8906633 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) 6844080 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 0.22570971546367835 7650 cache_size 200 7650 class_weight null 7650 coef0 0.14262702122190707 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.00018087572024256518 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 3.719701457464538e-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 18728998 description https://api.openml.org/data/download/18728998/description.xml -1 18728999 predictions https://api.openml.org/data/download/18728999/predictions.arff area_under_roc_curve 0.8325 [0.93,0.828611,0.928889,0.822222,0.742778,0.8975,0.647222,0.84,0.973056,0.714722] average_cost 0 f_measure 0.6981561918963897 [0.924731,0.595573,0.830986,0.764706,0.60119,0.817043,0.394118,0.744681,0.857768,0.450766] kappa 0.665 kb_relative_information_score 1369.4082331918908 mean_absolute_error 0.06030000000000059 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7209266402345947 [1,0.498316,0.783186,0.928571,0.742647,0.819095,0.478571,0.795455,0.762646,0.400778] predictive_accuracy 0.6984999999999999 prior_entropy 3.321928094887362 recall 0.6985 [0.86,0.74,0.885,0.65,0.505,0.815,0.335,0.7,0.98,0.515] relative_absolute_error 0.33499999999999297 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2455605831561747 root_relative_squared_error 0.8185352771872364 total_cost 0 area_under_roc_curve 0.811111111111111 [0.9,0.836111,0.916667,0.85,0.797222,0.969444,0.538889,0.719444,0.977778,0.605556] area_under_roc_curve 0.8388888888888889 [0.95,0.858333,0.936111,0.85,0.7,0.888889,0.675,0.788889,0.955556,0.786111] area_under_roc_curve 0.8250000000000002 [0.9,0.819444,0.869444,0.794444,0.836111,0.844444,0.658333,0.819444,0.986111,0.722222] area_under_roc_curve 0.8222222222222222 [0.875,0.733333,0.958333,0.869444,0.736111,0.861111,0.677778,0.836111,0.952778,0.722222] area_under_roc_curve 0.8222222222222224 [0.975,0.730556,0.891667,0.769444,0.727778,0.883333,0.658333,0.908333,0.986111,0.691667] area_under_roc_curve 0.8444444444444444 [0.975,0.858333,0.991667,0.844444,0.666667,0.927778,0.611111,0.888889,0.991667,0.688889] area_under_roc_curve 0.8583333333333333 [0.975,0.816667,0.933333,0.922222,0.741667,0.816667,0.736111,0.916667,0.986111,0.738889] 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 0.8055555555555556 [0.875,0.891667,0.905556,0.75,0.816667,0.95,0.597222,0.788889,0.919444,0.561111] 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 0.6565124641182797 [0.888889,0.612245,0.72,0.823529,0.727273,0.926829,0.166667,0.580645,0.833333,0.285714] f_measure 0.7085364231946187 [0.947368,0.627451,0.837209,0.823529,0.571429,0.8,0.432432,0.666667,0.826087,0.553191] f_measure 0.6942751549810374 [0.888889,0.545455,0.810811,0.705882,0.717949,0.777778,0.424242,0.742857,0.888889,0.44] f_measure 0.6782991354082936 [0.857143,0.478261,0.844444,0.810811,0.571429,0.75,0.444444,0.717949,0.808511,0.5] f_measure 0.6760697497093706 [0.974359,0.468085,0.820513,0.666667,0.526316,0.761905,0.424242,0.790698,0.888889,0.439024] f_measure 0.7051232973031581 [0.974359,0.627451,0.930233,0.777778,0.466667,0.782609,0.333333,0.8,0.930233,0.428571] f_measure 0.7434573575420258 [0.974359,0.608696,0.818182,0.894737,0.606061,0.722222,0.571429,0.85,0.888889,0.5] 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 0.6555413154097363 [0.857143,0.693878,0.772727,0.666667,0.722222,0.947368,0.285714,0.666667,0.734694,0.208333] kappa 0.6222222222222222 kappa 0.6777777777777777 kappa 0.65 kappa 0.6444444444444445 kappa 0.6444444444444445 kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7444444444444445 kappa 0.65 kappa 0.6111111111111112 kb_relative_information_score 128.88849064187437 kb_relative_information_score 139.34606554748115 kb_relative_information_score 134.11727809467777 kb_relative_information_score 133.0715206041171 kb_relative_information_score 133.0715206041171 kb_relative_information_score 141.4375805286025 kb_relative_information_score 146.66636798140587 kb_relative_information_score 151.89515543420927 kb_relative_information_score 134.11727809467777 kb_relative_information_score 126.79697566075303 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.057999999999999954 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06399999999999993 mean_absolute_error 0.06399999999999993 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.046 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06999999999999991 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 0.6937775012343979 [1,0.517241,0.6,1,0.923077,0.904762,0.1875,0.818182,0.714286,0.272727] precision 0.7531576675455068 [1,0.516129,0.782609,1,1,0.8,0.470588,0.75,0.730769,0.481481] precision 0.7351704203948788 [1,0.428571,0.882353,0.857143,0.736842,0.875,0.538462,0.866667,0.8,0.366667] precision 0.6922642339886922 [1,0.423077,0.76,0.882353,0.666667,0.75,0.5,0.736842,0.703704,0.5] precision 0.6884658201363009 [1,0.407407,0.842105,0.846154,0.555556,0.727273,0.538462,0.73913,0.8,0.428571] precision 0.7231658068439275 [1,0.516129,0.869565,0.875,0.7,0.692308,0.5,0.8,0.869565,0.409091] precision 0.7589636752136751 [1,0.538462,0.75,0.944444,0.769231,0.8125,0.666667,0.85,0.8,0.458333] 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 0.6989634646962234 [1,0.586207,0.708333,1,0.8125,1,0.333333,0.75,0.62069,0.178571] predictive_accuracy 0.66 predictive_accuracy 0.71 predictive_accuracy 0.685 predictive_accuracy 0.68 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.77 predictive_accuracy 0.685 predictive_accuracy 0.65 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 0.685 [0.8,0.75,0.75,0.6,0.7,0.7,0.35,0.65,1,0.55] recall 0.68 [0.75,0.55,0.95,0.75,0.5,0.75,0.4,0.7,0.95,0.5] recall 0.68 [0.95,0.55,0.8,0.55,0.5,0.8,0.35,0.85,1,0.45] recall 0.72 [0.95,0.8,1,0.7,0.35,0.9,0.25,0.8,1,0.45] recall 0.745 [0.95,0.7,0.9,0.85,0.5,0.65,0.5,0.85,1,0.55] 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 0.65 [0.75,0.85,0.85,0.5,0.65,0.9,0.25,0.6,0.9,0.25] relative_absolute_error 0.3777777777777777 relative_absolute_error 0.32222222222222235 relative_absolute_error 0.35 relative_absolute_error 0.35555555555555557 relative_absolute_error 0.35555555555555557 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.2555555555555558 relative_absolute_error 0.35 relative_absolute_error 0.38888888888888884 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 0.25099800796022254 root_mean_squared_error 0.2529822128134702 root_mean_squared_error 0.2529822128134702 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.26457513110645886 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8027729719194865 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8432740427115679 root_relative_squared_error 0.8432740427115679 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8819171036881969 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 3079.572024999834 usercpu_time_millis 3799.206600000616 usercpu_time_millis 3768.1705370005147 usercpu_time_millis 3808.315537999988 usercpu_time_millis 3794.3811240002105 usercpu_time_millis 3830.329469999924 usercpu_time_millis 3799.8374839999087 usercpu_time_millis 3888.933800000814 usercpu_time_millis 3628.288786999292 usercpu_time_millis 3840.8658640000795 usercpu_time_millis_testing 56.87108500023896 usercpu_time_millis_testing 55.06630000036239 usercpu_time_millis_testing 52.012566000485094 usercpu_time_millis_testing 54.14811799982999 usercpu_time_millis_testing 54.07792999994854 usercpu_time_millis_testing 54.5326669998758 usercpu_time_millis_testing 55.21647200021107 usercpu_time_millis_testing 51.83078400023078 usercpu_time_millis_testing 49.939304999497836 usercpu_time_millis_testing 54.33840000023338 usercpu_time_millis_training 3022.700939999595 usercpu_time_millis_training 3744.140300000254 usercpu_time_millis_training 3716.1579710000296 usercpu_time_millis_training 3754.167420000158 usercpu_time_millis_training 3740.303194000262 usercpu_time_millis_training 3775.7968030000484 usercpu_time_millis_training 3744.6210119996977 usercpu_time_millis_training 3837.103016000583 usercpu_time_millis_training 3578.349481999794 usercpu_time_millis_training 3786.527463999846