8906718 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) 6844154 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 13.540895661288681 7650 cache_size 200 7650 class_weight null 7650 coef0 0.43796256319430993 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.007205559322604372 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.0005647422148894381 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 18729168 description https://api.openml.org/data/download/18729168/description.xml -1 18729169 predictions https://api.openml.org/data/download/18729169/predictions.arff area_under_roc_curve 0.9152777777777779 [0.9975,0.896389,0.976111,0.9525,0.913611,0.964722,0.755833,0.954722,0.986389,0.755] average_cost 0 f_measure 0.8477136760881975 [0.997494,0.808933,0.964646,0.912718,0.859335,0.942065,0.561404,0.895884,0.977444,0.557214] kappa 0.8305555555555556 kb_relative_information_score 1681.0439653789426 mean_absolute_error 0.030500000000000162 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8482426566972409 [1,0.802956,0.97449,0.910448,0.879581,0.949239,0.562814,0.868545,0.979899,0.554455] predictive_accuracy 0.8475 prior_entropy 3.321928094887362 recall 0.8475 [0.995,0.815,0.955,0.915,0.84,0.935,0.56,0.925,0.975,0.56] relative_absolute_error 0.16944444444444012 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17464249196573028 root_relative_squared_error 0.5821416398857587 total_cost 0 area_under_roc_curve 0.9250000000000002 [0.975,0.930556,0.997222,0.95,0.963889,0.975,0.780556,0.897222,0.997222,0.783333] area_under_roc_curve 0.8944444444444444 [1,0.858333,0.95,0.891667,0.888889,0.947222,0.722222,0.963889,0.975,0.747222] area_under_roc_curve 0.9166666666666667 [1,0.938889,1,0.919444,0.961111,0.947222,0.747222,0.947222,1,0.705556] area_under_roc_curve 0.9499999999999998 [1,0.919444,0.975,0.991667,0.997222,0.975,0.861111,0.947222,0.975,0.858333] area_under_roc_curve 0.8888888888888888 [1,0.836111,0.95,0.941667,0.869444,0.916667,0.672222,0.961111,1,0.741667] area_under_roc_curve 0.9222222222222222 [1,0.916667,0.972222,0.919444,0.872222,0.994444,0.777778,0.994444,1,0.775] area_under_roc_curve 0.9138888888888888 [1,0.894444,0.95,0.966667,0.894444,0.969444,0.819444,0.988889,0.997222,0.658333] area_under_roc_curve 0.9333333333333332 [1,0.894444,0.997222,0.997222,0.919444,0.975,0.830556,0.941667,0.972222,0.805556] area_under_roc_curve 0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556] area_under_roc_curve 0.888888888888889 [1,0.880556,0.969444,0.95,0.844444,0.972222,0.713889,0.916667,0.947222,0.694444] 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 0.864285523981616 [0.974359,0.8,0.97561,0.947368,0.883721,0.974359,0.615385,0.864865,0.97561,0.631579] f_measure 0.8117330752160737 [1,0.731707,0.947368,0.820513,0.8,0.923077,0.5,0.883721,0.974359,0.536585] f_measure 0.8475313304581598 [1,0.857143,1,0.871795,0.863636,0.923077,0.536585,0.923077,1,0.5] f_measure 0.9105498349258984 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.75,0.923077,0.974359,0.731707] f_measure 0.8000493632492021 [1,0.717949,0.947368,0.878049,0.810811,0.85,0.421053,0.863636,1,0.511628] f_measure 0.8595255963548647 [1,0.85,0.95,0.871795,0.833333,0.952381,0.6,0.952381,1,0.585366] f_measure 0.8394335432076124 [1,0.842105,0.947368,0.904762,0.842105,0.926829,0.622222,0.909091,0.97561,0.424242] f_measure 0.880045423126296 [1,0.842105,0.97561,0.97561,0.871795,0.974359,0.682927,0.878049,0.95,0.65] f_measure 0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612] f_measure 0.803435471578141 [1,0.744186,0.926829,0.947368,0.777778,0.95,0.465116,0.85,0.923077,0.45] kappa 0.85 kappa 0.788888888888889 kappa 0.8333333333333333 kappa 0.9 kappa 0.7777777777777778 kappa 0.8444444444444444 kappa 0.8277777777777777 kappa 0.8666666666666667 kappa 0.8388888888888889 kappa 0.7777777777777778 kb_relative_information_score 171.7645477548618 kb_relative_information_score 160.26121535869456 kb_relative_information_score 168.6272752831798 kb_relative_information_score 181.17636516990774 kb_relative_information_score 158.16970037757324 kb_relative_information_score 170.71879026430113 kb_relative_information_score 167.58151779261917 kb_relative_information_score 174.90182022654378 kb_relative_information_score 169.67303277374046 kb_relative_information_score 158.16970037757324 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.018000000000000006 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.024000000000000007 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.040000000000000015 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 0.8690270945906967 [1,0.72,0.952381,1,0.826087,1,0.631579,0.941176,0.952381,0.666667] precision 0.8153655878827505 [1,0.714286,1,0.842105,0.8,0.947368,0.5,0.826087,1,0.52381] precision 0.8485631692868535 [1,0.818182,1,0.894737,0.791667,0.947368,0.52381,0.947368,1,0.5625] precision 0.9128337147215866 [1,0.894737,1,0.869565,0.952381,1,0.75,0.947368,1,0.714286] precision 0.8040709884258814 [1,0.736842,1,0.857143,0.882353,0.85,0.444444,0.791667,1,0.478261] precision 0.8621847231715652 [1,0.85,0.95,0.894737,0.9375,0.909091,0.6,0.909091,1,0.571429] precision 0.8430351870351871 [1,0.888889,1,0.863636,0.888889,0.904762,0.56,0.833333,0.952381,0.538462] precision 0.8812197159565581 [1,0.888889,0.952381,0.952381,0.894737,1,0.666667,0.857143,0.95,0.65] precision 0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276] precision 0.8107565108423231 [1,0.695652,0.904762,1,0.875,0.95,0.434783,0.85,0.947368,0.45] predictive_accuracy 0.865 predictive_accuracy 0.81 predictive_accuracy 0.85 predictive_accuracy 0.91 predictive_accuracy 0.8 predictive_accuracy 0.86 predictive_accuracy 0.845 predictive_accuracy 0.88 predictive_accuracy 0.855 predictive_accuracy 0.8 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 0.865 [0.95,0.9,1,0.9,0.95,0.95,0.6,0.8,1,0.6] recall 0.81 [1,0.75,0.9,0.8,0.8,0.9,0.5,0.95,0.95,0.55] recall 0.85 [1,0.9,1,0.85,0.95,0.9,0.55,0.9,1,0.45] recall 0.91 [1,0.85,0.95,1,1,0.95,0.75,0.9,0.95,0.75] recall 0.8 [1,0.7,0.9,0.9,0.75,0.85,0.4,0.95,1,0.55] recall 0.86 [1,0.85,0.95,0.85,0.75,1,0.6,1,1,0.6] recall 0.845 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.35] recall 0.88 [1,0.8,1,1,0.85,0.95,0.7,0.9,0.95,0.65] recall 0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65] recall 0.8 [1,0.8,0.95,0.9,0.7,0.95,0.5,0.85,0.9,0.45] relative_absolute_error 0.15000000000000024 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10000000000000014 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.13333333333333353 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.22222222222222257 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 0.16431676725154987 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.1341640786499874 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1549193338482967 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.20000000000000004 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.44721359549995826 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5163977794943226 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6666666666666672 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 3115.7260319996567 usercpu_time_millis 3420.264536999639 usercpu_time_millis 3417.092008000509 usercpu_time_millis 2901.9352780005647 usercpu_time_millis 2704.8552870001004 usercpu_time_millis 2747.2644980007317 usercpu_time_millis 2817.352369999753 usercpu_time_millis 3289.2752770003426 usercpu_time_millis 3638.6452209999334 usercpu_time_millis 3585.796049000237 usercpu_time_millis_testing 33.13003499988554 usercpu_time_millis_testing 38.08736399969348 usercpu_time_millis_testing 39.22199000044202 usercpu_time_millis_testing 35.19778800000495 usercpu_time_millis_testing 31.353561999821977 usercpu_time_millis_testing 32.49862800021219 usercpu_time_millis_testing 35.53978699983418 usercpu_time_millis_testing 42.480721000174526 usercpu_time_millis_testing 36.80104399973061 usercpu_time_millis_testing 37.24792800039722 usercpu_time_millis_training 3082.595996999771 usercpu_time_millis_training 3382.1771729999455 usercpu_time_millis_training 3377.870018000067 usercpu_time_millis_training 2866.73749000056 usercpu_time_millis_training 2673.5017250002784 usercpu_time_millis_training 2714.7658700005195 usercpu_time_millis_training 2781.812582999919 usercpu_time_millis_training 3246.794556000168 usercpu_time_millis_training 3601.8441770002028 usercpu_time_millis_training 3548.5481209998397