9198577 1935 Hilde Weerts 146818 Supervised Classification 8365 sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier))(1) 7129048 categorical_features [0, 3, 4, 5, 7, 8, 10, 11] 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 bootstrap true 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features "auto" 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 1 7684 min_samples_split 2 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 10 7684 n_jobs 1 7684 oob_score false 7684 random_state 6364 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [0, 3, 4, 5, 7, 8, 10, 11] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 cv 5 8365 error_score "raise" 8365 fit_params null 8365 iid true 8365 n_iter 100 8365 n_jobs -1 8365 param_distributions {"clf__bootstrap": [true, false], "clf__criterion": ["gini", "entropy"], "clf__max_features": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": 0, "scale": 1}}}, "clf__min_samples_leaf": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 20, "args": [], "kwds": {"low": 1, "high": 21}}}, "clf__min_samples_split": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 2, "b": 20, "args": [], "kwds": {"low": 2, "high": 21}}}, "clf__n_estimators": [300], "clf__random_state": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 100000, "args": [], "kwds": {"low": 1, "high": 100001}}}} 8365 pre_dispatch "2*n_jobs" 8365 random_state 458485 8365 refit true 8365 return_train_score "warn" 8365 scoring null 8365 verbose 1 8365 openml-python Sklearn_0.19.1. study_98 40981 Australian https://www.openml.org/data/download/18151910/phpelnJ6y -1 19322429 description https://api.openml.org/data/download/19322429/description.xml -1 19322430 predictions https://api.openml.org/data/download/19322430/predictions.arff -1 19322431 trace https://api.openml.org/data/download/19322431/trace.arff area_under_roc_curve 0.9279111630600871 [0.927909,0.927914] average_cost 0 f_measure 0.8697477039868344 [0.880952,0.855769] kappa 0.7367774094827951 kb_relative_information_score 426.7554840236405 mean_absolute_error 0.20104396571916097 mean_prior_absolute_error 0.49395157912373167 number_of_instances 690 [383,307] precision 0.8702969579815433 [0.892761,0.842271] predictive_accuracy 0.8695652173913043 prior_entropy 0.9912816166382369 recall 0.8695652173913043 [0.869452,0.869707] relative_absolute_error 0.407011484963389 root_mean_prior_squared_error 0.49695779405224244 root_mean_squared_error 0.3152102611227935 root_relative_squared_error 0.6342797414495468 total_cost 0 area_under_roc_curve 0.9456706281833618 [0.945671,0.945671] area_under_roc_curve 0.9151103565365026 [0.91511,0.91511] area_under_roc_curve 0.8989813242784381 [0.898981,0.898981] area_under_roc_curve 0.9252971137521222 [0.925297,0.925297] area_under_roc_curve 0.9592529711375214 [0.959253,0.959253] area_under_roc_curve 0.969439728353141 [0.96944,0.96944] area_under_roc_curve 0.9142614601018676 [0.914261,0.914261] area_under_roc_curve 0.941880341880342 [0.94188,0.94188] area_under_roc_curve 0.941025641025641 [0.941026,0.941026] area_under_roc_curve 0.9128205128205128 [0.912821,0.912821] 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 0.8843027810419114 [0.891892,0.875] f_measure 0.8385079714853424 [0.864198,0.807018] f_measure 0.8409148379352471 [0.84507,0.835821] f_measure 0.8842041164291804 [0.885714,0.882353] f_measure 0.9130434782608695 [0.921053,0.903226] f_measure 0.8843027810419114 [0.891892,0.875] f_measure 0.8843027810419114 [0.891892,0.875] f_measure 0.8840579710144928 [0.897436,0.866667] f_measure 0.8675651221486738 [0.891566,0.836364] f_measure 0.8123119392684611 [0.826667,0.793651] kappa 0.7670886075949368 kappa 0.6729857819905213 kappa 0.6825595984943537 kappa 0.7698081734778984 kappa 0.8242784380305602 kappa 0.7670886075949368 kappa 0.7670886075949368 kappa 0.7641025641025642 kappa 0.7294117647058823 kappa 0.6210392902408113 kb_relative_information_score 48.70199380785138 kb_relative_information_score 39.50636627175544 kb_relative_information_score 42.9234219885596 kb_relative_information_score 40.73105856612116 kb_relative_information_score 47.085911124820896 kb_relative_information_score 45.609780706374906 kb_relative_information_score 41.2246051551817 kb_relative_information_score 46.27833241146225 kb_relative_information_score 33.75117968808311 kb_relative_information_score 40.9428343034298 mean_absolute_error 0.155419139636531 mean_absolute_error 0.2274960005162989 mean_absolute_error 0.19370614235469308 mean_absolute_error 0.21594097461851083 mean_absolute_error 0.17085372182835942 mean_absolute_error 0.1809565809928129 mean_absolute_error 0.21247167244993334 mean_absolute_error 0.173181100836898 mean_absolute_error 0.2749746923410454 mean_absolute_error 0.2054396316165285 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.49442908603501656 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 mean_prior_absolute_error 0.4928373963307357 number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [38,31] number_of_instances 69 [39,30] number_of_instances 69 [39,30] number_of_instances 69 [39,30] precision 0.8860342555994729 [0.916667,0.848485] precision 0.8457001374089341 [0.813953,0.884615] precision 0.8500951544429806 [0.909091,0.777778] precision 0.8977918135526831 [0.96875,0.810811] precision 0.9130434782608695 [0.921053,0.903226] precision 0.8860342555994729 [0.916667,0.848485] precision 0.8860342555994729 [0.916667,0.848485] precision 0.8840579710144928 [0.897436,0.866667] precision 0.8752964426877471 [0.840909,0.92] precision 0.8160957400087835 [0.861111,0.757576] predictive_accuracy 0.8840579710144928 predictive_accuracy 0.8405797101449275 predictive_accuracy 0.8405797101449275 predictive_accuracy 0.8840579710144928 predictive_accuracy 0.9130434782608695 predictive_accuracy 0.8840579710144928 predictive_accuracy 0.8840579710144928 predictive_accuracy 0.8840579710144928 predictive_accuracy 0.8695652173913043 predictive_accuracy 0.8115942028985508 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 0.8840579710144928 [0.868421,0.903226] recall 0.8405797101449275 [0.921053,0.741935] recall 0.8405797101449275 [0.789474,0.903226] recall 0.8840579710144928 [0.815789,0.967742] recall 0.9130434782608695 [0.921053,0.903226] recall 0.8840579710144928 [0.868421,0.903226] recall 0.8840579710144928 [0.868421,0.903226] recall 0.8840579710144928 [0.897436,0.866667] recall 0.8695652173913043 [0.948718,0.766667] recall 0.8115942028985508 [0.794872,0.833333] relative_absolute_error 0.31434060824148985 relative_absolute_error 0.46011856288767594 relative_absolute_error 0.391777401099284 relative_absolute_error 0.4367481216572632 relative_absolute_error 0.34555758682906285 relative_absolute_error 0.36599097040176387 relative_absolute_error 0.4297313375186136 relative_absolute_error 0.35139602255482816 relative_absolute_error 0.5579420197985829 relative_absolute_error 0.41685073646209486 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4974379920960552 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_prior_squared_error 0.4958355234110141 root_mean_squared_error 0.28397272795580736 root_mean_squared_error 0.32831420686556173 root_mean_squared_error 0.34823952859942536 root_mean_squared_error 0.3329600594667837 root_mean_squared_error 0.2848768082744707 root_mean_squared_error 0.2720257881720953 root_mean_squared_error 0.3294522275406554 root_mean_squared_error 0.2905865401255427 root_mean_squared_error 0.3289962726022924 root_mean_squared_error 0.3415267307198116 root_relative_squared_error 0.5708706059206115 root_relative_squared_error 0.66001031702895 root_relative_squared_error 0.7000662075127151 root_relative_squared_error 0.6693498782909392 root_relative_squared_error 0.5726880793203689 root_relative_squared_error 0.5468536631588187 root_relative_squared_error 0.6622980809174668 root_relative_squared_error 0.58605429906777 root_relative_squared_error 0.6635189635849805 root_relative_squared_error 0.6887903641319162 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