10448782 8323 Heinrich Peters 219 Supervised Classification 17651 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 8264346 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 bootstrap false 17650 class_weight null 17650 criterion "entropy" 17650 max_depth null 17650 max_features 0.43001320914192664 17650 max_leaf_nodes null 17650 min_impurity_decrease 0 17650 min_impurity_split null 17650 min_samples_leaf 2 17650 min_samples_split 5 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 500 17650 n_jobs 1 17650 oob_score false 17650 random_state 1 17650 verbose 0 17650 warm_start false 17650 memory null 17651 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}] 17651 verbose false 17651 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21821995 description https://api.openml.org/data/download/21821995/description.xml -1 21821996 predictions https://api.openml.org/data/download/21821996/predictions.arff area_under_roc_curve 0.9814648839897959 [0.981465,0.981465] average_cost 0 f_measure 0.9293227656126931 [0.91634,0.938901] kappa 0.8552444763183431 kb_relative_information_score 0.7512091673534955 mean_absolute_error 0.13282489480506995 mean_prior_absolute_error 0.4886137014923867 weighted_recall 0.9293785310734464 [0.911005,0.942934] number_of_instances 45312 [19237,26075] precision 0.9293134512953458 [0.921738,0.934902] predictive_accuracy 0.9293785310734464 prior_entropy 0.9835093906388539 relative_absolute_error 0.27184029919623437 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.2328456031591373 root_relative_squared_error 0.4710862650296778 total_cost 0 unweighted_recall 0.9269693395562273 [0.911005,0.942934] area_under_roc_curve 0.9816099777137323 [0.981609,0.981611] area_under_roc_curve 0.9795467685106176 [0.979546,0.979547] area_under_roc_curve 0.9823219154841816 [0.982322,0.982322] area_under_roc_curve 0.981334923172657 [0.981335,0.981335] area_under_roc_curve 0.9797858092925964 [0.979786,0.979786] area_under_roc_curve 0.9838412635333424 [0.983842,0.983841] area_under_roc_curve 0.9802093951483948 [0.980209,0.98021] area_under_roc_curve 0.9833269600107263 [0.983327,0.983327] area_under_roc_curve 0.9809688241110904 [0.980969,0.980969] area_under_roc_curve 0.9820217538968039 [0.982022,0.982022] 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 0.9309332120549472 [0.918638,0.940004] f_measure 0.9264245925793003 [0.912621,0.936608] f_measure 0.9338548765737921 [0.921004,0.943339] f_measure 0.9289578321052341 [0.916537,0.938125] f_measure 0.92571405691596 [0.911579,0.936146] f_measure 0.931311079872851 [0.918735,0.940592] f_measure 0.9260262638755874 [0.912601,0.935934] f_measure 0.9346022593507366 [0.922432,0.943576] f_measure 0.925631066806013 [0.912445,0.935354] f_measure 0.9297623180728456 [0.916841,0.93929] kappa 0.8586417403262613 kappa 0.8492393216730488 kappa 0.8643699329652977 kappa 0.8546623093378078 kappa 0.8477424434080693 kappa 0.8593305663459544 kappa 0.8485370091137138 kappa 0.8660139475063384 kappa 0.847798782009092 kappa 0.8561342857696297 kb_relative_information_score 0.7533026884381949 kb_relative_information_score 0.7477715609411301 kb_relative_information_score 0.7542374780881125 kb_relative_information_score 0.7498415165625532 kb_relative_information_score 0.7415674481115786 kb_relative_information_score 0.7547680735621489 kb_relative_information_score 0.7512314905684327 kb_relative_information_score 0.7609796217642325 kb_relative_information_score 0.7461360416912314 kb_relative_information_score 0.7522565598611871 mean_absolute_error 0.13198001593378864 mean_absolute_error 0.13419471886360804 mean_absolute_error 0.13180338364344843 mean_absolute_error 0.13350532565254142 mean_absolute_error 0.13742500994164797 mean_absolute_error 0.1311013344886656 mean_absolute_error 0.13228613611925344 mean_absolute_error 0.12827631757693028 mean_absolute_error 0.13538201539829964 mean_absolute_error 0.13229457457610783 mean_prior_absolute_error 0.48861238171727794 mean_prior_absolute_error 0.48861238171727794 mean_prior_absolute_error 0.48862652068817236 mean_prior_absolute_error 0.48862652068817236 mean_prior_absolute_error 0.48862652068817236 mean_prior_absolute_error 0.48862652068817236 mean_prior_absolute_error 0.48862652068817236 mean_prior_absolute_error 0.4885932162099533 mean_prior_absolute_error 0.4885932162099533 mean_prior_absolute_error 0.4885932162099533 number_of_instances 4532 [1924,2608] number_of_instances 4532 [1924,2608] number_of_instances 4531 [1924,2607] number_of_instances 4531 [1924,2607] number_of_instances 4531 [1924,2607] number_of_instances 4531 [1924,2607] number_of_instances 4531 [1924,2607] number_of_instances 4531 [1923,2608] number_of_instances 4531 [1923,2608] number_of_instances 4531 [1923,2608] precision 0.9309309472788689 [0.918877,0.939824] precision 0.9264532084988988 [0.921569,0.930057] precision 0.9340711012959579 [0.936593,0.93221] precision 0.9289908699201463 [0.914168,0.939931] precision 0.9257971201661135 [0.923241,0.927684] precision 0.9313013416290112 [0.923805,0.936834] precision 0.9260083737454913 [0.916186,0.933257] precision 0.9346161799992028 [0.929741,0.938211] precision 0.9256394780514179 [0.911734,0.935893] precision 0.9297526529432831 [0.922146,0.935361] predictive_accuracy 0.9309355692850839 predictive_accuracy 0.926522506619594 predictive_accuracy 0.934010152284264 predictive_accuracy 0.9289340101522842 predictive_accuracy 0.9258441845067314 predictive_accuracy 0.9313617303023615 predictive_accuracy 0.9260648863385567 predictive_accuracy 0.9346722577797395 predictive_accuracy 0.9256234826749062 predictive_accuracy 0.929816817479585 prior_entropy 0.9835055532661361 prior_entropy 0.9835055532661361 prior_entropy 0.98354666368022 prior_entropy 0.98354666368022 prior_entropy 0.98354666368022 prior_entropy 0.98354666368022 prior_entropy 0.98354666368022 prior_entropy 0.9834498277152368 prior_entropy 0.9834498277152368 prior_entropy 0.9834498277152368 relative_absolute_error 0.2701118941561232 relative_absolute_error 0.2746445319129389 relative_absolute_error 0.2697425908397666 relative_absolute_error 0.2732257051142354 relative_absolute_error 0.28124754617923964 relative_absolute_error 0.26830581013905047 relative_absolute_error 0.2707305692964519 relative_absolute_error 0.2625421584277763 relative_absolute_error 0.27708533583103345 relative_absolute_error 0.27076629430577187 root_mean_prior_squared_error 0.49427247515480305 root_mean_prior_squared_error 0.49427247515480305 root_mean_prior_squared_error 0.4942867777581652 root_mean_prior_squared_error 0.4942867777581652 root_mean_prior_squared_error 0.4942867777581652 root_mean_prior_squared_error 0.4942867777581652 root_mean_prior_squared_error 0.4942867777581652 root_mean_prior_squared_error 0.494253087181386 root_mean_prior_squared_error 0.494253087181386 root_mean_prior_squared_error 0.494253087181386 root_mean_squared_error 0.2313381074185079 root_mean_squared_error 0.23615204627276867 root_mean_squared_error 0.2299708592876679 root_mean_squared_error 0.23389655578711932 root_mean_squared_error 0.23881278060065694 root_mean_squared_error 0.22885067931369846 root_mean_squared_error 0.23528759326539225 root_mean_squared_error 0.2266962193242763 root_mean_squared_error 0.23531602263982762 root_mean_squared_error 0.23186638814559732 root_relative_squared_error 0.4680376089039841 root_relative_squared_error 0.47777705242196084 root_relative_squared_error 0.46525796285852394 root_relative_squared_error 0.4732001063187565 root_relative_squared_error 0.4831462044843499 root_relative_squared_error 0.46299170767150477 root_relative_squared_error 0.4760143379366484 root_relative_squared_error 0.4586642455125041 root_relative_squared_error 0.4761043051481618 root_relative_squared_error 0.4691248151182607 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 0.9292916087394615 [0.918399,0.940184] unweighted_recall 0.9235488437942425 [0.903846,0.943252] unweighted_recall 0.9303312009008211 [0.905925,0.954737] unweighted_recall 0.9276220985081745 [0.918919,0.936325] unweighted_recall 0.9224859984353655 [0.900208,0.944764] unweighted_recall 0.9290509638610904 [0.913721,0.944381] unweighted_recall 0.9238352165567356 [0.909044,0.938627] unweighted_recall 0.9321198384745206 [0.915237,0.949003] unweighted_recall 0.9239862385906479 [0.913157,0.934816] unweighted_recall 0.9274239988004428 [0.911596,0.943252] usercpu_time_millis 99948.81936699676 usercpu_time_millis 100189.17095899815 usercpu_time_millis 97130.9791419917 usercpu_time_millis 97996.38513999525 usercpu_time_millis 98885.6957800017 usercpu_time_millis 98330.3091689886 usercpu_time_millis 98789.19019899331 usercpu_time_millis 98559.08456401085 usercpu_time_millis 98259.5779030089 usercpu_time_millis 98861.3645840087 usercpu_time_millis_testing 606.6816300008213 usercpu_time_millis_testing 513.9713009994011 usercpu_time_millis_testing 477.70070799742825 usercpu_time_millis_testing 614.535281987628 usercpu_time_millis_testing 505.3211089980323 usercpu_time_millis_testing 529.7361999982968 usercpu_time_millis_testing 548.2562230026815 usercpu_time_millis_testing 531.4199730055407 usercpu_time_millis_testing 493.2408430031501 usercpu_time_millis_testing 490.43720100598875 usercpu_time_millis_training 99342.13773699594 usercpu_time_millis_training 99675.19965799875 usercpu_time_millis_training 96653.27843399427 usercpu_time_millis_training 97381.84985800763 usercpu_time_millis_training 98380.37467100366 usercpu_time_millis_training 97800.57296899031 usercpu_time_millis_training 98240.93397599063 usercpu_time_millis_training 98027.6645910053 usercpu_time_millis_training 97766.33706000575 usercpu_time_millis_training 98370.92738300271 wall_clock_time_millis 99958.81772041321 wall_clock_time_millis 100207.77225494385 wall_clock_time_millis 97133.00251960754 wall_clock_time_millis 97996.98877334595 wall_clock_time_millis 98888.82398605347 wall_clock_time_millis 98330.7752609253 wall_clock_time_millis 98794.15249824524 wall_clock_time_millis 98559.80825424194 wall_clock_time_millis 98263.5235786438 wall_clock_time_millis 98861.66739463806 wall_clock_time_millis_testing 606.7235469818115 wall_clock_time_millis_testing 514.0016078948975 wall_clock_time_millis_testing 477.72860527038574 wall_clock_time_millis_testing 614.5381927490234 wall_clock_time_millis_testing 505.3577423095703 wall_clock_time_millis_testing 529.7491550445557 wall_clock_time_millis_testing 548.3438968658447 wall_clock_time_millis_testing 531.4960479736328 wall_clock_time_millis_testing 493.2544231414795 wall_clock_time_millis_testing 490.44013023376465 wall_clock_time_millis_training 99352.0941734314 wall_clock_time_millis_training 99693.77064704895 wall_clock_time_millis_training 96655.27391433716 wall_clock_time_millis_training 97382.45058059692 wall_clock_time_millis_training 98383.4662437439 wall_clock_time_millis_training 97801.02610588074 wall_clock_time_millis_training 98245.8086013794 wall_clock_time_millis_training 98028.31220626831 wall_clock_time_millis_training 97770.26915550232 wall_clock_time_millis_training 98371.2272644043 weighted_recall 0.9309355692850838 [0.918399,0.940184] weighted_recall 0.926522506619594 [0.903846,0.943252] weighted_recall 0.934010152284264 [0.905925,0.954737] weighted_recall 0.9289340101522843 [0.918919,0.936325] weighted_recall 0.9258441845067314 [0.900208,0.944764] weighted_recall 0.9313617303023615 [0.913721,0.944381] weighted_recall 0.9260648863385567 [0.909044,0.938627] weighted_recall 0.9346722577797396 [0.915237,0.949003] weighted_recall 0.9256234826749062 [0.913157,0.934816] weighted_recall 0.9298168174795851 [0.911596,0.943252]