Car Data Set (UCI)
Number of features = 6
Total number of instances = 1728
Number of classes: 4
probability of class 0 in the whole set: 0.700231
probability of class 1 in the whole set: 0.222222
probability of class 2 in the whole set: 0.0376157
probability of class 3 in the whole set: 0.0399306
feature 0, with number of values = 4
feature 1, with number of values = 4
feature 2, with number of values = 4
feature 3, with number of values = 3
feature 4, with number of values = 3
feature 5, with number of values = 3
Naive Bayes trained on the whole data set:
0/1 loss if no feature was used (error of random):0.299769
feature: 0, with gini loss: 0.443979, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.297364
value: 1, prob: 0.26771
value: 2, prob: 0.221582
value: 3, prob: 0.213344
class: 1
value: 0, prob: 0.188144
value: 1, prob: 0.280928
value: 2, prob: 0.298969
value: 3, prob: 0.231959
class: 2
value: 0, prob: 0.0144928
value: 1, prob: 0.0144928
value: 2, prob: 0.391304
value: 3, prob: 0.57971
class: 3
value: 0, prob: 0.0136986
value: 1, prob: 0.0136986
value: 2, prob: 0.328767
value: 3, prob: 0.643836
feature: 1, with gini loss: 0.446268, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.297364
value: 1, prob: 0.259473
value: 2, prob: 0.221582
value: 3, prob: 0.221582
class: 1
value: 0, prob: 0.188144
value: 1, prob: 0.273196
value: 2, prob: 0.298969
value: 3, prob: 0.239691
class: 2
value: 0, prob: 0.0144928
value: 1, prob: 0.202899
value: 2, prob: 0.391304
value: 3, prob: 0.391304
class: 3
value: 0, prob: 0.0136986
value: 1, prob: 0.0136986
value: 2, prob: 0.328767
value: 3, prob: 0.643836
feature: 2, with gini loss: 0.455785, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.269357
value: 1, prob: 0.247941
value: 2, prob: 0.241351
value: 3, prob: 0.241351
class: 1
value: 0, prob: 0.21134
value: 1, prob: 0.257732
value: 2, prob: 0.265464
value: 3, prob: 0.265464
class: 2
value: 0, prob: 0.15942
value: 1, prob: 0.231884
value: 2, prob: 0.304348
value: 3, prob: 0.304348
class: 3
value: 0, prob: 0.219178
value: 1, prob: 0.260274
value: 2, prob: 0.260274
value: 3, prob: 0.260274
feature: 3, with gini loss: 0.387571, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.47568
value: 1, prob: 0.258038
value: 2, prob: 0.266282
class: 1
value: 0, prob: 0.00258398
value: 1, prob: 0.514212
value: 2, prob: 0.483204
class: 2
value: 0, prob: 0.0147059
value: 1, prob: 0.455882
value: 2, prob: 0.529412
class: 3
value: 0, prob: 0.0138889
value: 1, prob: 0.513889
value: 2, prob: 0.472222
feature: 4, with gini loss: 0.45225, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.371805
value: 1, prob: 0.32399
value: 2, prob: 0.304204
class: 1
value: 0, prob: 0.273902
value: 1, prob: 0.351421
value: 2, prob: 0.374677
class: 2
value: 0, prob: 0.0147059
value: 1, prob: 0.382353
value: 2, prob: 0.602941
class: 3
value: 0, prob: 0.305556
value: 1, prob: 0.347222
value: 2, prob: 0.347222
feature: 5, with gini loss: 0.382318, with 0/1 loss: 0.299769 (when used alone for prediction)
class: 0
value: 0, prob: 0.47568
value: 1, prob: 0.295136
value: 2, prob: 0.229184
class: 1
value: 0, prob: 0.00258398
value: 1, prob: 0.4677
value: 2, prob: 0.529716
class: 2
value: 0, prob: 0.0147059
value: 1, prob: 0.0147059
value: 2, prob: 0.970588
class: 3
value: 0, prob: 0.0138889
value: 1, prob: 0.555556
value: 2, prob: 0.430556