10309941 8323 Heinrich Peters 219 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8170763 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 memory null 15083 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 2 15084 gamma 1e-06 15084 kernel "rbf" 15084 kernel_params "null" 15084 n_components 500 15084 n_epoch 2 15084 random_state 11150 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21541488 description https://api.openml.org/data/download/21541488/description.xml -1 21541489 predictions https://api.openml.org/data/download/21541489/predictions.arff area_under_roc_curve 0.7728348170130558 [0.772835,0.772835] average_cost 0 f_measure 0.78280024642474 [0.732406,0.819979] kappa 0.5533143815295645 kb_relative_information_score 0.5550271840886826 mean_absolute_error 0.21524099576271186 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.7840938546658477 [0.775537,0.790406] predictive_accuracy 0.7847590042372882 prior_entropy 0.9835093906388539 recall 0.7847590042372882 [0.693819,0.85185] relative_absolute_error 0.4405136309221276 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.46394072440637485 root_relative_squared_error 0.938631007373547 total_cost 0 area_under_roc_curve 0.7796616519776027 [0.779662,0.779662] area_under_roc_curve 0.7708808974146397 [0.770881,0.770881] area_under_roc_curve 0.7577429270467245 [0.757743,0.757743] area_under_roc_curve 0.7705333354067532 [0.770533,0.770533] area_under_roc_curve 0.7694987188658075 [0.769499,0.769499] area_under_roc_curve 0.7712373013005924 [0.771237,0.771237] area_under_roc_curve 0.7803022328338785 [0.780302,0.780302] area_under_roc_curve 0.7791486812846747 [0.779149,0.779149] area_under_roc_curve 0.7660247360814678 [0.766025,0.766025] area_under_roc_curve 0.7833113401223165 [0.783311,0.783311] 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 0.7892753629535695 [0.741045,0.824857] f_measure 0.7791222143057881 [0.732546,0.813483] f_measure 0.7685969713792323 [0.712822,0.80976] f_measure 0.7786722279801923 [0.732296,0.812898] f_measure 0.7800679574818322 [0.727474,0.818883] f_measure 0.781826868706899 [0.729535,0.820419] f_measure 0.7895990884637287 [0.742234,0.824555] f_measure 0.7893662588674064 [0.739598,0.826063] f_measure 0.7773753527450834 [0.721943,0.818248] f_measure 0.7938437646694085 [0.744186,0.830459] kappa 0.5667006564401198 kappa 0.5463795357303073 kappa 0.5239400944187179 kappa 0.5455236379190848 kappa 0.5475720344810335 kappa 0.5511807626239709 kappa 0.5674817424780746 kappa 0.5666955044176002 kappa 0.5418180444788826 kappa 0.5758246287415358 kb_relative_information_score 0.5680134155270817 kb_relative_information_score 0.545661416964067 kb_relative_information_score 0.5268740998186512 kb_relative_information_score 0.5446676486200768 kb_relative_information_score 0.5501425867128188 kb_relative_information_score 0.5537925454413163 kb_relative_information_score 0.5683923803553046 kb_relative_information_score 0.5688061716229814 kb_relative_information_score 0.5455353935835794 kb_relative_information_score 0.5783882566980272 mean_absolute_error 0.20895851721094438 mean_absolute_error 0.21977052074139453 mean_absolute_error 0.2288677996027367 mean_absolute_error 0.22026042816155375 mean_absolute_error 0.2176120061796513 mean_absolute_error 0.21584639152504967 mean_absolute_error 0.20878393290664313 mean_absolute_error 0.20856323107481792 mean_absolute_error 0.21981902449790333 mean_absolute_error 0.20392849260648863 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 0.7904163926875034 [0.781881,0.796713] precision 0.7792104415632823 [0.757778,0.795022] precision 0.7704455761100579 [0.762893,0.77602] precision 0.7787236120084009 [0.756652,0.795013] precision 0.7819397905675227 [0.77686,0.785689] precision 0.7837774742009055 [0.779551,0.786897] precision 0.7905035980572199 [0.780069,0.798205] precision 0.7910679561499401 [0.786635,0.794336] precision 0.7801078236288616 [0.779385,0.780641] precision 0.7960439753556601 [0.795737,0.79627] predictive_accuracy 0.7910414827890555 predictive_accuracy 0.7802294792586055 predictive_accuracy 0.7711322003972633 predictive_accuracy 0.7797395718384463 predictive_accuracy 0.7823879938203487 predictive_accuracy 0.7841536084749504 predictive_accuracy 0.7912160670933569 predictive_accuracy 0.791436768925182 predictive_accuracy 0.7801809755020966 predictive_accuracy 0.7960715073935114 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 recall 0.7910414827890556 [0.704262,0.855061] recall 0.7802294792586054 [0.70894,0.832822] recall 0.7711322003972633 [0.668919,0.846567] recall 0.7797395718384462 [0.709459,0.831607] recall 0.7823879938203487 [0.683992,0.855006] recall 0.7841536084749503 [0.685551,0.856924] recall 0.7912160670933569 [0.7079,0.852704] recall 0.7914367689251821 [0.697868,0.860429] recall 0.7801809755020966 [0.672387,0.859663] recall 0.7960715073935114 [0.698908,0.867715] relative_absolute_error 0.4276570243196425 relative_absolute_error 0.4497850012907751 relative_absolute_error 0.468390048252812 relative_absolute_error 0.4507746076724266 relative_absolute_error 0.44535447210923107 relative_absolute_error 0.4417410484004341 relative_absolute_error 0.4272873535652461 relative_absolute_error 0.4268647704375745 relative_absolute_error 0.44990191677865 relative_absolute_error 0.41737888665007283 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 0.4571198061897388 root_mean_squared_error 0.4687968864459261 root_mean_squared_error 0.4784012955696679 root_mean_squared_error 0.46931911122556447 root_mean_squared_error 0.4664890204277602 root_mean_squared_error 0.46459271574686756 root_mean_squared_error 0.45692880507431693 root_mean_squared_error 0.4566872355067721 root_mean_squared_error 0.4688486157576914 root_mean_squared_error 0.4515844246721632 root_relative_squared_error 0.9248336275382758 root_relative_squared_error 0.9484584111205098 root_relative_squared_error 0.9678618103835472 root_relative_squared_error 0.9494874885267184 root_relative_squared_error 0.9437618836245599 root_relative_squared_error 0.9399254373220848 root_relative_squared_error 0.9244204490897266 root_relative_squared_error 0.9239947050430307 root_relative_squared_error 0.9486002777067704 root_relative_squared_error 0.9136704178166036 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 125394.87734300201 usercpu_time_millis 132660.14213299786 usercpu_time_millis 124859.24906100263 usercpu_time_millis 127879.91064898961 usercpu_time_millis 128694.27807399188 usercpu_time_millis 127430.77562200779 usercpu_time_millis 118918.25226099172 usercpu_time_millis 119440.88653200015 usercpu_time_millis 120957.68549900095 usercpu_time_millis 128315.93019599677 usercpu_time_millis_testing 5771.341535000829 usercpu_time_millis_testing 6456.239831997664 usercpu_time_millis_testing 5688.3279790054075 usercpu_time_millis_testing 6122.370509998291 usercpu_time_millis_testing 6227.609592999215 usercpu_time_millis_testing 5828.978803008795 usercpu_time_millis_testing 5545.0219710037345 usercpu_time_millis_testing 6356.6359789983835 usercpu_time_millis_testing 5711.704727000324 usercpu_time_millis_testing 5632.620030999533 usercpu_time_millis_training 119623.53580800118 usercpu_time_millis_training 126203.9023010002 usercpu_time_millis_training 119170.92108199722 usercpu_time_millis_training 121757.54013899132 usercpu_time_millis_training 122466.66848099267 usercpu_time_millis_training 121601.79681899899 usercpu_time_millis_training 113373.23028998799 usercpu_time_millis_training 113084.25055300177 usercpu_time_millis_training 115245.98077200062 usercpu_time_millis_training 122683.31016499724 wall_clock_time_millis 125409.88373756409 wall_clock_time_millis 132674.46041107178 wall_clock_time_millis 124877.36058235168 wall_clock_time_millis 128147.08662033081 wall_clock_time_millis 128736.96398735046 wall_clock_time_millis 127444.96536254883 wall_clock_time_millis 118948.72260093689 wall_clock_time_millis 119475.8939743042 wall_clock_time_millis 120964.52021598816 wall_clock_time_millis 128390.07782936096 wall_clock_time_millis_testing 5771.542072296143 wall_clock_time_millis_testing 6456.638336181641 wall_clock_time_millis_testing 5688.55619430542 wall_clock_time_millis_testing 6127.98547744751 wall_clock_time_millis_testing 6232.858657836914 wall_clock_time_millis_testing 5830.114126205444 wall_clock_time_millis_testing 5545.209646224976 wall_clock_time_millis_testing 6358.210563659668 wall_clock_time_millis_testing 5711.891651153564 wall_clock_time_millis_testing 5632.803916931152 wall_clock_time_millis_training 119638.34166526794 wall_clock_time_millis_training 126217.82207489014 wall_clock_time_millis_training 119188.80438804626 wall_clock_time_millis_training 122019.1011428833 wall_clock_time_millis_training 122504.10532951355 wall_clock_time_millis_training 121614.85123634338 wall_clock_time_millis_training 113403.51295471191 wall_clock_time_millis_training 113117.68341064453 wall_clock_time_millis_training 115252.6285648346 wall_clock_time_millis_training 122757.27391242981