10398449 8323 Heinrich Peters 219 Supervised Classification 16374 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2) 8236240 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 C 34.18479740302528 13389 cache_size 200 13389 class_weight null 13389 coef0 0.465809282171058 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.025017141595224057 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 21718650 description https://api.openml.org/data/download/21718650/description.xml -1 21718651 predictions https://api.openml.org/data/download/21718651/predictions.arff area_under_roc_curve 0.782639551228355 [0.78264,0.78264] average_cost 0 f_measure 0.7938746524053464 [0.742401,0.83185] kappa 0.5758053087439149 kb_relative_information_score 0.5793448823230766 mean_absolute_error 0.20347810734463276 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.7970828869255663 [0.802537,0.793059] predictive_accuracy 0.7965218926553672 prior_entropy 0.9835093906388539 recall 0.7965218926553672 [0.690648,0.874631] relative_absolute_error 0.4164396264843655 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.4510854767609269 root_relative_squared_error 0.9126226545545043 total_cost 0 area_under_roc_curve 0.7859245660242593 [0.785925,0.785925] area_under_roc_curve 0.7753717172812264 [0.775372,0.775372] area_under_roc_curve 0.7740020271665842 [0.774002,0.774002] area_under_roc_curve 0.7838839658459912 [0.783884,0.783884] area_under_roc_curve 0.7766439427831833 [0.776644,0.776644] area_under_roc_curve 0.7783892040221154 [0.778389,0.778389] area_under_roc_curve 0.7946932614654134 [0.794693,0.794693] area_under_roc_curve 0.7846426970575756 [0.784643,0.784643] area_under_roc_curve 0.7834397501666936 [0.78344,0.78344] area_under_roc_curve 0.7894043369096726 [0.789404,0.789404] 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 0.796933269830768 [0.746726,0.833973] f_measure 0.786181892774352 [0.734184,0.824542] f_measure 0.7861341528552441 [0.730356,0.827299] f_measure 0.7943193997420867 [0.745022,0.830701] f_measure 0.7887958530891216 [0.733597,0.829533] f_measure 0.7897667814630341 [0.736989,0.828717] f_measure 0.8045719629580632 [0.758735,0.838401] f_measure 0.7961556485827082 [0.74446,0.834273] f_measure 0.795414301605822 [0.742309,0.834571] f_measure 0.8002974873835599 [0.751114,0.836563] kappa 0.5821252637844491 kappa 0.5600574260732532 kappa 0.5598196172181564 kappa 0.5768800236598173 kappa 0.5652960084084966 kappa 0.5673625545146909 kappa 0.5980595082648569 kappa 0.5804238574498193 kappa 0.5788576042321074 kappa 0.5890261108086561 kb_relative_information_score 0.5853476184943184 kb_relative_information_score 0.5629956199313022 kb_relative_information_score 0.5647424216268089 kb_relative_information_score 0.5793422565407964 kb_relative_information_score 0.5702173597195503 kb_relative_information_score 0.5711298494016761 kb_relative_information_score 0.5998732743885933 kb_relative_information_score 0.5843200236492452 kb_relative_information_score 0.5834074441182888 kb_relative_information_score 0.5920769496623794 mean_absolute_error 0.20057369814651368 mean_absolute_error 0.2113857016769638 mean_absolute_error 0.21054954756124475 mean_absolute_error 0.20348708894283823 mean_absolute_error 0.20790112557934232 mean_absolute_error 0.2074597219156919 mean_absolute_error 0.19355550651070405 mean_absolute_error 0.20105936879276098 mean_absolute_error 0.20150077245641138 mean_absolute_error 0.1973074376517325 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 0.7999121868428102 [0.804805,0.796303] precision 0.7885189656474327 [0.7875,0.789271] precision 0.7906242663771289 [0.800496,0.783339] precision 0.7964791104568558 [0.796099,0.796759] precision 0.793434060869877 [0.804591,0.7852] precision 0.7930768216409613 [0.798182,0.789309] precision 0.8064080064818391 [0.805961,0.806738] precision 0.7998374334504736 [0.808161,0.7937] precision 0.7998762243687333 [0.811728,0.791137] precision 0.803187415217552 [0.808268,0.799441] predictive_accuracy 0.7994263018534863 predictive_accuracy 0.7886142983230361 predictive_accuracy 0.7894504524387552 predictive_accuracy 0.7965129110571618 predictive_accuracy 0.7920988744206576 predictive_accuracy 0.792540278084308 predictive_accuracy 0.806444493489296 predictive_accuracy 0.798940631207239 predictive_accuracy 0.7984992275435886 predictive_accuracy 0.8026925623482676 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 0.7994263018534863 [0.696466,0.875383] recall 0.7886142983230362 [0.68763,0.863113] recall 0.7894504524387552 [0.671518,0.876486] recall 0.7965129110571618 [0.700104,0.867664] recall 0.7920988744206577 [0.674116,0.879171] recall 0.792540278084308 [0.684511,0.872267] recall 0.8064444934892959 [0.716736,0.872651] recall 0.798940631207239 [0.690068,0.879218] recall 0.7984992275435886 [0.683827,0.883052] recall 0.8026925623482675 [0.701508,0.877301] relative_absolute_error 0.41049655238284594 relative_absolute_error 0.4326245293539784 relative_absolute_error 0.43090077727404297 relative_absolute_error 0.4164470824388551 relative_absolute_error 0.4254806417108476 relative_absolute_error 0.4245772857836483 relative_absolute_error 0.39612157407687193 relative_absolute_error 0.41150667287685755 relative_absolute_error 0.4124100903804292 relative_absolute_error 0.4038276240964991 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 0.44785455021302806 root_mean_squared_error 0.459767008034465 root_mean_squared_error 0.45885678327910195 root_mean_squared_error 0.4510954321901722 root_mean_squared_error 0.4559617589001761 root_mean_squared_error 0.45547746587036764 root_mean_squared_error 0.43994943631138345 root_mean_squared_error 0.448396441547835 root_mean_squared_error 0.44888837416044913 root_mean_squared_error 0.44419301846351944 root_relative_squared_error 0.906088387933726 root_relative_squared_error 0.9301893816572911 root_relative_squared_error 0.9283209746379303 root_relative_squared_error 0.9126188530393488 root_relative_squared_error 0.922464001501695 root_relative_squared_error 0.9214842200234103 root_relative_squared_error 0.8900691989107449 root_relative_squared_error 0.9072203152132825 root_relative_squared_error 0.9082156203016524 root_relative_squared_error 0.8987157186951571 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 114488.56593400706 usercpu_time_millis 113056.87044101069 usercpu_time_millis 87845.30121396529 usercpu_time_millis 73703.15610000398 usercpu_time_millis 74498.79253894323 usercpu_time_millis 73682.58246104233 usercpu_time_millis 74073.00462800777 usercpu_time_millis 111596.02961299242 usercpu_time_millis 111922.8473220137 usercpu_time_millis 112908.43685599975 usercpu_time_millis_testing 6733.8111129938625 usercpu_time_millis_testing 6624.565534002613 usercpu_time_millis_testing 3912.7517459564842 usercpu_time_millis_testing 3915.6105460133404 usercpu_time_millis_testing 3933.53544495767 usercpu_time_millis_testing 3927.631377009675 usercpu_time_millis_testing 3949.5307210017927 usercpu_time_millis_testing 6645.578249997925 usercpu_time_millis_testing 6638.113143038936 usercpu_time_millis_testing 6667.392936011311 usercpu_time_millis_training 107754.7548210132 usercpu_time_millis_training 106432.30490700807 usercpu_time_millis_training 83932.5494680088 usercpu_time_millis_training 69787.54555399064 usercpu_time_millis_training 70565.25709398557 usercpu_time_millis_training 69754.95108403265 usercpu_time_millis_training 70123.47390700597 usercpu_time_millis_training 104950.4513629945 usercpu_time_millis_training 105284.73417897476 usercpu_time_millis_training 106241.04391998844 wall_clock_time_millis 114491.15204811096 wall_clock_time_millis 113100.92043876648 wall_clock_time_millis 87881.13236427307 wall_clock_time_millis 73729.65025901794 wall_clock_time_millis 74513.21482658386 wall_clock_time_millis 73691.4713382721 wall_clock_time_millis 74076.1456489563 wall_clock_time_millis 111596.39382362366 wall_clock_time_millis 112274.65891838074 wall_clock_time_millis 112908.76293182373 wall_clock_time_millis_testing 6734.1883182525635 wall_clock_time_millis_testing 6624.59659576416 wall_clock_time_millis_testing 3912.8363132476807 wall_clock_time_millis_testing 3917.1149730682373 wall_clock_time_millis_testing 3933.565855026245 wall_clock_time_millis_testing 3927.680730819702 wall_clock_time_millis_testing 3949.558973312378 wall_clock_time_millis_testing 6645.602703094482 wall_clock_time_millis_testing 6638.139009475708 wall_clock_time_millis_testing 6667.421817779541 wall_clock_time_millis_training 107756.9637298584 wall_clock_time_millis_training 106476.32384300232 wall_clock_time_millis_training 83968.29605102539 wall_clock_time_millis_training 69812.5352859497 wall_clock_time_millis_training 70579.64897155762 wall_clock_time_millis_training 69763.79060745239 wall_clock_time_millis_training 70126.58667564392 wall_clock_time_millis_training 104950.79112052917 wall_clock_time_millis_training 105636.51990890503 wall_clock_time_millis_training 106241.34111404419