8910942 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) 6848203 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 0.6570000593742624 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 18 7684 min_samples_split 19 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 18737570 description https://api.openml.org/data/download/18737570/description.xml -1 18737571 predictions https://api.openml.org/data/download/18737571/predictions.arff area_under_roc_curve 0.975741388888889 [0.999797,0.962769,0.993008,0.979903,0.96335,0.991031,0.938567,0.991239,0.9949,0.94285] average_cost 0 f_measure 0.7830777096510227 [0.946602,0.738693,0.930348,0.852041,0.698925,0.851385,0.493766,0.865882,0.936061,0.517073] kappa 0.7594444444444444 kb_relative_information_score 1482.0275095058855 mean_absolute_error 0.07285627154555195 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7844643957114584 [0.919811,0.742424,0.925743,0.869792,0.755814,0.857868,0.492537,0.817778,0.958115,0.504762] predictive_accuracy 0.7835 prior_entropy 3.321928094887362 recall 0.7835 [0.975,0.735,0.935,0.835,0.65,0.845,0.495,0.92,0.915,0.53] relative_absolute_error 0.40475706414194285 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17358035654052142 root_relative_squared_error 0.5786011884683958 total_cost 0 area_under_roc_curve 0.9744722222222222 [0.999722,0.958611,0.990556,0.995,0.953333,0.999444,0.92,0.992778,0.986667,0.948611] area_under_roc_curve 0.9770555555555555 [0.998889,0.97,0.991111,0.981111,0.948056,0.987778,0.954444,0.988889,0.9975,0.952778] area_under_roc_curve 0.9721388888888889 [1,0.973333,0.999167,0.953889,0.95,0.991389,0.918056,0.991389,1,0.944167] area_under_roc_curve 0.9805277777777779 [1,0.958611,0.994167,0.987222,0.984722,0.991944,0.965278,0.993611,0.998889,0.930833] area_under_roc_curve 0.9796944444444445 [1,0.959444,0.998056,0.991389,0.98,0.992778,0.9475,0.991944,0.997778,0.938056] area_under_roc_curve 0.9781666666666665 [0.999722,0.956111,0.999167,0.983333,0.986111,0.988333,0.935833,0.991944,0.995833,0.945278] area_under_roc_curve 0.9783888888888889 [0.998611,0.9725,0.9925,0.985,0.980556,0.981111,0.964444,0.985833,0.999444,0.923889] area_under_roc_curve 0.9758611111111111 [1,0.955278,0.998056,0.963611,0.95,0.995,0.950278,0.994444,0.984167,0.967778] area_under_roc_curve 0.9768611111111111 [1,0.955,0.999444,0.996944,0.971389,0.986667,0.924444,0.994444,1,0.940278] area_under_roc_curve 0.9676111111111111 [1,0.974444,0.973333,0.963611,0.936389,0.996111,0.907222,0.994167,0.991389,0.939444] 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 0.7816669644718424 [0.95,0.755556,0.926829,0.857143,0.731707,0.974359,0.358974,0.9,0.923077,0.439024] f_measure 0.744726176715291 [0.95,0.769231,0.871795,0.8,0.555556,0.75,0.432432,0.790698,0.974359,0.553191] f_measure 0.7679903799165225 [0.974359,0.697674,0.974359,0.702703,0.631579,0.8,0.5,0.789474,0.97561,0.634146] f_measure 0.7898769247312529 [0.97561,0.684211,0.95,0.904762,0.695652,0.789474,0.594595,0.820513,0.947368,0.536585] f_measure 0.7564161015327505 [0.97561,0.611111,0.871795,0.904762,0.606061,0.844444,0.487805,0.826087,0.95,0.486486] f_measure 0.7785300810383653 [0.952381,0.717949,0.952381,0.789474,0.717949,0.878049,0.52381,0.930233,0.923077,0.4] f_measure 0.7936829061026751 [0.863636,0.8,0.894737,0.829268,0.787879,0.829268,0.594595,0.863636,0.95,0.52381] f_measure 0.7985179976309033 [0.930233,0.731707,0.97561,0.871795,0.685714,0.864865,0.55,0.909091,0.894737,0.571429] f_measure 0.8235092392324382 [0.974359,0.8,0.952381,0.952381,0.8,0.871795,0.461538,0.888889,0.97561,0.55814] f_measure 0.7899205947702828 [0.930233,0.809524,0.926829,0.888889,0.777778,0.918919,0.444444,0.930233,0.833333,0.439024] kappa 0.7555555555555555 kappa 0.7166666666666667 kappa 0.7388888888888889 kappa 0.7666666666666667 kappa 0.7388888888888889 kappa 0.7611111111111112 kappa 0.7722222222222223 kappa 0.7777777777777778 kappa 0.8055555555555555 kappa 0.7611111111111112 kb_relative_information_score 146.49938256588902 kb_relative_information_score 146.42843271712098 kb_relative_information_score 146.93858911331426 kb_relative_information_score 149.52995892123587 kb_relative_information_score 149.4226572818338 kb_relative_information_score 149.5124699932736 kb_relative_information_score 148.27900035215546 kb_relative_information_score 148.58635326785767 kb_relative_information_score 151.20498156745558 kb_relative_information_score 145.62568372575163 mean_absolute_error 0.07516139839712113 mean_absolute_error 0.07293143902082021 mean_absolute_error 0.07405081711736276 mean_absolute_error 0.07149894612340327 mean_absolute_error 0.0721313950210471 mean_absolute_error 0.07132289116739657 mean_absolute_error 0.07379562653170306 mean_absolute_error 0.07247479697752038 mean_absolute_error 0.07021078340716498 mean_absolute_error 0.07498462169198086 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 0.7893408521303259 [0.95,0.68,0.904762,1,0.714286,1,0.368421,0.9,0.947368,0.428571] precision 0.7500410677873997 [0.95,0.789474,0.894737,0.8,0.625,0.75,0.470588,0.73913,1,0.481481] precision 0.7746641700158324 [1,0.652174,1,0.764706,0.666667,0.8,0.458333,0.833333,0.952381,0.619048] precision 0.7949931097454318 [0.952381,0.722222,0.95,0.863636,0.615385,0.833333,0.647059,0.842105,1,0.52381] precision 0.7613856399018938 [0.952381,0.6875,0.894737,0.863636,0.769231,0.76,0.47619,0.730769,0.95,0.529412] precision 0.7765942524294926 [0.909091,0.736842,0.909091,0.833333,0.736842,0.857143,0.5,0.869565,0.947368,0.466667] precision 0.8043884220354808 [0.791667,0.8,0.944444,0.809524,1,0.809524,0.647059,0.791667,0.95,0.5] precision 0.8045377519983792 [0.869565,0.714286,0.952381,0.894737,0.8,0.941176,0.55,0.833333,0.944444,0.545455] precision 0.8327389620295799 [1,0.933333,0.909091,0.909091,0.933333,0.894737,0.473684,0.8,0.952381,0.521739] precision 0.8057691040843216 [0.869565,0.772727,0.904762,1,0.875,1,0.4,0.869565,0.9375,0.428571] predictive_accuracy 0.78 predictive_accuracy 0.745 predictive_accuracy 0.765 predictive_accuracy 0.79 predictive_accuracy 0.765 predictive_accuracy 0.785 predictive_accuracy 0.795 predictive_accuracy 0.8 predictive_accuracy 0.825 predictive_accuracy 0.785 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 0.78 [0.95,0.85,0.95,0.75,0.75,0.95,0.35,0.9,0.9,0.45] recall 0.745 [0.95,0.75,0.85,0.8,0.5,0.75,0.4,0.85,0.95,0.65] recall 0.765 [0.95,0.75,0.95,0.65,0.6,0.8,0.55,0.75,1,0.65] recall 0.79 [1,0.65,0.95,0.95,0.8,0.75,0.55,0.8,0.9,0.55] recall 0.765 [1,0.55,0.85,0.95,0.5,0.95,0.5,0.95,0.95,0.45] recall 0.785 [1,0.7,1,0.75,0.7,0.9,0.55,1,0.9,0.35] recall 0.795 [0.95,0.8,0.85,0.85,0.65,0.85,0.55,0.95,0.95,0.55] recall 0.8 [1,0.75,1,0.85,0.6,0.8,0.55,1,0.85,0.6] recall 0.825 [0.95,0.7,1,1,0.7,0.85,0.45,1,1,0.6] recall 0.785 [1,0.85,0.95,0.8,0.7,0.85,0.5,1,0.75,0.45] relative_absolute_error 0.41756332442845123 relative_absolute_error 0.40517466122677936 relative_absolute_error 0.4113934284297936 relative_absolute_error 0.3972163673522408 relative_absolute_error 0.400729972339151 relative_absolute_error 0.3962382842633147 relative_absolute_error 0.4099757029539064 relative_absolute_error 0.4026377609862248 relative_absolute_error 0.39005990781758365 relative_absolute_error 0.41658123162211635 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 0.1773933726641273 root_mean_squared_error 0.178503323019054 root_mean_squared_error 0.17563440741259417 root_mean_squared_error 0.17032608711105254 root_mean_squared_error 0.17182646579373553 root_mean_squared_error 0.17046967116517134 root_mean_squared_error 0.1742339245591929 root_mean_squared_error 0.1714232937861584 root_mean_squared_error 0.16771617841420602 root_mean_squared_error 0.17791787431178566 root_relative_squared_error 0.591311242213758 root_relative_squared_error 0.5950110767301804 root_relative_squared_error 0.5854480247086475 root_relative_squared_error 0.5677536237035088 root_relative_squared_error 0.5727548859791188 root_relative_squared_error 0.5682322372172381 root_relative_squared_error 0.5807797485306434 root_relative_squared_error 0.5714109792871951 root_relative_squared_error 0.5590539280473538 root_relative_squared_error 0.5930595810392859 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 24892.590541999994 usercpu_time_millis 24870.634388999977 usercpu_time_millis 24701.690741999984 usercpu_time_millis 24689.617086 usercpu_time_millis 24763.749157000122 usercpu_time_millis 24452.371587000016 usercpu_time_millis 24526.129856000014 usercpu_time_millis 24379.345877999982 usercpu_time_millis 24270.415866999996 usercpu_time_millis 24368.791386999987 usercpu_time_millis_testing 87.07638699991094 usercpu_time_millis_testing 87.97700699994948 usercpu_time_millis_testing 84.25892699995075 usercpu_time_millis_testing 84.47302900003706 usercpu_time_millis_testing 85.51217500007624 usercpu_time_millis_testing 83.02334100005737 usercpu_time_millis_testing 86.0634680000203 usercpu_time_millis_testing 84.30108200002451 usercpu_time_millis_testing 85.44549700002335 usercpu_time_millis_testing 85.2530619999925 usercpu_time_millis_training 24805.514155000084 usercpu_time_millis_training 24782.657382000027 usercpu_time_millis_training 24617.431815000033 usercpu_time_millis_training 24605.14405699996 usercpu_time_millis_training 24678.236982000046 usercpu_time_millis_training 24369.348245999958 usercpu_time_millis_training 24440.066387999992 usercpu_time_millis_training 24295.04479599996 usercpu_time_millis_training 24184.970369999974 usercpu_time_millis_training 24283.538324999994