8905768 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) 6843320 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 1.8270799615013913 7650 cache_size 200 7650 class_weight null 7650 coef0 0.29347698871899086 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.001187864339166516 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.00014924780576738346 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 18727280 description https://api.openml.org/data/download/18727280/description.xml -1 18727281 predictions https://api.openml.org/data/download/18727281/predictions.arff area_under_roc_curve 0.8955555555555557 [0.995,0.862222,0.964722,0.915278,0.861111,0.949722,0.693611,0.9575,0.986111,0.770278] average_cost 0 f_measure 0.8105937333899643 [0.994975,0.730769,0.942065,0.872727,0.778947,0.907731,0.481586,0.86836,0.975,0.553776] 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 0.8136716281082164 [1,0.703704,0.949239,0.908108,0.822222,0.905473,0.555556,0.806867,0.975,0.510549] predictive_accuracy 0.812 prior_entropy 3.321928094887362 recall 0.812 [0.99,0.76,0.935,0.84,0.74,0.91,0.425,0.94,0.975,0.605] 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 0.8833333333333334 [0.975,0.916667,0.972222,0.9,0.922222,1,0.547222,0.891667,0.997222,0.711111] area_under_roc_curve 0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444] area_under_roc_curve 0.9055555555555556 [1,0.855556,0.975,0.888889,0.911111,0.947222,0.733333,0.916667,1,0.827778] area_under_roc_curve 0.9111111111111111 [0.975,0.838889,0.975,0.969444,0.908333,0.941667,0.788889,0.916667,0.972222,0.825] area_under_roc_curve 0.8916666666666667 [1,0.788889,0.975,0.916667,0.861111,0.941667,0.708333,0.980556,1,0.744444] area_under_roc_curve 0.8972222222222223 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.675,0.991667,1,0.711111] area_under_roc_curve 0.8888888888888888 [1,0.858333,0.925,0.941667,0.819444,0.913889,0.752778,0.980556,1,0.697222] area_under_roc_curve 0.9166666666666667 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.808333,0.991667,0.972222,0.830556] area_under_roc_curve 0.8916666666666666 [1,0.833333,0.997222,0.947222,0.763889,0.944444,0.611111,0.986111,1,0.833333] area_under_roc_curve 0.872222222222222 [1,0.875,0.916667,0.85,0.869444,0.975,0.6,0.986111,0.947222,0.702778] 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 0.7860470918327144 [0.974359,0.72,0.95,0.888889,0.894737,1,0.181818,0.820513,0.97561,0.454545] f_measure 0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222] f_measure 0.8293467643467644 [1,0.714286,0.974359,0.8,0.809524,0.923077,0.555556,0.85,1,0.666667] f_measure 0.839896523454454 [0.974359,0.736842,0.974359,0.926829,0.790698,0.878049,0.666667,0.85,0.95,0.651163] f_measure 0.8008233489395918 [1,0.666667,0.974359,0.85,0.75,0.878049,0.514286,0.851064,1,0.52381] f_measure 0.8148831801129022 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.432432,0.930233,1,0.454545] f_measure 0.7977505307448225 [1,0.731707,0.918919,0.878049,0.742857,0.829268,0.564103,0.851064,1,0.461538] f_measure 0.8508380832629274 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.666667,0.930233,0.95,0.682927] f_measure 0.7949480329968135 [1,0.7,0.97561,0.923077,0.628571,0.9,0.333333,0.888889,1,0.6] f_measure 0.7701425681963854 [1,0.711111,0.85,0.823529,0.810811,0.974359,0.294118,0.888889,0.923077,0.425532] kappa 0.7666666666666667 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.8222222222222222 kappa 0.7833333333333334 kappa 0.7944444444444444 kappa 0.7777777777777778 kappa 0.8333333333333333 kappa 0.7833333333333334 kappa 0.7444444444444445 kb_relative_information_score 156.07818539645191 kb_relative_information_score 161.3069728492552 kb_relative_information_score 164.4442453209372 kb_relative_information_score 166.5357603020585 kb_relative_information_score 159.21545786813388 kb_relative_information_score 161.3069728492552 kb_relative_information_score 158.16970037757324 kb_relative_information_score 168.6272752831798 kb_relative_information_score 159.21545786813388 kb_relative_information_score 151.89515543420927 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.046 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 0.7936366557419189 [1,0.6,0.95,1,0.944444,1,0.230769,0.842105,0.952381,0.416667] precision 0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56] precision 0.8313277511961722 [1,0.681818,1,0.8,0.772727,0.947368,0.625,0.85,1,0.636364] precision 0.8437508626639061 [1,0.777778,1,0.904762,0.73913,0.857143,0.75,0.85,0.95,0.608696] precision 0.8047883597883597 [1,0.75,1,0.85,0.75,0.857143,0.6,0.740741,1,0.5] precision 0.8198713623165098 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.470588,0.869565,1,0.416667] precision 0.8040991367307158 [1,0.714286,1,0.857143,0.866667,0.809524,0.578947,0.740741,1,0.473684] precision 0.8564082761250954 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.684211,0.869565,0.95,0.666667] precision 0.8033082706766917 [1,0.7,0.952381,0.947368,0.733333,0.9,0.5,0.8,1,0.5] precision 0.7847234589742329 [1,0.64,0.85,1,0.882353,1,0.357143,0.8,0.947368,0.37037] predictive_accuracy 0.79 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.84 predictive_accuracy 0.805 predictive_accuracy 0.815 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.805 predictive_accuracy 0.77 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 0.79 [0.95,0.9,0.95,0.8,0.85,1,0.15,0.8,1,0.5] recall 0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7] recall 0.83 [1,0.75,0.95,0.8,0.85,0.9,0.5,0.85,1,0.7] recall 0.84 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.7] recall 0.805 [1,0.6,0.95,0.85,0.75,0.9,0.45,1,1,0.55] recall 0.815 [1,0.8,1,0.8,0.75,0.9,0.4,1,1,0.5] recall 0.8 [1,0.75,0.85,0.9,0.65,0.85,0.55,1,1,0.45] recall 0.85 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.7] recall 0.805 [1,0.7,1,0.9,0.55,0.9,0.25,1,1,0.75] recall 0.77 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5] relative_absolute_error 0.23333333333333364 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.2555555555555558 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 0.20493901531919198 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.21447610589527216 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.714920352984241 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 2606.6880529999708 usercpu_time_millis 2964.1702479998457 usercpu_time_millis 3007.5121090001176 usercpu_time_millis 2974.4136589999925 usercpu_time_millis 3006.999661000009 usercpu_time_millis 2978.207884000085 usercpu_time_millis 2982.2216609998122 usercpu_time_millis 3089.9062060000233 usercpu_time_millis 3038.535855999953 usercpu_time_millis 3022.1643350000704 usercpu_time_millis_testing 32.358652000084476 usercpu_time_millis_testing 39.00842400003057 usercpu_time_millis_testing 39.471261000016966 usercpu_time_millis_testing 38.961507000067286 usercpu_time_millis_testing 38.2817449999493 usercpu_time_millis_testing 39.17974199998753 usercpu_time_millis_testing 39.50678000001062 usercpu_time_millis_testing 39.572957000018505 usercpu_time_millis_testing 38.01669399990715 usercpu_time_millis_testing 38.638809000076435 usercpu_time_millis_training 2574.3294009998863 usercpu_time_millis_training 2925.161823999815 usercpu_time_millis_training 2968.0408480001006 usercpu_time_millis_training 2935.4521519999253 usercpu_time_millis_training 2968.7179160000596 usercpu_time_millis_training 2939.0281420000974 usercpu_time_millis_training 2942.7148809998016 usercpu_time_millis_training 3050.333249000005 usercpu_time_millis_training 3000.519162000046 usercpu_time_millis_training 2983.525525999994