6021422 1 Jan van Rijn 3950 Supervised Classification predictive_accuracy 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) 4056107 class_weight null 6941 criterion "gini" 6941 max_depth 3 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 53605 6941 splitter "best" 6941 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0] 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 0.03934317027150858 6971 n_estimators 476 6971 random_state 26714 6971 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 12965965 description https://api.openml.org/data/download/12965965/description.xml -1 12965966 predictions https://api.openml.org/data/download/12965966/predictions.arff area_under_roc_curve 0.996509085732478 [0.996509,0.996509] average_cost 0 f_measure 0.9430546927718962 [0.969808,0.796242] kappa 0.7673519241302014 kb_relative_information_score -9235.831240586207 mean_absolute_error 0.4068022286443213 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9496998807424772 [0.942659,0.988338] predictive_accuracy 0.9474083055471355 prior_entropy 0.6203559250859288 recall 0.9474083055471355 [0.998567,0.666667] relative_absolute_error 1.5596395753827113 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.40934505280484884 root_relative_squared_error 1.1336665988346524 total_cost 0 area_under_roc_curve 0.9961919268849962 [0.996192,0.996192] area_under_roc_curve 0.9976807927472064 [0.997681,0.997681] area_under_roc_curve 0.9963806311054889 [0.996381,0.996381] area_under_roc_curve 0.9976807927472064 [0.997681,0.997681] area_under_roc_curve 0.9970131421744325 [0.997013,0.997013] area_under_roc_curve 0.9962225033382529 [0.996223,0.996223] area_under_roc_curve 0.9933059245203456 [0.993306,0.993306] area_under_roc_curve 0.994201981868016 [0.994202,0.994202] area_under_roc_curve 0.9985450157919017 [0.998545,0.998545] area_under_roc_curve 0.9982966038539338 [0.998297,0.998297] 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 0.9422175124638367 [0.969644,0.790419] f_measure 0.938628585295702 [0.96791,0.778443] f_measure 0.9292685054343084 [0.963731,0.740741] f_measure 0.9422846751590988 [0.969592,0.792899] f_measure 0.9500026287160945 [0.972878,0.824859] f_measure 0.9404626623376623 [0.96875,0.785714] f_measure 0.9375177865612648 [0.966957,0.776471] f_measure 0.9554217311686555 [0.975395,0.846154] f_measure 0.94754814616916 [0.972125,0.811765] f_measure 0.9460617873683922 [0.971229,0.807018] kappa 0.7615803814713898 kappa 0.7481435643564358 kappa 0.7072243346007606 kappa 0.7639774399215304 kappa 0.7984633569739952 kappa 0.7560975609756097 kappa 0.7449353185257503 kappa 0.8219653179190749 kappa 0.78501814623007 kappa 0.7793280500055808 kb_relative_information_score -933.1390291320413 kb_relative_information_score -928.4841132622529 kb_relative_information_score -921.3187719029484 kb_relative_information_score -917.4629089024478 kb_relative_information_score -917.2091649009095 kb_relative_information_score -939.7763392019768 kb_relative_information_score -918.6189542469215 kb_relative_information_score -908.2393993452304 kb_relative_information_score -925.8609723192073 kb_relative_information_score -925.7215873722649 mean_absolute_error 0.4080556451220271 mean_absolute_error 0.4084296215352307 mean_absolute_error 0.40671953818376555 mean_absolute_error 0.40550292353252393 mean_absolute_error 0.40523296709524537 mean_absolute_error 0.41120885803612645 mean_absolute_error 0.4059848899453032 mean_absolute_error 0.4033048833430452 mean_absolute_error 0.40675462225075265 mean_absolute_error 0.4068283047775956 mean_prior_absolute_error 0.2600651974288342 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.2602257782682673 mean_prior_absolute_error 0.2602257782682673 number_of_instances 660 [559,101] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 659 [558,101] number_of_instances 659 [558,101] precision 0.9500943781246812 [0.941077,1] precision 0.9474255156608098 [0.937815,1] precision 0.9408181818181819 [0.93,1] precision 0.9500996474015024 [0.940978,1] precision 0.9539673659673659 [0.950427,0.973333] precision 0.9487603305785125 [0.939394,1] precision 0.944041769041769 [0.939189,0.970588] precision 0.9577625391849529 [0.956897,0.9625] precision 0.9540752552660682 [0.945763,1] precision 0.9518078200052483 [0.945671,0.985714] predictive_accuracy 0.946969696969697 predictive_accuracy 0.9439393939393939 predictive_accuracy 0.9363636363636364 predictive_accuracy 0.946969696969697 predictive_accuracy 0.953030303030303 predictive_accuracy 0.9454545454545454 predictive_accuracy 0.9424242424242425 predictive_accuracy 0.9575757575757575 predictive_accuracy 0.9514415781487102 predictive_accuracy 0.9499241274658574 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 recall 0.946969696969697 [1,0.653465] recall 0.943939393939394 [1,0.637255] recall 0.9363636363636364 [1,0.588235] recall 0.946969696969697 [1,0.656863] recall 0.953030303030303 [0.996416,0.715686] recall 0.9454545454545454 [1,0.647059] recall 0.9424242424242424 [0.996416,0.647059] recall 0.9575757575757575 [0.994624,0.754902] recall 0.9514415781487102 [1,0.683168] recall 0.9499241274658573 [0.998208,0.683168] relative_absolute_error 1.5690513346511497 relative_absolute_error 1.5641875487137964 relative_absolute_error 1.5576383393896296 relative_absolute_error 1.5529789969014385 relative_absolute_error 1.5519451284560035 relative_absolute_error 1.5748313583211686 relative_absolute_error 1.5548248127336344 relative_absolute_error 1.5445610298523502 relative_absolute_error 1.5630835075510023 relative_absolute_error 1.563366656005138 root_mean_prior_squared_error 0.360018747598774 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.3602416958959955 root_mean_prior_squared_error 0.3602416958959955 root_mean_squared_error 0.41047295135849243 root_mean_squared_error 0.4109514996213511 root_mean_squared_error 0.4094277742329987 root_mean_squared_error 0.408053609658598 root_mean_squared_error 0.40759426188052406 root_mean_squared_error 0.41356665094519385 root_mean_squared_error 0.4087155093240587 root_mean_squared_error 0.4060858210906596 root_mean_squared_error 0.4091940246129024 root_mean_squared_error 0.40934244097198164 root_relative_squared_error 1.1401432678054522 root_relative_squared_error 1.1368866510570133 root_relative_squared_error 1.1326713043421561 root_relative_squared_error 1.1288697137349162 root_relative_squared_error 1.1275989400363993 root_relative_squared_error 1.1441213992774488 root_relative_squared_error 1.1307008419695004 root_relative_squared_error 1.1234258777663093 root_relative_squared_error 1.1358874590992372 root_relative_squared_error 1.136299450161821 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 69025.391868 usercpu_time_millis 68483.32631999998 usercpu_time_millis 68584.23958100002 usercpu_time_millis 68646.586821 usercpu_time_millis 68474.73017000004 usercpu_time_millis 68341.80884300004 usercpu_time_millis 68514.89677200004 usercpu_time_millis 68063.95372300012 usercpu_time_millis 68805.62622499997 usercpu_time_millis 68357.50632199996 usercpu_time_millis_testing 155.49064000001067 usercpu_time_millis_testing 154.89845199999763 usercpu_time_millis_testing 156.53027300001554 usercpu_time_millis_testing 154.50177899998607 usercpu_time_millis_testing 156.69424600002912 usercpu_time_millis_testing 156.17597400000705 usercpu_time_millis_testing 155.34897200001296 usercpu_time_millis_testing 155.95344900009422 usercpu_time_millis_testing 155.99837700005992 usercpu_time_millis_testing 157.07208699996045 usercpu_time_millis_training 68869.901228 usercpu_time_millis_training 68328.42786799998 usercpu_time_millis_training 68427.709308 usercpu_time_millis_training 68492.08504200002 usercpu_time_millis_training 68318.03592400001 usercpu_time_millis_training 68185.63286900002 usercpu_time_millis_training 68359.54780000003 usercpu_time_millis_training 67908.00027400002 usercpu_time_millis_training 68649.62784799992 usercpu_time_millis_training 68200.434235