10309719 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) 8170756 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 1000000000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 2000 15084 n_epoch 2 15084 random_state 39135 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21541044 description https://api.openml.org/data/download/21541044/description.xml -1 21541045 predictions https://api.openml.org/data/download/21541045/predictions.arff area_under_roc_curve 0.836564233265124 [0.836564,0.836564] average_cost 0 f_measure 0.8428264366787961 [0.810975,0.866325] kappa 0.6774412329938766 kb_relative_information_score 0.6762506816662791 mean_absolute_error 0.15660310734463276 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.8429912583881223 [0.831667,0.851346] predictive_accuracy 0.8433968926553672 prior_entropy 0.9835093906388539 recall 0.8433968926553672 [0.791288,0.881841] relative_absolute_error 0.3205049446348218 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.3957311048485231 root_relative_squared_error 0.8006313437310141 total_cost 0 area_under_roc_curve 0.8378226917337347 [0.837823,0.837823] area_under_roc_curve 0.8370944829917223 [0.837094,0.837094] area_under_roc_curve 0.8309761142039624 [0.830976,0.830976] area_under_roc_curve 0.8350851736927686 [0.835085,0.835085] area_under_roc_curve 0.8309885746594606 [0.830989,0.830989] area_under_roc_curve 0.8445817354045202 [0.844582,0.844582] area_under_roc_curve 0.8329256272294248 [0.832926,0.832926] area_under_roc_curve 0.8406313706535992 [0.840631,0.840631] area_under_roc_curve 0.8385907675570826 [0.838591,0.838591] area_under_roc_curve 0.836946760078992 [0.836947,0.836947] 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 0.8413772233464554 [0.813392,0.862023] f_measure 0.8428829561763229 [0.811771,0.865835] f_measure 0.8382602239994167 [0.80398,0.86356] f_measure 0.840688240482631 [0.809524,0.863688] f_measure 0.8380918226321337 [0.804079,0.863193] f_measure 0.8517585779513704 [0.82014,0.875093] f_measure 0.8390244864594568 [0.806803,0.862804] f_measure 0.8476197420713198 [0.815471,0.871324] f_measure 0.8452730832306533 [0.813169,0.868945] f_measure 0.8431825420936433 [0.811401,0.866616] kappa 0.6754152105129154 kappa 0.6776994270603791 kappa 0.6678175543355449 kappa 0.6732874712126596 kappa 0.6675217446808083 kappa 0.6955087687246975 kappa 0.6697270546350941 kappa 0.6870338191412062 kappa 0.6823071540403042 kappa 0.6781543094512201 kb_relative_information_score 0.6720186333305175 kb_relative_information_score 0.676124102454333 kb_relative_information_score 0.6673975108657944 kb_relative_information_score 0.6715037144353544 kb_relative_information_score 0.6669412660247311 kb_relative_information_score 0.6952284461705815 kb_relative_information_score 0.668310000547919 kb_relative_information_score 0.6865289311164162 kb_relative_information_score 0.6815097436961537 kb_relative_information_score 0.6769468460413701 mean_absolute_error 0.1586496028243601 mean_absolute_error 0.15666372462488967 mean_absolute_error 0.16089163540057383 mean_absolute_error 0.158905318914147 mean_absolute_error 0.16111233723239904 mean_absolute_error 0.14742882365923637 mean_absolute_error 0.1604502317369234 mean_absolute_error 0.15162215846391525 mean_absolute_error 0.1540498786139925 mean_absolute_error 0.15625689693224454 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 0.8414061259466973 [0.812338,0.862851] precision 0.8429151302688118 [0.828463,0.853577] precision 0.8388141878403935 [0.832869,0.843202] precision 0.8406691095602159 [0.824353,0.85271] precision 0.8385483916484056 [0.831299,0.843899] precision 0.8524864455392791 [0.850838,0.853703] precision 0.8391045237737265 [0.825449,0.849183] precision 0.8481506447184581 [0.843333,0.851703] precision 0.8456218096897975 [0.837838,0.851361] precision 0.8433356727629292 [0.831786,0.851852] predictive_accuracy 0.8413503971756399 predictive_accuracy 0.8433362753751104 predictive_accuracy 0.8391083645994262 predictive_accuracy 0.8410946810858531 predictive_accuracy 0.838887662767601 predictive_accuracy 0.8525711763407636 predictive_accuracy 0.8395497682630766 predictive_accuracy 0.8483778415360849 predictive_accuracy 0.8459501213860076 predictive_accuracy 0.8437431030677555 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 0.8413503971756399 [0.814449,0.861196] recall 0.8433362753751104 [0.795738,0.878451] recall 0.8391083645994262 [0.777027,0.884925] recall 0.8410946810858531 [0.795218,0.874952] recall 0.838887662767601 [0.778586,0.883391] recall 0.8525711763407636 [0.79158,0.897583] recall 0.8395497682630766 [0.788981,0.87687] recall 0.8483778415360848 [0.789392,0.891871] recall 0.8459501213860076 [0.789912,0.88727] recall 0.8437431030677555 [0.791992,0.881902] relative_absolute_error 0.32469419269886274 relative_absolute_error 0.3206298703980424 relative_absolute_error 0.3292732354641273 relative_absolute_error 0.32520813379173064 relative_absolute_error 0.3297249134277269 relative_absolute_error 0.3017208796845501 relative_absolute_error 0.32836987953692803 relative_absolute_error 0.3103239124768399 relative_absolute_error 0.31529270874648363 relative_absolute_error 0.3198097962643416 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 0.3983084267553978 root_mean_squared_error 0.39580768641461433 root_mean_squared_error 0.40111299580115056 root_mean_squared_error 0.3986293001199824 root_mean_squared_error 0.40138801331429796 root_mean_squared_error 0.38396461250906494 root_mean_squared_error 0.4005623943119516 root_mean_squared_error 0.38938690073487997 root_mean_squared_error 0.39249188350078335 root_mean_squared_error 0.3952934314306836 root_relative_squared_error 0.8058478810309032 root_relative_squared_error 0.800788444249601 root_relative_squared_error 0.8114985345559843 root_relative_squared_error 0.8064737275149524 root_relative_squared_error 0.8120549271716128 root_relative_squared_error 0.7768053482040004 root_relative_squared_error 0.8103846033039767 root_relative_squared_error 0.7878289702861863 root_relative_squared_error 0.7941111420043447 root_relative_squared_error 0.7997793876917452 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 156348.5646629997 usercpu_time_millis 172396.02243898844 usercpu_time_millis 155841.48103800544 usercpu_time_millis 164885.3533690126 usercpu_time_millis 161371.4259970002 usercpu_time_millis 152732.54192600143 usercpu_time_millis 159682.22816300113 usercpu_time_millis 159157.57096100424 usercpu_time_millis 159093.40142298606 usercpu_time_millis 155200.26993700594 usercpu_time_millis_testing 7613.314210000681 usercpu_time_millis_testing 7607.425590991625 usercpu_time_millis_testing 7646.707309002522 usercpu_time_millis_testing 8230.252502005897 usercpu_time_millis_testing 7658.976550999796 usercpu_time_millis_testing 7451.017054001568 usercpu_time_millis_testing 10160.462996995193 usercpu_time_millis_testing 7962.819929001853 usercpu_time_millis_testing 7402.344585992978 usercpu_time_millis_testing 7712.17878999596 usercpu_time_millis_training 148735.25045299903 usercpu_time_millis_training 164788.5968479968 usercpu_time_millis_training 148194.77372900292 usercpu_time_millis_training 156655.1008670067 usercpu_time_millis_training 153712.4494460004 usercpu_time_millis_training 145281.52487199986 usercpu_time_millis_training 149521.76516600593 usercpu_time_millis_training 151194.7510320024 usercpu_time_millis_training 151691.05683699308 usercpu_time_millis_training 147488.09114700998 wall_clock_time_millis 156357.36536979675 wall_clock_time_millis 172425.598859787 wall_clock_time_millis 155850.78740119934 wall_clock_time_millis 164898.21982383728 wall_clock_time_millis 161385.1079940796 wall_clock_time_millis 152768.4497833252 wall_clock_time_millis 159704.1530609131 wall_clock_time_millis 159175.11677742004 wall_clock_time_millis 159110.76855659485 wall_clock_time_millis 155210.93583106995 wall_clock_time_millis_testing 7614.242315292358 wall_clock_time_millis_testing 7608.832120895386 wall_clock_time_millis_testing 7649.032354354858 wall_clock_time_millis_testing 8230.569839477539 wall_clock_time_millis_testing 7663.374662399292 wall_clock_time_millis_testing 7451.272010803223 wall_clock_time_millis_testing 10161.663055419922 wall_clock_time_millis_testing 7963.106632232666 wall_clock_time_millis_testing 7402.823686599731 wall_clock_time_millis_testing 7712.476968765259 wall_clock_time_millis_training 148743.1230545044 wall_clock_time_millis_training 164816.7667388916 wall_clock_time_millis_training 148201.75504684448 wall_clock_time_millis_training 156667.64998435974 wall_clock_time_millis_training 153721.7333316803 wall_clock_time_millis_training 145317.17777252197 wall_clock_time_millis_training 149542.49000549316 wall_clock_time_millis_training 151212.01014518738 wall_clock_time_millis_training 151707.94486999512 wall_clock_time_millis_training 147498.4588623047