10311338 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) 8171222 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 10000000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 2000 15084 n_epoch 2 15084 random_state 32687 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21544283 description https://api.openml.org/data/download/21544283/description.xml -1 21544284 predictions https://api.openml.org/data/download/21544284/predictions.arff area_under_roc_curve 0.7019007285167889 [0.701901,0.701901] average_cost 0 f_measure 0.674777883116019 [0.693909,0.660664] kappa 0.3800421767072855 kb_relative_information_score 0.3346166772022306 mean_absolute_error 0.3218573446327684 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.7303701457437399 [0.581893,0.83991] predictive_accuracy 0.6781426553672317 prior_entropy 0.9835093906388539 recall 0.6781426553672316 [0.859334,0.544468] relative_absolute_error 0.6587153484433824 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.5673247259134475 root_relative_squared_error 1.1477944292849487 total_cost 0 area_under_roc_curve 0.49934393454332104 [0.499344,0.499344] area_under_roc_curve 0.4879313451015905 [0.487931,0.487931] area_under_roc_curve 0.8332469076139962 [0.833247,0.833247] area_under_roc_curve 0.8348991640130882 [0.834899,0.834899] area_under_roc_curve 0.8362101036151669 [0.83621,0.83621] area_under_roc_curve 0.503516739276233 [0.503517,0.503517] area_under_roc_curve 0.8383705472313068 [0.838371,0.838371] area_under_roc_curve 0.8426769586120868 [0.842677,0.842677] area_under_roc_curve 0.5057721710708919 [0.505772,0.505772] area_under_roc_curve 0.8372099607910698 [0.83721,0.83721] 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 0.25362797472625875 [0.595349,0.00153] f_measure 0.2852485633368707 [0.578753,0.068721] f_measure 0.8403097428700494 [0.806763,0.865067] f_measure 0.8413562481572919 [0.808965,0.865262] f_measure 0.8442271983985907 [0.809873,0.869581] f_measure 0.3218550462660486 [0.585977,0.12693] f_measure 0.8439879235638348 [0.813344,0.866604] f_measure 0.851678635422895 [0.817234,0.877076] f_measure 0.2875538258482705 [0.595073,0.060806] f_measure 0.8395731842802958 [0.813046,0.859133] kappa -0.001114482243102033 kappa -0.020752551575529164 kappa 0.6720762413290164 kappa 0.6743898390073464 kappa 0.67987263969857 kappa 0.006081562302484822 kappa 0.6800283234616247 kappa 0.6949406985322885 kappa 0.009868853358797107 kappa 0.6722163659287737 kb_relative_information_score -0.1905860459073458 kb_relative_information_score -0.1992531473909621 kb_relative_information_score 0.6715037144353541 kb_relative_information_score 0.6733286937996016 kb_relative_information_score 0.6801723664155301 kb_relative_information_score -0.1611431205028454 kb_relative_information_score 0.6783473870512872 kb_relative_information_score 0.6961110161914599 kb_relative_information_score -0.16992695868637062 kb_relative_information_score 0.6678210507318084 mean_absolute_error 0.5759046778464254 mean_absolute_error 0.5800970873786407 mean_absolute_error 0.158905318914147 mean_absolute_error 0.15802251158684616 mean_absolute_error 0.1547119841094681 mean_absolute_error 0.5616861619951445 mean_absolute_error 0.15559479143676894 mean_absolute_error 0.14698741999558596 mean_absolute_error 0.5658794967998234 mean_absolute_error 0.16067093356874862 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 0.3719162026418053 [0.424216,0.333333] precision 0.4372308922916447 [0.418346,0.451163] precision 0.8407807879544806 [0.834073,0.845731] precision 0.841577150861031 [0.83114,0.84928] precision 0.8453789821120571 [0.846852,0.844292] precision 0.5266892449595546 [0.426474,0.600649] precision 0.8439948205373133 [0.828926,0.855116] precision 0.8538883020691131 [0.865195,0.845552] precision 0.572943708237957 [0.427308,0.680328] precision 0.8400075062137475 [0.803146,0.867188] predictive_accuracy 0.4240953221535746 predictive_accuracy 0.4199029126213592 predictive_accuracy 0.8410946810858531 predictive_accuracy 0.8419774884131539 predictive_accuracy 0.8452880158905319 predictive_accuracy 0.43831383800485546 predictive_accuracy 0.8444052085632311 predictive_accuracy 0.853012580004414 predictive_accuracy 0.43412050320017653 predictive_accuracy 0.8393290664312514 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 0.4240953221535746 [0.997921,0.000767] recall 0.4199029126213592 [0.938669,0.037193] recall 0.8410946810858531 [0.781185,0.885309] recall 0.8419774884131538 [0.787942,0.881857] recall 0.8452880158905319 [0.775988,0.896433] recall 0.43831383800485546 [0.936071,0.070963] recall 0.8444052085632311 [0.798337,0.878404] recall 0.853012580004414 [0.774311,0.911043] recall 0.4341205032001766 [0.979719,0.031825] recall 0.8393290664312514 [0.823193,0.851227] relative_absolute_error 1.1786534672378743 relative_absolute_error 1.1872337032062725 relative_absolute_error 0.32520813379173064 relative_absolute_error 0.32340142193733207 relative_absolute_error 0.3166262524833377 relative_absolute_error 1.1495204173610478 relative_absolute_error 0.31843296433773627 relative_absolute_error 0.30083802868933823 relative_absolute_error 1.1581812395787736 relative_absolute_error 0.32884397130005744 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 0.7588838368593874 root_mean_squared_error 0.7616410489060058 root_mean_squared_error 0.3986293001199824 root_mean_squared_error 0.39752045429995947 root_mean_squared_error 0.39333444307544196 root_mean_squared_error 0.749457244941394 root_mean_squared_error 0.394455056295098 root_mean_squared_error 0.3833893843021556 root_mean_squared_error 0.7522496239944713 root_mean_squared_error 0.4008377895966754 root_relative_squared_error 1.5353552443350398 root_relative_squared_error 1.5409335684077181 root_relative_squared_error 0.8064737275149524 root_relative_squared_error 0.8042304026478538 root_relative_squared_error 0.7957616120330147 root_relative_squared_error 1.5162397188542105 root_relative_squared_error 0.7980287437267625 root_relative_squared_error 0.7756944655389789 root_relative_squared_error 1.5219927674794735 root_relative_squared_error 0.8109970377374132 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 164879.71631297842 usercpu_time_millis 166098.41388801578 usercpu_time_millis 171252.6378199982 usercpu_time_millis 170611.0387800145 usercpu_time_millis 174498.77878904226 usercpu_time_millis 180926.05549198925 usercpu_time_millis 197173.04605001118 usercpu_time_millis 183481.35808299412 usercpu_time_millis 176869.16022800142 usercpu_time_millis 177501.76508899312 usercpu_time_millis_testing 7749.399138992885 usercpu_time_millis_testing 9795.858358003898 usercpu_time_millis_testing 9641.349801997421 usercpu_time_millis_testing 8121.348621993093 usercpu_time_millis_testing 8248.83857902023 usercpu_time_millis_testing 8971.54937000596 usercpu_time_millis_testing 7904.619929002365 usercpu_time_millis_testing 11762.095457001124 usercpu_time_millis_testing 8031.988369009923 usercpu_time_millis_testing 7859.935596003197 usercpu_time_millis_training 157130.31717398553 usercpu_time_millis_training 156302.5555300119 usercpu_time_millis_training 161611.28801800078 usercpu_time_millis_training 162489.6901580214 usercpu_time_millis_training 166249.94021002203 usercpu_time_millis_training 171954.5061219833 usercpu_time_millis_training 189268.42612100882 usercpu_time_millis_training 171719.262625993 usercpu_time_millis_training 168837.1718589915 usercpu_time_millis_training 169641.82949298993 wall_clock_time_millis 164920.01366615295 wall_clock_time_millis 166108.04772377014 wall_clock_time_millis 171476.06205940247 wall_clock_time_millis 170719.9478149414 wall_clock_time_millis 174674.13902282715 wall_clock_time_millis 181223.2928276062 wall_clock_time_millis 197192.8141117096 wall_clock_time_millis 183525.47025680542 wall_clock_time_millis 177033.02145004272 wall_clock_time_millis 177584.36560630798 wall_clock_time_millis_testing 7750.70333480835 wall_clock_time_millis_testing 9796.175479888916 wall_clock_time_millis_testing 9642.244100570679 wall_clock_time_millis_testing 8121.989011764526 wall_clock_time_millis_testing 8259.50288772583 wall_clock_time_millis_testing 8976.210832595825 wall_clock_time_millis_testing 7905.3544998168945 wall_clock_time_millis_testing 11764.951229095459 wall_clock_time_millis_testing 8037.669658660889 wall_clock_time_millis_testing 7860.2118492126465 wall_clock_time_millis_training 157169.3103313446 wall_clock_time_millis_training 156311.87224388123 wall_clock_time_millis_training 161833.8179588318 wall_clock_time_millis_training 162597.95880317688 wall_clock_time_millis_training 166414.63613510132 wall_clock_time_millis_training 172247.08199501038 wall_clock_time_millis_training 189287.4596118927 wall_clock_time_millis_training 171760.51902770996 wall_clock_time_millis_training 168995.35179138184 wall_clock_time_millis_training 169724.15375709534