5973873 1 Jan van Rijn 14967 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 4008606 class_weight null 6941 criterion "gini" 6941 max_depth 5 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 31467 6941 splitter "best" 6941 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 algorithm "SAMME" 6971 learning_rate 0.014558912648412085 6971 n_estimators 150 6971 random_state 9166 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 12871105 description https://api.openml.org/data/download/12871105/description.xml -1 12871106 predictions https://api.openml.org/data/download/12871106/predictions.arff area_under_roc_curve 0.9386337137376659 [0.954628,0.940652,0.918028,0.933871,0.962146,0.926994] average_cost 0 f_measure 0.7628929587527217 [0.880466,0.79292,0.729623,0.774269,0.728395,0.591837] kappa 0.7028015893595277 kb_relative_information_score 133.20580014893133 mean_absolute_error 0.27608321621125614 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8377164185002723 [1,1,0.590537,0.962209,0.634409,0.983051] predictive_accuracy 0.7607296137339056 prior_entropy 2.5206634795042744 recall 0.7607296137339056 [0.786458,0.656891,0.954412,0.64775,0.855072,0.423358] relative_absolute_error 1.0117386577190317 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.3704123481312322 root_relative_squared_error 1.0028199591100118 total_cost 0 area_under_roc_curve 0.943134428240385 [0.949751,0.913797,0.942633,0.948412,0.958975,0.933461] area_under_roc_curve 0.9431934336260004 [0.935112,0.965626,0.904342,0.961855,0.971068,0.952239] area_under_roc_curve 0.950566190905515 [0.981244,0.946557,0.916759,0.947855,0.971987,0.947562] area_under_roc_curve 0.9483911952213396 [0.967109,0.905428,0.941662,0.942546,0.966374,0.962443] area_under_roc_curve 0.9356669713217058 [0.961207,0.974175,0.899695,0.922149,0.955404,0.918972] area_under_roc_curve 0.9314924949669297 [0.936743,0.928513,0.913603,0.934797,0.971017,0.902869] area_under_roc_curve 0.9442922660192373 [0.941402,0.960144,0.950585,0.938123,0.96745,0.890212] area_under_roc_curve 0.9591877340303835 [0.98455,0.966507,0.934799,0.945003,0.979455,0.953116] area_under_roc_curve 0.94690138118331 [0.972301,0.953361,0.919849,0.95743,0.955194,0.920488] area_under_roc_curve 0.9296977546474753 [0.951636,0.92443,0.916818,0.892415,0.953134,0.956423] 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 0.7242306789392264 [0.862745,0.716981,0.713514,0.725,0.686275,0.526316] f_measure 0.8000907737644699 [0.851485,0.827586,0.755814,0.879121,0.770833,0.666667] f_measure 0.8150392419743738 [0.925926,0.847458,0.759036,0.8,0.783505,0.755556] f_measure 0.7934112385813785 [0.873786,0.827586,0.757062,0.840909,0.73913,0.666667] f_measure 0.7358138945630618 [0.862745,0.763636,0.680628,0.746988,0.73913,0.540541] f_measure 0.7452253397641747 [0.873786,0.833333,0.722222,0.740741,0.666667,0.540541] f_measure 0.7525832034338541 [0.848485,0.807018,0.731183,0.771084,0.744681,0.512821] f_measure 0.7769295766398967 [0.914286,0.847458,0.745763,0.740741,0.755102,0.578947] f_measure 0.7692659281106171 [0.924528,0.716981,0.711864,0.840909,0.729167,0.578947] f_measure 0.7100029508409558 [0.86,0.716981,0.72619,0.652632,0.679245,0.5] kappa 0.6577017114914425 kappa 0.7479907154474111 kappa 0.7662255828607435 kappa 0.7385745031016583 kappa 0.6655891204993869 kappa 0.6806134250091095 kappa 0.6919889281771492 kappa 0.7239563385675986 kappa 0.7100163100834693 kappa 0.6444104573913875 kb_relative_information_score 13.22778526121815 kb_relative_information_score 13.605408259944895 kb_relative_information_score 13.609767653234282 kb_relative_information_score 13.616040544973243 kb_relative_information_score 13.107693374104354 kb_relative_information_score 13.226932432226828 kb_relative_information_score 13.106928955656661 kb_relative_information_score 13.392242567192882 kb_relative_information_score 13.169248847635437 kb_relative_information_score 13.14375225274367 mean_absolute_error 0.27619632430547786 mean_absolute_error 0.2760332469414366 mean_absolute_error 0.2759187380795787 mean_absolute_error 0.27592499741535104 mean_absolute_error 0.2761093134062019 mean_absolute_error 0.27616138345081953 mean_absolute_error 0.2761808635195249 mean_absolute_error 0.276013047078514 mean_absolute_error 0.2760524109748628 mean_absolute_error 0.27624239354893554 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.8317270161532456 [1,1,0.564103,1,0.57377,1] precision 0.8610064935064935 [1,1,0.625,1,0.672727,1] precision 0.8661989795918368 [1,1,0.642857,1,0.678571,1] precision 0.8576124945391 [1,1,0.614679,1,0.666667,1] precision 0.8366724738675959 [1,1,0.528455,1,0.666667,1] precision 0.8349709711470795 [1,1,0.580357,1,0.568966,1] precision 0.8313823349361896 [1,1,0.576271,1,0.673077,0.833333] precision 0.8527753115648943 [1,1,0.605505,1,0.660714,1] precision 0.8441755358989255 [1,1,0.577982,1,0.648148,1] precision 0.7850782013685239 [1,1,0.61,0.704545,0.5625,1] predictive_accuracy 0.725 predictive_accuracy 0.7964285714285714 predictive_accuracy 0.8107142857142857 predictive_accuracy 0.7892857142857143 predictive_accuracy 0.7321428571428571 predictive_accuracy 0.7428571428571429 predictive_accuracy 0.7526881720430108 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.7670250896057348 predictive_accuracy 0.7132616487455198 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.725 [0.758621,0.558824,0.970588,0.568627,0.853659,0.357143] recall 0.7964285714285714 [0.741379,0.705882,0.955882,0.784314,0.902439,0.5] recall 0.8107142857142857 [0.862069,0.735294,0.926471,0.666667,0.926829,0.607143] recall 0.7892857142857143 [0.775862,0.705882,0.985294,0.72549,0.829268,0.5] recall 0.7321428571428571 [0.758621,0.617647,0.955882,0.596154,0.829268,0.37037] recall 0.7428571428571429 [0.775862,0.714286,0.955882,0.588235,0.804878,0.37037] recall 0.7526881720430108 [0.736842,0.676471,1,0.627451,0.833333,0.37037] recall 0.7777777777777778 [0.842105,0.735294,0.970588,0.588235,0.880952,0.407407] recall 0.7670250896057348 [0.859649,0.558824,0.926471,0.72549,0.833333,0.407407] recall 0.7132616487455197 [0.754386,0.558824,0.897059,0.607843,0.857143,0.333333] relative_absolute_error 1.0120603934596317 relative_absolute_error 1.0114628324977653 relative_absolute_error 1.011043240078938 relative_absolute_error 1.0110661760316177 relative_absolute_error 1.0121149999500243 relative_absolute_error 1.0120379236583812 relative_absolute_error 1.0121159538317535 relative_absolute_error 1.0115009593853679 relative_absolute_error 1.0116452156781173 relative_absolute_error 1.012341442026745 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.37056369246325316 root_mean_squared_error 0.3703454721911255 root_mean_squared_error 0.3701917580408341 root_mean_squared_error 0.37020040748912514 root_mean_squared_error 0.37044707046262376 root_mean_squared_error 0.37051756804780295 root_mean_squared_error 0.3705430723147888 root_mean_squared_error 0.3703178562883455 root_mean_squared_error 0.3703713494354605 root_mean_squared_error 0.37062570120705424 root_relative_squared_error 1.0031377513207977 root_relative_squared_error 1.0025470161853083 root_relative_squared_error 1.0021309029227148 root_relative_squared_error 1.0021543174889158 root_relative_squared_error 1.0031922437847336 root_relative_squared_error 1.003117522472658 root_relative_squared_error 1.0031931553482143 root_relative_squared_error 1.002583414691639 root_relative_squared_error 1.0027282398497739 root_relative_squared_error 1.003416861430848 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 1380.5770959999998 usercpu_time_millis 1364.4945750000002 usercpu_time_millis 1385.3629190000013 usercpu_time_millis 1380.6213279999984 usercpu_time_millis 1388.8116760000014 usercpu_time_millis 1374.997446000002 usercpu_time_millis 1377.730302 usercpu_time_millis 1375.249236 usercpu_time_millis 1383.0482149999987 usercpu_time_millis 1370.6545450000008 usercpu_time_millis_testing 30.76270799999925 usercpu_time_millis_testing 31.19039300000015 usercpu_time_millis_testing 30.923361000001037 usercpu_time_millis_testing 30.656460999999524 usercpu_time_millis_testing 30.989228000001035 usercpu_time_millis_testing 31.121528000001675 usercpu_time_millis_testing 30.833596999999102 usercpu_time_millis_testing 30.92772199999949 usercpu_time_millis_testing 30.62585300000009 usercpu_time_millis_testing 30.760196999999323 usercpu_time_millis_training 1349.8143880000005 usercpu_time_millis_training 1333.304182 usercpu_time_millis_training 1354.4395580000003 usercpu_time_millis_training 1349.9648669999988 usercpu_time_millis_training 1357.8224480000003 usercpu_time_millis_training 1343.8759180000002 usercpu_time_millis_training 1346.8967050000008 usercpu_time_millis_training 1344.3215140000007 usercpu_time_millis_training 1352.4223619999987 usercpu_time_millis_training 1339.8943480000014