8784081 4009 Vishal Chouskey 3913 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) 6759398 categorical_features [] 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 "gini" 7257 max_depth null 7257 max_features 0.6836270614096146 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 7 7257 min_samples_split 12 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 4727 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [] 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. 1063 kc2 https://www.openml.org/data/download/53946/kc2.arff -1 18484329 description https://api.openml.org/data/download/18484329/description.xml -1 18484330 predictions https://api.openml.org/data/download/18484330/predictions.arff area_under_roc_curve 0.7812295912622452 [0.78123,0.78123] average_cost 0 f_measure 0.8199343330095514 [0.894366,0.53125] kappa 0.4273106273008752 kb_relative_information_score 130.5661817634504 mean_absolute_error 0.21941338259078144 mean_prior_absolute_error 0.3265917931619429 number_of_instances 522 [415,107] precision 0.8161287777164049 [0.871854,0.6] predictive_accuracy 0.8275862068965517 prior_entropy 0.7339749614986164 recall 0.8275862068965517 [0.918072,0.476636] relative_absolute_error 0.6718276061578305 root_mean_prior_squared_error 0.40368919342550386 root_mean_squared_error 0.3602993407527697 root_relative_squared_error 0.8925166851642728 total_cost 0 area_under_roc_curve 0.8582251082251082 [0.858225,0.858225] area_under_roc_curve 0.8668831168831169 [0.866883,0.866883] area_under_roc_curve 0.8154761904761905 [0.815476,0.815476] area_under_roc_curve 0.7916666666666666 [0.791667,0.791667] area_under_roc_curve 0.888095238095238 [0.888095,0.888095] area_under_roc_curve 0.8159645232815964 [0.815965,0.815965] area_under_roc_curve 0.6696230598669624 [0.669623,0.669623] area_under_roc_curve 0.5920177383592018 [0.592018,0.592018] area_under_roc_curve 0.6995565410199556 [0.699557,0.699557] area_under_roc_curve 0.9002217294900222 [0.900222,0.900222] 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 0.7677611642494607 [0.876404,0.352941] f_measure 0.8522116499769294 [0.921348,0.588235] f_measure 0.835005574136009 [0.888889,0.608696] f_measure 0.8461538461538461 [0.904762,0.6] f_measure 0.9196978731862454 [0.953488,0.777778] f_measure 0.816313407954275 [0.894118,0.526316] f_measure 0.7781905594405595 [0.886364,0.375] f_measure 0.7205128205128204 [0.833333,0.3] f_measure 0.8296172426607211 [0.888889,0.608696] f_measure 0.816313407954275 [0.894118,0.526316] kappa 0.24187256176853067 kappa 0.5175552665799741 kappa 0.49999999999999983 kappa 0.5047619047619047 kappa 0.7319587628865981 kappa 0.4236453201970442 kappa 0.2797783933518005 kappa 0.13539192399049854 kappa 0.4978540772532188 kappa 0.4236453201970442 kb_relative_information_score 10.365895445943119 kb_relative_information_score 21.177251942596897 kb_relative_information_score 5.8713074772549785 kb_relative_information_score 12.706040755321379 kb_relative_information_score 22.95291316780783 kb_relative_information_score 14.774077701019378 kb_relative_information_score 16.23982166580008 kb_relative_information_score -1.522406172676542 kb_relative_information_score 10.217235034523148 kb_relative_information_score 17.784044745860232 mean_absolute_error 0.2343317795459201 mean_absolute_error 0.18711064359856322 mean_absolute_error 0.2402611511523817 mean_absolute_error 0.21427935217108077 mean_absolute_error 0.16515098144781926 mean_absolute_error 0.21489541595130868 mean_absolute_error 0.20907664483754382 mean_absolute_error 0.289218370861613 mean_absolute_error 0.23990780300021444 mean_absolute_error 0.20023599761131575 mean_prior_absolute_error 0.32810024485092887 mean_prior_absolute_error 0.32810024485092887 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3191426893716969 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 mean_prior_absolute_error 0.3304462712859658 number_of_instances 53 [42,11] number_of_instances 53 [42,11] number_of_instances 52 [42,10] number_of_instances 52 [42,10] number_of_instances 52 [42,10] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] number_of_instances 52 [41,11] precision 0.7613408269771177 [0.829787,0.5] precision 0.8642446139435302 [0.87234,0.833333] precision 0.8491124260355031 [0.923077,0.538462] precision 0.8461538461538461 [0.904762,0.6] precision 0.9208916083916083 [0.931818,0.875] precision 0.8131555944055944 [0.863636,0.625] precision 0.7811783960720131 [0.829787,0.6] precision 0.7122838401908169 [0.813953,0.333333] precision 0.8330128205128204 [0.9,0.583333] precision 0.8131555944055944 [0.863636,0.625] predictive_accuracy 0.7924528301886792 predictive_accuracy 0.8679245283018868 predictive_accuracy 0.826923076923077 predictive_accuracy 0.8461538461538461 predictive_accuracy 0.923076923076923 predictive_accuracy 0.826923076923077 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7307692307692308 predictive_accuracy 0.826923076923077 predictive_accuracy 0.826923076923077 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 prior_entropy 0.7339749614986164 recall 0.7924528301886793 [0.928571,0.272727] recall 0.8679245283018868 [0.97619,0.454545] recall 0.8269230769230769 [0.857143,0.7] recall 0.8461538461538461 [0.904762,0.6] recall 0.9230769230769231 [0.97619,0.7] recall 0.8269230769230769 [0.926829,0.454545] recall 0.8076923076923077 [0.95122,0.272727] recall 0.7307692307692307 [0.853659,0.272727] recall 0.8269230769230769 [0.878049,0.636364] recall 0.8269230769230769 [0.926829,0.454545] relative_absolute_error 0.714207877694172 relative_absolute_error 0.5702849861741989 relative_absolute_error 0.7528330090386498 relative_absolute_error 0.6714217787439755 relative_absolute_error 0.5174832040582085 relative_absolute_error 0.6503187798579809 relative_absolute_error 0.6327099531911812 relative_absolute_error 0.8752356918299904 relative_absolute_error 0.7260115300033148 relative_absolute_error 0.6059562930823116 root_mean_prior_squared_error 0.4055532228666397 root_mean_prior_squared_error 0.4055532228666397 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.39435499375345345 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_prior_squared_error 0.4084353596501597 root_mean_squared_error 0.3662840763275677 root_mean_squared_error 0.3111151874523702 root_mean_squared_error 0.37697890180382465 root_mean_squared_error 0.34039181377506295 root_mean_squared_error 0.2819772119780753 root_mean_squared_error 0.359143560998521 root_mean_squared_error 0.37671562629224886 root_mean_squared_error 0.4503992633007383 root_mean_squared_error 0.3849587699818559 root_mean_squared_error 0.3291026584034062 root_relative_squared_error 0.9031714104957684 root_relative_squared_error 0.7671377513739447 root_relative_squared_error 0.9559379436678513 root_relative_squared_error 0.8631609062059254 root_relative_squared_error 0.7150339578414581 root_relative_squared_error 0.879315545319438 root_relative_squared_error 0.9223384248976876 root_relative_squared_error 1.1027430722122646 root_relative_squared_error 0.942520672822225 root_relative_squared_error 0.805764365468492 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 74.12561900014225 usercpu_time_millis 79.60123200018643 usercpu_time_millis 78.00382499976877 usercpu_time_millis 77.5561310001649 usercpu_time_millis 78.7447790000897 usercpu_time_millis 71.29096400012713 usercpu_time_millis 70.18682699981582 usercpu_time_millis 69.15674400011085 usercpu_time_millis 70.92933300009463 usercpu_time_millis 72.56414300013603 usercpu_time_millis_testing 2.3926020000999415 usercpu_time_millis_testing 2.2471910001513606 usercpu_time_millis_testing 2.6148509998620284 usercpu_time_millis_testing 1.8623910000314936 usercpu_time_millis_testing 1.9181679999746848 usercpu_time_millis_testing 2.0975269999325974 usercpu_time_millis_testing 1.6815719998248824 usercpu_time_millis_testing 1.7856730000858079 usercpu_time_millis_testing 1.6813560000628058 usercpu_time_millis_testing 1.770414000020537 usercpu_time_millis_training 71.73301700004231 usercpu_time_millis_training 77.35404100003507 usercpu_time_millis_training 75.38897399990674 usercpu_time_millis_training 75.6937400001334 usercpu_time_millis_training 76.82661100011501 usercpu_time_millis_training 69.19343700019454 usercpu_time_millis_training 68.50525499999094 usercpu_time_millis_training 67.37107100002504 usercpu_time_millis_training 69.24797700003182 usercpu_time_millis_training 70.79372900011549