8778571 4009 Vishal Chouskey 3485 Supervised Classification 7694 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4) 6753888 categorical_features [294, 295, 296, 297, 298] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap false 7257 class_weight null 7257 criterion "entropy" 7257 max_depth null 7257 max_features 0.6196061231000998 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 4 7257 min_samples_split 7 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 54953 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [294, 295, 296, 297, 298] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 312 scene https://www.openml.org/data/download/1390080/phpuZu33P -1 18473363 description https://api.openml.org/data/download/18473363/description.xml -1 18473364 predictions https://api.openml.org/data/download/18473364/predictions.arff area_under_roc_curve 0.9754190659139372 [0.975419,0.975419] average_cost 0 f_measure 0.9752866202665401 [0.985514,0.928395] kappa 0.9139812640020901 kb_relative_information_score 2032.3090357964763 mean_absolute_error 0.046066729974083453 mean_prior_absolute_error 0.29416743712946186 number_of_instances 2407 [1976,431] precision 0.9763185072337248 [0.97288,0.992084] predictive_accuracy 0.9759036144578314 prior_entropy 0.6786037019780878 recall 0.9759036144578314 [0.998482,0.87239] relative_absolute_error 0.15660037162376228 root_mean_prior_squared_error 0.3834035412052162 root_mean_squared_error 0.14600507576807062 root_relative_squared_error 0.38081306007009885 total_cost 0 area_under_roc_curve 0.9566008926474042 [0.956601,0.956601] area_under_roc_curve 0.947322057787174 [0.947322,0.947322] area_under_roc_curve 0.9507869391590322 [0.950787,0.950787] area_under_roc_curve 0.9861992013154803 [0.986199,0.986199] area_under_roc_curve 0.9727507634484379 [0.972751,0.972751] area_under_roc_curve 0.9805027014329339 [0.980503,0.980503] area_under_roc_curve 0.995269958467928 [0.99527,0.99527] area_under_roc_curve 0.9779246842167395 [0.977925,0.977925] area_under_roc_curve 0.9907921142722229 [0.990792,0.990792] area_under_roc_curve 0.9906150395466887 [0.990615,0.990615] 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 0.9830806598522417 [0.99,0.95122] f_measure 0.9743559175078962 [0.985075,0.925] f_measure 0.9699197820016038 [0.98263,0.911392] f_measure 0.9830806598522417 [0.99,0.95122] f_measure 0.9743559175078962 [0.985075,0.925] f_measure 0.9654313340686127 [0.980198,0.897436] f_measure 0.9873792275357838 [0.992443,0.964706] f_measure 0.9652889399158056 [0.9801,0.897436] f_measure 0.9831770081770083 [0.989899,0.952381] f_measure 0.9660211627241899 [0.979899,0.902439] kappa 0.9412481716235981 kappa 0.9101751770406261 kappa 0.8941855359718999 kappa 0.9412481716235981 kappa 0.9101751770406261 kappa 0.8778819356473271 kappa 0.9571606328138889 kappa 0.8777848504137492 kappa 0.9422868822892868 kappa 0.882396177875781 kb_relative_information_score 205.9639557586318 kb_relative_information_score 191.55193549669275 kb_relative_information_score 196.6517901539867 kb_relative_information_score 216.0109695851995 kb_relative_information_score 209.60922821506625 kb_relative_information_score 191.31515298222007 kb_relative_information_score 218.78261619827873 kb_relative_information_score 199.1062805040556 kb_relative_information_score 202.9874433266783 kb_relative_information_score 200.32966357563063 mean_absolute_error 0.04125963248369356 mean_absolute_error 0.05631100573009357 mean_absolute_error 0.05314364750049398 mean_absolute_error 0.033102153724559547 mean_absolute_error 0.039180003951783594 mean_absolute_error 0.062097411578749574 mean_absolute_error 0.03336593558584978 mean_absolute_error 0.04887500000000312 mean_absolute_error 0.04651686507936519 mean_absolute_error 0.04683234126984041 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.29641954703058604 mean_prior_absolute_error 0.2942351598173521 mean_prior_absolute_error 0.2942351598173521 mean_prior_absolute_error 0.2942351598173521 number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [197,44] number_of_instances 240 [197,43] number_of_instances 240 [197,43] number_of_instances 240 [197,43] precision 0.9837311531983074 [0.980198,1] precision 0.9758359775445449 [0.970588,1] precision 0.9719461592956178 [0.965854,1] precision 0.9837311531983074 [0.980198,1] precision 0.9758359775445449 [0.970588,1] precision 0.9680941062724087 [0.961165,1] precision 0.9877385892116182 [0.985,1] precision 0.9679674796747968 [0.960976,1] precision 0.9832557094415165 [0.984925,0.97561] precision 0.9663094782497768 [0.970149,0.948718] predictive_accuracy 0.9834024896265561 predictive_accuracy 0.975103734439834 predictive_accuracy 0.970954356846473 predictive_accuracy 0.9834024896265561 predictive_accuracy 0.975103734439834 predictive_accuracy 0.966804979253112 predictive_accuracy 0.9875518672199171 predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9666666666666667 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 recall 0.983402489626556 [1,0.906977] recall 0.975103734439834 [1,0.860465] recall 0.970954356846473 [1,0.837209] recall 0.983402489626556 [1,0.906977] recall 0.975103734439834 [1,0.860465] recall 0.966804979253112 [1,0.813953] recall 0.9875518672199171 [1,0.931818] recall 0.9666666666666667 [1,0.813953] recall 0.9833333333333333 [0.994924,0.930233] recall 0.9666666666666667 [0.989848,0.860465] relative_absolute_error 0.14045432386043402 relative_absolute_error 0.1916915822952889 relative_absolute_error 0.18090939322130695 relative_absolute_error 0.11268497414621058 relative_absolute_error 0.13337493895690344 relative_absolute_error 0.21138942428106622 relative_absolute_error 0.112563209545715 relative_absolute_error 0.1661086323957426 relative_absolute_error 0.1580941757886473 relative_absolute_error 0.15916636644958346 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3863293741224291 root_mean_prior_squared_error 0.38349184880071946 root_mean_prior_squared_error 0.38349184880071946 root_mean_prior_squared_error 0.38349184880071946 root_mean_squared_error 0.14043418891242052 root_mean_squared_error 0.1683082520028302 root_mean_squared_error 0.17031247140337052 root_mean_squared_error 0.11458573459685699 root_mean_squared_error 0.13945667366549944 root_mean_squared_error 0.1688303502321684 root_mean_squared_error 0.1028469781635897 root_mean_squared_error 0.15902168962195481 root_mean_squared_error 0.13290646219331406 root_mean_squared_error 0.1466625397210987 root_relative_squared_error 0.3667936923527636 root_relative_squared_error 0.43959669424983944 root_relative_squared_error 0.4448314240539022 root_relative_squared_error 0.29928128619695227 root_relative_squared_error 0.3642405645886057 root_relative_squared_error 0.44096033894913156 root_relative_squared_error 0.26621578645737964 root_relative_squared_error 0.41466771749975323 root_relative_squared_error 0.3465691972565982 root_relative_squared_error 0.3824397837392145 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 19522.126244999985 usercpu_time_millis 20665.217605999944 usercpu_time_millis 23233.58229900009 usercpu_time_millis 21659.094021000103 usercpu_time_millis 19840.670391999993 usercpu_time_millis 19603.920204999667 usercpu_time_millis 19586.86398000009 usercpu_time_millis 19490.20130100007 usercpu_time_millis 19676.816931000074 usercpu_time_millis 20765.822344999833 usercpu_time_millis_testing 25.003086999959123 usercpu_time_millis_testing 26.43953500000862 usercpu_time_millis_testing 25.086126000132936 usercpu_time_millis_testing 25.4374020000796 usercpu_time_millis_testing 24.825735999911558 usercpu_time_millis_testing 25.37941399987176 usercpu_time_millis_testing 28.636115999916 usercpu_time_millis_testing 25.102215000060824 usercpu_time_millis_testing 24.53988700017362 usercpu_time_millis_testing 25.530893999984983 usercpu_time_millis_training 19497.123158000024 usercpu_time_millis_training 20638.778070999935 usercpu_time_millis_training 23208.496172999956 usercpu_time_millis_training 21633.656619000023 usercpu_time_millis_training 19815.84465600008 usercpu_time_millis_training 19578.540790999796 usercpu_time_millis_training 19558.227864000175 usercpu_time_millis_training 19465.09908600001 usercpu_time_millis_training 19652.2770439999 usercpu_time_millis_training 20740.291450999848