Set: ../python/arff/defect/cm1.arff 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 Set: ../python/arff/defect/kc1.arff Round 1 Oracle: 1266 Train: 422 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 229 13 127 52 0.800 0.357 0.291 0.667 0.713 ../python/arff/defect/kc1.arff nb FALSE 356 52 127 13 229 0.643 0.200 0.946 0.667 0.713 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 252 21 104 44 0.677 0.292 0.297 0.703 0.692 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 44 104 21 252 0.708 0.323 0.923 0.703 0.692 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 334 49 22 16 0.246 0.062 0.421 0.831 0.390 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 16 22 49 334 0.938 0.754 0.872 0.831 0.390 Round 2 Oracle: 1126 Train: 562 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 228 13 128 52 0.800 0.360 0.289 0.665 0.711 ../python/arff/defect/kc1.arff nb FALSE 356 52 128 13 228 0.640 0.200 0.946 0.665 0.711 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 252 21 104 44 0.677 0.292 0.297 0.703 0.692 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 44 104 21 252 0.708 0.323 0.923 0.703 0.692 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 339 49 17 16 0.246 0.048 0.485 0.843 0.391 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 16 17 49 339 0.952 0.754 0.874 0.843 0.391 Round 3 Oracle: 986 Train: 702 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 231 13 125 52 0.800 0.351 0.294 0.672 0.717 ../python/arff/defect/kc1.arff nb FALSE 356 52 125 13 231 0.649 0.200 0.947 0.672 0.717 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 248 20 108 45 0.692 0.303 0.294 0.696 0.694 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 45 108 20 248 0.697 0.308 0.925 0.696 0.694 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 342 50 14 15 0.231 0.039 0.517 0.848 0.372 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 15 14 50 342 0.961 0.769 0.872 0.848 0.372 Round 4 Oracle: 846 Train: 842 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 225 13 131 52 0.800 0.368 0.284 0.658 0.706 ../python/arff/defect/kc1.arff nb FALSE 356 52 131 13 225 0.632 0.200 0.945 0.658 0.706 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 256 23 100 42 0.646 0.281 0.296 0.708 0.681 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 42 100 23 256 0.719 0.354 0.918 0.708 0.681 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 341 50 15 15 0.231 0.042 0.500 0.846 0.372 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 15 15 50 341 0.958 0.769 0.872 0.846 0.372 Round 5 Oracle: 706 Train: 982 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 225 13 131 52 0.800 0.368 0.284 0.658 0.706 ../python/arff/defect/kc1.arff nb FALSE 356 52 131 13 225 0.632 0.200 0.945 0.658 0.706 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 256 22 100 43 0.662 0.281 0.301 0.710 0.689 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 43 100 22 256 0.719 0.338 0.921 0.710 0.689 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 340 53 16 12 0.185 0.045 0.429 0.836 0.309 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 12 16 53 340 0.955 0.815 0.865 0.836 0.309 Round 6 Oracle: 566 Train: 1122 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 212 11 144 54 0.831 0.404 0.273 0.632 0.694 ../python/arff/defect/kc1.arff nb FALSE 356 54 144 11 212 0.596 0.169 0.951 0.632 0.694 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 247 20 109 45 0.692 0.306 0.292 0.694 0.693 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 45 109 20 247 0.694 0.308 0.925 0.694 0.693 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 340 55 16 10 0.154 0.045 0.385 0.831 0.265 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 10 16 55 340 0.955 0.846 0.861 0.831 0.265 Round 7 Oracle: 426 Train: 1262 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 213 11 143 54 0.831 0.402 0.274 0.634 0.696 ../python/arff/defect/kc1.arff nb FALSE 356 54 143 11 213 0.598 0.169 0.951 0.634 0.696 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 247 20 109 45 0.692 0.306 0.292 0.694 0.693 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 45 109 20 247 0.694 0.308 0.925 0.694 0.693 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 339 55 17 10 0.154 0.048 0.370 0.829 0.265 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 10 17 55 339 0.952 0.846 0.860 0.829 0.265 Round 8 Oracle: 286 Train: 1402 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 213 11 143 54 0.831 0.402 0.274 0.634 0.696 ../python/arff/defect/kc1.arff nb FALSE 356 54 143 11 213 0.598 0.169 0.951 0.634 0.696 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 247 19 109 46 0.708 0.306 0.297 0.696 0.701 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 46 109 19 247 0.694 0.292 0.929 0.696 0.701 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 338 55 18 10 0.154 0.051 0.357 0.827 0.265 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 10 18 55 338 0.949 0.846 0.860 0.827 0.265 Round 9 Oracle: 146 Train: 1542 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 211 11 145 54 0.831 0.407 0.271 0.629 0.692 ../python/arff/defect/kc1.arff nb FALSE 356 54 145 11 211 0.593 0.169 0.950 0.629 0.692 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 235 16 121 49 0.754 0.340 0.288 0.675 0.704 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 49 121 16 235 0.660 0.246 0.936 0.675 0.704 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 337 54 19 11 0.169 0.053 0.367 0.827 0.287 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 11 19 54 337 0.947 0.831 0.862 0.827 0.287 Round 10 Oracle: 6 Train: 1682 Test: 421 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc1.arff nb TRUE 65 213 11 143 54 0.831 0.402 0.274 0.634 0.696 ../python/arff/defect/kc1.arff nb FALSE 356 54 143 11 213 0.598 0.169 0.951 0.634 0.696 ../python/arff/defect/kc1.arff nb+cliff TRUE 65 245 20 111 45 0.692 0.312 0.288 0.689 0.690 ../python/arff/defect/kc1.arff nb+cliff FALSE 356 45 111 20 245 0.688 0.308 0.925 0.689 0.690 ../python/arff/defect/kc1.arff 1NN+cliff TRUE 65 337 53 19 12 0.185 0.053 0.387 0.829 0.309 ../python/arff/defect/kc1.arff 1NN+cliff FALSE 356 12 19 53 337 0.947 0.815 0.864 0.829 0.309 Set: ../python/arff/defect/kc2.arff Round 1 Oracle: 314 Train: 104 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 56 3 27 18 0.857 0.325 0.400 0.712 0.755 ../python/arff/defect/kc2.arff nb FALSE 83 18 27 3 56 0.675 0.143 0.949 0.712 0.755 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 58 3 25 18 0.857 0.301 0.419 0.731 0.770 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 18 25 3 58 0.699 0.143 0.951 0.731 0.770 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 72 11 11 10 0.476 0.133 0.476 0.788 0.615 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 10 11 11 72 0.867 0.524 0.867 0.788 0.615 Round 2 Oracle: 280 Train: 138 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 60 3 23 18 0.857 0.277 0.439 0.750 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 18 23 3 60 0.723 0.143 0.952 0.750 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 76 13 7 8 0.381 0.084 0.533 0.808 0.538 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 8 7 13 76 0.916 0.619 0.854 0.808 0.538 Round 3 Oracle: 246 Train: 172 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 67 5 16 16 0.762 0.193 0.500 0.798 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 16 16 5 67 0.807 0.238 0.931 0.798 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 78 14 5 7 0.333 0.060 0.583 0.817 0.492 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 7 5 14 78 0.940 0.667 0.848 0.817 0.492 Round 4 Oracle: 212 Train: 206 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 67 5 16 16 0.762 0.193 0.500 0.798 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 16 16 5 67 0.807 0.238 0.931 0.798 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 78 13 5 8 0.381 0.060 0.615 0.827 0.542 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 8 5 13 78 0.940 0.619 0.857 0.827 0.542 Round 5 Oracle: 178 Train: 240 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 67 5 16 16 0.762 0.193 0.500 0.798 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 16 16 5 67 0.807 0.238 0.931 0.798 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 79 13 4 8 0.381 0.048 0.667 0.837 0.544 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 8 4 13 79 0.952 0.619 0.859 0.837 0.544 Round 6 Oracle: 144 Train: 274 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 67 5 16 16 0.762 0.193 0.500 0.798 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 16 16 5 67 0.807 0.238 0.931 0.798 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 79 13 4 8 0.381 0.048 0.667 0.837 0.544 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 8 4 13 79 0.952 0.619 0.859 0.837 0.544 Round 7 Oracle: 110 Train: 308 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 67 5 16 16 0.762 0.193 0.500 0.798 0.784 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 16 16 5 67 0.807 0.238 0.931 0.798 0.784 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 80 16 3 5 0.238 0.036 0.625 0.817 0.382 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 5 3 16 80 0.964 0.762 0.833 0.817 0.382 Round 8 Oracle: 76 Train: 342 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 64 4 19 17 0.810 0.229 0.472 0.779 0.790 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 17 19 4 64 0.771 0.190 0.941 0.779 0.790 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 79 16 4 5 0.238 0.048 0.556 0.808 0.381 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 5 4 16 79 0.952 0.762 0.832 0.808 0.381 Round 9 Oracle: 42 Train: 376 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 62 4 21 17 0.810 0.253 0.447 0.760 0.777 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 17 21 4 62 0.747 0.190 0.939 0.760 0.777 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 77 14 6 7 0.333 0.072 0.538 0.808 0.490 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 7 6 14 77 0.928 0.667 0.846 0.808 0.490 Round 10 Oracle: 8 Train: 410 Test: 104 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc2.arff nb TRUE 21 57 3 26 18 0.857 0.313 0.409 0.721 0.763 ../python/arff/defect/kc2.arff nb FALSE 83 18 26 3 57 0.687 0.143 0.950 0.721 0.763 ../python/arff/defect/kc2.arff nb+cliff TRUE 21 61 3 22 18 0.857 0.265 0.450 0.760 0.791 ../python/arff/defect/kc2.arff nb+cliff FALSE 83 18 22 3 61 0.735 0.143 0.953 0.760 0.791 ../python/arff/defect/kc2.arff 1NN+cliff TRUE 21 77 14 6 7 0.333 0.072 0.538 0.808 0.490 ../python/arff/defect/kc2.arff 1NN+cliff FALSE 83 7 6 14 77 0.928 0.667 0.846 0.808 0.490 Set: ../python/arff/defect/kc3.arff Round 1 Oracle: 276 Train: 91 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 77 8 6 0 0.000 0.072 0.000 0.846 0.000 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 0 6 8 77 0.928 1.000 0.906 0.846 0.000 Round 2 Oracle: 246 Train: 121 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 77 8 6 0 0.000 0.072 0.000 0.846 0.000 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 0 6 8 77 0.928 1.000 0.906 0.846 0.000 Round 3 Oracle: 216 Train: 151 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 78 8 5 0 0.000 0.060 0.000 0.857 0.000 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 0 5 8 78 0.940 1.000 0.907 0.857 0.000 Round 4 Oracle: 186 Train: 181 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 77 8 6 0 0.000 0.072 0.000 0.846 0.000 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 0 6 8 77 0.928 1.000 0.906 0.846 0.000 Round 5 Oracle: 156 Train: 211 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 78 8 5 0 0.000 0.060 0.000 0.857 0.000 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 0 5 8 78 0.940 1.000 0.907 0.857 0.000 Round 6 Oracle: 126 Train: 241 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 80 7 3 1 0.125 0.036 0.250 0.890 0.221 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 1 3 7 80 0.964 0.875 0.920 0.890 0.221 Round 7 Oracle: 96 Train: 271 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 78 5 5 3 0.375 0.060 0.375 0.890 0.536 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 3 5 5 78 0.940 0.625 0.940 0.890 0.536 Round 8 Oracle: 66 Train: 301 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 0 34 8 1.000 0.410 0.190 0.626 0.742 ../python/arff/defect/kc3.arff nb FALSE 83 8 34 0 49 0.590 0.000 1.000 0.626 0.742 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 78 5 5 3 0.375 0.060 0.375 0.890 0.536 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 3 5 5 78 0.940 0.625 0.940 0.890 0.536 Round 9 Oracle: 36 Train: 331 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 75 5 8 3 0.375 0.096 0.273 0.857 0.530 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 3 8 5 75 0.904 0.625 0.938 0.857 0.530 Round 10 Oracle: 6 Train: 361 Test: 91 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/kc3.arff nb TRUE 8 49 1 34 7 0.875 0.410 0.171 0.615 0.705 ../python/arff/defect/kc3.arff nb FALSE 83 7 34 1 49 0.590 0.125 0.980 0.615 0.705 ../python/arff/defect/kc3.arff nb+cliff TRUE 8 50 1 33 7 0.875 0.398 0.175 0.626 0.714 ../python/arff/defect/kc3.arff nb+cliff FALSE 83 7 33 1 50 0.602 0.125 0.980 0.626 0.714 ../python/arff/defect/kc3.arff 1NN+cliff TRUE 8 75 6 8 2 0.250 0.096 0.200 0.846 0.392 ../python/arff/defect/kc3.arff 1NN+cliff FALSE 83 2 8 6 75 0.904 0.750 0.926 0.846 0.392 Set: ../python/arff/defect/mw1.arff Round 1 Oracle: 243 Train: 80 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 66 3 8 3 0.500 0.108 0.273 0.863 0.641 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 3 8 3 66 0.892 0.500 0.957 0.863 0.641 Round 2 Oracle: 216 Train: 107 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 69 2 5 4 0.667 0.068 0.444 0.912 0.777 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 5 2 69 0.932 0.333 0.972 0.912 0.777 Round 3 Oracle: 189 Train: 134 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 68 2 6 4 0.667 0.081 0.400 0.900 0.773 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 6 2 68 0.919 0.333 0.971 0.900 0.773 Round 4 Oracle: 162 Train: 161 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 68 3 6 3 0.500 0.081 0.333 0.887 0.648 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 3 6 3 68 0.919 0.500 0.958 0.887 0.648 Round 5 Oracle: 135 Train: 188 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 51 2 23 4 0.667 0.311 0.148 0.688 0.678 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 23 2 51 0.689 0.333 0.962 0.688 0.678 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 69 3 5 3 0.500 0.068 0.375 0.900 0.651 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 3 5 3 69 0.932 0.500 0.958 0.900 0.651 Round 6 Oracle: 108 Train: 215 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 48 2 26 4 0.667 0.351 0.133 0.650 0.658 ../python/arff/defect/mw1.arff nb FALSE 74 4 26 2 48 0.649 0.333 0.960 0.650 0.658 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 48 2 26 4 0.667 0.351 0.133 0.650 0.658 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 26 2 48 0.649 0.333 0.960 0.650 0.658 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 69 2 5 4 0.667 0.068 0.444 0.912 0.777 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 5 2 69 0.932 0.333 0.972 0.912 0.777 Round 7 Oracle: 81 Train: 242 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 47 2 27 4 0.667 0.365 0.129 0.637 0.651 ../python/arff/defect/mw1.arff nb FALSE 74 4 27 2 47 0.635 0.333 0.959 0.637 0.651 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 47 2 27 4 0.667 0.365 0.129 0.637 0.651 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 27 2 47 0.635 0.333 0.959 0.637 0.651 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 69 2 5 4 0.667 0.068 0.444 0.912 0.777 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 5 2 69 0.932 0.333 0.972 0.912 0.777 Round 8 Oracle: 54 Train: 269 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 46 2 28 4 0.667 0.378 0.125 0.625 0.643 ../python/arff/defect/mw1.arff nb FALSE 74 4 28 2 46 0.622 0.333 0.958 0.625 0.643 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 46 2 28 4 0.667 0.378 0.125 0.625 0.643 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 28 2 46 0.622 0.333 0.958 0.625 0.643 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 68 2 6 4 0.667 0.081 0.400 0.900 0.773 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 6 2 68 0.919 0.333 0.971 0.900 0.773 Round 9 Oracle: 27 Train: 296 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 46 2 28 4 0.667 0.378 0.125 0.625 0.643 ../python/arff/defect/mw1.arff nb FALSE 74 4 28 2 46 0.622 0.333 0.958 0.625 0.643 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 46 2 28 4 0.667 0.378 0.125 0.625 0.643 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 28 2 46 0.622 0.333 0.958 0.625 0.643 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 68 2 6 4 0.667 0.081 0.400 0.900 0.773 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 6 2 68 0.919 0.333 0.971 0.900 0.773 Round 10 Oracle: 0 Train: 323 Test: 80 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/mw1.arff nb TRUE 6 44 2 30 4 0.667 0.405 0.118 0.600 0.629 ../python/arff/defect/mw1.arff nb FALSE 74 4 30 2 44 0.595 0.333 0.957 0.600 0.629 ../python/arff/defect/mw1.arff nb+cliff TRUE 6 44 2 30 4 0.667 0.405 0.118 0.600 0.629 ../python/arff/defect/mw1.arff nb+cliff FALSE 74 4 30 2 44 0.595 0.333 0.957 0.600 0.629 ../python/arff/defect/mw1.arff 1NN+cliff TRUE 6 68 2 6 4 0.667 0.081 0.400 0.900 0.773 ../python/arff/defect/mw1.arff 1NN+cliff FALSE 74 4 6 2 68 0.919 0.333 0.971 0.900 0.773 Set: ../python/arff/defect/pc1.arff Round 1 Oracle: 666 Train: 222 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 136 5 70 10 0.667 0.340 0.125 0.661 0.663 ../python/arff/defect/pc1.arff nb FALSE 206 10 70 5 136 0.660 0.333 0.965 0.661 0.663 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 129 4 77 11 0.733 0.374 0.125 0.633 0.676 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 11 77 4 129 0.626 0.267 0.970 0.633 0.676 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 202 12 4 3 0.200 0.019 0.429 0.928 0.332 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 3 4 12 202 0.981 0.800 0.944 0.928 0.332 Round 2 Oracle: 592 Train: 296 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 134 4 72 11 0.733 0.350 0.133 0.656 0.689 ../python/arff/defect/pc1.arff nb FALSE 206 11 72 4 134 0.650 0.267 0.971 0.656 0.689 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 127 4 79 11 0.733 0.383 0.122 0.624 0.670 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 11 79 4 127 0.617 0.267 0.969 0.624 0.670 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 201 12 5 3 0.200 0.024 0.375 0.923 0.332 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 3 5 12 201 0.976 0.800 0.944 0.923 0.332 Round 3 Oracle: 518 Train: 370 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 130 4 76 11 0.733 0.369 0.126 0.638 0.678 ../python/arff/defect/pc1.arff nb FALSE 206 11 76 4 130 0.631 0.267 0.970 0.638 0.678 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 123 4 83 11 0.733 0.403 0.117 0.606 0.658 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 11 83 4 123 0.597 0.267 0.969 0.606 0.658 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 202 12 4 3 0.200 0.019 0.429 0.928 0.332 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 3 4 12 202 0.981 0.800 0.944 0.928 0.332 Round 4 Oracle: 444 Train: 444 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 129 4 77 11 0.733 0.374 0.125 0.633 0.676 ../python/arff/defect/pc1.arff nb FALSE 206 11 77 4 129 0.626 0.267 0.970 0.633 0.676 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 118 4 88 11 0.733 0.427 0.111 0.584 0.643 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 11 88 4 118 0.573 0.267 0.967 0.584 0.643 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 198 11 8 4 0.267 0.039 0.333 0.914 0.418 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 4 8 11 198 0.961 0.733 0.947 0.914 0.418 Round 5 Oracle: 370 Train: 518 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 122 4 84 11 0.733 0.408 0.116 0.602 0.655 ../python/arff/defect/pc1.arff nb FALSE 206 11 84 4 122 0.592 0.267 0.968 0.602 0.655 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 121 4 85 11 0.733 0.413 0.115 0.597 0.652 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 11 85 4 121 0.587 0.267 0.968 0.597 0.652 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 200 9 6 6 0.400 0.029 0.500 0.932 0.567 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 6 6 9 200 0.971 0.600 0.957 0.932 0.567 Round 6 Oracle: 296 Train: 592 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 118 4 88 11 0.733 0.427 0.111 0.584 0.643 ../python/arff/defect/pc1.arff nb FALSE 206 11 88 4 118 0.573 0.267 0.967 0.584 0.643 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 130 5 76 10 0.667 0.369 0.116 0.633 0.648 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 10 76 5 130 0.631 0.333 0.963 0.633 0.648 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 202 12 4 3 0.200 0.019 0.429 0.928 0.332 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 3 4 12 202 0.981 0.800 0.944 0.928 0.332 Round 7 Oracle: 222 Train: 666 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 114 3 92 12 0.800 0.447 0.115 0.570 0.654 ../python/arff/defect/pc1.arff nb FALSE 206 12 92 3 114 0.553 0.200 0.974 0.570 0.654 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 113 3 93 12 0.800 0.451 0.114 0.566 0.651 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 12 93 3 113 0.549 0.200 0.974 0.566 0.651 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 196 10 10 5 0.333 0.049 0.333 0.910 0.494 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 5 10 10 196 0.951 0.667 0.951 0.910 0.494 Round 8 Oracle: 148 Train: 740 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 113 3 93 12 0.800 0.451 0.114 0.566 0.651 ../python/arff/defect/pc1.arff nb FALSE 206 12 93 3 113 0.549 0.200 0.974 0.566 0.651 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 113 3 93 12 0.800 0.451 0.114 0.566 0.651 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 12 93 3 113 0.549 0.200 0.974 0.566 0.651 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 197 11 9 4 0.267 0.044 0.308 0.910 0.417 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 4 9 11 197 0.956 0.733 0.947 0.910 0.417 Round 9 Oracle: 74 Train: 814 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 110 3 96 12 0.800 0.466 0.111 0.552 0.640 ../python/arff/defect/pc1.arff nb FALSE 206 12 96 3 110 0.534 0.200 0.973 0.552 0.640 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 113 3 93 12 0.800 0.451 0.114 0.566 0.651 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 12 93 3 113 0.549 0.200 0.974 0.566 0.651 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 197 11 9 4 0.267 0.044 0.308 0.910 0.417 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 4 9 11 197 0.956 0.733 0.947 0.910 0.417 Round 10 Oracle: 0 Train: 888 Test: 221 dataset treatment CLASS TotalNumOfClass A B C D pd pf prec acc HM ../python/arff/defect/pc1.arff nb TRUE 15 115 3 91 12 0.800 0.442 0.117 0.575 0.658 ../python/arff/defect/pc1.arff nb FALSE 206 12 91 3 115 0.558 0.200 0.975 0.575 0.658 ../python/arff/defect/pc1.arff nb+cliff TRUE 15 110 3 96 12 0.800 0.466 0.111 0.552 0.640 ../python/arff/defect/pc1.arff nb+cliff FALSE 206 12 96 3 110 0.534 0.200 0.973 0.552 0.640 ../python/arff/defect/pc1.arff 1NN+cliff TRUE 15 197 11 9 4 0.267 0.044 0.308 0.910 0.417 ../python/arff/defect/pc1.arff 1NN+cliff FALSE 206 4 9 11 197 0.956 0.733 0.947 0.910 0.417