10586409 28997 Marc Boel 9977 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302691 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "most_frequent" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.30472225797399605 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 906 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 34 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 8929 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.05197744965023932 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099086 description https://api.openml.org/data/download/22099086/description.xml -1 22099087 predictions https://api.openml.org/data/download/22099087/predictions.arff area_under_roc_curve 0.9933886091860447 [0.993389,0.993389] average_cost 0 f_measure 0.9644179613987771 [0.937554,0.975159] kappa 0.9127132973258084 kb_relative_information_score 0.869289396259962 mean_absolute_error 0.05541300464408229 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.964456695198027 [0.934173,0.976565] number_of_instances 34465 [9844,24621] precision 0.9643891315956424 [0.94096,0.973757] predictive_accuracy 0.9644566951980269 prior_entropy 0.8629999933345911 relative_absolute_error 0.13578609543302098 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.16189083778323043 root_relative_squared_error 0.3583949706764539 total_cost 0 unweighted_recall 0.9553689107693437 [0.934173,0.976565] area_under_roc_curve 0.9936111358677532 [0.993611,0.993611] area_under_roc_curve 0.9934321483503569 [0.993432,0.993432] area_under_roc_curve 0.9916381795164676 [0.991638,0.991638] area_under_roc_curve 0.9954026069350577 [0.995403,0.995403] area_under_roc_curve 0.9929981402598687 [0.992998,0.992998] area_under_roc_curve 0.9936009044798004 [0.993601,0.993601] area_under_roc_curve 0.99245915971548 [0.992459,0.992459] area_under_roc_curve 0.994922826969943 [0.994923,0.994923] area_under_roc_curve 0.9917427829842879 [0.991743,0.991743] area_under_roc_curve 0.9943901365800822 [0.99439,0.99439] 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 0.9666120815499751 [0.941416,0.976678] f_measure 0.9660210144368331 [0.940397,0.976273] f_measure 0.9602973659380695 [0.930703,0.972137] f_measure 0.9686684073107049 [0.945178,0.978067] f_measure 0.9645961052146634 [0.938008,0.975233] f_measure 0.9609810120194364 [0.931141,0.972907] f_measure 0.9632068433586349 [0.935826,0.97415] f_measure 0.9677341123417086 [0.943281,0.977508] f_measure 0.9616357188205604 [0.932584,0.973247] f_measure 0.9644183405566381 [0.936983,0.975383] kappa 0.9180945698252548 kappa 0.9166703341728307 kappa 0.9028410574348743 kappa 0.9232442774847736 kappa 0.9132416210147496 kappa 0.9040530263677354 kappa 0.9099775088789944 kappa 0.9207891226223132 kappa 0.9058321029406041 kappa 0.9123761963517524 kb_relative_information_score 0.8714350225201051 kb_relative_information_score 0.8664209673001902 kb_relative_information_score 0.8592468636862337 kb_relative_information_score 0.8807844014867061 kb_relative_information_score 0.8661271454300496 kb_relative_information_score 0.863678737736053 kb_relative_information_score 0.866148061355287 kb_relative_information_score 0.876863350362116 kb_relative_information_score 0.8684489878945197 kb_relative_information_score 0.8737428579609805 mean_absolute_error 0.05466668778467796 mean_absolute_error 0.0571719684947911 mean_absolute_error 0.05878041558052316 mean_absolute_error 0.051415430908855184 mean_absolute_error 0.056870176609395355 mean_absolute_error 0.057589604057922836 mean_absolute_error 0.056405578447997706 mean_absolute_error 0.05226420537355069 mean_absolute_error 0.05560957811339577 mean_absolute_error 0.05335586721708536 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9665914293702689 [0.94382,0.975689] precision 0.9659942324154872 [0.943763,0.974889] precision 0.960348920356034 [0.927419,0.973523] precision 0.9686684073107049 [0.945178,0.978067] precision 0.9645860891777107 [0.938962,0.974838] precision 0.9609431677235557 [0.941788,0.968599] precision 0.9632915009149062 [0.930653,0.976336] precision 0.9677034440777482 [0.948613,0.975334] precision 0.9615963242776908 [0.937372,0.971278] precision 0.9644443894627674 [0.952731,0.969126] predictive_accuracy 0.9666376559326951 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9686684073107049 predictive_accuracy 0.9646069045546852 predictive_accuracy 0.9611143354614045 predictive_accuracy 0.9631456761462566 predictive_accuracy 0.9677887405687754 predictive_accuracy 0.9616947185142193 predictive_accuracy 0.9645966337782937 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.1339794579750125 relative_absolute_error 0.14007680761701174 relative_absolute_error 0.14401765728376337 relative_absolute_error 0.1259727382768296 relative_absolute_error 0.1393373885453244 relative_absolute_error 0.14113078173890017 relative_absolute_error 0.13822917366811813 relative_absolute_error 0.12808020270312792 relative_absolute_error 0.13627847177800256 relative_absolute_error 0.13075546140463973 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.16145299194229118 root_mean_squared_error 0.16288776378425068 root_mean_squared_error 0.1704509673878662 root_mean_squared_error 0.14994807990002876 root_mean_squared_error 0.16568769852156917 root_mean_squared_error 0.16429695381771306 root_mean_squared_error 0.16354637589687634 root_mean_squared_error 0.15524301398271528 root_mean_squared_error 0.1641511475811157 root_mean_squared_error 0.16034185858750274 root_relative_squared_error 0.3574848118476066 root_relative_squared_error 0.36055173486274045 root_relative_squared_error 0.3772928707040771 root_relative_squared_error 0.33190977082171436 root_relative_squared_error 0.3667493847266048 root_relative_squared_error 0.36375016828039625 root_relative_squared_error 0.36208840378222534 root_relative_squared_error 0.34370492664898417 root_relative_squared_error 0.3634273561900549 root_relative_squared_error 0.35499366657951753 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 unweighted_recall 0.9583469494865472 [0.939024,0.97767] unweighted_recall 0.9573581381156008 [0.937056,0.97766] unweighted_recall 0.9523828178155682 [0.93401,0.970755] unweighted_recall 0.9616221387423869 [0.945178,0.978067] unweighted_recall 0.9563427035095895 [0.937056,0.97563] unweighted_recall 0.9489929860712092 [0.920732,0.977254] unweighted_recall 0.956515457721596 [0.941057,0.971974] unweighted_recall 0.9588497189805367 [0.938008,0.979691] unweighted_recall 0.9515344620343036 [0.927846,0.975223] unweighted_recall 0.9517350722857351 [0.921748,0.981722] usercpu_time_millis 43192.13101799869 usercpu_time_millis 32756.737116000295 usercpu_time_millis 44027.44832100143 usercpu_time_millis 44755.242757000815 usercpu_time_millis 33706.25101100086 usercpu_time_millis 40468.85752900016 usercpu_time_millis 37510.62419200025 usercpu_time_millis 38106.57725300189 usercpu_time_millis 43562.93402299889 usercpu_time_millis 37396.76543099995 usercpu_time_millis_testing 75.77236999895831 usercpu_time_millis_testing 75.74623999971664 usercpu_time_millis_testing 78.22299899999052 usercpu_time_millis_testing 78.38513900060207 usercpu_time_millis_testing 76.71337500141817 usercpu_time_millis_testing 75.70077699892863 usercpu_time_millis_testing 77.53320799929497 usercpu_time_millis_testing 77.61313600167341 usercpu_time_millis_testing 79.26384500024142 usercpu_time_millis_testing 47.342670000944054 usercpu_time_millis_training 43116.35864799973 usercpu_time_millis_training 32680.99087600058 usercpu_time_millis_training 43949.22532200144 usercpu_time_millis_training 44676.85761800021 usercpu_time_millis_training 33629.53763599944 usercpu_time_millis_training 40393.15675200123 usercpu_time_millis_training 37433.090984000955 usercpu_time_millis_training 38028.964117000214 usercpu_time_millis_training 43483.67017799865 usercpu_time_millis_training 37349.422760999005 wall_clock_time_millis 43964.23959732056 wall_clock_time_millis 33327.52180099487 wall_clock_time_millis 44822.75938987732 wall_clock_time_millis 45687.82711029053 wall_clock_time_millis 34169.886350631714 wall_clock_time_millis 41365.23723602295 wall_clock_time_millis 38139.57691192627 wall_clock_time_millis 38858.521938323975 wall_clock_time_millis 44348.56963157654 wall_clock_time_millis 37939.18561935425 wall_clock_time_millis_testing 75.9284496307373 wall_clock_time_millis_testing 76.09248161315918 wall_clock_time_millis_testing 78.47023010253906 wall_clock_time_millis_testing 79.73146438598633 wall_clock_time_millis_testing 76.72739028930664 wall_clock_time_millis_testing 75.81067085266113 wall_clock_time_millis_testing 77.8961181640625 wall_clock_time_millis_testing 77.82530784606934 wall_clock_time_millis_testing 82.54528045654297 wall_clock_time_millis_testing 47.39546775817871 wall_clock_time_millis_training 43888.31114768982 wall_clock_time_millis_training 33251.429319381714 wall_clock_time_millis_training 44744.28915977478 wall_clock_time_millis_training 45608.09564590454 wall_clock_time_millis_training 34093.15896034241 wall_clock_time_millis_training 41289.42656517029 wall_clock_time_millis_training 38061.68079376221 wall_clock_time_millis_training 38780.696630477905 wall_clock_time_millis_training 44266.024351119995 wall_clock_time_millis_training 37891.79015159607 weighted_recall 0.9666376559326951 [0.939024,0.97767] weighted_recall 0.9660574412532638 [0.937056,0.97766] weighted_recall 0.9602552944589499 [0.93401,0.970755] weighted_recall 0.9686684073107049 [0.945178,0.978067] weighted_recall 0.9646069045546852 [0.937056,0.97563] weighted_recall 0.9611143354614046 [0.920732,0.977254] weighted_recall 0.9631456761462566 [0.941057,0.971974] weighted_recall 0.9677887405687754 [0.938008,0.979691] weighted_recall 0.9616947185142194 [0.927846,0.975223] weighted_recall 0.9645966337782936 [0.921748,0.981722]