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