10311858 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) 8171283 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 3 15084 gamma 1.0 15084 kernel "rbf" 15084 kernel_params "null" 15084 n_components 4000 15084 n_epoch 2 15084 random_state 64032 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21545323 description https://api.openml.org/data/download/21545323/description.xml -1 21545324 predictions https://api.openml.org/data/download/21545324/predictions.arff area_under_roc_curve 0.7710827463713837 [0.771083,0.771083] average_cost 0 f_measure 0.781264826869496 [0.729983,0.819098] kappa 0.55010333704642 kb_relative_information_score 0.5521072353325919 mean_absolute_error 0.21665342514124294 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.7827285844397773 [0.775117,0.788344] predictive_accuracy 0.7833465748587571 prior_entropy 0.9835093906388539 recall 0.783346574858757 [0.689816,0.852349] relative_absolute_error 0.4434043181341666 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.46546044422833927 root_relative_squared_error 0.9417056590960083 total_cost 0 area_under_roc_curve 0.7705915271099321 [0.770592,0.770592] area_under_roc_curve 0.7658794944071019 [0.765879,0.765879] area_under_roc_curve 0.7569325987047506 [0.756933,0.756933] area_under_roc_curve 0.7689798654988529 [0.76898,0.76898] area_under_roc_curve 0.7706187642896504 [0.770619,0.770619] area_under_roc_curve 0.7687124142820345 [0.768712,0.768712] area_under_roc_curve 0.7800979810473482 [0.780098,0.780098] area_under_roc_curve 0.7774100611263715 [0.77741,0.77741] area_under_roc_curve 0.7675584784127562 [0.767558,0.767558] area_under_roc_curve 0.7840469063547818 [0.784047,0.784047] 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 0.7807876100657837 [0.729373,0.818718] f_measure 0.7754129798640806 [0.724796,0.812755] f_measure 0.767475047918739 [0.712435,0.808096] f_measure 0.7780296627421605 [0.729195,0.81407] f_measure 0.7809014989406196 [0.729276,0.819002] f_measure 0.7801636164183074 [0.725035,0.820849] f_measure 0.789532053280182 [0.741812,0.82475] f_measure 0.7876073250546585 [0.737538,0.824526] f_measure 0.7790527464386726 [0.723559,0.819971] f_measure 0.7935104783057477 [0.746448,0.828212] kappa 0.5491174629263251 kappa 0.5382895332501096 kappa 0.5217152105099258 kappa 0.5438470629102343 kappa 0.5493537983664736 kappa 0.5476030791210853 kappa 0.5673028157298399 kappa 0.5630878916144976 kappa 0.5452452080688758 kappa 0.5754028240854905 kb_relative_information_score 0.5511353757958223 kb_relative_information_score 0.5392751316603452 kb_relative_information_score 0.5241366307722787 kb_relative_information_score 0.544211403779014 kb_relative_information_score 0.5515113212360058 kb_relative_information_score 0.5515113212360042 kb_relative_information_score 0.568392380355305 kb_relative_information_score 0.5651558534991541 kb_relative_information_score 0.5491857117074074 kb_relative_information_score 0.5765630976361149 mean_absolute_error 0.21712268314210062 mean_absolute_error 0.2228596646072374 mean_absolute_error 0.23019201059368793 mean_absolute_error 0.22048112999337893 mean_absolute_error 0.2169499006841757 mean_absolute_error 0.2169499006841757 mean_absolute_error 0.20878393290664313 mean_absolute_error 0.21032884572941957 mean_absolute_error 0.2180534098433017 mean_absolute_error 0.20481129993378944 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 0.7822499918244117 [0.774533,0.787943] precision 0.7761564660879571 [0.761741,0.786791] precision 0.7689368990522136 [0.758661,0.776521] precision 0.7785140998034237 [0.76204,0.790672] precision 0.7824799103384116 [0.77563,0.787535] precision 0.7832329241370761 [0.784979,0.781944] precision 0.7905448340164699 [0.781034,0.797564] precision 0.7892360280219001 [0.783958,0.793128] precision 0.782061352435694 [0.783162,0.78125] precision 0.7946045146943179 [0.786413,0.800644] predictive_accuracy 0.7828773168578994 predictive_accuracy 0.7771403353927626 predictive_accuracy 0.769807989406312 predictive_accuracy 0.7795188700066211 predictive_accuracy 0.7830500993158244 predictive_accuracy 0.7830500993158244 predictive_accuracy 0.7912160670933569 predictive_accuracy 0.7896711542705804 predictive_accuracy 0.7819465901566983 predictive_accuracy 0.7951887000662106 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 0.7828773168578994 [0.689189,0.851994] recall 0.7771403353927626 [0.691268,0.840491] recall 0.7698079894063121 [0.671518,0.842348] recall 0.779518870006621 [0.699064,0.838895] recall 0.7830500993158244 [0.68815,0.853088] recall 0.7830500993158244 [0.673597,0.863828] recall 0.7912160670933569 [0.706341,0.853855] recall 0.7896711542705804 [0.696308,0.858512] recall 0.7819465901566983 [0.672387,0.86273] recall 0.7951887000662106 [0.710348,0.857745] relative_absolute_error 0.44436590488968136 relative_absolute_error 0.45610728042538434 relative_absolute_error 0.4711001160344098 relative_absolute_error 0.4512262856360262 relative_absolute_error 0.44399943821843224 relative_absolute_error 0.44399943821843224 relative_absolute_error 0.4272873535652461 relative_absolute_error 0.4304784404518609 relative_absolute_error 0.4462882467643637 relative_absolute_error 0.419185721657216 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 0.46596425092715066 root_mean_squared_error 0.47208014638113877 root_mean_squared_error 0.47978329545086074 root_mean_squared_error 0.4695541821700441 root_mean_squared_error 0.4657788109008134 root_mean_squared_error 0.4657788109008134 root_mean_squared_error 0.45692880507431693 root_mean_squared_error 0.4586162292477443 root_mean_squared_error 0.4669618933524466 root_mean_squared_error 0.45256082456813407 root_relative_squared_error 0.9427274921210484 root_relative_squared_error 0.9551010224336004 root_relative_squared_error 0.9706577578848358 root_relative_squared_error 0.949963064558806 root_relative_squared_error 0.9423250466325449 root_relative_squared_error 0.9423250466325449 root_relative_squared_error 0.9244204490897266 root_relative_squared_error 0.9278975511577062 root_relative_squared_error 0.9447829572809046 root_relative_squared_error 0.9156459237290484 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 214585.0960080279 usercpu_time_millis 243291.85383496224 usercpu_time_millis 197258.15347596654 usercpu_time_millis 203247.27001899737 usercpu_time_millis 194495.6097030081 usercpu_time_millis 243382.94126099208 usercpu_time_millis 233768.2358509628 usercpu_time_millis 207466.31383697968 usercpu_time_millis 254987.82496299827 usercpu_time_millis 200960.22448700387 usercpu_time_millis_testing 9712.409488012781 usercpu_time_millis_testing 5907.02521498315 usercpu_time_millis_testing 6178.817510983208 usercpu_time_millis_testing 6048.3456359943375 usercpu_time_millis_testing 5889.8662730061915 usercpu_time_millis_testing 8087.871036987053 usercpu_time_millis_testing 7890.888895984972 usercpu_time_millis_testing 7410.657414991874 usercpu_time_millis_testing 6836.229509004625 usercpu_time_millis_testing 6056.540040008258 usercpu_time_millis_training 204872.68652001512 usercpu_time_millis_training 237384.8286199791 usercpu_time_millis_training 191079.33596498333 usercpu_time_millis_training 197198.92438300303 usercpu_time_millis_training 188605.7434300019 usercpu_time_millis_training 235295.07022400503 usercpu_time_millis_training 225877.34695497784 usercpu_time_millis_training 200055.6564219878 usercpu_time_millis_training 248151.59545399365 usercpu_time_millis_training 194903.6844469956 wall_clock_time_millis 214613.1408214569 wall_clock_time_millis 243325.73199272156 wall_clock_time_millis 197301.3195991516 wall_clock_time_millis 203254.96649742126 wall_clock_time_millis 194510.96868515015 wall_clock_time_millis 243412.03546524048 wall_clock_time_millis 233829.38838005066 wall_clock_time_millis 207483.50524902344 wall_clock_time_millis 255015.0294303894 wall_clock_time_millis 200982.34510421753 wall_clock_time_millis_testing 9714.082479476929 wall_clock_time_millis_testing 5907.233476638794 wall_clock_time_millis_testing 6189.882755279541 wall_clock_time_millis_testing 6048.526763916016 wall_clock_time_millis_testing 5890.05970954895 wall_clock_time_millis_testing 8088.395118713379 wall_clock_time_millis_testing 7892.595529556274 wall_clock_time_millis_testing 7410.89940071106 wall_clock_time_millis_testing 6838.204860687256 wall_clock_time_millis_testing 6056.747674942017 wall_clock_time_millis_training 204899.05834197998 wall_clock_time_millis_training 237418.49851608276 wall_clock_time_millis_training 191111.43684387207 wall_clock_time_millis_training 197206.43973350525 wall_clock_time_millis_training 188620.9089756012 wall_clock_time_millis_training 235323.6403465271 wall_clock_time_millis_training 225936.79285049438 wall_clock_time_millis_training 200072.60584831238 wall_clock_time_millis_training 248176.82456970215 wall_clock_time_millis_training 194925.5974292755