8905765 1935 Hilde Weerts 14 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6843317 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 copy true 7646 with_mean false 7646 with_std true 7646 C 0.1177772094934959 7650 cache_size 200 7650 class_weight null 7650 coef0 0.09570661511230627 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.00010072567346533871 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 2.414495834273023e-05 7650 verbose false 7650 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 memory null 8317 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18727274 description https://api.openml.org/data/download/18727274/description.xml -1 18727275 predictions https://api.openml.org/data/download/18727275/predictions.arff area_under_roc_curve 0.8308333333333334 [0.929722,0.827778,0.928889,0.821944,0.731111,0.895,0.647222,0.840278,0.972222,0.714167] average_cost 0 f_measure 0.6948897444431013 [0.922252,0.592,0.830986,0.762463,0.585366,0.81407,0.394118,0.746667,0.852174,0.448802] kappa 0.6616666666666667 kb_relative_information_score 1363.1336882485268 mean_absolute_error 0.06090000000000059 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7191007441106124 [0.99422,0.493333,0.783186,0.921986,0.75,0.818182,0.478571,0.8,0.753846,0.397683] predictive_accuracy 0.6955 prior_entropy 3.321928094887362 recall 0.6955 [0.86,0.74,0.885,0.65,0.48,0.81,0.335,0.7,0.98,0.515] relative_absolute_error 0.33833333333332616 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.24677925358506253 root_relative_squared_error 0.8225975119501959 total_cost 0 area_under_roc_curve 0.8111111111111111 [0.9,0.838889,0.916667,0.85,0.797222,0.969444,0.538889,0.719444,0.975,0.605556] area_under_roc_curve 0.838888888888889 [0.95,0.855556,0.936111,0.85,0.7,0.891667,0.675,0.788889,0.955556,0.786111] area_under_roc_curve 0.8222222222222223 [0.9,0.819444,0.869444,0.794444,0.811111,0.841667,0.658333,0.819444,0.986111,0.722222] area_under_roc_curve 0.825 [0.875,0.758333,0.958333,0.869444,0.736111,0.861111,0.677778,0.838889,0.952778,0.722222] area_under_roc_curve 0.8166666666666668 [0.972222,0.725,0.891667,0.769444,0.683333,0.883333,0.658333,0.908333,0.986111,0.688889] area_under_roc_curve 0.838888888888889 [0.975,0.833333,0.991667,0.844444,0.641667,0.927778,0.611111,0.888889,0.988889,0.686111] area_under_roc_curve 0.8555555555555554 [0.975,0.813889,0.933333,0.922222,0.744444,0.791667,0.736111,0.916667,0.983333,0.738889] area_under_roc_curve 0.8722222222222221 [0.975,0.891667,0.919444,0.872222,0.719444,0.919444,0.730556,0.891667,0.988889,0.813889] area_under_roc_curve 0.825 [0.9,0.85,0.966667,0.7,0.686111,0.913889,0.588889,0.841667,0.986111,0.816667] area_under_roc_curve 0.8027777777777777 [0.875,0.891667,0.905556,0.747222,0.791667,0.95,0.597222,0.788889,0.919444,0.561111] 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 0.6560872940502525 [0.888889,0.625,0.72,0.823529,0.727273,0.926829,0.166667,0.580645,0.816327,0.285714] f_measure 0.7093810687451466 [0.947368,0.615385,0.837209,0.823529,0.571429,0.820513,0.432432,0.666667,0.826087,0.553191] f_measure 0.6887992337156424 [0.888889,0.545455,0.810811,0.705882,0.684211,0.756757,0.424242,0.742857,0.888889,0.44] f_measure 0.6834262169704499 [0.857143,0.510638,0.844444,0.810811,0.571429,0.75,0.444444,0.736842,0.808511,0.5] f_measure 0.6651052492336449 [0.95,0.44898,0.820513,0.666667,0.470588,0.761905,0.424242,0.790698,0.888889,0.428571] f_measure 0.693980000296377 [0.974359,0.6,0.930233,0.777778,0.413793,0.782609,0.333333,0.8,0.909091,0.418605] f_measure 0.7384730390031281 [0.974359,0.595745,0.818182,0.894737,0.625,0.685714,0.571429,0.85,0.869565,0.5] f_measure 0.7691693714588116 [0.974359,0.693878,0.871795,0.833333,0.580645,0.871795,0.540541,0.820513,0.909091,0.595745] f_measure 0.6738862952277587 [0.888889,0.592593,0.904762,0.571429,0.484848,0.829268,0.285714,0.756757,0.888889,0.535714] f_measure 0.6497399841245342 [0.857143,0.693878,0.772727,0.645161,0.685714,0.947368,0.285714,0.666667,0.734694,0.208333] kappa 0.6222222222222222 kappa 0.6777777777777777 kappa 0.6444444444444445 kappa 0.65 kappa 0.6333333333333334 kappa 0.6777777777777777 kappa 0.7111111111111111 kappa 0.7444444444444445 kappa 0.65 kappa 0.6055555555555556 kb_relative_information_score 128.88849064187437 kb_relative_information_score 139.34606554748115 kb_relative_information_score 133.0715206041171 kb_relative_information_score 134.11727809467777 kb_relative_information_score 130.98000562299575 kb_relative_information_score 139.34606554748115 kb_relative_information_score 145.62061049084522 kb_relative_information_score 151.89515543420927 kb_relative_information_score 134.11727809467777 kb_relative_information_score 125.75121817019237 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.06399999999999993 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06599999999999992 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.05199999999999998 mean_absolute_error 0.046 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.07099999999999991 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 0.6931617376875998 [1,0.535714,0.6,1,0.923077,0.904762,0.1875,0.818182,0.689655,0.272727] precision 0.7557552906354897 [1,0.5,0.782609,1,1,0.842105,0.470588,0.75,0.730769,0.481481] precision 0.7285613732672558 [1,0.428571,0.882353,0.857143,0.722222,0.823529,0.538462,0.866667,0.8,0.366667] precision 0.6984945533769062 [1,0.444444,0.76,0.882353,0.666667,0.75,0.5,0.777778,0.703704,0.5] precision 0.6802953635175681 [0.95,0.37931,0.842105,0.846154,0.571429,0.727273,0.538462,0.73913,0.8,0.409091] precision 0.7128177257525085 [1,0.5,0.869565,0.875,0.666667,0.692308,0.5,0.8,0.833333,0.391304] precision 0.7590527065527064 [1,0.518519,0.75,0.944444,0.833333,0.8,0.666667,0.85,0.769231,0.458333] precision 0.7913554808071462 [1,0.586207,0.894737,0.9375,0.818182,0.894737,0.588235,0.842105,0.833333,0.518519] precision 0.7299329102270279 [1,0.470588,0.863636,1,0.615385,0.809524,0.5,0.823529,0.8,0.416667] precision 0.6886225556053143 [1,0.586207,0.708333,0.909091,0.8,1,0.333333,0.75,0.62069,0.178571] predictive_accuracy 0.66 predictive_accuracy 0.71 predictive_accuracy 0.68 predictive_accuracy 0.685 predictive_accuracy 0.67 predictive_accuracy 0.71 predictive_accuracy 0.74 predictive_accuracy 0.77 predictive_accuracy 0.685 predictive_accuracy 0.645 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 0.66 [0.8,0.75,0.9,0.7,0.6,0.95,0.15,0.45,1,0.3] recall 0.71 [0.9,0.8,0.9,0.7,0.4,0.8,0.4,0.6,0.95,0.65] recall 0.68 [0.8,0.75,0.75,0.6,0.65,0.7,0.35,0.65,1,0.55] recall 0.685 [0.75,0.6,0.95,0.75,0.5,0.75,0.4,0.7,0.95,0.5] recall 0.67 [0.95,0.55,0.8,0.55,0.4,0.8,0.35,0.85,1,0.45] recall 0.71 [0.95,0.75,1,0.7,0.3,0.9,0.25,0.8,1,0.45] recall 0.74 [0.95,0.7,0.9,0.85,0.5,0.6,0.5,0.85,1,0.55] recall 0.77 [0.95,0.85,0.85,0.75,0.45,0.85,0.5,0.8,1,0.7] recall 0.685 [0.8,0.8,0.95,0.4,0.4,0.85,0.2,0.7,1,0.75] recall 0.645 [0.75,0.85,0.85,0.5,0.6,0.9,0.25,0.6,0.9,0.25] relative_absolute_error 0.3777777777777777 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.35555555555555557 relative_absolute_error 0.35 relative_absolute_error 0.36666666666666664 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.2888888888888891 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.35 relative_absolute_error 0.3944444444444444 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 0.2607680962081058 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.2529822128134702 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.25690465157330244 root_mean_squared_error 0.2408318915758458 root_mean_squared_error 0.22803508501982755 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.2664582518894844 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.8432740427115679 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8563488385776753 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.7601169500660923 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8881941729649485 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 3421.5383539999493 usercpu_time_millis 2728.704364000123 usercpu_time_millis 3480.34791200007 usercpu_time_millis 3541.634975999841 usercpu_time_millis 3509.0321489999496 usercpu_time_millis 3511.9212669999342 usercpu_time_millis 3519.615230000227 usercpu_time_millis 3486.239636000164 usercpu_time_millis 3479.2113989999507 usercpu_time_millis 3380.5438859999413 usercpu_time_millis_testing 44.96386899995741 usercpu_time_millis_testing 45.62514799999917 usercpu_time_millis_testing 51.78745700004583 usercpu_time_millis_testing 51.193463999879896 usercpu_time_millis_testing 52.09100399997624 usercpu_time_millis_testing 51.84400000007372 usercpu_time_millis_testing 51.49420500015367 usercpu_time_millis_testing 51.925350000146864 usercpu_time_millis_testing 51.53921700002684 usercpu_time_millis_testing 44.59319700004016 usercpu_time_millis_training 3376.574484999992 usercpu_time_millis_training 2683.079216000124 usercpu_time_millis_training 3428.5604550000244 usercpu_time_millis_training 3490.441511999961 usercpu_time_millis_training 3456.9411449999734 usercpu_time_millis_training 3460.0772669998605 usercpu_time_millis_training 3468.121025000073 usercpu_time_millis_training 3434.314286000017 usercpu_time_millis_training 3427.672181999924 usercpu_time_millis_training 3335.950688999901