9039947 1935 Hilde Weerts 146802 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6974875 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap false 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.8876479262605071 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 11 7684 min_samples_split 20 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 40971 collins https://www.openml.org/data/download/17953251/php5OMDBD -1 18994427 description https://api.openml.org/data/download/18994427/description.xml -1 18994428 predictions https://api.openml.org/data/download/18994428/predictions.arff area_under_roc_curve 0.8045718845964704 [0.877805,0.822161,0.849979,0.767997,0.763745,0.693912,0.734933,0.825911,0.792711,0.89023,0.865224,0.770456,0.913988,0.871427,0.620249,0.868676,0.850482,0.848304,0.756328,0.828435,0.59723,0.684252,0.900241,0.847201,0.875848,0.876665,0.87173,0.907525,0.898221,0.718971] average_cost 0 kappa 0.17009035153580737 kb_relative_information_score 277.9283518917982 mean_absolute_error 0.05792457264809204 mean_prior_absolute_error 0.06362666666666673 number_of_instances 1000 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9,44,27,17,17,36,48,75,30,80,29,24,6,29,29,9] predictive_accuracy 0.213 prior_entropy 4.664224865324832 recall 0.213 [0.340909,0.222222,0.235294,0,0.083333,0.083333,0.306667,0,0.3125,0.206897,0.041667,0,0.310345,0.068966,0,0.318182,0.407407,0.058824,0,0.222222,0.020833,0.226667,0.366667,0.3,0.068966,0.291667,0,0.344828,0.310345,0] relative_absolute_error 0.9103820093476317 root_mean_prior_squared_error 0.17832953750912986 root_mean_squared_error 0.17255450679636178 root_relative_squared_error 0.9676159609146499 total_cost 0 area_under_roc_curve 0.8107612432770941 [0.791579,0.965636,1,0.989899,0.864583,0.749474,0.651306,0.910653,0.820652,0.908163,0.872449,0.717172,0.986254,0.852234,0.848485,0.854167,0.900344,0.734694,0.717172,0.867188,0.467368,0.626359,0.979381,0.875,0.869416,0.94898,0.808081,0.972509,0.900344,0.535354] area_under_roc_curve 0.7933142366087259 [0.859375,0.890034,0.959184,0.919192,0.790378,0.595789,0.752688,0.766323,0.927989,0.914089,0.900344,0.757576,0.869416,0.790378,0.434343,0.890625,0.676976,0.908163,0.757576,0.979167,0.583158,0.64538,0.955326,0.794837,0.745704,0.530612,0.0,0.917526,0.859107,0.414141] area_under_roc_curve 0.8383344755458517 [0.830729,0.896907,0.806122,0.79798,0.666667,0.711579,0.793478,0.886598,0.796196,0.848797,0.821306,0.919192,0.85567,0.872852,0.0,0.895833,0.962199,0.918367,1,0.963542,0.528421,0.827446,0.85567,0.900815,0.982818,0.928571,0.0,0.972509,0.931271,0.646465] area_under_roc_curve 0.7952827233595436 [0.882812,0.714777,0.984694,0.867347,0.532646,0.694737,0.730978,0.917526,0.702446,0.910653,0.865979,0.777778,0.928571,0.907216,0.949495,0.802083,0.883162,0.923469,0.540816,0.606771,0.781053,0.754224,0.876289,0.755435,0.887755,0.928571,0.0,0.927835,0.948454,0.888889] area_under_roc_curve 0.8097400992966125 [0.989583,0.892857,0.80102,0.584184,0.835052,0.68,0.808424,0.893471,0.745924,0.814433,0.910653,0.0,0.900344,0.869416,0.525253,0.932292,0.883162,0.852041,0.964286,0.809896,0.589474,0.576037,0.776632,0.857337,0.865979,0.993127,0.0,0.872852,0.938144,0.0] area_under_roc_curve 0.8198315042058636 [0.898438,0.933673,0.785714,0.688776,0.794271,0.698947,0.777174,0.972509,0.690217,0.938144,0.872449,0.0,0.865979,0.90378,0.79798,0.971354,0.920962,0.97449,0.903061,0.810997,0.549474,0.726575,0.948454,0.830163,0.941581,0.814433,0.949495,0.887755,0.90378,0.717172] area_under_roc_curve 0.8076179050098999 [0.778646,0.857143,0.653061,0.709184,0.739583,0.908854,0.682065,0.714777,0.866848,0.838488,0.765306,0.0,0.965636,0.900344,0.636364,0.92,0.841924,0.693878,0.515306,0.800687,0.557895,0.723502,0.965636,0.894022,0.845361,0.859107,1,0.969072,0.97449,0.979798] area_under_roc_curve 0.8132175306386928 [0.936842,0.982818,0.882653,0.928571,0.776042,0.523438,0.863287,0.862543,0.778533,0.879725,0.928571,0.0,0.924399,0.90378,0.156566,0.821053,0.897959,0.929293,0.943878,0.924399,0.637895,0.660522,0.790378,0.76087,0.80756,0.910653,0.767677,0.941581,0.817869,0.909091] area_under_roc_curve 0.8113148393689031 [0.966316,0.683849,0.575758,0.811224,0.773438,0.642105,0.648233,0.810997,0.789402,0.934708,0.872449,0.929293,0.955326,0.934708,0.464646,0.865263,0.862245,0.909091,0.658163,0.769759,0.669271,0.736413,0.955326,0.891304,0.907216,0.954082,1,0.920962,0.848797,0.757576] area_under_roc_curve 0.7786240591870849 [0.892632,0.632302,1,0.576531,0.804688,0.732632,0.625192,0.642612,0.865489,0.838488,0.867347,0.565657,0.896907,0.877551,0.838384,0.756842,0.69898,0.656566,0.760204,0.856771,0.630208,0.605978,0.938144,0.894022,0.893471,0.954082,0.767677,0.74055,0.924399,0.666667] 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 kappa 0.21019376579612467 kappa 0.17686787674124102 kappa 0.26245917184701295 kappa 0.11485774499473131 kappa 0.1440346613124802 kappa 0.16684243830415524 kappa 0.19788918205804748 kappa 0.1251185833245494 kappa 0.16578669482576558 kappa 0.13547706905640486 kb_relative_information_score 28.793819564883755 kb_relative_information_score 24.683393421772735 kb_relative_information_score 30.570836082548205 kb_relative_information_score 26.687324042687187 kb_relative_information_score 27.005916279212194 kb_relative_information_score 28.12918086887064 kb_relative_information_score 28.6293139615115 kb_relative_information_score 28.580771959718458 kb_relative_information_score 29.57722281445335 kb_relative_information_score 25.270572896139747 mean_absolute_error 0.05755734866321616 mean_absolute_error 0.05867364457526767 mean_absolute_error 0.056875368291352 mean_absolute_error 0.058468842750696186 mean_absolute_error 0.0582161702444786 mean_absolute_error 0.05765931613673564 mean_absolute_error 0.0575711404496146 mean_absolute_error 0.05836437048307731 mean_absolute_error 0.05759322066654821 mean_absolute_error 0.05826630421993441 mean_prior_absolute_error 0.06361488673139154 mean_prior_absolute_error 0.06362524271844655 mean_prior_absolute_error 0.06358252427184462 mean_prior_absolute_error 0.06364077669902908 mean_prior_absolute_error 0.06361488673139153 mean_prior_absolute_error 0.0636394822006472 mean_prior_absolute_error 0.06364207119741096 mean_prior_absolute_error 0.06365436893203878 mean_prior_absolute_error 0.06362847896440124 mean_prior_absolute_error 0.06362394822006467 number_of_instances 100 [5,3,1,1,4,5,7,3,8,2,2,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,1,3,3,1] number_of_instances 100 [4,3,2,1,3,5,7,3,8,3,3,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1] number_of_instances 100 [4,3,2,1,3,5,8,3,8,3,3,1,3,3,0,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1] number_of_instances 100 [4,3,2,2,3,5,8,3,8,3,3,1,2,3,1,4,3,2,2,4,5,7,3,8,2,2,0,3,3,1] number_of_instances 100 [4,2,2,2,3,5,8,3,8,3,3,0,3,3,1,4,3,2,2,4,5,7,3,8,3,3,0,3,3,0] number_of_instances 100 [4,2,2,2,4,5,8,3,8,3,2,0,3,3,1,4,3,2,2,3,5,7,3,8,3,3,1,2,3,1] number_of_instances 100 [4,2,2,2,4,4,8,3,8,3,2,0,3,3,1,5,3,2,2,3,5,7,3,8,3,3,1,3,2,1] number_of_instances 100 [5,3,2,2,4,4,7,3,8,3,2,0,3,3,1,5,2,1,2,3,5,7,3,8,3,3,1,3,3,1] number_of_instances 100 [5,3,1,2,4,5,7,3,8,3,2,1,3,3,1,5,2,1,2,3,4,8,3,8,3,2,1,3,3,1] number_of_instances 100 [5,3,1,2,4,5,7,3,8,3,2,1,3,2,1,5,2,1,2,4,4,8,3,8,3,2,1,3,3,1] predictive_accuracy 0.25 predictive_accuracy 0.22 predictive_accuracy 0.3 predictive_accuracy 0.16 predictive_accuracy 0.19 predictive_accuracy 0.21 predictive_accuracy 0.24 predictive_accuracy 0.17 predictive_accuracy 0.21 predictive_accuracy 0.18 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 recall 0.25 [0.2,0.333333,1,0,0.25,0,0.285714,0,0.375,0,0,0,0.666667,0.333333,0,0.5,0.666667,0,0,0,0,0.375,0.333333,0.375,0,0,0,0.333333,0.333333,0] recall 0.22 [0,0,0,0,0,0,0.428571,0,0.25,0.333333,0,0,0.333333,0,0,0.75,0.333333,0,0,1,0.2,0.125,0.666667,0.25,0,0,0.0,0.333333,0,0] recall 0.3 [0.25,0.666667,0.5,0,0,0,0.5,0,0.375,0,0,0,0,0,0.0,0.25,0.666667,0.5,0,0.25,0,0.5,0.666667,0.375,0.666667,0,0.0,1,0,0] recall 0.16 [0.5,0,0.5,0,0,0,0.25,0,0.25,0.666667,0,0,0.5,0,0,0,0,0,0,0,0,0.285714,0.333333,0.25,0,0,0.0,0,0.333333,0] recall 0.19 [0.25,0,0,0,0.333333,0,0.25,0,0.375,0,0.333333,0.0,0,0,0,0.25,0.333333,0,0,0,0,0,0.333333,0.25,0,1,0.0,0.333333,0.666667,0.0] recall 0.21 [0.25,0.5,0,0,0,0.2,0.375,0,0.375,0.333333,0,0.0,0,0,0,0.5,0.333333,0,0,0,0,0.285714,0,0.5,0,0.333333,0,0,0.333333,0] recall 0.24 [0.25,0,0,0,0.25,0.25,0.375,0,0.375,0,0,0.0,0.666667,0,0,0,0.666667,0,0,0.666667,0,0.285714,0.333333,0.25,0,0.333333,0,0.666667,0.5,0] recall 0.17 [0.8,0.333333,0,0,0,0,0.285714,0,0.25,0,0,0.0,0.333333,0.333333,0,0.4,0,0,0,0,0,0,0.333333,0.125,0,0,0,0.666667,0,0] recall 0.21 [0.6,0,0,0,0,0.2,0.142857,0,0.125,0.666667,0,0,0.333333,0,0,0.4,0.5,0,0,0.333333,0,0.25,0.333333,0.375,0,0.5,0,0,0.333333,0] recall 0.18 [0.2,0.333333,1,0,0,0.2,0.142857,0,0.375,0,0,0,0.333333,0,0,0.2,0.5,0,0,0,0,0.125,0.333333,0.25,0,0.5,0,0,0.666667,0] relative_absolute_error 0.9047779791897952 relative_absolute_error 0.9221755716502236 relative_absolute_error 0.8945125872666453 relative_absolute_error 0.9187323879972101 relative_absolute_error 0.9151343849795954 relative_absolute_error 0.9060305669198115 relative_absolute_error 0.9046082153900212 relative_absolute_error 0.9168949667129779 relative_absolute_error 0.9051484744554459 relative_absolute_error 0.9157920225007247 root_mean_prior_squared_error 0.17829650589101573 root_mean_prior_squared_error 0.17832554500127015 root_mean_prior_squared_error 0.1782057281722394 root_mean_prior_squared_error 0.1783690948022738 root_mean_prior_squared_error 0.17829650589101576 root_mean_prior_squared_error 0.17836546605831713 root_mean_prior_squared_error 0.17837272347240885 root_mean_prior_squared_error 0.17840719215769374 root_mean_prior_squared_error 0.17833461875349585 root_mean_prior_squared_error 0.17832191537110112 root_mean_squared_error 0.1717958142291836 root_mean_squared_error 0.17416392071861064 root_mean_squared_error 0.16989222465811007 root_mean_squared_error 0.17465693580318054 root_mean_squared_error 0.17297900429799778 root_mean_squared_error 0.17314358393193607 root_mean_squared_error 0.17081716652452542 root_mean_squared_error 0.1729490708655803 root_mean_squared_error 0.17090626110352433 root_mean_squared_error 0.174172385025092 root_relative_squared_error 0.9635399940714167 root_relative_squared_error 0.9766627698649127 root_relative_squared_error 0.9533488423778715 root_relative_squared_error 0.9791883285430792 root_relative_squared_error 0.9701760751482795 root_relative_squared_error 0.9707236930904902 root_relative_squared_error 0.9576417470070634 root_relative_squared_error 0.9694063830829812 root_relative_squared_error 0.9583459582783562 root_relative_squared_error 0.9767301156597962 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 36126.483287000156 usercpu_time_millis 35313.159926998196 usercpu_time_millis 34233.18823599766 usercpu_time_millis 35044.18116999841 usercpu_time_millis 35350.71329899802 usercpu_time_millis 35180.297109000094 usercpu_time_millis 35357.70269800196 usercpu_time_millis 35620.23600300017 usercpu_time_millis 35979.38832799991 usercpu_time_millis 34841.72951599794 usercpu_time_millis_testing 122.65507499978412 usercpu_time_millis_testing 124.97111499942548 usercpu_time_millis_testing 126.9668279983307 usercpu_time_millis_testing 126.01388899929589 usercpu_time_millis_testing 132.7671069993812 usercpu_time_millis_testing 127.06343399986508 usercpu_time_millis_testing 122.70761800027685 usercpu_time_millis_testing 138.69978799993987 usercpu_time_millis_testing 129.6281729992188 usercpu_time_millis_testing 128.04452699856483 usercpu_time_millis_training 36003.82821200037 usercpu_time_millis_training 35188.18881199877 usercpu_time_millis_training 34106.22140799933 usercpu_time_millis_training 34918.167280999114 usercpu_time_millis_training 35217.946191998635 usercpu_time_millis_training 35053.23367500023 usercpu_time_millis_training 35234.99508000168 usercpu_time_millis_training 35481.53621500023 usercpu_time_millis_training 35849.760155000695 usercpu_time_millis_training 34713.684988999375