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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	misc.HyperPipes_AUC_top1_1_0.7903_526 misc.HyperPipes AUC top1 1 0.7903 0.8744 0.8415 0.7903 0.8438 0.6068 0.183 0.1562 0.2097 0.8325 0.1675 0.7948 0.5806 [20 2] [11 29] 0.8065 0.8966 0.8626 0.8065 0.8731 0.6506 0.1602 0.802 0.877 0.852 0.802 0.854 0.632 0.172 0.801 0.891 0.865 0.801 0.861 0.642 0.169 0.194 1	000 0.171 0.009 0.633 0.019 1	2	264
2	trees.J48_ACC_top10_10_0.8548_703 trees.J48 -S -C 0.25 -M 2 ACC top10 10 0.8548 0.9051 0.8883 0.8548 0.7974 0.677 0.1739 0.2026 0.1452 0.854 0.146 0.8522 0.6729 [16 6] [3 37] 0.8387 0.9324 0.915 0.8387 0.809 0.6477 0.1761 0.794 0.796 0.779 0.794 0.766 0.566 0.22 0.79 0.776 0.762 0.79 0.747 0.547 0.231 0.181 1	000 0.2 0.03 0.609 0.063 1	2	3	4	5	6	7	8	9	10	11	264
3	trees.RandomTree_FDR_top100_100_0.8065_19 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 FDR top100 100 0.8065 0.7784 0.744 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.8065 0.8193 0.7747 0.8065 0.8322 0.614 0.1807 0.773 0.747 0.73 0.773 0.722 0.513 0.253 0.787 0.772 0.748 0.787 0.757 0.549 0.228 0.191 1	000 0.221 0.03 0.561 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
4	lazy.IBk_BER_top15_15_0.9032_427 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top15 15 0.9032 0.8943 0.8769 0.9032 0.865 0.7863 0.1159 0.135 0.0968 0.9031 0.0969 0.9021 0.7842 [18 4] [2 38] 0.9032 0.8841 0.8595 0.9032 0.865 0.7863 0.1159 0.883 0.868 0.846 0.883 0.853 0.748 0.132 0.874 0.852 0.85 0.874 0.838 0.731 0.144 0.101 1	000 0.127 0.014 0.763 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	264
5	rules.PART_BER_top50_50_0.7742_202 rules.PART -M 2 -C 0.25 -Q 1 BER top50 50 0.7742 0.7517 0.7337 0.7742 0.7326 0.5068 0.2466 0.2674 0.2258 0.7742 0.2258 0.7742 0.5068 [15 7] [7 33] 0.9032 0.8983 0.9061 0.9032 0.8854 0.7886 0.1057 0.773 0.765 0.744 0.773 0.745 0.519 0.241 0.769 0.75 0.734 0.769 0.726 0.501 0.253 0.213 1	000 0.212 0.071 0.579 0.14 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	264
6	lazy.IBk_MCC_top40_40_0.871_435 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top40 40 0.871 0.8625 0.844 0.871 0.8063 0.7139 0.1614 0.1937 0.129 0.8726 0.1274 0.8676 0.7062 [16 6] [2 38] 0.871 0.8386 0.8139 0.871 0.8063 0.7139 0.1614 0.857 0.828 0.81 0.857 0.8 0.686 0.172 0.872 0.847 0.847 0.872 0.809 0.717 0.159 0.113 1	000 0.163 0.006 0.708 0.015 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	264
7	misc.HyperPipes_AUC_top5_5_0.9194_215 misc.HyperPipes AUC top5 5 0.9194 0.9432 0.9399 0.9194 0.9352 0.8335 0.0727 0.0648 0.0806 0.9258 0.0742 0.9204 0.8291 [21 1] [4 36] 0.9194 0.9489 0.9447 0.9194 0.9352 0.8335 0.0727 0.912 0.953 0.948 0.912 0.912 0.813 0.088 0.91 0.954 0.949 0.91 0.913 0.808 0.089 0.077 1	000 0.081 0.009 0.822 0.013 1	2	3	4	5	6	264
8	trees.J48_ACC_top15_15_0.8226_180 trees.J48 -S -C 0.25 -M 2 ACC top15 15 0.8226 0.8631 0.8401 0.8226 0.7592 0.6038 0.2091 0.2408 0.1774 0.8203 0.1797 0.8193 0.6002 [15 7] [4 36] 0.8387 0.9227 0.8989 0.8387 0.809 0.6477 0.1761 0.791 0.784 0.771 0.791 0.748 0.548 0.23 0.773 0.761 0.748 0.773 0.722 0.506 0.253 0.193 1	000 0.217 0.033 0.576 0.062 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	264
9	functions.SMO_AUC_top20_20_0.871_413 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 0.871 0.8693 0.8318 0.871 0.8677 0.7256 0.1307 0.1323 0.129 0.8751 0.1249 0.8721 0.7238 [19 3] [5 35] 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.903 0.904 0.878 0.903 0.905 0.796 0.096 0.891 0.888 0.862 0.891 0.886 0.766 0.112 0.105 1	000 0.109 0.017 0.771 0.033 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
10	functions.RBFNetwork_MCC_top10_10_0.8065_39 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top10 10 0.8065 0.8691 0.8533 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.871 0.9157 0.896 0.871 0.8268 0.7141 0.1511 0.82 0.82 0.836 0.82 0.792 0.616 0.194 0.833 0.836 0.845 0.833 0.807 0.65 0.18 0.129 1	000 0.187 0.029 0.637 0.061 1	2	3	4	5	6	7	8	9	10	11	264
11	functions.RBFNetwork_FDR_top20_20_0.8065_592 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top20 20 0.8065 0.7708 0.7626 0.8065 0.7299 0.5654 0.2318 0.2701 0.1935 0.8038 0.1962 0.8014 0.5592 [14 8] [4 36] 0.871 0.8874 0.8709 0.871 0.8268 0.7141 0.1511 0.841 0.822 0.839 0.841 0.793 0.65 0.183 0.837 0.835 0.844 0.837 0.794 0.648 0.185 0.126 1	000 0.188 0.033 0.644 0.061 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
12	rules.JRip_BER_top75_75_0.8065_389 rules.JRip -F 3 -N 2.0 -O 2 -S 1 BER top75 75 0.8065 0.8051 0.7873 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.7581 0.7386 0.7681 0.7581 0.6624 0.451 0.2898 0.758 0.741 0.724 0.758 0.723 0.488 0.259 0.763 0.743 0.726 0.763 0.726 0.499 0.256 0.215 1	000 0.257 0.028 0.502 0.05 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
13	lazy.IBk_BER_top20_20_0.9032_856 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top20 20 0.9032 0.883 0.8755 0.9032 0.8445 0.7882 0.1261 0.1555 0.0968 0.907 0.093 0.9007 0.7796 [17 5] [1 39] 0.9032 0.8739 0.8555 0.9032 0.8445 0.7882 0.1261 0.884 0.861 0.842 0.884 0.838 0.748 0.139 0.864 0.838 0.84 0.864 0.816 0.701 0.16 0.107 1	000 0.138 0.016 0.756 0.041 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
14	misc.HyperPipes_AUC_top10_10_0.9194_918 misc.HyperPipes AUC top10 10 0.9194 0.9136 0.8936 0.9194 0.9352 0.8335 0.0727 0.0648 0.0806 0.9258 0.0742 0.9204 0.8291 [21 1] [4 36] 0.9194 0.9148 0.9003 0.9194 0.9352 0.8335 0.0727 0.904 0.93 0.933 0.904 0.903 0.802 0.097 0.887 0.922 0.922 0.887 0.883 0.767 0.115 0.081 1	000 0.089 0.021 0.809 0.032 1	2	3	4	5	6	7	8	9	10	11	264
15	functions.RBFNetwork_AUC_top50_50_0.8065_726 functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top50 50 0.8065 0.7823 0.7834 0.8065 0.7299 0.5654 0.2318 0.2701 0.1935 0.8038 0.1962 0.8014 0.5592 [14 8] [4 36] 0.7903 0.775 0.7355 0.7903 0.721 0.5307 0.2443 0.819 0.854 0.865 0.819 0.756 0.601 0.212 0.827 0.85 0.852 0.827 0.778 0.626 0.197 0.154 1	000 0.221 0.021 0.581 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	264
16	bayes.NaiveBayes_MCC_top20_20_0.8871_888 bayes.NaiveBayes -K MCC top20 20 0.8871 0.9193 0.9028 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.8871 0.9216 0.9051 0.8871 0.8765 0.7564 0.1182 0.889 0.932 0.933 0.889 0.884 0.757 0.114 0.897 0.934 0.934 0.897 0.893 0.779 0.105 0.1 1	000 0.114 0.006 0.762 0.011 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
17	rules.PART_BER_top75_75_0.7903_511 rules.PART -M 2 -C 0.25 -Q 1 BER top75 75 0.7903 0.7943 0.7839 0.7903 0.762 0.547 0.2239 0.238 0.2097 0.7928 0.2072 0.7913 0.5467 [16 6] [7 33] 0.9032 0.8983 0.9061 0.9032 0.8854 0.7886 0.1057 0.762 0.742 0.733 0.762 0.722 0.492 0.258 0.77 0.754 0.738 0.77 0.731 0.497 0.249 0.219 1	000 0.209 0.07 0.581 0.141 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
18	trees.J48_ACC_top20_20_0.8226_267 trees.J48 -S -C 0.25 -M 2 ACC top20 20 0.8226 0.8631 0.8403 0.8226 0.7592 0.6038 0.2091 0.2408 0.1774 0.8203 0.1797 0.8193 0.6002 [15 7] [4 36] 0.8387 0.9324 0.915 0.8387 0.809 0.6477 0.1761 0.78 0.763 0.747 0.78 0.728 0.526 0.246 0.773 0.761 0.75 0.773 0.731 0.511 0.248 0.199 1	000 0.22 0.034 0.572 0.065 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
19	lazy.IBk_MCC_top50_50_0.8871_784 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top50 50 0.8871 0.867 0.8503 0.8871 0.8356 0.7501 0.1386 0.1644 0.1129 0.8876 0.1124 0.885 0.7456 [17 5] [2 38] 0.871 0.8489 0.8186 0.871 0.8268 0.7141 0.1511 0.873 0.849 0.829 0.873 0.826 0.721 0.151 0.866 0.834 0.839 0.866 0.814 0.7 0.16 0.105 1	000 0.15 0.009 0.721 0.021 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	264
20	trees.DecisionStump_ACC_FB_2_0.8548_256 trees.DecisionStump ACC FB 2 0.8548 0.8216 0.7865 0.8548 0.8793 0.7084 0.133 0.1207 0.1452 0.8711 0.1289 0.8574 0.6984 [20 2] [7 33] 0.871 0.7727 0.8394 0.871 0.8881 0.736 0.1205 0.791 0.799 0.769 0.791 0.806 0.594 0.201 0.806 0.806 0.778 0.806 0.806 0.61 0.194 0.178 1	000 0.162 0.041 0.662 0.071 1	3	5	264
21	lazy.IB1_ACC_FB_6_0.9677_324 lazy.IB1 ACC FB 6 0.9677 0.9648 0.9527 0.9677 0.9618 0.9295 0.0352 0.0382 0.0323 0.9677 0.0323 0.9677 0.9295 [21 1] [1 39] 0.9677 0.9648 0.9527 0.9677 0.9618 0.9295 0.0352 0.919 0.909 0.892 0.919 0.899 0.826 0.091 0.907 0.901 0.882 0.907 0.896 0.806 0.099 0.057 1	000 0.065 0.035 0.873 0.066 1	3	5	24	38	59	91	264
22	misc.HyperPipes_AUC_top15_15_0.9032_111 misc.HyperPipes AUC top15 15 0.9032 0.9097 0.8868 0.9032 0.9059 0.7948 0.0955 0.0941 0.0968 0.9069 0.0931 0.9041 0.7929 [20 2] [4 36] 0.9032 0.9165 0.8909 0.9032 0.9059 0.7948 0.0955 0.885 0.929 0.929 0.885 0.87 0.754 0.122 0.895 0.936 0.937 0.895 0.887 0.785 0.109 0.084 1	000 0.105 0.013 0.782 0.019 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	264
23	functions.RBFNetwork_MCC_top15_15_0.8226_924 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top15 15 0.8226 0.8308 0.8442 0.8226 0.7388 0.6021 0.2193 0.2612 0.1774 0.8227 0.1773 0.8164 0.5916 [14 8] [3 37] 0.8226 0.7979 0.7942 0.8226 0.7592 0.6038 0.2091 0.809 0.793 0.814 0.809 0.759 0.582 0.216 0.82 0.839 0.843 0.82 0.775 0.612 0.202 0.139 1	000 0.212 0.008 0.6 0.013 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	264
24	functions.RBFNetwork_FDR_top25_25_0.8548_906 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top25 25 0.8548 0.7962 0.8027 0.8548 0.7974 0.677 0.1739 0.2026 0.1452 0.854 0.146 0.8522 0.6729 [16 6] [3 37] 0.8871 0.8718 0.8429 0.8871 0.8561 0.7513 0.1284 0.839 0.799 0.821 0.839 0.784 0.642 0.188 0.849 0.829 0.839 0.849 0.809 0.674 0.171 0.134 1	000 0.165 0.026 0.686 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	264
25	trees.J48_ACC_top25_25_0.8226_244 trees.J48 -S -C 0.25 -M 2 ACC top25 25 0.8226 0.8631 0.8403 0.8226 0.7592 0.6038 0.2091 0.2408 0.1774 0.8203 0.1797 0.8193 0.6002 [15 7] [4 36] 0.8387 0.9324 0.915 0.8387 0.809 0.6477 0.1761 0.77 0.756 0.74 0.77 0.737 0.511 0.247 0.76 0.744 0.731 0.76 0.717 0.482 0.262 0.225 1	000 0.224 0.039 0.561 0.078 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	264
26	trees.J48_AUC_F_8_0.9032_970 trees.J48 -C 0.25 -M 2 AUC F 8 0.9032 0.9625 0.9518 0.9032 0.9059 0.7948 0.0955 0.0941 0.0968 0.9069 0.0931 0.9041 0.7929 [20 2] [4 36] 0.9194 0.9705 0.9735 0.9194 0.9147 0.8261 0.083 0.819 0.815 0.796 0.819 0.803 0.621 0.189 0.818 0.816 0.796 0.818 0.806 0.62 0.188 0.14 1	000 0.139 0.058 0.715 0.11 1	2	3	5	6	11	25	54	76	264
27	lazy.IBk_BER_top25_25_0.9194_622 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top25 25 0.9194 0.9102 0.9021 0.9194 0.8738 0.8232 0.1034 0.1262 0.0806 0.9213 0.0787 0.9179 0.8183 [18 4] [1 39] 0.9194 0.8966 0.8789 0.9194 0.8738 0.8232 0.1034 0.863 0.844 0.822 0.863 0.826 0.702 0.156 0.875 0.849 0.85 0.875 0.821 0.724 0.152 0.097 1	000 0.129 0.029 0.768 0.064 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	264
28	trees.RandomTree_BER_F_10_0.6935_148 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 BER F 10 0.6935 0.6602 0.6395 0.6935 0.6269 0.324 0.3398 0.3731 0.3065 0.6906 0.3094 0.6919 0.3238 [12 10] [9 31] 0.8226 0.8011 0.7649 0.8226 0.7797 0.6089 0.1989 0.766 0.75 0.733 0.766 0.733 0.508 0.25 0.785 0.76 0.737 0.785 0.736 0.539 0.24 0.193 1	000 0.257 0.059 0.495 0.122 1	2	5	7	16	21	22	23	39	72	79	264
29	rules.PART_BER_top100_100_0.7581_234 rules.PART -M 2 -C 0.25 -Q 1 BER top100 100 0.7581 0.746 0.7216 0.7581 0.7238 0.4772 0.2591 0.2762 0.2419 0.7608 0.2392 0.7592 0.4769 [15 7] [8 32] 0.871 0.8994 0.8823 0.871 0.8472 0.7182 0.1409 0.766 0.754 0.733 0.766 0.726 0.5 0.254 0.763 0.742 0.729 0.763 0.72 0.485 0.258 0.225 1	000 0.228 0.058 0.545 0.116 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
30	functions.SMO_AUC_top25_25_0.8871_324 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 0.8871 0.8818 0.8479 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.894 0.884 0.861 0.894 0.874 0.77 0.116 0.879 0.874 0.843 0.879 0.869 0.749 0.126 0.103 1	000 0.116 0.008 0.766 0.017 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	264
31	rules.JRip_BER_top100_100_0.8065_583 rules.JRip -F 3 -N 2.0 -O 2 -S 1 BER top100 100 0.8065 0.7102 0.717 0.8065 0.7299 0.5654 0.2318 0.2701 0.1935 0.8038 0.1962 0.8014 0.5592 [14 8] [4 36] 0.8065 0.7352 0.7361 0.8065 0.7504 0.5699 0.2216 0.765 0.744 0.728 0.765 0.723 0.496 0.256 0.758 0.739 0.726 0.758 0.721 0.491 0.261 0.209 1	000 0.243 0.019 0.531 0.043 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
32	lazy.IBk_MCC_top75_75_0.871_565 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top75 75 0.871 0.8625 0.844 0.871 0.8063 0.7139 0.1614 0.1937 0.129 0.8726 0.1274 0.8676 0.7062 [16 6] [2 38] 0.8548 0.8261 0.7964 0.8548 0.7974 0.677 0.1739 0.845 0.82 0.8 0.845 0.796 0.664 0.18 0.839 0.804 0.808 0.839 0.777 0.646 0.192 0.117 1	000 0.177 0.013 0.675 0.029 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
33	misc.HyperPipes_AUC_top20_20_0.9032_249 misc.HyperPipes AUC top20 20 0.9032 0.9051 0.8814 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.9165 0.8974 0.9032 0.8854 0.7886 0.1057 0.886 0.935 0.934 0.886 0.873 0.76 0.12 0.895 0.934 0.934 0.895 0.879 0.776 0.113 0.087 1	000 0.111 0.007 0.778 0.014 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
34	trees.LMT_FDR_top25_25_0.8548_109 trees.LMT -I -1 -M 15 -W 0.0 FDR top25 25 0.8548 0.9011 0.8995 0.8548 0.8179 0.6801 0.1636 0.1821 0.1452 0.8537 0.1463 0.854 0.6797 [17 5] [4 36] 0.8065 0.8852 0.8806 0.8065 0.7504 0.5699 0.2216 0.84 0.901 0.911 0.84 0.815 0.66 0.172 0.837 0.902 0.912 0.837 0.814 0.657 0.175 0.131 1	000 0.183 0.026 0.642 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	264
35	functions.LibLINEAR_AUC_F_4_0.9032_634 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC F 4 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.0941 0.0968 0.9069 0.0931 0.9041 0.7929 [20 2] [4 36] 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.882 0.875 0.85 0.882 0.869 0.746 0.125 0.89 0.89 0.863 0.89 0.891 0.768 0.11 0.113 1	000 0.106 0.014 0.776 0.024 1	2	3	4	5	264
36	bayes.NaiveBayes_MCC_top25_25_0.8871_697 bayes.NaiveBayes -K MCC top25 25 0.8871 0.9239 0.9082 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.8871 0.9273 0.9086 0.8871 0.8765 0.7564 0.1182 0.895 0.94 0.941 0.895 0.889 0.776 0.108 0.893 0.935 0.931 0.893 0.882 0.773 0.113 0.096 1	000 0.114 0.005 0.765 0.011 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	264
37	functions.RBFNetwork_AUC_top75_75_0.8065_284 functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top75 75 0.8065 0.8108 0.7965 0.8065 0.7095 0.5641 0.242 0.2905 0.1935 0.8072 0.1928 0.7979 0.5496 [13 9] [3 37] 0.7903 0.8288 0.8028 0.7903 0.6801 0.5256 0.2648 0.808 0.854 0.864 0.808 0.77 0.59 0.211 0.82 0.84 0.839 0.82 0.796 0.624 0.192 0.147 1	000 0.227 0.032 0.576 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
38	trees.J48_ACC_top30_30_0.8065_628 trees.J48 -S -C 0.25 -M 2 ACC top30 30 0.8065 0.8227 0.7964 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.8387 0.9227 0.8988 0.8387 0.809 0.6477 0.1761 0.765 0.762 0.743 0.765 0.717 0.501 0.259 0.763 0.753 0.741 0.763 0.728 0.492 0.255 0.199 1	000 0.228 0.038 0.553 0.072 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	264
39	functions.MultilayerPerceptronCS_ACC_top5_5_0.8226_119 functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a ACC top5 5 0.8226 0.8852 0.8829 0.8226 0.8206 0.6273 0.1784 0.1794 0.1774 0.8309 0.1691 0.8248 0.624 [18 4] [7 33] 0.8226 0.8739 0.8917 0.8226 0.8001 0.6168 0.1886 0.842 0.927 0.935 0.842 0.856 0.676 0.151 0.842 0.924 0.931 0.842 0.843 0.678 0.157 0.139 1	000 0.169 0.018 0.65 0.032 1	2	3	4	5	6	264
40	functions.RBFNetwork_FDR_top30_30_0.8387_120 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top30 30 0.8387 0.7566 0.7663 0.8387 0.7681 0.6396 0.1966 0.2319 0.1613 0.8382 0.1618 0.8345 0.6327 [15 7] [3 37] 0.8548 0.8352 0.821 0.8548 0.7974 0.677 0.1739 0.833 0.803 0.827 0.833 0.789 0.644 0.189 0.844 0.831 0.839 0.844 0.797 0.659 0.179 0.141 1	000 0.185 0.01 0.655 0.017 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	264
41	lazy.IBk_BER_top30_30_0.8871_228 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top30 30 0.8871 0.867 0.8503 0.8871 0.8356 0.7501 0.1386 0.1644 0.1129 0.8876 0.1124 0.885 0.7456 [17 5] [2 38] 0.8871 0.8614 0.8364 0.8871 0.8356 0.7501 0.1386 0.866 0.845 0.823 0.866 0.824 0.71 0.155 0.86 0.824 0.831 0.86 0.811 0.697 0.165 0.108 1	000 0.149 0.013 0.727 0.027 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	264
42	functions.RBFNetwork_MCC_top20_20_0.8387_373 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top20 20 0.8387 0.8011 0.8146 0.8387 0.7477 0.6412 0.2068 0.2523 0.1613 0.8434 0.1566 0.8316 0.6247 [14 8] [2 38] 0.8548 0.8821 0.8504 0.8548 0.8179 0.6801 0.1636 0.838 0.842 0.855 0.838 0.777 0.641 0.192 0.827 0.825 0.829 0.827 0.795 0.633 0.189 0.138 1	000 0.188 0.018 0.649 0.021 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	264
43	misc.HyperPipes_AUC_top25_25_0.9032_514 misc.HyperPipes AUC top25 25 0.9032 0.904 0.8835 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.9097 0.8922 0.9032 0.8854 0.7886 0.1057 0.891 0.928 0.928 0.891 0.876 0.769 0.116 0.888 0.936 0.935 0.888 0.866 0.761 0.123 0.089 1	000 0.113 0.008 0.777 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	264
44	functions.SMO_AUC_top30_30_0.9032_605 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 top30 30 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.886 0.877 0.85 0.886 0.869 0.757 0.123 0.873 0.863 0.841 0.873 0.854 0.725 0.137 0.105 1	000 0.118 0.015 0.765 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	27	28	29	30	31	264
45	lazy.IBk_MCC_top100_100_0.8065_908 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top100 100 0.8065 0.8352 0.8095 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.8065 0.7784 0.744 0.8065 0.7504 0.5699 0.2216 0.83 0.81 0.784 0.83 0.789 0.631 0.19 0.845 0.823 0.823 0.845 0.808 0.668 0.174 0.135 1	000 0.202 0.024 0.61 0.048 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
46	trees.J48_ACC_top40_40_0.8226_414 trees.J48 -S -C 0.25 -M 2 ACC top40 40 0.8226 0.8386 0.817 0.8226 0.7592 0.6038 0.2091 0.2408 0.1774 0.8203 0.1797 0.8193 0.6002 [15 7] [4 36] 0.8548 0.9278 0.9029 0.8548 0.8179 0.6801 0.1636 0.765 0.757 0.743 0.765 0.716 0.499 0.259 0.775 0.76 0.739 0.775 0.742 0.525 0.242 0.22 1	000 0.218 0.042 0.577 0.082 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	264
47	lazy.IB1_ACC_B_6_0.9677_500 lazy.IB1 ACC B 6 0.9677 0.9648 0.9527 0.9677 0.9618 0.9295 0.0352 0.0382 0.0323 0.9677 0.0323 0.9677 0.9295 [21 1] [1 39] 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.834 0.835 0.806 0.834 0.835 0.663 0.165 0.835 0.826 0.799 0.835 0.817 0.651 0.174 0.133 1	000 0.117 0.065 0.76 0.131 1	263	257	255	228	225	141	264
48	functions.RBFNetwork_BER_B_9_0.5323_677 functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 BER B 9 0.5323 0.6307 0.6867 0.5323 0.3746 -0.1041 0.5466 0.6254 0.4677 0.4927 0.5073 0.5068 -0.1004 [4 18] [11 29] 0.5968 0.6898 0.7145 0.5968 0.4919 0.092 0.4557 0.657 0.734 0.784 0.657 0.569 0.238 0.387 0.645 0.74 0.779 0.645 0.564 0.222 0.395 0.36 1	000 0.446 0.074 0.112 0.158 1	263	262	260	248	236	224	200	190	55	264
49	functions.RBFClassifier_BER_top40_40_0.8871_672 functions.RBFClassifier -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 BER top40 40 0.8871 0.8807 0.8731 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.9032 0.8716 0.8602 0.9032 0.8854 0.7886 0.1057 0.895 0.91 0.916 0.895 0.888 0.779 0.109 0.884 0.904 0.909 0.884 0.865 0.748 0.126 0.111 1	000 0.115 0.009 0.768 0.019 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	264
50	trees.DecisionStump_ACC_B_11_0.8548_131 trees.DecisionStump ACC B 11 0.8548 0.8216 0.7865 0.8548 0.8793 0.7084 0.133 0.1207 0.1452 0.8711 0.1289 0.8574 0.6984 [20 2] [7 33] 0.871 0.7727 0.8394 0.871 0.8881 0.736 0.1205 0.81 0.82 0.79 0.81 0.83 0.627 0.18 0.792 0.801 0.769 0.792 0.803 0.583 0.203 0.183 1	000 0.159 0.039 0.664 0.071 1	263	253	250	243	209	162	115	52	31	13	3	264
51	bayes.NaiveBayes_MCC_top30_30_0.8871_425 bayes.NaiveBayes -K MCC top30 30 0.8871 0.9265 0.9107 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.8871 0.9299 0.9133 0.8871 0.8765 0.7564 0.1182 0.894 0.937 0.938 0.894 0.884 0.771 0.111 0.876 0.923 0.919 0.876 0.86 0.732 0.132 0.101 1	000 0.12 0.009 0.754 0.016 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	264
52	lazy.IBk_BER_top40_40_0.8548_310 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top40 40 0.8548 0.8591 0.8288 0.8548 0.8383 0.6866 0.1534 0.1617 0.1452 0.8567 0.1433 0.8555 0.6862 [18 4] [5 35] 0.8387 0.8239 0.7865 0.8387 0.809 0.6477 0.1761 0.82 0.802 0.776 0.82 0.783 0.615 0.198 0.816 0.803 0.802 0.816 0.779 0.607 0.202 0.156 1	000 0.182 0.022 0.639 0.036 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	264
53	misc.HyperPipes_AUC_top30_30_0.9032_508 misc.HyperPipes AUC top30 30 0.9032 0.9006 0.8889 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.908 0.89 0.9032 0.8854 0.7886 0.1057 0.875 0.919 0.921 0.875 0.848 0.73 0.138 0.877 0.932 0.933 0.877 0.853 0.737 0.135 0.094 1	000 0.121 0.018 0.761 0.032 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	264
54	functions.RBFNetwork_MCC_top25_25_0.7903_736 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top25 25 0.7903 0.7489 0.7293 0.7903 0.721 0.5307 0.2443 0.279 0.2097 0.7866 0.2134 0.7864 0.5275 [14 8] [5 35] 0.8548 0.917 0.902 0.8548 0.8179 0.6801 0.1636 0.803 0.793 0.82 0.803 0.757 0.582 0.22 0.807 0.836 0.845 0.807 0.748 0.575 0.223 0.167 1	000 0.213 0.034 0.592 0.063 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	264
55	trees.RandomTree_BER_FB_7_0.6452_418 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 BER FB 7 0.6452 0.6125 0.6052 0.6452 0.5798 0.225 0.3875 0.4202 0.3548 0.6452 0.3548 0.6452 0.225 [11 11] [11 29] 0.7419 0.708 0.6788 0.7419 0.674 0.4257 0.292 0.755 0.735 0.72 0.755 0.715 0.471 0.265 0.759 0.739 0.719 0.759 0.72 0.482 0.261 0.196 1	000 0.301 0.059 0.401 0.12 1	5	7	14	18	19	146	171	264
56	functions.RBFNetwork_FDR_top40_40_0.871_528 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top40 40 0.871 0.8093 0.8082 0.871 0.8268 0.7141 0.1511 0.1732 0.129 0.87 0.13 0.8695 0.7123 [17 5] [3 37] 0.8387 0.775 0.7654 0.8387 0.7681 0.6396 0.1966 0.834 0.825 0.839 0.834 0.792 0.645 0.187 0.829 0.835 0.845 0.829 0.774 0.632 0.198 0.149 1	000 0.183 0.022 0.658 0.038 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	264
57	trees.J48_AUC_FB_4_0.9032_120 trees.J48 -C 0.25 -M 2 AUC FB 4 0.9032 0.9716 0.9585 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9355 0.9636 0.9514 0.9355 0.9032 0.8584 0.0807 0.855 0.868 0.847 0.855 0.846 0.692 0.15 0.865 0.873 0.849 0.865 0.866 0.726 0.134 0.129 1	000 0.118 0.031 0.766 0.073 1	2	6	83	84	264
58	functions.RBFNetwork_AUC_top100_100_0.7903_626 functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 AUC top100 100 0.7903 0.7829 0.7552 0.7903 0.7006 0.5265 0.2545 0.2994 0.2097 0.7875 0.2125 0.783 0.5174 [13 9] [4 36] 0.8548 0.8201 0.7881 0.8548 0.7974 0.677 0.1739 0.813 0.855 0.865 0.813 0.779 0.596 0.204 0.805 0.835 0.836 0.805 0.753 0.58 0.221 0.138 1	000 0.213 0.034 0.595 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	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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
59	trees.J48_ACC_top50_50_0.7581_869 trees.J48 -S -C 0.25 -M 2 ACC top50 50 0.7581 0.7511 0.7271 0.7581 0.7238 0.4772 0.2591 0.2762 0.2419 0.7608 0.2392 0.7592 0.4769 [15 7] [8 32] 0.871 0.8983 0.9063 0.871 0.8677 0.7256 0.1307 0.769 0.753 0.737 0.769 0.741 0.51 0.245 0.761 0.746 0.731 0.761 0.722 0.493 0.259 0.205 1	000 0.223 0.062 0.551 0.117 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	264
60	rules.PART_ACC_F_6_0.9194_568 rules.PART -M 2 -C 0.25 -Q 1 ACC F 6 0.9194 0.9631 0.9585 0.9194 0.9147 0.8261 0.083 0.0853 0.0806 0.9206 0.0794 0.9197 0.8256 [20 2] [3 37] 0.8871 0.9233 0.9181 0.8871 0.8765 0.7564 0.1182 0.855 0.86 0.835 0.855 0.853 0.708 0.146 0.827 0.818 0.809 0.827 0.801 0.636 0.186 0.143 1	000 0.133 0.044 0.732 0.08 1	2	3	6	26	46	108	264
61	rules.JRip_ACC_F_7_0.9516_951 rules.JRip -F 3 -N 2.0 -O 2 -S 1 ACC F 7 0.9516 0.917 0.908 0.9516 0.9325 0.8938 0.058 0.0675 0.0484 0.9516 0.0484 0.9513 0.8932 [20 2] [1 39] 0.871 0.8108 0.8408 0.871 0.8063 0.7139 0.1614 0.835 0.82 0.799 0.835 0.804 0.657 0.181 0.841 0.824 0.805 0.841 0.803 0.665 0.178 0.132 1	000 0.145 0.058 0.732 0.11 1	2	3	10	13	67	112	119	264
62	functions.RBFNetwork_FDR_F_3_0.6613_263 functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR F 3 0.6613 0.7868 0.802 0.6613 0.5683 0.2382 0.3852 0.4317 0.3387 0.6519 0.3481 0.655 0.2368 [10 12] [9 31] 0.7258 0.8122 0.8103 0.7258 0.6446 0.3845 0.3148 0.762 0.802 0.823 0.762 0.718 0.487 0.26 0.762 0.805 0.82 0.762 0.703 0.478 0.268 0.213 1	000 0.307 0.057 0.397 0.116 1	2	61	91	264
63	misc.HyperPipes_AUC_top40_40_0.9032_21 misc.HyperPipes AUC top40 40 0.9032 0.8955 0.881 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8955 0.8736 0.9032 0.8854 0.7886 0.1057 0.88 0.932 0.931 0.88 0.858 0.745 0.131 0.877 0.916 0.916 0.877 0.861 0.739 0.131 0.096 1	000 0.118 0.015 0.765 0.027 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	264
64	rules.RoughSet_FDR_F_17_0.5484_345 rules.RoughSet -D 8 -R 0 -I 0 -X 3 FDR F 17 0.5484 0.5273 0.5553 0.5484 0.5062 0.0529 0.4727 0.4938 0.4516 0.5666 0.4334 0.5553 0.0524 [10 12] [16 24] 0.6774 0.6477 0.6298 0.6774 0.618 0.2955 0.3523 0.77 0.753 0.732 0.772 0.734 0.511 0.247 0.784 0.769 0.745 0.784 0.754 0.539 0.231 0.195 1	000 0.326 0.112 0.35 0.226 1	2	3	16	18	20	21	39	47	60	71	74	108	124	134	136	170	194	264
65	functions.SMO_AUC_top40_40_0.9032_659 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 top40 40 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.901 0.893 0.871 0.901 0.885 0.786 0.107 0.875 0.869 0.84 0.875 0.862 0.733 0.131 0.114 1	000 0.112 0.012 0.774 0.027 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	264
66	functions.LibLINEAR_AUC_FB_3_0.9355_224 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC FB 3 0.9355 0.9398 0.9144 0.9355 0.9441 0.864 0.0602 0.0559 0.0645 0.9387 0.0613 0.9361 0.8619 [21 1] [3 37] 0.9355 0.9398 0.9144 0.9355 0.9441 0.864 0.0602 0.915 0.919 0.894 0.915 0.923 0.823 0.081 0.907 0.903 0.881 0.907 0.899 0.802 0.097 0.083 1	000 0.075 0.018 0.838 0.031 1	3	5	44	264
67	lazy.IBk_BER_top50_50_0.8387_418 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top50 50 0.8387 0.8432 0.8174 0.8387 0.7886 0.642 0.1864 0.2114 0.1613 0.8369 0.1631 0.8368 0.6404 [16 6] [4 36] 0.8548 0.8364 0.802 0.8548 0.8179 0.6801 0.1636 0.841 0.82 0.795 0.841 0.8 0.653 0.18 0.845 0.823 0.822 0.845 0.797 0.66 0.179 0.124 1	000 0.177 0.01 0.659 0.016 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	264
68	trees.LMT_FDR_top30_30_0.8871_175 trees.LMT -I -1 -M 15 -W 0.0 FDR top30 30 0.8871 0.8852 0.8825 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.8065 0.8932 0.8901 0.8065 0.7504 0.5699 0.2216 0.837 0.902 0.913 0.837 0.801 0.644 0.181 0.855 0.904 0.916 0.855 0.831 0.69 0.157 0.126 1	000 0.169 0.043 0.665 0.078 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	264
69	functions.RBFNetwork_MCC_top30_30_0.8065_154 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top30 30 0.8065 0.7959 0.7748 0.8065 0.7504 0.5699 0.2216 0.2496 0.1935 0.8038 0.1962 0.8042 0.5684 [15 7] [5 35] 0.871 0.898 0.8742 0.871 0.8472 0.7182 0.1409 0.809 0.81 0.831 0.809 0.759 0.59 0.216 0.823 0.816 0.826 0.823 0.77 0.614 0.203 0.15 1	000 0.195 0.037 0.623 0.066 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	264
70	trees.J48_ACC_top75_75_0.7742_745 trees.J48 -S -C 0.25 -M 2 ACC top75 75 0.7742 0.7903 0.7646 0.7742 0.7531 0.5179 0.2364 0.2469 0.2258 0.7799 0.2201 0.7762 0.5167 [16 6] [8 32] 0.871 0.9199 0.9235 0.871 0.8677 0.7256 0.1307 0.749 0.743 0.724 0.749 0.725 0.466 0.263 0.76 0.744 0.732 0.76 0.722 0.489 0.259 0.22 1	000 0.222 0.062 0.55 0.119 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
71	functions.RBFNetwork_FDR_top50_50_0.8387_309 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top50 50 0.8387 0.7497 0.7355 0.8387 0.7681 0.6396 0.1966 0.2319 0.1613 0.8382 0.1618 0.8345 0.6327 [15 7] [3 37] 0.871 0.8517 0.8408 0.871 0.8268 0.7141 0.1511 0.826 0.821 0.838 0.826 0.769 0.624 0.203 0.841 0.836 0.843 0.841 0.785 0.642 0.187 0.129 1	000 0.184 0.023 0.655 0.04 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	264
72	misc.HyperPipes_AUC_top50_50_0.9032_742 misc.HyperPipes AUC top50 50 0.9032 0.9051 0.8865 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.9017 0.8736 0.9032 0.8854 0.7886 0.1057 0.886 0.929 0.927 0.886 0.861 0.752 0.127 0.877 0.923 0.923 0.877 0.845 0.728 0.139 0.089 1	000 0.119 0.017 0.764 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	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	264
73	bayes.NaiveBayes_MCC_top40_40_0.8871_814 bayes.NaiveBayes -K MCC top40 40 0.8871 0.8946 0.8883 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.8871 0.9112 0.8969 0.8871 0.8765 0.7564 0.1182 0.89 0.919 0.913 0.89 0.891 0.767 0.11 0.897 0.913 0.906 0.897 0.877 0.769 0.113 0.101 1	000 0.115 0.004 0.762 0.007 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	264
74	trees.DecisionStump_ACC_BF_1_0.8548_443 trees.DecisionStump ACC BF 1 0.8548 0.8216 0.7865 0.8548 0.8793 0.7084 0.133 0.1207 0.1452 0.8711 0.1289 0.8574 0.6984 [20 2] [7 33] 0.871 0.7727 0.8394 0.871 0.8881 0.736 0.1205 0.835 0.849 0.817 0.835 0.856 0.67 0.155 0.826 0.841 0.809 0.826 0.851 0.66 0.162 0.158 1	000 0.143 0.019 0.694 0.035 1	3	264
75	lazy.IB1_ACC_BF_6_0.9677_779 lazy.IB1 ACC BF 6 0.9677 0.9648 0.9527 0.9677 0.9618 0.9295 0.0352 0.0382 0.0323 0.9677 0.0323 0.9677 0.9295 [21 1] [1 39] 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.835 0.83 0.8 0.835 0.824 0.655 0.17 0.836 0.832 0.804 0.836 0.829 0.658 0.168 0.136 1	000 0.117 0.065 0.759 0.131 1	263	257	255	228	225	141	264
76	lazy.IBk_BER_top75_75_0.8065_996 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top75 75 0.8065 0.8239 0.7936 0.8065 0.7708 0.5773 0.2114 0.2292 0.1935 0.8065 0.1935 0.8065 0.5773 [16 6] [6 34] 0.8226 0.8114 0.7718 0.8226 0.8001 0.6168 0.1886 0.842 0.832 0.805 0.842 0.821 0.659 0.168 0.838 0.826 0.815 0.838 0.806 0.657 0.178 0.132 1	000 0.186 0.019 0.628 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	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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
77	trees.RandomTree_BER_B_6_0.5323_157 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 BER B 6 0.5323 0.4534 0.5233 0.5323 0.3746 -0.1041 0.5466 0.6254 0.4677 0.4927 0.5073 0.5068 -0.1004 [4 18] [11 29] 0.6774 0.658 0.6365 0.6774 0.6385 0.3103 0.342 0.644 0.619 0.626 0.644 0.593 0.235 0.381 0.685 0.667 0.662 0.685 0.649 0.335 0.333 0.374 1	000 0.401 0.1 0.194 0.203 1	263	262	261	258	245	145	264
78	trees.J48_ACC_top100_100_0.7742_974 trees.J48 -S -C 0.25 -M 2 ACC top100 100 0.7742 0.7659 0.7371 0.7742 0.7326 0.5068 0.2466 0.2674 0.2258 0.7742 0.2258 0.7742 0.5068 [15 7] [7 33] 0.871 0.9409 0.9224 0.871 0.8472 0.7182 0.1409 0.768 0.755 0.732 0.768 0.738 0.515 0.247 0.757 0.739 0.73 0.757 0.72 0.48 0.262 0.228 1	000 0.224 0.056 0.555 0.11 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
79	functions.SMO_AUC_top50_50_0.8871_886 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 top50 50 0.8871 0.8818 0.8479 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.895 0.891 0.866 0.895 0.888 0.778 0.109 0.879 0.876 0.846 0.879 0.872 0.746 0.124 0.105 1	000 0.114 0.008 0.767 0.019 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	264
80	misc.HyperPipes_AUC_top75_75_0.9032_740 misc.HyperPipes AUC top75 75 0.9032 0.8994 0.8838 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8949 0.8675 0.9032 0.8854 0.7886 0.1057 0.895 0.932 0.933 0.895 0.885 0.784 0.11 0.896 0.93 0.932 0.896 0.882 0.782 0.111 0.075 1	000 0.108 0.003 0.786 0.003 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
81	lazy.IBk_FDR_F_7_0.6935_471 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR F 7 0.6935 0.7011 0.6857 0.6935 0.5655 0.2895 0.3705 0.4345 0.3065 0.6796 0.3204 0.6769 0.2791 [9 13] [6 34] 0.7419 0.6773 0.661 0.7419 0.6126 0.4057 0.3227 0.767 0.713 0.709 0.767 0.66 0.466 0.287 0.762 0.723 0.742 0.762 0.672 0.469 0.283 0.203 1	000 0.316 0.041 0.408 0.084 1	2	3	7	12	24	142	257	264
82	trees.DecisionStump_ACC_top1_1_0.8065_364 trees.DecisionStump ACC top1 1 0.8065 0.7795 0.7788 0.8065 0.8526 0.631 0.1705 0.1474 0.1935 0.8414 0.1586 0.8106 0.6092 [20 2] [10 30] 0.8226 0.733 0.8075 0.8226 0.882 0.6742 0.1477 0.788 0.811 0.777 0.788 0.834 0.61 0.189 0.795 0.809 0.781 0.795 0.824 0.607 0.191 0.199 1	000 0.175 0.02 0.631 0.031 1	2	264
83	lazy.IB1_ACC_top1_1_0.8226_667 lazy.IB1 ACC top1 1 0.8226 0.8114 0.7718 0.8226 0.8001 0.6168 0.1886 0.1999 0.1774 0.8247 0.1753 0.8234 0.6164 [17 5] [6 34] 0.8548 0.8364 0.802 0.8548 0.8179 0.6801 0.1636 0.82 0.804 0.779 0.82 0.787 0.614 0.196 0.811 0.797 0.775 0.811 0.783 0.595 0.203 0.148 1	000 0.188 0.017 0.626 0.037 1	2	264
84	trees.J48_AUC_B_11_0.871_101 trees.J48 -C 0.25 -M 2 AUC B 11 0.871 0.9176 0.8978 0.871 0.8268 0.7141 0.1511 0.1732 0.129 0.87 0.13 0.8695 0.7123 [17 5] [3 37] 0.9032 0.925 0.9256 0.9032 0.8854 0.7886 0.1057 0.792 0.78 0.77 0.792 0.747 0.56 0.23 0.767 0.756 0.751 0.767 0.738 0.509 0.247 0.205 1	000 0.183 0.067 0.643 0.131 1	263	261	260	259	256	217	112	83	75	45	39	264
85	functions.RBFNetwork_MCC_top40_40_0.7742_617 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top40 40 0.7742 0.7478 0.7346 0.7742 0.6917 0.4911 0.267 0.3083 0.2258 0.7695 0.2305 0.7683 0.4858 [13 9] [5 35] 0.8226 0.8249 0.799 0.8226 0.7592 0.6038 0.2091 0.809 0.82 0.836 0.809 0.762 0.586 0.214 0.809 0.823 0.832 0.809 0.754 0.585 0.218 0.179 1	000 0.227 0.027 0.566 0.051 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	264
86	rules.PART_ACC_FB_3_0.9355_126 rules.PART -M 2 -C 0.25 -Q 1 ACC FB 3 0.9355 0.9227 0.9164 0.9355 0.9032 0.8584 0.0807 0.0968 0.0645 0.9362 0.0638 0.9347 0.8561 [19 3] [1 39] 0.9355 0.9812 0.9727 0.9355 0.9032 0.8584 0.0807 0.883 0.866 0.858 0.883 0.843 0.758 0.137 0.877 0.873 0.855 0.877 0.849 0.749 0.137 0.08 1	000 0.109 0.033 0.806 0.061 1	3	112	167	264
87	functions.RBFNetwork_FDR_top75_75_0.8548_154 functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 FDR top75 75 0.8548 0.7761 0.7667 0.8548 0.7974 0.677 0.1739 0.2026 0.1452 0.854 0.146 0.8522 0.6729 [16 6] [3 37] 0.871 0.8257 0.8119 0.871 0.8268 0.7141 0.1511 0.852 0.864 0.869 0.852 0.809 0.677 0.169 0.832 0.834 0.843 0.832 0.789 0.643 0.189 0.134 1	000 0.171 0.016 0.678 0.029 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
88	trees.DecisionStump_ACC_top5_5_0.8226_762 trees.DecisionStump ACC top5 5 0.8226 0.817 0.8019 0.8226 0.8615 0.656 0.158 0.1385 0.1774 0.8508 0.1492 0.8263 0.6384 [20 2] [9 31] 0.7742 0.7085 0.7846 0.7742 0.8144 0.5636 0.2057 0.768 0.776 0.751 0.768 0.783 0.541 0.224 0.78 0.791 0.766 0.78 0.801 0.569 0.209 0.202 1	000 0.199 0.029 0.582 0.051 1	2	3	4	5	6	264
89	lazy.IB1_ACC_top5_5_0.8387_456 lazy.IB1 ACC top5 5 0.8387 0.8443 0.8019 0.8387 0.8499 0.6677 0.1557 0.1501 0.1613 0.8507 0.1493 0.8412 0.6616 [19 3] [7 33] 0.8387 0.8443 0.8019 0.8387 0.8499 0.6677 0.1557 0.837 0.844 0.812 0.837 0.851 0.665 0.156 0.833 0.831 0.803 0.833 0.829 0.648 0.169 0.124 1	000 0.159 0.007 0.662 0.009 1	2	3	4	5	6	264
90	misc.HyperPipes_AUC_top100_100_0.9032_870 misc.HyperPipes AUC top100 100 0.9032 0.8989 0.8825 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8972 0.8771 0.9032 0.8854 0.7886 0.1057 0.878 0.933 0.935 0.878 0.865 0.742 0.128 0.882 0.934 0.937 0.882 0.865 0.753 0.126 0.094 1	000 0.116 0.012 0.768 0.024 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
91	functions.RBFNetwork_BER_BF_4_0.5645_112 functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 BER BF 4 0.5645 0.6477 0.696 0.5645 0.4128 -0.0254 0.5114 0.5872 0.4355 0.5301 0.4699 0.5408 -0.0245 [5 17] [10 30] 0.6452 0.6261 0.6509 0.6452 0.5185 0.1789 0.4182 0.61 0.658 0.724 0.61 0.52 0.143 0.435 0.626 0.665 0.721 0.626 0.543 0.183 0.415 0.522 1	000 0.445 0.045 0.12 0.099 1	258	251	242	187	264
92	bayes.NaiveBayes_MCC_top50_50_0.9032_911 bayes.NaiveBayes -K MCC top50 50 0.9032 0.9035 0.8858 0.9032 0.9059 0.7948 0.0955 0.0941 0.0968 0.9069 0.0931 0.9041 0.7929 [20 2] [4 36] 0.8871 0.9088 0.8911 0.8871 0.8765 0.7564 0.1182 0.893 0.928 0.919 0.893 0.886 0.777 0.111 0.886 0.91 0.901 0.886 0.879 0.756 0.117 0.098 1	000 0.11 0.01 0.771 0.019 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	264
93	lazy.IBk_BER_top100_100_0.8871_689 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" BER top100 100 0.8871 0.9023 0.8768 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.9032 0.9045 0.872 0.9032 0.9059 0.7948 0.0955 0.865 0.86 0.832 0.865 0.854 0.713 0.14 0.863 0.858 0.848 0.863 0.856 0.709 0.14 0.105 1	000 0.123 0.021 0.743 0.04 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	77	78	79	80	81	82	83	84	85	86	87	88	89	90	91	92	93	94	95	96	97	98	99	100	101	264
94	rules.JRip_ACC_FB_4_0.9032_96 rules.JRip -F 3 -N 2.0 -O 2 -S 1 ACC FB 4 0.9032 0.8392 0.8175 0.9032 0.865 0.7863 0.1159 0.135 0.0968 0.9031 0.0969 0.9021 0.7842 [18 4] [2 38] 0.8226 0.7273 0.7391 0.8226 0.8001 0.6168 0.1886 0.834 0.824 0.798 0.834 0.817 0.648 0.175 0.788 0.77 0.752 0.788 0.76 0.557 0.226 0.165 1	000 0.176 0.046 0.652 0.097 1	3	6	10	34	264
95	functions.LibLINEAR_AUC_B_10_0.9032_591 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC B 10 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.1146 0.0968 0.9032 0.0968 0.9032 0.7886 [19 3] [3 37] 0.9032 0.8943 0.8651 0.9032 0.8854 0.7886 0.1057 0.89 0.89 0.866 0.89 0.89 0.768 0.11 0.872 0.869 0.843 0.872 0.866 0.728 0.131 0.097 1	000 0.113 0.012 0.768 0.029 1	263	260	259	258	255	246	244	235	169	5	264
96	functions.SMO_AUC_top75_75_0.8871_327 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 top75 75 0.8871 0.8818 0.8479 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.871 0.8693 0.8318 0.871 0.8677 0.7256 0.1307 0.864 0.86 0.83 0.864 0.856 0.718 0.14 0.862 0.856 0.829 0.862 0.851 0.705 0.144 0.118 1	000 0.133 0.011 0.726 0.022 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	52	53	54	55	56	57	58	59	60	61	62	63	64	65	66	67	68	69	70	71	72	73	74	75	76	264
97	trees.DecisionStump_ACC_top10_10_0.7903_914 trees.DecisionStump ACC top10 10 0.7903 0.8034 0.7872 0.7903 0.8029 0.5724 0.2034 0.1971 0.2097 0.808 0.192 0.794 0.5643 [18 4] [9 31] 0.7742 0.7085 0.7846 0.7742 0.8144 0.5636 0.2057 0.765 0.769 0.743 0.765 0.772 0.531 0.231 0.759 0.75 0.731 0.759 0.741 0.502 0.25 0.218 1	000 0.223 0.022 0.542 0.032 1	2	3	4	5	6	7	8	9	10	11	264
98	lazy.IB1_ACC_top10_10_0.871_519 lazy.IB1 ACC top10 10 0.871 0.8386 0.8139 0.871 0.8063 0.7139 0.1614 0.1937 0.129 0.8726 0.1274 0.8676 0.7062 [16 6] [2 38] 0.871 0.8386 0.8139 0.871 0.8063 0.7139 0.1614 0.87 0.845 0.826 0.87 0.82 0.721 0.155 0.875 0.845 0.828 0.875 0.816 0.728 0.155 0.089 1	000 0.158 0.004 0.719 0.007 1	2	3	4	5	6	7	8	9	10	11	264
99	functions.RBFNetwork_MCC_top50_50_0.7903_988 functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 MCC top50 50 0.7903 0.8485 0.8334 0.7903 0.7006 0.5265 0.2545 0.2994 0.2097 0.7875 0.2125 0.783 0.5174 [13 9] [4 36] 0.8387 0.8509 0.8217 0.8387 0.7681 0.6396 0.1966 0.805 0.841 0.853 0.805 0.75 0.58 0.222 0.818 0.842 0.851 0.818 0.755 0.598 0.213 0.164 1	000 0.222 0.024 0.586 0.047 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	264
100	functions.RBFClassifier_BER_top50_50_0.8871_780 functions.RBFClassifier -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 BER top50 50 0.8871 0.8943 0.8821 0.8871 0.8765 0.7564 0.1182 0.1235 0.1129 0.8887 0.1113 0.8876 0.7559 [19 3] [4 36] 0.9032 0.8909 0.8771 0.9032 0.8854 0.7886 0.1057 0.898 0.923 0.93 0.898 0.888 0.787 0.107 0.882 0.904 0.909 0.882 0.865 0.744 0.127 0.109 1	000 0.114 0.01 0.769 0.022 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	264