8916092 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) 6853135 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 "entropy" 7684 max_depth null 7684 max_features 0.9627620142731295 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 10 7684 min_samples_split 11 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 18747822 description https://api.openml.org/data/download/18747822/description.xml -1 18747823 predictions https://api.openml.org/data/download/18747823/predictions.arff area_under_roc_curve 0.9783733333333333 [0.99975,0.967022,0.991958,0.984617,0.974603,0.986928,0.943431,0.988606,0.997331,0.949489] average_cost 0 f_measure 0.7986242253713551 [0.972569,0.718447,0.917293,0.842932,0.765306,0.874372,0.532663,0.873563,0.940874,0.548223] kappa 0.7766666666666667 kb_relative_information_score 1559.1843345374832 mean_absolute_error 0.06214148253667653 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8001332887464737 [0.970149,0.698113,0.919598,0.884615,0.78125,0.878788,0.535354,0.808511,0.968254,0.556701] predictive_accuracy 0.799 prior_entropy 3.321928094887362 recall 0.799 [0.975,0.74,0.915,0.805,0.75,0.87,0.53,0.95,0.915,0.54] relative_absolute_error 0.3452304585370812 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1654616779850685 root_relative_squared_error 0.5515389266168866 total_cost 0 area_under_roc_curve 0.9786666666666666 [1,0.9675,0.990833,0.993333,0.959722,1,0.931111,0.993333,0.997778,0.953056] area_under_roc_curve 0.9789166666666667 [0.999444,0.983611,0.986667,0.978611,0.964444,0.982778,0.952778,0.9925,0.999722,0.948611] area_under_roc_curve 0.9724722222222223 [1,0.965833,0.996667,0.968889,0.979444,0.99,0.908889,0.969444,1,0.945556] area_under_roc_curve 0.9825833333333333 [0.999167,0.960833,0.994444,0.994722,0.980833,0.989444,0.968333,0.996667,0.999444,0.941944] area_under_roc_curve 0.9806388888888891 [1,0.966389,0.995556,0.993611,0.984444,0.989722,0.959167,0.986389,0.999167,0.931944] area_under_roc_curve 0.9787777777777777 [1,0.961389,0.999444,0.983333,0.983333,0.967222,0.944167,0.991667,0.999444,0.957778] area_under_roc_curve 0.9838055555555553 [1,0.978333,0.986389,0.993333,0.989722,0.985278,0.975833,0.986944,1,0.942222] area_under_roc_curve 0.9816944444444445 [0.999722,0.972778,0.999722,0.980556,0.968889,0.991667,0.952222,0.993333,0.983056,0.975] area_under_roc_curve 0.9802222222222221 [0.999722,0.959722,0.999444,0.997222,0.985,0.979444,0.935833,0.994444,1,0.951389] area_under_roc_curve 0.9737500000000001 [1,0.9625,0.982222,0.974167,0.966111,0.995,0.910833,0.993611,0.996944,0.956111] 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 0.7953049927784979 [0.97561,0.711111,0.9,0.857143,0.790698,0.974359,0.421053,0.9,0.923077,0.5] f_measure 0.790208310233984 [0.974359,0.772727,0.864865,0.820513,0.666667,0.829268,0.526316,0.863636,0.947368,0.636364] f_measure 0.7797606635807591 [1,0.651163,0.918919,0.666667,0.782609,0.871795,0.473684,0.871795,0.97561,0.585366] f_measure 0.8148926204767025 [0.95,0.756757,0.926829,0.926829,0.75,0.8,0.634146,0.878049,0.947368,0.578947] f_measure 0.7532743359287302 [0.97561,0.65,0.947368,0.9,0.647059,0.809524,0.473684,0.77551,0.97561,0.378378] f_measure 0.8221421999328975 [1,0.727273,0.95,0.75,0.727273,0.863636,0.648649,0.930233,0.974359,0.65] f_measure 0.8235774751564223 [0.974359,0.736842,0.9,0.9,0.894737,0.863636,0.615385,0.863636,0.974359,0.512821] f_measure 0.8108207455575875 [0.95,0.714286,0.952381,0.864865,0.756757,0.894737,0.571429,0.888889,0.864865,0.65] f_measure 0.8165377841509448 [0.95,0.722222,0.926829,0.9,0.85,0.923077,0.473684,0.869565,1,0.55] f_measure 0.7712419458551196 [0.97561,0.744186,0.883721,0.823529,0.756757,0.918919,0.489796,0.909091,0.810811,0.4] kappa 0.7722222222222223 kappa 0.7666666666666667 kappa 0.7555555555555555 kappa 0.7944444444444444 kappa 0.7333333333333334 kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.788888888888889 kappa 0.7999999999999999 kappa 0.7444444444444445 kb_relative_information_score 157.14961878404418 kb_relative_information_score 153.58264974350016 kb_relative_information_score 152.49923209698864 kb_relative_information_score 156.11064210474038 kb_relative_information_score 155.6271481155144 kb_relative_information_score 157.91701525274595 kb_relative_information_score 157.90628575250585 kb_relative_information_score 155.30336199198985 kb_relative_information_score 159.4293298712632 kb_relative_information_score 153.65905082419258 mean_absolute_error 0.0611014241080267 mean_absolute_error 0.0642904561233582 mean_absolute_error 0.0655335513133394 mean_absolute_error 0.061445497890390596 mean_absolute_error 0.06200991316073589 mean_absolute_error 0.06015952840959762 mean_absolute_error 0.060831251721523566 mean_absolute_error 0.06294111343804816 mean_absolute_error 0.058779374657910825 mean_absolute_error 0.06432271454383455 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 0.8023324252660636 [0.952381,0.64,0.9,1,0.73913,1,0.444444,0.9,0.947368,0.5] precision 0.7981694432158828 [1,0.708333,0.941176,0.842105,0.75,0.809524,0.555556,0.791667,1,0.583333] precision 0.7864286552501655 [1,0.608696,1,0.75,0.692308,0.894737,0.5,0.894737,0.952381,0.571429] precision 0.824654528478058 [0.95,0.823529,0.904762,0.904762,0.642857,0.933333,0.619048,0.857143,1,0.611111] precision 0.758014058287892 [0.952381,0.65,1,0.9,0.785714,0.772727,0.5,0.655172,0.952381,0.411765] precision 0.8306857826742737 [1,0.666667,0.95,0.75,0.923077,0.791667,0.705882,0.869565,1,0.65] precision 0.8263450292397659 [1,0.777778,0.9,0.9,0.944444,0.791667,0.631579,0.791667,1,0.526316] precision 0.8186690433749257 [0.95,0.681818,0.909091,0.941176,0.823529,0.944444,0.545455,0.8,0.941176,0.65] precision 0.8183861095045306 [0.95,0.8125,0.904762,0.9,0.85,0.947368,0.5,0.769231,1,0.55] precision 0.7893795539205187 [0.952381,0.695652,0.826087,1,0.823529,1,0.413793,0.833333,0.882353,0.466667] predictive_accuracy 0.795 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.815 predictive_accuracy 0.76 predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.81 predictive_accuracy 0.82 predictive_accuracy 0.77 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 0.795 [1,0.8,0.9,0.75,0.85,0.95,0.4,0.9,0.9,0.5] recall 0.79 [0.95,0.85,0.8,0.8,0.6,0.85,0.5,0.95,0.9,0.7] recall 0.78 [1,0.7,0.85,0.6,0.9,0.85,0.45,0.85,1,0.6] recall 0.815 [0.95,0.7,0.95,0.95,0.9,0.7,0.65,0.9,0.9,0.55] recall 0.76 [1,0.65,0.9,0.9,0.55,0.85,0.45,0.95,1,0.35] recall 0.825 [1,0.8,0.95,0.75,0.6,0.95,0.6,1,0.95,0.65] recall 0.825 [0.95,0.7,0.9,0.9,0.85,0.95,0.6,0.95,0.95,0.5] recall 0.81 [0.95,0.75,1,0.8,0.7,0.85,0.6,1,0.8,0.65] recall 0.82 [0.95,0.65,0.95,0.9,0.85,0.9,0.45,1,1,0.55] recall 0.77 [1,0.8,0.95,0.7,0.7,0.85,0.6,1,0.75,0.35] relative_absolute_error 0.33945235615570424 relative_absolute_error 0.35716920068532376 relative_absolute_error 0.36407528507410825 relative_absolute_error 0.34136387716883704 relative_absolute_error 0.3444995175596442 relative_absolute_error 0.3342196022755427 relative_absolute_error 0.33795139845290906 relative_absolute_error 0.34967285243360124 relative_absolute_error 0.3265520814328383 relative_absolute_error 0.35734841413241464 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 0.16405833442605103 root_mean_squared_error 0.17245316403957942 root_mean_squared_error 0.17182588010483302 root_mean_squared_error 0.1639172505925307 root_mean_squared_error 0.16667127300563142 root_mean_squared_error 0.15977268495849922 root_mean_squared_error 0.16055482232538532 root_mean_squared_error 0.1658953454284987 root_mean_squared_error 0.15766604001299703 root_mean_squared_error 0.1710646630210215 root_relative_squared_error 0.5468611147535039 root_relative_squared_error 0.5748438801319317 root_relative_squared_error 0.572752933682777 root_relative_squared_error 0.546390835308436 root_relative_squared_error 0.5555709100187717 root_relative_squared_error 0.5325756165283311 root_relative_squared_error 0.5351827410846179 root_relative_squared_error 0.5529844847616627 root_relative_squared_error 0.5255534667099905 root_relative_squared_error 0.5702155434034053 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 169954.5411120016 usercpu_time_millis 168463.60375199947 usercpu_time_millis 170363.20531900128 usercpu_time_millis 169958.75027500006 usercpu_time_millis 172194.81080300102 usercpu_time_millis 170331.96293999936 usercpu_time_millis 171665.2395279998 usercpu_time_millis 171051.54835299982 usercpu_time_millis 170800.18810599722 usercpu_time_millis 168578.66025199837 usercpu_time_millis_testing 88.09425000072224 usercpu_time_millis_testing 88.15057700121542 usercpu_time_millis_testing 89.4357030010724 usercpu_time_millis_testing 95.29814699999406 usercpu_time_millis_testing 91.1416740018467 usercpu_time_millis_testing 92.8150910003751 usercpu_time_millis_testing 87.83544999823789 usercpu_time_millis_testing 85.83162400100264 usercpu_time_millis_testing 87.59848899717326 usercpu_time_millis_testing 90.88189199974295 usercpu_time_millis_training 169866.44686200088 usercpu_time_millis_training 168375.45317499826 usercpu_time_millis_training 170273.7696160002 usercpu_time_millis_training 169863.45212800006 usercpu_time_millis_training 172103.66912899917 usercpu_time_millis_training 170239.14784899898 usercpu_time_millis_training 171577.40407800156 usercpu_time_millis_training 170965.7167289988 usercpu_time_millis_training 170712.58961700005 usercpu_time_millis_training 168487.77835999863