 unacc (0.21428571 0.00000000 0.78571429 0.00000000)  
##                    534) persons=more 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                     1068) doors=3 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1069) doors=2 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    535) persons=4 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) lug_boot=small 29   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) buying=low,med 231 145 acc (0.37229437 0.33333333 0.03030303 0.26406926)  
##             34) safety=med 124  45 acc (0.63709677 0.33870968 0.02419355 0.00000000)  
##               68) lug_boot=small 46   3 acc (0.93478261 0.00000000 0.06521739 0.00000000)  
##                136) doors=3,4,5more 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 11   3 acc (0.72727273 0.00000000 0.27272727 0.00000000)  
##                  274) persons=4 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 78  36 good (0.46153846 0.53846154 0.00000000 0.00000000)  
##                138) buying=med 43  13 acc (0.69767442 0.30232558 0.00000000 0.00000000)  
##                  276) maint=med 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 21   8 good (0.38095238 0.61904762 0.00000000 0.00000000)  
##                    554) doors=2,3 12   4 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1108) lug_boot=med 9   1 acc (0.88888889 0.11111111 0.00000000 0.00000000)  
##                       2216) persons=4 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2217) persons=more 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                         4434) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4435) doors=3 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1109) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) doors=4,5more 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 35   6 good (0.17142857 0.82857143 0.00000000 0.00000000)  
##                  278) doors=2,3 15   6 good (0.40000000 0.60000000 0.00000000 0.00000000)  
##                    556) persons=4 6   1 acc (0.83333333 0.16666667 0.00000000 0.00000000)  
##                     1112) lug_boot=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1113) lug_boot=big 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    557) persons=more 9   1 good (0.11111111 0.88888889 0.00000000 0.00000000)  
##                     1114) lug_boot=med 4   1 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                       2228) doors=2 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2229) doors=3 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1115) lug_boot=big 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=4,5more 20   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 107  46 vgood (0.06542056 0.32710280 0.03738318 0.57009346)  
##               70) lug_boot=small 35  10 good (0.17142857 0.71428571 0.11428571 0.00000000)  
##                140) buying=med 11   5 acc (0.54545455 0.27272727 0.18181818 0.00000000)  
##                  280) maint=med 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    560) doors=3,4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) maint=low 4   1 good (0.00000000 0.75000000 0.25000000 0.00000000)  
##                    562) doors=3,4 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 24   2 good (0.00000000 0.91666667 0.08333333 0.00000000)  
##                  282) doors=3,4,5more 21   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 3   1 unacc (0.00000000 0.33333333 0.66666667 0.00000000)  
##                    566) persons=4 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 72  11 vgood (0.01388889 0.13888889 0.00000000 0.84722222)  
##                142) doors=2 21  11 good (0.04761905 0.47619048 0.00000000 0.47619048)  
##                  284) lug_boot=med 11   1 good (0.09090909 0.90909091 0.00000000 0.00000000)  
##                    568) maint=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1136) buying=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1137) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) maint=low 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 10   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 51   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) maint=high,vhigh 392 187 unacc (0.45408163 0.00000000 0.52295918 0.02295918)  
##           18) buying=high,low,med 300 122 acc (0.59333333 0.00000000 0.37666667 0.03000000)  
##             36) maint=high 157  41 acc (0.73885350 0.00000000 0.20382166 0.05732484)  
##               72) lug_boot=big,med 96  14 acc (0.85416667 0.00000000 0.05208333 0.09375000)  
##                144) buying=high,med 61   5 acc (0.91803279 0.00000000 0.08196721 0.00000000)  
##                  288) doors=3,4,5more 49   1 acc (0.97959184 0.00000000 0.02040816 0.00000000)  
##                    576) doors=4,5more 32   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    577) doors=3 17   1 acc (0.94117647 0.00000000 0.05882353 0.00000000)  
##                     1154) persons=more 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1155) persons=4 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                       2310) lug_boot=big 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2311) lug_boot=med 4   1 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                         4622) safety=high 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4623) safety=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  289) doors=2 12   4 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    578) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    579) lug_boot=med 5   1 unacc (0.20000000 0.00000000 0.80000000 0.00000000)  
##                     1158) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1159) safety=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                145) buying=low 35   9 acc (0.74285714 0.00000000 0.00000000 0.25714286)  
##                  290) safety=med 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) safety=high 14   5 vgood (0.35714286 0.00000000 0.00000000 0.64285714)  
##                    582) lug_boot=med 8   3 acc (0.62500000 0.00000000 0.00000000 0.37500000)  
##                     1164) doors=2 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1165) doors=3,4 4   1 vgood (0.25000000 0.00000000 0.00000000 0.75000000)  
##                       2330) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2331) persons=more 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    583) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               73) lug_boot=small 61  27 acc (0.55737705 0.00000000 0.44262295 0.00000000)  
##                146) safety=high 29   6 acc (0.79310345 0.00000000 0.20689655 0.00000000)  
##                  292) doors=3,4,5more 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) doors=2 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                    586) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) safety=med 32  11 unacc (0.34375000 0.00000000 0.65625000 0.00000000)  
##                  294) buying=low 14   3 acc (0.78571429 0.00000000 0.21428571 0.00000000)  
##                    588) doors=3,4,5more 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    589) doors=2 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1178) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1179) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  295) buying=high,med 18   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) maint=vhigh 143  62 unacc (0.43356643 0.00000000 0.56643357 0.00000000)  
##               74) buying=low,med 99  37 acc (0.62626263 0.00000000 0.37373737 0.00000000)  
##                148) lug_boot=big,med 52   7 acc (0.86538462 0.00000000 0.13461538 0.00000000)  
##                  296) lug_boot=big 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) lug_boot=med 25   7 acc (0.72000000 0.00000000 0.28000000 0.00000000)  
##                    594) doors=4,5more 12   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) doors=2,3 13   6 unacc (0.46153846 0.00000000 0.53846154 0.00000000)  
##                     1190) safety=high 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1191) safety=med 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) lug_boot=small 47  17 unacc (0.36170213 0.00000000 0.63829787 0.00000000)  
##                  298) safety=high 23   6 acc (0.73913043 0.00000000 0.26086957 0.00000000)  
##                    596) doors=3,4,5more 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 10   4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                     1194) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1195) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) safety=med 24   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) buying=high 44   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) buying=vhigh 92   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 357   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 562   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[22]]
## $bindx
##    [1] 1708 1454  568  532 1248  729 1110 1286  959  734  981 1620   78
##   [14]  676  464  963  587  956 1317  215  319  121  717   68 1332  614
##   [27] 1271  991 1707  853  678 1078 1619 1094  904 1238 1711 1095   91
##   [40]  685 1274   22   38 1036 1201  317 1088   21 1508  749 1432 1441
##   [53] 1282  801  985 1070  543 1212 1278 1449 1695  554 1684  511  470
##   [66]  284  828  458 1176  995 1550  884  317 1417 1316  412 1003 1386
##   [79] 1367 1280 1668 1102  412  916 1659  825 1249  694  355 1558 1508
##   [92]  905   30  197  471  601 1564  747 1600 1078 1344  726  747 1266
##  [105]  911  334  284  965  924 1397  577 1548  721 1246 1423  702 1054
##  [118]  428  983  816 1331  974  270  705  706  994  652  312  777  829
##  [131] 1080 1057  479  157 1425   16  376  433 1389  247  872  250  191
##  [144]  236 1164 1613  142  923  160  640 1325  831  988  161  130 1699
##  [157]  175 1440 1045  699  191  910  521 1578 1687 1212  426  676  562
##  [170]  379  186 1117  376  817 1177  194  660   94  803  663  793 1318
##  [183]  761  333  403  919 1154 1597 1535 1132  625 1410  987  544  216
##  [196] 1055  362 1106  550  896  726  183 1359 1628  975  514  592  958
##  [209]  268 1376   11 1533  736 1217  123  106 1319 1724  701  849 1106
##  [222] 1622 1291 1518   79 1084  901  717  684  361  373 1657 1296 1572
##  [235]  765 1664  698  938  431  144 1202   73  871 1395 1373  508  580
##  [248]  325 1573 1559 1188 1520 1604  269  441  785 1475 1395  103 1261
##  [261]  618 1504 1085  566  136 1554  702  642 1351 1406  645 1167  611
##  [274]  822 1434 1275  327  826  921  800  829  821  528 1032  119  465
##  [287]  824 1071  586 1483 1168 1262  932  414 1081 1148 1193  384  132
##  [300]  645 1278  803 1183 1116 1023 1715  284 1159 1428  213 1228 1460
##  [313]  711  568  897  563 1713 1480 1274 1375  619 1376  285 1624  589
##  [326] 1333 1688 1652 1044 1313   81  292 1266 1167 1144  791  938  757
##  [339] 1110  744 1196  602 1122 1446 1470  340 1549  944 1585   70 1007
##  [352] 1643  486   80 1659 1153  644 1326 1460  475 1202 1085 1063 1024
##  [365]  606  533 1528  155 1488 1573  796  260 1162  751 1352  181  149
##  [378]  423  636 1340  933   71 1565 1535  571 1456  225 1096 1331  922
##  [391] 1509  875 1092  581   34 1719 1462  376 1378  174   40  530   71
##  [404] 1634  750  686 1169 1582 1295 1552  189  968 1006   27 1532 1002
##  [417]  764 1511 1717  769  817  722  141  563 1589  146 1375 1266  759
##  [430] 1647 1369  487 1309  693  146  725 1534 1347 1108 1685 1082   17
##  [443] 1583  515 1161  845  318  854 1015  182  220 1333  306 1103 1568
##  [456]   62  434 1604 1027 1373   96  992  315 1314 1350  584 1308 1608
##  [469] 1667  341 1662 1164 1014 1140 1215 1640   33 1464  959 1057  450
##  [482]  641  878 1159  827 1393  973 1133  321  980  538  744  592  863
##  [495] 1164  175 1260 1631 1523  301 1241 1171   63 1009  635 1550 1335
##  [508] 1571  674  953  179 1241  463 1111  740  900 1080 1071  856 1722
##  [521] 1633  302  991 1238  571  185  968 1343 1148  904 1224  679  392
##  [534]  684 1128  208 1618  968  619   37 1284  169  604 1714  132 1703
##  [547] 1213 1132 1182 1673  760 1704 1240 1356 1033    5  431  784 1458
##  [560]  850  151  367 1036  152  213  786  422 1070   22  624  332  753
##  [573] 1559  753  716  364 1304 1357  142 1375  271 1282 1497  579  818
##  [586]  522 1602 1467  488 1321  994 1598  938 1639  966  470 1026 1243
##  [599] 1198 1691  496  566  174  976  124  581  998  556 1063  325  789
##  [612] 1353  202 1640 1161  306  949  114 1054 1202  603  946  505 1324
##  [625]  160  174 1712 1516  259 1647  585 1676 1323  557 1529  118  946
##  [638] 1677 1029  970   91 1100  581   41 1681 1304 1440  171  995 1370
##  [651]  390 1497    3  192 1175  952 1257  954 1067  801 1598 1201 1151
##  [664]  763  626 1422  248  734 1339  224 1674 1430 1659 1266  870 1229
##  [677] 1408 1338 1565 1415 1470  453  975   67 1525  736   67 1701 1256
##  [690]  146  587  952  356 1520  963  563  491  536  713 1216 1528 1664
##  [703]  285  234 1158  525  233 1698  742  651  114 1313 1435 1357 1612
##  [716] 1230  450  810 1589 1638 1060  941 1508  452  566 1380  522  557
##  [729]  985  464  241 1308 1355  919  315 1599   66  274  911 1022  905
##  [742]   22  289   78 1631  541  945  727 1434 1284 1159  504  201  995
##  [755]  654 1674  585  995 1679  881  652 1056   93 1361   79   76 1558
##  [768] 1597  955  967  489  211 1617 1493  763  662  557  513  877 1424
##  [781] 1182  905  877 1697 1267  641  324   94 1228  276 1676  487  964
##  [794]  860 1133 1074 1315 1514 1667   78  441 1351  208 1660  346 1456
##  [807] 1243  486  930 1641  350  205  948  783 1102 1353 1026  768  917
##  [820]  372  634 1711  763  279 1543 1253 1697  562  671  786 1666  800
##  [833] 1520  287  492 1390  884  343   41   64  103 1265 1349 1184 1071
##  [846]   10 1153  648  152 1441 1228 1229 1094  543  309  486  124 1388
##  [859]   52  537  855 1728  855  966  891 1053 1187 1421 1427  174 1434
##  [872] 1573  550  595  765 1345 1042   76 1643  216 1295  487 1409    2
##  [885] 1116  100  390 1600 1228 1097 1467 1063 1115  826  440  308  987
##  [898] 1157  152 1396  914  355 1027  513 1487 1122   57  139  491  209
##  [911]  701  134  168  870    4 1294 1007  104 1198 1593   41  294  500
##  [924]    8  760 1686 1704  199  843 1462 1336  161 1468  567  150  375
##  [937]  626  719  157  884    8  960 1405  649  703 1426  320  867  159
##  [950]  349 1721 1281  442 1626 1504  847 1697 1582  247  356  149 1254
##  [963] 1086 1187  682  604  413  432 1407  487 1521   29  366 1307 1184
##  [976]  384 1022 1251 1635  359  458  504   71 1318  494  830  240 1552
##  [989]   91 1009 1311   97 1085 1002  178 1154  390  619  400 1598 1239
## [1002]  603 1545  595  353  946  383  242    8   49  747 1325 1087 1531
## [1015] 1129  497 1689  491 1685 1088 1617  620  942 1261 1316  280 1247
## [1028] 1188  475 1336 1683  515 1042 1062 1306 1229   14  657 1660 1477
## [1041]  465 1249 1108 1231 1595 1560  859  784 1507  582 1376  730  262
## [1054]   31 1429 1355 1240 1608  435 1035 1632  975  570 1267  639  904
## [1067]   30  770   46  692  987  813 1264  365 1202    7  232  987  954
## [1080] 1021  583 1006  869 1622 1536  811 1472 1521  375 1613  423  949
## [1093] 1026  172 1127  662  383  141 1315 1143 1487  943 1428  755 1156
## [1106] 1234  440 1673  625 1461 1144 1028 1469   37 1194 1724 1633 1550
## [1119]   99 1171  838  517   40 1459 1332  417 1094 1119  908 1102  779
## [1132]  422 1088  897 1129 1024  228  461   37  799  194 1624  222  346
## [1145]  733 1648 1227  608  167 1226  205 1691  841  830  238    3  482
## [1158]  515   68 1116  486  428  604  117 1381 1017  761 1235 1234 1284
## [1171]  166 1562 1227 1585  243 1572 1671  342   84 1631   11  807    8
## [1184]  296 1117  219  842  795 1363 1460  977  704  226  697  471  484
## [1197]  784  506  214 1337  227 1468  266  892  227 1369 1238  538 1576
## [1210]  111  345 1034 1616 1424 1568  704  192  142  899  496 1223  480
## [1223]   11  567   44  849  531 1313  160 1555  569 1514 1345  706 1009
## [1236]  465  411 1252  502  750 1374  997  734 1552  426 1722  118 1667
## [1249]  722 1249 1510  691 1335 1623  659 1671  567   62 1281 1493 1033
## [1262] 1565 1154  191  480 1286 1510 1363  948  930  767 1058   66 1326
## [1275] 1331  867  962  351  386  706  479 1208 1208  801  919 1218 1203
## [1288] 1536 1416 1517 1206  329  796 1126  471 1083  314  658 1239  653
## [1301] 1250  985  212  955 1073 1175  340   61  977 1421 1722  891 1364
## [1314] 1530  566 1419   89  309 1071 1607  484  520  520  213  644 1466
## [1327] 1247 1259 1634  881  140  948 1357 1483 1541   77  727 1682  394
## [1340]  342  129 1633 1113  389 1454   19  845   11  254  223  961 1677
## [1353]  971 1303  222  938   68  360 1704 1414   28  398 1115  389  874
## [1366] 1176 1071  931  404 1292  219  573 1001 1662 1161 1281 1098  313
## [1379] 1449 1566  751 1115 1518 1681 1154 1673  644 1675 1658 1177 1157
## [1392]  746 1252  882  561 1220   17  795   21  738  399 1013   31   56
## [1405] 1721  273 1293 1635  411 1451  521 1162  764  387  466 1680 1146
## [1418] 1653  225  120  523  871 1649  310  476  300  813  979 1327 1309
## [1431]  365   74  378 1522  633 1374  964  952 1137  566  683 1566  854
## [1444]  467  331 1361  121 1051 1514  893 1661  810  676  302 1098 1685
## [1457]  545  640  746   87 1708  463 1319  695  245 1504  157 1334  212
## [1470]  169  772  467  241  480  109  320  815 1421 1428  543  217 1135
## [1483] 1163    1  782 1268  756   56 1685 1403 1705 1615  975  644  894
## [1496] 1728 1366  706 1170 1706  755  230 1646 1304  502 1007 1035  604
## [1509] 1169  316  550  617  621 1325  665  260  622  224 1598  608 1381
## [1522]  717  465 1680 1595   60 1488  426  734  228  572  819 1345 1114
## [1535] 1295  781 1719  949  728   29 1381  644 1697  421 1657 1053  516
## [1548] 1433  139  190  443 1067  781  911  314 1465  626  886  826 1273
## [1561] 1300  504   97  256 1380  238  417 1464 1055  324 1188 1489  709
## [1574] 1667 1709  670  939  639  381  118  354  697  999  476  204 1613
## [1587]  422 1266  782 1119  246 1356  159 1400 1232  157  525 1216  116
## [1600]  278   81 1169   41  706  277 1295  868 1301   50    2  723   43
## [1613]   76 1304 1067  904  328 1599  150  885  259 1316  341 1286 1263
## [1626] 1141  269  773   48  865  516  420 1433  639  163  512 1588  763
## [1639] 1400 1355  514  130  571 1348 1659  849  947 1554   73  878  607
## [1652] 1672 1125 1438  382 1708  845 1490  546 1328 1365  585 1375  327
## [1665] 1537 1515  896  757 1160 1518 1728  407 1696 1346 1377 1169 1230
## [1678] 1142  695 1265 1470 1032  859  242 1667  482 1072  488  885 1713
## [1691] 1543  782  764  747 1190  336  309  149 1420  900 1394  121  181
## [1704] 1046  942  962 1446  203  794  667 1406  983  539 1547  326   61
## [1717] 1478  565  974 1722  627  689 1634  914  311  895  323 1021
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 529 unacc (0.22569444 0.04745370 0.69386574 0.03298611)  
##      2) persons=4,more 1133 529 unacc (0.34421889 0.07237423 0.53309797 0.05030891)  
##        4) safety=high,med 762 372 acc (0.51181102 0.10761155 0.30577428 0.07480315)  
##          8) maint=low,med 404 180 acc (0.55445545 0.20297030 0.11386139 0.12871287)  
##           16) buying=high,vhigh 179  38 acc (0.78770950 0.00000000 0.21229050 0.00000000)  
##             32) lug_boot=big,med 121   9 acc (0.92561983 0.00000000 0.07438017 0.00000000)  
##               64) lug_boot=big 74   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               65) lug_boot=med 47   9 acc (0.80851064 0.00000000 0.19148936 0.00000000)  
##                130) doors=3,4,5more 39   3 acc (0.92307692 0.00000000 0.07692308 0.00000000)  
##                  260) doors=4,5more 29   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=3 10   3 acc (0.70000000 0.00000000 0.30000000 0.00000000)  
##                    522) persons=more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) persons=4 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1046) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) safety=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) doors=2 8   2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                  262) safety=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) safety=med 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             33) lug_boot=small 58  29 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##               66) safety=high 31   2 acc (0.93548387 0.00000000 0.06451613 0.00000000)  
##                132) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 7   2 acc (0.71428571 0.00000000 0.28571429 0.00000000)  
##                  266) persons=4 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 27   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) buying=low,med 225 142 acc (0.36888889 0.36444444 0.03555556 0.23111111)  
##             34) safety=med 125  52 acc (0.58400000 0.36800000 0.04800000 0.00000000)  
##               68) lug_boot=small 43   6 acc (0.86046512 0.00000000 0.13953488 0.00000000)  
##                136) doors=3,4,5more 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 10   4 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  274) persons=4 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 82  36 good (0.43902439 0.56097561 0.00000000 0.00000000)  
##                138) doors=2 20   2 acc (0.90000000 0.10000000 0.00000000 0.00000000)  
##                  276) lug_boot=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) lug_boot=big 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                    554) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    555) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) doors=3,4,5more 62  18 good (0.29032258 0.70967742 0.00000000 0.00000000)  
##                  278) maint=med 24  10 acc (0.58333333 0.41666667 0.00000000 0.00000000)  
##                    556) buying=med 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) buying=low 10   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) maint=low 38   4 good (0.10526316 0.89473684 0.00000000 0.00000000)  
##                    558) doors=3 15   4 good (0.26666667 0.73333333 0.00000000 0.00000000)  
##                     1116) persons=4 7   3 acc (0.57142857 0.42857143 0.00000000 0.00000000)  
##                       2232) lug_boot=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2233) lug_boot=big 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1117) persons=more 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 23   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 100  48 vgood (0.10000000 0.36000000 0.02000000 0.52000000)  
##               70) lug_boot=small 32   9 good (0.21875000 0.71875000 0.06250000 0.00000000)  
##                140) maint=med 10   3 acc (0.70000000 0.20000000 0.10000000 0.00000000)  
##                  280) buying=med 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) buying=low 3   1 good (0.00000000 0.66666667 0.33333333 0.00000000)  
##                    562) doors=3,4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) maint=low 22   1 good (0.00000000 0.95454545 0.04545455 0.00000000)  
##                  282) doors=3,4,5more 20   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 2   1 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                    566) persons=4 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 68  16 vgood (0.04411765 0.19117647 0.00000000 0.76470588)  
##                142) doors=2,3 33  16 vgood (0.09090909 0.39393939 0.00000000 0.51515152)  
##                  284) lug_boot=med 20   7 good (0.15000000 0.65000000 0.00000000 0.20000000)  
##                    568) persons=4 12   3 good (0.25000000 0.75000000 0.00000000 0.00000000)  
##                     1136) maint=med 5   2 acc (0.60000000 0.40000000 0.00000000 0.00000000)  
##                       2272) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2273) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1137) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) persons=more 8   4 good (0.00000000 0.50000000 0.00000000 0.50000000)  
##                     1138) doors=2 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) doors=3 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) lug_boot=big 13   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=4,5more 35   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) maint=high,vhigh 358 171 unacc (0.46368715 0.00000000 0.52234637 0.01396648)  
##           18) buying=high,low,med 275 109 acc (0.60363636 0.00000000 0.37818182 0.01818182)  
##             36) lug_boot=big,med 190  50 acc (0.73684211 0.00000000 0.23684211 0.02631579)  
##               72) buying=low,med 122  18 acc (0.85245902 0.00000000 0.10655738 0.04098361)  
##                144) doors=4,5more 57   1 acc (0.98245614 0.00000000 0.00000000 0.01754386)  
##                  288) maint=vhigh 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  289) maint=high 22   1 acc (0.95454545 0.00000000 0.00000000 0.04545455)  
##                    578) buying=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    579) buying=low 7   1 acc (0.85714286 0.00000000 0.00000000 0.14285714)  
##                     1158) safety=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1159) safety=high 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                145) doors=2,3 65  17 acc (0.73846154 0.00000000 0.20000000 0.06153846)  
##                  290) safety=high 30   4 acc (0.86666667 0.00000000 0.00000000 0.13333333)  
##                    580) lug_boot=med 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    581) lug_boot=big 15   4 acc (0.73333333 0.00000000 0.00000000 0.26666667)  
##                     1162) buying=med 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1163) buying=low 7   3 vgood (0.42857143 0.00000000 0.00000000 0.57142857)  
##                       2326) maint=vhigh 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2327) maint=high 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  291) safety=med 35  13 acc (0.62857143 0.00000000 0.37142857 0.00000000)  
##                    582) lug_boot=big 14   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) lug_boot=med 21   8 unacc (0.38095238 0.00000000 0.61904762 0.00000000)  
##                     1166) persons=more 14   6 acc (0.57142857 0.00000000 0.42857143 0.00000000)  
##                       2332) doors=3 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2333) doors=2 7   1 unacc (0.14285714 0.00000000 0.85714286 0.00000000)  
##                         4666) buying=low 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                           9332) maint=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                           9333) maint=vhigh 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                         4667) buying=med 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1167) persons=4 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) buying=high 68  32 acc (0.52941176 0.00000000 0.47058824 0.00000000)  
##                146) maint=high 43   7 acc (0.83720930 0.00000000 0.16279070 0.00000000)  
##                  292) lug_boot=big 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) lug_boot=med 21   7 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    586) doors=4,5more 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) doors=2,3 8   1 unacc (0.12500000 0.00000000 0.87500000 0.00000000)  
##                     1174) safety=high 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) safety=med 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) maint=vhigh 25   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 85  26 unacc (0.30588235 0.00000000 0.69411765 0.00000000)  
##               74) safety=high 36  14 acc (0.61111111 0.00000000 0.38888889 0.00000000)  
##                148) buying=low,med 22   4 acc (0.81818182 0.00000000 0.18181818 0.00000000)  
##                  296) doors=3,4,5more 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2 7   3 unacc (0.42857143 0.00000000 0.57142857 0.00000000)  
##                    594) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) buying=high 14   4 unacc (0.28571429 0.00000000 0.71428571 0.00000000)  
##                  298) maint=high 5   1 acc (0.80000000 0.00000000 0.20000000 0.00000000)  
##                    596) doors=3,4,5more 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) maint=vhigh 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 49   4 unacc (0.08163265 0.00000000 0.91836735 0.00000000)  
##                150) maint=high 16   4 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                  300) buying=low 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    600) doors=3,4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    601) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1202) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1203) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  301) buying=high,med 10   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                151) maint=vhigh 33   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) buying=vhigh 83   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 371   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 595   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[23]]
## $bindx
##    [1] 1700  283 1534  571  132 1160 1073  510 1687  898  440 1497   33
##   [14]  937  525 1447  246  739  416 1111  524 1003 1196 1224  452 1371
##   [27]  319  211  791 1506   98  612    9 1218   46 1569 1449 1506  519
##   [40] 1722  430 1353   80 1272  856  662  485 1366 1609 1235  224 1175
##   [53]  851 1523  208 1465 1229  348 1340 1454 1327 1251  795  488 1658
##   [66]  793  919  100 1121 1168 1136 1579 1026   27  812  421 1714 1209
##   [79] 1290  186 1333  363  361 1063  879 1415  355  672  409  554 1251
##   [92]  862 1220 1429 1519 1604 1432  651  125 1175 1609 1332  273 1332
##  [105] 1558 1463 1046  945  794  978  512 1021 1526  499  674 1647 1477
##  [118]  422  577  573 1197  673 1343 1583  955 1703 1440 1576  627  343
##  [131]  655 1232 1576 1076  488 1433 1479  153 1708  836  189 1195 1615
##  [144]  947  707 1273  252  703  111 1390  713 1586 1569 1534  656  291
##  [157]  166  712 1242  312  497  564 1573  326 1592 1161  421 1503  736
##  [170]   94  355   65  472 1096 1716 1599 1094  686  549 1182  744 1045
##  [183] 1535  115   11 1139 1573  336  325  125  935  226  475  703  725
##  [196] 1070  570 1002 1049  256 1694  704  114 1541 1200  305   65 1345
##  [209]   47 1351  258 1324 1693 1349  442 1387 1010  117  475  781  779
##  [222]  517 1189  322 1326 1649  871  399 1568 1328 1327  898   17 1371
##  [235] 1264 1531 1015 1712 1252  515 1515 1185  285   71  820 1031  256
##  [248] 1177  796  321  537  313  903 1090  527 1152  315 1623  764  347
##  [261]  207  645  119   95  435 1382   28   53  953  586 1083  544 1206
##  [274]  396  660  797  981  134  466  981  315 1454 1407  347   17  563
##  [287]  872  362 1549 1399 1498  339  471  442 1290  556 1255  221  165
##  [300] 1254  337 1024  914 1511  165 1237  540 1406  867 1189  814  837
##  [313] 1686  568 1677  227  928  473 1470  860 1469  797 1171 1306 1048
##  [326]  758  427  146  896 1431 1034   67  731  291 1395  804   29  178
##  [339] 1126  929  879  420 1501 1047 1572  698  955   73   41 1180  991
##  [352]  249 1571  704 1565 1380  581 1475  533 1616  846 1165  511 1578
##  [365] 1463  238  683  290 1538  648  449  866  686 1145  950 1033 1268
##  [378]  278  953 1262   68 1264  644  438  559 1090 1550  660 1055 1281
##  [391] 1071   70  350 1377  210  666 1083  642  220 1543   77  282  911
##  [404] 1613 1522  431  759  382 1405 1308 1634 1502 1335 1388 1003 1059
##  [417]  726  509 1632   28 1156 1126  627  128  576  588  596 1520  829
##  [430]  672 1398  619  717 1346 1091  718 1573  496 1650 1164 1319  979
##  [443] 1107 1050 1437  282  767  111 1269 1606 1425  129 1405 1254 1347
##  [456] 1649  474 1361  943 1635  327  438 1056  441 1524 1108   47  921
##  [469] 1643 1356  441  231  957  710 1133  827 1708  597  170   60  397
##  [482] 1635   98  285 1699  439 1401  417  175 1668  874   49  502  491
##  [495] 1423 1696 1442 1492 1454  637  182 1162   83   39 1208 1277 1550
##  [508] 1388 1038  836 1711 1670  194 1697  575  714 1129 1721  178 1192
##  [521] 1580  493 1561  778 1582 1575  589  166 1252  274 1051  569  590
##  [534]  487 1276 1448 1209  191  783  509  391 1416 1004  991  237 1246
##  [547]  522  131 1404  957  222  861  165 1727    8  464 1522  941 1064
##  [560] 1165  397 1061 1048 1159 1662 1612 1253  117  540    4 1466  705
##  [573]  324 1297  574  470  727 1576 1455  127 1345 1535  849 1481  582
##  [586] 1137  205  189 1288  565  706  814  305  155  884  425  267 1092
##  [599] 1661  312 1335 1562  566  765 1467  494  639  731 1557  537 1539
##  [612] 1046  725  827 1503  986  930  344  348  903 1717 1017  966  605
##  [625]  326 1139 1425 1319  701 1445   57  651  675 1425  683  890  423
##  [638]  740 1148  144  165  920  551  900  829 1359   29  484  259  995
##  [651] 1205  639  285 1310  654  832  109 1273  212  703 1149 1708 1627
##  [664]  475 1452  295  123  893 1646  484 1200 1505 1066  783 1145 1248
##  [677]  771  832 1674 1131  939  529  631  466 1475 1657 1440 1456  417
##  [690]  832  123 1635  619  349 1380  504 1575 1645  560  744 1400  178
##  [703] 1239 1598  349   87 1549 1038 1026 1326 1147  413 1440  259  776
##  [716]   54  605  827 1510 1268   87 1628  723 1037  695   16 1249  313
##  [729]   20   74  633  357 1549  164 1582 1644 1203   27  841 1416 1196
##  [742]   48 1680  825  502 1392  805 1406 1037  325  942 1502  600  579
##  [755]  313  710  480 1346 1482 1393  379 1182  242  127 1068  796 1712
##  [768]  666  262 1604  458  776  917 1250   94  944 1417 1679 1455 1221
##  [781] 1273  680 1392  284 1416  373 1368 1156  145 1252  418   59   23
##  [794] 1665  701  841   31 1625 1709 1252 1183 1192 1016   77 1464 1597
##  [807]   30 1354 1389 1649    3 1293   93 1158 1703  580 1384 1161  442
##  [820] 1180   26  183  633   87  398  292 1096  869  937  572  126 1479
##  [833]  941 1088 1441 1357 1104  287 1699 1055 1444   77  869 1334 1492
##  [846]  620 1052  795 1521  131  152  928   64 1452  188  707  138  226
##  [859]  866  467  968  101 1203  771  114  799  984    6  189 1418  530
##  [872] 1273  682  641  237  476    8 1016  632 1720 1284 1268 1548  253
##  [885] 1454 1712 1081   97 1035 1428  857 1243  252 1617 1032  316  664
##  [898] 1616 1366  907 1415 1354 1422 1631  493  382  519 1487  904 1445
##  [911]  909 1552 1530   10  783  555  486  972  996  177 1428 1539 1467
##  [924] 1289  122  259  176  773 1033  568  176 1498 1511   93  411 1639
##  [937]   50 1265   27  585  532  964  378  987   38 1159  355 1552  805
##  [950]   55  789 1170 1644  833 1258  612  848 1358  293  439 1519    7
##  [963] 1715  690  991 1694 1060 1051   41  649 1144  606 1512  867  366
##  [976]  394  629 1098 1421   45  411  653  842  106  951 1680  806 1102
##  [989]  439 1400  641  429 1712 1123 1474 1715  651 1590  916  730  401
## [1002]   57  686  456 1328 1468  410 1623  139 1662 1102  348 1432 1446
## [1015]  553  320  748  332  382 1613  780  635 1437  413 1671  611   94
## [1028] 1213  223  923  615 1637  422  875  792 1636  541  284  977 1607
## [1041]  303 1153  153 1389 1397 1205  997  493   37  138  953  911   31
## [1054] 1405   46  906  139 1415  362  690  567 1614  688  280  675   80
## [1067] 1007  341 1619 1387  592 1198 1575  645 1551  379  357  710  626
## [1080]  132  480  783  397   49  297  379  536 1394 1562  761  972 1429
## [1093]  734  446 1483 1047  400  301  468 1373 1012  917 1545 1478  239
## [1106]  764 1029  206 1203 1367 1616  364  234 1619 1605 1019  772  829
## [1119]  561 1690  161  802 1180 1293   42  807 1528   42 1476 1496  457
## [1132] 1217  491 1664  153   43  519   72  960  766  137 1107  389 1121
## [1145] 1191 1076  248 1135 1184  648  309 1316  739  683 1146  717  478
## [1158] 1493  204  972 1277   28  231  244 1433 1390 1083 1071  526 1105
## [1171] 1368  235  930  763 1491 1038 1026 1725 1422  536 1231 1594  697
## [1184]  628  627 1382  754 1313 1558  158  990  734 1348 1519 1276  511
## [1197]  944  949 1570  785  452 1394  708  857 1000  994  415  289 1585
## [1210] 1297  156 1588 1241    1 1559 1044 1480 1380 1499  529   37  688
## [1223]  258 1588  243  197 1611  606  366  462 1687 1006 1422 1560 1348
## [1236]  929  641  612 1222 1124  317  544  750  761  286  352  292 1042
## [1249]  653  650 1610  552 1023  430 1097  447 1247  412 1646 1190  167
## [1262] 1532  959 1269    3  566 1075 1429  763  962   37  674   96  427
## [1275] 1646  322  820  481  458 1343   88  247  147  340  978  301 1622
## [1288] 1654  618  767 1016 1076 1603   66   85   16 1478 1068  674  119
## [1301]  136  507   52  274  143  913 1429  360 1643 1447  391  302  681
## [1314]  831 1684 1695 1430 1036  402  990  162  382  804  975  873  798
## [1327] 1459 1403 1426   93  745 1094 1450 1064  133   91   66  730 1054
## [1340]   71 1478 1346   69  351  423  125  812  918  905  644 1410 1004
## [1353]  354 1029  781 1218 1439  845 1539 1298 1377  655  642 1149  313
## [1366]  153 1726 1650 1277  537  808  251   50 1559 1363  357 1262  754
## [1379] 1373 1396  264  128 1331 1094 1178 1361  501  884  767 1431 1191
## [1392]  989  593  942  696 1402 1437  633 1491 1551  170  864 1485  216
## [1405]  666  296  686  634  705  143 1145  650  945 1062 1330 1242 1317
## [1418] 1449  938 1655   28 1448   63  401  695 1635 1555  713 1340 1164
## [1431] 1083  877  143 1674  622 1510  818  894 1099  387 1261 1176  855
## [1444]  121 1658  142  151  615  539   11 1576  794 1582  441 1457 1507
## [1457]  425 1417 1512 1704   55  320  130   57 1285 1426  396  178  959
## [1470] 1719 1262  245  374 1033 1099  382  854  293  591 1416  790  511
## [1483]   28  999  930 1141 1149  595  236  562  133   53  500  247  541
## [1496]  562 1350 1698 1045  494 1512  575  554 1249  776 1178 1162  130
## [1509] 1688 1206  737  612 1600  490  612  482 1572  314  637 1233  350
## [1522]  546  282  717  810 1394  865  784 1116  773  541 1574 1070  509
## [1535] 1529 1241 1023  939  590  680  896 1652  397 1568  430  279 1409
## [1548]  329  814 1369  886  227  566 1340   60  568  974  342  215  964
## [1561]  159  796 1354 1078   58 1246 1482 1290 1482 1698  663 1687  683
## [1574]  212  776  548  325  585 1268  277  368 1444   12 1378 1028  205
## [1587]   78  210  611  598 1357  956  113 1047 1210  720 1297  287  782
## [1600] 1053  813  114  963 1495 1437 1174  667  819  882  743  841  501
## [1613] 1400 1346 1441  181  419  801  763 1465  588 1189 1204  770  420
## [1626] 1604 1109  759  734 1253  459  437 1342  383  534 1169  411  509
## [1639]  619  775 1531 1177 1428 1281  162  165 1152 1106   99 1495  738
## [1652] 1371  466  923  944   84  597  433 1655  903  102  714 1083 1621
## [1665]  560 1139 1467  440  212  280  753   86 1710 1570 1312  262  777
## [1678]  421   42  127  675 1065  516  133  139 1713  552 1321 1221 1297
## [1691]  167 1711 1249 1651   21 1186  159 1013  146 1517 1713 1454 1075
## [1704]  762 1201  980  440  279  375  249 1704 1490 1709    3 1458 1422
## [1717] 1007 1018  590  963  942  661 1563 1651  901 1516  421 1245
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 547 unacc (0.23784722 0.04108796 0.68344907 0.03761574)  
##      2) safety=high,med 1165 547 unacc (0.35278970 0.06094421 0.53047210 0.05579399)  
##        4) persons=4,more 800 389 acc (0.51375000 0.08875000 0.31625000 0.08125000)  
##          8) buying=low,med 404 178 acc (0.55940594 0.17574257 0.10396040 0.16089109)  
##           16) maint=high,vhigh 224  59 acc (0.73660714 0.00000000 0.16964286 0.09375000)  
##             32) lug_boot=big,med 143  28 acc (0.80419580 0.00000000 0.04895105 0.14685315)  
##               64) safety=med 72   7 acc (0.90277778 0.00000000 0.09722222 0.00000000)  
##                128) doors=3,4,5more 61   2 acc (0.96721311 0.00000000 0.03278689 0.00000000)  
##                  256) buying=low 36   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  257) buying=med 25   2 acc (0.92000000 0.00000000 0.08000000 0.00000000)  
##                    514) doors=4,5more 17   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    515) doors=3 8   2 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                     1030) lug_boot=big 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1031) lug_boot=med 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                       2062) persons=more 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2063) persons=4 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                129) doors=2 11   5 acc (0.54545455 0.00000000 0.45454545 0.00000000)  
##                  258) lug_boot=big 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 6   1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)  
##                    518) maint=high 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1036) buying=low 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1037) buying=med 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    519) maint=vhigh 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) safety=high 71  21 acc (0.70422535 0.00000000 0.00000000 0.29577465)  
##                130) buying=med 35   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) buying=low 36  15 vgood (0.41666667 0.00000000 0.00000000 0.58333333)  
##                  262) maint=vhigh 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 25   4 vgood (0.16000000 0.00000000 0.00000000 0.84000000)  
##                    526) lug_boot=med 9   4 vgood (0.44444444 0.00000000 0.00000000 0.55555556)  
##                     1052) doors=2 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) doors=3,4 6   1 vgood (0.16666667 0.00000000 0.00000000 0.83333333)  
##                       2106) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2107) persons=more 5   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) lug_boot=big 16   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 81  31 acc (0.61728395 0.00000000 0.38271605 0.00000000)  
##               66) safety=high 44   4 acc (0.90909091 0.00000000 0.09090909 0.00000000)  
##                132) doors=3,4,5more 34   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                  266) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 37  10 unacc (0.27027027 0.00000000 0.72972973 0.00000000)  
##                134) buying=low 19   9 acc (0.52631579 0.00000000 0.47368421 0.00000000)  
##                  268) maint=high 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 18   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 180 109 good (0.33888889 0.39444444 0.02222222 0.24444444)  
##             34) safety=med 95  39 acc (0.58947368 0.38947368 0.02105263 0.00000000)  
##               68) lug_boot=small 34   2 acc (0.94117647 0.00000000 0.05882353 0.00000000)  
##                136) doors=3,4,5more 29   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                137) doors=2 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                  274) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               69) lug_boot=big,med 61  24 good (0.39344262 0.60655738 0.00000000 0.00000000)  
##                138) buying=med 27  10 acc (0.62962963 0.37037037 0.00000000 0.00000000)  
##                  276) maint=med 16   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 11   1 good (0.09090909 0.90909091 0.00000000 0.00000000)  
##                    554) lug_boot=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                     1108) doors=3 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1109) doors=4 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    555) lug_boot=big 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 34   7 good (0.20588235 0.79411765 0.00000000 0.00000000)  
##                  278) doors=2 12   6 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                    556) lug_boot=med 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    557) lug_boot=big 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  279) doors=3,4,5more 22   1 good (0.04545455 0.95454545 0.00000000 0.00000000)  
##                    558) doors=3 6   1 good (0.16666667 0.83333333 0.00000000 0.00000000)  
##                     1116) persons=4 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                       2232) lug_boot=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2233) lug_boot=big 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1117) persons=more 4   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    559) doors=4,5more 16   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 85  41 vgood (0.05882353 0.40000000 0.02352941 0.51764706)  
##               70) lug_boot=small 29   6 good (0.13793103 0.79310345 0.06896552 0.00000000)  
##                140) buying=med 15   6 good (0.26666667 0.60000000 0.13333333 0.00000000)  
##                  280) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  281) maint=low 11   2 good (0.00000000 0.81818182 0.18181818 0.00000000)  
##                    562) doors=4,5more 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 4   2 good (0.00000000 0.50000000 0.50000000 0.00000000)  
##                     1126) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 14   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               71) lug_boot=big,med 56  12 vgood (0.01785714 0.19642857 0.00000000 0.78571429)  
##                142) doors=2 20  10 vgood (0.05000000 0.45000000 0.00000000 0.50000000)  
##                  284) lug_boot=med 10   1 good (0.10000000 0.90000000 0.00000000 0.00000000)  
##                    568) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    569) maint=low 9   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  285) lug_boot=big 10   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) doors=3,4,5more 36   2 vgood (0.00000000 0.05555556 0.00000000 0.94444444)  
##                  286) doors=3 13   2 vgood (0.00000000 0.15384615 0.00000000 0.84615385)  
##                    572) persons=4 5   2 vgood (0.00000000 0.40000000 0.00000000 0.60000000)  
##                     1144) lug_boot=med 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1145) lug_boot=big 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    573) persons=more 8   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  287) doors=4,5more 23   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 396 185 unacc (0.46717172 0.00000000 0.53282828 0.00000000)  
##           18) maint=high,low,med 297 112 acc (0.62289562 0.00000000 0.37710438 0.00000000)  
##             36) safety=high 159  31 acc (0.80503145 0.00000000 0.19496855 0.00000000)  
##               72) maint=low,med 98   3 acc (0.96938776 0.00000000 0.03061224 0.00000000)  
##                144) lug_boot=big,med 70   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                145) lug_boot=small 28   3 acc (0.89285714 0.00000000 0.10714286 0.00000000)  
##                  290) doors=3,4,5more 22   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  291) doors=2 6   3 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                    582) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    583) persons=more 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               73) maint=high 61  28 acc (0.54098361 0.00000000 0.45901639 0.00000000)  
##                146) buying=high 34   1 acc (0.97058824 0.00000000 0.02941176 0.00000000)  
##                  292) doors=3,4,5more 28   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  293) doors=2 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    586) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    587) persons=more 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1174) lug_boot=big,med 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1175) lug_boot=small 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                147) buying=vhigh 27   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) safety=med 138  57 unacc (0.41304348 0.00000000 0.58695652 0.00000000)  
##               74) lug_boot=big,med 87  30 acc (0.65517241 0.00000000 0.34482759 0.00000000)  
##                148) maint=low,med 52   8 acc (0.84615385 0.00000000 0.15384615 0.00000000)  
##                  296) doors=4,5more 28   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  297) doors=2,3 24   8 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    594) lug_boot=big 13   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    595) lug_boot=med 11   3 unacc (0.27272727 0.00000000 0.72727273 0.00000000)  
##                     1190) doors=3 5   2 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                       2380) persons=more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2381) persons=4 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1191) doors=2 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                149) maint=high 35  13 unacc (0.37142857 0.00000000 0.62857143 0.00000000)  
##                  298) buying=high 17   4 acc (0.76470588 0.00000000 0.23529412 0.00000000)  
##                    596) lug_boot=big 7   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    597) lug_boot=med 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                     1194) doors=3,5more 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                       2388) persons=more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2389) persons=4 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                         4778) doors=5more 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4779) doors=3 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                     1195) doors=2 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  299) buying=vhigh 18   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) lug_boot=small 51   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=vhigh 99   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) persons=2 365   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) safety=low 563   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[24]]
## $bindx
##    [1]   55  884  985  224  293  242  883  294   96 1678 1665 1030 1459
##   [14]  855 1665   69 1561 1517 1509  111  204  569  464   26   56  245
##   [27]  375  671 1460  681 1126   49 1265 1217 1108  833  298 1219 1672
##   [40] 1081  773  746 1133 1508 1700   66  566 1673  565  955 1708  115
##   [53] 1521 1339 1081  545 1430  641 1560  600 1113  973  924  999  593
##   [66] 1660 1708 1660  614 1048  191 1385 1436 1347 1248 1116 1582  350
##   [79]  450 1367   66  506 1227 1233 1168    3  335  879  379  957   55
##   [92]  225 1086 1550  338 1536  323  986   22  131  942 1332  904  852
##  [105] 1535 1032   62 1269 1148  967  263 1674 1172  259 1010  553  803
##  [118] 1118 1653 1200 1531 1068 1476  389 1233  563 1510  602   58  960
##  [131] 1182  224  187 1083  913 1625 1647  548  267  735 1218 1519  163
##  [144] 1568 1303   21 1316 1570  765  131  576 1576 1112 1262  776  952
##  [157]  514 1336  430  313 1242 1542 1473  845 1571 1108  570  564 1268
##  [170]  605  994  483 1649 1426  556  120  516  363 1166 1008  237 1487
##  [183]  229  196 1534  711 1403 1233  929 1261  379  320 1240 1655   10
##  [196] 1145  645  481  735 1366  275  969 1357  598 1469  925  935  216
##  [209]  554 1364 1660  131  416 1447  946 1341  808  695 1247  807  249
##  [222] 1326 1135  957  317 1336 1119 1571  862 1472  264  152 1689 1436
##  [235]  312 1345 1706  763 1266 1116 1254  929  217  284 1716  203 1003
##  [248]  423 1279 1362 1274 1157  525   78 1364 1298 1263  217 1448 1077
##  [261] 1569  796 1042  699  546 1563  517  341  709  994 1473 1695   91
##  [274]  479   82 1053  942 1632 1192 1660  780 1661  559  972   69 1409
##  [287]  189  547 1545  582  985  440 1333  450 1555  438  263    3  736
##  [300] 1714  314 1334  763  113 1063  546 1267  606   49  333 1393  197
##  [313] 1609 1687  479  612 1691  467 1278 1112  821  196 1598  378  970
##  [326]  267  188  682 1487  808 1493 1699 1654 1111 1695  968 1297 1634
##  [339]  169  739 1341  800  177  662  469 1680  797  837 1715   93 1680
##  [352] 1086  187 1270  627  905 1398 1658 1625  642 1435 1268 1324  659
##  [365] 1564  154 1629  490 1347  680 1663  140 1000 1031  728  217  860
##  [378]   40  265  603  745 1450 1202  980 1179 1256  884   55  413  884
##  [391]  813 1081  839 1438  504 1565  912  412  552  697  573  473 1700
##  [404] 1642  855  400  487 1441 1710  596  743 1086 1047  195  516  721
##  [417]  623 1467 1579 1460 1572  507 1527 1441  266  643 1378  705  973
##  [430]  764  364   17 1181  216 1557  822 1347  794  445 1531  265  275
##  [443] 1565 1577 1450 1378 1216 1404  783 1609  163 1685  221  388 1407
##  [456]  799 1207  512   17 1436  665 1552  303 1474  865 1416 1337 1308
##  [469]  363  712 1574  241 1640 1022  456 1439  460  690 1182  463  110
##  [482]  495 1623 1147 1303 1409 1330  632 1652 1623  227  510 1249  463
##  [495] 1375 1001  750 1065  122  202 1684  848  845  253 1169 1019 1593
##  [508]  600  167  295 1222 1370 1222  123  599 1176 1041  546  416   65
##  [521]  303  633  377  297  961 1543  557  407  518  779  583 1141  849
##  [534] 1549 1444  343   33  201 1402 1203  779  206 1095  519  216  442
##  [547] 1323 1169  771  674 1599  239  310 1037  177 1235 1205 1197 1262
##  [560] 1229  477 1450  785 1000 1336  471  223 1530 1595 1504  748   73
##  [573]   50  491  614  580  443  694  149 1529  649  516  640 1498 1306
##  [586]  352  659  964  563  627 1617  519 1272  455  832  239  958 1268
##  [599]  651  579 1505  251  471  794  547 1475  384  345  194  117  149
##  [612]  911  393 1623   58 1493  540  461 1165 1001   79  553 1584 1449
##  [625]  746 1275  364 1267 1506  979  176 1034   74  498  965 1508 1708
##  [638]   51  163   12 1379 1067 1714 1244  582  925  872  869  704  227
##  [651]  930 1583 1118 1330  504 1276   66 1101 1228  316  251  817 1024
##  [664] 1520 1574  260  437 1022 1551  970  228  555 1602 1219   62 1096
##  [677]  488  193 1078  819 1668  366  126  250 1690 1049 1573  607  437
##  [690]  304 1306 1712  719 1633  445 1434  463  585 1719 1306 1521 1044
##  [703]  808 1445 1659 1724   88  410 1522  736  914  638  717  277  680
##  [716] 1492  231  399  698  581 1529 1007 1268  406 1204 1624  494   95
##  [729]  317 1701  879 1065 1655  490  858 1045  900  956 1714 1449  635
##  [742]  419  416  859 1105 1635   38 1169 1673  879    9 1699  686   73
##  [755] 1024  186 1026  294   34  244  136  987 1255 1385  405 1321  757
##  [768] 1295  934  619 1023  151  832 1151  830 1145  871  585  597  486
##  [781]  402 1481  340  618  487 1149  446  144 1390  641  233  510 1065
##  [794] 1063 1399  582  244 1562   34  840 1288 1113 1092 1191  309 1555
##  [807] 1703  384  154 1710  533 1626  250  287 1112  934  731  491 1401
##  [820]  368  809 1631  202  257  844  197  402 1505  286  465 1036 1031
##  [833] 1247  402  687 1698  817 1306 1707  917 1717 1315 1328  377 1037
##  [846]  727 1564  781 1292  400    9  795  414 1399  534 1667   57 1564
##  [859]  609 1355  894 1500    4  202  601  657 1515 1158 1350  479  472
##  [872] 1337  316  732 1152  405 1376 1096  882  688  981  284  185 1159
##  [885]  565  553 1584 1705 1258  802   47 1196 1677 1596 1112  637  901
##  [898] 1563 1657  427 1426  983 1152 1447  955  849 1096 1609 1259  345
##  [911] 1638  282  465  130  367 1298  341  416   32  282  105 1577 1046
##  [924] 1508  534   24  179 1295   39  882 1489   35 1030 1011  692 1295
##  [937] 1216  164  165 1536 1417   79  483  645  316  757 1411  392  109
##  [950] 1685 1461 1084  271 1370  624 1418 1084 1032 1552  929 1278   95
##  [963]  287   12 1046  790 1116 1535  477 1153  967 1116  820  324 1129
##  [976]  137  630 1485   41 1269  849  613  413  438  836 1712  107  868
##  [989] 1064   94  581 1398  111  613  266   32 1717  941  890  495  593
## [1002] 1418   10 1240 1428 1164 1603 1545 1603 1056  738  893  513  186
## [1015] 1424 1095  175  786  921  132 1396  967 1183  260  404 1097 1700
## [1028] 1237  251  212 1372 1011 1094 1362  126  292  809  833 1683 1015
## [1041]  376 1094  504  390  751  258  608 1433  748  509  424 1629 1712
## [1054] 1597  938  838  726  480  988  138 1458 1410  812 1008 1694 1620
## [1067]  685 1555 1397 1408 1364 1406  930  473 1367 1528 1292 1380  631
## [1080]  376  925  730 1193  606 1147 1571  135   34  171  409  692  855
## [1093]   70 1525  356  861   16    2 1280  975 1512  884  629  449 1216
## [1106] 1611 1340 1198 1365 1256  949 1511  724 1471  857 1118 1195    9
## [1119]   46  600 1153  431  834 1425  300  236 1616  873 1182  983  202
## [1132]  521 1595  689  894 1686 1127 1237 1310 1298 1414 1046  760 1208
## [1145] 1449 1588  121  758 1590  350  380  814  306 1630 1276  762 1725
## [1158]   34 1366  159  212 1475  767  313  340 1069  820   63  257  238
## [1171] 1397  861    1  249 1379 1603  938  747 1344 1476 1145 1173 1302
## [1184]  109  218 1611  387 1696  713 1654 1033 1093  810  282 1645 1089
## [1197] 1219  276  384 1554  508   81  201  440  578  695   45 1563  749
## [1210] 1699  382 1276  915 1066  307   50  173 1226 1584 1100  214 1638
## [1223]  454  154  428 1012 1162  798  128  323  132  679 1389    4  194
## [1236]  370  917  968  934 1122  691 1510 1150 1283  331 1358 1671 1619
## [1249] 1504   66  401 1497   30  560 1399 1458 1611  670  701 1356  245
## [1262]  923 1201  292 1088 1126 1400  134 1166 1627  178 1548  360 1181
## [1275]  129 1183 1313 1311  858  764  271  161  267 1536  888 1208  492
## [1288]   90 1156  983 1504 1085  219  729   77 1314  156 1496 1702  184
## [1301] 1707  434 1197  854  671  591  385 1684  559  790  878 1141  746
## [1314]   33   74  765 1114  626  679  916  226 1283 1059  559 1717 1327
## [1327]  973  175  289  760 1158  664  874  689  226  989 1414 1414  613
## [1340]  672  119  461  268  536 1386  145  874   76 1501  225 1108  282
## [1353] 1073  246  243 1615 1657 1663  983 1540 1556 1672  483 1722 1680
## [1366]  328 1136 1539  489   14 1214 1532 1487 1577 1495  238 1141  829
## [1379] 1706 1649  583 1421  796 1687  235  628  333   50   90  635  478
## [1392]  784 1301  913  476  545  299  449  818 1078  369  204  817 1641
## [1405]  656  755  282  519  345   11  771 1038  650 1248   12 1105   39
## [1418] 1674  288  264  748  918 1142 1422 1554  464 1338 1665 1351  784
## [1431]  336 1049 1355  529  325  936 1599 1458 1134   12 1297  500  201
## [1444] 1139 1712 1445 1389 1644  609  184 1185  499 1554  478 1021 1497
## [1457] 1586 1404  359  186   86 1285  840 1253 1679  573  516  428  558
## [1470] 1470  147  742 1610  567 1519 1195  116  829  424 1085  963  550
## [1483] 1014  794  109 1483 1388 1060   93   31  318  444 1618   45  587
## [1496]  609   99 1477  783  607 1669  424 1420  856  432  985  251  818
## [1509] 1450 1701  557 1396  120 1141  701  177  514 1194 1491  153  744
## [1522]  638  318  191  465 1396 1039  677 1383  259 1542  246  736  550
## [1535]   29  851  744   64 1104   70  163 1111 1644  149 1214 1553 1559
## [1548] 1008 1624  363 1379 1035  959 1519  897  984  952  843 1572  833
## [1561] 1051 1432 1337  756  439  750 1506 1410   92 1328  763 1666 1035
## [1574] 1680  295 1317  234  960  281 1207  604 1386 1673 1245  390 1428
## [1587] 1103 1435  627  503 1528  579  712  299 1409  755  342 1203 1292
## [1600] 1078 1304 1517  874  500  304 1481 1301  381  736  121  898  793
## [1613]  902  539 1000  365 1653 1489  675 1449  858  357  855  107 1256
## [1626] 1544 1689 1310 1096  837  736  244  351 1118   95 1245 1077 1243
## [1639]  154 1646  622   62  659 1536 1625  553 1083  456  438  359 1569
## [1652] 1259 1448 1202 1263  683  840 1438  278  289  745  805  991  470
## [1665] 1162  821 1078 1362  527  576 1245  885  984  655  625 1441 1634
## [1678]  529  295 1680 1219   17  976  920 1264  382 1210 1094   54 1147
## [1691]  706 1609  601  682  584 1146 1491  103  736 1335  838 1469  100
## [1704]  911  969 1682  770  851  471  591 1294  355 1305 1611  435  337
## [1717] 1617  667 1287  661  143 1673 1559 1035  878 1440 1433 1434
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 498 unacc (0.20891204 0.03993056 0.71180556 0.03935185)  
##      2) persons=4,more 1134 498 unacc (0.31834215 0.06084656 0.56084656 0.05996473)  
##        4) safety=high,med 763 402 acc (0.47313237 0.09043250 0.34731324 0.08912189)  
##          8) buying=low,med 375 191 acc (0.49066667 0.18400000 0.14400000 0.18133333)  
##           16) maint=high,vhigh 184  63 acc (0.65760870 0.00000000 0.25543478 0.08695652)  
##             32) safety=high 93  19 acc (0.79569892 0.00000000 0.03225806 0.17204301)  
##               64) maint=vhigh 48   2 acc (0.95833333 0.00000000 0.04166667 0.00000000)  
##                128) doors=3,4,5more 36   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) doors=2 12   2 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                  258) lug_boot=big,med 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=small 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                    518) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) maint=high 45  17 acc (0.62222222 0.00000000 0.02222222 0.35555556)  
##                130) buying=med 20   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                131) buying=low 25   9 vgood (0.32000000 0.00000000 0.04000000 0.64000000)  
##                  262) lug_boot=small 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    524) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    525) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1050) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1051) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  263) lug_boot=big,med 18   2 vgood (0.11111111 0.00000000 0.00000000 0.88888889)  
##                    526) doors=2 3   1 acc (0.66666667 0.00000000 0.00000000 0.33333333)  
##                     1052) persons=more 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) persons=4 1   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) doors=3,4,5more 15   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) safety=med 91  44 acc (0.51648352 0.00000000 0.48351648 0.00000000)  
##               66) lug_boot=big,med 51   9 acc (0.82352941 0.00000000 0.17647059 0.00000000)  
##                132) doors=4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2,3 26   9 acc (0.65384615 0.00000000 0.34615385 0.00000000)  
##                  266) lug_boot=big 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) lug_boot=med 16   7 unacc (0.43750000 0.00000000 0.56250000 0.00000000)  
##                    534) maint=high 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                     1068) buying=low 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1069) buying=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                       2138) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2139) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    535) maint=vhigh 9   1 unacc (0.11111111 0.00000000 0.88888889 0.00000000)  
##                     1070) persons=more 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1071) persons=4 8   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) lug_boot=small 40   5 unacc (0.12500000 0.00000000 0.87500000 0.00000000)  
##                134) buying=low 13   5 unacc (0.38461538 0.00000000 0.61538462 0.00000000)  
##                  268) maint=high 6   1 acc (0.83333333 0.00000000 0.16666667 0.00000000)  
##                    536) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    537) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  269) maint=vhigh 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 27   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 191 122 good (0.32984293 0.36125654 0.03664921 0.27225131)  
##             34) safety=med 99  47 acc (0.52525253 0.42424242 0.05050505 0.00000000)  
##               68) lug_boot=med,small 67  18 acc (0.73134328 0.19402985 0.07462687 0.00000000)  
##                136) lug_boot=small 39   5 acc (0.87179487 0.00000000 0.12820513 0.00000000)  
##                  272) doors=3,4,5more 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 6   1 unacc (0.16666667 0.00000000 0.83333333 0.00000000)  
##                    546) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) persons=more 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) lug_boot=med 28  13 acc (0.53571429 0.46428571 0.00000000 0.00000000)  
##                  274) doors=2,3 14   1 acc (0.92857143 0.07142857 0.00000000 0.00000000)  
##                    548) doors=2 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    549) doors=3 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                     1098) persons=4 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1099) persons=more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  275) doors=4,5more 14   2 good (0.14285714 0.85714286 0.00000000 0.00000000)  
##                    550) maint=med 3   1 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1100) doors=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1101) doors=5more 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    551) maint=low 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) lug_boot=big 32   3 good (0.09375000 0.90625000 0.00000000 0.00000000)  
##                138) maint=med 11   3 good (0.27272727 0.72727273 0.00000000 0.00000000)  
##                  276) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) buying=low 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) maint=low 21   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 92  40 vgood (0.11956522 0.29347826 0.02173913 0.56521739)  
##               70) lug_boot=med,small 58  31 good (0.18965517 0.46551724 0.03448276 0.31034483)  
##                140) lug_boot=small 23   9 good (0.30434783 0.60869565 0.08695652 0.00000000)  
##                  280) maint=med 10   3 acc (0.70000000 0.20000000 0.10000000 0.00000000)  
##                    560) buying=med 8   1 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                     1120) doors=3,4,5more 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1121) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                       2242) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                       2243) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    561) buying=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  281) maint=low 13   1 good (0.00000000 0.92307692 0.07692308 0.00000000)  
##                    562) doors=3,4,5more 10   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 3   1 good (0.00000000 0.66666667 0.33333333 0.00000000)  
##                     1126) persons=4 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1127) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) lug_boot=med 35  17 vgood (0.11428571 0.37142857 0.00000000 0.51428571)  
##                  282) doors=2,3 21   8 good (0.19047619 0.61904762 0.00000000 0.19047619)  
##                    564) buying=med 6   2 acc (0.66666667 0.33333333 0.00000000 0.00000000)  
##                     1128) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1129) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    565) buying=low 15   4 good (0.00000000 0.73333333 0.00000000 0.26666667)  
##                     1130) doors=2 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1131) doors=3 7   3 vgood (0.00000000 0.42857143 0.00000000 0.57142857)  
##                       2262) persons=4 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2263) persons=more 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  283) doors=4,5more 14   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##               71) lug_boot=big 34   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 388 177 unacc (0.45618557 0.00000000 0.54381443 0.00000000)  
##           18) maint=low,med 193  52 acc (0.73056995 0.00000000 0.26943005 0.00000000)  
##             36) lug_boot=big,med 127  15 acc (0.88188976 0.00000000 0.11811024 0.00000000)  
##               72) lug_boot=big 63   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) lug_boot=med 64  15 acc (0.76562500 0.00000000 0.23437500 0.00000000)  
##                146) doors=4,5more 31   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) doors=2,3 33  15 acc (0.54545455 0.00000000 0.45454545 0.00000000)  
##                  294) safety=high 15   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) safety=med 18   3 unacc (0.16666667 0.00000000 0.83333333 0.00000000)  
##                    590) doors=3 9   3 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1180) persons=more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1181) persons=4 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    591) doors=2 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 66  29 unacc (0.43939394 0.00000000 0.56060606 0.00000000)  
##               74) safety=high 33   4 acc (0.87878788 0.00000000 0.12121212 0.00000000)  
##                148) doors=3,4,5more 27   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 6   2 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                  298) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 33   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 195  36 unacc (0.18461538 0.00000000 0.81538462 0.00000000)  
##             38) buying=high 99  36 unacc (0.36363636 0.00000000 0.63636364 0.00000000)  
##               76) maint=high 50  14 acc (0.72000000 0.00000000 0.28000000 0.00000000)  
##                152) safety=high 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                153) safety=med 25  11 unacc (0.44000000 0.00000000 0.56000000 0.00000000)  
##                  306) lug_boot=big 8   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  307) lug_boot=med,small 17   3 unacc (0.17647059 0.00000000 0.82352941 0.00000000)  
##                    614) lug_boot=med 8   3 unacc (0.37500000 0.00000000 0.62500000 0.00000000)  
##                     1228) doors=4,5more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1229) doors=2,3 5   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    615) lug_boot=small 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 49   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 96   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 371   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 594   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## $mtrees[[25]]
## $bindx
##    [1]  351   72 1288  692 1489 1108  789 1086 1527   95 1233 1663  329
##   [14]  271  760  661  483  155  735   12  760  747 1274  708  153  859
##   [27]  301  543  922 1005 1493  408 1539 1398  294 1450  590  292 1018
##   [40]   22  293 1039 1110 1696 1212  451 1442 1114  178 1585 1641  402
##   [53] 1207 1412 1388 1535  283  825 1082  205  987  592 1354 1296 1510
##   [66]  441  736 1248 1055 1601 1238  408 1627   53  507 1339  273  988
##   [79] 1244  555  437  937 1495  783 1342  602 1428  413  786  957 1230
##   [92] 1496  898 1587  150  426 1598 1225 1381 1503 1410 1385 1654  122
##  [105]  118 1548  657 1067  924   63  161  586  827  636  474 1620  674
##  [118] 1511 1228  442 1712 1379 1648  852  188  987 1557  633 1513 1217
##  [131] 1651 1568 1136  118   70  300 1299  683  904  906  418 1540 1667
##  [144]  950   91  713  205 1649 1399  675  302 1096 1625  535 1720 1142
##  [157] 1166 1084 1284 1411  502  570  644 1726  216  714 1426 1678  977
##  [170]  704  901 1234  193   33  650 1618 1085  327   55 1507  269  280
##  [183]  138  171 1450  475  464 1728  986   69  876  594  372  300   73
##  [196] 1468  512   24  480 1097  427 1206 1672 1599 1539   44 1234 1297
##  [209] 1562  734 1134 1214 1560 1136 1100   27  813  174   18 1053 1148
##  [222] 1538  717  785  763  584 1671  155 1534 1425 1551 1225  186  707
##  [235] 1574 1543  363 1472  355 1159  124  547 1021  591  296   66  858
##  [248] 1464   91  549  752 1140  548 1113 1498    7  609  444   90 1251
##  [261] 1571 1090 1361 1636 1639   48  564  273  736 1206 1475 1689 1467
##  [274] 1284 1161  122  137  617 1343  300 1134  712 1366  356  805 1224
##  [287] 1009  688 1146  467 1441  840 1472 1605  775   57  229  965  408
##  [300] 1101  350  875  288   59  607 1452  490 1552  178  100  345  268
##  [313] 1529 1265  825  866   17 1304  984 1134 1235  880  308 1052  813
##  [326] 1707  662   31  442  439  101 1141 1083  623  442  983  736  968
##  [339] 1161  752 1434 1222  800  408  908  953  200    5  281  265  288
##  [352] 1122  424 1474 1140  198 1604 1207 1564  459  797  863 1231  368
##  [365] 1626  306  436 1125  876  892  103 1127  540  718 1177 1517 1251
##  [378]  863  663  179 1423 1387   69  612 1617 1046   61  286  259  805
##  [391]  631 1499  855   41  350 1554  957 1628 1284 1490  651  430 1543
##  [404]  345 1113  506  808 1579 1651  369 1464 1587   31 1427 1447  287
##  [417]  302  775   40 1610  849 1458 1412  399  533 1102 1646 1089  676
##  [430] 1449  654  884 1559   21  137 1635 1560  671 1704  989 1378  922
##  [443] 1387  781 1019  983 1108 1236  271  771  113  267  218  455  532
##  [456]  291 1170   33  121 1017 1632  441  530  320  188  566 1044  261
##  [469] 1052  926  568 1664  965   87 1164  370   50   79  266 1042 1001
##  [482]  810  577 1498  679 1572 1038 1261 1004  150  156  511  134  510
##  [495] 1244  742   97 1587  558  355  705  619 1108  390 1074 1035 1031
##  [508]  603 1606  645  872  521  208  231  730  430  357 1692 1407  657
##  [521] 1080 1616 1114 1405  915  872  863 1157   54  896 1338 1403 1689
##  [534] 1378  117  450   90  468  222 1427  902  675   75  330  244  738
##  [547]  751  205   84 1032 1436 1398  951  781  446  354 1483   95 1033
##  [560] 1446 1270 1055  919 1664  575 1567 1621  951 1008  709 1211  357
##  [573]   28  402 1598 1114   39 1241 1006 1539 1166 1174  117 1059 1526
##  [586] 1356 1525 1609 1324  757 1320 1010 1107  924 1039 1050 1012 1472
##  [599]  665  156  443 1316  290  719  702 1589  667   72 1415 1721  902
##  [612]  335  253  667  386 1144 1209 1361 1010 1327  451 1047  767  845
##  [625]  797 1659 1669 1297  537  587 1610  699 1181  829  117  458 1088
##  [638] 1636 1440  404 1616  403  406 1066 1042 1565  755   68  605  981
##  [651]  525  795  599  125 1682  137 1357 1682   54  970 1616  960  160
##  [664]  203  222  473 1590   18 1243 1691  458  562  668 1682  100  610
##  [677]  346 1659  525  723 1103 1262 1600  303  557 1357 1011 1237  829
##  [690] 1597 1702  437  640  102  254  784  961  379 1615 1488  791  364
##  [703] 1230  175  967 1010  642 1173  489  449  563  243 1653  357  436
##  [716] 1548 1356  144 1572 1488  998  567 1551  773  592   95 1438  106
##  [729] 1650  829  993 1354 1233  395 1461  357  117  142  278  402  185
##  [742]  562 1724 1046 1585  463 1121  632  823 1290 1159  610 1207 1338
##  [755] 1089  582  126  419  244   19 1329  212  167  552 1518 1547  676
##  [768] 1088   59 1278 1252  916 1514  365  272 1439 1543  155 1117 1079
##  [781]    9 1367  465 1528 1223 1459  981 1305  298  718  639 1269  194
##  [794]  516 1122 1556 1354  808 1310   63 1439  681  681  442  141 1498
##  [807]  587 1464 1545   51  257 1511  357  432 1633 1599 1681  333 1212
##  [820]  580 1639 1573 1116  238 1102  426 1572  618  804  851  425 1203
##  [833] 1060 1689 1350 1531 1398  388  577  920 1489  703  281 1385 1539
##  [846] 1306 1460   66 1206  624 1266 1199 1574  381 1621  519  347  108
##  [859]  543  785 1692  216  457 1093 1494  811 1203 1716  991  168 1562
##  [872] 1614 1503 1179  528  289 1069 1665  281  572  444 1072  242  809
##  [885]  650 1012 1097  362  814 1372  276 1248  850  419 1547  985  814
##  [898]  146 1392  643  420 1535 1594  538 1206  758  350 1069 1090 1553
##  [911] 1132  308   16   42  195  651 1115 1442   65   73  759  511  504
##  [924]  271  786  794 1218  906  650 1545  289  186 1310 1419  315  465
##  [937]  528 1152  670  476 1255  178  770 1426 1094  210 1651 1108  952
##  [950]  243  102 1324  571 1342  957  235  569 1115 1313  304  907  582
##  [963]  774  162 1367 1408 1632 1027  714  156 1632  176  716 1311 1623
##  [976] 1327  114  392  313 1100   55  926  551 1021  441  159 1396 1278
##  [989]  492  990   19  966 1728 1556 1305    3 1615  450  661  685 1431
## [1002]  975  503 1545 1724 1126   26 1280 1691   57  463  227  897 1667
## [1015] 1308  918  833 1043  355 1214 1437 1509 1617 1575 1566  372  872
## [1028] 1108  826  803  276  477   47 1581  578 1628   14 1560  664  301
## [1041] 1161 1190  745 1077 1687 1007 1370 1513 1529    9  122 1671  965
## [1054]  934  259 1686  768  561 1094  440  130 1611 1169  794  742   52
## [1067]  373  327 1628  795  249  194  680 1001 1065  915 1597 1537   61
## [1080] 1431  844   31 1003 1125 1170  672  556 1089   60  232 1149   66
## [1093] 1279  812 1411  752 1241  795 1641  455  743  934 1087  646  956
## [1106] 1429 1709 1132  483  865  221   20  575 1037 1034 1532  903 1655
## [1119]  876  384 1055 1636 1398 1613 1385  805 1105   53 1072 1219 1134
## [1132]   23 1590  724 1632  192 1471 1066 1367  184  137  457  180  647
## [1145]  433 1513  263  101  168 1118  179  930 1612  353 1103  568  711
## [1158] 1528  195  516   31  561   11  214 1220  221  569    5 1700  462
## [1171]  341  832 1584 1534  674 1662  876  729 1328  841  778  434  851
## [1184]   38  155  875  829 1515  974  355  933 1190  144 1397  622 1685
## [1197] 1256 1064 1630  907  187  465 1536 1560   14 1276 1010 1664 1722
## [1210]  311  469  799  685 1703 1164  627  281 1704   86 1515  196   25
## [1223]  916  123 1429  993  215 1331  203  701  748 1126  513  276  636
## [1236]  163 1448 1355  149 1658  721 1373  134 1103  923 1314  512 1237
## [1249]  896  722  821  412 1681   52  959 1083 1608  889 1473 1469  203
## [1262]  857 1527 1063  938 1225  672 1071 1584  450  906   10 1224  823
## [1275] 1500  780  382  762  501  337  864 1254  109  419  660  857  555
## [1288]  365 1246 1576  829 1487 1560 1654  597   33   15 1643 1064  212
## [1301] 1195  291  903 1108  291  829  574 1577  685 1436 1152  624  618
## [1314]  461  259  394  855  378  759  565 1419  640  434  376 1186  196
## [1327] 1454  696  818  499  612  110  375 1500  237  508  754 1615  674
## [1340] 1415 1143 1667  587 1381  391  949   72  546  852 1484  173  307
## [1353]  349 1114  597  487  107 1508 1260   34  943  913  992   92  958
## [1366] 1113  560 1092  301 1191  692   80 1367 1306 1532 1082  412  573
## [1379]  168  534 1464 1201  309 1071   46 1100  203  972  805 1347  535
## [1392] 1219  209 1260  308  985  593  280 1236 1341 1342 1583 1493 1274
## [1405]  610 1224  485  146  951  869   32 1176  422 1173 1180  997  892
## [1418]   18  354  708   16   92 1570  358  144  781  227 1717 1524 1319
## [1431] 1283 1328  632  228  737  104  971   57 1312 1030 1074 1297  743
## [1444] 1203  403  403  182 1502 1121  177 1406 1675 1182  601 1695  841
## [1457] 1560  909 1005 1519  217  927 1210  923 1421 1617 1173 1308  758
## [1470]  292  884  396 1056  529  976  301 1635 1187 1542 1456  738 1680
## [1483] 1536  851 1693 1590  302 1197 1534 1132  371  676  624 1657  527
## [1496]  639  606 1123  144  608 1486  181  933 1381 1041 1038 1248 1149
## [1509]  679  660 1055 1164 1708  540 1111 1502 1359 1400 1627 1097 1122
## [1522] 1062  358 1056 1621  864  602 1405  984 1290  873   83  758 1316
## [1535] 1631 1414 1158  583 1401  784 1538  939 1011  907  609  580  678
## [1548] 1039 1154  471   24  702 1667 1332  650  184  255 1180    1   61
## [1561] 1600  576  873 1025  693 1121  622 1286 1240  145 1414  938    4
## [1574] 1529  525  612 1487  660 1484  412  194  719  664  674  740  270
## [1587]  788  847 1555  716 1317 1086 1243 1475  305 1452 1706 1020 1059
## [1600] 1413 1107  248  187 1000   17 1421  663  436 1575 1397  455 1593
## [1613] 1689  109 1243  762 1453  850  151  957 1380  310   48 1131  516
## [1626]  720  404 1089 1486  973  969 1282  666  350  764  146 1628 1142
## [1639]  656  460   85  106  576  639  845  187  105 1352 1640 1055  874
## [1652]  989 1535 1281  670  506  880 1552 1012  768 1014  424  263 1680
## [1665]   62  760  735   33 1699  806  484   37 1437 1502  798 1474  126
## [1678]  670  223 1471 1556  651  876  521  541  702 1492  509 1309 1117
## [1691]   46  709  644 1534  372   29 1336 1053  777 1205 1684  514 1063
## [1704]  652  565 1423 1268  940  686  894  688   44  967 1326  586 1181
## [1717]  426   87  631 1636    8  484  525 1700  114  174  138 1694
## 
## $btree
## n= 1728 
## 
## node), split, n, loss, yval, (yprob)
##       * denotes terminal node
## 
##    1) root 1728 498 unacc (0.19733796 0.04803241 0.71180556 0.04282407)  
##      2) persons=4,more 1123 498 unacc (0.30365093 0.07390917 0.55654497 0.06589492)  
##        4) safety=high,med 760 419 acc (0.44868421 0.10921053 0.34473684 0.09736842)  
##          8) buying=low,med 382 209 acc (0.45287958 0.21727749 0.13612565 0.19371728)  
##           16) maint=high,vhigh 172  52 acc (0.69767442 0.00000000 0.24418605 0.05813953)  
##             32) lug_boot=big,med 95  14 acc (0.85263158 0.00000000 0.04210526 0.10526316)  
##               64) buying=med 40   1 acc (0.97500000 0.00000000 0.02500000 0.00000000)  
##                128) doors=3,4,5more 33   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                129) doors=2 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                  258) lug_boot=big 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  259) lug_boot=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    518) safety=high 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    519) safety=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               65) buying=low 55  13 acc (0.76363636 0.00000000 0.05454545 0.18181818)  
##                130) safety=med 31   3 acc (0.90322581 0.00000000 0.09677419 0.00000000)  
##                  260) doors=3,4,5more 23   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  261) doors=2 8   3 acc (0.62500000 0.00000000 0.37500000 0.00000000)  
##                    522) maint=high 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    523) maint=vhigh 4   1 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                     1046) lug_boot=big 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1047) lug_boot=med 3   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                131) safety=high 24  10 acc (0.58333333 0.00000000 0.00000000 0.41666667)  
##                  262) maint=vhigh 10   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  263) maint=high 14   4 vgood (0.28571429 0.00000000 0.00000000 0.71428571)  
##                    526) lug_boot=med 8   4 acc (0.50000000 0.00000000 0.00000000 0.50000000)  
##                     1052) doors=2,3 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1053) doors=4,5more 4   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                    527) lug_boot=big 6   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##             33) lug_boot=small 77  38 acc (0.50649351 0.00000000 0.49350649 0.00000000)  
##               66) safety=high 37   4 acc (0.89189189 0.00000000 0.10810811 0.00000000)  
##                132) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                133) doors=2 13   4 acc (0.69230769 0.00000000 0.30769231 0.00000000)  
##                  266) persons=4 9   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  267) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               67) safety=med 40   6 unacc (0.15000000 0.00000000 0.85000000 0.00000000)  
##                134) buying=low 15   6 unacc (0.40000000 0.00000000 0.60000000 0.00000000)  
##                  268) maint=high 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  269) maint=vhigh 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                135) buying=med 25   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           17) maint=low,med 210 127 good (0.25238095 0.39523810 0.04761905 0.30476190)  
##             34) safety=med 89  45 acc (0.49438202 0.43820225 0.06741573 0.00000000)  
##               68) lug_boot=med,small 58  18 acc (0.68965517 0.20689655 0.10344828 0.00000000)  
##                136) lug_boot=small 29   6 acc (0.79310345 0.00000000 0.20689655 0.00000000)  
##                  272) doors=3,4,5more 21   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  273) doors=2 8   2 unacc (0.25000000 0.00000000 0.75000000 0.00000000)  
##                    546) persons=4 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    547) persons=more 6   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                137) lug_boot=med 29  12 acc (0.58620690 0.41379310 0.00000000 0.00000000)  
##                  274) doors=2 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  275) doors=3,4,5more 18   6 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                    550) persons=4 7   2 acc (0.71428571 0.28571429 0.00000000 0.00000000)  
##                     1100) maint=med 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1101) maint=low 2   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    551) persons=more 11   1 good (0.09090909 0.90909091 0.00000000 0.00000000)  
##                     1102) doors=4 3   1 good (0.33333333 0.66666667 0.00000000 0.00000000)  
##                       2204) buying=med 2   1 acc (0.50000000 0.50000000 0.00000000 0.00000000)  
##                         4408) maint=med 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4409) maint=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2205) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1103) doors=3,5more 8   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##               69) lug_boot=big 31   4 good (0.12903226 0.87096774 0.00000000 0.00000000)  
##                138) buying=med 11   4 good (0.36363636 0.63636364 0.00000000 0.00000000)  
##                  276) maint=med 4   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  277) maint=low 7   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                139) buying=low 20   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##             35) safety=high 121  57 vgood (0.07438017 0.36363636 0.03305785 0.52892562)  
##               70) lug_boot=small 39  10 good (0.15384615 0.74358974 0.10256410 0.00000000)  
##                140) buying=med 14   8 acc (0.42857143 0.42857143 0.14285714 0.00000000)  
##                  280) maint=med 7   1 acc (0.85714286 0.00000000 0.14285714 0.00000000)  
##                    560) doors=4,5more 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    561) doors=2 2   1 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1122) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1123) persons=more 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  281) maint=low 7   1 good (0.00000000 0.85714286 0.14285714 0.00000000)  
##                    562) doors=3,4,5more 6   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    563) doors=2 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                141) buying=low 25   2 good (0.00000000 0.92000000 0.08000000 0.00000000)  
##                  282) doors=3,4,5more 18   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                  283) doors=2 7   2 good (0.00000000 0.71428571 0.28571429 0.00000000)  
##                    566) persons=4 5   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    567) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               71) lug_boot=big,med 82  18 vgood (0.03658537 0.18292683 0.00000000 0.78048780)  
##                142) lug_boot=med 42  18 vgood (0.07142857 0.35714286 0.00000000 0.57142857)  
##                  284) doors=2,3 21   6 good (0.14285714 0.71428571 0.00000000 0.14285714)  
##                    568) doors=2 11   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                    569) doors=3 10   6 good (0.30000000 0.40000000 0.00000000 0.30000000)  
##                     1138) persons=4 7   3 good (0.42857143 0.57142857 0.00000000 0.00000000)  
##                       2276) maint=med 4   1 acc (0.75000000 0.25000000 0.00000000 0.00000000)  
##                         4552) buying=med 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                         4553) buying=low 1   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                       2277) maint=low 3   0 good (0.00000000 1.00000000 0.00000000 0.00000000) *
##                     1139) persons=more 3   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                  285) doors=4,5more 21   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##                143) lug_boot=big 40   0 vgood (0.00000000 0.00000000 0.00000000 1.00000000) *
##          9) buying=high,vhigh 378 168 unacc (0.44444444 0.00000000 0.55555556 0.00000000)  
##           18) maint=low,med 174  42 acc (0.75862069 0.00000000 0.24137931 0.00000000)  
##             36) lug_boot=big,med 111   9 acc (0.91891892 0.00000000 0.08108108 0.00000000)  
##               72) lug_boot=big 61   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##               73) lug_boot=med 50   9 acc (0.82000000 0.00000000 0.18000000 0.00000000)  
##                146) doors=4,5more 28   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                147) doors=2,3 22   9 acc (0.59090909 0.00000000 0.40909091 0.00000000)  
##                  294) safety=high 11   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  295) safety=med 11   2 unacc (0.18181818 0.00000000 0.81818182 0.00000000)  
##                    590) persons=more 4   2 acc (0.50000000 0.00000000 0.50000000 0.00000000)  
##                     1180) doors=3 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1181) doors=2 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                    591) persons=4 7   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             37) lug_boot=small 63  30 unacc (0.47619048 0.00000000 0.52380952 0.00000000)  
##               74) safety=high 34   4 acc (0.88235294 0.00000000 0.11764706 0.00000000)  
##                148) doors=3,4,5more 24   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                149) doors=2 10   4 acc (0.60000000 0.00000000 0.40000000 0.00000000)  
##                  298) persons=4 6   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  299) persons=more 4   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               75) safety=med 29   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##           19) maint=high,vhigh 204  36 unacc (0.17647059 0.00000000 0.82352941 0.00000000)  
##             38) buying=high 95  36 unacc (0.37894737 0.00000000 0.62105263 0.00000000)  
##               76) maint=high 48  12 acc (0.75000000 0.00000000 0.25000000 0.00000000)  
##                152) lug_boot=big,med 33   1 acc (0.96969697 0.00000000 0.03030303 0.00000000)  
##                  304) doors=3,4,5more 25   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                  305) doors=2 8   1 acc (0.87500000 0.00000000 0.12500000 0.00000000)  
##                    610) safety=high 5   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    611) safety=med 3   1 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                     1222) lug_boot=big 2   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1223) lug_boot=med 1   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                153) lug_boot=small 15   4 unacc (0.26666667 0.00000000 0.73333333 0.00000000)  
##                  306) safety=high 6   2 acc (0.66666667 0.00000000 0.33333333 0.00000000)  
##                    612) doors=4,5more 3   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                    613) doors=2 3   1 unacc (0.33333333 0.00000000 0.66666667 0.00000000)  
##                     1226) persons=4 1   0 acc (1.00000000 0.00000000 0.00000000 0.00000000) *
##                     1227) persons=more 2   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##                  307) safety=med 9   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##               77) maint=vhigh 47   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##             39) buying=vhigh 109   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##        5) safety=low 363   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
##      3) persons=2 605   0 unacc (0.00000000 0.00000000 1.00000000 0.00000000) *
## 
## attr(,"class")
##    class 
## "sclass" 
## 
## 
## $OOB
## [1] FALSE
## 
## $comb
## [1] FALSE
## 
## $call
## bagging.data.frame(formula = class ~ buying + maint + doors + 
##     persons + lug_boot + safety, data = car_eval)
## 
## attr(,"class")
## [1] "summary.bagging"

#Predict using the model
car_eval$pred_bagging<-predict(model14,x)

#Accuracy of the model
mtab<-table(car_eval$pred_bagging,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    384    0     0     0
##   good     0   69     0     0
##   unacc    0    0  1210     0
##   vgood    0    0     0    65
## 
## Overall Statistics
##                                      
##                Accuracy : 1          
##                  95% CI : (0.9979, 1)
##     No Information Rate : 0.7002     
##     P-Value [Acc > NIR] : < 2.2e-16  
##                                      
##                   Kappa : 1          
##  Mcnemar's Test P-Value : NA         
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              1.0000     1.00000       1.0000      1.00000
## Specificity              1.0000     1.00000       1.0000      1.00000
## Pos Pred Value           1.0000     1.00000       1.0000      1.00000
## Neg Pred Value           1.0000     1.00000       1.0000      1.00000
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2222     0.03993       0.7002      0.03762
## Detection Prevalence     0.2222     0.03993       0.7002      0.03762
## Balanced Accuracy        1.0000     1.00000       1.0000      1.00000

5)Random Forest

library(randomForest)

#Build the model
model15<-randomForest(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval)

#Summarize the model
summary(model15)

##                 Length Class  Mode     
## call               3   -none- call     
## type               1   -none- character
## predicted       1728   factor numeric  
## err.rate        2500   -none- numeric  
## confusion         20   -none- numeric  
## votes           6912   matrix numeric  
## oob.times       1728   -none- numeric  
## classes            4   -none- character
## importance         6   -none- numeric  
## importanceSD       0   -none- NULL     
## localImportance    0   -none- NULL     
## proximity          0   -none- NULL     
## ntree              1   -none- numeric  
## mtry               1   -none- numeric  
## forest            14   -none- list     
## y               1728   factor numeric  
## test               0   -none- NULL     
## inbag              0   -none- NULL     
## terms              3   terms  call

#Predict using the model
car_eval$pred_randomforest<-predict(model15,x)

#Accuracy of the model
mtab<-table(car_eval$pred_randomforest,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    384    0     2     0
##   good     0   69     0     0
##   unacc    0    0  1208     0
##   vgood    0    0     0    65
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9988          
##                  95% CI : (0.9958, 0.9999)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9975          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              1.0000     1.00000       0.9983      1.00000
## Specificity              0.9985     1.00000       1.0000      1.00000
## Pos Pred Value           0.9948     1.00000       1.0000      1.00000
## Neg Pred Value           1.0000     1.00000       0.9962      1.00000
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2222     0.03993       0.6991      0.03762
## Detection Prevalence     0.2234     0.03993       0.6991      0.03762
## Balanced Accuracy        0.9993     1.00000       0.9992      1.00000

6)Gradient Boosted Machine

library(gbm)

#Build the model
model16<-gbm(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,distribution="multinomial")

#Summarize the model
summary(model16)

##               var    rel.inf
## safety     safety 53.3326631
## persons   persons 44.2822912
## maint       maint  1.7951761
## buying     buying  0.5898697
## doors       doors  0.0000000
## lug_boot lug_boot  0.0000000

#Predict using the model
probability<-predict(model16,x,n.trees=1)
car_eval$pred_gbm<-colnames(probability)[apply(probability,1,which.max)]

#Accuracy of the model
mtab<-table(car_eval$pred_gbm,car_eval$class)
mtab

##        
##          acc good unacc vgood
##   unacc  384   69  1210    65

7)Boosted C5.0

library(C50)

#Build the model
model17<-C5.0(class~buying+maint+doors+persons+lug_boot+safety,data=car_eval,trials=10)

#Summarize the model
summary(model17)

## 
## Call:
## C5.0.formula(formula = class ~ buying + maint + doors + persons +
##  lug_boot + safety, data = car_eval, trials = 10)
## 
## 
## C5.0 [Release 2.07 GPL Edition]      Mon Feb 22 15:52:20 2016
## -------------------------------
## 
## Class specified by attribute `outcome'
## 
## Read 1728 cases (7 attributes) from undefined.data
## 
## -----  Trial 0:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (576)
## persons in {4,more}:
## :...safety = low: unacc (384)
##     safety in {high,med}:
##     :...buying in {high,vhigh}:
##         :...maint = vhigh: unacc (96)
##         :   maint in {high,low,med}:
##         :   :...lug_boot = small:
##         :       :...safety = med: unacc (48)
##         :       :   safety = high:
##         :       :   :...maint = high:
##         :       :       :...buying = high: acc (8/1)
##         :       :       :   buying = vhigh: unacc (8)
##         :       :       maint in {low,med}:
##         :       :       :...doors in {3,4,5more}: acc (24)
##         :       :           doors = 2:
##         :       :           :...persons = 4: acc (4)
##         :       :               persons = more: unacc (4)
##         :       lug_boot in {big,med}:
##         :       :...maint = high:
##         :           :...buying = high: acc (32/3)
##         :           :   buying = vhigh: unacc (32)
##         :           maint in {low,med}:
##         :           :...lug_boot = big: acc (64)
##         :               lug_boot = med:
##         :               :...safety = high: acc (32)
##         :                   safety = med:
##         :                   :...doors = 2: unacc (8)
##         :                       doors in {4,5more}: acc (16)
##         :                       doors = 3:
##         :                       :...persons = 4: unacc (4)
##         :                           persons = more: acc (4)
##         buying in {low,med}:
##         :...maint in {high,vhigh}:
##             :...safety = high:
##             :   :...buying = med: acc (48/2)
##             :   :   buying = low:
##             :   :   :...maint = vhigh: acc (24/1)
##             :   :       maint = high:
##             :   :       :...lug_boot in {big,med}: vgood (16/3)
##             :   :           lug_boot = small: acc (8/1)
##             :   safety = med:
##             :   :...lug_boot = small:
##             :       :...buying = med: unacc (16)
##             :       :   buying = low:
##             :       :   :...maint = high: acc (8/1)
##             :       :       maint = vhigh: unacc (8)
##             :       lug_boot in {big,med}:
##             :       :...lug_boot = big: acc (32)
##             :           lug_boot = med:
##             :           :...doors in {4,5more}: acc (16)
##             :               doors in {2,3}:
##             :               :...buying = med: unacc (8/2)
##             :                   buying = low:
##             :                   :...maint = high: acc (4)
##             :                       maint = vhigh: unacc (4/1)
##             maint in {low,med}:
##             :...safety = high:
##                 :...lug_boot = small:
##                 :   :...buying = low: good (16/2)
##                 :   :   buying = med:
##                 :   :   :...maint = low: good (8/1)
##                 :   :       maint = med: acc (8/1)
##                 :   lug_boot in {big,med}:
##                 :   :...lug_boot = big: vgood (32)
##                 :       lug_boot = med:
##                 :       :...doors = 2: good (8/2)
##                 :           doors in {4,5more}: vgood (16)
##                 :           doors = 3:
##                 :           :...persons = 4: good (4/1)
##                 :               persons = more: vgood (4)
##                 safety = med:
##                 :...lug_boot = small:
##                     :...doors in {3,4,5more}: acc (24)
##                     :   doors = 2:
##                     :   :...persons = 4: acc (4)
##                     :       persons = more: unacc (4)
##                     lug_boot in {big,med}:
##                     :...buying = med:
##                         :...maint = low: good (16/3)
##                         :   maint = med: acc (16)
##                         buying = low:
##                         :...lug_boot = big: good (16)
##                             lug_boot = med:
##                             :...doors = 2: acc (4)
##                                 doors in {4,5more}: good (8)
##                                 doors = 3:
##                                 :...persons = 4: acc (2)
##                                     persons = more: good (2)
## 
## -----  Trial 1:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (434.1)
## persons in {4,more}:
## :...safety = low: unacc (289.4)
##     safety in {high,med}:
##     :...lug_boot = small:
##         :...doors = 2: unacc (218.5/13.6)
##         :   doors in {3,4,5more}:
##         :   :...safety = high: acc (72.4/27.1)
##         :       safety = med:
##         :       :...buying in {high,vhigh}: unacc (36.2)
##         :           buying in {low,med}: acc (36.2/13.6)
##         lug_boot in {big,med}:
##         :...buying in {low,med}:
##             :...safety = high:
##             :   :...maint in {high,med,vhigh}: acc (174.5/31.7)
##             :   :   maint = low: vgood (24.1/4.5)
##             :   safety = med:
##             :   :...maint in {high,vhigh}: acc (99.3/6.8)
##             :       maint in {low,med}:
##             :       :...buying = low: good (24.1/4.5)
##             :           buying = med: acc (75.2/9.8)
##             buying in {high,vhigh}:
##             :...maint in {low,med}: acc (96.5/9)
##                 maint in {high,vhigh}:
##                 :...buying = vhigh: unacc (48.2)
##                     buying = high:
##                     :...maint = vhigh: unacc (24.1)
##                         maint = high:
##                         :...lug_boot = big: acc (12.1)
##                             lug_boot = med: unacc (63.1/9.8)
## 
## -----  Trial 2:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (334.4)
## persons in {4,more}:
## :...safety = low: unacc (223)
##     safety in {high,med}:
##     :...lug_boot = small:
##         :...maint in {high,vhigh}: unacc (249.3/38.1)
##         :   maint in {low,med}:
##         :   :...doors = 2:
##         :       :...persons = 4: acc (36.8/10.9)
##         :       :   persons = more: unacc (61.8)
##         :       doors in {3,4,5more}:
##         :       :...safety = med: acc (27.9/13.9)
##         :           safety = high:
##         :           :...buying in {high,vhigh}: acc (13.9)
##         :               buying in {low,med}: good (55.2/3.5)
##         lug_boot in {big,med}:
##         :...buying in {high,vhigh}:
##             :...maint = vhigh: unacc (37.2)
##             :   maint in {high,low,med}:
##             :   :...safety = high: acc (74.1/9.3)
##             :       safety = med:
##             :       :...doors in {4,5more}: acc (37/4.6)
##             :           doors in {2,3}:
##             :           :...lug_boot = big: acc (13.9/2.3)
##             :               lug_boot = med: unacc (83.1/5.2)
##             buying in {low,med}:
##             :...safety = high:
##                 :...maint = low: good (32.3/15.1)
##                 :   maint in {high,med,vhigh}:
##                 :   :...lug_boot = big:
##                 :       :...maint in {high,med}: vgood (73.6/4.6)
##                 :       :   maint = vhigh: acc (9.3)
##                 :       lug_boot = med:
##                 :       :...doors in {2,3}: acc (106.4/17.2)
##                 :           doors in {4,5more}: vgood (41.5/7)
##                 safety = med:
##                 :...maint in {high,vhigh}:
##                     :...doors = 2: unacc (23/5.8)
##                     :   doors in {3,4,5more}: acc (74.1/8.6)
##                     maint in {low,med}:
##                     :...lug_boot = big: good (36.9/4.6)
##                         lug_boot = med:
##                         :...doors in {2,3}: acc (64.7/4)
##                             doors in {4,5more}: good (18.5/2.3)
## 
## -----  Trial 3:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (259.2)
## persons in {4,more}:
## :...buying in {high,vhigh}:
##     :...maint = vhigh: unacc (86.1)
##     :   maint in {high,low,med}:
##     :   :...safety = low: unacc (64.8)
##     :       safety = high:
##     :       :...maint in {low,med}: acc (50.3/1.8)
##     :       :   maint = high:
##     :       :   :...buying = high: acc (51.3/10.6)
##     :       :       buying = vhigh: unacc (53)
##     :       safety = med:
##     :       :...lug_boot = small: unacc (76.8)
##     :           lug_boot in {big,med}:
##     :           :...doors = 2: unacc (49.3/4.5)
##     :               doors in {3,4,5more}:
##     :               :...maint = high: unacc (52/16.3)
##     :                   maint in {low,med}: acc (36.6/8.9)
##     buying in {low,med}:
##     :...safety = low: unacc (86.4)
##         safety in {high,med}:
##         :...lug_boot = small:
##             :...maint in {high,vhigh}:
##             :   :...persons = 4:
##             :   :   :...safety = high: acc (47.9)
##             :   :   :   safety = med: unacc (33.4/12)
##             :   :   persons = more:
##             :   :   :...doors = 2: unacc (54.4)
##             :   :       doors in {3,4,5more}:
##             :   :       :...safety = high: acc (29.1)
##             :   :           safety = med: unacc (27.3/7.3)
##             :   maint in {low,med}:
##             :   :...safety = med: acc (21.5/1.8)
##             :       safety = high:
##             :       :...doors in {3,4,5more}: good (54.6/14.5)
##             :           doors = 2:
##             :           :...persons = 4: good (16.4/2.2)
##             :               persons = more: unacc (42.5)
##             lug_boot in {big,med}:
##             :...safety = high:
##                 :...maint in {high,vhigh}:
##                 :   :...buying = med: acc (45.9)
##                 :   :   buying = low:
##                 :   :   :...lug_boot = big: vgood (21.4/3.6)
##                 :   :       lug_boot = med: acc (57/13.6)
##                 :   maint in {low,med}:
##                 :   :...lug_boot = big: vgood (74.4)
##                 :       lug_boot = med:
##                 :       :...doors in {4,5more}: vgood (37.2)
##                 :           doors in {2,3}:
##                 :           :...buying = low: good (28/7.1)
##                 :               buying = med: acc (45.7/13.8)
##                 safety = med:
##                 :...maint in {high,vhigh}:
##                     :...lug_boot = big: acc (30.2)
##                     :   lug_boot = med:
##                     :   :...persons = 4: unacc (27.3/6.5)
##                     :       persons = more: acc (45/6.7)
##                     maint in {low,med}:
##                     :...maint = med: acc (45.4/7.8)
##                         maint = low:
##                         :...lug_boot = big: good (21.4)
##                             lug_boot = med:
##                             :...doors in {2,3}: acc (45.7/7.1)
##                                 doors in {4,5more}: good (10.7)
## 
## -----  Trial 4:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (200.4)
## persons in {4,more}:
## :...buying in {high,vhigh}:
##     :...safety = low: unacc (66.8)
##     :   safety in {high,med}:
##     :   :...maint = vhigh: unacc (49.9)
##     :       maint in {high,low,med}:
##     :       :...lug_boot = big:
##     :           :...buying = high: acc (62.8)
##     :           :   buying = vhigh:
##     :           :   :...maint = high: unacc (29.9)
##     :           :       maint in {low,med}: acc (26.5)
##     :           lug_boot in {med,small}:
##     :           :...buying = vhigh: unacc (111.5/19.7)
##     :               buying = high:
##     :               :...doors in {2,3}: unacc (113.6/34.1)
##     :                   doors in {4,5more}: acc (63/16.4)
##     buying in {low,med}:
##     :...maint in {high,vhigh}:
##         :...safety = low: unacc (33.4)
##         :   safety = high:
##         :   :...lug_boot = small:
##         :   :   :...doors = 2: unacc (47.4/14.6)
##         :   :   :   doors in {3,4,5more}: acc (44.9)
##         :   :   lug_boot in {big,med}:
##         :   :   :...maint = vhigh: acc (54)
##         :   :       maint = high:
##         :   :       :...buying = med: acc (23.9)
##         :   :           buying = low:
##         :   :           :...doors in {2,3}: acc (40/15.3)
##         :   :               doors in {4,5more}: vgood (30.8)
##         :   safety = med:
##         :   :...lug_boot = big: acc (23.3)
##         :       lug_boot in {med,small}:
##         :       :...doors = 2: unacc (49.8/16.5)
##         :           doors in {3,4,5more}:
##         :           :...lug_boot = med: acc (76.4/10.9)
##         :               lug_boot = small:
##         :               :...buying = low: acc (47.3/10.3)
##         :                   buying = med: unacc (20.7)
##         maint in {low,med}:
##         :...safety = low: unacc (33.4)
##             safety = high:
##             :...lug_boot in {big,med}:
##             :   :...lug_boot = big: vgood (57.5)
##             :   :   lug_boot = med:
##             :   :   :...doors = 2: good (39.1/16.4)
##             :   :       doors in {3,4,5more}: vgood (77.5/19.5)
##             :   lug_boot = small:
##             :   :...doors = 2: unacc (49.7/16.9)
##             :       doors in {3,4,5more}:
##             :       :...buying = low: good (20.7)
##             :           buying = med: acc (47.3/10.3)
##             safety = med:
##             :...lug_boot = small: unacc (32/15.2)
##                 lug_boot in {big,med}:
##                 :...buying = low: good (77.1/10.3)
##                     buying = med:
##                     :...maint = med: acc (23.9)
##                         maint = low:
##                         :...lug_boot = big: good (13.8)
##                             lug_boot = med: acc (40/15.3)
## 
## -----  Trial 5:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (158.5)
## persons in {4,more}:
## :...buying in {low,med}:
##     :...safety = low: unacc (52.8)
##     :   safety = high:
##     :   :...lug_boot = small:
##     :   :   :...maint = low: good (55.1/13)
##     :   :   :   maint in {high,med,vhigh}:
##     :   :   :   :...persons = 4: acc (72.9/9.8)
##     :   :   :       persons = more:
##     :   :   :       :...doors = 2: unacc (38.9)
##     :   :   :           doors in {3,4,5more}: acc (36.5/4.1)
##     :   :   lug_boot in {big,med}:
##     :   :   :...maint = low: vgood (69.2/23.9)
##     :   :       maint = vhigh: acc (42.7)
##     :   :       maint in {high,med}:
##     :   :       :...buying = low: vgood (103.8/30.9)
##     :   :           buying = med:
##     :   :           :...maint = high: acc (18.9)
##     :   :               maint = med:
##     :   :               :...lug_boot = big: vgood (10.9)
##     :   :                   lug_boot = med: acc (42.9/12.1)
##     :   safety = med:
##     :   :...maint in {high,vhigh}:
##     :       :...lug_boot = big: acc (18.4)
##     :       :   lug_boot in {med,small}:
##     :       :   :...maint = high: acc (103.2/27)
##     :       :       maint = vhigh:
##     :       :       :...lug_boot = small: unacc (31.9)
##     :       :           lug_boot = med:
##     :       :           :...doors = 2: unacc (12.2)
##     :       :               doors in {3,4,5more}: acc (38.7/11.4)
##     :       maint in {low,med}:
##     :       :...lug_boot = small: acc (85.8/13.2)
##     :           lug_boot in {big,med}:
##     :           :...doors = 2: acc (41.5/9.9)
##     :               doors in {3,4,5more}:
##     :               :...persons = more: good (57.5/7.7)
##     :                   persons = 4:
##     :                   :...doors = 3: acc (20.7/4.9)
##     :                       doors in {4,5more}: good (30.5/5.9)
##     buying in {high,vhigh}:
##     :...safety = low: unacc (52.8)
##         safety in {high,med}:
##         :...maint = vhigh: unacc (39.4)
##             maint in {high,low,med}:
##             :...lug_boot = small:
##                 :...safety = med: unacc (74.9)
##                 :   safety = high:
##                 :   :...persons = 4: acc (52.3/4.4)
##                 :       persons = more:
##                 :       :...doors = 2: unacc (24.9)
##                 :           doors in {3,4,5more}: acc (31.2/4.1)
##                 lug_boot in {big,med}:
##                 :...maint = high:
##                     :...buying = high: acc (98.1/19.5)
##                     :   buying = vhigh: unacc (42.5)
##                     maint in {low,med}:
##                     :...safety = high: acc (68.5)
##                         safety = med:
##                         :...lug_boot = big: acc (33.1)
##                             lug_boot = med:
##                             :...doors in {2,3}: unacc (45.4/15.7)
##                                 doors in {4,5more}: acc (21.4)
## 
## -----  Trial 6:  -----
## 
## Decision tree:
## 
## buying in {high,vhigh}:
## :...persons = 2: unacc (62.3)
## :   persons in {4,more}:
## :   :...safety = low: unacc (41.5)
## :       safety in {high,med}:
## :       :...maint = vhigh: unacc (31)
## :           maint in {low,med}:
## :           :...lug_boot in {big,med}: acc (152.5/23.4)
## :           :   lug_boot = small:
## :           :   :...safety = high: acc (54.1/10.4)
## :           :       safety = med: unacc (48.8)
## :           maint = high:
## :           :...buying = vhigh: unacc (73.2)
## :               buying = high:
## :               :...lug_boot = big: acc (22.6)
## :                   lug_boot in {med,small}:
## :                   :...safety = high: acc (40.3/8.9)
## :                       safety = med: unacc (63.5/23.1)
## buying in {low,med}:
## :...maint in {high,vhigh}:
##     :...safety = high:
##     :   :...persons = 2: unacc (10.4)
##     :   :   persons = 4: acc (92.9/15.5)
##     :   :   persons = more:
##     :   :   :...lug_boot = small: unacc (34.4/14)
##     :   :       lug_boot in {big,med}:
##     :   :       :...maint = high: vgood (41.8/18.1)
##     :   :           maint = vhigh: acc (16.8)
##     :   safety in {low,med}:
##     :   :...safety = low: unacc (31.1)
##     :       safety = med:
##     :       :...buying = low:
##     :           :...maint = high: acc (66.1/13.3)
##     :           :   maint = vhigh: unacc (49.8/14.4)
##     :           buying = med:
##     :           :...lug_boot = small: unacc (50.9)
##     :               lug_boot in {big,med}:
##     :               :...doors in {2,3}: unacc (56.5/15.7)
##     :                   doors in {4,5more}: acc (14.7/1.7)
##     maint in {low,med}:
##     :...safety = low: unacc (31.1)
##         safety = high:
##         :...lug_boot = big: vgood (39.2/3.5)
##         :   lug_boot = small:
##         :   :...buying = low: good (71.7/17.5)
##         :   :   buying = med:
##         :   :   :...maint = low: good (33.8/11.6)
##         :   :       maint = med: acc (35.2/6)
##         :   lug_boot = med:
##         :   :...doors in {4,5more}: vgood (37.6/1.7)
##         :       doors in {2,3}:
##         :       :...persons = 2: unacc (1.7)
##         :           persons = 4: good (67.7/16.1)
##         :           persons = more:
##         :           :...doors = 2: good (29.6/8.1)
##         :               doors = 3: vgood (23.8)
##         safety = med:
##         :...lug_boot = small:
##             :...doors = 2: unacc (42.8/11.8)
##             :   doors in {3,4,5more}: acc (47.8/2.6)
##             lug_boot in {big,med}:
##             :...persons = 2: unacc (6.9)
##                 persons in {4,more}:
##                 :...buying = low: good (86.8/17.8)
##                     buying = med:
##                     :...maint = low: good (57.4/15.3)
##                         maint = med: acc (59.7)
## 
## -----  Trial 7:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (231.9)
## persons in {4,more}:
## :...buying in {high,vhigh}:
##     :...safety = low: unacc (33.1)
##     :   safety in {high,med}:
##     :   :...maint = vhigh: unacc (24.7)
##     :       maint in {high,low,med}:
##     :       :...lug_boot = small:
##     :           :...safety = med: unacc (46.9)
##     :           :   safety = high:
##     :           :   :...maint = high: unacc (53.2/12.2)
##     :           :       maint in {low,med}:
##     :           :       :...doors = 2: unacc (27/9.4)
##     :           :           doors in {3,4,5more}: acc (25.4)
##     :           lug_boot in {big,med}:
##     :           :...persons = more: acc (134.1/33.3)
##     :               persons = 4:
##     :               :...doors in {4,5more}: acc (40.7/7.4)
##     :                   doors in {2,3}:
##     :                   :...safety = high: acc (22.1/3.7)
##     :                       safety = med:
##     :                       :...lug_boot = big: acc (15/1.9)
##     :                           lug_boot = med: unacc (50.9)
##     buying in {low,med}:
##     :...maint in {high,vhigh}:
##         :...safety in {low,med}:
##         :   :...safety = low: unacc (16.5)
##         :   :   safety = med:
##         :   :   :...lug_boot = big: acc (42.2)
##         :   :       lug_boot in {med,small}:
##         :   :       :...buying = med: unacc (93/22.8)
##         :   :           buying = low:
##         :   :           :...maint = high: acc (51.7/12.5)
##         :   :               maint = vhigh: unacc (45.9/19.7)
##         :   safety = high:
##         :   :...lug_boot = small: acc (77.2/16.2)
##         :       lug_boot in {big,med}:
##         :       :...buying = med: acc (33.5)
##         :           buying = low:
##         :           :...maint = vhigh: acc (21)
##         :               maint = high:
##         :               :...doors in {4,5more}: vgood (24.4)
##         :                   doors in {2,3}:
##         :                   :...lug_boot = big: vgood (14.2)
##         :                       lug_boot = med: acc (36.1/6.6)
##         maint in {low,med}:
##         :...safety = low: unacc (16.5)
##             safety = med:
##             :...lug_boot = small:
##             :   :...persons = 4: acc (37)
##             :   :   persons = more: unacc (41.9/18)
##             :   lug_boot in {big,med}:
##             :   :...lug_boot = big:
##             :       :...buying = low: good (39.9)
##             :       :   buying = med: acc (42.9/17.5)
##             :       lug_boot = med:
##             :       :...doors = 2: acc (33.2)
##             :           doors in {3,4,5more}:
##             :           :...persons = 4: acc (34.8/9.2)
##             :               persons = more: good (34.5/12.6)
##             safety = high:
##             :...lug_boot = small:
##                 :...doors = 2:
##                 :   :...persons = 4: good (20/5)
##                 :   :   persons = more: unacc (38.8)
##                 :   doors in {3,4,5more}:
##                 :   :...buying = low: good (31.7)
##                 :       buying = med: acc (32.4/14.2)
##                 lug_boot in {big,med}:
##                 :...doors in {4,5more}: vgood (42.8)
##                     doors in {2,3}:
##                     :...lug_boot = big: vgood (14.2)
##                         lug_boot = med:
##                         :...maint = low: good (45.2/6.1)
##                             maint = med:
##                             :...buying = low: good (23.3/4.2)
##                                 buying = med: acc (38.2/8.7)
## 
## -----  Trial 8:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (183.3)
## persons in {4,more}:
## :...buying in {low,med}:
##     :...maint in {high,vhigh}:
##     :   :...lug_boot = small:
##     :   :   :...safety in {low,med}: unacc (81.8/19.7)
##     :   :   :   safety = high:
##     :   :   :   :...doors = 2: unacc (39.2/11.3)
##     :   :   :       doors in {3,4,5more}: acc (36.9)
##     :   :   lug_boot in {big,med}:
##     :   :   :...safety = low: unacc (8.7)
##     :   :       safety = high:
##     :   :       :...buying = med: acc (26.5)
##     :   :       :   buying = low:
##     :   :       :   :...maint = high: vgood (63.3/23.3)
##     :   :       :       maint = vhigh: acc (16.6)
##     :   :       safety = med:
##     :   :       :...doors in {4,5more}: acc (68.3)
##     :   :           doors in {2,3}:
##     :   :           :...lug_boot = big: acc (25.3)
##     :   :               lug_boot = med:
##     :   :               :...persons = 4: unacc (29.2/5.7)
##     :   :                   persons = more: acc (41.8/10.3)
##     :   maint in {low,med}:
##     :   :...safety = low: unacc (13.1)
##     :       safety = high:
##     :       :...lug_boot = small:
##     :       :   :...doors in {3,4,5more}: good (71.1/14.5)
##     :       :   :   doors = 2:
##     :       :   :   :...persons = 4: good (19.8/7.9)
##     :       :   :       persons = more: unacc (30.7)
##     :       :   lug_boot in {big,med}:
##     :       :   :...doors in {4,5more}: vgood (33.8)
##     :       :       doors in {2,3}:
##     :       :       :...maint = low: good (48.7/17.8)
##     :       :           maint = med:
##     :       :           :...buying = low: good (24.9/9.8)
##     :       :               buying = med: acc (37.7/14.3)
##     :       safety = med:
##     :       :...lug_boot = small: acc (101.1/18.9)
##     :           lug_boot in {big,med}:
##     :           :...lug_boot = big: good (92.4/20.1)
##     :               lug_boot = med:
##     :               :...doors = 2: acc (26.2)
##     :                   doors in {3,4,5more}:
##     :                   :...maint = low: good (37.5/9.2)
##     :                       maint = med: acc (48/15.7)
##     buying in {high,vhigh}:
##     :...safety = low: unacc (26.1)
##         safety in {high,med}:
##         :...buying = vhigh:
##             :...maint in {high,vhigh}: unacc (148.7)
##             :   maint in {low,med}:
##             :   :...safety = high: acc (52.8/7)
##             :       safety = med:
##             :       :...lug_boot = big: acc (8.2)
##             :           lug_boot in {med,small}: unacc (55/19.7)
##             buying = high:
##             :...lug_boot = big: acc (26.7/2.2)
##                 lug_boot in {med,small}:
##                 :...safety = high: acc (90.5/20.8)
##                     safety = med:
##                     :...doors = 2: unacc (36.8)
##                         doors in {3,4,5more}:
##                         :...lug_boot = small: unacc (24.3)
##                             lug_boot = med:
##                             :...persons = 4: unacc (25.1/9.3)
##                                 persons = more: acc (27.8/0.4)
## 
## -----  Trial 9:  -----
## 
## Decision tree:
## 
## persons = 2: unacc (146.8)
## persons in {4,more}:
## :...buying in {high,vhigh}:
##     :...safety = low: unacc (20.9)
##     :   safety in {high,med}:
##     :   :...maint = vhigh: unacc (106.9)
##     :       maint = high:
##     :       :...buying = vhigh: unacc (111.3)
##     :       :   buying = high:
##     :       :   :...doors = 2: unacc (36.9/11)
##     :       :       doors in {3,4,5more}: acc (71.2/9.4)
##     :       maint in {low,med}:
##     :       :...lug_boot = big: acc (16.6)
##     :           lug_boot = med:
##     :           :...safety = high: acc (23.6)
##     :           :   safety = med:
##     :           :   :...doors = 2: unacc (25.8)
##     :           :       doors in {3,4,5more}: acc (78.9/13.9)
##     :           lug_boot = small:
##     :           :...safety = med: unacc (24.6)
##     :               safety = high:
##     :               :...persons = 4: acc (24.9)
##     :                   persons = more: unacc (32.3/8)
##     buying in {low,med}:
##     :...maint in {low,med}:
##         :...safety = low: unacc (10.5)
##         :   safety = high:
##         :   :...lug_boot in {big,med}:
##         :   :   :...lug_boot = big: vgood (61.3)
##         :   :   :   lug_boot = med:
##         :   :   :   :...doors = 2: good (34.2/12.5)
##         :   :   :       doors in {3,4,5more}: vgood (66.4/21.4)
##         :   :   lug_boot = small:
##         :   :   :...doors = 2: unacc (44.6/20.1)
##         :   :       doors in {3,4,5more}:
##         :   :       :...maint = low: good (28.6)
##         :   :           maint = med: acc (46.8/16.8)
##         :   safety = med:
##         :   :...lug_boot = small:
##         :       :...doors = 2: unacc (41.4/12.1)
##         :       :   doors in {3,4,5more}: acc (53.8)
##         :       lug_boot in {big,med}:
##         :       :...buying = low: good (82.4/21.4)
##         :           buying = med:
##         :           :...maint = low: good (65.1/16.8)
##         :               maint = med: acc (63.9)
##         maint in {high,vhigh}:
##         :...safety = low: unacc (10.5)
##             safety = high:
##             :...lug_boot = small: acc (73.5/22.3)
##             :   lug_boot in {big,med}:
##             :   :...buying = med: acc (21.2)
##             :       buying = low:
##             :       :...maint = vhigh: acc (13.3)
##             :           maint = high:
##             :           :...lug_boot = big: vgood (13.7)
##             :               lug_boot = med: acc (42/10.7)
##             safety = med:
##             :...lug_boot = big: acc (26.7)
##                 lug_boot in {med,small}:
##                 :...doors = 2:
##                     :...persons = 4: acc (20.8/6.4)
##                     :   persons = more: unacc (34.4/1.6)
##                     doors in {3,4,5more}:
##                     :...lug_boot = med: acc (91.1/15)
##                         lug_boot = small:
##                         :...buying = low: acc (38.9/9)
##                             buying = med: unacc (20.1)
## 
## 
## Evaluation on training data (1728 cases):
## 
## Trial        Decision Tree   
## -----      ----------------  
##    Size      Errors  
## 
##    0     47   25( 1.4%)
##    1     16  173(10.0%)
##    2     23  192(11.1%)
##    3     34   96( 5.6%)
##    4     33  152( 8.8%)
##    5     34   77( 4.5%)
##    6     37  165( 9.5%)
##    7     40  107( 6.2%)
##    8     36  121( 7.0%)
##    9     37   84( 4.9%)
## boost              5( 0.3%)   <<
## 
## 
##     (a)   (b)   (c)   (d)    <-classified as
##    ----  ----  ----  ----
##     384                      (a): class acc
##            69                (b): class good
##       3        1207          (c): class unacc
##       2                63    (d): class vgood
## 
## 
##  Attribute usage:
## 
##  100.00% buying
##  100.00% persons
##   83.33% maint
##   83.33% safety
##   56.94% lug_boot
##   40.74% doors
## 
## 
## Time: 0.1 secs

#Predict using the model
car_eval$pred_c50<-predict(model17,x)

#Accuracy of the model
mtab<-table(car_eval$pred_c50,car_eval$class)
confusionMatrix(mtab)

## Confusion Matrix and Statistics
## 
##        
##          acc good unacc vgood
##   acc    383    0     3     2
##   good     0   69     0     0
##   unacc    1    0  1207     0
##   vgood    0    0     0    63
## 
## Overall Statistics
##                                           
##                Accuracy : 0.9965          
##                  95% CI : (0.9925, 0.9987)
##     No Information Rate : 0.7002          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.9924          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: acc Class: good Class: unacc Class: vgood
## Sensitivity              0.9974     1.00000       0.9975      0.96923
## Specificity              0.9963     1.00000       0.9981      1.00000
## Pos Pred Value           0.9871     1.00000       0.9992      1.00000
## Neg Pred Value           0.9993     1.00000       0.9942      0.99880
## Prevalence               0.2222     0.03993       0.7002      0.03762
## Detection Rate           0.2216     0.03993       0.6985      0.03646
## Detection Prevalence     0.2245     0.03993       0.6991      0.03646
## Balanced Accuracy        0.9968     1.00000       0.9978      0.98462