8778575 4009 Vishal Chouskey 29 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) 6753892 categorical_features [0, 3, 4, 5, 6, 8, 9, 11, 12] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap true 7257 class_weight null 7257 criterion "gini" 7257 max_depth null 7257 max_features 0.20394995470289726 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 6 7257 min_samples_split 5 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 28753 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [0, 3, 4, 5, 6, 8, 9, 11, 12] 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. 29 credit-approval https://www.openml.org/data/download/29/dataset_29_credit-a.arff -1 18473371 description https://api.openml.org/data/download/18473371/description.xml -1 18473372 predictions https://api.openml.org/data/download/18473372/predictions.arff area_under_roc_curve 0.9262848589482994 [0.926285,0.926285] average_cost 0 f_measure 0.8654784657529506 [0.852146,0.876165] kappa 0.7284407241580689 kb_relative_information_score 405.53236268432136 mean_absolute_error 0.21805036612255646 mean_prior_absolute_error 0.49395157912373255 number_of_instances 690 [307,383] precision 0.8665592087496624 [0.832298,0.894022] predictive_accuracy 0.8652173913043478 prior_entropy 0.9912816166382369 recall 0.8652173913043478 [0.872964,0.859008] relative_absolute_error 0.4414407713998538 root_mean_prior_squared_error 0.4969577940522424 root_mean_squared_error 0.3193156292710778 root_relative_squared_error 0.642540741070478 total_cost 0 area_under_roc_curve 0.9051282051282051 [0.905128,0.905128] area_under_roc_curve 0.9470085470085471 [0.947009,0.947009] area_under_roc_curve 0.9162393162393163 [0.916239,0.916239] area_under_roc_curve 0.852716468590832 [0.852716,0.852716] area_under_roc_curve 0.9753820033955856 [0.975382,0.975382] area_under_roc_curve 0.9702886247877758 [0.970289,0.970289] area_under_roc_curve 0.9269949066213922 [0.926995,0.926995] area_under_roc_curve 0.8828522920203734 [0.882852,0.882852] area_under_roc_curve 0.9550084889643463 [0.955008,0.955008] area_under_roc_curve 0.9499151103565366 [0.949915,0.949915] 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 0.8700621118012422 [0.857143,0.88] f_measure 0.8989783295917899 [0.892308,0.90411] f_measure 0.8393366669491764 [0.807018,0.864198] f_measure 0.7828847481021394 [0.761905,0.8] f_measure 0.9418060200668897 [0.933333,0.948718] f_measure 0.8988072876101464 [0.892308,0.90411] f_measure 0.8553784763023894 [0.84375,0.864865] f_measure 0.812070676990272 [0.8,0.821918] f_measure 0.8986795491143318 [0.888889,0.906667] f_measure 0.8553784763023894 [0.84375,0.864865] kappa 0.7376425855513308 kappa 0.7974842767295598 kappa 0.6718547341115434 kappa 0.5619974608548457 kappa 0.8821520068317676 kappa 0.7968026924694994 kappa 0.708860759493671 kappa 0.6226335717290704 kappa 0.7955988150655946 kappa 0.708860759493671 kb_relative_information_score 40.19771655524051 kb_relative_information_score 42.548720534916 kb_relative_information_score 40.24377287884659 kb_relative_information_score 31.482163662795337 kb_relative_information_score 47.48246732859019 kb_relative_information_score 44.970587573062495 kb_relative_information_score 39.90383275928068 kb_relative_information_score 36.562395079183915 kb_relative_information_score 42.10934497501261 kb_relative_information_score 40.03136133739289 mean_absolute_error 0.2196333897429783 mean_absolute_error 0.20403573592064583 mean_absolute_error 0.21283613620427924 mean_absolute_error 0.2785643937343382 mean_absolute_error 0.17520688083752392 mean_absolute_error 0.18719366296194573 mean_absolute_error 0.22440711723127774 mean_absolute_error 0.24282895268122778 mean_absolute_error 0.21111719327280648 mean_absolute_error 0.22468019863854014 mean_prior_absolute_error 0.49283739633073687 mean_prior_absolute_error 0.49283739633073687 mean_prior_absolute_error 0.49283739633073687 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 mean_prior_absolute_error 0.4944290860350177 number_of_instances 69 [30,39] number_of_instances 69 [30,39] number_of_instances 69 [30,39] number_of_instances 69 [31,38] number_of_instances 69 [31,38] number_of_instances 69 [31,38] number_of_instances 69 [31,38] number_of_instances 69 [31,38] number_of_instances 69 [31,38] number_of_instances 69 [31,38] precision 0.8738471673254282 [0.818182,0.916667] precision 0.9088417975886006 [0.828571,0.970588] precision 0.8413848631239936 [0.851852,0.833333] precision 0.7834900117508814 [0.75,0.810811] precision 0.9432033983008496 [0.965517,0.925] precision 0.902460114480575 [0.852941,0.942857] precision 0.8571219440784659 [0.818182,0.888889] precision 0.81561320180246 [0.764706,0.857143] precision 0.8991872307089699 [0.875,0.918919] precision 0.8571219440784659 [0.818182,0.888889] predictive_accuracy 0.8695652173913043 predictive_accuracy 0.8985507246376812 predictive_accuracy 0.8405797101449275 predictive_accuracy 0.782608695652174 predictive_accuracy 0.9420289855072465 predictive_accuracy 0.8985507246376812 predictive_accuracy 0.855072463768116 predictive_accuracy 0.8115942028985508 predictive_accuracy 0.8985507246376812 predictive_accuracy 0.855072463768116 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 prior_entropy 0.9912816166382369 recall 0.8695652173913043 [0.9,0.846154] recall 0.8985507246376812 [0.966667,0.846154] recall 0.8405797101449275 [0.766667,0.897436] recall 0.782608695652174 [0.774194,0.789474] recall 0.9420289855072463 [0.903226,0.973684] recall 0.8985507246376812 [0.935484,0.868421] recall 0.855072463768116 [0.870968,0.842105] recall 0.8115942028985508 [0.83871,0.789474] recall 0.8985507246376812 [0.903226,0.894737] recall 0.855072463768116 [0.870968,0.842105] relative_absolute_error 0.44565081988134103 relative_absolute_error 0.41400213831119276 relative_absolute_error 0.43185873837676 relative_absolute_error 0.5634061619801409 relative_absolute_error 0.35436200212767216 relative_absolute_error 0.37860568532306743 relative_absolute_error 0.4538711891544831 relative_absolute_error 0.4911299912158274 relative_absolute_error 0.42699185633640946 relative_absolute_error 0.45442350578587787 root_mean_prior_squared_error 0.4958355234110137 root_mean_prior_squared_error 0.4958355234110137 root_mean_prior_squared_error 0.4958355234110137 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_prior_squared_error 0.49743799209605494 root_mean_squared_error 0.3264426724050473 root_mean_squared_error 0.30132902055067196 root_mean_squared_error 0.33361435368848563 root_mean_squared_error 0.39475570979062685 root_mean_squared_error 0.24912474028932283 root_mean_squared_error 0.2758765688235099 root_mean_squared_error 0.3222252321738007 root_mean_squared_error 0.3645556877668421 root_mean_squared_error 0.29054992883149194 root_mean_squared_error 0.3095317079863152 root_relative_squared_error 0.6583688682878993 root_relative_squared_error 0.6077197101121995 root_relative_squared_error 0.6728326994271084 root_relative_squared_error 0.793577724385796 root_relative_squared_error 0.5008156679782051 root_relative_squared_error 0.5545948906336016 root_relative_squared_error 0.6477696462548829 root_relative_squared_error 0.7328665955543795 root_relative_squared_error 0.5840927581892196 root_relative_squared_error 0.6222518442591027 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 58.556109000164724 usercpu_time_millis 56.47528899999088 usercpu_time_millis 53.708022999899185 usercpu_time_millis 49.47880300028373 usercpu_time_millis 47.10609700009627 usercpu_time_millis 48.30814799993277 usercpu_time_millis 57.68480400001863 usercpu_time_millis 51.03761600025791 usercpu_time_millis 58.85905399986768 usercpu_time_millis 47.47252899983323 usercpu_time_millis_testing 5.7962360001511115 usercpu_time_millis_testing 5.758115000162434 usercpu_time_millis_testing 5.108578999852398 usercpu_time_millis_testing 4.62325100011185 usercpu_time_millis_testing 4.922865000025922 usercpu_time_millis_testing 4.774481999902491 usercpu_time_millis_testing 6.001055000069755 usercpu_time_millis_testing 5.078111000102581 usercpu_time_millis_testing 5.314924000003884 usercpu_time_millis_testing 4.628289999800472 usercpu_time_millis_training 52.75987300001361 usercpu_time_millis_training 50.71717399982845 usercpu_time_millis_training 48.59944400004679 usercpu_time_millis_training 44.85555200017188 usercpu_time_millis_training 42.18323200007035 usercpu_time_millis_training 43.53366600003028 usercpu_time_millis_training 51.683748999948875 usercpu_time_millis_training 45.95950500015533 usercpu_time_millis_training 53.5441299998638 usercpu_time_millis_training 42.84423900003276