10311890 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) 8171308 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 4 15084 gamma 100.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 500 15084 n_epoch 2 15084 random_state 65513 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21545387 description https://api.openml.org/data/download/21545387/description.xml -1 21545388 predictions https://api.openml.org/data/download/21545388/predictions.arff area_under_roc_curve 0.837601514060547 [0.837602,0.837602] average_cost 0 f_measure 0.8443358698595805 [0.812015,0.868181] kappa 0.680397220035912 kb_relative_information_score 0.6796268724155361 mean_absolute_error 0.1549699858757062 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.8447040135435928 [0.837114,0.850303] predictive_accuracy 0.8450300141242938 prior_entropy 0.9835093906388539 recall 0.8450300141242938 [0.788377,0.886826] relative_absolute_error 0.31716258754590176 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.3936622738791542 root_relative_squared_error 0.7964457467469405 total_cost 0 area_under_roc_curve 0.8402982825912274 [0.840298,0.840298] area_under_roc_curve 0.8375377058275831 [0.837538,0.837538] area_under_roc_curve 0.8339402073579288 [0.83394,0.83394] area_under_roc_curve 0.8356912502482121 [0.835691,0.835691] area_under_roc_curve 0.8364699788750422 [0.83647,0.83647] area_under_roc_curve 0.836161158945969 [0.836161,0.836161] area_under_roc_curve 0.8399231199864111 [0.839923,0.839923] area_under_roc_curve 0.8442032236504184 [0.844203,0.844203] area_under_roc_curve 0.8374561132752059 [0.837456,0.837456] area_under_roc_curve 0.834333496039228 [0.834333,0.834333] 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 0.8463450767450306 [0.815426,0.869155] f_measure 0.844379124270543 [0.811897,0.868342] f_measure 0.8402837059866952 [0.807887,0.864193] f_measure 0.8418688880593207 [0.810005,0.865385] f_measure 0.8444573298561381 [0.810195,0.869743] f_measure 0.843015029742422 [0.810289,0.867167] f_measure 0.8464179998352549 [0.814854,0.869712] f_measure 0.8508080624754215 [0.819813,0.873662] f_measure 0.8446847688207249 [0.811625,0.869061] f_measure 0.8410685632620015 [0.808135,0.865352] kappa 0.6847033179247493 kappa 0.68045527227146 kappa 0.6722283698231268 kappa 0.675521796509742 kappa 0.6803513162467035 kappa 0.6776744113142135 kappa 0.684741327352623 kappa 0.6936647588542597 kappa 0.6809577965416659 kappa 0.6736818083062541 kb_relative_information_score 0.6834227142300117 kb_relative_information_score 0.6797734083421699 kb_relative_information_score 0.6710474695942927 kb_relative_information_score 0.674241183481726 kb_relative_information_score 0.6806286112565932 kb_relative_information_score 0.6769786525280981 kb_relative_information_score 0.6838223251440303 kb_relative_information_score 0.6929169878331138 kb_relative_information_score 0.6805971641651969 kb_relative_information_score 0.672840238152064 mean_absolute_error 0.1531332744924978 mean_absolute_error 0.15489849955869373 mean_absolute_error 0.15912602074597218 mean_absolute_error 0.15758110792319577 mean_absolute_error 0.15449128227764292 mean_absolute_error 0.15625689693224454 mean_absolute_error 0.15294636945486648 mean_absolute_error 0.1485323328183624 mean_absolute_error 0.15449128227764292 mean_absolute_error 0.15824321341867137 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 0.8464783176211322 [0.834967,0.85497] precision 0.8447966375126854 [0.837942,0.849853] precision 0.8404518675595772 [0.828868,0.849001] precision 0.8420004655432235 [0.82988,0.850945] precision 0.8455914098965731 [0.846939,0.844597] precision 0.8434253100459642 [0.836283,0.848696] precision 0.8467175338198979 [0.838373,0.852876] precision 0.8512004780620709 [0.844923,0.855829] precision 0.8452969480218488 [0.841049,0.84843] precision 0.841381996957181 [0.832415,0.847994] predictive_accuracy 0.8468667255075022 predictive_accuracy 0.8451015004413063 predictive_accuracy 0.8408739792540278 predictive_accuracy 0.8424188920768043 predictive_accuracy 0.8455087177223571 predictive_accuracy 0.8437431030677555 predictive_accuracy 0.8470536305451336 predictive_accuracy 0.8514676671816376 predictive_accuracy 0.8455087177223571 predictive_accuracy 0.8417567865813287 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 0.8468667255075022 [0.796778,0.883819] recall 0.8451015004413063 [0.787422,0.887653] recall 0.8408739792540278 [0.787942,0.879939] recall 0.8424188920768042 [0.79106,0.880322] recall 0.8455087177223571 [0.776507,0.896433] recall 0.8437431030677555 [0.785863,0.88646] recall 0.8470536305451335 [0.79262,0.887227] recall 0.8514676671816376 [0.796152,0.892255] recall 0.8455087177223571 [0.784191,0.890721] recall 0.8417567865813286 [0.785231,0.883436] relative_absolute_error 0.3134044085299175 relative_absolute_error 0.31701713946397997 relative_absolute_error 0.32565981175533026 relative_absolute_error 0.3224980660101329 relative_absolute_error 0.3161745745197381 relative_absolute_error 0.3197879982285351 relative_absolute_error 0.31301282877454073 relative_absolute_error 0.3039999899518388 relative_absolute_error 0.3161961262500552 relative_absolute_error 0.32387517503041363 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 0.39132246867832393 root_mean_squared_error 0.3935714669011128 root_mean_squared_error 0.3989060299694305 root_mean_squared_error 0.39696486988547963 root_mean_squared_error 0.3930537905651629 root_mean_squared_error 0.3952934314306836 root_mean_squared_error 0.39108358371947355 root_mean_squared_error 0.3853989268515967 root_mean_squared_error 0.3930537905651629 root_mean_squared_error 0.39779795552349356 root_relative_squared_error 0.7917140612690686 root_relative_squared_error 0.7962641795456011 root_relative_squared_error 0.8070335843873195 root_relative_squared_error 0.8031063903548289 root_relative_squared_error 0.7951938191586998 root_relative_squared_error 0.7997248747448488 root_relative_squared_error 0.7912078601277398 root_relative_squared_error 0.7797602824282595 root_relative_squared_error 0.7952480232478872 root_relative_squared_error 0.8048466784336051 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 157515.58568398468 usercpu_time_millis 158414.0369130182 usercpu_time_millis 173787.56013303064 usercpu_time_millis 177238.38862299453 usercpu_time_millis 184238.85166100808 usercpu_time_millis 248432.33930601855 usercpu_time_millis 142766.05668204138 usercpu_time_millis 171748.3441339864 usercpu_time_millis 136814.23396003083 usercpu_time_millis 185000.61438197736 usercpu_time_millis_testing 7700.742849992821 usercpu_time_millis_testing 11675.290362007217 usercpu_time_millis_testing 11634.491499018623 usercpu_time_millis_testing 10115.23912899429 usercpu_time_millis_testing 12871.001655003056 usercpu_time_millis_testing 12203.043924993835 usercpu_time_millis_testing 8355.980590014951 usercpu_time_millis_testing 10398.871254990809 usercpu_time_millis_testing 7734.351835009875 usercpu_time_millis_testing 8669.59569498431 usercpu_time_millis_training 149814.84283399186 usercpu_time_millis_training 146738.746551011 usercpu_time_millis_training 162153.06863401202 usercpu_time_millis_training 167123.14949400024 usercpu_time_millis_training 171367.85000600503 usercpu_time_millis_training 236229.2953810247 usercpu_time_millis_training 134410.07609202643 usercpu_time_millis_training 161349.47287899558 usercpu_time_millis_training 129079.88212502096 usercpu_time_millis_training 176331.01868699305 wall_clock_time_millis 157533.73384475708 wall_clock_time_millis 158427.57725715637 wall_clock_time_millis 173822.56031036377 wall_clock_time_millis 177350.43692588806 wall_clock_time_millis 184300.5392551422 wall_clock_time_millis 248508.71396064758 wall_clock_time_millis 142775.7465839386 wall_clock_time_millis 171768.1906223297 wall_clock_time_millis 136824.83911514282 wall_clock_time_millis 185030.23195266724 wall_clock_time_millis_testing 7701.016426086426 wall_clock_time_millis_testing 11675.755500793457 wall_clock_time_millis_testing 11636.677265167236 wall_clock_time_millis_testing 10119.202136993408 wall_clock_time_millis_testing 12875.155687332153 wall_clock_time_millis_testing 12206.59613609314 wall_clock_time_millis_testing 8356.29677772522 wall_clock_time_millis_testing 10399.37710762024 wall_clock_time_millis_testing 7736.422538757324 wall_clock_time_millis_testing 8671.342134475708 wall_clock_time_millis_training 149832.71741867065 wall_clock_time_millis_training 146751.82175636292 wall_clock_time_millis_training 162185.88304519653 wall_clock_time_millis_training 167231.23478889465 wall_clock_time_millis_training 171425.38356781006 wall_clock_time_millis_training 236302.11782455444 wall_clock_time_millis_training 134419.44980621338 wall_clock_time_millis_training 161368.81351470947 wall_clock_time_millis_training 129088.4165763855 wall_clock_time_millis_training 176358.88981819153