cm1 Round 1 Oracle: 300 Train: 99 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 47 4 42 6 0.600 0.472 0.125 0.535 0.562 ../python/arff/defect/cm1.arff nb FALSE 89 6 42 4 47 0.528 0.400 0.922 0.535 0.562 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 47 4 42 6 0.600 0.472 0.125 0.535 0.562 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 6 42 4 47 0.528 0.400 0.922 0.535 0.562 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 80 8 9 2 0.200 0.101 0.182 0.828 0.327 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 9 8 80 0.899 0.800 0.909 0.828 0.327 Round 2 Oracle: 267 Train: 132 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 86 8 3 2 0.200 0.034 0.400 0.889 0.331 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 3 8 86 0.966 0.800 0.915 0.889 0.331 Round 3 Oracle: 234 Train: 165 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 85 8 4 2 0.200 0.045 0.333 0.879 0.331 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 4 8 85 0.955 0.800 0.914 0.879 0.331 Round 4 Oracle: 201 Train: 198 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 42 3 47 7 0.700 0.528 0.130 0.495 0.564 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 47 3 42 0.472 0.300 0.933 0.495 0.564 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 86 9 3 1 0.100 0.034 0.250 0.879 0.181 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 1 3 9 86 0.966 0.900 0.905 0.879 0.181 Round 5 Oracle: 168 Train: 231 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 41 3 48 7 0.700 0.539 0.127 0.485 0.556 ../python/arff/defect/cm1.arff nb FALSE 89 7 48 3 41 0.461 0.300 0.932 0.485 0.556 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 41 3 48 7 0.700 0.539 0.127 0.485 0.556 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 48 3 41 0.461 0.300 0.932 0.485 0.556 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 87 8 2 2 0.200 0.022 0.500 0.899 0.332 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 2 8 87 0.978 0.800 0.916 0.899 0.332 Round 6 Oracle: 135 Train: 264 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 41 3 48 7 0.700 0.539 0.127 0.485 0.556 ../python/arff/defect/cm1.arff nb FALSE 89 7 48 3 41 0.461 0.300 0.932 0.485 0.556 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 41 3 48 7 0.700 0.539 0.127 0.485 0.556 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 48 3 41 0.461 0.300 0.932 0.485 0.556 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 87 9 2 1 0.100 0.022 0.333 0.889 0.181 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 1 2 9 87 0.978 0.900 0.906 0.889 0.181 Round 7 Oracle: 102 Train: 297 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 40 3 49 7 0.700 0.551 0.125 0.475 0.547 ../python/arff/defect/cm1.arff nb FALSE 89 7 49 3 40 0.449 0.300 0.930 0.475 0.547 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 40 3 49 7 0.700 0.551 0.125 0.475 0.547 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 49 3 40 0.449 0.300 0.930 0.475 0.547 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 87 8 2 2 0.200 0.022 0.500 0.899 0.332 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 2 8 87 0.978 0.800 0.916 0.899 0.332 Round 8 Oracle: 69 Train: 330 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 40 3 49 7 0.700 0.551 0.125 0.475 0.547 ../python/arff/defect/cm1.arff nb FALSE 89 7 49 3 40 0.449 0.300 0.930 0.475 0.547 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 40 3 49 7 0.700 0.551 0.125 0.475 0.547 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 7 49 3 40 0.449 0.300 0.930 0.475 0.547 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 86 8 3 2 0.200 0.034 0.400 0.889 0.331 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 3 8 86 0.966 0.800 0.915 0.889 0.331 Round 9 Oracle: 36 Train: 363 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 43 4 46 6 0.600 0.517 0.115 0.495 0.535 ../python/arff/defect/cm1.arff nb FALSE 89 6 46 4 43 0.483 0.400 0.915 0.495 0.535 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 43 4 46 6 0.600 0.517 0.115 0.495 0.535 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 6 46 4 43 0.483 0.400 0.915 0.495 0.535 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 85 8 4 2 0.200 0.045 0.333 0.879 0.331 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 4 8 85 0.955 0.800 0.914 0.879 0.331 Round 10 Oracle: 3 Train: 396 Test: 99 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/cm1.arff nb TRUE 10 50 5 39 5 0.500 0.438 0.114 0.556 0.529 ../python/arff/defect/cm1.arff nb FALSE 89 5 39 5 50 0.562 0.500 0.909 0.556 0.529 ../python/arff/defect/cm1.arff nb+cliff TRUE 10 52 5 37 5 0.500 0.416 0.119 0.576 0.539 ../python/arff/defect/cm1.arff nb+cliff FALSE 89 5 37 5 52 0.584 0.500 0.912 0.576 0.539 ../python/arff/defect/cm1.arff 1NN+cliff TRUE 10 85 8 4 2 0.200 0.045 0.333 0.879 0.331 ../python/arff/defect/cm1.arff 1NN+cliff FALSE 89 2 4 8 85 0.955 0.800 0.914 0.879 0.331