6264920 1 Jan van Rijn 219 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4297919 axis 0 6947 categorical_features [1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 1.2189928101724323 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.3336049475450156 6953 decision_function_shape null 6953 degree 1 6953 gamma 0.20909408180487793 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 41153 6953 shrinking true 6953 tol 2.2877538042244277e-05 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 151 electricity https://www.openml.org/data/download/2419/electricity-normalized.arff -1 13459959 description https://api.openml.org/data/download/13459959/description.xml -1 13459960 predictions https://api.openml.org/data/download/13459960/predictions.arff area_under_roc_curve 0.8248715604830517 [0.824872,0.824872] average_cost 0 f_measure 0.7549967239915316 [0.690023,0.802931] kappa 0.49568771852080706 kb_relative_information_score 16024.54940550721 mean_absolute_error 0.32894481614347365 mean_prior_absolute_error 0.4886137014923867 number_of_instances 45312 [19237,26075] precision 0.7591774847412576 [0.760213,0.758414] predictive_accuracy 0.7590483757062146 prior_entropy 0.9835108518537583 recall 0.7590483757062146 [0.631699,0.853001] relative_absolute_error 0.6732206140326563 root_mean_prior_squared_error 0.4942738102212943 root_mean_squared_error 0.40644949008120257 root_relative_squared_error 0.8223164603830184 total_cost 0 area_under_roc_curve 0.8251298579136003 [0.82513,0.82513] area_under_roc_curve 0.8204291847888473 [0.820429,0.820429] area_under_roc_curve 0.8110010072035388 [0.811001,0.811001] area_under_roc_curve 0.8270434947650137 [0.827043,0.827043] area_under_roc_curve 0.826057623525978 [0.826058,0.826058] area_under_roc_curve 0.8208768651806626 [0.820877,0.820877] area_under_roc_curve 0.8387672881343767 [0.838767,0.838767] area_under_roc_curve 0.832551108792818 [0.832551,0.832551] area_under_roc_curve 0.818128806440601 [0.818129,0.818129] area_under_roc_curve 0.8289134556179794 [0.828913,0.828913] 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 0.7548454002314378 [0.688375,0.803883] f_measure 0.7569106045841951 [0.692918,0.80412] f_measure 0.74356712570672 [0.675014,0.79416] f_measure 0.7585716321625239 [0.697505,0.80364] f_measure 0.7496694355749388 [0.68118,0.800215] f_measure 0.7544491475042115 [0.688338,0.80324] f_measure 0.7672511561242443 [0.709137,0.81014] f_measure 0.7622186091834704 [0.697714,0.809781] f_measure 0.7473492486079417 [0.678674,0.797987] f_measure 0.7549484658052166 [0.690806,0.802244] kappa 0.49537733118491933 kappa 0.4996280328765158 kappa 0.4721944376838989 kappa 0.5031461471879597 kappa 0.48477197112150155 kappa 0.4945946114195435 kappa 0.521043187511303 kappa 0.510505181164622 kappa 0.47989682993892574 kappa 0.49554700854091427 kb_relative_information_score 1591.9160139696342 kb_relative_information_score 1582.6654943187823 kb_relative_information_score 1520.499346117102 kb_relative_information_score 1620.6059868010793 kb_relative_information_score 1610.5202461823003 kb_relative_information_score 1584.5680991378579 kb_relative_information_score 1673.4236315135245 kb_relative_information_score 1652.1950040116164 kb_relative_information_score 1559.852729876112 kb_relative_information_score 1628.302853579213 mean_absolute_error 0.33027212814098417 mean_absolute_error 0.3311650005217807 mean_absolute_error 0.33687010816925445 mean_absolute_error 0.3269406031800549 mean_absolute_error 0.3276667545083826 mean_absolute_error 0.33088249549867804 mean_absolute_error 0.3225244609372365 mean_absolute_error 0.3242436107796149 mean_absolute_error 0.3328318903237205 mean_absolute_error 0.3260503264360819 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 0.7598359756854234 [0.764109,0.756684] precision 0.7608888733557914 [0.761519,0.760424] precision 0.7477260869418434 [0.745912,0.749065] precision 0.7614043303963789 [0.757152,0.764543] precision 0.754890731871569 [0.758775,0.752024] precision 0.7592012776755142 [0.762476,0.756784] precision 0.7699237102552563 [0.766767,0.772253] precision 0.7674060870315264 [0.774255,0.762356] precision 0.7521335899840079 [0.753651,0.751015] precision 0.75863133058516 [0.757444,0.759507] predictive_accuracy 0.7592674315975287 predictive_accuracy 0.7608120035304502 predictive_accuracy 0.7479585080556168 predictive_accuracy 0.7618627234606048 predictive_accuracy 0.7543588611785478 predictive_accuracy 0.7587728978150519 predictive_accuracy 0.7702493930699624 predictive_accuracy 0.766497461928934 predictive_accuracy 0.7519311410284705 predictive_accuracy 0.7587728978150519 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 prior_entropy 0.9835108518537583 recall 0.7592674315975286 [0.626299,0.857362] recall 0.7608120035304501 [0.635655,0.853144] recall 0.7479585080556168 [0.616424,0.845033] recall 0.7618627234606047 [0.64657,0.846951] recall 0.7543588611785478 [0.617983,0.855006] recall 0.7587728978150519 [0.627339,0.855773] recall 0.7702493930699624 [0.659563,0.851937] recall 0.766497461928934 [0.634945,0.863497] recall 0.7519311410284706 [0.617265,0.851227] recall 0.7587728978150519 [0.634945,0.850077] relative_absolute_error 0.6759389252073581 relative_absolute_error 0.6777662886025679 relative_absolute_error 0.689422480987755 relative_absolute_error 0.6691012242225369 relative_absolute_error 0.6705873312952866 relative_absolute_error 0.6771685151937095 relative_absolute_error 0.6600633557159346 relative_absolute_error 0.6636269191266958 relative_absolute_error 0.6812044852065636 relative_absolute_error 0.6673247102472558 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 0.40591060255764033 root_mean_squared_error 0.4089777361948387 root_mean_squared_error 0.41508759238421117 root_mean_squared_error 0.40536735543138647 root_mean_squared_error 0.40610441147729526 root_mean_squared_error 0.4084957176880252 root_mean_squared_error 0.39715948136784823 root_mean_squared_error 0.4017794626457672 root_mean_squared_error 0.4107381560788498 root_mean_squared_error 0.40460739714417626 root_relative_squared_error 0.8212284174442683 root_relative_squared_error 0.8274337673097201 root_relative_squared_error 0.8397707789531382 root_relative_squared_error 0.820105601994712 root_relative_squared_error 0.8215967526365553 root_relative_squared_error 0.8264346449661372 root_relative_squared_error 0.803500112159914 root_relative_squared_error 0.8129022823853765 root_relative_squared_error 0.8310280031252754 root_relative_squared_error 0.8186239148278489 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 235492.40368400206 usercpu_time_millis 236837.98246899823 usercpu_time_millis 234172.10976400384 usercpu_time_millis 234696.0976249975 usercpu_time_millis 238674.2273199925 usercpu_time_millis 234151.90881700255 usercpu_time_millis 236632.32730599702 usercpu_time_millis 233768.4167499974 usercpu_time_millis 235919.21761199774 usercpu_time_millis 239343.0653989999 usercpu_time_millis_testing 5549.1270490019815 usercpu_time_millis_testing 5540.5560939980205 usercpu_time_millis_testing 5593.37033200427 usercpu_time_millis_testing 5564.151895996474 usercpu_time_millis_testing 5560.189788993739 usercpu_time_millis_testing 5549.583165004151 usercpu_time_millis_testing 5536.7468490003375 usercpu_time_millis_testing 5559.594370999548 usercpu_time_millis_testing 5630.50409599964 usercpu_time_millis_testing 5627.502231000108 usercpu_time_millis_training 229943.27663500007 usercpu_time_millis_training 231297.4263750002 usercpu_time_millis_training 228578.73943199957 usercpu_time_millis_training 229131.94572900102 usercpu_time_millis_training 233114.03753099876 usercpu_time_millis_training 228602.3256519984 usercpu_time_millis_training 231095.5804569967 usercpu_time_millis_training 228208.82237899787 usercpu_time_millis_training 230288.7135159981 usercpu_time_millis_training 233715.5631679998