9201486 3886 Benjamin Strang 9951 Supervised Classification predictive_accuracy 7725 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.tree.tree.DecisionTreeClassifier))(1) 7131313 axis 0 7633 categorical_features [] 7633 copy true 7633 fill_empty 0 7633 missing_values "NaN" 7633 strategy "median" 7633 strategy_nominal "most_frequent" 7633 verbose 0 7633 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 class_weight null 7672 criterion "gini" 7672 max_depth null 7672 max_features null 7672 max_leaf_nodes null 7672 min_impurity_decrease 0.0 7672 min_impurity_split null 7672 min_samples_leaf 1 7672 min_samples_split 2 7672 min_weight_fraction_leaf 0.0 7672 presort false 7672 random_state 53610 7672 splitter "best" 7672 cv 3 7725 error_score "raise" 7725 fit_params null 7725 iid true 7725 n_iter 60 7725 n_jobs -1 7725 param_distributions {"classifier__criterion": ["gini", "entropy"], "classifier__max_depth": [2, 3, 5, 7, 10], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], "imputation__strategy": ["mean", "median", "most_frequent"]} 7725 pre_dispatch "2*n_jobs" 7725 random_state 1 7725 refit true 7725 return_train_score "warn" 7725 scoring null 7725 verbose 0 7725 memory null 7726 openml-python Sklearn_0.19.1. study_123 1488 parkinsons https://www.openml.org/data/download/1592280/php4ylQmK -1 19329381 description https://api.openml.org/data/download/19329381/description.xml -1 19329382 predictions https://api.openml.org/data/download/19329382/predictions.arff area_under_roc_curve 0.8321995464852607 [0.8322,0.8322] average_cost 0 f_measure 0.8620158983200397 [0.721649,0.90785] kappa 0.6295123495883471 kb_relative_information_score 110.84958323927326 mean_absolute_error 0.14520441396124031 mean_prior_absolute_error 0.3724326434986333 number_of_instances 195 [48,147] precision 0.8625470419990967 [0.714286,0.910959] predictive_accuracy 0.8615384615384616 prior_entropy 0.8092605480110475 recall 0.8615384615384616 [0.729167,0.904762] relative_absolute_error 0.3898810066625461 root_mean_prior_squared_error 0.4307769396292177 root_mean_squared_error 0.3563602398395981 root_relative_squared_error 0.8272500383756097 total_cost 0 area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.9666666666666666 [0.966667,0.966667] area_under_roc_curve 0.9733333333333334 [0.973333,0.973333] area_under_roc_curve 0.7666666666666667 [0.766667,0.766667] area_under_roc_curve 0.8466666666666667 [0.846667,0.846667] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.9571428571428572 [0.957143,0.957143] area_under_roc_curve 0.6214285714285714 [0.621429,0.621429] area_under_roc_curve 0.875 [0.875,0.875] area_under_roc_curve 0.9 [0.9,0.9] 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 0.8 [0.6,0.866667] f_measure 0.95141065830721 [0.909091,0.965517] f_measure 0.9047619047619048 [0.833333,0.928571] f_measure 0.8440860215053764 [0.666667,0.903226] f_measure 0.9 [0.8,0.933333] f_measure 0.815910744603444 [0.571429,0.903226] f_measure 0.9487861066808435 [0.909091,0.962963] f_measure 0.6552631578947368 [0.25,0.8] f_measure 0.9444579189910258 [0.857143,0.967742] f_measure 0.8083670715249661 [0.666667,0.846154] kappa 0.4666666666666668 kappa 0.8749999999999999 kappa 0.7647058823529412 kappa 0.5714285714285713 kappa 0.7333333333333334 kappa 0.49557522123893794 kappa 0.8724832214765099 kappa 0.06557377049180331 kappa 0.8256880733944952 kappa 0.5365853658536586 kb_relative_information_score 8.326823866487636 kb_relative_information_score 17.05970504663743 kb_relative_information_score 12.92048623790438 kb_relative_information_score 11.079083761895008 kb_relative_information_score 13.45686781521962 kb_relative_information_score 10.569237514179749 kb_relative_information_score 15.607071207738702 kb_relative_information_score 2.1250392277331978 kb_relative_information_score 13.374124030318365 kb_relative_information_score 6.331144531158959 mean_absolute_error 0.19375 mean_absolute_error 0.05 mean_absolute_error 0.1307692307692308 mean_absolute_error 0.15 mean_absolute_error 0.11598746081504703 mean_absolute_error 0.15789473684210525 mean_absolute_error 0.07706766917293234 mean_absolute_error 0.3037280701754387 mean_absolute_error 0.08436532507739938 mean_absolute_error 0.1929824561403509 mean_prior_absolute_error 0.3743654822335025 mean_prior_absolute_error 0.3743654822335025 mean_prior_absolute_error 0.3743654822335025 mean_prior_absolute_error 0.3743654822335025 mean_prior_absolute_error 0.3743654822335025 mean_prior_absolute_error 0.3809778252738445 mean_prior_absolute_error 0.3809778252738445 mean_prior_absolute_error 0.3809778252738445 mean_prior_absolute_error 0.3545284531124766 mean_prior_absolute_error 0.3545284531124766 number_of_instances 20 [5,15] number_of_instances 20 [5,15] number_of_instances 20 [5,15] number_of_instances 20 [5,15] number_of_instances 20 [5,15] number_of_instances 19 [5,14] number_of_instances 19 [5,14] number_of_instances 19 [5,14] number_of_instances 19 [4,15] number_of_instances 19 [4,15] precision 0.8 [0.6,0.866667] precision 0.9583333333333334 [0.833333,1] precision 0.9285714285714286 [0.714286,1] precision 0.84375 [0.75,0.875] precision 0.9 [0.8,0.933333] precision 0.8699690402476781 [1,0.823529] precision 0.9561403508771931 [0.833333,1] precision 0.6403508771929824 [0.333333,0.75] precision 0.9506578947368421 [1,0.9375] precision 0.8947368421052632 [0.5,1] predictive_accuracy 0.8 predictive_accuracy 0.95 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.9 predictive_accuracy 0.8421052631578948 predictive_accuracy 0.9473684210526316 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.9473684210526316 predictive_accuracy 0.7894736842105263 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 prior_entropy 0.8092605480110475 recall 0.8 [0.6,0.866667] recall 0.95 [1,0.933333] recall 0.9 [1,0.866667] recall 0.85 [0.6,0.933333] recall 0.9 [0.8,0.933333] recall 0.8421052631578947 [0.4,1] recall 0.9473684210526315 [1,0.928571] recall 0.6842105263157895 [0.2,0.857143] recall 0.9473684210526315 [0.75,1] recall 0.7894736842105263 [1,0.733333] relative_absolute_error 0.517542372881356 relative_absolute_error 0.1335593220338983 relative_absolute_error 0.34930899608865723 relative_absolute_error 0.4006779661016949 relative_absolute_error 0.30982413261782055 relative_absolute_error 0.41444600280504906 relative_absolute_error 0.2022891204167502 relative_absolute_error 0.7972329359513793 relative_absolute_error 0.23796489206081833 relative_absolute_error 0.5443355940718413 root_mean_prior_squared_error 0.43301456147707545 root_mean_prior_squared_error 0.43301456147707545 root_mean_prior_squared_error 0.43301456147707545 root_mean_prior_squared_error 0.43301456147707545 root_mean_prior_squared_error 0.43301456147707545 root_mean_prior_squared_error 0.44058365095805124 root_mean_prior_squared_error 0.44058365095805124 root_mean_prior_squared_error 0.44058365095805124 root_mean_prior_squared_error 0.4094686573233146 root_mean_prior_squared_error 0.4094686573233146 root_mean_squared_error 0.4211220131980754 root_mean_squared_error 0.22360679774997896 root_mean_squared_error 0.2659358822933157 root_mean_squared_error 0.3872983346207417 root_mean_squared_error 0.3195755260010074 root_mean_squared_error 0.39735970711951313 root_mean_squared_error 0.2415322107043564 root_mean_squared_error 0.5171801706826824 root_mean_squared_error 0.24330874224718355 root_mean_squared_error 0.42577758243900343 root_relative_squared_error 0.9725354541463159 root_relative_squared_error 0.5163955618195004 root_relative_squared_error 0.614149975433089 root_relative_squared_error 0.8944233498744498 root_relative_squared_error 0.7380248943843573 root_relative_squared_error 0.9018938997292626 root_relative_squared_error 0.5482096536699523 root_relative_squared_error 1.1738523877544518 root_relative_squared_error 0.5942060225993514 root_relative_squared_error 1.0398294834635202 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