8915016 1935 Hilde Weerts 14 Supervised Classification 8315 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) 6852089 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 bootstrap false 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.8706145468978171 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 12 7684 min_samples_split 13 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18745676 description https://api.openml.org/data/download/18745676/description.xml -1 18745677 predictions https://api.openml.org/data/download/18745677/predictions.arff area_under_roc_curve 0.9710231944444445 [0.999736,0.958172,0.987353,0.974647,0.947113,0.988336,0.934689,0.987442,0.994314,0.938431] average_cost 0 f_measure 0.7790731081684836 [0.977887,0.703963,0.891688,0.837696,0.708995,0.849246,0.518337,0.84689,0.934726,0.521303] kappa 0.7533333333333334 kb_relative_information_score 1528.6450974875652 mean_absolute_error 0.06125524629477544 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.78245424629005 [0.961353,0.659389,0.898477,0.879121,0.752809,0.853535,0.507177,0.811927,0.978142,0.522613] predictive_accuracy 0.778 prior_entropy 3.321928094887362 recall 0.778 [0.995,0.755,0.885,0.8,0.67,0.845,0.53,0.885,0.895,0.52] relative_absolute_error 0.3403069238598531 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17438834730812727 root_relative_squared_error 0.581294491027082 total_cost 0 area_under_roc_curve 0.9743611111111111 [0.999444,0.962778,0.985556,0.9825,0.956389,0.998889,0.926944,0.98,0.996944,0.954167] area_under_roc_curve 0.9660416666666667 [0.998889,0.972222,0.973611,0.985833,0.912222,0.985833,0.934167,0.983889,0.975972,0.937778] area_under_roc_curve 0.9642222222222222 [1,0.953056,0.995833,0.946667,0.960556,0.987222,0.891667,0.984722,1,0.9225] area_under_roc_curve 0.9784999999999999 [1,0.946389,0.987778,0.991111,0.974722,0.997778,0.958611,0.991111,0.9975,0.94] area_under_roc_curve 0.9797222222222223 [1,0.962778,0.998333,0.993333,0.973333,0.988611,0.945556,0.990556,0.9975,0.947222] area_under_roc_curve 0.9783333333333336 [1,0.961667,1,0.973333,0.979722,0.991667,0.936667,0.993056,0.998333,0.948889] area_under_roc_curve 0.9720555555555553 [1,0.975833,0.973333,0.981944,0.952778,0.981389,0.960833,0.985,0.999167,0.910278] area_under_roc_curve 0.9688472222222222 [1,0.963056,0.9975,0.943611,0.905417,0.996111,0.943333,0.993333,0.988611,0.9575] area_under_roc_curve 0.9751388888888889 [1,0.9475,0.998889,0.996111,0.945556,0.974444,0.943611,0.990833,1,0.954444] area_under_roc_curve 0.9602499999999999 [1,0.950278,0.976667,0.958889,0.918056,0.991389,0.908889,0.992222,0.991944,0.914167] 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 0.768695302997522 [0.97561,0.693878,0.829268,0.888889,0.666667,0.864865,0.512821,0.722222,0.947368,0.585366] f_measure 0.7558306051482439 [0.926829,0.761905,0.8,0.871795,0.705882,0.837209,0.439024,0.780488,0.947368,0.487805] f_measure 0.7423505878582453 [1,0.622222,0.918919,0.722222,0.697674,0.829268,0.358974,0.810811,0.97561,0.487805] f_measure 0.790136379229134 [1,0.634146,0.883721,0.871795,0.727273,0.8,0.636364,0.829268,0.947368,0.571429] f_measure 0.7818882195722626 [0.97561,0.631579,0.923077,0.878049,0.736842,0.820513,0.536585,0.826087,0.95,0.540541] f_measure 0.7950960729596395 [0.97561,0.8,0.952381,0.777778,0.7,0.878049,0.577778,0.930233,0.947368,0.411765] f_measure 0.7794283722122782 [0.97561,0.708333,0.857143,0.820513,0.727273,0.744186,0.682927,0.844444,0.947368,0.486486] f_measure 0.7779072606979582 [1,0.666667,0.923077,0.809524,0.666667,0.871795,0.47619,0.930233,0.857143,0.577778] f_measure 0.8270715416632701 [1,0.810811,0.952381,0.9,0.742857,0.878049,0.514286,0.863636,1,0.608696] f_measure 0.7640406260556449 [0.952381,0.723404,0.871795,0.823529,0.722222,0.974359,0.428571,0.904762,0.810811,0.428571] kappa 0.7388888888888889 kappa 0.7277777777777777 kappa 0.7111111111111111 kappa 0.7666666666666667 kappa 0.7611111111111112 kappa 0.7777777777777778 kappa 0.7555555555555555 kappa 0.75 kappa 0.8111111111111111 kappa 0.7333333333333334 kb_relative_information_score 152.5896531608671 kb_relative_information_score 149.47314675220798 kb_relative_information_score 146.3784890692635 kb_relative_information_score 156.51171002099304 kb_relative_information_score 154.52299155354538 kb_relative_information_score 156.65714365900556 kb_relative_information_score 152.2812296836243 kb_relative_information_score 154.24473685210407 kb_relative_information_score 158.3971203932355 kb_relative_information_score 147.58887634272097 mean_absolute_error 0.061183811191255294 mean_absolute_error 0.06391689001238696 mean_absolute_error 0.06529067277665464 mean_absolute_error 0.05783798093874351 mean_absolute_error 0.06068892528525829 mean_absolute_error 0.05937787157652439 mean_absolute_error 0.06073182130731741 mean_absolute_error 0.06024181951572717 mean_absolute_error 0.056444578936713716 mean_absolute_error 0.06683809140717345 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7835896126310612 [0.952381,0.586207,0.809524,1,0.636364,0.941176,0.526316,0.8125,1,0.571429] precision 0.7633189693601594 [0.904762,0.727273,0.8,0.894737,0.857143,0.782609,0.428571,0.761905,1,0.47619] precision 0.7513543144946765 [1,0.56,1,0.8125,0.652174,0.809524,0.368421,0.882353,0.952381,0.47619] precision 0.7999395227198431 [1,0.619048,0.826087,0.894737,0.666667,0.933333,0.583333,0.809524,1,0.666667] precision 0.7836255986875181 [0.952381,0.666667,0.947368,0.857143,0.777778,0.842105,0.52381,0.730769,0.95,0.588235] precision 0.7983179936006023 [0.952381,0.8,0.909091,0.875,0.7,0.857143,0.52,0.869565,1,0.5] precision 0.797643660104422 [0.952381,0.607143,1,0.842105,0.923077,0.695652,0.666667,0.76,1,0.529412] precision 0.7941460690339409 [1,0.636364,0.947368,0.772727,0.846154,0.894737,0.454545,0.869565,1,0.52] precision 0.8345381579205109 [1,0.882353,0.909091,0.9,0.866667,0.857143,0.6,0.791667,1,0.538462] precision 0.7810128503820455 [0.909091,0.62963,0.894737,1,0.8125,1,0.409091,0.863636,0.882353,0.409091] predictive_accuracy 0.765 predictive_accuracy 0.755 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.785 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.775 predictive_accuracy 0.83 predictive_accuracy 0.76 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.765 [1,0.85,0.85,0.8,0.7,0.8,0.5,0.65,0.9,0.6] recall 0.755 [0.95,0.8,0.8,0.85,0.6,0.9,0.45,0.8,0.9,0.5] recall 0.74 [1,0.7,0.85,0.65,0.75,0.85,0.35,0.75,1,0.5] recall 0.79 [1,0.65,0.95,0.85,0.8,0.7,0.7,0.85,0.9,0.5] recall 0.785 [1,0.6,0.9,0.9,0.7,0.8,0.55,0.95,0.95,0.5] recall 0.8 [1,0.8,1,0.7,0.7,0.9,0.65,1,0.9,0.35] recall 0.78 [1,0.85,0.75,0.8,0.6,0.8,0.7,0.95,0.9,0.45] recall 0.775 [1,0.7,0.9,0.85,0.55,0.85,0.5,1,0.75,0.65] recall 0.83 [1,0.75,1,0.9,0.65,0.9,0.45,0.95,1,0.7] recall 0.76 [1,0.85,0.85,0.7,0.65,0.95,0.45,0.95,0.75,0.45] relative_absolute_error 0.3399100621736409 relative_absolute_error 0.35509383340215017 relative_absolute_error 0.3627259598703039 relative_absolute_error 0.32132211632635316 relative_absolute_error 0.33716069602921306 relative_absolute_error 0.32987706431402475 relative_absolute_error 0.33739900726287486 relative_absolute_error 0.33467677508737353 relative_absolute_error 0.31358099409285434 relative_absolute_error 0.37132273003985294 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.17586726565587046 root_mean_squared_error 0.1847189609658472 root_mean_squared_error 0.18809175449653784 root_mean_squared_error 0.1650700152306798 root_mean_squared_error 0.17139122930336606 root_mean_squared_error 0.16421219553401512 root_mean_squared_error 0.1750987133956381 root_mean_squared_error 0.16979036188924074 root_mean_squared_error 0.16317480903706516 root_mean_squared_error 0.1843393763941734 root_relative_squared_error 0.5862242188529019 root_relative_squared_error 0.6157298698861576 root_relative_squared_error 0.6269725149884597 root_relative_squared_error 0.5502333841022664 root_relative_squared_error 0.5713040976778871 root_relative_squared_error 0.547373985113384 root_relative_squared_error 0.5836623779854606 root_relative_squared_error 0.5659678729641361 root_relative_squared_error 0.5439160301235509 root_relative_squared_error 0.6144645879805782 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 61852.32286799874 usercpu_time_millis 60760.091897001985 usercpu_time_millis 57454.618795996794 usercpu_time_millis 61178.983909001545 usercpu_time_millis 61052.066992997425 usercpu_time_millis 63009.49135799965 usercpu_time_millis 61053.16412800312 usercpu_time_millis 60231.21388099753 usercpu_time_millis 60478.288428996166 usercpu_time_millis 61953.34042399918 usercpu_time_millis_testing 89.44257699840819 usercpu_time_millis_testing 91.01278700109106 usercpu_time_millis_testing 85.75901399672148 usercpu_time_millis_testing 95.1053890021285 usercpu_time_millis_testing 93.63773799850605 usercpu_time_millis_testing 93.33113799948478 usercpu_time_millis_testing 90.98737300155335 usercpu_time_millis_testing 94.2298319969268 usercpu_time_millis_testing 93.88046199819655 usercpu_time_millis_testing 89.23734799827798 usercpu_time_millis_training 61762.88029100033 usercpu_time_millis_training 60669.079110000894 usercpu_time_millis_training 57368.85978200007 usercpu_time_millis_training 61083.878519999416 usercpu_time_millis_training 60958.42925499892 usercpu_time_millis_training 62916.160220000165 usercpu_time_millis_training 60962.176755001565 usercpu_time_millis_training 60136.9840490006 usercpu_time_millis_training 60384.40796699797 usercpu_time_millis_training 61864.1030760009