8912775 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) 6849959 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 0.7726413691329292 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 8 7684 min_samples_split 8 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 18741216 description https://api.openml.org/data/download/18741216/description.xml -1 18741217 predictions https://api.openml.org/data/download/18741217/predictions.arff area_under_roc_curve 0.9812388888888889 [0.999867,0.972428,0.994525,0.988253,0.97765,0.990639,0.9472,0.991503,0.998275,0.95205] average_cost 0 f_measure 0.8081408238115956 [0.975124,0.74813,0.927681,0.872063,0.774359,0.878412,0.530612,0.87703,0.939394,0.558603] kappa 0.7877777777777778 kb_relative_information_score 1572.7045416612912 mean_absolute_error 0.061745340902463836 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8087207158163428 [0.970297,0.746269,0.925373,0.912568,0.794737,0.871921,0.541667,0.818182,0.94898,0.557214] predictive_accuracy 0.809 prior_entropy 3.321928094887362 recall 0.809 [0.98,0.75,0.93,0.835,0.755,0.885,0.52,0.945,0.93,0.56] relative_absolute_error 0.34302967168034404 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16118674002080374 root_relative_squared_error 0.5372891334026709 total_cost 0 area_under_roc_curve 0.9796666666666667 [1,0.975,0.992222,0.995556,0.965556,1,0.926944,0.993611,0.997222,0.950556] area_under_roc_curve 0.9814166666666666 [1,0.981944,0.992222,0.985,0.968889,0.986111,0.956667,0.992222,0.998611,0.9525] area_under_roc_curve 0.9772777777777779 [1,0.973611,0.998611,0.975278,0.98,0.991944,0.917778,0.9875,1,0.948056] area_under_roc_curve 0.9863055555555555 [0.999167,0.971667,0.994722,0.995278,0.988333,0.993611,0.974722,0.9975,0.999444,0.948611] area_under_roc_curve 0.9823333333333334 [1,0.968056,0.9975,0.995,0.988611,0.9925,0.958333,0.989444,0.999444,0.934444] area_under_roc_curve 0.9825 [1,0.966389,0.999444,0.9875,0.988611,0.985556,0.9475,0.9925,0.999444,0.958056] area_under_roc_curve 0.9854722222222223 [1,0.979444,0.991944,0.9975,0.990278,0.985833,0.975833,0.988056,1,0.945833] area_under_roc_curve 0.9840277777777777 [0.999722,0.971389,0.998889,0.983889,0.973333,0.994444,0.956944,0.993889,0.991389,0.976389] area_under_roc_curve 0.9818333333333333 [1,0.973056,0.999444,0.9975,0.983333,0.976667,0.940278,0.994167,1,0.953889] area_under_roc_curve 0.9766944444444445 [1,0.97,0.988056,0.98,0.964722,0.9975,0.920278,0.993611,0.996389,0.956389] 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 0.7994510484754386 [1,0.755556,0.9,0.888889,0.809524,0.974359,0.378378,0.9,0.9,0.487805] f_measure 0.8136725946610416 [1,0.871795,0.894737,0.842105,0.702703,0.857143,0.555556,0.863636,0.926829,0.622222] f_measure 0.8010121409275065 [1,0.714286,0.947368,0.8,0.772727,0.85,0.473684,0.871795,0.97561,0.604651] f_measure 0.825813589887143 [0.95,0.789474,0.95,0.926829,0.765957,0.864865,0.619048,0.85,0.947368,0.594595] f_measure 0.7689602978466907 [0.97561,0.631579,0.947368,0.904762,0.685714,0.829268,0.486486,0.791667,0.97561,0.461538] f_measure 0.8217467265968625 [1,0.711111,0.95,0.789474,0.777778,0.883721,0.631579,0.952381,0.926829,0.594595] f_measure 0.834012595591543 [0.974359,0.769231,0.9,0.923077,0.888889,0.844444,0.631579,0.844444,1,0.564103] f_measure 0.8146903652230995 [0.95,0.731707,0.97561,0.842105,0.702703,0.842105,0.619048,0.888889,0.894737,0.7] f_measure 0.8368243409706824 [0.95,0.787879,0.952381,0.926829,0.85,0.9,0.514286,0.909091,1,0.577778] f_measure 0.762345833965126 [0.952381,0.731707,0.863636,0.857143,0.777778,0.947368,0.408163,0.909091,0.833333,0.342857] kappa 0.7777777777777778 kappa 0.7944444444444444 kappa 0.7777777777777778 kappa 0.8055555555555555 kappa 0.75 kappa 0.8055555555555555 kappa 0.8166666666666667 kappa 0.7944444444444444 kappa 0.8222222222222222 kappa 0.7333333333333334 kb_relative_information_score 157.94122275784656 kb_relative_information_score 155.45126085395907 kb_relative_information_score 154.0322489946702 kb_relative_information_score 158.59097170678868 kb_relative_information_score 156.55308533249266 kb_relative_information_score 159.16880341083348 kb_relative_information_score 158.82857289671472 kb_relative_information_score 156.77285988093683 kb_relative_information_score 160.9003792339792 kb_relative_information_score 154.465136593071 mean_absolute_error 0.061244975089773765 mean_absolute_error 0.06344357743141582 mean_absolute_error 0.06522649901929206 mean_absolute_error 0.06044059529704386 mean_absolute_error 0.06213428539646191 mean_absolute_error 0.059875919700671174 mean_absolute_error 0.060637130473843455 mean_absolute_error 0.062222899499926314 mean_absolute_error 0.058241116041976675 mean_absolute_error 0.0639864110742338 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 0.8040682454800101 [1,0.68,0.9,1,0.772727,1,0.411765,0.9,0.9,0.47619] precision 0.8192386447401927 [1,0.894737,0.944444,0.888889,0.764706,0.818182,0.625,0.791667,0.904762,0.56] precision 0.8085820034275412 [1,0.681818,1,0.933333,0.708333,0.85,0.5,0.894737,0.952381,0.565217] precision 0.8333906289788642 [0.95,0.833333,0.95,0.904762,0.666667,0.941176,0.590909,0.85,1,0.647059] precision 0.7726256148392372 [0.952381,0.666667,1,0.863636,0.8,0.809524,0.529412,0.678571,0.952381,0.473684] precision 0.8251998593903964 [1,0.64,0.95,0.833333,0.875,0.826087,0.666667,0.909091,0.904762,0.647059] precision 0.8402456140350876 [1,0.789474,0.9,0.947368,1,0.76,0.666667,0.76,1,0.578947] precision 0.8194503862150921 [0.95,0.714286,0.952381,0.888889,0.764706,0.888889,0.590909,0.8,0.944444,0.7] precision 0.8467186147186148 [0.95,1,0.909091,0.904762,0.85,0.9,0.6,0.833333,1,0.52] precision 0.780570420958352 [0.909091,0.714286,0.791667,1,0.875,1,0.344828,0.833333,0.9375,0.4] predictive_accuracy 0.8 predictive_accuracy 0.815 predictive_accuracy 0.8 predictive_accuracy 0.825 predictive_accuracy 0.775 predictive_accuracy 0.825 predictive_accuracy 0.835 predictive_accuracy 0.815 predictive_accuracy 0.84 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 0.8 [1,0.85,0.9,0.8,0.85,0.95,0.35,0.9,0.9,0.5] recall 0.815 [1,0.85,0.85,0.8,0.65,0.9,0.5,0.95,0.95,0.7] recall 0.8 [1,0.75,0.9,0.7,0.85,0.85,0.45,0.85,1,0.65] recall 0.825 [0.95,0.75,0.95,0.95,0.9,0.8,0.65,0.85,0.9,0.55] recall 0.775 [1,0.6,0.9,0.95,0.6,0.85,0.45,0.95,1,0.45] recall 0.825 [1,0.8,0.95,0.75,0.7,0.95,0.6,1,0.95,0.55] recall 0.835 [0.95,0.75,0.9,0.9,0.8,0.95,0.6,0.95,1,0.55] recall 0.815 [0.95,0.75,1,0.8,0.65,0.8,0.65,1,0.85,0.7] recall 0.84 [0.95,0.65,1,0.95,0.85,0.9,0.45,1,1,0.65] recall 0.76 [1,0.75,0.95,0.75,0.7,0.9,0.5,1,0.75,0.3] relative_absolute_error 0.34024986160985465 relative_absolute_error 0.3524643190634217 relative_absolute_error 0.36236943899606744 relative_absolute_error 0.33578108498357734 relative_absolute_error 0.3451904744247888 relative_absolute_error 0.33264399833706243 relative_absolute_error 0.33687294707690846 relative_absolute_error 0.345682774999591 relative_absolute_error 0.3235617557887596 relative_absolute_error 0.3554800615235216 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 0.16168680495947532 root_mean_squared_error 0.1671371533244253 root_mean_squared_error 0.16790385636409563 root_mean_squared_error 0.15660347460000645 root_mean_squared_error 0.16328016156359754 root_mean_squared_error 0.15549777135727907 root_mean_squared_error 0.15703641799293694 root_mean_squared_error 0.16119822267208692 root_mean_squared_error 0.1530716999501637 root_mean_squared_error 0.1676354093727686 root_relative_squared_error 0.5389560165315848 root_relative_squared_error 0.5571238444147513 root_relative_squared_error 0.5596795212136524 root_relative_squared_error 0.5220115820000218 root_relative_squared_error 0.5442672052119921 root_relative_squared_error 0.5183259045242639 root_relative_squared_error 0.5234547266431234 root_relative_squared_error 0.5373274089069566 root_relative_squared_error 0.5102389998338793 root_relative_squared_error 0.558784697909229 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 140362.8250590009 usercpu_time_millis 140676.68029499962 usercpu_time_millis 140138.52856999985 usercpu_time_millis 141152.73367400008 usercpu_time_millis 140183.83215900214 usercpu_time_millis 140861.21310099954 usercpu_time_millis 141380.02557399886 usercpu_time_millis 140532.62121899935 usercpu_time_millis 140973.47836599874 usercpu_time_millis 139637.59729100275 usercpu_time_millis_testing 87.12744800050132 usercpu_time_millis_testing 87.98685900001146 usercpu_time_millis_testing 88.44566399966425 usercpu_time_millis_testing 88.1215079989488 usercpu_time_millis_testing 85.89448100065056 usercpu_time_millis_testing 85.56525799940573 usercpu_time_millis_testing 88.15522899931238 usercpu_time_millis_testing 88.5789769999974 usercpu_time_millis_testing 86.31036999940989 usercpu_time_millis_testing 86.01301900125691 usercpu_time_millis_training 140275.6976110004 usercpu_time_millis_training 140588.69343599962 usercpu_time_millis_training 140050.08290600017 usercpu_time_millis_training 141064.6121660011 usercpu_time_millis_training 140097.93767800147 usercpu_time_millis_training 140775.64784300013 usercpu_time_millis_training 141291.87034499954 usercpu_time_millis_training 140444.04224199936 usercpu_time_millis_training 140887.16799599933 usercpu_time_millis_training 139551.5842720015