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#	ID classifier Options OptimizedValue SearchMode nbrOfFeatures TRAIN_10CV_ACC TRAIN_10CV_AUC TRAIN_10CV_AUPRC TRAIN_10CV_SEN TRAIN_10CV_SPE TRAIN_10CV_MCC TRAIN_10CV_BER TRAIN_10CV_FPR TRAIN_10CV_FNR TRAIN_10CV_PPV TRAIN_10CV_FDR TRAIN_10CV_Fscore TRAIN_10CV_kappa TRAIN_matrix TRAIN_LOOCV_ACC TRAIN_LOOCV_AUC TRAIN_LOOCV_AUPRC TRAIN_LOOCV_SEN TRAIN_LOOCV_SPE TRAIN_LOOCV_MCC TRAIN_LOOCV_BER TRAIN_RH_ACC TRAIN_RH_AUC TRAIN_RH_AUPRC TRAIN_RH_SEN TRAIN_RH_SPE TRAIN_RH_MCC TRAIN_RH_BER TRAIN_BS_ACC TRAIN_BS_AUC TRAIN_BS_AUPRC TRAIN_BS_SEN TRAIN_BS_SPE TRAIN_BS_MCC TRAIN_BS_BER TRAIN_BS.632+ TEST_ACC TEST_AUC TEST_AUPRC TEST_SEN TEST_SPE TEST_MCC TEST_BER TRAIN_TEST_RH_ACC TRAIN_TEST_RH_AUC TRAIN_TEST_RH_AUPRC TRAIN_TEST_RH_SEN TRAIN_TEST_RH_SPE TRAIN_TEST_RH_MCC TRAIN_TEST_RH_BER TRAIN_TEST_BS_ACC TRAIN_TEST_BS_AUC TRAIN_TEST_BS_AUPRC TRAIN_TEST_BS_SEN TRAIN_TEST_BS_SPE TRAIN_TEST_BS_MCC TRAIN_TEST_BS_BER TRAIN_TEST_BS.632+ AVG_BER STD_BER AVG_MCC STD_MCC AttributeList
1	trees.ExtraTree_MCC_top1_1_0.7167_511 trees.ExtraTree -K -1 -N -1 -S 1 MCC top1 1 0.7167 0.6832 0.6596 0.7167 0.6496 0.3706 0.3168 0.3504 0.2833 0.7137 0.2863 0.715 0.3704 [12 9] [8 31] 0.7 0.6593 0.6418 0.7 0.6187 0.3268 0.3407 0.688 0.667 0.668 0.688 0.642 0.334 0.335 0.693 0.666 0.668 0.693 0.636 0.34 0.335 0.321 0.332 0.01 0.343 0.019 1	2	75
2	functions.VotedPerceptron_AUC_top40_40_0.6333_743 functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 AUC top40 40 0.6333 0.4029 0.4878 0.6333 0.341 -0.0955 0.5128 0.659 0.3667 0.4186 0.5814 0.5041 -0.0329 [0 21] [1 38] 0.6333 0.3639 0.4783 0.6333 0.341 -0.0955 0.5128 0.646 0.462 0.572 0.646 0.347 -0.011 0.504 0.633 0.479 0.58 0.633 0.349 -0.023 0.509 0.355 0.51 0.004 -0.056 0.046 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
3	trees.CDT_FDR_top15_15_0.75_216 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 FDR top15 15 0.75 0.7155 0.7127 0.75 0.6236 0.4213 0.3132 0.3764 0.25 0.7446 0.2554 0.7353 0.4048 [10 11] [4 35] 0.7333 0.638 0.677 0.7333 0.6366 0.3916 0.315 0.665 0.602 0.619 0.665 0.533 0.212 0.401 0.736 0.692 0.701 0.736 0.639 0.399 0.312 0.263 0.335 0.044 0.356 0.097 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
4	misc.HyperPipes_FDR_top15_15_0.8333_996 misc.HyperPipes FDR top15 15 0.8333 0.8932 0.8949 0.8333 0.7125 0.6319 0.2271 0.2875 0.1667 0.8486 0.1514 0.8215 0.5984 [12 9] [1 38] 0.8 0.8639 0.8712 0.8 0.6945 0.5447 0.2527 0.826 0.898 0.908 0.826 0.753 0.627 0.21 0.815 0.886 0.895 0.815 0.734 0.597 0.225 0.155 0.229 0.018 0.6 0.04 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
5	rules.Ridor_AUC_top10_10_0.7667_696 rules.Ridor -F 3 -S 1 -N 2.0 AUC top10 10 0.7667 0.7766 0.7348 0.7667 0.7864 0.5303 0.2234 0.2136 0.2333 0.7916 0.2084 0.7715 0.5189 [17 4] [10 29] 0.7833 0.7784 0.7385 0.7833 0.7734 0.5421 0.2216 0.735 0.691 0.687 0.735 0.646 0.408 0.309 0.742 0.717 0.701 0.742 0.691 0.442 0.283 0.233 0.259 0.044 0.481 0.066 1	2	3	4	5	6	7	8	9	10	11	75
6	rules.PART_MCC_top25_25_0.75_524 rules.PART -M 2 -C 0.25 -Q 1 MCC top25 25 0.75 0.7039 0.6826 0.75 0.6676 0.4346 0.2912 0.3324 0.25 0.744 0.256 0.745 0.4318 [12 9] [6 33] 0.7333 0.793 0.7715 0.7333 0.7245 0.443 0.2711 0.716 0.684 0.681 0.716 0.649 0.381 0.317 0.715 0.682 0.676 0.715 0.648 0.379 0.319 0.263 0.3 0.023 0.409 0.034 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
7	bayes.AveragedNDependenceEstimators.A2DE_FDR_top15_15_0.9333_926 bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 -W FDR top15 15 0.9333 0.978 0.9788 0.9333 0.9201 0.8535 0.0733 0.0799 0.0667 0.9333 0.0667 0.9333 0.8535 [19 2] [2 37] 0.95 0.9658 0.9697 0.95 0.9291 0.8895 0.0604 0.846 0.9 0.906 0.846 0.827 0.675 0.164 0.886 0.95 0.958 0.886 0.866 0.756 0.124 0.078 0.105 0.048 0.793 0.097 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
8	rules.OneR_ACC_top10_10_0.7167_210 rules.OneR -B 6 ACC top10 10 0.7167 0.6392 0.6334 0.7167 0.5617 0.332 0.3608 0.4383 0.2833 0.7073 0.2927 0.6927 0.3089 [8 13] [4 35] 0.7 0.6264 0.622 0.7 0.5527 0.2926 0.3736 0.706 0.657 0.659 0.706 0.608 0.358 0.343 0.646 0.603 0.623 0.646 0.561 0.224 0.397 0.305 0.369 0.023 0.302 0.058 1	2	3	4	5	6	7	8	9	10	11	75
9	trees.CDT_ACC_top30_30_0.6667_279 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 ACC top30 30 0.6667 0.6471 0.6642 0.6667 0.4908 0.1942 0.4212 0.5092 0.3333 0.6419 0.3581 0.6335 0.177 [6 15] [5 34] 0.6833 0.5842 0.6334 0.6833 0.5658 0.2687 0.3755 0.669 0.594 0.617 0.669 0.517 0.198 0.407 0.678 0.633 0.648 0.678 0.58 0.269 0.371 0.337 0.394 0.024 0.232 0.042 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	75
10	rules.NNge_ACC_top10_10_0.7833_297 rules.NNge -G 5 -I 5 ACC top10 10 0.7833 0.7125 0.7001 0.7833 0.6416 0.5067 0.2875 0.3584 0.2167 0.7927 0.2073 0.765 0.4715 [10 11] [2 37] 0.7833 0.7344 0.7098 0.7833 0.6855 0.5057 0.2656 0.739 0.684 0.688 0.739 0.63 0.414 0.316 0.75 0.696 0.695 0.75 0.643 0.434 0.304 0.237 0.293 0.022 0.465 0.048 1	2	3	4	5	6	7	8	9	10	11	75
11	bayes.AveragedNDependenceEstimators.A1DE_BER_top40_40_0.85_841 bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 BER top40 40 0.85 0.9536 0.9567 0.85 0.8313 0.6744 0.1593 0.1687 0.15 0.852 0.148 0.8508 0.6739 [17 4] [5 34] 0.8833 0.9731 0.9763 0.8833 0.8932 0.7561 0.1117 0.807 0.879 0.892 0.807 0.787 0.594 0.203 0.869 0.938 0.949 0.869 0.852 0.72 0.14 0.106 0.153 0.038 0.686 0.07 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
12	functions.SPegasos_ACC_top1_1_0.5167_298 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N ACC top1 1 0.5167 0.4963 0.5433 0.5167 0.476 -0.0071 0.5037 0.524 0.4833 0.5417 0.4583 0.5258 -0.0069 [9 12] [17 22] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.507 0.491 0.558 0.507 0.474 -0.037 0.509 0.526 0.494 0.563 0.526 0.463 -0.024 0.506 0.537 0.5 0.013 -0.007 0.033 1	2	75
13	bayes.NaiveBayes_FDR_top30_30_0.8_495 bayes.NaiveBayes FDR top30 30 0.8 0.8077 0.8167 0.8 0.7604 0.5604 0.2198 0.2396 0.2 0.8 0.2 0.8 0.5604 [15 6] [6 33] 0.7833 0.7828 0.7909 0.7833 0.7515 0.5293 0.2326 0.787 0.806 0.829 0.787 0.747 0.534 0.233 0.785 0.807 0.827 0.785 0.746 0.532 0.235 0.196 0.23 0.007 0.539 0.014 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	75
14	rules.PART_BER_top50_50_0.7167_454 rules.PART -M 2 -C 0.25 -Q 1 BER top50 50 0.7167 0.6496 0.6458 0.7167 0.6057 0.3477 0.3388 0.3943 0.2833 0.7063 0.2937 0.7061 0.3411 [10 11] [6 33] 0.7 0.6252 0.6285 0.7 0.6187 0.3268 0.3407 0.69 0.661 0.665 0.69 0.632 0.329 0.339 0.688 0.666 0.665 0.688 0.644 0.338 0.334 0.304 0.338 0.003 0.335 0.01 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
15	bayes.BayesNet_BER_top1_1_0.65_562 bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 BER top1 1 0.65 0.5232 0.5624 0.65 0.394 0.084 0.478 0.606 0.35 0.6045 0.3955 0.5623 0.0541 [2 19] [2 37] 0.5833 0.5128 0.7096 0.5833 0.3141 -0.1961 0.5513 0.651 0.524 0.569 0.651 0.398 0.053 0.476 0.711 0.629 0.644 0.711 0.539 0.279 0.375 0.303 0.47 0.072 0.055 0.195 1	2	75
16	functions.SPegasos_AUC_top15_15_0.75_591 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M AUC top15 15 0.75 0.7198 0.69 0.75 0.6896 0.4447 0.2802 0.3104 0.25 0.7475 0.2525 0.7485 0.4444 [13 8] [7 32] 0.7 0.6813 0.6563 0.7 0.6626 0.3558 0.3187 0.708 0.689 0.677 0.708 0.67 0.381 0.311 0.704 0.691 0.687 0.704 0.679 0.383 0.309 0.277 0.305 0.017 0.391 0.038 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
17	functions.RBFNetwork_AUC_top5_5_0.75_63 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top5 5 0.75 0.7582 0.7538 0.75 0.6896 0.4447 0.2802 0.3104 0.25 0.7475 0.2525 0.7485 0.4444 [13 8] [7 32] 0.7833 0.8061 0.7959 0.7833 0.7075 0.5109 0.2546 0.729 0.763 0.785 0.729 0.65 0.402 0.311 0.717 0.753 0.777 0.717 0.625 0.362 0.329 0.277 0.294 0.033 0.43 0.064 1	2	3	4	5	6	75
18	functions.SPegasos_MCC_top15_15_0.5167_329 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M MCC top15 15 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.534 0.5 0.559 0.534 0.466 0 0.5 0.562 0.5 0.563 0.562 0.438 0 0.5 0.516 0.499 0.014 0.003 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
19	trees.RandomTree_BER_F_9_0.5833_714 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 BER F 9 0.5833 0.5366 0.5629 0.5833 0.4899 0.0741 0.4634 0.5101 0.4167 0.5787 0.4213 0.5809 0.0741 [8 13] [12 27] 0.6667 0.6447 0.6292 0.6667 0.6227 0.2839 0.3553 0.684 0.65 0.648 0.684 0.617 0.316 0.35 0.676 0.643 0.652 0.676 0.611 0.3 0.357 0.305 0.381 0.055 0.243 0.114 1	2	6	7	17	23	42	47	51	57	75
20	functions.RBFNetwork_MCC_top10_10_0.75_399 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top10 10 0.75 0.7178 0.7282 0.75 0.6236 0.4213 0.3132 0.3764 0.25 0.7446 0.2554 0.7353 0.4048 [10 11] [4 35] 0.7167 0.6542 0.6515 0.7167 0.6057 0.3477 0.3388 0.737 0.694 0.737 0.737 0.616 0.396 0.324 0.752 0.739 0.773 0.752 0.652 0.447 0.298 0.254 0.319 0.017 0.403 0.042 1	2	3	4	5	6	7	8	9	10	11	75
21	functions.SimpleLogistic_ACC_top40_40_0.75_744 functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 -A ACC top40 40 0.75 0.7656 0.783 0.75 0.6896 0.4447 0.2802 0.3104 0.25 0.7475 0.2525 0.7485 0.4444 [13 8] [7 32] 0.7833 0.7607 0.7612 0.7833 0.7075 0.5109 0.2546 0.718 0.771 0.809 0.718 0.687 0.405 0.298 0.733 0.791 0.819 0.733 0.703 0.438 0.282 0.253 0.279 0.018 0.45 0.044 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
22	trees.RandomForest_AUC_top1_1_0.7_360 trees.RandomForest -I 25 -K 0 -S 1 AUC top1 1 0.7 0.6984 0.7069 0.7 0.6407 0.3407 0.3297 0.3593 0.3 0.7 0.3 0.7 0.3407 [12 9] [9 30] 0.7 0.6893 0.6975 0.7 0.6407 0.3407 0.3297 0.7 0.689 0.731 0.7 0.645 0.353 0.328 0.691 0.68 0.71 0.691 0.648 0.345 0.331 0.322 0.33 0.001 0.345 0.006 1	2	75
23	lazy.IBk_MCC_top40_40_0.75_760 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top40 40 0.75 0.7637 0.7229 0.75 0.7775 0.5043 0.2363 0.2225 0.25 0.7813 0.2188 0.7555 0.4898 [17 4] [11 28] 0.7167 0.7271 0.6912 0.7167 0.7375 0.4343 0.2729 0.69 0.703 0.684 0.69 0.716 0.39 0.297 0.707 0.714 0.721 0.707 0.721 0.419 0.286 0.292 0.273 0.026 0.437 0.049 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
24	bayes.AveragedNDependenceEstimators.A2DE_ACC_FB_4_0.9333_210 bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0 -W ACC FB 4 0.9333 0.9078 0.9189 0.9333 0.8762 0.8569 0.0952 0.1238 0.0667 0.9395 0.0605 0.9315 0.8467 [17 4] [0 39] 0.9 0.8681 0.8992 0.9 0.8363 0.7793 0.1319 0.794 0.787 0.78 0.794 0.733 0.56 0.236 0.848 0.88 0.88 0.848 0.798 0.677 0.177 0.129 0.16 0.061 0.718 0.129 1	3	5	13	37	75
25	lazy.IBk_AUC_top30_30_0.8167_901 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" AUC top30 30 0.8167 0.815 0.7739 0.8167 0.8134 0.6134 0.185 0.1866 0.1833 0.8257 0.1743 0.8191 0.6099 [17 4] [7 32] 0.8 0.7912 0.7518 0.8 0.7824 0.5714 0.2088 0.78 0.773 0.751 0.78 0.766 0.532 0.227 0.789 0.79 0.792 0.789 0.792 0.562 0.209 0.196 0.207 0.017 0.57 0.034 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	75
26	functions.LibLINEAR_AUC_F_10_0.9167_510 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC F 10 0.9167 0.9029 0.8796 0.9167 0.8892 0.8154 0.0971 0.1108 0.0833 0.9163 0.0837 0.9162 0.8148 [18 3] [2 37] 0.8833 0.8773 0.8436 0.8833 0.8712 0.7469 0.1227 0.862 0.85 0.827 0.862 0.837 0.71 0.15 0.828 0.813 0.792 0.828 0.799 0.634 0.187 0.143 0.139 0.038 0.727 0.076 1	2	3	4	5	6	7	9	21	25	37	75
27	lazy.IB1_ACC_FB_4_0.9_661 lazy.IB1 ACC FB 4 0.9 0.8901 0.861 0.9 0.8802 0.7802 0.1099 0.1198 0.1 0.9 0.1 0.9 0.7802 [18 3] [3 36] 0.8667 0.8425 0.8131 0.8667 0.8183 0.7023 0.1575 0.811 0.792 0.773 0.811 0.772 0.589 0.208 0.793 0.767 0.75 0.793 0.742 0.543 0.233 0.188 0.177 0.055 0.654 0.108 1	3	9	21	43	75
28	bayes.NaiveBayes_MCC_top20_20_0.7833_328 bayes.NaiveBayes -K MCC top20 20 0.7833 0.7969 0.7827 0.7833 0.7734 0.5421 0.2216 0.2266 0.2167 0.7931 0.2069 0.7862 0.539 [16 5] [8 31] 0.7833 0.7908 0.7807 0.7833 0.7734 0.5421 0.2216 0.77 0.83 0.843 0.77 0.793 0.539 0.219 0.791 0.815 0.831 0.791 0.777 0.557 0.216 0.191 0.22 0.003 0.545 0.008 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
29	bayes.BayesNet_ACC_top15_15_0.9167_895 bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.BMAEstimator -- -A 0.5 ACC top15 15 0.9167 0.9658 0.9716 0.9167 0.9112 0.8194 0.0861 0.0888 0.0833 0.9181 0.0819 0.9171 0.8188 [19 2] [3 36] 0.95 0.9548 0.9593 0.95 0.9291 0.8895 0.0604 0.802 0.884 0.894 0.802 0.785 0.584 0.206 0.888 0.948 0.956 0.888 0.874 0.764 0.119 0.09 0.118 0.063 0.764 0.131 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
30	trees.J48_AUC_F_9_0.9_661 trees.J48 -C 0.25 -M 2 AUC F 9 0.9 0.9188 0.8984 0.9 0.8802 0.7802 0.1099 0.1198 0.1 0.9 0.1 0.9 0.7802 [18 3] [3 36] 0.8333 0.895 0.8743 0.8333 0.8004 0.6337 0.1832 0.733 0.721 0.718 0.733 0.678 0.422 0.294 0.725 0.709 0.708 0.725 0.673 0.403 0.301 0.232 0.222 0.092 0.56 0.18 1	2	3	9	18	20	39	53	55	62	75
31	rules.OneR_FDR_BF_7_0.3167_585 rules.OneR -B 6 FDR BF 7 0.3167 0.2656 0.4857 0.3167 0.2145 -0.4565 0.7344 0.7855 0.6833 0.3361 0.6639 0.3258 -0.4539 [2 19] [22 17] 0.3 0.2857 0.4856 0.3 0.2714 -0.4091 0.7143 0.582 0.549 0.596 0.582 0.516 0.102 0.451 0.596 0.558 0.596 0.596 0.521 0.119 0.442 -0.502 0.585 0.161 -0.161 0.314 1	73	66	63	32	28	27	23	75
32	lazy.KStar_ACC_F_2_0.8_404 lazy.KStar -B 20 -M m ACC F 2 0.8 0.7871 0.7534 0.8 0.7385 0.5521 0.2308 0.2615 0.2 0.7969 0.2031 0.7975 0.5506 [14 7] [5 34] 0.7667 0.7847 0.7516 0.7667 0.6985 0.477 0.2674 0.761 0.781 0.806 0.761 0.725 0.486 0.257 0.731 0.756 0.781 0.731 0.682 0.426 0.294 0.243 0.262 0.026 0.485 0.052 1	2	5	75
33	functions.SMO_AUC_top20_20_0.8167_778 functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "functions.supportVector.PolyKernel -C 250007 -E 1.0" AUC top20 20 0.8167 0.793 0.7583 0.8167 0.7694 0.593 0.207 0.2306 0.1833 0.815 0.185 0.8156 0.5926 [15 6] [5 34] 0.7833 0.7564 0.7229 0.7833 0.7295 0.5189 0.2436 0.768 0.756 0.736 0.768 0.745 0.521 0.244 0.76 0.745 0.724 0.76 0.73 0.5 0.255 0.195 0.237 0.021 0.533 0.041 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
34	rules.JRip_ACC_F_5_0.85_521 rules.JRip -F 3 -N 2.0 -O 2 -S 1 ACC F 5 0.85 0.7509 0.7442 0.85 0.7654 0.6637 0.1923 0.2346 0.15 0.8528 0.1472 0.8444 0.6512 [14 7] [2 37] 0.7667 0.6111 0.683 0.7667 0.6546 0.464 0.2894 0.77 0.73 0.733 0.77 0.683 0.494 0.274 0.744 0.705 0.722 0.744 0.662 0.433 0.297 0.269 0.263 0.048 0.514 0.103 1	2	3	6	42	74	75
35	rules.NNge_AUC_F_6_0.85_969 rules.NNge -G 5 -I 5 AUC F 6 0.85 0.8187 0.7901 0.85 0.7874 0.6634 0.1813 0.2126 0.15 0.8488 0.1512 0.847 0.6591 [15 6] [3 36] 0.75 0.7088 0.683 0.75 0.6676 0.4346 0.2912 0.741 0.708 0.701 0.741 0.674 0.424 0.292 0.742 0.709 0.696 0.742 0.677 0.443 0.291 0.242 0.264 0.055 0.491 0.115 1	2	3	6	20	34	44	75
36	functions.SPegasos_FDR_FB_1_0.5167_270 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N FDR FB 1 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.53 0.5 0.559 0.53 0.47 0 0.5 0.553 0.5 0.561 0.553 0.447 0 0.5 0.537 0.499 0.014 0.003 0.028 1	7	75
37	functions.SPegasos_AUC_F_3_0.55_676 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N AUC F 3 0.55 0.522 0.5554 0.55 0.494 0.0428 0.478 0.506 0.45 0.5646 0.4354 0.556 0.0426 [9 12] [15 24] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.522 0.502 0.563 0.522 0.482 0.004 0.498 0.506 0.5 0.561 0.506 0.494 -0.003 0.5 0.507 0.489 0.012 0.021 0.023 1	2	3	30	75
38	rules.RoughSet_FDR_F_7_0.55_495 rules.RoughSet -D 8 -R 0 -I 0 -X 3 FDR F 7 0.55 0.478 0.5355 0.55 0.406 -0.0474 0.522 0.594 0.45 0.523 0.477 0.5331 -0.0465 [5 16] [11 28] 0.7 0.6641 0.6475 0.7119 0.6086 0.335 0.3397 0.694 0.664 0.675 0.695 0.633 0.328 0.336 0.692 0.663 0.662 0.692 0.634 0.333 0.337 0.313 0.384 0.092 0.237 0.19 1	2	6	11	13	33	60	74	75
39	trees.ExtraTree_MCC_top5_5_0.6167_63 trees.ExtraTree -K -1 -N -1 -S 1 MCC top5 5 0.6167 0.6172 0.6098 0.6167 0.6178 0.2241 0.3828 0.3822 0.3833 0.65 0.35 0.6252 0.2177 [13 8] [15 24] 0.6833 0.6575 0.6388 0.6833 0.6317 0.3118 0.3425 0.691 0.673 0.67 0.691 0.654 0.344 0.327 0.698 0.674 0.676 0.698 0.65 0.348 0.326 0.316 0.345 0.027 0.307 0.058 1	2	3	4	5	6	75
40	misc.HyperPipes_FDR_top20_20_0.85_36 misc.HyperPipes FDR top20 20 0.85 0.9145 0.9138 0.85 0.7654 0.6637 0.1923 0.2346 0.15 0.8528 0.1472 0.8444 0.6512 [14 7] [2 37] 0.8167 0.8907 0.8904 0.8167 0.7255 0.5847 0.2289 0.817 0.895 0.907 0.817 0.756 0.612 0.214 0.821 0.893 0.906 0.821 0.763 0.614 0.208 0.153 0.211 0.015 0.619 0.033 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
41	trees.CDT_FDR_top20_20_0.7333_519 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 FDR top20 20 0.7333 0.7045 0.6995 0.7333 0.5927 0.3774 0.337 0.4073 0.2667 0.7264 0.2736 0.7144 0.3574 [9 12] [4 35] 0.7 0.605 0.6733 0.7 0.5747 0.3026 0.3626 0.693 0.628 0.65 0.693 0.559 0.266 0.374 0.69 0.656 0.669 0.69 0.615 0.323 0.347 0.304 0.355 0.016 0.317 0.047 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
42	functions.VotedPerceptron_AUC_top50_50_0.7667_301 functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 AUC top50 50 0.7667 0.6459 0.6707 0.7667 0.6106 0.4651 0.3114 0.3894 0.2333 0.7772 0.2228 0.7435 0.4239 [9 12] [2 37] 0.7 0.5916 0.6147 0.7 0.5088 0.2789 0.3956 0.68 0.664 0.715 0.68 0.54 0.266 0.39 0.684 0.682 0.725 0.684 0.553 0.271 0.382 0.307 0.37 0.039 0.32 0.097 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
43	rules.PART_MCC_top30_30_0.75_997 rules.PART -M 2 -C 0.25 -Q 1 MCC top30 30 0.75 0.7039 0.6826 0.75 0.6676 0.4346 0.2912 0.3324 0.25 0.744 0.256 0.745 0.4318 [12 9] [6 33] 0.7167 0.7888 0.7688 0.7167 0.7156 0.416 0.2839 0.733 0.709 0.7 0.733 0.677 0.417 0.295 0.726 0.707 0.7 0.726 0.686 0.418 0.294 0.276 0.291 0.005 0.421 0.009 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	75
44	rules.OneR_ACC_top15_15_0.7167_545 rules.OneR -B 6 ACC top15 15 0.7167 0.6392 0.6334 0.7167 0.5617 0.332 0.3608 0.4383 0.2833 0.7073 0.2927 0.6927 0.3089 [8 13] [4 35] 0.7 0.6264 0.622 0.7 0.5527 0.2926 0.3736 0.698 0.647 0.663 0.698 0.596 0.328 0.353 0.659 0.625 0.642 0.659 0.591 0.259 0.375 0.382 0.366 0.011 0.303 0.034 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
45	trees.CDT_ACC_top40_40_0.7_26 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 ACC top40 40 0.7 0.6764 0.6723 0.7 0.5527 0.2926 0.3736 0.4473 0.3 0.6856 0.3144 0.6787 0.2771 [8 13] [5 34] 0.6333 0.5495 0.6069 0.6333 0.4729 0.123 0.4469 0.644 0.58 0.614 0.644 0.509 0.159 0.423 0.648 0.612 0.628 0.648 0.582 0.243 0.385 0.349 0.407 0.034 0.204 0.077 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
46	rules.Ridor_AUC_top15_15_0.8_424 rules.Ridor -F 3 -S 1 -N 2.0 AUC top15 15 0.8 0.7802 0.744 0.8 0.7604 0.5604 0.2198 0.2396 0.2 0.8 0.2 0.8 0.5604 [15 6] [6 33] 0.75 0.7088 0.683 0.75 0.6676 0.4346 0.2912 0.726 0.688 0.688 0.726 0.65 0.398 0.312 0.735 0.716 0.705 0.735 0.697 0.438 0.284 0.269 0.277 0.04 0.458 0.071 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
47	bayes.AveragedNDependenceEstimators.A2DE_FDR_top20_20_0.9_631 bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 -W FDR top20 20 0.9 0.9707 0.9723 0.9 0.8802 0.7802 0.1099 0.1198 0.1 0.9 0.1 0.9 0.7802 [18 3] [3 36] 0.9167 0.9646 0.9679 0.9167 0.8892 0.8154 0.0971 0.822 0.89 0.895 0.822 0.788 0.627 0.195 0.886 0.945 0.953 0.886 0.874 0.758 0.12 0.084 0.131 0.044 0.745 0.082 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
48	rules.NNge_ACC_top15_15_0.7333_765 rules.NNge -G 5 -I 5 ACC top15 15 0.7333 0.663 0.6516 0.7333 0.5927 0.3774 0.337 0.4073 0.2667 0.7264 0.2736 0.7144 0.3574 [9 12] [4 35] 0.75 0.6758 0.665 0.75 0.6016 0.4193 0.3242 0.722 0.654 0.668 0.722 0.586 0.347 0.346 0.74 0.682 0.686 0.74 0.623 0.412 0.318 0.259 0.331 0.013 0.389 0.033 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
49	functions.SPegasos_ACC_top5_5_0.5167_383 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N ACC top5 5 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.502 0.498 0.565 0.502 0.493 -0.006 0.502 0.525 0.496 0.558 0.525 0.468 -0.013 0.504 0.53 0.5 0.015 -0.002 0.029 1	2	3	4	5	6	75
50	bayes.AveragedNDependenceEstimators.A1DE_BER_top50_50_0.8333_841 bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 BER top50 50 0.8333 0.9328 0.9378 0.8333 0.8004 0.6337 0.1832 0.1996 0.1667 0.8333 0.1667 0.8333 0.6337 [16 5] [5 34] 0.8667 0.9621 0.9666 0.8667 0.8623 0.7151 0.1355 0.814 0.895 0.908 0.814 0.786 0.603 0.2 0.857 0.939 0.951 0.857 0.841 0.701 0.151 0.114 0.167 0.029 0.663 0.054 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
51	bayes.NaiveBayesSimple_ACC_BF_4_0.8167_840 bayes.NaiveBayesSimple ACC BF 4 0.8167 0.8645 0.8507 0.8167 0.8573 0.6444 0.163 0.1427 0.1833 0.8469 0.1531 0.8207 0.6259 [19 2] [9 30] 0.8 0.8523 0.8484 0.8 0.8484 0.6188 0.1758 0.781 0.85 0.87 0.781 0.81 0.571 0.204 0.794 0.852 0.87 0.794 0.809 0.587 0.198 0.2 0.185 0.019 0.605 0.033 1	73	71	6	4	75
52	bayes.NaiveBayes_FDR_top40_40_0.8167_833 bayes.NaiveBayes FDR top40 40 0.8167 0.799 0.8165 0.8167 0.7694 0.593 0.207 0.2306 0.1833 0.815 0.185 0.8156 0.5926 [15 6] [5 34] 0.7833 0.806 0.8222 0.7833 0.7515 0.5293 0.2326 0.787 0.824 0.848 0.787 0.737 0.528 0.238 0.784 0.81 0.835 0.784 0.733 0.525 0.241 0.2 0.23 0.015 0.544 0.033 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
53	bayes.BayesNet_AUC_F_16_0.95_23 bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 AUC F 16 0.95 0.989 0.99 0.95 0.9291 0.8895 0.0604 0.0709 0.05 0.95 0.05 0.9497 0.8889 [19 2] [1 38] 0.95 0.9817 0.9824 0.95 0.9291 0.8895 0.0604 0.841 0.902 0.903 0.841 0.802 0.658 0.178 0.89 0.962 0.968 0.89 0.863 0.768 0.123 0.082 0.105 0.057 0.801 0.111 1	2	3	4	5	6	7	8	10	12	13	14	17	33	34	37	73	75
54	trees.LMT_FDR_top25_25_0.8167_478 trees.LMT -I -1 -M 15 -W 0.0 FDR top25 25 0.8167 0.8254 0.8353 0.8167 0.7255 0.5847 0.2289 0.2745 0.1833 0.8162 0.1838 0.8098 0.5736 [13 8] [3 36] 0.7833 0.7497 0.7624 0.7833 0.7515 0.5293 0.2326 0.742 0.779 0.818 0.742 0.68 0.431 0.289 0.735 0.779 0.817 0.735 0.69 0.427 0.288 0.242 0.26 0.033 0.493 0.077 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
55	functions.SPegasos_AUC_top20_20_0.7667_978 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M AUC top20 20 0.7667 0.7546 0.7176 0.7667 0.7425 0.4995 0.2454 0.2575 0.2333 0.7729 0.2271 0.7689 0.4982 [15 6] [8 31] 0.7833 0.7564 0.7229 0.7833 0.7295 0.5189 0.2436 0.747 0.728 0.715 0.747 0.71 0.462 0.272 0.762 0.748 0.724 0.762 0.735 0.499 0.252 0.225 0.253 0.013 0.495 0.024 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
56	functions.SPegasos_MCC_top20_20_0.5167_435 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M MCC top20 20 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.501 0.5 0.561 0.501 0.499 0 0.5 0.561 0.5 0.568 0.561 0.439 0 0.5 0.538 0.499 0.014 0.003 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
57	functions.SimpleLogistic_ACC_top50_50_0.7833_911 functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 -A ACC top50 50 0.7833 0.7802 0.7957 0.7833 0.7295 0.5189 0.2436 0.2705 0.2167 0.7813 0.2188 0.7821 0.5185 [14 7] [6 33] 0.7667 0.7375 0.7433 0.7667 0.6985 0.477 0.2674 0.727 0.768 0.805 0.727 0.69 0.418 0.291 0.736 0.788 0.814 0.736 0.697 0.436 0.283 0.237 0.271 0.021 0.462 0.045 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
58	functions.RBFNetwork_AUC_top10_10_0.8333_597 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top10 10 0.8333 0.8075 0.7957 0.8333 0.7125 0.6319 0.2271 0.2875 0.1667 0.8486 0.1514 0.8215 0.5984 [12 9] [1 38] 0.8167 0.7647 0.7446 0.8167 0.7474 0.5871 0.2179 0.78 0.777 0.798 0.78 0.693 0.51 0.264 0.749 0.748 0.774 0.749 0.648 0.449 0.301 0.229 0.253 0.038 0.544 0.081 1	2	3	4	5	6	7	8	9	10	11	75
59	functions.RBFNetwork_MCC_top15_15_0.7833_200 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top15 15 0.7833 0.6993 0.721 0.7833 0.6636 0.504 0.2766 0.3364 0.2167 0.7837 0.2163 0.7706 0.4841 [11 10] [3 36] 0.75 0.6696 0.6732 0.75 0.6016 0.4193 0.3242 0.733 0.681 0.736 0.733 0.621 0.396 0.323 0.741 0.702 0.745 0.741 0.639 0.423 0.31 0.254 0.308 0.022 0.436 0.047 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
60	functions.RBFNetwork_BER_F_3_0.4667_550 functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 BER F 3 0.4667 0.4945 0.5666 0.4667 0.3172 -0.2288 0.6081 0.6828 0.5333 0.4397 0.5603 0.4516 -0.2261 [3 18] [14 25] 0.5 0.5128 0.5823 0.5 0.4011 -0.0989 0.5495 0.532 0.569 0.654 0.532 0.465 -0.006 0.502 0.551 0.583 0.669 0.551 0.475 0.026 0.487 0.277 0.537 0.055 -0.077 0.114 1	2	4	74	75
61	trees.RandomForest_FDR_F_3_0.6667_180 trees.RandomForest -I 50 -K 0 -S 1 FDR F 3 0.6667 0.765 0.8125 0.6667 0.5788 0.2516 0.3773 0.4212 0.3333 0.6598 0.3402 0.6625 0.2509 [10 11] [9 30] 0.7167 0.7845 0.8205 0.7167 0.6277 0.3584 0.3278 0.71 0.78 0.829 0.71 0.638 0.374 0.326 0.696 0.761 0.805 0.696 0.623 0.337 0.34 0.319 0.343 0.024 0.33 0.055 1	2	6	9	75
62	bayes.BayesNet_BER_top5_5_0.8833_660 bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 BER top5 5 0.8833 0.92 0.9102 0.8833 0.8493 0.7412 0.1337 0.1507 0.1167 0.8825 0.1175 0.8826 0.7407 [17 4] [3 36] 0.8667 0.9292 0.9216 0.8667 0.8403 0.707 0.1465 0.816 0.877 0.856 0.816 0.762 0.617 0.211 0.847 0.908 0.898 0.847 0.819 0.673 0.167 0.133 0.165 0.034 0.685 0.053 1	2	3	4	5	6	75
63	rules.PART_ACC_F_3_0.85_346 rules.PART -M 2 -C 0.25 -Q 1 ACC F 3 0.85 0.8107 0.792 0.85 0.7654 0.6637 0.1923 0.2346 0.15 0.8528 0.1472 0.8444 0.6512 [14 7] [2 37] 0.7833 0.8468 0.872 0.7833 0.6636 0.504 0.2766 0.779 0.74 0.744 0.779 0.691 0.522 0.265 0.748 0.714 0.723 0.748 0.659 0.439 0.296 0.237 0.257 0.045 0.532 0.095 1	2	3	33	75
64	rules.OneR_FDR_top1_1_0.7667_954 rules.OneR -B 6 FDR top1 1 0.7667 0.7216 0.6959 0.7667 0.6766 0.4691 0.2784 0.3234 0.2333 0.761 0.239 0.7601 0.4636 [12 9] [5 34] 0.7667 0.7216 0.6959 0.7667 0.6766 0.4691 0.2784 0.74 0.69 0.683 0.74 0.641 0.403 0.31 0.687 0.64 0.646 0.687 0.594 0.305 0.36 0.32 0.307 0.039 0.412 0.078 1	2	75
65	functions.SimpleLogistic_BER_B_9_0.45_80 functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 BER B 9 0.45 0.4274 0.5409 0.45 0.2423 -0.3669 0.6538 0.7577 0.55 0.3656 0.6344 0.4034 -0.3415 [0 21] [12 27] 0.5167 0.5263 0.5916 0.5167 0.3661 -0.1264 0.5586 0.571 0.592 0.678 0.571 0.475 0.048 0.477 0.586 0.604 0.68 0.586 0.496 0.087 0.459 0.384 0.537 0.089 -0.09 0.207 1	74	71	69	67	62	57	55	47	17	75
66	trees.RandomTree_BER_FB_5_0.5333_472 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 BER FB 5 0.5333 0.4762 0.5347 0.5333 0.419 -0.0488 0.5238 0.581 0.4667 0.5227 0.4773 0.5275 -0.0487 [6 15] [13 26] 0.5333 0.4872 0.5393 0.5333 0.441 -0.0256 0.5128 0.618 0.587 0.611 0.618 0.557 0.175 0.413 0.621 0.587 0.621 0.621 0.552 0.177 0.413 0.393 0.466 0.061 0.069 0.123 1	18	22	23	28	50	75
67	trees.RandomForest_AUC_top5_5_0.8333_162 trees.RandomForest -I 25 -K 0 -S 1 AUC top5 5 0.8333 0.8919 0.8886 0.8333 0.7784 0.6272 0.1941 0.2216 0.1667 0.8312 0.1688 0.8313 0.6255 [15 6] [4 35] 0.8333 0.906 0.9118 0.8333 0.7564 0.6242 0.2051 0.806 0.897 0.904 0.806 0.776 0.585 0.209 0.813 0.885 0.893 0.813 0.776 0.596 0.206 0.171 0.204 0.007 0.608 0.021 1	2	3	4	5	6	75
68	bayes.NaiveBayes_MCC_top25_25_0.7833_980 bayes.NaiveBayes -K MCC top25 25 0.7833 0.7827 0.7679 0.7833 0.7515 0.5293 0.2326 0.2485 0.2167 0.786 0.214 0.7844 0.529 [15 6] [7 32] 0.7833 0.7733 0.7622 0.7833 0.7515 0.5293 0.2326 0.762 0.804 0.83 0.762 0.754 0.502 0.242 0.774 0.797 0.809 0.774 0.747 0.521 0.24 0.176 0.237 0.005 0.52 0.013 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
69	bayes.AveragedNDependenceEstimators.A2DE_ACC_B_8_0.9333_654 bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0 -W ACC B 8 0.9333 0.9481 0.9547 0.9333 0.9201 0.8535 0.0733 0.0799 0.0667 0.9333 0.0667 0.9333 0.8535 [19 2] [2 37] 0.9333 0.9487 0.9588 0.9333 0.9201 0.8535 0.0733 0.759 0.796 0.792 0.759 0.697 0.483 0.272 0.829 0.866 0.881 0.829 0.784 0.635 0.194 0.141 0.153 0.098 0.706 0.181 1	74	17	15	14	10	8	7	6	75
70	lazy.KStar_AUC_B_18_0.8_808 lazy.KStar -B 20 -M a AUC B 18 0.8 0.9634 0.9633 0.8 0.8703 0.6398 0.1648 0.1297 0.2 0.8534 0.1466 0.8045 0.604 [20 1] [11 28] 0.7833 0.9145 0.9061 0.7833 0.8394 0.594 0.1886 0.783 0.892 0.902 0.783 0.846 0.607 0.185 0.78 0.892 0.901 0.78 0.842 0.6 0.189 0.208 0.182 0.012 0.61 0.02 1	74	73	71	70	69	67	64	59	35	33	31	29	27	26	22	20	17	5	75
71	lazy.IBk_MCC_top50_50_0.6833_606 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top50 50 0.6833 0.6795 0.6538 0.6833 0.6756 0.3455 0.3205 0.3244 0.3167 0.7046 0.2954 0.6893 0.3403 [14 7] [12 27] 0.6667 0.6557 0.6365 0.6667 0.6447 0.3012 0.3443 0.678 0.665 0.663 0.678 0.652 0.325 0.335 0.686 0.675 0.7 0.686 0.685 0.361 0.315 0.315 0.329 0.013 0.333 0.026 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
72	lazy.IB1_ACC_B_11_0.9333_503 lazy.IB1 ACC B 11 0.9333 0.9377 0.912 0.9333 0.9421 0.8588 0.0623 0.0579 0.0667 0.9368 0.0632 0.934 0.8566 [20 1] [3 36] 0.9 0.9121 0.8771 0.9 0.9242 0.7974 0.0879 0.806 0.83 0.801 0.806 0.855 0.628 0.17 0.825 0.836 0.804 0.825 0.847 0.65 0.164 0.154 0.121 0.054 0.734 0.112 1	74	73	71	70	59	55	53	46	43	28	12	75
73	lazy.IBk_AUC_top40_40_0.8333_49 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" AUC top40 40 0.8333 0.8608 0.8171 0.8333 0.8883 0.6888 0.1392 0.1117 0.1667 0.8704 0.1296 0.8371 0.6633 [20 1] [9 30] 0.8167 0.837 0.7928 0.8167 0.8573 0.6444 0.163 0.788 0.804 0.777 0.788 0.82 0.585 0.196 0.783 0.788 0.785 0.783 0.814 0.575 0.202 0.16 0.175 0.029 0.623 0.053 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
74	trees.CDT_FDR_top25_25_0.6833_204 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 FDR top25 25 0.6833 0.638 0.6516 0.6833 0.4998 0.2344 0.4084 0.5002 0.3167 0.665 0.335 0.6467 0.2083 [6 15] [4 35] 0.7 0.5977 0.6521 0.7 0.5747 0.3026 0.3626 0.67 0.589 0.622 0.67 0.505 0.18 0.413 0.694 0.658 0.668 0.694 0.608 0.313 0.349 0.305 0.383 0.032 0.258 0.062 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
75	functions.LibLINEAR_AUC_FB_5_0.8833_600 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC FB 5 0.8833 0.8663 0.8367 0.8833 0.8493 0.7412 0.1337 0.1507 0.1167 0.8825 0.1175 0.8826 0.7407 [17 4] [3 36] 0.8667 0.8425 0.8131 0.8667 0.8183 0.7023 0.1575 0.809 0.792 0.77 0.809 0.775 0.607 0.208 0.805 0.788 0.767 0.805 0.772 0.59 0.212 0.173 0.178 0.038 0.66 0.073 1	5	6	11	12	16	75
76	trees.ExtraTree_MCC_top10_10_0.7333_913 trees.ExtraTree -K -1 -N -1 -S 1 MCC top10 10 0.7333 0.7179 0.6858 0.7333 0.7026 0.4276 0.2821 0.2974 0.2667 0.7401 0.2599 0.7359 0.4265 [14 7] [9 30] 0.7 0.6813 0.6563 0.7 0.6626 0.3558 0.3187 0.708 0.684 0.678 0.708 0.661 0.372 0.316 0.716 0.691 0.684 0.716 0.665 0.389 0.309 0.282 0.306 0.017 0.386 0.031 1	2	3	4	5	6	7	8	9	10	11	75
77	misc.HyperPipes_FDR_top25_25_0.8333_67 misc.HyperPipes FDR top25 25 0.8333 0.8883 0.9008 0.8333 0.7125 0.6319 0.2271 0.2875 0.1667 0.8486 0.1514 0.8215 0.5984 [12 9] [1 38] 0.7833 0.8626 0.8743 0.7833 0.6636 0.504 0.2766 0.816 0.896 0.909 0.816 0.735 0.601 0.225 0.813 0.884 0.899 0.813 0.735 0.589 0.226 0.177 0.239 0.025 0.581 0.055 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
78	rules.OneR_ACC_top20_20_0.7167_399 rules.OneR -B 6 ACC top20 20 0.7167 0.6392 0.6334 0.7167 0.5617 0.332 0.3608 0.4383 0.2833 0.7073 0.2927 0.6927 0.3089 [8 13] [4 35] 0.6833 0.6026 0.6053 0.6833 0.5218 0.2446 0.3974 0.686 0.633 0.655 0.686 0.58 0.304 0.367 0.64 0.597 0.622 0.64 0.555 0.211 0.403 0.385 0.382 0.021 0.273 0.055 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
79	rules.PART_MCC_top40_40_0.7167_566 rules.PART -M 2 -C 0.25 -Q 1 MCC top40 40 0.7167 0.6783 0.658 0.7167 0.6496 0.3706 0.3168 0.3504 0.2833 0.7137 0.2863 0.715 0.3704 [12 9] [8 31] 0.7333 0.6801 0.6695 0.7333 0.6806 0.4139 0.293 0.734 0.71 0.705 0.734 0.676 0.423 0.295 0.7 0.688 0.683 0.7 0.672 0.37 0.314 0.297 0.305 0.012 0.394 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	75
80	bayes.BayesNet_ACC_top20_20_0.9167_380 bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.BMAEstimator -- -A 0.5 ACC top20 20 0.9167 0.9634 0.9675 0.9167 0.9112 0.8194 0.0861 0.0888 0.0833 0.9181 0.0819 0.9171 0.8188 [19 2] [3 36] 0.9 0.9585 0.9618 0.9 0.9022 0.787 0.0989 0.836 0.9 0.909 0.836 0.821 0.656 0.171 0.887 0.95 0.957 0.887 0.877 0.763 0.118 0.095 0.118 0.037 0.756 0.071 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
81	rules.Ridor_AUC_top20_20_0.8_968 rules.Ridor -F 3 -S 1 -N 2.0 AUC top20 20 0.8 0.7802 0.744 0.8 0.7604 0.5604 0.2198 0.2396 0.2 0.8 0.2 0.8 0.5604 [15 6] [6 33] 0.8 0.7692 0.7368 0.8 0.7385 0.5521 0.2308 0.703 0.657 0.666 0.703 0.61 0.326 0.343 0.713 0.681 0.681 0.713 0.649 0.377 0.319 0.281 0.278 0.062 0.454 0.12 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
82	rules.NNge_AUC_FB_6_0.85_463 rules.NNge -G 5 -I 5 AUC FB 6 0.85 0.8187 0.7901 0.85 0.7874 0.6634 0.1813 0.2126 0.15 0.8488 0.1512 0.847 0.6591 [15 6] [3 36] 0.75 0.7088 0.683 0.75 0.6676 0.4346 0.2912 0.746 0.706 0.702 0.746 0.665 0.434 0.294 0.736 0.705 0.699 0.736 0.674 0.43 0.295 0.227 0.265 0.056 0.49 0.115 1	2	3	6	20	34	44	75
83	trees.CDT_ACC_top50_50_0.6667_128 trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 ACC top50 50 0.6667 0.6276 0.6425 0.6667 0.4908 0.1942 0.4212 0.5092 0.3333 0.6419 0.3581 0.6335 0.177 [6 15] [5 34] 0.6167 0.5183 0.5979 0.6167 0.4419 0.0699 0.4707 0.647 0.568 0.601 0.647 0.481 0.132 0.436 0.677 0.652 0.655 0.677 0.61 0.296 0.357 0.338 0.421 0.048 0.173 0.096 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
84	rules.NNge_ACC_top20_20_0.7667_242 rules.NNge -G 5 -I 5 ACC top20 20 0.7667 0.6886 0.68 0.7667 0.6106 0.4651 0.3114 0.3894 0.2333 0.7772 0.2228 0.7435 0.4239 [9 12] [2 37] 0.75 0.6758 0.665 0.75 0.6016 0.4193 0.3242 0.765 0.702 0.709 0.765 0.639 0.468 0.298 0.745 0.678 0.69 0.745 0.611 0.405 0.322 0.25 0.314 0.012 0.439 0.032 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	75
85	functions.SPegasos_FDR_B_3_0.4167_753 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N FDR B 3 0.4167 0.3864 0.5042 0.4167 0.3562 -0.2186 0.6136 0.6438 0.5833 0.444 0.556 0.4277 -0.2153 [6 15] [20 19] 0.5 0.4505 0.5247 0.5 0.4011 -0.0989 0.5495 0.552 0.51 0.587 0.552 0.468 0.042 0.49 0.567 0.509 0.568 0.567 0.452 0.042 0.491 0.535 0.536 0.059 -0.058 0.126 1	74	73	38	75
86	trees.J48_AUC_FB_8_0.8833_731 trees.J48 -C 0.25 -M 2 AUC FB 8 0.8833 0.9286 0.9094 0.8833 0.8493 0.7412 0.1337 0.1507 0.1167 0.8825 0.1175 0.8826 0.7407 [17 4] [3 36] 0.8333 0.895 0.8743 0.8333 0.8004 0.6337 0.1832 0.752 0.733 0.73 0.752 0.682 0.458 0.283 0.761 0.75 0.741 0.761 0.7 0.476 0.27 0.224 0.217 0.071 0.577 0.135 1	3	9	18	39	53	55	62	72	75
87	lazy.KStar_ACC_FB_2_0.85_814 lazy.KStar -B 20 -M m ACC FB 2 0.85 0.8535 0.8286 0.85 0.8093 0.6671 0.1703 0.1907 0.15 0.8488 0.1512 0.8491 0.6667 [16 5] [4 35] 0.8333 0.8608 0.838 0.8333 0.8004 0.6337 0.1832 0.788 0.841 0.857 0.788 0.768 0.556 0.222 0.772 0.835 0.858 0.772 0.746 0.52 0.241 0.211 0.204 0.033 0.594 0.068 1	5	16	75
88	rules.JRip_ACC_FB_4_0.8833_997 rules.JRip -F 3 -N 2.0 -O 2 -S 1 ACC FB 4 0.8833 0.801 0.7869 0.8833 0.8273 0.7396 0.1447 0.1727 0.1167 0.8837 0.1163 0.881 0.7348 [16 5] [2 37] 0.85 0.7821 0.7997 0.85 0.7654 0.6637 0.1923 0.764 0.71 0.713 0.764 0.652 0.477 0.292 0.742 0.693 0.702 0.742 0.645 0.419 0.306 0.285 0.234 0.078 0.575 0.152 1	3	6	13	48	75
89	functions.SPegasos_ACC_top10_10_0.5167_264 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N ACC top10 10 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.523 0.5 0.564 0.523 0.477 0 0.5 0.542 0.5 0.564 0.542 0.458 0 0.5 0.539 0.499 0.014 0.003 0.028 1	2	3	4	5	6	7	8	9	10	11	75
90	bayes.AveragedNDependenceEstimators.A2DE_FDR_top25_25_0.9_644 bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 -W FDR top25 25 0.9 0.9634 0.967 0.9 0.8802 0.7802 0.1099 0.1198 0.1 0.9 0.1 0.9 0.7802 [18 3] [3 36] 0.9 0.9573 0.9618 0.9 0.8802 0.7802 0.1099 0.815 0.882 0.892 0.815 0.785 0.61 0.2 0.874 0.942 0.951 0.874 0.855 0.734 0.135 0.097 0.139 0.043 0.726 0.08 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
91	functions.VotedPerceptron_MCC_F_6_0.7333_725 functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 MCC F 6 0.7333 0.6569 0.6922 0.7333 0.5267 0.3864 0.37 0.4733 0.2667 0.766 0.234 0.687 0.3074 [6 15] [1 38] 0.6 0.5796 0.618 0.6 0.4989 0.1014 0.4505 0.588 0.592 0.65 0.588 0.468 0.065 0.472 0.624 0.638 0.686 0.624 0.519 0.154 0.428 0.349 0.43 0.044 0.177 0.144 1	2	4	19	27	54	69	75
92	functions.SPegasos_AUC_FB_3_0.55_352 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N AUC FB 3 0.55 0.544 0.5666 0.55 0.5379 0.084 0.456 0.4621 0.45 0.5844 0.4156 0.56 0.0816 [11 10] [17 22] 0.5167 0.5073 0.5484 0.5167 0.498 0.014 0.4927 0.5 0.493 0.562 0.5 0.486 -0.026 0.507 0.551 0.488 0.546 0.551 0.426 -0.048 0.512 0.548 0.492 0.025 0.006 0.058 1	2	30	33	75
93	bayes.NaiveBayes_FDR_top50_50_0.7667_801 bayes.NaiveBayes FDR top50 50 0.7667 0.7802 0.8069 0.7667 0.7205 0.4872 0.2564 0.2795 0.2333 0.7667 0.2333 0.7667 0.4872 [14 7] [7 32] 0.7167 0.7966 0.819 0.7167 0.6936 0.3994 0.2949 0.759 0.805 0.83 0.759 0.714 0.479 0.264 0.764 0.794 0.819 0.764 0.716 0.485 0.26 0.21 0.269 0.018 0.463 0.042 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	75
94	functions.SMO_AUC_top25_25_0.7833_220 functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "functions.supportVector.PolyKernel -C 250007 -E 1.0" AUC top25 25 0.7833 0.7674 0.7304 0.7833 0.7515 0.5293 0.2326 0.2485 0.2167 0.786 0.214 0.7844 0.529 [15 6] [7 32] 0.75 0.7198 0.69 0.75 0.6896 0.4447 0.2802 0.755 0.756 0.731 0.755 0.756 0.506 0.244 0.767 0.758 0.736 0.767 0.748 0.523 0.242 0.221 0.25 0.021 0.501 0.039 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
95	bayes.AveragedNDependenceEstimators.A1DE_ACC_F_6_0.9167_271 bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 ACC F 6 0.9167 0.9133 0.8992 0.9167 0.8892 0.8154 0.0971 0.1108 0.0833 0.9163 0.0837 0.9162 0.8148 [18 3] [2 37] 0.8833 0.9133 0.9077 0.8833 0.8493 0.7412 0.1337 0.825 0.848 0.84 0.825 0.765 0.621 0.205 0.861 0.909 0.907 0.861 0.84 0.71 0.15 0.116 0.146 0.045 0.722 0.08 1	2	3	4	5	8	54	75
96	functions.MLPClassifier_MCC_FB_3_0.85_105 functions.MLPClassifier -N 2 -R 0.01 -O 1.0E-6 -P 1 -E 1 -S 1 -L weka.classifiers.functions.loss.SquaredError -A weka.classifiers.functions.activation.ApproximateSigmoid MCC FB 3 0.85 0.8034 0.7905 0.85 0.7874 0.6634 0.1813 0.2126 0.15 0.8488 0.1512 0.847 0.6591 [15 6] [3 36] 0.85 0.7814 0.7624 0.85 0.7874 0.6634 0.1813 0.801 0.828 0.859 0.801 0.746 0.566 0.226 0.794 0.805 0.836 0.794 0.739 0.553 0.233 0.185 0.205 0.028 0.611 0.06 1	3	23	26	75
97	functions.SPegasos_AUC_top25_25_0.7667_515 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M AUC top25 25 0.7667 0.7436 0.7098 0.7667 0.7205 0.4872 0.2564 0.2795 0.2333 0.7667 0.2333 0.7667 0.4872 [14 7] [7 32] 0.7333 0.707 0.6781 0.7333 0.6806 0.4139 0.293 0.745 0.727 0.714 0.745 0.71 0.457 0.273 0.75 0.73 0.724 0.75 0.711 0.456 0.27 0.241 0.273 0.015 0.454 0.03 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
98	functions.RBFNetwork_AUC_top15_15_0.7667_343 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top15 15 0.7667 0.7454 0.7462 0.7667 0.6326 0.4623 0.3004 0.3674 0.2333 0.7671 0.2329 0.7501 0.4378 [10 11] [3 36] 0.7667 0.7154 0.7105 0.7667 0.6546 0.464 0.2894 0.761 0.718 0.764 0.761 0.62 0.436 0.309 0.749 0.729 0.759 0.749 0.638 0.437 0.307 0.207 0.301 0.009 0.45 0.015 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	75
99	functions.SPegasos_MCC_top25_25_0.5167_717 functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M MCC top25 25 0.5167 0.4853 0.5385 0.5167 0.454 -0.0285 0.5147 0.546 0.4833 0.5319 0.4681 0.5231 -0.0284 [8 13] [16 23] 0.5333 0.5201 0.5545 0.5333 0.507 0.0386 0.4799 0.533 0.5 0.563 0.533 0.467 0 0.5 0.535 0.5 0.56 0.535 0.465 0 0.5 0.526 0.499 0.014 0.003 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	75
100	rules.RoughSet_FDR_FB_4_0.55_31 rules.RoughSet -D 8 -R 0 -I 0 -X 3 FDR FB 4 0.55 0.489 0.5401 0.55 0.428 -0.0229 0.511 0.572 0.45 0.5345 0.4655 0.541 -0.0227 [6 15] [12 27] 0.65 0.5989 0.5996 0.65 0.5478 0.2059 0.4011 0.672 0.648 0.653 0.676 0.622 0.302 0.351 0.67 0.644 0.647 0.673 0.616 0.3 0.356 0.326 0.405 0.074 0.196 0.153 1	6	11	40	54	75