8925666 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) 6862520 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 true 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.23381076172479787 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 5 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 18766900 description https://api.openml.org/data/download/18766900/description.xml -1 18766901 predictions https://api.openml.org/data/download/18766901/predictions.arff area_under_roc_curve 0.9837577777777777 [1,0.980053,0.997975,0.995347,0.983083,0.994478,0.946519,0.993356,0.999319,0.947447] average_cost 0 f_measure 0.8341906404736464 [0.995,0.796992,0.957606,0.919192,0.826316,0.909535,0.539604,0.892086,0.966921,0.538653] kappa 0.8155555555555555 kb_relative_information_score 1561.8786885534435 mean_absolute_error 0.06558304972915985 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8353190633393182 [0.995,0.798995,0.955224,0.928571,0.872222,0.889952,0.534314,0.857143,0.984456,0.537313] predictive_accuracy 0.8340000000000001 prior_entropy 3.321928094887362 recall 0.834 [0.995,0.795,0.96,0.91,0.785,0.93,0.545,0.93,0.95,0.54] relative_absolute_error 0.36435027627309907 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15843497499701203 root_relative_squared_error 0.5281165833233653 total_cost 0 area_under_roc_curve 0.982111111111111 [1,0.9825,0.994444,0.998056,0.9775,1,0.92,0.993889,0.999444,0.955278] area_under_roc_curve 0.9831944444444446 [1,0.971667,0.998056,0.988611,0.984722,0.993333,0.951944,0.991389,0.998889,0.953333] area_under_roc_curve 0.9820555555555555 [1,0.985556,1,0.988889,0.992222,0.995278,0.918889,0.9925,1,0.947222] area_under_roc_curve 0.9890277777777778 [1,0.986111,0.997778,0.998611,0.991667,0.995278,0.976111,0.995556,0.999722,0.949444] area_under_roc_curve 0.9853888888888889 [1,0.977778,0.999167,0.993611,0.994167,0.994722,0.956667,0.995,1,0.942778] area_under_roc_curve 0.9852500000000001 [1,0.983056,1,0.996667,0.994167,0.994167,0.946389,0.993889,1,0.944167] area_under_roc_curve 0.9826388888888888 [1,0.975,0.9975,0.998889,0.98,0.986389,0.966667,0.989722,1,0.932222] area_under_roc_curve 0.9862499999999998 [1,0.977222,0.998056,0.996111,0.973333,0.998333,0.958333,0.995556,0.998056,0.9675] area_under_roc_curve 0.9836666666666666 [1,0.9825,1,0.998056,0.986111,0.9875,0.944167,0.996111,1,0.942222] area_under_roc_curve 0.9789722222222221 [1,0.983611,0.994167,0.999444,0.961389,0.999722,0.928056,0.992778,0.995278,0.935278] 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 0.8052696134122829 [0.974359,0.790698,0.926829,0.947368,0.820513,1,0.324324,0.9,0.95,0.418605] f_measure 0.8192234720765633 [1,0.810811,0.952381,0.9,0.756757,0.837209,0.540541,0.829268,0.974359,0.590909] f_measure 0.8216715804520682 [1,0.780488,0.974359,0.820513,0.829268,0.9,0.47619,0.871795,1,0.564103] f_measure 0.8547288965027866 [1,0.789474,0.974359,0.952381,0.790698,0.878049,0.714286,0.842105,0.974359,0.631579] f_measure 0.8279717721822983 [1,0.736842,0.947368,0.9,0.810811,0.909091,0.540541,0.863636,1,0.571429] f_measure 0.8533378874649733 [1,0.829268,0.97561,0.894737,0.871795,0.9,0.619048,0.952381,0.95,0.540541] f_measure 0.8390622019528119 [1,0.761905,0.947368,0.95,0.823529,0.883721,0.634146,0.863636,1,0.526316] f_measure 0.8597896928384735 [1,0.761905,0.97561,0.95,0.810811,0.923077,0.681818,0.909091,0.918919,0.666667] f_measure 0.846542709333407 [1,0.864865,1,0.952381,0.833333,0.923077,0.461538,0.930233,1,0.5] f_measure 0.8137420316439333 [0.97561,0.85,0.904762,0.918919,0.918919,0.95,0.372093,0.952381,0.894737,0.4] kappa 0.7833333333333334 kappa 0.7999999999999999 kappa 0.7999999999999999 kappa 0.8388888888888889 kappa 0.8111111111111111 kappa 0.8388888888888889 kappa 0.8222222222222222 kappa 0.8444444444444444 kappa 0.8277777777777777 kappa 0.788888888888889 kb_relative_information_score 154.8850074916623 kb_relative_information_score 155.65381409378872 kb_relative_information_score 154.84992455809063 kb_relative_information_score 158.28723891142647 kb_relative_information_score 155.12258412465567 kb_relative_information_score 158.77898192364023 kb_relative_information_score 156.2965997907749 kb_relative_information_score 157.15749909533864 kb_relative_information_score 158.65243890060162 kb_relative_information_score 152.19459966346506 mean_absolute_error 0.06759710209235212 mean_absolute_error 0.06609405353535353 mean_absolute_error 0.06678341932511932 mean_absolute_error 0.0637581481240981 mean_absolute_error 0.06728754385059386 mean_absolute_error 0.06259264367854371 mean_absolute_error 0.06587694588744586 mean_absolute_error 0.06522937424242427 mean_absolute_error 0.06259071472416472 mean_absolute_error 0.06802055183150182 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 0.8080243126999084 [1,0.73913,0.904762,1,0.842105,1,0.352941,0.9,0.95,0.391304] precision 0.8237007727992384 [1,0.882353,0.909091,0.9,0.823529,0.782609,0.588235,0.809524,1,0.541667] precision 0.8241763499658237 [1,0.761905,1,0.842105,0.809524,0.9,0.454545,0.894737,1,0.578947] precision 0.8576071271723446 [1,0.833333,1,0.909091,0.73913,0.857143,0.681818,0.888889,1,0.666667] precision 0.8318820558526441 [1,0.777778,1,0.9,0.882353,0.833333,0.588235,0.791667,1,0.545455] precision 0.8539321342572117 [1,0.809524,0.952381,0.944444,0.894737,0.9,0.590909,0.909091,0.95,0.588235] precision 0.8469629525064307 [1,0.727273,1,0.95,1,0.826087,0.619048,0.791667,1,0.555556] precision 0.8667708375216115 [1,0.727273,0.952381,0.95,0.882353,0.947368,0.625,0.833333,1,0.75] precision 0.8536718561982728 [1,0.941176,1,0.909091,0.9375,0.947368,0.473684,0.869565,1,0.458333] precision 0.8217378756509192 [0.952381,0.85,0.863636,1,1,0.95,0.347826,0.909091,0.944444,0.4] predictive_accuracy 0.805 predictive_accuracy 0.82 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.83 predictive_accuracy 0.855 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.845 predictive_accuracy 0.81 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 0.805 [0.95,0.85,0.95,0.9,0.8,1,0.3,0.9,0.95,0.45] recall 0.82 [1,0.75,1,0.9,0.7,0.9,0.5,0.85,0.95,0.65] recall 0.82 [1,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.55] recall 0.855 [1,0.75,0.95,1,0.85,0.9,0.75,0.8,0.95,0.6] recall 0.83 [1,0.7,0.9,0.9,0.75,1,0.5,0.95,1,0.6] recall 0.855 [1,0.85,1,0.85,0.85,0.9,0.65,1,0.95,0.5] recall 0.84 [1,0.8,0.9,0.95,0.7,0.95,0.65,0.95,1,0.5] recall 0.86 [1,0.8,1,0.95,0.75,0.9,0.75,1,0.85,0.6] recall 0.845 [1,0.8,1,1,0.75,0.9,0.45,1,1,0.55] recall 0.81 [1,0.85,0.95,0.85,0.85,0.95,0.4,1,0.85,0.4] relative_absolute_error 0.37553945606862327 relative_absolute_error 0.36718918630752 relative_absolute_error 0.37101899625066326 relative_absolute_error 0.3542119340227676 relative_absolute_error 0.3738196880588552 relative_absolute_error 0.34773690932524326 relative_absolute_error 0.365983032708033 relative_absolute_error 0.36238541245791306 relative_absolute_error 0.3477261929120266 relative_absolute_error 0.37789195461945496 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 0.16142850459352007 root_mean_squared_error 0.1619749114354341 root_mean_squared_error 0.16118308918439267 root_mean_squared_error 0.1524899964628037 root_mean_squared_error 0.1610385135922285 root_mean_squared_error 0.15237577320607443 root_mean_squared_error 0.1583937063241482 root_mean_squared_error 0.15660217357030654 root_mean_squared_error 0.15197925007083635 root_mean_squared_error 0.16621044850035777 root_relative_squared_error 0.5380950153117339 root_relative_squared_error 0.5399163714514473 root_relative_squared_error 0.5372769639479759 root_relative_squared_error 0.508299988209346 root_relative_squared_error 0.5367950453074287 root_relative_squared_error 0.5079192440202484 root_relative_squared_error 0.5279790210804943 root_relative_squared_error 0.5220072452343554 root_relative_squared_error 0.5065975002361215 root_relative_squared_error 0.5540348283345262 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 14445.055045998743 usercpu_time_millis 14490.65757199969 usercpu_time_millis 14437.788926001303 usercpu_time_millis 14467.412902000433 usercpu_time_millis 14503.702139001689 usercpu_time_millis 14439.136771999983 usercpu_time_millis 14480.579527000373 usercpu_time_millis 14452.876626000943 usercpu_time_millis 14443.874493999829 usercpu_time_millis 14617.616919998909 usercpu_time_millis_testing 97.18128599888587 usercpu_time_millis_testing 98.07035399899178 usercpu_time_millis_testing 104.10540399971069 usercpu_time_millis_testing 104.93478600074013 usercpu_time_millis_testing 97.91365100136318 usercpu_time_millis_testing 100.53605299981427 usercpu_time_millis_testing 131.95460899987665 usercpu_time_millis_testing 95.93757699985872 usercpu_time_millis_testing 98.39198000008764 usercpu_time_millis_testing 103.1820059997699 usercpu_time_millis_training 14347.873759999857 usercpu_time_millis_training 14392.587218000699 usercpu_time_millis_training 14333.683522001593 usercpu_time_millis_training 14362.478115999693 usercpu_time_millis_training 14405.788488000326 usercpu_time_millis_training 14338.60071900017 usercpu_time_millis_training 14348.624918000496 usercpu_time_millis_training 14356.939049001085 usercpu_time_millis_training 14345.482513999741 usercpu_time_millis_training 14514.43491399914