9040120 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) 6975046 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 true 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.031159777396908783 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 9 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 18994769 description https://api.openml.org/data/download/18994769/description.xml -1 18994770 predictions https://api.openml.org/data/download/18994770/predictions.arff area_under_roc_curve 0.8554991340096141 [0.885603,0.870275,0.935731,0.787685,0.902605,0.758206,0.788829,0.890893,0.850408,0.910189,0.909921,0.934775,0.933556,0.910473,0.745151,0.899629,0.933501,0.954521,0.86099,0.847856,0.660736,0.793413,0.934192,0.869389,0.893356,0.904244,0.861838,0.907383,0.91857,0.68853] average_cost 0 kappa 0.22168133866550824 kb_relative_information_score 225.58119605632433 mean_absolute_error 0.060336766200567854 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 0.26899999999999996 prior_entropy 4.664224865324832 recall 0.269 [0.431818,0,0,0,0.388889,0.104167,0.333333,0,0.45,0.172414,0,0,0.37931,0.344828,0,0.409091,0.296296,0,0,0.277778,0,0.4,0.133333,0.6375,0.068966,0.25,0,0.275862,0.241379,0] relative_absolute_error 0.9482936850466437 root_mean_prior_squared_error 0.17832953750912986 root_mean_squared_error 0.17144082192765958 root_relative_squared_error 0.9613708661072615 total_cost 0 area_under_roc_curve 0.8499386328899148 [0.869474,0.965636,1,0.989899,0.994792,0.766316,0.718894,0.934708,0.887228,0.94898,0.979592,0.878788,0.969072,0.896907,0.79798,0.898438,0.972509,0.897959,0.555556,0.901042,0.509474,0.669837,0.965636,0.887228,0.883162,0.897959,0.79798,0.941581,0.876289,0.818182] area_under_roc_curve 0.8577624942902702 [0.882812,0.917526,0.984694,0.878788,0.917526,0.585263,0.869432,0.879725,0.927989,0.883162,0.883162,0.979798,0.85567,0.804124,0.979798,0.958333,0.797251,0.954082,1,0.942708,0.842105,0.705163,0.989691,0.877717,0.742268,0.704082,0.0,0.938144,0.972509,0.464646] area_under_roc_curve 0.8527114236592576 [0.742188,0.907216,0.984694,0.959596,0.907216,0.766316,0.686141,0.948454,0.830163,0.886598,0.896907,0.909091,0.924399,0.910653,0.0,0.885417,0.986254,0.994898,1,0.908854,0.635789,0.841033,0.879725,0.875,0.938144,0.918367,0.0,0.945017,0.962199,0.313131] area_under_roc_curve 0.8476415976999323 [0.872396,0.945017,0.989796,0.80102,0.845361,0.755789,0.850543,0.965636,0.741848,0.900344,0.982818,0.919192,0.943878,0.910653,0.727273,0.888021,0.962199,0.979592,0.954082,0.664062,0.707368,0.721966,0.969072,0.80163,0.943878,0.892857,0.0,0.90378,0.931271,0.939394] area_under_roc_curve 0.8578303640544579 [0.973958,0.841837,0.928571,0.744898,0.962199,0.787368,0.732337,0.907216,0.853261,0.914089,0.945017,0.0,0.876289,0.927835,0.606061,0.950521,0.95189,0.984694,0.928571,0.817708,0.562105,0.801843,0.907216,0.91712,0.852234,0.986254,0.0,0.862543,0.896907,0.0] area_under_roc_curve 0.8634491114684403 [0.963542,0.989796,1,0.647959,0.914062,0.747368,0.824728,0.993127,0.786685,0.962199,0.836735,0.0,0.938144,0.907216,0.838384,0.916667,0.958763,0.969388,0.897959,0.835052,0.545263,0.887865,0.972509,0.839674,0.879725,0.896907,0.949495,0.918367,0.938144,0.727273] area_under_roc_curve 0.8690661218475065 [0.75,0.663265,0.80102,0.821429,0.796875,0.921875,0.900815,0.800687,0.89538,0.914089,0.795918,0.0,0.982818,0.962199,0.555556,0.991579,0.955326,0.984694,0.647959,0.910653,0.669474,0.812596,0.948454,0.896739,0.920962,0.890034,0.777778,0.975945,0.989796,0.969697] area_under_roc_curve 0.8555399193046364 [0.949474,0.862543,0.989796,0.923469,0.820312,0.627604,0.880184,0.95189,0.826087,0.938144,0.97449,0.0,0.945017,0.962199,0.464646,0.816842,0.97449,0.959596,0.857143,0.982818,0.68,0.786482,0.876289,0.785326,0.910653,0.917526,0.929293,0.924399,0.872852,0.747475] area_under_roc_curve 0.8597581981131027 [0.938947,0.886598,0.606061,0.734694,0.901042,0.84,0.700461,0.900344,0.811141,0.879725,0.826531,1,0.965636,0.931271,0.888889,0.892632,0.943878,0.858586,0.928571,0.769759,0.747396,0.813859,0.924399,0.911685,0.969072,0.964286,1,0.917526,0.876289,0.616162] area_under_roc_curve 0.8673549144550665 [0.924211,0.704467,1,0.663265,0.992188,0.821053,0.737327,0.71134,0.945652,0.910653,0.908163,0.949495,0.945017,0.908163,0.818182,0.84,0.811224,0.969697,0.897959,0.893229,0.78125,0.896739,0.910653,0.907609,0.914089,0.989796,0.858586,0.786942,0.914089,0.636364] 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 0.22016878538617668 kappa 0.1908868306185457 kappa 0.17857904843183273 kappa 0.13857279591619695 kappa 0.23101570009612304 kappa 0.22356945330780686 kappa 0.28995337007206445 kappa 0.2024670353041259 kappa 0.24347362812999465 kappa 0.2979470269120306 kb_relative_information_score 22.69543549942988 kb_relative_information_score 21.509965466695185 kb_relative_information_score 22.954587285088607 kb_relative_information_score 21.744656465931953 kb_relative_information_score 22.235124898982143 kb_relative_information_score 23.298916604013613 kb_relative_information_score 23.33213396598213 kb_relative_information_score 22.75717182608727 kb_relative_information_score 22.226031096992184 kb_relative_information_score 22.827172947121095 mean_absolute_error 0.06028265468841992 mean_absolute_error 0.060496460086106874 mean_absolute_error 0.06026114185758973 mean_absolute_error 0.06067989020551579 mean_absolute_error 0.060372725125626615 mean_absolute_error 0.0602064404154919 mean_absolute_error 0.0600331579922228 mean_absolute_error 0.06042376981444346 mean_absolute_error 0.06041518726124772 mean_absolute_error 0.06019623455901422 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 0.27 predictive_accuracy 0.24 predictive_accuracy 0.23 predictive_accuracy 0.19 predictive_accuracy 0.28 predictive_accuracy 0.27 predictive_accuracy 0.33 predictive_accuracy 0.25 predictive_accuracy 0.29 predictive_accuracy 0.34 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 0.27 [0.2,0,0,0,0.25,0.2,0.142857,0,0.75,0,0,0,0.333333,0.666667,0,0.25,0.333333,0,0,0.25,0,0.125,0,0.875,0,0,0,0.666667,0.333333,0] recall 0.24 [0.25,0,0,0,0,0,0.428571,0,0.625,0,0,0,0,0.333333,0,0.75,0.666667,0,0,0.5,0,0.125,0,0.75,0,0,0.0,0,0,0] recall 0.23 [0,0,0,0,0.333333,0,0.5,0,0.25,0.333333,0,0,0.666667,0,0.0,0.25,0.666667,0,0,0,0,0.375,0.333333,0.5,0,0.5,0.0,0.333333,0,0] recall 0.19 [0.75,0,0,0,0.333333,0.2,0.125,0,0.375,0,0,0,0.5,0,0,0.5,0,0,0,0,0,0.285714,0,0.5,0,0,0.0,0,0.333333,0] recall 0.28 [0.5,0,0,0,0.333333,0,0.5,0,0.625,0,0,0.0,0,0.666667,0,0.5,0,0,0,0,0,0.571429,0,0.625,0,0.666667,0.0,0,0.333333,0.0] recall 0.27 [0.75,0,0,0,0.5,0,0.125,0,0.5,0.333333,0,0.0,0.333333,0.333333,0,0.25,0,0,0,0.666667,0,0.714286,0,0.5,0,0.333333,0,0,0.333333,0] recall 0.33 [0.25,0,0,0,0.75,0,0.25,0,0.375,0,0,0.0,0.333333,0.333333,0,0.6,0.333333,0,0,0.666667,0,0.571429,0.333333,0.625,0.333333,0,0,1,1,0] recall 0.25 [0.8,0,0,0,0.25,0,0.428571,0,0.5,0.333333,0,0.0,0.333333,0,0,0.4,0,0,0,0,0,0.285714,0.333333,0.5,0.333333,0,0,0.333333,0,0] recall 0.29 [0.4,0,0,0,0.25,0.2,0.142857,0,0.25,0.666667,0,0,0.666667,0.666667,0,0.2,0.5,0,0,0.666667,0,0.5,0.333333,0.625,0,0.5,0,0,0.333333,0] recall 0.34 [0.4,0,0,0,0.75,0.4,0.714286,0,0.25,0,0,0,0.666667,0.5,0,0.4,0.5,0,0,0.25,0,0.5,0,0.875,0,0.5,0,0.333333,0,0] relative_absolute_error 0.9476186752160436 relative_absolute_error 0.9508248220571021 relative_absolute_error 0.9477626525166813 relative_absolute_error 0.9534750100942992 relative_absolute_error 0.9490345456488092 relative_absolute_error 0.946054844155844 relative_absolute_error 0.9432935927871724 relative_absolute_error 0.9492478022829115 relative_absolute_error 0.9494991589386995 relative_absolute_error 0.9461254172847846 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 0.17149002715344444 root_mean_squared_error 0.17176677757580575 root_mean_squared_error 0.17112922824603663 root_mean_squared_error 0.17268526089883232 root_mean_squared_error 0.17154531048329416 root_mean_squared_error 0.1711376402650202 root_mean_squared_error 0.17050485660464976 root_mean_squared_error 0.1717117539282703 root_mean_squared_error 0.1714603737554354 root_mean_squared_error 0.1709681521603643 root_relative_squared_error 0.96182494601587 root_relative_squared_error 0.963220258626336 root_relative_squared_error 0.9602902779905976 root_relative_squared_error 0.9681344242412502 root_relative_squared_error 0.9621350100273515 root_relative_squared_error 0.9594774372358955 root_relative_squared_error 0.9558908631622923 root_relative_squared_error 0.9624710296235962 root_relative_squared_error 0.9614531096311567 root_relative_squared_error 0.9587613042657539 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 2652.589146000537 usercpu_time_millis 2666.190916001142 usercpu_time_millis 2659.0979270004027 usercpu_time_millis 2663.180875000762 usercpu_time_millis 2660.311231999003 usercpu_time_millis 2665.6463269991946 usercpu_time_millis 2650.032966001163 usercpu_time_millis 2669.585198002096 usercpu_time_millis 2605.3317179976148 usercpu_time_millis 2634.4378350004263 usercpu_time_millis_testing 127.20493800043187 usercpu_time_millis_testing 123.60222700044687 usercpu_time_millis_testing 124.74876700071036 usercpu_time_millis_testing 122.25370200030738 usercpu_time_millis_testing 126.85932899876207 usercpu_time_millis_testing 129.76925099974324 usercpu_time_millis_testing 129.3414540014055 usercpu_time_millis_testing 160.02211200066085 usercpu_time_millis_testing 120.9536289989046 usercpu_time_millis_testing 124.86694499966688 usercpu_time_millis_training 2525.384208000105 usercpu_time_millis_training 2542.588689000695 usercpu_time_millis_training 2534.3491599996923 usercpu_time_millis_training 2540.927173000455 usercpu_time_millis_training 2533.451903000241 usercpu_time_millis_training 2535.8770759994513 usercpu_time_millis_training 2520.6915119997575 usercpu_time_millis_training 2509.5630860014353 usercpu_time_millis_training 2484.37808899871 usercpu_time_millis_training 2509.5708900007594