10315237 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) 8174109 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-10 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 1000 15084 n_epoch 2 15084 random_state 36252 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21552121 description https://api.openml.org/data/download/21552121/description.xml -1 21552122 predictions https://api.openml.org/data/download/21552122/predictions.arff area_under_roc_curve 0.8365684218217421 [0.836568,0.836568] average_cost 0 f_measure 0.8425804547926488 [0.811075,0.865824] kappa 0.6770131117199497 kb_relative_information_score 0.6756119428758778 mean_absolute_error 0.15691207627118645 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.8426667177222554 [0.829592,0.852313] predictive_accuracy 0.8430879237288136 prior_entropy 0.9835093906388539 recall 0.8430879237288136 [0.793367,0.87977] relative_absolute_error 0.32113728246245543 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.3961212898484332 root_relative_squared_error 0.8014207543609956 total_cost 0 area_under_roc_curve 0.8338607897656978 [0.833861,0.833861] area_under_roc_curve 0.8329364788337181 [0.832936,0.832936] area_under_roc_curve 0.8287551626159221 [0.828755,0.828755] area_under_roc_curve 0.8389401395730508 [0.83894,0.83894] area_under_roc_curve 0.8342614877425005 [0.834261,0.834261] area_under_roc_curve 0.8362359216789597 [0.836236,0.836236] area_under_roc_curve 0.8413404220366246 [0.84134,0.84134] area_under_roc_curve 0.8453247178966913 [0.845325,0.845325] area_under_roc_curve 0.8370701852613982 [0.83707,0.83707] area_under_roc_curve 0.836959920114596 [0.83696,0.83696] 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 0.8388801215674857 [0.808309,0.861433] f_measure 0.8392321847894095 [0.806709,0.863225] f_measure 0.835536389231251 [0.801604,0.860579] f_measure 0.8437322829465377 [0.814289,0.865461] f_measure 0.8415655345374521 [0.807858,0.866442] f_measure 0.8419765702133997 [0.810811,0.864977] f_measure 0.8468710768894733 [0.816834,0.869039] f_measure 0.8515600710681761 [0.821238,0.873918] f_measure 0.8433834145347422 [0.811517,0.86688] f_measure 0.843008711738812 [0.811486,0.866252] kappa 0.6697758396866147 kappa 0.6700746521287809 kappa 0.6623808542542599 kappa 0.6797778389327265 kappa 0.6745855286584224 kappa 0.6758770543884829 kappa 0.6859499960236083 kappa 0.6953028724195889 kappa 0.67854261786382 kappa 0.6778546998373368 kb_relative_information_score 0.6674570009707165 kb_relative_information_score 0.6688254906786553 kb_relative_information_score 0.6614663279319875 kb_relative_information_score 0.6774348973691627 kb_relative_information_score 0.6742411834817248 kb_relative_information_score 0.6742411834817271 kb_relative_information_score 0.6842785699850945 kb_relative_information_score 0.6942858571295498 kb_relative_information_score 0.6774031358068491 kb_relative_information_score 0.6764905562758926 mean_absolute_error 0.16085613415710504 mean_absolute_error 0.16019417475728157 mean_absolute_error 0.16376075921430147 mean_absolute_error 0.15603619510041933 mean_absolute_error 0.15758110792319577 mean_absolute_error 0.15758110792319577 mean_absolute_error 0.15272566762304127 mean_absolute_error 0.1478702273228868 mean_absolute_error 0.15603619510041933 mean_absolute_error 0.15647759876406975 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 0.8387850264765444 [0.817988,0.854127] precision 0.8393682882441521 [0.826965,0.848519] precision 0.8358096787553689 [0.825441,0.843462] precision 0.8436416070766237 [0.823155,0.858761] precision 0.8421872156944453 [0.837612,0.845564] precision 0.84199405134063 [0.827027,0.85304] precision 0.846881585892587 [0.832255,0.857677] precision 0.8518095487519338 [0.843288,0.858093] precision 0.8435645495218415 [0.832604,0.851646] precision 0.8431034888771876 [0.83025,0.852581] predictive_accuracy 0.839143865842895 predictive_accuracy 0.8398058252427184 predictive_accuracy 0.8362392407856986 predictive_accuracy 0.8439638048995807 predictive_accuracy 0.8424188920768043 predictive_accuracy 0.8424188920768043 predictive_accuracy 0.8472743323769588 predictive_accuracy 0.8521297726771132 predictive_accuracy 0.8439638048995807 predictive_accuracy 0.8435224012359303 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 0.839143865842895 [0.798857,0.868865] recall 0.8398058252427184 [0.787422,0.878451] recall 0.8362392407856986 [0.779106,0.878404] recall 0.8439638048995807 [0.805613,0.872267] recall 0.8424188920768042 [0.780146,0.888377] recall 0.8424188920768042 [0.795218,0.877254] recall 0.8472743323769587 [0.801975,0.880706] recall 0.8521297726771132 [0.800312,0.890337] recall 0.8439638048995807 [0.791472,0.882669] recall 0.8435224012359303 [0.793552,0.880368] relative_absolute_error 0.32921010636644077 relative_absolute_error 0.3278553322661674 relative_absolute_error 0.3351450489909224 relative_absolute_error 0.31933632026493547 relative_absolute_error 0.3224980660101329 relative_absolute_error 0.3224980660101329 relative_absolute_error 0.3125611508109411 relative_absolute_error 0.3026448636964814 relative_absolute_error 0.31935808751255573 relative_absolute_error 0.3202615050161273 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 0.40106873994005693 root_mean_squared_error 0.40024264485094735 root_mean_squared_error 0.40467364531718825 root_mean_squared_error 0.39501417075899864 root_mean_squared_error 0.39696486988547963 root_mean_squared_error 0.39696486988547963 root_mean_squared_error 0.3908013147662649 root_mean_squared_error 0.3845389802385277 root_mean_squared_error 0.39501417075899864 root_mean_squared_error 0.3955724949539209 root_relative_squared_error 0.811432479250326 root_relative_squared_error 0.8097611438419544 root_relative_squared_error 0.8187021452456875 root_relative_squared_error 0.7991598977229032 root_relative_squared_error 0.8031063903548289 root_relative_squared_error 0.8031063903548289 root_relative_squared_error 0.7906367970001988 root_relative_squared_error 0.7780203911956662 root_relative_squared_error 0.7992143721583521 root_relative_squared_error 0.8003440043435676 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 189997.3686939993 usercpu_time_millis 197471.6229300011 usercpu_time_millis 179267.11438100212 usercpu_time_millis 220919.77728600067 usercpu_time_millis 164210.07754900167 usercpu_time_millis 236470.4478520016 usercpu_time_millis 228528.88600299958 usercpu_time_millis 184156.39050400024 usercpu_time_millis 205181.6167900015 usercpu_time_millis 212194.12623500102 usercpu_time_millis_testing 10241.001313999732 usercpu_time_millis_testing 9435.702740000124 usercpu_time_millis_testing 11133.567795001 usercpu_time_millis_testing 11677.622973000325 usercpu_time_millis_testing 7422.124562001045 usercpu_time_millis_testing 12707.941828000912 usercpu_time_millis_testing 12189.448307999555 usercpu_time_millis_testing 12636.532254000485 usercpu_time_millis_testing 7987.02127100114 usercpu_time_millis_testing 11664.431852001144 usercpu_time_millis_training 179756.36737999957 usercpu_time_millis_training 188035.92019000096 usercpu_time_millis_training 168133.54658600112 usercpu_time_millis_training 209242.15431300036 usercpu_time_millis_training 156787.9529870006 usercpu_time_millis_training 223762.5060240007 usercpu_time_millis_training 216339.43769500003 usercpu_time_millis_training 171519.85824999976 usercpu_time_millis_training 197194.59551900037 usercpu_time_millis_training 200529.69438299988 wall_clock_time_millis 190063.77124786377 wall_clock_time_millis 197642.78030395508 wall_clock_time_millis 179322.13592529297 wall_clock_time_millis 221054.56495285034 wall_clock_time_millis 164250.02670288086 wall_clock_time_millis 236502.95162200928 wall_clock_time_millis 228631.19840621948 wall_clock_time_millis 184198.82464408875 wall_clock_time_millis 205263.9982700348 wall_clock_time_millis 212220.609664917 wall_clock_time_millis_testing 10284.670352935791 wall_clock_time_millis_testing 9437.438011169434 wall_clock_time_millis_testing 11134.466648101807 wall_clock_time_millis_testing 11684.121370315552 wall_clock_time_millis_testing 7422.424793243408 wall_clock_time_millis_testing 12708.576679229736 wall_clock_time_millis_testing 12189.908504486084 wall_clock_time_millis_testing 12638.912916183472 wall_clock_time_millis_testing 7987.560987472534 wall_clock_time_millis_testing 11664.937973022461 wall_clock_time_millis_training 179779.10089492798 wall_clock_time_millis_training 188205.34229278564 wall_clock_time_millis_training 168187.66927719116 wall_clock_time_millis_training 209370.4435825348 wall_clock_time_millis_training 156827.60190963745 wall_clock_time_millis_training 223794.37494277954 wall_clock_time_millis_training 216441.2899017334 wall_clock_time_millis_training 171559.91172790527 wall_clock_time_millis_training 197276.43728256226 wall_clock_time_millis_training 200555.67169189453