10154605 7789 Sarim Zafar 14 Supervised Classification 8945 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2) 8080244 class_weight null 8906 criterion "gini" 8906 max_depth null 8906 max_features null 8906 max_leaf_nodes null 8906 min_impurity_decrease 0.0 8906 min_impurity_split null 8906 min_samples_leaf 1 8906 min_samples_split 2 8906 min_weight_fraction_leaf 0.0 8906 presort false 8906 random_state 13758 8906 splitter "best" 8906 memory null 8945 copy true 8946 fill_value null 8946 missing_values NaN 8946 strategy "mean" 8946 verbose 0 8946 openml-python Sklearn_0.20.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21229777 description https://api.openml.org/data/download/21229777/description.xml -1 21229778 predictions https://api.openml.org/data/download/21229778/predictions.arff area_under_roc_curve 0.8569444444444444 [0.989167,0.803889,0.923611,0.871667,0.818611,0.8975,0.717778,0.894722,0.956667,0.695833] average_cost 0 f_measure 0.7433167987459047 [0.982456,0.663212,0.870886,0.766169,0.669975,0.817043,0.487685,0.797066,0.929293,0.449383] kappa 0.7138888888888889 kb_relative_information_score 1461.4348923612204 mean_absolute_error 0.05150000000000046 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7444809073450593 [0.984925,0.688172,0.882051,0.762376,0.665025,0.819095,0.480583,0.779904,0.938776,0.443902] predictive_accuracy 0.7425 prior_entropy 3.321928094887362 recall 0.7425 [0.98,0.64,0.86,0.77,0.675,0.815,0.495,0.815,0.92,0.455] relative_absolute_error 0.2861111111111049 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.22693611435820535 root_relative_squared_error 0.7564537145273396 total_cost 0 area_under_roc_curve 0.8722222222222221 [0.975,0.922222,0.919444,0.916667,0.813889,0.916667,0.697222,0.844444,0.972222,0.744444] area_under_roc_curve 0.8583333333333332 [0.972222,0.852778,0.872222,0.894444,0.763889,0.886111,0.691667,0.963889,0.947222,0.738889] area_under_roc_curve 0.838888888888889 [1,0.833333,0.916667,0.811111,0.877778,0.841667,0.661111,0.816667,0.994444,0.636111] area_under_roc_curve 0.8722222222222222 [0.975,0.747222,0.994444,0.919444,0.866667,0.911111,0.752778,0.858333,0.975,0.722222] area_under_roc_curve 0.8388888888888891 [0.997222,0.738889,0.894444,0.830556,0.830556,0.836111,0.727778,0.875,0.966667,0.691667] area_under_roc_curve 0.8944444444444444 [1,0.863889,0.994444,0.844444,0.886111,0.941667,0.825,0.888889,1,0.7] area_under_roc_curve 0.861111111111111 [1,0.880556,0.872222,0.866667,0.761111,0.883333,0.744444,0.961111,0.972222,0.669444] area_under_roc_curve 0.8333333333333333 [0.975,0.769444,0.916667,0.825,0.758333,0.938889,0.741667,0.866667,0.872222,0.669444] area_under_roc_curve 0.8583333333333332 [1,0.694444,0.966667,0.927778,0.822222,0.897222,0.627778,0.936111,0.997222,0.713889] area_under_roc_curve 0.8416666666666667 [0.997222,0.736111,0.888889,0.880556,0.805556,0.922222,0.708333,0.936111,0.869444,0.672222] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7711982311982313 [0.974359,0.75,0.871795,0.85,0.702703,0.85,0.461538,0.777778,0.95,0.52381] f_measure 0.7477994492098741 [0.95,0.697674,0.833333,0.842105,0.628571,0.780488,0.439024,0.883721,0.923077,0.5] f_measure 0.7115258980534975 [1,0.7,0.85,0.684211,0.727273,0.756757,0.380952,0.722222,0.952381,0.341463] f_measure 0.7690055420582564 [0.974359,0.645161,0.952381,0.871795,0.666667,0.809524,0.564103,0.731707,0.974359,0.5] f_measure 0.7070965885449009 [0.97561,0.588235,0.842105,0.682927,0.682927,0.717949,0.526316,0.711111,0.904762,0.439024] f_measure 0.8082773085979345 [1,0.769231,0.952381,0.777778,0.780488,0.878049,0.651163,0.8,1,0.473684] f_measure 0.7487711234773659 [1,0.744186,0.833333,0.789474,0.611111,0.761905,0.52381,0.863636,0.95,0.410256] f_measure 0.7030090086454835 [0.974359,0.55814,0.85,0.651163,0.594595,0.857143,0.511628,0.789474,0.833333,0.410256] f_measure 0.7352808948939411 [1,0.533333,0.904762,0.782609,0.636364,0.864865,0.352941,0.837209,0.97561,0.465116] f_measure 0.7149478405302808 [0.97561,0.571429,0.8,0.744186,0.65,0.894737,0.444444,0.837209,0.810811,0.421053] kappa 0.7444444444444445 kappa 0.7166666666666667 kappa 0.6777777777777777 kappa 0.7444444444444445 kappa 0.6777777777777777 kappa 0.788888888888889 kappa 0.7222222222222222 kappa 0.6666666666666666 kappa 0.7166666666666667 kappa 0.6833333333333333 kb_relative_information_score 151.89515543420927 kb_relative_information_score 146.66636798140587 kb_relative_information_score 139.34606554748115 kb_relative_information_score 151.89515543420927 kb_relative_information_score 139.34606554748115 kb_relative_information_score 160.26121535869456 kb_relative_information_score 147.71212547196654 kb_relative_information_score 137.2545505663598 kb_relative_information_score 146.66636798140587 kb_relative_information_score 140.39182303804182 mean_absolute_error 0.046 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.046 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.04999999999999998 mean_absolute_error 0.05999999999999995 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.05699999999999996 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7800984077841663 [1,0.642857,0.894737,0.85,0.764706,0.85,0.473684,0.875,0.95,0.5] precision 0.7584161036649594 [0.95,0.652174,0.9375,0.888889,0.733333,0.761905,0.428571,0.826087,0.947368,0.458333] precision 0.71809789067142 [1,0.7,0.85,0.722222,0.666667,0.823529,0.363636,0.8125,0.909091,0.333333] precision 0.7850307587149692 [1,0.909091,0.909091,0.894737,0.571429,0.772727,0.578947,0.714286,1,0.5] precision 0.7113494341915394 [0.952381,0.714286,0.888889,0.666667,0.666667,0.736842,0.555556,0.64,0.863636,0.428571] precision 0.8101307864522969 [1,0.789474,0.909091,0.875,0.761905,0.857143,0.608696,0.8,1,0.5] precision 0.7543977532764718 [1,0.695652,0.9375,0.833333,0.6875,0.727273,0.5,0.791667,0.95,0.421053] precision 0.7115822258797425 [1,0.521739,0.85,0.608696,0.647059,0.818182,0.478261,0.833333,0.9375,0.421053] precision 0.7478797545165832 [1,0.8,0.863636,0.692308,0.583333,0.941176,0.428571,0.782609,0.952381,0.434783] precision 0.7218550318678196 [0.952381,0.666667,0.8,0.695652,0.65,0.944444,0.4,0.782609,0.882353,0.444444] predictive_accuracy 0.77 predictive_accuracy 0.745 predictive_accuracy 0.71 predictive_accuracy 0.77 predictive_accuracy 0.71 predictive_accuracy 0.81 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.745 predictive_accuracy 0.715 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.77 [0.95,0.9,0.85,0.85,0.65,0.85,0.45,0.7,0.95,0.55] recall 0.745 [0.95,0.75,0.75,0.8,0.55,0.8,0.45,0.95,0.9,0.55] recall 0.71 [1,0.7,0.85,0.65,0.8,0.7,0.4,0.65,1,0.35] recall 0.77 [0.95,0.5,1,0.85,0.8,0.85,0.55,0.75,0.95,0.5] recall 0.71 [1,0.5,0.8,0.7,0.7,0.7,0.5,0.8,0.95,0.45] recall 0.81 [1,0.75,1,0.7,0.8,0.9,0.7,0.8,1,0.45] recall 0.75 [1,0.8,0.75,0.75,0.55,0.8,0.55,0.95,0.95,0.4] recall 0.7 [0.95,0.6,0.85,0.7,0.55,0.9,0.55,0.75,0.75,0.4] recall 0.745 [1,0.4,0.95,0.9,0.7,0.8,0.3,0.9,1,0.5] recall 0.715 [1,0.5,0.8,0.8,0.65,0.85,0.5,0.9,0.75,0.4] relative_absolute_error 0.2555555555555558 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.277777777777778 relative_absolute_error 0.3333333333333334 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.31666666666666676 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.22360679774997894 root_mean_squared_error 0.24494897427831772 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.23874672772626634 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.7453559924999302 root_relative_squared_error 0.8164965809277261 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.7958224257542216 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 126.27000000000521 usercpu_time_millis 120.32399999999654 usercpu_time_millis 122.3629999999929 usercpu_time_millis 123.04500000000473 usercpu_time_millis 122.76100000001122 usercpu_time_millis 121.27800000000377 usercpu_time_millis 125.38799999998673 usercpu_time_millis 117.75599999999997 usercpu_time_millis 125.3369999999876 usercpu_time_millis 118.89499999998066 usercpu_time_millis_testing 0.6770000000102527 usercpu_time_millis_testing 0.6389999999925067 usercpu_time_millis_testing 0.6459999999890442 usercpu_time_millis_testing 0.6460000000032551 usercpu_time_millis_testing 0.6489999999956808 usercpu_time_millis_testing 0.6520000000023174 usercpu_time_millis_testing 0.6429999999966185 usercpu_time_millis_testing 0.6669999999928677 usercpu_time_millis_testing 0.649999999993156 usercpu_time_millis_testing 0.644999999991569 usercpu_time_millis_training 125.59299999999496 usercpu_time_millis_training 119.68500000000404 usercpu_time_millis_training 121.71700000000385 usercpu_time_millis_training 122.39900000000148 usercpu_time_millis_training 122.11200000001554 usercpu_time_millis_training 120.62600000000145 usercpu_time_millis_training 124.74499999999011 usercpu_time_millis_training 117.0890000000071 usercpu_time_millis_training 124.68699999999444 usercpu_time_millis_training 118.24999999998909