8913766 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) 6850891 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 0.9531472293221335 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 20 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 18743192 description https://api.openml.org/data/download/18743192/description.xml -1 18743193 predictions https://api.openml.org/data/download/18743193/predictions.arff area_under_roc_curve 0.9773547222222221 [0.999733,0.964817,0.99095,0.982483,0.972353,0.987028,0.942703,0.987856,0.997014,0.948611] average_cost 0 f_measure 0.7906599518450715 [0.970149,0.697561,0.908189,0.844086,0.748718,0.86783,0.523691,0.863636,0.943299,0.53944] kappa 0.7677777777777778 kb_relative_information_score 1545.1979706018365 mean_absolute_error 0.06375519212545747 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7931341919829972 [0.965347,0.680952,0.901478,0.912791,0.768421,0.865672,0.522388,0.791667,0.973404,0.549223] predictive_accuracy 0.7909999999999999 prior_entropy 3.321928094887362 recall 0.791 [0.975,0.715,0.915,0.785,0.73,0.87,0.525,0.95,0.915,0.53] relative_absolute_error 0.3541955118080861 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16756530391611235 root_relative_squared_error 0.5585510130536993 total_cost 0 area_under_roc_curve 0.9778888888888889 [1,0.963333,0.99,0.992222,0.958889,1,0.931667,0.993056,0.996667,0.953056] area_under_roc_curve 0.9774444444444444 [0.999722,0.981111,0.982222,0.978611,0.959444,0.981944,0.953611,0.990556,0.999167,0.948056] area_under_roc_curve 0.9719444444444444 [1,0.965556,0.996389,0.965833,0.9775,0.988611,0.909444,0.970833,1,0.945278] area_under_roc_curve 0.9819722222222222 [0.998611,0.960278,0.994722,0.9925,0.981944,0.990278,0.967778,0.995,0.999444,0.939167] area_under_roc_curve 0.98 [1,0.965,0.995556,0.992778,0.982222,0.990278,0.958333,0.983889,0.999167,0.932778] area_under_roc_curve 0.9779444444444444 [1,0.954444,0.999444,0.983333,0.983333,0.97,0.943056,0.991667,0.999167,0.955] area_under_roc_curve 0.9830000000000001 [1,0.978333,0.984167,0.99,0.990556,0.982222,0.975278,0.9875,1,0.941944] area_under_roc_curve 0.9795 [0.999722,0.967222,0.999444,0.976944,0.967222,0.988889,0.949167,0.9925,0.981111,0.972778] area_under_roc_curve 0.980111111111111 [0.999722,0.958889,0.999167,0.995833,0.985278,0.980556,0.935833,0.994167,1,0.951667] area_under_roc_curve 0.9721111111111109 [1,0.959722,0.980833,0.969167,0.957222,0.995278,0.911667,0.993611,0.997222,0.956389] 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 0.7946134620869671 [0.97561,0.727273,0.9,0.857143,0.790698,0.974359,0.421053,0.9,0.9,0.5] f_measure 0.7802657839756684 [0.974359,0.727273,0.864865,0.820513,0.666667,0.829268,0.486486,0.863636,0.947368,0.622222] f_measure 0.7791954149271223 [1,0.666667,0.918919,0.666667,0.755556,0.829268,0.55,0.829268,0.97561,0.6] f_measure 0.8041075492982699 [0.95,0.702703,0.926829,0.926829,0.734694,0.8,0.619048,0.878049,0.947368,0.555556] f_measure 0.7463494842477809 [0.97561,0.594595,0.878049,0.9,0.647059,0.809524,0.486486,0.77551,0.97561,0.421053] f_measure 0.8073782823174624 [1,0.652174,0.926829,0.777778,0.705882,0.863636,0.648649,0.909091,0.974359,0.615385] f_measure 0.8147217110375005 [0.974359,0.736842,0.9,0.894737,0.894737,0.863636,0.564103,0.844444,0.974359,0.5] f_measure 0.8004915654915653 [0.95,0.714286,0.952381,0.864865,0.685714,0.871795,0.545455,0.888889,0.864865,0.666667] f_measure 0.8118058967514078 [0.95,0.722222,0.926829,0.871795,0.85,0.923077,0.486486,0.851064,1,0.536585] f_measure 0.7577136071882993 [0.952381,0.727273,0.883721,0.823529,0.722222,0.918919,0.44,0.909091,0.857143,0.342857] kappa 0.7722222222222223 kappa 0.7555555555555555 kappa 0.7555555555555555 kappa 0.7833333333333334 kappa 0.7277777777777777 kappa 0.788888888888889 kappa 0.7944444444444444 kappa 0.7777777777777778 kappa 0.7944444444444444 kappa 0.7277777777777777 kb_relative_information_score 155.72820913889245 kb_relative_information_score 152.11590892975192 kb_relative_information_score 151.1406795510929 kb_relative_information_score 154.4495800984928 kb_relative_information_score 154.541735650036 kb_relative_information_score 156.4473793891196 kb_relative_information_score 156.5768041407446 kb_relative_information_score 153.68198333103214 kb_relative_information_score 158.12095299846166 kb_relative_information_score 152.39473737421017 mean_absolute_error 0.06289888840311268 mean_absolute_error 0.06592458505173754 mean_absolute_error 0.06711851231132587 mean_absolute_error 0.06304903730025913 mean_absolute_error 0.06338458412922797 mean_absolute_error 0.06195148435313959 mean_absolute_error 0.062421566270481094 mean_absolute_error 0.06469480401939 mean_absolute_error 0.06034396846890493 mean_absolute_error 0.06576449094699557 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 0.8002622498274673 [0.952381,0.666667,0.9,1,0.73913,1,0.444444,0.9,0.9,0.5] precision 0.7890550641309154 [1,0.666667,0.941176,0.842105,0.75,0.809524,0.529412,0.791667,1,0.56] precision 0.7883946053946054 [1,0.636364,1,0.846154,0.68,0.809524,0.55,0.809524,0.952381,0.6] precision 0.8151304628434446 [0.95,0.764706,0.904762,0.904762,0.62069,0.933333,0.590909,0.857143,1,0.625] precision 0.7496433766819162 [0.952381,0.647059,0.857143,0.9,0.785714,0.772727,0.529412,0.655172,0.952381,0.444444] precision 0.8176289139137435 [1,0.576923,0.904762,0.875,0.857143,0.791667,0.705882,0.833333,1,0.631579] precision 0.8197280701754386 [1,0.777778,0.9,0.944444,0.944444,0.791667,0.578947,0.76,1,0.5] precision 0.8102209400506613 [0.95,0.681818,0.909091,0.941176,0.8,0.894737,0.5,0.8,0.941176,0.684211] precision 0.8153329197175947 [0.95,0.8125,0.904762,0.894737,0.85,0.947368,0.529412,0.740741,1,0.52381] precision 0.7814344532279314 [0.909091,0.666667,0.826087,1,0.8125,1,0.366667,0.833333,1,0.4] predictive_accuracy 0.795 predictive_accuracy 0.78 predictive_accuracy 0.78 predictive_accuracy 0.805 predictive_accuracy 0.755 predictive_accuracy 0.81 predictive_accuracy 0.815 predictive_accuracy 0.8 predictive_accuracy 0.815 predictive_accuracy 0.755 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 0.78 [0.95,0.8,0.8,0.8,0.6,0.85,0.45,0.95,0.9,0.7] recall 0.78 [1,0.7,0.85,0.55,0.85,0.85,0.55,0.85,1,0.6] recall 0.805 [0.95,0.65,0.95,0.95,0.9,0.7,0.65,0.9,0.9,0.5] recall 0.755 [1,0.55,0.9,0.9,0.55,0.85,0.45,0.95,1,0.4] recall 0.81 [1,0.75,0.95,0.7,0.6,0.95,0.6,1,0.95,0.6] recall 0.815 [0.95,0.7,0.9,0.85,0.85,0.95,0.55,0.95,0.95,0.5] recall 0.8 [0.95,0.75,1,0.8,0.6,0.85,0.6,1,0.8,0.65] recall 0.815 [0.95,0.65,0.95,0.85,0.85,0.9,0.45,1,1,0.55] recall 0.755 [1,0.8,0.95,0.7,0.65,0.85,0.55,1,0.75,0.3] relative_absolute_error 0.34943826890618196 relative_absolute_error 0.36624769473187563 relative_absolute_error 0.37288062395181076 relative_absolute_error 0.35027242944588444 relative_absolute_error 0.35213657849571134 relative_absolute_error 0.34417491307299813 relative_absolute_error 0.34678647928045087 relative_absolute_error 0.35941557788550044 relative_absolute_error 0.33524426927169443 relative_absolute_error 0.36535828303886475 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 0.16640543980663436 root_mean_squared_error 0.17477844152337327 root_mean_squared_error 0.17354187655726502 root_mean_squared_error 0.16651184200092997 root_mean_squared_error 0.16782800520580965 root_mean_squared_error 0.16227264661073623 root_mean_squared_error 0.16287011057773548 root_mean_squared_error 0.16856749604739446 root_mean_squared_error 0.1594334618526586 root_mean_squared_error 0.1727446286569386 root_relative_squared_error 0.5546847993554482 root_relative_squared_error 0.5825948050779113 root_relative_squared_error 0.5784729218575504 root_relative_squared_error 0.5550394733364336 root_relative_squared_error 0.5594266840193658 root_relative_squared_error 0.5409088220357877 root_relative_squared_error 0.5429003685924519 root_relative_squared_error 0.5618916534913151 root_relative_squared_error 0.5314448728421958 root_relative_squared_error 0.5758154288564623 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 163247.1655909976 usercpu_time_millis 163095.81777999847 usercpu_time_millis 163549.94042100225 usercpu_time_millis 162686.29384700034 usercpu_time_millis 162134.77707600032 usercpu_time_millis 159844.61479799938 usercpu_time_millis 162830.63428700189 usercpu_time_millis 165169.32202099997 usercpu_time_millis 162966.2859630007 usercpu_time_millis 161027.5052049983 usercpu_time_millis_testing 86.45267300016712 usercpu_time_millis_testing 89.43108699895674 usercpu_time_millis_testing 86.38250600051833 usercpu_time_millis_testing 85.72337400255492 usercpu_time_millis_testing 86.82792800027528 usercpu_time_millis_testing 98.29665399956866 usercpu_time_millis_testing 87.18267500080401 usercpu_time_millis_testing 85.30964899910032 usercpu_time_millis_testing 87.13236800031154 usercpu_time_millis_testing 82.76512799784541 usercpu_time_millis_training 163160.71291799744 usercpu_time_millis_training 163006.3866929995 usercpu_time_millis_training 163463.55791500173 usercpu_time_millis_training 162600.5704729978 usercpu_time_millis_training 162047.94914800004 usercpu_time_millis_training 159746.31814399982 usercpu_time_millis_training 162743.45161200108 usercpu_time_millis_training 165084.01237200087 usercpu_time_millis_training 162879.1535950004 usercpu_time_millis_training 160944.74007700046