8905840 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) 6843383 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 1.6466750649068582 7650 cache_size 200 7650 class_weight null 7650 coef0 0.2859777949512591 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.001081763101562465 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.00013928719091430204 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 18727422 description https://api.openml.org/data/download/18727422/description.xml -1 18727423 predictions https://api.openml.org/data/download/18727423/predictions.arff area_under_roc_curve 0.8955555555555557 [0.9925,0.864444,0.964722,0.912778,0.858889,0.952222,0.688889,0.96,0.985833,0.775278] average_cost 0 f_measure 0.8102769937494622 [0.992443,0.732057,0.942065,0.869792,0.777778,0.910448,0.474286,0.870968,0.972569,0.560364] kappa 0.7911111111111112 kb_relative_information_score 1606.795183549141 mean_absolute_error 0.037600000000000265 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8136284673627737 [1,0.701835,0.949239,0.907609,0.825843,0.905941,0.553333,0.807692,0.970149,0.514644] predictive_accuracy 0.812 prior_entropy 3.321928094887362 recall 0.812 [0.985,0.765,0.935,0.835,0.735,0.915,0.415,0.945,0.975,0.615] relative_absolute_error 0.2088888888888839 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19390719429665385 root_relative_squared_error 0.6463573143221696 total_cost 0 area_under_roc_curve 0.875 [0.975,0.888889,0.972222,0.872222,0.919444,1,0.544444,0.894444,0.997222,0.686111] area_under_roc_curve 0.8999999999999999 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.713889,0.933333,0.972222,0.844444] area_under_roc_curve 0.9083333333333334 [1,0.883333,0.975,0.891667,0.911111,0.947222,0.708333,0.941667,1,0.825] area_under_roc_curve 0.9111111111111111 [0.975,0.861111,0.975,0.969444,0.908333,0.941667,0.763889,0.919444,0.972222,0.825] area_under_roc_curve 0.8944444444444444 [1,0.788889,0.975,0.916667,0.863889,0.941667,0.730556,0.980556,1,0.747222] area_under_roc_curve 0.9 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.655556,0.991667,1,0.758333] area_under_roc_curve 0.8916666666666666 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.775,0.980556,1,0.677778] area_under_roc_curve 0.9083333333333333 [0.975,0.877778,0.947222,0.919444,0.847222,0.947222,0.783333,0.988889,0.969444,0.827778] area_under_roc_curve 0.8972222222222221 [1,0.833333,0.997222,0.947222,0.766667,0.944444,0.616667,0.983333,1,0.883333] area_under_roc_curve 0.8694444444444442 [1,0.875,0.916667,0.85,0.869444,0.975,0.597222,0.986111,0.947222,0.677778] 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 0.7722277438140719 [0.974359,0.68,0.95,0.833333,0.871795,1,0.176471,0.842105,0.97561,0.418605] f_measure 0.8167734767436169 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.545455,0.818182,0.95,0.652174] f_measure 0.8332874574848483 [1,0.761905,0.974359,0.820513,0.809524,0.923077,0.514286,0.878049,1,0.651163] f_measure 0.8395822762981016 [0.974359,0.75,0.974359,0.926829,0.790698,0.878049,0.628571,0.871795,0.95,0.651163] f_measure 0.8066494926925647 [1,0.666667,0.974359,0.85,0.769231,0.878049,0.540541,0.851064,1,0.536585] f_measure 0.8184256917905828 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.411765,0.930233,1,0.510638] f_measure 0.800954914437011 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.585366,0.851064,1,0.444444] f_measure 0.83537462109991 [0.974359,0.727273,0.923077,0.871795,0.8,0.923077,0.631579,0.909091,0.926829,0.666667] f_measure 0.8026299731084211 [1,0.7,0.97561,0.923077,0.647059,0.9,0.357143,0.869565,1,0.653846] f_measure 0.7658794753551788 [1,0.711111,0.85,0.823529,0.810811,0.974359,0.285714,0.888889,0.923077,0.391304] kappa 0.75 kappa 0.7999999999999999 kappa 0.8166666666666667 kappa 0.8222222222222222 kappa 0.788888888888889 kappa 0.7999999999999999 kappa 0.7833333333333334 kappa 0.8166666666666667 kappa 0.7944444444444444 kappa 0.7388888888888889 kb_relative_information_score 152.94091292476992 kb_relative_information_score 162.35273033981585 kb_relative_information_score 165.49000281149785 kb_relative_information_score 166.5357603020585 kb_relative_information_score 160.26121535869456 kb_relative_information_score 162.35273033981585 kb_relative_information_score 159.21545786813388 kb_relative_information_score 165.49000281149785 kb_relative_information_score 161.3069728492552 kb_relative_information_score 150.84939794364857 mean_absolute_error 0.045 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.04699999999999999 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 0.7795763412153572 [1,0.566667,0.95,0.9375,0.894737,1,0.214286,0.888889,0.952381,0.391304] precision 0.8243430082129772 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.692308,0.75,0.95,0.576923] precision 0.8355312193527296 [1,0.727273,1,0.842105,0.772727,0.947368,0.6,0.857143,1,0.608696] precision 0.843780102429988 [1,0.75,1,0.904762,0.73913,0.857143,0.733333,0.894737,0.95,0.608696] precision 0.8099402100021296 [1,0.75,1,0.85,0.789474,0.857143,0.588235,0.740741,1,0.52381] precision 0.8255903165648758 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.5,0.869565,1,0.444444] precision 0.8068446368446368 [1,0.714286,1,0.857143,0.866667,0.818182,0.571429,0.740741,1,0.5] precision 0.8430599225336067 [1,0.666667,0.947368,0.894737,0.933333,0.947368,0.666667,0.833333,0.904762,0.636364] precision 0.8210944428378639 [1,0.7,0.952381,0.947368,0.785714,0.9,0.625,0.769231,1,0.53125] precision 0.7799208541716283 [1,0.64,0.85,1,0.882353,1,0.333333,0.8,0.947368,0.346154] predictive_accuracy 0.775 predictive_accuracy 0.82 predictive_accuracy 0.835 predictive_accuracy 0.84 predictive_accuracy 0.81 predictive_accuracy 0.82 predictive_accuracy 0.805 predictive_accuracy 0.835 predictive_accuracy 0.815 predictive_accuracy 0.765 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 0.775 [0.95,0.85,0.95,0.75,0.85,1,0.15,0.8,1,0.45] recall 0.82 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.75] recall 0.835 [1,0.8,0.95,0.8,0.85,0.9,0.45,0.9,1,0.7] recall 0.84 [0.95,0.75,0.95,0.95,0.85,0.9,0.55,0.85,0.95,0.7] recall 0.81 [1,0.6,0.95,0.85,0.75,0.9,0.5,1,1,0.55] recall 0.82 [1,0.8,1,0.8,0.75,0.9,0.35,1,1,0.6] recall 0.805 [1,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.4] recall 0.835 [0.95,0.8,0.9,0.85,0.7,0.9,0.6,1,0.95,0.7] recall 0.815 [1,0.7,1,0.9,0.55,0.9,0.25,1,1,0.85] recall 0.765 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.45] relative_absolute_error 0.2500000000000003 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.26111111111111135 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 0.21213203435596426 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.21679483388678797 root_relative_squared_error 0.707106781186548 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.7226494462892937 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 2255.298636000134 usercpu_time_millis 2339.1439390002233 usercpu_time_millis 2412.5760219999393 usercpu_time_millis 3127.221926999937 usercpu_time_millis 3061.1496030001035 usercpu_time_millis 2995.929776000139 usercpu_time_millis 2987.168757999825 usercpu_time_millis 2997.3940360000597 usercpu_time_millis 2928.407493999657 usercpu_time_millis 3139.642752999862 usercpu_time_millis_testing 34.56700000015189 usercpu_time_millis_testing 33.9794010001242 usercpu_time_millis_testing 41.31038700006684 usercpu_time_millis_testing 41.05621799999426 usercpu_time_millis_testing 39.99211700011074 usercpu_time_millis_testing 40.81898499998715 usercpu_time_millis_testing 40.516213000046264 usercpu_time_millis_testing 40.273487999911595 usercpu_time_millis_testing 40.44243699991057 usercpu_time_millis_testing 34.282129000075656 usercpu_time_millis_training 2220.7316359999822 usercpu_time_millis_training 2305.164538000099 usercpu_time_millis_training 2371.2656349998724 usercpu_time_millis_training 3086.1657089999426 usercpu_time_millis_training 3021.157485999993 usercpu_time_millis_training 2955.110791000152 usercpu_time_millis_training 2946.652544999779 usercpu_time_millis_training 2957.120548000148 usercpu_time_millis_training 2887.9650569997466 usercpu_time_millis_training 3105.360623999786