8906316 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) 6843800 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 0.36720918950712406 7650 cache_size 200 7650 class_weight null 7650 coef0 0.1777337034070614 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.00028028976046976184 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 5.139665008763591e-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 18728368 description https://api.openml.org/data/download/18728368/description.xml -1 18728369 predictions https://api.openml.org/data/download/18728369/predictions.arff area_under_roc_curve 0.8380555555555556 [0.9425,0.832222,0.931389,0.824722,0.750833,0.904167,0.65,0.84,0.975556,0.729167] average_cost 0 f_measure 0.7084942042171473 [0.938992,0.603239,0.848921,0.768328,0.617211,0.819753,0.4,0.744681,0.875,0.468817] kappa 0.6761111111111111 kb_relative_information_score 1390.3233830031022 mean_absolute_error 0.05830000000000056 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7303241289721 [1,0.506803,0.815668,0.929078,0.759124,0.809756,0.485714,0.795455,0.790323,0.411321] predictive_accuracy 0.7084999999999999 prior_entropy 3.321928094887362 recall 0.7085 [0.885,0.745,0.885,0.655,0.52,0.83,0.34,0.7,0.98,0.545] relative_absolute_error 0.323888888888882 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.24145392935299387 root_relative_squared_error 0.8048464311766339 total_cost 0 area_under_roc_curve 0.8138888888888889 [0.925,0.836111,0.919444,0.85,0.797222,0.969444,0.538889,0.719444,0.980556,0.602778] area_under_roc_curve 0.8416666666666666 [0.95,0.858333,0.936111,0.85,0.7,0.913889,0.675,0.788889,0.958333,0.786111] area_under_roc_curve 0.8277777777777777 [0.9,0.819444,0.872222,0.794444,0.811111,0.841667,0.661111,0.819444,0.986111,0.772222] area_under_roc_curve 0.8361111111111111 [0.9,0.738889,0.963889,0.869444,0.786111,0.861111,0.677778,0.836111,0.955556,0.772222] area_under_roc_curve 0.825 [0.975,0.727778,0.894444,0.769444,0.730556,0.905556,0.658333,0.908333,0.988889,0.691667] area_under_roc_curve 0.8472222222222223 [0.975,0.855556,0.994444,0.844444,0.666667,0.930556,0.611111,0.888889,0.991667,0.713889] area_under_roc_curve 0.8666666666666666 [0.975,0.844444,0.936111,0.922222,0.741667,0.841667,0.736111,0.916667,0.988889,0.763889] area_under_roc_curve 0.8777777777777779 [0.975,0.894444,0.919444,0.872222,0.744444,0.916667,0.755556,0.891667,0.991667,0.816667] area_under_roc_curve 0.8305555555555556 [0.9,0.858333,0.969444,0.725,0.711111,0.911111,0.588889,0.841667,0.986111,0.813889] area_under_roc_curve 0.8138888888888887 [0.95,0.888889,0.908333,0.75,0.819444,0.95,0.597222,0.788889,0.927778,0.558333] 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 0.6620934526945322 [0.918919,0.612245,0.734694,0.823529,0.727273,0.926829,0.166667,0.580645,0.851064,0.27907] f_measure 0.7132990012551821 [0.947368,0.627451,0.837209,0.823529,0.571429,0.829268,0.432432,0.666667,0.844444,0.553191] f_measure 0.6983772435436522 [0.888889,0.545455,0.833333,0.705882,0.684211,0.756757,0.4375,0.742857,0.888889,0.5] f_measure 0.704197796892438 [0.888889,0.5,0.883721,0.810811,0.648649,0.75,0.444444,0.717949,0.826087,0.571429] f_measure 0.6817787448780522 [0.974359,0.458333,0.842105,0.666667,0.540541,0.772727,0.424242,0.790698,0.909091,0.439024] f_measure 0.7115251157111622 [0.974359,0.615385,0.952381,0.777778,0.466667,0.8,0.333333,0.8,0.930233,0.465116] f_measure 0.7585149208503473 [0.974359,0.652174,0.837209,0.894737,0.606061,0.756757,0.571429,0.85,0.909091,0.533333] f_measure 0.7801208912067833 [0.974359,0.708333,0.871795,0.833333,0.625,0.85,0.578947,0.820513,0.930233,0.608696] f_measure 0.6860470087809449 [0.888889,0.627451,0.926829,0.62069,0.529412,0.809524,0.285714,0.756757,0.888889,0.526316] f_measure 0.6714029606733866 [0.947368,0.68,0.790698,0.666667,0.742857,0.947368,0.285714,0.666667,0.782609,0.204082] kappa 0.6277777777777779 kappa 0.6833333333333333 kappa 0.6555555555555556 kappa 0.6722222222222222 kappa 0.65 kappa 0.6944444444444444 kappa 0.7333333333333334 kappa 0.7555555555555555 kappa 0.6611111111111111 kappa 0.6277777777777779 kb_relative_information_score 129.93424813243507 kb_relative_information_score 140.39182303804182 kb_relative_information_score 135.16303558523842 kb_relative_information_score 138.30030805692047 kb_relative_information_score 134.11727809467777 kb_relative_information_score 142.48333801916317 kb_relative_information_score 149.8036404530879 kb_relative_information_score 153.98667041533062 kb_relative_information_score 136.20879307579912 kb_relative_information_score 129.93424813243507 mean_absolute_error 0.06699999999999992 mean_absolute_error 0.05699999999999996 mean_absolute_error 0.06199999999999994 mean_absolute_error 0.05899999999999995 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.06699999999999992 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 0.6973061986461536 [1,0.517241,0.62069,1,0.923077,0.904762,0.1875,0.818182,0.740741,0.26087] precision 0.7570331254209646 [1,0.516129,0.782609,1,1,0.809524,0.470588,0.75,0.76,0.481481] precision 0.7425215919701214 [1,0.428571,0.9375,0.857143,0.722222,0.823529,0.583333,0.866667,0.8,0.40625] precision 0.7135721465459653 [1,0.458333,0.826087,0.882353,0.705882,0.75,0.5,0.736842,0.730769,0.545455] precision 0.6963965240499768 [1,0.392857,0.888889,0.846154,0.588235,0.708333,0.538462,0.73913,0.833333,0.428571] precision 0.7308438735177866 [1,0.5,0.909091,0.875,0.7,0.72,0.5,0.8,0.869565,0.434783] precision 0.7726736398015168 [1,0.576923,0.782609,0.944444,0.769231,0.823529,0.666667,0.85,0.833333,0.48] precision 0.7983956162703304 [1,0.607143,0.894737,0.9375,0.833333,0.85,0.611111,0.842105,0.869565,0.538462] precision 0.7365410169774497 [1,0.516129,0.904762,1,0.642857,0.772727,0.5,0.823529,0.8,0.405405] precision 0.7120518586860416 [1,0.566667,0.73913,1,0.866667,1,0.333333,0.75,0.692308,0.172414] predictive_accuracy 0.665 predictive_accuracy 0.715 predictive_accuracy 0.69 predictive_accuracy 0.705 predictive_accuracy 0.685 predictive_accuracy 0.725 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.695 predictive_accuracy 0.665 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 0.665 [0.85,0.75,0.9,0.7,0.6,0.95,0.15,0.45,1,0.3] recall 0.715 [0.9,0.8,0.9,0.7,0.4,0.85,0.4,0.6,0.95,0.65] recall 0.69 [0.8,0.75,0.75,0.6,0.65,0.7,0.35,0.65,1,0.65] recall 0.705 [0.8,0.55,0.95,0.75,0.6,0.75,0.4,0.7,0.95,0.6] recall 0.685 [0.95,0.55,0.8,0.55,0.5,0.85,0.35,0.85,1,0.45] recall 0.725 [0.95,0.8,1,0.7,0.35,0.9,0.25,0.8,1,0.5] recall 0.76 [0.95,0.75,0.9,0.85,0.5,0.7,0.5,0.85,1,0.6] recall 0.78 [0.95,0.85,0.85,0.75,0.5,0.85,0.55,0.8,1,0.7] recall 0.695 [0.8,0.8,0.95,0.45,0.45,0.85,0.2,0.7,1,0.75] recall 0.665 [0.9,0.85,0.85,0.5,0.65,0.9,0.25,0.6,0.9,0.25] relative_absolute_error 0.37222222222222223 relative_absolute_error 0.31666666666666676 relative_absolute_error 0.3444444444444445 relative_absolute_error 0.32777777777777783 relative_absolute_error 0.35 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.3388888888888889 relative_absolute_error 0.37222222222222223 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 0.25884358211089553 root_mean_squared_error 0.23874672772626634 root_mean_squared_error 0.2489979919597745 root_mean_squared_error 0.2428991560298223 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.21908902300206642 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.24698178070456928 root_mean_squared_error 0.25884358211089553 root_relative_squared_error 0.8628119403696521 root_relative_squared_error 0.7958224257542216 root_relative_squared_error 0.8299933065325821 root_relative_squared_error 0.8096638534327415 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.8628119403696521 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 3607.3359940000955 usercpu_time_millis 3611.6599170009067 usercpu_time_millis 3617.638798000371 usercpu_time_millis 3514.26955199895 usercpu_time_millis 3298.1126069998936 usercpu_time_millis 3139.0018560005046 usercpu_time_millis 3014.5673939996414 usercpu_time_millis 3120.603284999561 usercpu_time_millis 3326.042437000069 usercpu_time_millis 3182.7656919995206 usercpu_time_millis_testing 54.794128999674285 usercpu_time_millis_testing 53.553778000605234 usercpu_time_millis_testing 53.65242100015166 usercpu_time_millis_testing 54.26041299961071 usercpu_time_millis_testing 45.467672999620845 usercpu_time_millis_testing 46.64301800039539 usercpu_time_millis_testing 46.13992699978553 usercpu_time_millis_testing 47.018248999847856 usercpu_time_millis_testing 59.24745799984521 usercpu_time_millis_testing 54.19248699945456 usercpu_time_millis_training 3552.5418650004212 usercpu_time_millis_training 3558.1061390003015 usercpu_time_millis_training 3563.9863770002194 usercpu_time_millis_training 3460.0091389993395 usercpu_time_millis_training 3252.6449340002728 usercpu_time_millis_training 3092.3588380001092 usercpu_time_millis_training 2968.427466999856 usercpu_time_millis_training 3073.585035999713 usercpu_time_millis_training 3266.794979000224 usercpu_time_millis_training 3128.573205000066