10448773 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) 8264342 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 0.2027172757825173 17650 max_leaf_nodes null 17650 min_impurity_decrease 0 17650 min_impurity_split null 17650 min_samples_leaf 1 17650 min_samples_split 5 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 300 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 21821977 description https://api.openml.org/data/download/21821977/description.xml -1 21821978 predictions https://api.openml.org/data/download/21821978/predictions.arff area_under_roc_curve 0.9738398979799661 [0.97384,0.97384] average_cost 0 f_measure 0.9125125216034693 [0.895653,0.924951] kappa 0.8206321153056272 kb_relative_information_score 0.6918546047336475 mean_absolute_error 0.16453198564030272 mean_prior_absolute_error 0.4886137014923867 weighted_recall 0.912694209039548 [0.88257,0.934919] number_of_instances 45312 [19237,26075] precision 0.9126190065678762 [0.90913,0.915193] predictive_accuracy 0.912694209039548 prior_entropy 0.9835093906388539 relative_absolute_error 0.3367322388581573 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.25741578140918997 root_relative_squared_error 0.520795915312488 total_cost 0 unweighted_recall 0.9087442758095754 [0.88257,0.934919] area_under_roc_curve 0.9737282542239472 [0.973727,0.973729] area_under_roc_curve 0.9723431603471175 [0.972345,0.972342] area_under_roc_curve 0.9748955836907613 [0.974896,0.974895] area_under_roc_curve 0.9742827191213693 [0.974282,0.974283] area_under_roc_curve 0.9724740973874929 [0.972472,0.972475] area_under_roc_curve 0.976438538987254 [0.97644,0.976438] area_under_roc_curve 0.9719339021945678 [0.971931,0.971936] area_under_roc_curve 0.975524317908075 [0.975522,0.975526] area_under_roc_curve 0.9722912731844802 [0.972291,0.972291] area_under_roc_curve 0.9747521969379616 [0.974753,0.974752] 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 0.9111622852430288 [0.894377,0.923545] f_measure 0.9088047169738933 [0.8906,0.922235] f_measure 0.9158258972803588 [0.898775,0.92841] f_measure 0.9135972330353032 [0.897456,0.92551] f_measure 0.9088079812555369 [0.890774,0.922117] f_measure 0.9146258509959622 [0.898153,0.926783] f_measure 0.9098165867672995 [0.892801,0.922374] f_measure 0.918856705704663 [0.903345,0.930294] f_measure 0.9091354646836305 [0.891814,0.921908] f_measure 0.9144743562716195 [0.898399,0.926328] kappa 0.8179384214182757 kappa 0.8128979659894647 kappa 0.8272611861670098 kappa 0.8229765270816423 kappa 0.8129454736093648 kappa 0.8249655078270661 kappa 0.8151915665721955 kappa 0.8336591208209264 kappa 0.8137418706397658 kappa 0.8247383339348645 kb_relative_information_score 0.6937109063878134 kb_relative_information_score 0.6902599965885095 kb_relative_information_score 0.690240573386902 kb_relative_information_score 0.6928746754336451 kb_relative_information_score 0.6864539711205421 kb_relative_information_score 0.694286615815943 kb_relative_information_score 0.6909163094853238 kb_relative_information_score 0.7015181268347784 kb_relative_information_score 0.6855934021503255 kb_relative_information_score 0.6926918407288347 mean_absolute_error 0.16373951897616942 mean_absolute_error 0.1648645434931845 mean_absolute_error 0.1657942813703133 mean_absolute_error 0.16400463473846852 mean_absolute_error 0.16700201083891267 mean_absolute_error 0.16336141151082614 mean_absolute_error 0.1648179209887452 mean_absolute_error 0.15980124573922852 mean_absolute_error 0.1676671203315432 mean_absolute_error 0.16426726991833995 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 0.9111874420516196 [0.904357,0.916226] precision 0.9091315293814597 [0.910423,0.908178] precision 0.9163325316892952 [0.921858,0.912255] precision 0.9136004600912577 [0.90577,0.919379] precision 0.9090714136253324 [0.909091,0.909057] precision 0.9147503828880916 [0.912111,0.916698] precision 0.9098396448195161 [0.902763,0.915062] precision 0.9189314694034363 [0.915155,0.921716] precision 0.9091799071171405 [0.902985,0.913748] precision 0.9144851916845118 [0.907211,0.919849] predictive_accuracy 0.911297440423654 predictive_accuracy 0.9090909090909091 predictive_accuracy 0.9161333039064224 predictive_accuracy 0.9137055837563451 predictive_accuracy 0.9090708452880158 predictive_accuracy 0.9148090929154712 predictive_accuracy 0.9099536526153167 predictive_accuracy 0.9190024277201501 predictive_accuracy 0.9092915471198411 predictive_accuracy 0.914588391083646 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 0.3351112765515483 relative_absolute_error 0.337413765311782 relative_absolute_error 0.3393067595610892 relative_absolute_error 0.3356441531407004 relative_absolute_error 0.3417784417507878 relative_absolute_error 0.33432776280900806 relative_absolute_error 0.3373085864365667 relative_absolute_error 0.3270639878687148 relative_absolute_error 0.3431630132570138 relative_absolute_error 0.33620456541040616 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 0.2564964547485159 root_mean_squared_error 0.25934829400829823 root_mean_squared_error 0.25660601944395967 root_mean_squared_error 0.25668830560096184 root_mean_squared_error 0.2609963089208036 root_mean_squared_error 0.2544479929432097 root_mean_squared_error 0.25982113390170486 root_mean_squared_error 0.2526580773038039 root_mean_squared_error 0.2607534416466451 root_mean_squared_error 0.25620867928024355 root_relative_squared_error 0.5189373627738076 root_relative_squared_error 0.5247071343130567 root_relative_squared_error 0.5191440090867792 root_relative_squared_error 0.5193104836127119 root_relative_squared_error 0.5280260785136734 root_relative_squared_error 0.5147780689122559 root_relative_squared_error 0.5256485619140413 root_relative_squared_error 0.5111917029080304 root_relative_squared_error 0.5275706888016891 root_relative_squared_error 0.5183754758950397 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 0.9077984898537046 [0.884615,0.930982] unweighted_recall 0.9041773752279887 [0.871622,0.936733] unweighted_recall 0.9109834030720106 [0.876819,0.945148] unweighted_recall 0.9105077127229027 [0.889293,0.931722] unweighted_recall 0.904369492977088 [0.873181,0.935558] unweighted_recall 0.910853914018471 [0.884615,0.937092] unweighted_recall 0.9064302529492403 [0.883056,0.929804] unweighted_recall 0.9154347078791127 [0.891836,0.939034] unweighted_recall 0.9055649802679224 [0.880915,0.930215] unweighted_recall 0.911327181614872 [0.889756,0.932899] usercpu_time_millis 28138.679421987035 usercpu_time_millis 28179.116184008308 usercpu_time_millis 28421.351242999663 usercpu_time_millis 28294.41757699533 usercpu_time_millis 28085.14562099299 usercpu_time_millis 28314.880687001278 usercpu_time_millis 28453.208271996118 usercpu_time_millis 28067.3976669932 usercpu_time_millis 28405.1987510029 usercpu_time_millis 28620.92495399702 usercpu_time_millis_testing 351.30904999095947 usercpu_time_millis_testing 355.2107010036707 usercpu_time_millis_testing 410.41258299082983 usercpu_time_millis_testing 351.771640998777 usercpu_time_millis_testing 356.4834659919143 usercpu_time_millis_testing 370.34988700179383 usercpu_time_millis_testing 341.9060360029107 usercpu_time_millis_testing 355.15829200448934 usercpu_time_millis_testing 350.4746420076117 usercpu_time_millis_testing 364.7406959935324 usercpu_time_millis_training 27787.370371996076 usercpu_time_millis_training 27823.905483004637 usercpu_time_millis_training 28010.938660008833 usercpu_time_millis_training 27942.645935996552 usercpu_time_millis_training 27728.662155001075 usercpu_time_millis_training 27944.530799999484 usercpu_time_millis_training 28111.302235993207 usercpu_time_millis_training 27712.239374988712 usercpu_time_millis_training 28054.724108995288 usercpu_time_millis_training 28256.184258003486 wall_clock_time_millis 28139.551877975464 wall_clock_time_millis 28184.38744544983 wall_clock_time_millis 28424.326419830322 wall_clock_time_millis 28298.38228225708 wall_clock_time_millis 28085.309505462646 wall_clock_time_millis 28315.85121154785 wall_clock_time_millis 28453.47833633423 wall_clock_time_millis 28067.4831867218 wall_clock_time_millis 28405.33947944641 wall_clock_time_millis 28621.421098709106 wall_clock_time_millis_testing 351.31287574768066 wall_clock_time_millis_testing 355.21459579467773 wall_clock_time_millis_testing 410.4170799255371 wall_clock_time_millis_testing 351.8970012664795 wall_clock_time_millis_testing 356.48655891418457 wall_clock_time_millis_testing 370.35369873046875 wall_clock_time_millis_testing 341.90964698791504 wall_clock_time_millis_testing 355.1621437072754 wall_clock_time_millis_testing 350.4781723022461 wall_clock_time_millis_testing 364.7587299346924 wall_clock_time_millis_training 27788.239002227783 wall_clock_time_millis_training 27829.17284965515 wall_clock_time_millis_training 28013.909339904785 wall_clock_time_millis_training 27946.4852809906 wall_clock_time_millis_training 27728.822946548462 wall_clock_time_millis_training 27945.497512817383 wall_clock_time_millis_training 28111.568689346313 wall_clock_time_millis_training 27712.321043014526 wall_clock_time_millis_training 28054.861307144165 wall_clock_time_millis_training 28256.662368774414 weighted_recall 0.911297440423654 [0.884615,0.930982] weighted_recall 0.9090909090909091 [0.871622,0.936733] weighted_recall 0.9161333039064224 [0.876819,0.945148] weighted_recall 0.9137055837563451 [0.889293,0.931722] weighted_recall 0.9090708452880158 [0.873181,0.935558] weighted_recall 0.9148090929154712 [0.884615,0.937092] weighted_recall 0.9099536526153167 [0.883056,0.929804] weighted_recall 0.9190024277201501 [0.891836,0.939034] weighted_recall 0.9092915471198411 [0.880915,0.930215] weighted_recall 0.914588391083646 [0.889756,0.932899]