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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.RandomForest_AUC_FB_19_0.9571_616 trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 AUC FB 19 0.9571 0.9942 0.9915 0.9571 0.9737 0.9275 0.0346 0.0263 0.0429 0.958 0.042 0.9573 0.9313 [59 0 3] [0 43 0] [6 0 99] 0.9571 0.9939 0.9907 0.9571 0.971 0.9269 0.0359 0.921 0.984 0.976 0.921 0.943 0.867 0.068 0.916 0.982 0.972 0.916 0.94 0.859 0.072 0.063 0.9242 0.976 0.9652 0.9242 0.9354 0.8622 0.0702 0.833 0.97 0.959 0.833 0.826 0.718 0.17 0.846 0.965 0.952 0.846 0.837 0.736 0.158 0.117 0.087 0.055 0.842 0.084 1	6	20	22	100	102	112	113	131	140	154	175	237	647	651	654	664	756	981	990	1001
2	bayes.NaiveBayes_AUC_FB_13_0.9048_810 bayes.NaiveBayes AUC FB 13 0.9048 0.9733 0.9544 0.9048 0.9297 0.8367 0.0828 0.0703 0.0952 0.9043 0.0957 0.9044 0.8461 [51 0 11] [0 43 0] [9 0 96] 0.8857 0.9684 0.9465 0.8857 0.9217 0.8055 0.0963 0.881 0.959 0.936 0.881 0.922 0.802 0.099 0.862 0.95 0.922 0.862 0.912 0.772 0.113 0.117 0.8939 0.9347 0.8913 0.8939 0.9636 0.8314 0.0712 0.832 0.931 0.891 0.832 0.888 0.713 0.14 0.835 0.931 0.893 0.835 0.892 0.72 0.136 0.156 0.105 0.026 0.783 0.05 1	90	96	113	156	359	609	647	654	715	787	849	921	963	1001
3	trees.RandomForest_ACC_FB_11_0.9381_825 trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 ACC FB 11 0.9381 0.9782 0.9646 0.9381 0.9519 0.8939 0.055 0.0481 0.0619 0.9379 0.0621 0.9378 0.8998 [54 0 8] [0 43 0] [5 0 100] 0.9286 0.9841 0.9736 0.9286 0.9396 0.878 0.0659 0.897 0.971 0.956 0.897 0.921 0.825 0.091 0.892 0.968 0.951 0.892 0.918 0.818 0.095 0.074 0.9015 0.9711 0.9564 0.9015 0.947 0.8342 0.0758 0.783 0.96 0.942 0.783 0.768 0.617 0.225 0.784 0.961 0.944 0.784 0.772 0.622 0.222 0.191 0.119 0.073 0.784 0.116 1	2	51	54	56	60	100	515	647	649	651	819	1001
4	trees.RandomForest_AUC_BF_20_0.9381_426 trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 AUC BF 20 0.9381 0.9916 0.9874 0.9381 0.9602 0.8951 0.0508 0.0398 0.0619 0.9392 0.0608 0.9384 0.9008 [57 0 5] [0 43 0] [8 0 97] 0.9381 0.9889 0.9833 0.9381 0.9575 0.8944 0.0522 0.901 0.975 0.966 0.901 0.929 0.833 0.085 0.898 0.974 0.962 0.898 0.923 0.828 0.09 0.07 0.8939 0.9654 0.9596 0.8939 0.9374 0.8199 0.0843 0.823 0.964 0.954 0.823 0.809 0.693 0.184 0.832 0.967 0.957 0.832 0.823 0.712 0.173 0.144 0.103 0.054 0.811 0.08 1	1000	998	994	989	963	953	952	951	950	948	931	765	763	700	647	637	635	616	530	416	1001
5	trees.RandomForest_AUC_F_31_0.9429_936 trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 AUC F 31 0.9429 0.9918 0.9873 0.9429 0.9567 0.9021 0.0502 0.0433 0.0571 0.9427 0.0573 0.9427 0.9077 [55 0 7] [0 43 0] [5 0 100] 0.9286 0.9895 0.9835 0.9286 0.9452 0.8775 0.0631 0.898 0.974 0.963 0.898 0.923 0.828 0.09 0.904 0.976 0.965 0.904 0.929 0.839 0.084 0.073 0.8864 0.9655 0.9516 0.8864 0.9399 0.8068 0.0869 0.872 0.972 0.96 0.872 0.872 0.779 0.128 0.87 0.969 0.956 0.87 0.873 0.775 0.129 0.095 0.09 0.03 0.83 0.048 1	2	3	4	5	6	8	12	16	17	18	20	25	51	56	59	112	113	114	173	204	271	280	283	295	365	495	510	647	651	679	714	1001
6	trees.RandomForest_AUC_B_28_0.9524_241 trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 AUC B 28 0.9524 0.9919 0.9875 0.9524 0.9634 0.9184 0.0421 0.0366 0.0476 0.9523 0.0477 0.9522 0.9231 [56 0 6] [0 43 0] [4 0 101] 0.9333 0.9882 0.9818 0.9333 0.9499 0.8857 0.0584 0.899 0.973 0.96 0.899 0.928 0.83 0.087 0.895 0.972 0.96 0.895 0.922 0.823 0.092 0.071 0.8939 0.9615 0.9571 0.8939 0.9131 0.8098 0.0965 0.871 0.972 0.963 0.871 0.87 0.775 0.129 0.873 0.971 0.961 0.873 0.877 0.782 0.125 0.101 0.09 0.032 0.832 0.053 1	1000	999	998	997	996	995	994	990	989	988	987	976	975	934	932	927	905	819	817	816	787	785	743	676	647	646	507	307	1001
7	trees.REPTree_MCC_FB_12_0.9238_342 trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 MCC FB 12 0.9238 0.9421 0.8957 0.9238 0.9432 0.87 0.0665 0.0568 0.0762 0.9241 0.0759 0.9239 0.8768 [54 0 8] [0 42 1] [7 0 98] 0.8524 0.8944 0.8394 0.8524 0.8864 0.7466 0.1306 0.823 0.876 0.794 0.823 0.872 0.703 0.153 0.835 0.886 0.811 0.835 0.878 0.723 0.143 0.145 0.8788 0.8934 0.8259 0.8788 0.9162 0.7894 0.1025 0.533 0.5 0.401 0.533 0.467 0 0.5 0.534 0.5 0.401 0.534 0.466 0 0.5 0.47 0.228 0.188 0.547 0.378 1	3	20	46	90	137	348	520	647	648	657	846	987	1001
8	bayes.AveragedNDependenceEstimators.A1DE_AUC_B_101_0.9714_107 bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 -W AUC B 101 0.9714 1 1 0.9714 0.988 0.9531 0.0203 0.012 0.0286 0.9739 0.0261 0.9717 0.9544 [62 0 0] [0 43 0] [6 0 99] 0.9476 0.9861 0.9773 0.9476 0.967 0.9113 0.0427 0.875 0.954 0.928 0.875 0.911 0.79 0.107 0.883 0.957 0.933 0.883 0.916 0.802 0.1 0.091 0.8788 0.9134 0.8818 0.8788 0.9111 0.7797 0.1051 0.897 0.961 0.932 0.897 0.922 0.82 0.091 0.897 0.962 0.938 0.897 0.919 0.818 0.092 0.074 0.08 0.034 0.839 0.066 1	1000	999	997	996	995	994	993	992	990	989	982	980	977	976	974	972	971	966	962	957	953	952	944	942	931	930	921	920	919	913	902	894	891	886	852	843	822	818	808	802	796	791	787	786	785	776	762	750	747	746	744	743	739	735	734	733	729	725	706	702	684	676	671	670	649	647	645	641	637	632	609	606	599	596	584	582	576	571	568	560	551	545	533	526	516	512	508	499	498	483	426	425	424	423	419	417	414	365	359	349	348	1001
9	lazy.IBk_MCC_BF_9_0.9905_981 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" MCC BF 9 0.9905 0.9932 0.986 0.9905 0.996 0.9839 0.0068 0.004 0.0095 0.9908 0.0092 0.9905 0.9847 [62 0 0] [0 43 0] [2 0 103] 0.9905 0.9932 0.986 0.9905 0.996 0.9839 0.0068 0.955 0.963 0.934 0.955 0.97 0.926 0.037 0.952 0.961 0.937 0.952 0.966 0.92 0.041 0.029 0.8788 0.8924 0.8222 0.8788 0.9061 0.7825 0.1076 0.534 0.5 0.4 0.534 0.466 0 0.5 0.53 0.5 0.399 0.53 0.47 0 0.5 0.555 0.171 0.227 0.657 0.454 1	1000	975	914	879	647	641	615	359	343	1001
10	lazy.IB1_MCC_FB_12_0.9762_369 lazy.IB1 MCC FB 12 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.922 0.934 0.887 0.922 0.945 0.87 0.066 0.919 0.929 0.881 0.919 0.94 0.862 0.071 0.06 0.8485 0.8914 0.8252 0.8485 0.9343 0.757 0.1086 0.936 0.944 0.906 0.936 0.953 0.888 0.056 0.935 0.944 0.905 0.935 0.953 0.886 0.056 0.044 0.056 0.031 0.883 0.069 1	113	114	115	120	165	171	172	189	202	204	214	280	1001
11	lazy.IBkLG_MCC_FB_12_0.9762_147 lazy.IBkLG MCC FB 12 0.9762 0.9892 0.9865 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9893 0.9868 0.9762 0.9873 0.9599 0.0183 0.929 0.966 0.959 0.929 0.948 0.88 0.061 0.917 0.944 0.925 0.917 0.94 0.86 0.071 0.053 0.8485 0.9236 0.9276 0.8485 0.9343 0.757 0.1086 0.935 0.971 0.966 0.935 0.952 0.886 0.057 0.932 0.955 0.938 0.932 0.951 0.882 0.058 0.042 0.056 0.031 0.884 0.069 1	113	114	115	120	165	171	172	189	202	204	214	280	1001
12	lazy.IBkLG_MCC_FB_12_0.9762_563 lazy.IBkLG MCC FB 12 0.9762 0.9892 0.9865 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9893 0.9868 0.9762 0.9873 0.9599 0.0183 0.929 0.964 0.956 0.929 0.951 0.881 0.06 0.922 0.945 0.925 0.922 0.943 0.867 0.068 0.054 0.8485 0.9236 0.9276 0.8485 0.9343 0.757 0.1086 0.938 0.973 0.968 0.938 0.954 0.891 0.054 0.933 0.955 0.939 0.933 0.951 0.883 0.058 0.044 0.055 0.031 0.886 0.068 1	113	114	115	120	165	171	172	189	202	204	214	280	1001
13	lazy.IBk_MCC_FB_12_0.9762_45 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" MCC FB 12 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.923 0.935 0.888 0.923 0.947 0.871 0.065 0.918 0.93 0.891 0.918 0.94 0.861 0.071 0.056 0.8485 0.8914 0.8252 0.8485 0.9343 0.757 0.1086 0.935 0.943 0.906 0.935 0.95 0.886 0.057 0.935 0.944 0.912 0.935 0.954 0.887 0.056 0.043 0.056 0.031 0.883 0.069 1	113	114	115	120	165	171	172	189	202	204	214	280	1001
14	lazy.IBk_MCC_FB_12_0.9762_455 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" MCC FB 12 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.924 0.936 0.89 0.924 0.947 0.872 0.064 0.919 0.932 0.895 0.919 0.942 0.862 0.07 0.06 0.8485 0.8914 0.8252 0.8485 0.9343 0.757 0.1086 0.939 0.949 0.913 0.939 0.957 0.895 0.052 0.935 0.942 0.912 0.935 0.952 0.886 0.057 0.046 0.055 0.031 0.885 0.069 1	113	114	115	120	165	171	172	189	202	204	214	280	1001
15	rules.FURIA_AUC_B_32_0.919_869 rules.FURIA -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0 AUC B 32 0.919 0.9764 0.9567 0.919 0.944 0.8619 0.0685 0.056 0.081 0.9194 0.0806 0.9192 0.8698 [54 0 8] [0 43 0] [9 0 96] 0.8952 0.9413 0.8985 0.8952 0.9174 0.82 0.0937 0.824 0.888 0.825 0.824 0.867 0.704 0.155 0.828 0.897 0.838 0.828 0.869 0.708 0.151 0.137 0.8636 0.9316 0.882 0.8636 0.9172 0.7631 0.1096 0.865 0.92 0.872 0.865 0.893 0.766 0.121 0.863 0.919 0.87 0.863 0.895 0.763 0.121 0.102 0.117 0.031 0.769 0.057 1	1000	999	998	997	996	990	989	986	984	977	976	974	960	956	939	931	900	880	852	816	647	622	562	547	512	508	306	279	265	254	226	139	1001
16	lazy.IB1_ACC_FB_10_0.9714_207 lazy.IB1 ACC FB 10 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.0203 0.0286 0.9714 0.0286 0.9714 0.954 [59 0 3] [0 43 0] [3 0 102] 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.935 0.944 0.904 0.935 0.953 0.891 0.056 0.928 0.938 0.895 0.928 0.949 0.878 0.062 0.052 0.8636 0.8854 0.818 0.8636 0.9071 0.7574 0.1146 0.93 0.938 0.897 0.93 0.946 0.877 0.062 0.922 0.931 0.886 0.922 0.941 0.862 0.069 0.055 0.059 0.031 0.881 0.065 1	3	6	8	113	119	128	131	167	226	872	1001
17	lazy.IB1_ACC_FB_10_0.9714_954 lazy.IB1 ACC FB 10 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.0203 0.0286 0.9714 0.0286 0.9714 0.954 [59 0 3] [0 43 0] [3 0 102] 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.932 0.942 0.9 0.932 0.952 0.884 0.058 0.93 0.941 0.897 0.93 0.951 0.882 0.059 0.052 0.8636 0.8854 0.818 0.8636 0.9071 0.7574 0.1146 0.929 0.938 0.896 0.929 0.946 0.876 0.062 0.925 0.934 0.89 0.925 0.943 0.868 0.066 0.052 0.058 0.03 0.881 0.065 1	3	6	8	113	119	128	131	167	226	872	1001
18	lazy.IBkLG_ACC_FB_10_0.9714_128 lazy.IBkLG ACC FB 10 0.9714 0.9855 0.9799 0.9714 0.9797 0.9512 0.0244 0.0203 0.0286 0.9714 0.0286 0.9714 0.954 [59 0 3] [0 43 0] [3 0 102] 0.9714 0.9856 0.9805 0.9714 0.9797 0.9512 0.0244 0.936 0.965 0.955 0.936 0.954 0.892 0.055 0.925 0.947 0.929 0.925 0.943 0.873 0.066 0.05 0.8636 0.9172 0.9198 0.8636 0.9071 0.7574 0.1146 0.921 0.958 0.95 0.921 0.939 0.861 0.07 0.921 0.943 0.921 0.921 0.942 0.862 0.069 0.052 0.06 0.031 0.878 0.066 1	3	6	8	113	119	128	131	167	226	872	1001
19	lazy.IBkLG_ACC_FB_10_0.9714_943 lazy.IBkLG ACC FB 10 0.9714 0.9855 0.9799 0.9714 0.9797 0.9512 0.0244 0.0203 0.0286 0.9714 0.0286 0.9714 0.954 [59 0 3] [0 43 0] [3 0 102] 0.9714 0.9856 0.9805 0.9714 0.9797 0.9512 0.0244 0.934 0.963 0.955 0.934 0.952 0.888 0.057 0.927 0.946 0.927 0.927 0.947 0.877 0.063 0.05 0.8636 0.9172 0.9198 0.8636 0.9071 0.7574 0.1146 0.925 0.958 0.951 0.925 0.941 0.869 0.067 0.919 0.94 0.92 0.919 0.937 0.858 0.072 0.051 0.06 0.031 0.879 0.066 1	3	6	8	113	119	128	131	167	226	872	1001
20	lazy.IBk_ACC_FB_10_0.9714_952 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" ACC FB 10 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.0203 0.0286 0.9714 0.0286 0.9714 0.954 [59 0 3] [0 43 0] [3 0 102] 0.9714 0.9756 0.9553 0.9714 0.9797 0.9512 0.0244 0.932 0.94 0.899 0.932 0.949 0.884 0.06 0.929 0.937 0.902 0.929 0.946 0.878 0.063 0.047 0.8636 0.8854 0.818 0.8636 0.9071 0.7574 0.1146 0.929 0.938 0.896 0.929 0.946 0.876 0.063 0.922 0.932 0.895 0.922 0.939 0.863 0.07 0.056 0.06 0.031 0.88 0.065 1	3	6	8	113	119	128	131	167	226	872	1001
21	lazy.IBk_AUC_BF_11_0.9952_532 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" AUC BF 11 0.9952 0.9966 0.9929 0.9952 0.998 0.9919 0.0034 0.002 0.0048 0.9953 0.0047 0.9952 0.9923 [62 0 0] [0 43 0] [1 0 104] 0.9905 0.9919 0.9849 0.9905 0.9932 0.9837 0.0081 0.952 0.958 0.929 0.952 0.964 0.918 0.042 0.943 0.95 0.923 0.943 0.958 0.905 0.049 0.035 0.8485 0.8854 0.807 0.8485 0.9222 0.7417 0.1146 0.964 0.969 0.946 0.964 0.973 0.937 0.032 0.961 0.964 0.944 0.961 0.97 0.933 0.034 0.023 0.04 0.037 0.916 0.083 1	997	887	826	763	647	641	603	561	556	551	343	1001
22	trees.J48_MCC_BF_10_0.9476_123 trees.J48 -S -C 0.25 -M 2 MCC BF 10 0.9476 0.947 0.9132 0.9476 0.9532 0.9111 0.0496 0.0468 0.0524 0.9491 0.0509 0.9469 0.9147 [53 0 9] [0 43 0] [2 0 103] 0.9333 0.9311 0.8956 0.9333 0.9472 0.8857 0.0597 0.851 0.894 0.827 0.851 0.895 0.751 0.127 0.847 0.883 0.812 0.847 0.89 0.743 0.131 0.121 0.8636 0.8758 0.7971 0.8636 0.903 0.7652 0.1167 0.866 0.902 0.842 0.866 0.901 0.772 0.117 0.847 0.887 0.818 0.847 0.882 0.738 0.135 0.121 0.105 0.035 0.795 0.072 1	999	992	921	787	647	517	461	317	281	279	1001
23	trees.J48_MCC_F_32_0.9_958 trees.J48 -R -N 3 -Q 1 -M 2 -A MCC F 32 0.9 0.9281 0.8803 0.9 0.936 0.8331 0.082 0.064 0.1 0.9031 0.0969 0.901 0.8398 [54 0 8] [1 42 0] [12 0 93] 0.8619 0.8982 0.8392 0.8619 0.8979 0.7644 0.1201 0.797 0.854 0.768 0.797 0.846 0.658 0.178 0.803 0.865 0.789 0.803 0.855 0.665 0.171 0.164 0.8485 0.8844 0.8059 0.8485 0.9172 0.745 0.1172 0.846 0.898 0.826 0.846 0.881 0.734 0.136 0.839 0.899 0.834 0.839 0.874 0.722 0.143 0.136 0.135 0.033 0.732 0.06 1	2	6	8	12	17	25	34	39	42	46	49	56	270	309	366	380	425	455	535	647	654	658	671	676	715	738	743	780	800	896	909	913	1001
24	bayes.AveragedNDependenceEstimators.A1DE_AUC_BF_30_0.9857_118 bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0 AUC BF 30 0.9857 1 1 0.9857 0.994 0.9761 0.0101 0.006 0.0143 0.9864 0.0136 0.9858 0.9771 [62 0 0] [0 43 0] [3 0 102] 0.9524 0.9927 0.9892 0.9524 0.9662 0.9186 0.0407 0.857 0.945 0.917 0.857 0.902 0.759 0.121 0.864 0.952 0.928 0.864 0.907 0.773 0.114 0.099 0.8485 0.9127 0.8827 0.8485 0.903 0.7318 0.1242 0.9 0.965 0.946 0.9 0.934 0.828 0.083 0.899 0.966 0.946 0.899 0.931 0.826 0.085 0.072 0.083 0.043 0.83 0.089 1	994	953	905	867	843	787	786	783	729	710	708	666	647	637	545	533	512	501	483	481	433	426	425	416	390	362	359	340	334	68	1001
25	bayes.AveragedNDependenceEstimators.A1DE_AUC_BF_30_0.9857_418 bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0 AUC BF 30 0.9857 1 1 0.9857 0.994 0.9761 0.0101 0.006 0.0143 0.9864 0.0136 0.9858 0.9771 [62 0 0] [0 43 0] [3 0 102] 0.9524 0.9927 0.9892 0.9524 0.9662 0.9186 0.0407 0.857 0.947 0.919 0.857 0.905 0.76 0.119 0.874 0.959 0.938 0.874 0.915 0.79 0.105 0.098 0.8485 0.9127 0.8827 0.8485 0.903 0.7318 0.1242 0.905 0.969 0.95 0.905 0.937 0.836 0.079 0.895 0.966 0.948 0.895 0.927 0.819 0.089 0.074 0.081 0.042 0.833 0.087 1	994	953	905	867	843	787	786	783	729	710	708	666	647	637	545	533	512	501	483	481	433	426	425	416	390	362	359	340	334	68	1001
26	functions.SMO_MCC_F_20_0.8667_458 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" MCC F 20 0.8667 0.8936 0.8122 0.8667 0.8971 0.7704 0.1181 0.1029 0.1333 0.8654 0.1346 0.8651 0.7832 [45 0 17] [0 43 0] [11 0 94] 0.8571 0.8862 0.8008 0.8571 0.8903 0.7539 0.1263 0.847 0.878 0.793 0.847 0.88 0.738 0.136 0.839 0.872 0.784 0.839 0.873 0.725 0.144 0.154 0.8864 0.8859 0.8288 0.8864 0.8652 0.7851 0.1242 0.87 0.891 0.818 0.87 0.889 0.772 0.12 0.873 0.893 0.821 0.873 0.89 0.777 0.118 0.092 0.127 0.01 0.76 0.022 1	2	4	8	113	114	127	128	130	134	140	141	161	172	177	185	187	647	652	676	692	1001
27	functions.LibLINEAR_ACC_B_22_0.8619_404 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 ACC B 22 0.8619 0.8771 0.7996 0.8619 0.8923 0.7621 0.1229 0.1077 0.1381 0.8606 0.1394 0.86 0.7751 [44 0 18] [0 43 0] [11 0 94] 0.8381 0.8547 0.7689 0.8381 0.8713 0.7204 0.1453 0.829 0.849 0.764 0.829 0.869 0.712 0.151 0.819 0.841 0.753 0.819 0.862 0.693 0.159 0.152 0.8636 0.8747 0.8009 0.8636 0.8859 0.7501 0.1253 0.84 0.849 0.771 0.84 0.858 0.716 0.151 0.84 0.85 0.772 0.84 0.86 0.717 0.15 0.129 0.143 0.014 0.724 0.024 1	1000	999	997	995	993	984	980	979	974	954	929	839	815	807	647	646	644	638	637	600	597	99	1001
28	lazy.KStar_AUC_F_54_0.981_755 lazy.KStar -B 20 -M a AUC F 54 0.981 1 1 0.981 0.992 0.9683 0.0135 0.008 0.019 0.9821 0.0179 0.9811 0.9695 [62 0 0] [0 43 0] [4 0 101] 0.9714 0.9993 0.999 0.9714 0.9853 0.9522 0.0217 0.92 0.968 0.946 0.92 0.946 0.866 0.067 0.913 0.963 0.938 0.913 0.939 0.853 0.074 0.057 0.8485 0.9331 0.9174 0.8485 0.901 0.7333 0.1253 0.933 0.973 0.956 0.933 0.948 0.881 0.06 0.931 0.969 0.951 0.931 0.947 0.878 0.061 0.047 0.06 0.037 0.876 0.077 1	2	3	4	5	6	7	8	18	20	21	22	24	25	27	28	33	34	35	40	46	48	49	51	52	59	60	62	73	84	90	93	94	95	98	99	100	101	105	113	131	133	140	142	145	149	152	172	178	186	200	204	237	734	813	1001
29	lazy.KStar_AUC_F_54_0.981_959 lazy.KStar -B 20 -M n AUC F 54 0.981 1 1 0.981 0.992 0.9683 0.0135 0.008 0.019 0.9821 0.0179 0.9811 0.9695 [62 0 0] [0 43 0] [4 0 101] 0.9714 0.9993 0.999 0.9714 0.9853 0.9522 0.0217 0.915 0.965 0.942 0.915 0.94 0.856 0.073 0.918 0.964 0.94 0.918 0.941 0.861 0.07 0.061 0.8485 0.9331 0.9174 0.8485 0.901 0.7333 0.1253 0.934 0.974 0.957 0.934 0.95 0.886 0.058 0.931 0.972 0.954 0.931 0.949 0.88 0.06 0.049 0.06 0.037 0.877 0.077 1	2	3	4	5	6	7	8	18	20	21	22	24	25	27	28	33	34	35	40	46	48	49	51	52	59	60	62	73	84	90	93	94	95	98	99	100	101	105	113	131	133	140	142	145	149	152	172	178	186	200	204	237	734	813	1001
30	trees.RandomForest_AUC_BF_11_0.9381_361 trees.RandomForest -I 10 -K 0 -S 1 AUC BF 11 0.9381 0.9885 0.9779 0.9381 0.9555 0.8956 0.0532 0.0445 0.0619 0.9376 0.0624 0.9376 0.9001 [54 1 7] [0 43 0] [5 0 100] 0.9429 0.9824 0.968 0.9429 0.9539 0.9021 0.0516 0.876 0.957 0.933 0.876 0.912 0.791 0.106 0.885 0.959 0.937 0.885 0.917 0.805 0.099 0.091 0.8636 0.9488 0.9205 0.8636 0.8838 0.7455 0.1263 0.756 0.919 0.882 0.756 0.738 0.562 0.253 0.77 0.929 0.898 0.77 0.759 0.593 0.236 0.2 0.132 0.082 0.756 0.135 1	1000	998	647	639	637	623	614	611	596	579	570	1001
31	bayes.NaiveBayesSimple_MCC_F_23_0.8429_815 bayes.NaiveBayesSimple MCC F 23 0.8429 0.8943 0.8186 0.8429 0.8761 0.7288 0.1405 0.1239 0.1571 0.841 0.159 0.8399 0.7433 [41 0 21] [0 43 0] [12 0 93] 0.8333 0.8928 0.8195 0.8333 0.8693 0.7121 0.1487 0.827 0.896 0.841 0.827 0.867 0.701 0.153 0.819 0.894 0.837 0.819 0.86 0.686 0.161 0.173 0.8485 0.9163 0.8635 0.8485 0.898 0.7348 0.1268 0.832 0.909 0.853 0.832 0.86 0.703 0.154 0.83 0.909 0.852 0.83 0.86 0.699 0.155 0.154 0.148 0.011 0.709 0.017 1	2	3	7	11	15	16	38	71	95	97	113	114	123	124	125	213	227	247	316	477	647	648	849	1001
32	rules.NNge_MCC_FB_7_0.8667_517 rules.NNge -G 5 -I 5 MCC FB 7 0.8667 0.8888 0.8136 0.8667 0.9109 0.7743 0.1112 0.0891 0.1333 0.869 0.131 0.8675 0.7866 [50 0 12] [0 43 0] [16 0 89] 0.7667 0.7957 0.6942 0.7667 0.8248 0.5965 0.2043 0.779 0.807 0.713 0.779 0.835 0.622 0.193 0.773 0.805 0.711 0.773 0.836 0.614 0.195 0.199 0.8409 0.8707 0.795 0.8409 0.9005 0.7222 0.1293 0.687 0.719 0.639 0.687 0.751 0.484 0.281 0.693 0.715 0.633 0.693 0.736 0.482 0.285 0.308 0.2 0.067 0.614 0.11 1	3	15	18	21	22	79	293	1001
33	rules.NNge_MCC_FB_7_0.8667_757 rules.NNge -G 5 -I 5 MCC FB 7 0.8667 0.8888 0.8136 0.8667 0.9109 0.7743 0.1112 0.0891 0.1333 0.869 0.131 0.8675 0.7866 [50 0 12] [0 43 0] [16 0 89] 0.7667 0.7957 0.6942 0.7667 0.8248 0.5965 0.2043 0.766 0.797 0.704 0.766 0.829 0.6 0.203 0.772 0.802 0.707 0.772 0.832 0.61 0.198 0.195 0.8409 0.8707 0.795 0.8409 0.9005 0.7222 0.1293 0.683 0.712 0.631 0.683 0.741 0.472 0.288 0.682 0.715 0.632 0.682 0.748 0.476 0.285 0.319 0.203 0.068 0.607 0.113 1	3	15	18	21	22	79	293	1001
34	functions.LibLINEAR_ACC_F_18_0.8857_160 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 ACC F 18 0.8857 0.8982 0.8305 0.8857 0.9106 0.8034 0.1018 0.0894 0.1143 0.885 0.115 0.8844 0.8142 [47 0 15] [0 43 0] [9 0 96] 0.8714 0.8853 0.8115 0.8714 0.8991 0.7786 0.1147 0.852 0.869 0.792 0.852 0.886 0.746 0.131 0.852 0.868 0.79 0.852 0.883 0.749 0.132 0.137 0.8712 0.8697 0.8107 0.8712 0.8682 0.7552 0.1303 0.844 0.852 0.779 0.844 0.861 0.721 0.148 0.846 0.855 0.78 0.846 0.865 0.727 0.145 0.118 0.129 0.016 0.754 0.029 1	2	3	5	18	42	56	76	479	647	648	651	654	656	797	824	826	833	835	1001
35	trees.RandomForest_AUC_top100_100_0.8143_353 trees.RandomForest -I 25 -K 0 -S 1 AUC top100 100 0.8143 0.9307 0.8788 0.8143 0.8613 0.68 0.1622 0.1387 0.1857 0.8119 0.1881 0.8125 0.6985 [40 0 22] [0 43 0] [17 0 88] 0.8714 0.9402 0.8881 0.8714 0.9102 0.7807 0.1092 0.818 0.928 0.885 0.818 0.867 0.692 0.157 0.82 0.93 0.889 0.82 0.874 0.698 0.153 0.141 0.8561 0.9139 0.8766 0.8561 0.8823 0.7385 0.1308 0.839 0.94 0.915 0.839 0.848 0.714 0.157 0.845 0.942 0.915 0.845 0.861 0.726 0.147 0.123 0.145 0.019 0.718 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	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	1001
36	trees.RandomForest_AUC_top100_100_0.8143_444 trees.RandomForest -I 25 -K 0 -S 1 AUC top100 100 0.8143 0.9307 0.8788 0.8143 0.8613 0.68 0.1622 0.1387 0.1857 0.8119 0.1881 0.8125 0.6985 [40 0 22] [0 43 0] [17 0 88] 0.8714 0.9402 0.8881 0.8714 0.9102 0.7807 0.1092 0.815 0.923 0.878 0.815 0.864 0.685 0.161 0.82 0.927 0.885 0.82 0.866 0.691 0.157 0.145 0.8561 0.9139 0.8766 0.8561 0.8823 0.7385 0.1308 0.846 0.94 0.916 0.846 0.858 0.726 0.148 0.841 0.941 0.914 0.841 0.86 0.72 0.15 0.123 0.145 0.019 0.717 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	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	1001
37	trees.RandomForest_BER_top100_100_0.8143_405 trees.RandomForest -I 25 -K 0 -S 1 BER top100 100 0.8143 0.9307 0.8788 0.8143 0.8613 0.68 0.1622 0.1387 0.1857 0.8119 0.1881 0.8125 0.6985 [40 0 22] [0 43 0] [17 0 88] 0.8714 0.9402 0.8881 0.8714 0.9102 0.7807 0.1092 0.819 0.926 0.884 0.819 0.866 0.695 0.157 0.809 0.922 0.876 0.809 0.861 0.677 0.165 0.143 0.8561 0.9139 0.8766 0.8561 0.8823 0.7385 0.1308 0.839 0.938 0.909 0.839 0.855 0.714 0.153 0.844 0.942 0.915 0.844 0.864 0.726 0.146 0.127 0.146 0.02 0.716 0.037 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	1001
38	trees.RandomForest_MCC_top100_100_0.8143_247 trees.RandomForest -I 25 -K 0 -S 1 MCC top100 100 0.8143 0.9307 0.8788 0.8143 0.8613 0.68 0.1622 0.1387 0.1857 0.8119 0.1881 0.8125 0.6985 [40 0 22] [0 43 0] [17 0 88] 0.8714 0.9402 0.8881 0.8714 0.9102 0.7807 0.1092 0.812 0.924 0.881 0.812 0.865 0.681 0.161 0.82 0.93 0.887 0.82 0.872 0.697 0.154 0.14 0.8561 0.9139 0.8766 0.8561 0.8823 0.7385 0.1308 0.839 0.938 0.912 0.839 0.855 0.714 0.153 0.84 0.941 0.913 0.84 0.856 0.719 0.152 0.128 0.146 0.019 0.716 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	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	1001
39	trees.RandomTree_AUC_F_11_0.9048_919 trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 AUC F 11 0.9048 0.9204 0.8598 0.9048 0.936 0.838 0.0796 0.064 0.0952 0.9048 0.0952 0.9047 0.8472 [53 0 9] [0 43 0] [10 1 94] 0.8381 0.8606 0.7723 0.8381 0.8831 0.7222 0.1394 0.825 0.852 0.767 0.825 0.878 0.705 0.148 0.817 0.845 0.757 0.817 0.873 0.692 0.155 0.142 0.8409 0.8687 0.7841 0.8409 0.8965 0.7189 0.1313 0.693 0.72 0.624 0.693 0.697 0.406 0.305 0.708 0.74 0.646 0.708 0.711 0.438 0.29 0.33 0.178 0.085 0.646 0.16 1	2	3	11	18	22	30	175	230	647	745	790	1001
40	lazy.IBk_ACC_top75_75_0.9143_461 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" ACC top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.872 0.893 0.823 0.872 0.914 0.786 0.107 0.872 0.896 0.841 0.872 0.917 0.786 0.106 0.099 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.89 0.909 0.851 0.89 0.924 0.81 0.093 0.885 0.904 0.855 0.885 0.918 0.8 0.099 0.078 0.097 0.022 0.804 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	1001
41	lazy.IBk_BER_top75_75_0.9143_508 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" BER top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.871 0.893 0.824 0.871 0.916 0.783 0.107 0.862 0.886 0.827 0.862 0.909 0.769 0.115 0.104 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.887 0.904 0.844 0.887 0.918 0.803 0.098 0.89 0.908 0.86 0.89 0.922 0.809 0.094 0.084 0.098 0.023 0.801 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	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	1001
42	lazy.IBk_BER_top75_75_0.9143_781 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" BER top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.862 0.886 0.814 0.862 0.91 0.77 0.114 0.866 0.889 0.833 0.866 0.913 0.774 0.111 0.098 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.887 0.904 0.844 0.887 0.918 0.804 0.098 0.887 0.907 0.858 0.887 0.92 0.804 0.097 0.078 0.099 0.023 0.8 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	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	1001
43	lazy.IBk_FDR_top75_75_0.9143_202 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.871 0.893 0.825 0.871 0.915 0.784 0.107 0.865 0.889 0.83 0.865 0.911 0.773 0.112 0.102 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.89 0.908 0.849 0.89 0.922 0.809 0.094 0.888 0.906 0.858 0.888 0.92 0.805 0.096 0.077 0.097 0.022 0.802 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	1001
44	lazy.IBk_FDR_top75_75_0.9143_422 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.873 0.896 0.829 0.873 0.919 0.79 0.104 0.864 0.886 0.828 0.864 0.909 0.771 0.113 0.095 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.893 0.91 0.853 0.893 0.924 0.815 0.091 0.889 0.904 0.856 0.889 0.919 0.807 0.096 0.08 0.097 0.022 0.804 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	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	1001
45	lazy.IBk_MCC_top75_75_0.9143_263 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.871 0.893 0.824 0.871 0.915 0.784 0.107 0.864 0.887 0.832 0.864 0.908 0.77 0.114 0.096 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.891 0.908 0.85 0.891 0.922 0.811 0.093 0.89 0.907 0.86 0.89 0.923 0.81 0.093 0.08 0.097 0.022 0.803 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	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	1001
46	lazy.IBk_MCC_top75_75_0.9143_368 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top75 75 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.0553 0.0857 0.9161 0.0839 0.9148 0.8628 [55 0 7] [0 43 0] [11 0 94] 0.9143 0.9295 0.8756 0.9143 0.9447 0.8551 0.0705 0.872 0.895 0.827 0.872 0.917 0.786 0.105 0.868 0.89 0.835 0.868 0.913 0.779 0.109 0.097 0.8561 0.8682 0.7983 0.8561 0.8803 0.7351 0.1318 0.889 0.907 0.849 0.889 0.92 0.808 0.095 0.886 0.902 0.853 0.886 0.92 0.802 0.097 0.084 0.097 0.022 0.803 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	1001
47	functions.LibLINEAR_ACC_F_22_0.9048_688 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 ACC F 22 0.9048 0.9103 0.8535 0.9048 0.9158 0.8382 0.0897 0.0842 0.0952 0.908 0.092 0.9022 0.8437 [46 0 16] [0 43 0] [4 0 101] 0.8905 0.8974 0.8337 0.8905 0.9043 0.8135 0.1026 0.857 0.868 0.797 0.857 0.879 0.759 0.132 0.851 0.863 0.789 0.851 0.874 0.745 0.137 0.132 0.8636 0.8652 0.8004 0.8636 0.8667 0.7416 0.1348 0.811 0.807 0.728 0.811 0.803 0.668 0.193 0.813 0.812 0.733 0.813 0.81 0.672 0.188 0.148 0.14 0.039 0.748 0.064 1	2	3	4	5	7	41	42	45	46	51	56	59	67	71	112	113	115	126	161	165	166	796	1001
48	functions.LibLINEAR_ACC_F_22_0.9048_896 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 ACC F 22 0.9048 0.9103 0.8535 0.9048 0.9158 0.8382 0.0897 0.0842 0.0952 0.908 0.092 0.9022 0.8437 [46 0 16] [0 43 0] [4 0 101] 0.8905 0.8974 0.8337 0.8905 0.9043 0.8135 0.1026 0.855 0.865 0.793 0.855 0.875 0.757 0.135 0.851 0.864 0.792 0.851 0.877 0.748 0.136 0.134 0.8636 0.8652 0.8004 0.8636 0.8667 0.7416 0.1348 0.806 0.803 0.724 0.806 0.799 0.659 0.197 0.804 0.803 0.722 0.804 0.802 0.659 0.197 0.157 0.142 0.042 0.745 0.069 1	2	3	4	5	7	41	42	45	46	51	56	59	67	71	112	113	115	126	161	165	166	796	1001
49	functions.SimpleLogistic_ACC_top10_10_0.7429_387 functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 ACC top10 10 0.7429 0.8666 0.7909 0.7429 0.8037 0.5533 0.2267 0.1963 0.2571 0.736 0.264 0.7374 0.5793 [30 0 32] [0 43 0] [22 0 83] 0.7333 0.8637 0.7935 0.7333 0.7997 0.5379 0.2335 0.731 0.869 0.808 0.731 0.797 0.537 0.236 0.727 0.862 0.799 0.727 0.792 0.532 0.24 0.249 0.8636 0.8764 0.8373 0.8636 0.8657 0.7413 0.1354 0.753 0.857 0.794 0.753 0.764 0.551 0.242 0.746 0.865 0.805 0.746 0.743 0.536 0.255 0.229 0.224 0.04 0.57 0.076 1	2	3	4	5	6	7	8	9	10	11	1001
50	bayes.NaiveBayes_ACC_F_17_0.8619_628 bayes.NaiveBayes ACC F 17 0.8619 0.8994 0.8141 0.8619 0.8951 0.7623 0.1215 0.1049 0.1381 0.8606 0.1394 0.8606 0.7758 [45 0 17] [0 43 0] [12 0 93] 0.8571 0.8956 0.8041 0.8571 0.8903 0.7539 0.1263 0.833 0.902 0.842 0.833 0.883 0.719 0.142 0.824 0.902 0.839 0.824 0.877 0.704 0.15 0.162 0.8409 0.9016 0.8617 0.8409 0.8874 0.7191 0.1359 0.814 0.899 0.846 0.814 0.864 0.678 0.161 0.802 0.894 0.839 0.802 0.858 0.659 0.17 0.18 0.144 0.018 0.714 0.037 1	2	3	7	11	18	24	110	113	129	193	236	242	427	763	787	865	874	1001
51	bayes.NaiveBayes_ACC_F_17_0.8619_638 bayes.NaiveBayes ACC F 17 0.8619 0.8994 0.8141 0.8619 0.8951 0.7623 0.1215 0.1049 0.1381 0.8606 0.1394 0.8606 0.7758 [45 0 17] [0 43 0] [12 0 93] 0.8571 0.8956 0.8041 0.8571 0.8903 0.7539 0.1263 0.825 0.898 0.838 0.825 0.876 0.703 0.149 0.824 0.903 0.843 0.824 0.877 0.704 0.149 0.164 0.8409 0.9016 0.8617 0.8409 0.8874 0.7191 0.1359 0.805 0.894 0.837 0.805 0.862 0.668 0.166 0.796 0.887 0.829 0.796 0.85 0.647 0.177 0.193 0.146 0.02 0.708 0.042 1	2	3	7	11	18	24	110	113	129	193	236	242	427	763	787	865	874	1001
52	bayes.NaiveBayes_FDR_top30_30_0.7429_47 bayes.NaiveBayes -K FDR top30 30 0.7429 0.8755 0.8025 0.7429 0.8093 0.5558 0.2239 0.1907 0.2571 0.7383 0.2617 0.7399 0.5819 [32 0 30] [0 43 0] [24 0 81] 0.7571 0.8739 0.8023 0.7571 0.8319 0.5874 0.2055 0.746 0.876 0.821 0.746 0.814 0.569 0.22 0.752 0.881 0.824 0.752 0.83 0.585 0.209 0.233 0.8485 0.9009 0.834 0.8485 0.8788 0.7223 0.1364 0.767 0.877 0.816 0.767 0.826 0.595 0.204 0.777 0.881 0.819 0.777 0.849 0.624 0.187 0.205 0.198 0.03 0.606 0.056 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	1001
53	bayes.NaiveBayes_MCC_top30_30_0.7429_95 bayes.NaiveBayes -K MCC top30 30 0.7429 0.8755 0.8025 0.7429 0.8093 0.5558 0.2239 0.1907 0.2571 0.7383 0.2617 0.7399 0.5819 [32 0 30] [0 43 0] [24 0 81] 0.7571 0.8739 0.8023 0.7571 0.8319 0.5874 0.2055 0.75 0.883 0.831 0.75 0.814 0.573 0.218 0.747 0.881 0.826 0.747 0.829 0.578 0.212 0.235 0.8485 0.9009 0.834 0.8485 0.8788 0.7223 0.1364 0.774 0.878 0.819 0.774 0.833 0.607 0.197 0.774 0.881 0.817 0.774 0.846 0.617 0.19 0.209 0.198 0.029 0.606 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	27	28	29	30	31	1001
54	bayes.NaiveBayesSimple_ACC_F_17_0.8571_20 bayes.NaiveBayesSimple ACC F 17 0.8571 0.8905 0.8217 0.8571 0.8903 0.7539 0.1263 0.1097 0.1429 0.8557 0.1443 0.8555 0.7677 [44 0 18] [0 43 0] [12 0 93] 0.8476 0.8918 0.8216 0.8476 0.8808 0.7371 0.1358 0.836 0.897 0.842 0.836 0.877 0.72 0.143 0.833 0.897 0.84 0.833 0.875 0.715 0.146 0.167 0.8106 0.9212 0.8927 0.8106 0.9157 0.6979 0.1369 0.846 0.903 0.855 0.846 0.887 0.731 0.134 0.831 0.906 0.858 0.831 0.882 0.709 0.144 0.148 0.138 0.007 0.723 0.019 1	2	3	7	11	15	22	39	82	113	126	158	176	214	647	648	651	703	1001
55	bayes.NaiveBayesSimple_AUC_BF_15_0.8762_941 bayes.NaiveBayesSimple AUC BF 15 0.8762 0.9536 0.9179 0.8762 0.92 0.7924 0.1019 0.08 0.1238 0.8752 0.1248 0.8754 0.8016 [49 2 11] [0 43 0] [12 1 92] 0.881 0.9513 0.9155 0.881 0.9142 0.7961 0.1024 0.87 0.947 0.915 0.87 0.913 0.783 0.109 0.86 0.938 0.902 0.86 0.909 0.766 0.116 0.125 0.8333 0.9027 0.8732 0.8333 0.8929 0.71 0.1369 0.84 0.927 0.891 0.84 0.882 0.724 0.139 0.836 0.924 0.888 0.836 0.879 0.716 0.143 0.15 0.121 0.018 0.755 0.038 1	994	953	944	889	849	785	715	647	609	593	591	413	406	356	191	1001
56	lazy.KStar_ACC_top15_15_0.8571_879 lazy.KStar -B 20 -M n ACC top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.842 0.937 0.904 0.842 0.891 0.735 0.133 0.837 0.928 0.891 0.837 0.884 0.722 0.14 0.126 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.864 0.945 0.919 0.864 0.9 0.763 0.118 0.863 0.944 0.92 0.863 0.896 0.761 0.121 0.105 0.127 0.01 0.745 0.024 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
57	lazy.KStar_BER_top15_15_0.8571_140 lazy.KStar -B 20 -M m BER top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.837 0.931 0.897 0.837 0.883 0.722 0.14 0.838 0.931 0.896 0.838 0.885 0.726 0.138 0.128 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.869 0.946 0.924 0.869 0.901 0.77 0.115 0.868 0.948 0.924 0.868 0.905 0.77 0.114 0.101 0.126 0.012 0.746 0.027 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
58	lazy.KStar_BER_top15_15_0.8571_182 lazy.KStar -B 20 -M a BER top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.847 0.941 0.908 0.847 0.896 0.744 0.128 0.842 0.933 0.897 0.842 0.89 0.732 0.134 0.124 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.867 0.947 0.922 0.867 0.904 0.769 0.114 0.868 0.946 0.923 0.868 0.898 0.769 0.117 0.101 0.124 0.01 0.75 0.024 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
59	lazy.KStar_BER_top15_15_0.8571_548 lazy.KStar -B 20 -M n BER top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.843 0.935 0.899 0.843 0.887 0.733 0.135 0.835 0.929 0.894 0.835 0.882 0.718 0.142 0.123 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.879 0.954 0.934 0.879 0.91 0.789 0.106 0.862 0.94 0.913 0.862 0.898 0.761 0.12 0.099 0.126 0.014 0.748 0.03 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
60	lazy.KStar_BER_top15_15_0.8571_928 lazy.KStar -B 20 -M n BER top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.839 0.931 0.898 0.839 0.884 0.726 0.138 0.842 0.934 0.901 0.842 0.886 0.73 0.136 0.13 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.868 0.949 0.927 0.868 0.904 0.772 0.114 0.866 0.944 0.922 0.866 0.898 0.764 0.118 0.101 0.126 0.011 0.746 0.026 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
61	lazy.KStar_FDR_top15_15_0.8571_190 lazy.KStar -B 20 -M a FDR top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.839 0.932 0.896 0.839 0.888 0.729 0.136 0.832 0.928 0.893 0.832 0.88 0.714 0.144 0.122 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.871 0.947 0.923 0.871 0.904 0.774 0.113 0.866 0.945 0.922 0.866 0.898 0.765 0.118 0.104 0.127 0.013 0.745 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
62	lazy.KStar_FDR_top15_15_0.8571_282 lazy.KStar -B 20 -M a FDR top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.844 0.937 0.902 0.844 0.894 0.739 0.131 0.84 0.933 0.898 0.84 0.885 0.728 0.138 0.123 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.871 0.95 0.928 0.871 0.904 0.774 0.113 0.862 0.941 0.915 0.862 0.893 0.757 0.123 0.101 0.126 0.011 0.747 0.025 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
63	lazy.KStar_FDR_top15_15_0.8571_892 lazy.KStar -B 20 -M n FDR top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.841 0.936 0.905 0.841 0.883 0.729 0.138 0.836 0.932 0.9 0.836 0.883 0.722 0.14 0.124 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.869 0.949 0.926 0.869 0.902 0.771 0.115 0.86 0.945 0.921 0.86 0.896 0.755 0.122 0.103 0.127 0.011 0.744 0.026 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
64	lazy.KStar_MCC_top15_15_0.8571_119 lazy.KStar -B 20 -M n MCC top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.835 0.931 0.899 0.835 0.883 0.721 0.141 0.836 0.931 0.897 0.836 0.882 0.72 0.141 0.126 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.867 0.947 0.923 0.867 0.902 0.768 0.115 0.868 0.946 0.922 0.868 0.902 0.77 0.115 0.099 0.127 0.013 0.745 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
65	lazy.KStar_MCC_top15_15_0.8571_560 lazy.KStar -B 20 -M m MCC top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.837 0.934 0.901 0.837 0.885 0.725 0.139 0.839 0.932 0.899 0.839 0.887 0.728 0.137 0.13 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.87 0.949 0.928 0.87 0.903 0.772 0.114 0.87 0.948 0.924 0.87 0.905 0.774 0.113 0.103 0.126 0.012 0.747 0.028 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
66	lazy.KStar_MCC_top15_15_0.8571_738 lazy.KStar -B 20 -M a MCC top15 15 0.8571 0.9514 0.9228 0.8571 0.8959 0.7549 0.1235 0.1041 0.1429 0.8563 0.1437 0.8566 0.7692 [46 0 16] [0 43 0] [14 0 91] 0.8667 0.9539 0.9284 0.8667 0.9054 0.7721 0.114 0.846 0.938 0.909 0.846 0.889 0.738 0.133 0.839 0.931 0.894 0.839 0.888 0.728 0.137 0.126 0.8333 0.9222 0.9031 0.8333 0.8879 0.7059 0.1394 0.871 0.946 0.922 0.871 0.904 0.774 0.113 0.864 0.946 0.923 0.864 0.899 0.762 0.119 0.098 0.126 0.011 0.748 0.025 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
67	rules.NNge_ACC_B_25_0.9476_488 rules.NNge -G 5 -I 5 ACC B 25 0.9476 0.9532 0.9181 0.9476 0.9587 0.9103 0.0468 0.0413 0.0524 0.9476 0.0524 0.9473 0.9152 [55 0 7] [0 43 0] [4 0 101] 0.8286 0.8507 0.7618 0.8286 0.8728 0.7051 0.1493 0.815 0.838 0.756 0.815 0.861 0.69 0.162 0.812 0.836 0.751 0.812 0.861 0.686 0.164 0.149 0.8182 0.8606 0.7724 0.8182 0.903 0.6966 0.1394 0.709 0.735 0.651 0.709 0.761 0.498 0.265 0.706 0.736 0.651 0.706 0.765 0.496 0.264 0.277 0.17 0.076 0.669 0.142 1	1000	999	998	997	994	993	992	991	962	952	947	934	907	879	784	647	637	630	595	570	544	268	250	36	30	1001
68	rules.NNge_ACC_B_25_0.9476_640 rules.NNge -G 5 -I 5 ACC B 25 0.9476 0.9532 0.9181 0.9476 0.9587 0.9103 0.0468 0.0413 0.0524 0.9476 0.0524 0.9473 0.9152 [55 0 7] [0 43 0] [4 0 101] 0.8286 0.8507 0.7618 0.8286 0.8728 0.7051 0.1493 0.813 0.837 0.751 0.813 0.862 0.687 0.163 0.816 0.838 0.752 0.816 0.86 0.69 0.162 0.15 0.8182 0.8606 0.7724 0.8182 0.903 0.6966 0.1394 0.704 0.734 0.648 0.704 0.764 0.494 0.266 0.715 0.742 0.658 0.715 0.769 0.511 0.258 0.286 0.169 0.075 0.671 0.139 1	1000	999	998	997	994	993	992	991	962	952	947	934	907	879	784	647	637	630	595	570	544	268	250	36	30	1001
69	lazy.IBk_ACC_BF_8_0.981_274 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" ACC BF 8 0.981 0.9837 0.97 0.981 0.9865 0.9674 0.0163 0.0135 0.019 0.981 0.019 0.981 0.9693 [60 0 2] [0 43 0] [2 0 103] 0.981 0.9837 0.97 0.981 0.9865 0.9674 0.0163 0.952 0.959 0.93 0.952 0.966 0.919 0.041 0.951 0.957 0.933 0.951 0.965 0.917 0.042 0.04 0.8258 0.8601 0.7876 0.8258 0.8944 0.6994 0.1399 0.96 0.966 0.942 0.96 0.97 0.931 0.035 0.958 0.963 0.942 0.958 0.969 0.927 0.037 0.034 0.047 0.042 0.904 0.093 1	999	997	978	890	647	604	522	229	1001
70	functions.LibLINEAR_ACC_top100_100_0.8143_170 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 ACC top100 100 0.8143 0.8309 0.7386 0.8143 0.8475 0.6785 0.1691 0.1525 0.1857 0.8121 0.1879 0.8077 0.6937 [35 0 27] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.79 0.813 0.72 0.79 0.836 0.641 0.187 0.797 0.824 0.733 0.797 0.851 0.656 0.176 0.177 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.798 0.805 0.723 0.798 0.811 0.635 0.195 0.797 0.807 0.722 0.797 0.817 0.637 0.193 0.169 0.175 0.019 0.665 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	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	1001
71	functions.LibLINEAR_ACC_top100_100_0.8333_682 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 ACC top100 100 0.8333 0.8499 0.7627 0.8333 0.8665 0.712 0.1501 0.1335 0.1667 0.8314 0.1686 0.8294 0.7269 [39 0 23] [0 43 0] [12 0 93] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.798 0.823 0.732 0.798 0.849 0.656 0.177 0.805 0.83 0.74 0.805 0.856 0.669 0.17 0.163 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.802 0.812 0.729 0.802 0.821 0.646 0.188 0.812 0.82 0.738 0.812 0.829 0.663 0.18 0.161 0.166 0.018 0.682 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	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	1001
72	functions.LibLINEAR_AUC_top100_100_0.8143_946 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 AUC top100 100 0.8143 0.8309 0.7386 0.8143 0.8475 0.6785 0.1691 0.1525 0.1857 0.8121 0.1879 0.8077 0.6937 [35 0 27] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.79 0.816 0.725 0.79 0.843 0.643 0.184 0.801 0.826 0.735 0.801 0.851 0.662 0.174 0.176 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.797 0.806 0.72 0.797 0.815 0.639 0.194 0.797 0.805 0.72 0.797 0.812 0.636 0.195 0.167 0.175 0.019 0.666 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	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	1001
73	functions.LibLINEAR_AUC_top100_100_0.8333_88 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC top100 100 0.8333 0.8499 0.7627 0.8333 0.8665 0.712 0.1501 0.1335 0.1667 0.8314 0.1686 0.8294 0.7269 [39 0 23] [0 43 0] [12 0 93] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.793 0.816 0.725 0.793 0.839 0.644 0.184 0.806 0.83 0.74 0.806 0.853 0.669 0.17 0.163 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.812 0.823 0.741 0.812 0.835 0.667 0.177 0.81 0.82 0.737 0.81 0.83 0.664 0.18 0.161 0.165 0.017 0.684 0.031 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	1001
74	functions.LibLINEAR_AUC_top100_100_0.8381_453 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 AUC top100 100 0.8381 0.8533 0.7678 0.8381 0.8685 0.7205 0.1467 0.1315 0.1619 0.8368 0.1632 0.8338 0.7342 [39 0 23] [0 43 0] [11 0 94] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.79 0.816 0.727 0.79 0.842 0.643 0.184 0.803 0.831 0.74 0.803 0.858 0.669 0.169 0.165 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.811 0.82 0.738 0.811 0.829 0.663 0.18 0.814 0.822 0.741 0.814 0.83 0.666 0.178 0.159 0.165 0.017 0.685 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	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	1001
75	functions.LibLINEAR_BER_top100_100_0.8143_59 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 BER top100 100 0.8143 0.8309 0.7386 0.8143 0.8475 0.6785 0.1691 0.1525 0.1857 0.8121 0.1879 0.8077 0.6937 [35 0 27] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.796 0.821 0.73 0.796 0.846 0.652 0.179 0.799 0.825 0.735 0.799 0.851 0.66 0.175 0.178 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.798 0.808 0.724 0.798 0.817 0.639 0.192 0.799 0.809 0.724 0.799 0.82 0.644 0.191 0.17 0.173 0.017 0.669 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	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	1001
76	functions.LibLINEAR_BER_top100_100_0.8143_603 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 BER top100 100 0.8143 0.8309 0.7386 0.8143 0.8475 0.6785 0.1691 0.1525 0.1857 0.8121 0.1879 0.8077 0.6937 [35 0 27] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.792 0.816 0.725 0.792 0.84 0.646 0.184 0.793 0.819 0.725 0.793 0.844 0.649 0.181 0.174 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.802 0.81 0.727 0.802 0.818 0.648 0.19 0.803 0.81 0.727 0.803 0.816 0.647 0.19 0.166 0.175 0.018 0.668 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	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	1001
77	functions.LibLINEAR_BER_top100_100_0.8333_302 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 BER top100 100 0.8333 0.8499 0.7627 0.8333 0.8665 0.712 0.1501 0.1335 0.1667 0.8314 0.1686 0.8294 0.7269 [39 0 23] [0 43 0] [12 0 93] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.805 0.827 0.739 0.805 0.85 0.666 0.173 0.808 0.833 0.744 0.808 0.857 0.676 0.167 0.172 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.807 0.815 0.733 0.807 0.823 0.655 0.185 0.805 0.815 0.732 0.805 0.826 0.651 0.185 0.159 0.165 0.017 0.684 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	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	1001
78	functions.LibLINEAR_FDR_top100_100_0.819_181 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 FDR top100 100 0.819 0.8356 0.7446 0.819 0.8523 0.6869 0.1644 0.1477 0.181 0.8169 0.1831 0.8132 0.702 [36 0 26] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.798 0.824 0.734 0.798 0.849 0.657 0.176 0.796 0.821 0.731 0.796 0.847 0.652 0.179 0.177 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.802 0.809 0.726 0.802 0.816 0.644 0.191 0.8 0.808 0.723 0.8 0.816 0.643 0.192 0.163 0.173 0.018 0.67 0.031 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	1001
79	functions.LibLINEAR_FDR_top100_100_0.8333_340 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 FDR top100 100 0.8333 0.8499 0.7627 0.8333 0.8665 0.712 0.1501 0.1335 0.1667 0.8314 0.1686 0.8294 0.7269 [39 0 23] [0 43 0] [12 0 93] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.8 0.824 0.734 0.8 0.849 0.658 0.176 0.806 0.829 0.74 0.806 0.851 0.667 0.171 0.158 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.806 0.817 0.732 0.806 0.827 0.657 0.183 0.803 0.812 0.73 0.803 0.822 0.648 0.188 0.156 0.166 0.018 0.682 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	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	1001
80	functions.LibLINEAR_MCC_top100_100_0.8143_541 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 MCC top100 100 0.8143 0.8309 0.7386 0.8143 0.8475 0.6785 0.1691 0.1525 0.1857 0.8121 0.1879 0.8077 0.6937 [35 0 27] [0 43 0] [12 0 93] 0.8143 0.8323 0.7398 0.8143 0.8503 0.6784 0.1677 0.788 0.814 0.723 0.788 0.84 0.642 0.186 0.789 0.814 0.722 0.789 0.839 0.638 0.186 0.171 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.8 0.809 0.725 0.8 0.819 0.646 0.191 0.802 0.81 0.727 0.802 0.819 0.648 0.19 0.166 0.176 0.018 0.666 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	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	1001
81	functions.LibLINEAR_MCC_top100_100_0.8333_279 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 MCC top100 100 0.8333 0.8499 0.7627 0.8333 0.8665 0.712 0.1501 0.1335 0.1667 0.8314 0.1686 0.8294 0.7269 [39 0 23] [0 43 0] [12 0 93] 0.8286 0.8452 0.7566 0.8286 0.8618 0.7037 0.1548 0.807 0.827 0.741 0.807 0.847 0.667 0.173 0.804 0.828 0.738 0.804 0.852 0.667 0.172 0.169 0.8561 0.8596 0.7959 0.8561 0.8631 0.7277 0.1404 0.808 0.816 0.734 0.808 0.825 0.657 0.184 0.808 0.818 0.735 0.808 0.828 0.659 0.182 0.154 0.165 0.017 0.685 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	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	1001
82	functions.Logistic_BER_top10_10_0.7429_300 functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4 BER top10 10 0.7429 0.8725 0.7959 0.7429 0.8093 0.5558 0.2239 0.1907 0.2571 0.7383 0.2617 0.7399 0.5819 [32 0 30] [0 43 0] [24 0 81] 0.7476 0.875 0.8032 0.7476 0.8085 0.5622 0.2219 0.748 0.877 0.822 0.748 0.814 0.568 0.219 0.754 0.881 0.823 0.754 0.822 0.583 0.212 0.248 0.8561 0.8807 0.8424 0.8561 0.8631 0.7277 0.1404 0.786 0.881 0.832 0.786 0.819 0.617 0.198 0.729 0.848 0.783 0.729 0.72 0.496 0.276 0.256 0.213 0.04 0.587 0.072 1	2	3	4	5	6	7	8	9	10	11	1001
83	lazy.IBk_ACC_FB_11_0.9762_538 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" ACC FB 11 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.0127 0.0238 0.9769 0.0231 0.9763 0.9618 [61 0 1] [0 43 0] [4 0 101] 0.9762 0.9817 0.9645 0.9762 0.9873 0.9599 0.0183 0.927 0.938 0.893 0.927 0.949 0.877 0.062 0.922 0.935 0.897 0.922 0.946 0.869 0.066 0.06 0.8182 0.8596 0.7813 0.8182 0.901 0.6952 0.1404 0.915 0.927 0.878 0.915 0.937 0.852 0.074 0.913 0.924 0.885 0.913 0.934 0.847 0.077 0.061 0.065 0.041 0.866 0.089 1	18	52	58	59	61	96	113	220	221	235	329	1001
84	lazy.IBk_ACC_top15_15_0.8857_824 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" ACC top15 15 0.8857 0.9023 0.8345 0.8857 0.9189 0.8046 0.0977 0.0811 0.1143 0.8857 0.1143 0.8857 0.8159 [50 0 12] [0 43 0] [12 0 93] 0.8905 0.9071 0.8414 0.8905 0.9237 0.8132 0.0929 0.848 0.873 0.794 0.848 0.898 0.747 0.127 0.847 0.871 0.807 0.847 0.891 0.741 0.131 0.119 0.8485 0.8586 0.7929 0.8485 0.8687 0.7172 0.1414 0.871 0.891 0.827 0.871 0.907 0.777 0.111 0.868 0.885 0.831 0.868 0.902 0.771 0.115 0.099 0.117 0.018 0.767 0.035 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
85	lazy.IBk_BER_top15_15_0.8857_111 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" BER top15 15 0.8857 0.9023 0.8345 0.8857 0.9189 0.8046 0.0977 0.0811 0.1143 0.8857 0.1143 0.8857 0.8159 [50 0 12] [0 43 0] [12 0 93] 0.8905 0.9071 0.8414 0.8905 0.9237 0.8132 0.0929 0.852 0.874 0.798 0.852 0.896 0.75 0.126 0.841 0.864 0.802 0.841 0.886 0.728 0.136 0.119 0.8485 0.8586 0.7929 0.8485 0.8687 0.7172 0.1414 0.876 0.894 0.83 0.876 0.908 0.782 0.108 0.868 0.89 0.836 0.868 0.902 0.77 0.115 0.099 0.117 0.019 0.766 0.037 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
86	lazy.IBk_BER_top15_15_0.8857_832 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" BER top15 15 0.8857 0.9023 0.8345 0.8857 0.9189 0.8046 0.0977 0.0811 0.1143 0.8857 0.1143 0.8857 0.8159 [50 0 12] [0 43 0] [12 0 93] 0.8905 0.9071 0.8414 0.8905 0.9237 0.8132 0.0929 0.854 0.876 0.801 0.854 0.898 0.754 0.124 0.847 0.867 0.806 0.847 0.893 0.74 0.13 0.125 0.8485 0.8586 0.7929 0.8485 0.8687 0.7172 0.1414 0.87 0.89 0.824 0.87 0.907 0.775 0.112 0.867 0.886 0.832 0.867 0.901 0.768 0.116 0.1 0.116 0.017 0.767 0.034 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
87	lazy.IBk_FDR_top15_15_0.8857_480 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top15 15 0.8857 0.9023 0.8345 0.8857 0.9189 0.8046 0.0977 0.0811 0.1143 0.8857 0.1143 0.8857 0.8159 [50 0 12] [0 43 0] [12 0 93] 0.8905 0.9071 0.8414 0.8905 0.9237 0.8132 0.0929 0.852 0.874 0.797 0.852 0.896 0.751 0.126 0.849 0.875 0.813 0.849 0.894 0.744 0.129 0.123 0.8485 0.8586 0.7929 0.8485 0.8687 0.7172 0.1414 0.87 0.889 0.824 0.87 0.904 0.773 0.113 0.87 0.889 0.836 0.87 0.901 0.772 0.114 0.098 0.116 0.017 0.768 0.034 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
88	lazy.IBk_FDR_top15_15_0.8857_974 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top15 15 0.8857 0.9023 0.8345 0.8857 0.9189 0.8046 0.0977 0.0811 0.1143 0.8857 0.1143 0.8857 0.8159 [50 0 12] [0 43 0] [12 0 93] 0.8905 0.9071 0.8414 0.8905 0.9237 0.8132 0.0929 0.853 0.873 0.797 0.853 0.893 0.748 0.127 0.852 0.874 0.813 0.852 0.897 0.75 0.126 0.119 0.8485 0.8586 0.7929 0.8485 0.8687 0.7172 0.1414 0.871 0.888 0.824 0.871 0.902 0.773 0.113 0.868 0.885 0.831 0.868 0.901 0.769 0.116 0.095 0.116 0.017 0.768 0.033 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	1001
89	trees.HoeffdingTree_ACC_top30_30_0.7238_43 trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 ACC top30 30 0.7238 0.8408 0.7569 0.7238 0.8096 0.5317 0.2333 0.1904 0.2762 0.7277 0.2723 0.7254 0.558 [35 0 27] [0 43 0] [31 0 74] 0.7143 0.8409 0.7502 0.7143 0.8056 0.5177 0.2401 0.721 0.858 0.796 0.721 0.816 0.537 0.232 0.714 0.844 0.777 0.714 0.803 0.521 0.242 0.266 0.8485 0.9047 0.8582 0.8485 0.8687 0.7172 0.1414 0.743 0.869 0.81 0.743 0.831 0.574 0.213 0.445 0.535 0.423 0.445 0.607 0.052 0.474 1.598 0.254 0.103 0.493 0.207 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	1001
90	trees.HoeffdingTree_AUC_top30_30_0.7238_987 trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 AUC top30 30 0.7238 0.8408 0.7569 0.7238 0.8096 0.5317 0.2333 0.1904 0.2762 0.7277 0.2723 0.7254 0.558 [35 0 27] [0 43 0] [31 0 74] 0.7143 0.8409 0.7502 0.7143 0.8056 0.5177 0.2401 0.717 0.858 0.798 0.717 0.814 0.531 0.235 0.713 0.852 0.789 0.713 0.807 0.522 0.24 0.276 0.8485 0.9047 0.8582 0.8485 0.8687 0.7172 0.1414 0.74 0.872 0.814 0.74 0.837 0.577 0.212 0.459 0.546 0.434 0.459 0.616 0.073 0.463 1.399 0.252 0.099 0.496 0.199 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	1001
91	trees.HoeffdingTree_BER_top30_30_0.7238_245 trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 BER top30 30 0.7238 0.8408 0.7569 0.7238 0.8096 0.5317 0.2333 0.1904 0.2762 0.7277 0.2723 0.7254 0.558 [35 0 27] [0 43 0] [31 0 74] 0.7143 0.8409 0.7502 0.7143 0.8056 0.5177 0.2401 0.719 0.857 0.799 0.719 0.815 0.536 0.233 0.715 0.853 0.788 0.715 0.814 0.53 0.235 0.272 0.8485 0.9047 0.8582 0.8485 0.8687 0.7172 0.1414 0.734 0.87 0.812 0.734 0.832 0.566 0.217 0.455 0.539 0.426 0.455 0.609 0.063 0.468 1.225 0.253 0.101 0.495 0.202 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	1001
92	trees.HoeffdingTree_FDR_top30_30_0.7238_126 trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 FDR top30 30 0.7238 0.8408 0.7569 0.7238 0.8096 0.5317 0.2333 0.1904 0.2762 0.7277 0.2723 0.7254 0.558 [35 0 27] [0 43 0] [31 0 74] 0.7143 0.8409 0.7502 0.7143 0.8056 0.5177 0.2401 0.723 0.859 0.799 0.723 0.814 0.539 0.231 0.723 0.855 0.793 0.723 0.815 0.541 0.231 0.267 0.8485 0.9047 0.8582 0.8485 0.8687 0.7172 0.1414 0.747 0.87 0.812 0.747 0.839 0.584 0.207 0.451 0.535 0.425 0.451 0.605 0.056 0.472 1.919 0.251 0.103 0.498 0.207 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	1001
93	trees.HoeffdingTree_MCC_top30_30_0.7238_114 trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 MCC top30 30 0.7238 0.8408 0.7569 0.7238 0.8096 0.5317 0.2333 0.1904 0.2762 0.7277 0.2723 0.7254 0.558 [35 0 27] [0 43 0] [31 0 74] 0.7143 0.8409 0.7502 0.7143 0.8056 0.5177 0.2401 0.716 0.855 0.794 0.716 0.812 0.529 0.236 0.717 0.853 0.789 0.717 0.815 0.535 0.234 0.276 0.8485 0.9047 0.8582 0.8485 0.8687 0.7172 0.1414 0.741 0.871 0.813 0.741 0.832 0.575 0.213 0.45 0.539 0.423 0.45 0.609 0.058 0.47 1.421 0.253 0.102 0.495 0.205 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	1001
94	lazy.IBk_ACC_top100_100_0.9143_74 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" ACC top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.872 0.89 0.822 0.872 0.908 0.782 0.11 0.874 0.892 0.84 0.874 0.915 0.787 0.105 0.093 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.902 0.916 0.862 0.902 0.927 0.829 0.086 0.893 0.908 0.861 0.893 0.919 0.813 0.094 0.069 0.097 0.026 0.804 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	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	1001
95	lazy.IBk_BER_top100_100_0.9143_811 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" BER top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.883 0.901 0.836 0.883 0.92 0.802 0.099 0.873 0.893 0.838 0.873 0.911 0.785 0.108 0.093 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.902 0.916 0.863 0.902 0.927 0.829 0.086 0.894 0.908 0.863 0.894 0.92 0.814 0.093 0.073 0.096 0.025 0.807 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	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	1001
96	lazy.IBk_FDR_top100_100_0.9143_554 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.878 0.897 0.83 0.878 0.916 0.794 0.103 0.876 0.895 0.841 0.876 0.915 0.792 0.105 0.099 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.9 0.913 0.859 0.9 0.924 0.824 0.088 0.898 0.91 0.866 0.898 0.924 0.82 0.089 0.077 0.096 0.025 0.807 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	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	1001
97	lazy.IBk_FDR_top100_100_0.9143_928 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" FDR top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.875 0.895 0.829 0.875 0.916 0.789 0.105 0.872 0.89 0.835 0.872 0.909 0.783 0.11 0.093 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.905 0.918 0.867 0.905 0.928 0.834 0.083 0.893 0.908 0.862 0.893 0.921 0.815 0.093 0.072 0.096 0.026 0.805 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	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	1001
98	lazy.IBk_MCC_top100_100_0.9143_155 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.879 0.897 0.831 0.879 0.916 0.794 0.103 0.874 0.893 0.837 0.874 0.912 0.786 0.107 0.099 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.898 0.913 0.858 0.898 0.924 0.822 0.089 0.899 0.913 0.868 0.899 0.924 0.822 0.089 0.076 0.096 0.025 0.806 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	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	1001
99	lazy.IBk_MCC_top100_100_0.9143_340 lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" MCC top100 100 0.9143 0.9267 0.8725 0.9143 0.9392 0.8535 0.0733 0.0608 0.0857 0.9143 0.0857 0.9143 0.862 [53 0 9] [0 43 0] [9 0 96] 0.919 0.9329 0.8814 0.919 0.9467 0.8627 0.0671 0.879 0.897 0.83 0.879 0.916 0.795 0.103 0.873 0.893 0.839 0.873 0.912 0.785 0.108 0.096 0.8333 0.8566 0.7886 0.8333 0.8798 0.7009 0.1434 0.901 0.913 0.86 0.901 0.923 0.825 0.088 0.897 0.912 0.864 0.897 0.92 0.819 0.092 0.075 0.096 0.025 0.806 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	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	1001
100	functions.LibLINEAR_ACC_FB_9_0.9095_954 functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 ACC FB 9 0.9095 0.9137 0.8599 0.9095 0.9178 0.8472 0.0863 0.0822 0.0905 0.9141 0.0859 0.9069 0.8512 [46 0 16] [0 43 0] [3 0 102] 0.9 0.9055 0.8466 0.9 0.9111 0.8304 0.0945 0.874 0.881 0.814 0.874 0.889 0.786 0.119 0.871 0.883 0.815 0.871 0.894 0.783 0.117 0.116 0.8561 0.8556 0.7923 0.8561 0.8551 0.7261 0.1444 0.83 0.829 0.752 0.83 0.828 0.704 0.171 0.83 0.829 0.752 0.83 0.828 0.703 0.171 0.131 0.129 0.034 0.769 0.059 1	3	5	113	161	171	552	661	662	683	1001