9040098 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) 6975024 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 0.44486528467261044 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 14 7684 min_samples_split 6 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 18994725 description https://api.openml.org/data/download/18994725/description.xml -1 18994726 predictions https://api.openml.org/data/download/18994726/predictions.arff area_under_roc_curve 0.8457385113571096 [0.902601,0.854478,0.915445,0.796062,0.888169,0.720391,0.790602,0.853058,0.843954,0.90962,0.888277,0.875755,0.927554,0.89957,0.656127,0.897418,0.915915,0.914188,0.829873,0.870764,0.635854,0.777196,0.918488,0.863872,0.88636,0.889045,0.885647,0.90923,0.923932,0.761408] average_cost 0 kappa 0.22732844045242567 kb_relative_information_score 289.2685895065141 mean_absolute_error 0.058304452137268294 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 0.27 prior_entropy 4.664224865324832 recall 0.27 [0.409091,0.074074,0.294118,0,0.277778,0.083333,0.4,0,0.45,0.344828,0.083333,0,0.413793,0.137931,0,0.431818,0.444444,0.058824,0,0.194444,0,0.32,0.4,0.45,0.034483,0.375,0,0.241379,0.310345,0] relative_absolute_error 0.9163524539595804 root_mean_prior_squared_error 0.17832953750912986 root_mean_squared_error 0.16913120595732645 root_relative_squared_error 0.9484194728462607 total_cost 0 area_under_roc_curve 0.8333817665537333 [0.842105,0.965636,1,1,0.966146,0.734737,0.723502,0.865979,0.892663,0.943878,0.938776,0.757576,0.955326,0.869416,0.777778,0.880208,0.945017,0.892857,0.808081,0.901042,0.435789,0.627717,0.986254,0.868207,0.85567,0.882653,0.828283,0.941581,0.914089,0.727273] area_under_roc_curve 0.8429184292590868 [0.927083,0.955326,0.989796,0.838384,0.927835,0.538947,0.804916,0.821306,0.94837,0.910653,0.927835,0.878788,0.869416,0.783505,0.656566,0.960938,0.766323,0.959184,0.878788,0.966146,0.789474,0.714674,0.975945,0.830163,0.756014,0.622449,0.0,0.948454,0.941581,0.505051] area_under_roc_curve 0.8612597255621565 [0.796875,0.886598,0.964286,0.929293,0.845361,0.814737,0.78125,0.931271,0.820652,0.872852,0.859107,0.969697,0.927835,0.862543,0.0,0.875,0.982818,0.97449,1,0.942708,0.572632,0.83288,0.85567,0.910326,0.938144,0.954082,0.0,0.979381,0.931271,0.666667] area_under_roc_curve 0.8409465382040431 [0.921875,0.890034,0.994898,0.877551,0.810997,0.751579,0.820652,0.893471,0.771739,0.910653,0.934708,0.979798,0.954082,0.931271,0.737374,0.861979,0.958763,0.964286,0.80102,0.653646,0.766316,0.721966,0.955326,0.763587,0.959184,0.933673,0.0,0.876289,0.927835,0.89899] area_under_roc_curve 0.8521095820989153 [0.984375,0.755102,0.841837,0.765306,0.945017,0.621053,0.807065,0.907216,0.817935,0.869416,0.938144,0.0,0.876289,0.934708,0.535354,0.960938,0.927835,0.913265,0.892857,0.890625,0.644211,0.771121,0.838488,0.932065,0.859107,0.989691,0.0,0.893471,0.958763,0.0] area_under_roc_curve 0.8702941444147813 [0.950521,0.97449,0.969388,0.744898,0.9375,0.810526,0.798913,0.989691,0.758152,0.975945,0.862245,0.0,0.900344,0.907216,0.79798,0.966146,0.927835,0.964286,0.954082,0.841924,0.595789,0.869432,0.948454,0.866848,0.917526,0.872852,1,0.928571,0.965636,0.767677] area_under_roc_curve 0.8578692031887047 [0.791667,0.780612,0.709184,0.760204,0.783854,0.901042,0.838315,0.752577,0.898098,0.907216,0.765306,0.0,0.996564,0.979381,0.59596,0.945263,0.958763,0.892857,0.622449,0.927835,0.593684,0.841782,0.962199,0.921196,0.848797,0.900344,0.858586,0.965636,0.984694,0.949495] area_under_roc_curve 0.8519561846897552 [0.92,0.876289,0.984694,0.897959,0.84375,0.585938,0.920123,0.883162,0.813859,0.90378,0.918367,0.0,0.914089,0.958763,0.373737,0.856842,0.964286,0.878788,0.882653,0.972509,0.701053,0.809524,0.786942,0.771739,0.958763,0.914089,0.868687,0.945017,0.872852,0.919192] area_under_roc_curve 0.8532531069187742 [0.966316,0.800687,0.818182,0.841837,0.924479,0.766316,0.697389,0.893471,0.802989,0.893471,0.862245,1,0.965636,0.917526,0.616162,0.917895,0.943878,0.747475,0.816327,0.762887,0.695312,0.839674,0.948454,0.896739,0.965636,0.882653,1,0.931271,0.848797,0.737374] area_under_roc_curve 0.8400239504466717 [0.972632,0.680412,1,0.530612,0.960938,0.770526,0.71275,0.649485,0.921196,0.890034,0.918367,0.737374,0.941581,0.908163,0.828283,0.795789,0.77551,0.868687,0.852041,0.9375,0.671875,0.797554,0.969072,0.891304,0.890034,0.994898,0.767677,0.793814,0.945017,0.717172] 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 0.20475029159155972 kappa 0.24851820491109228 kappa 0.29100529100529104 kappa 0.14457704087020803 kappa 0.18328383538396267 kappa 0.22784006769621326 kappa 0.2792792792792793 kappa 0.22767668218366482 kappa 0.21493740717165288 kappa 0.25065963060686014 kb_relative_information_score 27.86684365784631 kb_relative_information_score 27.753043374918917 kb_relative_information_score 30.277958457389076 kb_relative_information_score 27.751603910112916 kb_relative_information_score 28.394998528253527 kb_relative_information_score 30.353063717845657 kb_relative_information_score 29.977300498794616 kb_relative_information_score 29.36143820147156 kb_relative_information_score 29.239300590169847 kb_relative_information_score 28.293038569711516 mean_absolute_error 0.05852294959462224 mean_absolute_error 0.05860486919106596 mean_absolute_error 0.05789702075791789 mean_absolute_error 0.05887184673287324 mean_absolute_error 0.058485453612434804 mean_absolute_error 0.05814784647497261 mean_absolute_error 0.05773333029320792 mean_absolute_error 0.05839121908134813 mean_absolute_error 0.05809255264408261 mean_absolute_error 0.058297432990157765 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 0.29 predictive_accuracy 0.33 predictive_accuracy 0.19 predictive_accuracy 0.23 predictive_accuracy 0.27 predictive_accuracy 0.32 predictive_accuracy 0.27 predictive_accuracy 0.26 predictive_accuracy 0.29 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 [0.4,0,1,0,0.25,0,0.285714,0,0.75,0.5,0,0,0.333333,0,0,0.5,0.333333,0,0,0,0,0.25,0.333333,0.375,0,0,0,0.333333,0.333333,0] recall 0.29 [0.25,0,0,0,0,0.2,0.571429,0,0.625,0.333333,0,0,0.333333,0,0,1,0.666667,0,0,0.5,0,0.25,0.333333,0.5,0,0,0.0,0.333333,0,0] recall 0.33 [0,0.333333,0.5,0,0,0,0.5,0,0.375,0.333333,0,0,0.333333,0,0.0,0.25,1,0.5,0,0.25,0,0.625,0.666667,0.625,0,0.5,0.0,0.666667,0.333333,0] recall 0.19 [0.75,0,0.5,0,0,0,0.5,0,0.375,0.333333,0,0,0.5,0,0,0.25,0.333333,0,0,0,0,0.142857,0,0.25,0,0,0.0,0,0.333333,0] recall 0.23 [0.25,0,0,0,0.333333,0,0.375,0,0.5,0.333333,0,0.0,0,0,0,0.5,0.333333,0,0,0,0,0.285714,0.333333,0.375,0,1,0.0,0,0.333333,0.0] recall 0.27 [0.5,0,0.5,0,0.5,0,0.375,0,0.375,0.666667,0.5,0.0,0,0.333333,0,0.75,0,0,0,0,0,0.285714,0,0.5,0,0.666667,0,0,0.333333,0] recall 0.32 [0.25,0,0,0,0.5,0.25,0.375,0,0.625,0,0,0.0,0.666667,0.666667,0,0.2,0.333333,0,0,0.333333,0,0.428571,0.666667,0.5,0,0,0,0.666667,1,0] recall 0.27 [0.8,0,0,0,0.25,0,0.428571,0,0.5,0.333333,0,0.0,0.333333,0.333333,0,0.4,0.5,0,0,0.333333,0,0.285714,0.666667,0.375,0,0.333333,0,0,0,0] recall 0.26 [0.4,0,0,0,0.5,0,0.142857,0,0.25,0.333333,0,0,1,0,0,0.2,0.5,0,0,0.333333,0,0.375,0.333333,0.5,0.333333,0.5,0,0.333333,0.333333,0] recall 0.29 [0.4,0.333333,1,0,0.25,0.4,0.428571,0,0.125,0.333333,0.5,0,0.666667,0,0,0.4,0.5,0,0,0.25,0,0.25,0.666667,0.5,0,0.5,0,0,0.333333,0] relative_absolute_error 0.9199568308866197 relative_absolute_error 0.9210946267097688 relative_absolute_error 0.9105807204253392 relative_absolute_error 0.9250648685714643 relative_absolute_error 0.9193674093830375 relative_absolute_error 0.9137070960388999 relative_absolute_error 0.9071566843593958 relative_absolute_error 0.9173167539166102 relative_absolute_error 0.9129960921521342 relative_absolute_error 0.9162812843446404 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 0.1700689868550538 root_mean_squared_error 0.1696630147880705 root_mean_squared_error 0.1680943977711927 root_mean_squared_error 0.17131604734006076 root_mean_squared_error 0.16908168254045505 root_mean_squared_error 0.16903681801832207 root_mean_squared_error 0.1674463097605078 root_mean_squared_error 0.16913318179231948 root_mean_squared_error 0.1686747238259992 root_mean_squared_error 0.168766736239044 root_relative_squared_error 0.9538548498477529 root_relative_squared_error 0.9514229427245663 root_relative_squared_error 0.9432603513660689 root_relative_squared_error 0.9604581305408791 root_relative_squared_error 0.9483174204423653 root_relative_squared_error 0.9476992478076163 root_relative_squared_error 0.9387439205995465 root_relative_squared_error 0.9480177326193386 root_relative_squared_error 0.9458327553280662 root_relative_squared_error 0.9464161255100245 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 17652.75476700117 usercpu_time_millis 17397.68677200118 usercpu_time_millis 17123.175595999783 usercpu_time_millis 17450.93440599885 usercpu_time_millis 17461.56446200075 usercpu_time_millis 17890.275507001206 usercpu_time_millis 17380.063356999017 usercpu_time_millis 17333.48237700011 usercpu_time_millis 17267.24216599905 usercpu_time_millis 17187.704502999622 usercpu_time_millis_testing 125.25633400036895 usercpu_time_millis_testing 134.73523699940415 usercpu_time_millis_testing 125.28722199931508 usercpu_time_millis_testing 126.10286199924303 usercpu_time_millis_testing 140.18908199977886 usercpu_time_millis_testing 129.3314280010236 usercpu_time_millis_testing 125.4427649982972 usercpu_time_millis_testing 125.85442700037675 usercpu_time_millis_testing 127.53793899901211 usercpu_time_millis_testing 126.7767190001905 usercpu_time_millis_training 17527.4984330008 usercpu_time_millis_training 17262.951535001775 usercpu_time_millis_training 16997.888374000468 usercpu_time_millis_training 17324.831543999608 usercpu_time_millis_training 17321.375380000973 usercpu_time_millis_training 17760.944079000183 usercpu_time_millis_training 17254.62059200072 usercpu_time_millis_training 17207.627949999733 usercpu_time_millis_training 17139.70422700004 usercpu_time_millis_training 17060.927783999432