10313970 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) 8172888 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 0.01 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 500 15084 n_epoch 2 15084 random_state 40823 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21549549 description https://api.openml.org/data/download/21549549/description.xml -1 21549550 predictions https://api.openml.org/data/download/21549550/predictions.arff area_under_roc_curve 0.8361659007333015 [0.836166,0.836166] average_cost 0 f_measure 0.8426923700759141 [0.810405,0.866512] kappa 0.6770899993921857 kb_relative_information_score 0.6761138090683412 mean_absolute_error 0.1566693149717514 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.8429511235644909 [0.833352,0.850033] predictive_accuracy 0.8433306850282486 prior_entropy 0.9835093906388539 recall 0.8433306850282486 [0.788688,0.883643] relative_absolute_error 0.3206404455978861 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.3958147482999483 root_relative_squared_error 0.8008005686620047 total_cost 0 area_under_roc_curve 0.8364894359909697 [0.836489,0.836489] area_under_roc_curve 0.8340186281137202 [0.834019,0.834019] area_under_roc_curve 0.8358888232305954 [0.835889,0.835889] area_under_roc_curve 0.8380176671315912 [0.838018,0.838018] area_under_roc_curve 0.8332776101763444 [0.833278,0.833278] area_under_roc_curve 0.8364334946613429 [0.836433,0.836433] area_under_roc_curve 0.8383887893381564 [0.838389,0.838389] area_under_roc_curve 0.839536196478534 [0.839536,0.839536] area_under_roc_curve 0.8364135792425562 [0.836414,0.836414] area_under_roc_curve 0.8331963493263657 [0.833196,0.833196] 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 0.8416974619117752 [0.811281,0.864137] f_measure 0.8405046086269244 [0.807898,0.86456] f_measure 0.8429565171379318 [0.809882,0.867366] f_measure 0.8440971144955003 [0.812766,0.86722] f_measure 0.8408306194663047 [0.806582,0.866106] f_measure 0.8430724576492259 [0.810695,0.866967] f_measure 0.8447004359956772 [0.813117,0.86801] f_measure 0.8465179225612645 [0.814178,0.870363] f_measure 0.842898554926125 [0.810681,0.866654] f_measure 0.8396104543532773 [0.806933,0.863705] kappa 0.6754649228575703 kappa 0.6726216752896305 kappa 0.6774973549931015 kappa 0.680110136435039 kappa 0.673016062812763 kappa 0.6778512733315579 kappa 0.6812768269682811 kappa 0.6847777546100764 kappa 0.677500252731026 kappa 0.6707904616017007 kb_relative_information_score 0.6733871230384545 kb_relative_information_score 0.6715624700945326 kb_relative_information_score 0.6769786525280995 kb_relative_information_score 0.6788036318923466 kb_relative_information_score 0.6728724489585374 kb_relative_information_score 0.6769786525280983 kb_relative_information_score 0.6801723664155348 kb_relative_information_score 0.6842474822890248 kb_relative_information_score 0.6764905562758916 kb_relative_information_score 0.669646209793716 mean_absolute_error 0.15798764342453664 mean_absolute_error 0.1588702559576346 mean_absolute_error 0.15625689693224454 mean_absolute_error 0.15537408960494373 mean_absolute_error 0.15824321341867137 mean_absolute_error 0.15625689693224454 mean_absolute_error 0.1547119841094681 mean_absolute_error 0.15272566762304127 mean_absolute_error 0.15647759876406975 mean_absolute_error 0.1597881262414478 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 0.8416265729446863 [0.822995,0.855372] precision 0.8407203686954953 [0.830044,0.848597] precision 0.8434722497774013 [0.837778,0.847675] precision 0.8442216034014086 [0.832244,0.853061] precision 0.8415883713494676 [0.838474,0.843886] precision 0.8433874254165777 [0.834802,0.849724] precision 0.8449082551824597 [0.834702,0.852441] precision 0.8470276621594504 [0.841755,0.850916] precision 0.8431356999729859 [0.83315,0.850498] precision 0.8397830576110822 [0.828134,0.848373] predictive_accuracy 0.8420123565754634 predictive_accuracy 0.8411297440423654 predictive_accuracy 0.8437431030677555 predictive_accuracy 0.8446259103950563 predictive_accuracy 0.8417567865813287 predictive_accuracy 0.8437431030677555 predictive_accuracy 0.8452880158905319 predictive_accuracy 0.8472743323769588 predictive_accuracy 0.8435224012359303 predictive_accuracy 0.8402118737585522 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 0.8420123565754634 [0.799896,0.873083] recall 0.8411297440423654 [0.786902,0.881135] recall 0.8437431030677555 [0.783784,0.887994] recall 0.8446259103950563 [0.794179,0.881857] recall 0.8417567865813286 [0.777027,0.889528] recall 0.8437431030677555 [0.787942,0.884925] recall 0.8452880158905319 [0.79262,0.884158] recall 0.8472743323769587 [0.788352,0.890721] recall 0.8435224012359303 [0.789392,0.883436] recall 0.8402118737585522 [0.786791,0.879601] relative_absolute_error 0.32333941859858933 relative_absolute_error 0.3251457840656205 relative_absolute_error 0.3197879982285351 relative_absolute_error 0.31798128637413664 relative_absolute_error 0.3238530999009317 relative_absolute_error 0.3197879982285351 relative_absolute_error 0.3166262524833377 relative_absolute_error 0.31258245623576886 relative_absolute_error 0.3202615050161273 relative_absolute_error 0.3270371362929143 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 0.3974765948135017 root_mean_squared_error 0.39858531829162325 root_mean_squared_error 0.3952934314306836 root_mean_squared_error 0.3941752016615755 root_mean_squared_error 0.39779795552349356 root_mean_squared_error 0.3952934314306836 root_mean_squared_error 0.39333444307544196 root_mean_squared_error 0.3908013147662649 root_mean_squared_error 0.3955724949539209 root_mean_squared_error 0.399735070066973 root_relative_squared_error 0.8041649389620866 root_relative_squared_error 0.8064080812244073 root_relative_squared_error 0.7997248747448488 root_relative_squared_error 0.7974625650505054 root_relative_squared_error 0.8047918201002743 root_relative_squared_error 0.7997248747448488 root_relative_squared_error 0.7957616120330147 root_relative_squared_error 0.7906906904616757 root_relative_squared_error 0.8003440043435676 root_relative_squared_error 0.808765955002066 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 226675.8830050021 usercpu_time_millis 216629.6554699984 usercpu_time_millis 209834.28341000035 usercpu_time_millis 206767.86059499864 usercpu_time_millis 210578.5472469979 usercpu_time_millis 213596.01043000293 usercpu_time_millis 208386.53706699915 usercpu_time_millis 227432.88094799937 usercpu_time_millis 207908.9173809989 usercpu_time_millis 228771.97997999974 usercpu_time_millis_testing 11382.100891001755 usercpu_time_millis_testing 11201.39919599751 usercpu_time_millis_testing 11609.976911000558 usercpu_time_millis_testing 11001.537285999802 usercpu_time_millis_testing 10916.575552997529 usercpu_time_millis_testing 12015.852176002227 usercpu_time_millis_testing 7425.9776920007425 usercpu_time_millis_testing 11433.51655999868 usercpu_time_millis_testing 11546.635668000818 usercpu_time_millis_testing 11618.861318998825 usercpu_time_millis_training 215293.78211400035 usercpu_time_millis_training 205428.2562740009 usercpu_time_millis_training 198224.3064989998 usercpu_time_millis_training 195766.32330899884 usercpu_time_millis_training 199661.9716940004 usercpu_time_millis_training 201580.1582540007 usercpu_time_millis_training 200960.5593749984 usercpu_time_millis_training 215999.3643880007 usercpu_time_millis_training 196362.28171299808 usercpu_time_millis_training 217153.11866100092 wall_clock_time_millis 226807.5885772705 wall_clock_time_millis 216648.00882339478 wall_clock_time_millis 209860.413312912 wall_clock_time_millis 206787.32800483704 wall_clock_time_millis 210600.2230644226 wall_clock_time_millis 213615.10729789734 wall_clock_time_millis 208410.87532043457 wall_clock_time_millis 227454.66494560242 wall_clock_time_millis 207943.603515625 wall_clock_time_millis 228829.003572464 wall_clock_time_millis_testing 11385.028600692749 wall_clock_time_millis_testing 11202.461957931519 wall_clock_time_millis_testing 11610.488176345825 wall_clock_time_millis_testing 11002.799272537231 wall_clock_time_millis_testing 10917.213439941406 wall_clock_time_millis_testing 12016.351461410522 wall_clock_time_millis_testing 7426.230669021606 wall_clock_time_millis_testing 11434.0181350708 wall_clock_time_millis_testing 11549.361228942871 wall_clock_time_millis_testing 11620.791912078857 wall_clock_time_millis_training 215422.55997657776 wall_clock_time_millis_training 205445.54686546326 wall_clock_time_millis_training 198249.92513656616 wall_clock_time_millis_training 195784.5287322998 wall_clock_time_millis_training 199683.0096244812 wall_clock_time_millis_training 201598.75583648682 wall_clock_time_millis_training 200984.64465141296 wall_clock_time_millis_training 216020.64681053162 wall_clock_time_millis_training 196394.24228668213 wall_clock_time_millis_training 217208.21166038513