File stem ** -a : Anneal rate = 0.99500 ** -f : Train file: train.data ** -v : Verbose flag Decision for 243 instances Number of encoded vars + threshold = 7 Accuracy 0.7243 based on 6 variables Accuracy 0.6502 based on 5 variables Accuracy 0.6708 based on 4 variables Accuracy 0.6831 based on 3 variables Accuracy 0.6708 based on 2 variables Accuracy 0.6214 based on 1 variables LM: 6 variables, 243 instances, accuracy = 0.724 Decision for 147 instances Number of encoded vars + threshold = 7 Accuracy 0.5578 based on 6 variables Accuracy 0.5850 based on 5 variables Accuracy 0.7075 based on 4 variables Accuracy 0.7483 based on 3 variables Accuracy 0.7279 based on 2 variables Accuracy 0.7279 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 5 variables, 147 instances, accuracy = 0.585 Decision for 46 instances Number of encoded vars + threshold = 7 Accuracy 0.6739 based on 6 variables Accuracy 0.8478 based on 5 variables Accuracy 0.8043 based on 4 variables Accuracy 0.8043 based on 3 variables Accuracy 0.8043 based on 2 variables Accuracy 0.7609 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 46 instances, accuracy = 0.674 Decision for 34 instances Number of encoded vars + threshold = 7 Accuracy 0.7353 based on 6 variables Accuracy 0.7941 based on 5 variables Accuracy 0.5882 based on 4 variables LM: 6 variables, 34 instances, accuracy = 0.735 Decision for 8 instances Number of encoded vars + threshold = 7 Accuracy 0.8750 based on 6 variables Accuracy 0.8750 based on 5 variables Accuracy 0.8750 based on 4 variables Accuracy 0.8750 based on 3 variables Accuracy 0.8750 based on 2 variables Accuracy 0.7500 based on 1 variables LM: 2 variables, 8 instances, accuracy = 0.875 Decision for 6 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 6 instances, accuracy = 1.000 Leaf 2 for 5 instances Leaf 1 for 1 instances Leaf 1 for 2 instances Decision for 26 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy -0.0000 based on 5 variables Accuracy -0.0000 based on 4 variables Accuracy -0.0000 based on 3 variables Accuracy -0.0000 based on 2 variables Accuracy -0.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 26 instances, accuracy = -0.000 Unable to discriminate Converting node to leaf leafifying tree 80600b0 of 2 classes with class 2 Conversion done Decision for 12 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 0.9167 based on 2 variables Accuracy 0.9167 based on 1 variables Accuracy 0.7500 based on 0 variables LM: 3 variables, 12 instances, accuracy = 1.000 Decision for 5 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 5 instances, accuracy = 1.000 Leaf 2 for 1 instances Leaf 1 for 4 instances Leaf 2 for 7 instances Decision for 101 instances Number of encoded vars + threshold = 7 Accuracy 0.6832 based on 6 variables Accuracy 0.6832 based on 5 variables Accuracy 0.7327 based on 4 variables Accuracy 0.7525 based on 3 variables Accuracy 0.7228 based on 2 variables Accuracy 0.7327 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 5 variables, 101 instances, accuracy = 0.683 Decision for 77 instances Number of encoded vars + threshold = 7 Accuracy 0.7013 based on 6 variables Accuracy 0.6623 based on 5 variables Accuracy 0.7403 based on 4 variables Accuracy 0.7403 based on 3 variables Accuracy 0.7143 based on 2 variables Accuracy 0.7273 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 77 instances, accuracy = 0.727 Decision for 28 instances Number of encoded vars + threshold = 7 Accuracy 0.8571 based on 6 variables Accuracy 0.8929 based on 5 variables Accuracy 0.8929 based on 4 variables Accuracy 0.8571 based on 3 variables Accuracy 0.7857 based on 2 variables LM: 4 variables, 28 instances, accuracy = 0.893 Decision for 17 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 0.9412 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 2 variables, 17 instances, accuracy = 1.000 Leaf 2 for 15 instances Leaf 1 for 2 instances Decision for 11 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 11 instances, accuracy = 1.000 Leaf 1 for 10 instances Leaf 2 for 1 instances Decision for 49 instances Number of encoded vars + threshold = 7 Accuracy 0.9184 based on 6 variables Accuracy 0.9184 based on 5 variables Accuracy 0.9184 based on 4 variables Accuracy 0.9184 based on 3 variables Accuracy 0.9184 based on 2 variables Accuracy -0.0000 based on 1 variables LM: 2 variables, 49 instances, accuracy = 0.918 Decision for 48 instances Number of encoded vars + threshold = 7 Accuracy 0.8750 based on 6 variables Accuracy 0.9583 based on 5 variables Accuracy 0.9583 based on 4 variables Accuracy 0.9167 based on 3 variables Accuracy 0.8750 based on 2 variables Accuracy 0.9375 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 3 variables, 48 instances, accuracy = 0.917 Decision for 8 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 0.8750 based on 2 variables LM: 3 variables, 8 instances, accuracy = 1.000 Leaf 2 for 4 instances Leaf 1 for 4 instances Leaf 2 for 40 instances Leaf 1 for 1 instances Decision for 24 instances Number of encoded vars + threshold = 7 Accuracy 0.9167 based on 6 variables Accuracy 0.9167 based on 5 variables Accuracy 0.9167 based on 4 variables Accuracy 0.9167 based on 3 variables Accuracy 0.9167 based on 2 variables Accuracy 0.8750 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 2 variables, 24 instances, accuracy = 0.917 Leaf 1 for 7 instances Decision for 17 instances Number of encoded vars + threshold = 7 Accuracy 0.9412 based on 6 variables Accuracy 0.9412 based on 5 variables Accuracy 0.9412 based on 4 variables Accuracy 0.9412 based on 3 variables Accuracy 0.8824 based on 2 variables Accuracy -0.0000 based on 1 variables LM: 2 variables, 17 instances, accuracy = 0.882 Decision for 15 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy -0.0000 based on 5 variables Accuracy -0.0000 based on 4 variables Accuracy -0.0000 based on 3 variables Accuracy -0.0000 based on 2 variables Accuracy -0.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 15 instances, accuracy = -0.000 Unable to discriminate Converting node to leaf leafifying tree 8069658 of 2 classes with class 2 Conversion done Decision for 2 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy 1.0000 based on 0 variables LM: 1 variables, 2 instances, accuracy = 1.000 Leaf 2 for 1 instances Leaf 1 for 1 instances Decision for 96 instances Number of encoded vars + threshold = 7 Accuracy 0.6146 based on 6 variables Accuracy 0.5729 based on 5 variables Accuracy 0.6354 based on 4 variables Accuracy 0.5938 based on 3 variables Accuracy 0.6354 based on 2 variables Accuracy 0.6458 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 96 instances, accuracy = 0.615 Decision for 53 instances Number of encoded vars + threshold = 7 Accuracy 0.8302 based on 6 variables Accuracy 0.7170 based on 5 variables LM: 6 variables, 53 instances, accuracy = 0.830 Decision for 15 instances Number of encoded vars + threshold = 7 Accuracy 0.8667 based on 6 variables Accuracy 0.8667 based on 5 variables Accuracy 0.8667 based on 4 variables Accuracy 0.8667 based on 3 variables Accuracy 0.8000 based on 2 variables Accuracy 0.5333 based on 1 variables LM: 3 variables, 15 instances, accuracy = 0.867 Decision for 6 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 6 instances, accuracy = 1.000 Leaf 1 for 5 instances Leaf 2 for 1 instances Decision for 9 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy -0.0000 based on 5 variables Accuracy -0.0000 based on 4 variables Accuracy -0.0000 based on 3 variables Accuracy -0.0000 based on 2 variables Accuracy -0.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 9 instances, accuracy = -0.000 Unable to discriminate Converting node to leaf leafifying tree 806d758 of 2 classes with class 2 Conversion done Decision for 38 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy 0.8947 based on 5 variables Accuracy 0.9474 based on 4 variables Accuracy 0.9474 based on 3 variables Accuracy 0.9474 based on 2 variables Accuracy -0.0000 based on 1 variables LM: 5 variables, 38 instances, accuracy = 0.895 Decision for 27 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 0.9630 based on 4 variables Accuracy 0.9630 based on 3 variables Accuracy -0.0000 based on 2 variables LM: 5 variables, 27 instances, accuracy = 1.000 Leaf 2 for 2 instances Leaf 1 for 25 instances Decision for 11 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy -0.0000 based on 2 variables LM: 3 variables, 11 instances, accuracy = 1.000 Leaf 2 for 1 instances Leaf 1 for 10 instances Decision for 43 instances Number of encoded vars + threshold = 7 Accuracy 0.7907 based on 6 variables Accuracy 0.7907 based on 5 variables Accuracy 0.7907 based on 4 variables Accuracy 0.7209 based on 3 variables Accuracy 0.6744 based on 2 variables LM: 4 variables, 43 instances, accuracy = 0.791 Decision for 13 instances Number of encoded vars + threshold = 7 Accuracy 0.9231 based on 6 variables Accuracy 0.9231 based on 5 variables Accuracy 0.9231 based on 4 variables Accuracy 0.9231 based on 3 variables Accuracy 0.9231 based on 2 variables Accuracy 0.9231 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 13 instances, accuracy = 0.923 Decision for 12 instances Number of encoded vars + threshold = 7 Accuracy -0.0000 based on 6 variables Accuracy -0.0000 based on 5 variables Accuracy -0.0000 based on 4 variables Accuracy -0.0000 based on 3 variables Accuracy -0.0000 based on 2 variables Accuracy -0.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 6 variables, 12 instances, accuracy = -0.000 Unable to discriminate Converting node to leaf leafifying tree 8071958 of 2 classes with class 2 Conversion done Leaf 1 for 1 instances Decision for 30 instances Number of encoded vars + threshold = 7 Accuracy 0.7667 based on 6 variables Accuracy 0.7333 based on 5 variables Accuracy 0.8000 based on 4 variables Accuracy 0.8333 based on 3 variables Accuracy 0.8000 based on 2 variables Accuracy 0.7333 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 30 instances, accuracy = 0.733 Decision for 19 instances Number of encoded vars + threshold = 7 Accuracy 0.7895 based on 6 variables Accuracy -0.0000 based on 5 variables LM: 6 variables, 19 instances, accuracy = 0.789 Decision for 17 instances Number of encoded vars + threshold = 7 Accuracy 0.9412 based on 6 variables Accuracy 0.9412 based on 5 variables Accuracy 0.9412 based on 4 variables Accuracy 0.9412 based on 3 variables Accuracy 0.9412 based on 2 variables Accuracy 0.9412 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 17 instances, accuracy = 0.941 Decision for 15 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy -0.0000 based on 3 variables LM: 4 variables, 15 instances, accuracy = 1.000 Leaf 1 for 14 instances Leaf 2 for 1 instances Leaf 2 for 2 instances Decision for 2 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy 1.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy 1.0000 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 1 variables, 2 instances, accuracy = 1.000 Leaf 2 for 1 instances Leaf 1 for 1 instances Decision for 11 instances Number of encoded vars + threshold = 7 Accuracy 0.9091 based on 6 variables Accuracy 0.9091 based on 5 variables Accuracy 0.9091 based on 4 variables Accuracy 0.9091 based on 3 variables Accuracy 0.9091 based on 2 variables Accuracy 0.8182 based on 1 variables Accuracy -0.0000 based on 0 variables LM: 2 variables, 11 instances, accuracy = 0.909 Leaf 2 for 2 instances Decision for 9 instances Number of encoded vars + threshold = 7 Accuracy 1.0000 based on 6 variables Accuracy -0.0000 based on 5 variables Accuracy 1.0000 based on 4 variables Accuracy 1.0000 based on 3 variables Accuracy 1.0000 based on 2 variables Accuracy -0.0000 based on 1 variables LM: 2 variables, 9 instances, accuracy = 1.000 Leaf 1 for 8 instances Leaf 2 for 1 instances Classes: 2 1 Variables: drinks gammagt sgot sgpt alkphos mvv LM [243,0.724]: 2: LM [147,0.585]: 1: LM [46,0.674]: 2: LM [34,0.735]: 1: LM [8,0.875]: 2: LM [6,1.000]: 2: ninsts = 5 1: ninsts = 1 1: ninsts = 2 2: ninsts = 26 1: LM [12,1.000]: 1: LM [5,1.000]: 2: ninsts = 1 1: ninsts = 4 2: ninsts = 7 2: LM [101,0.683]: 2: LM [77,0.727]: 1: LM [28,0.893]: 2: LM [17,1.000]: 2: ninsts = 15 1: ninsts = 2 1: LM [11,1.000]: 1: ninsts = 10 2: ninsts = 1 2: LM [49,0.918]: 2: LM [48,0.917]: 1: LM [8,1.000]: 2: ninsts = 4 1: ninsts = 4 2: ninsts = 40 1: ninsts = 1 1: LM [24,0.917]: 1: ninsts = 7 2: LM [17,0.882]: 2: ninsts = 15 1: LM [2,1.000]: 2: ninsts = 1 1: ninsts = 1 1: LM [96,0.615]: 1: LM [53,0.830]: 2: LM [15,0.867]: 1: LM [6,1.000]: 1: ninsts = 5 2: ninsts = 1 2: ninsts = 9 1: LM [38,0.895]: 1: LM [27,1.000]: 2: ninsts = 2 1: ninsts = 25 2: LM [11,1.000]: 2: ninsts = 1 1: ninsts = 10 2: LM [43,0.791]: 2: LM [13,0.923]: 2: ninsts = 12 1: ninsts = 1 1: LM [30,0.733]: 1: LM [19,0.789]: 1: LM [17,0.941]: 1: LM [15,1.000]: 1: ninsts = 14 2: ninsts = 1 2: ninsts = 2 2: LM [2,1.000]: 2: ninsts = 1 1: ninsts = 1 2: LM [11,0.909]: 2: ninsts = 2 1: LM [9,1.000]: 1: ninsts = 8 2: ninsts = 1 Number Epochs : 142.45 Num Insts seen: 271274 Num Insts trnd: 34615 Number nodes : 35 Number of LVs : 36 Unique vars : 6 Ave. vars/LM : 3.06 Train accuracy: 93.00 Test accuracy : 0.00 Train errors | 17.0 Test errors | 0.0 Time : 0