8906562 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) 6844020 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 7.224360341058035 7650 cache_size 200 7650 class_weight null 7650 coef0 0.39264349271189813 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.004093591530213315 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.0003720265808849293 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 18728856 description https://api.openml.org/data/download/18728856/description.xml -1 18728857 predictions https://api.openml.org/data/download/18728857/predictions.arff area_under_roc_curve 0.911111111111111 [0.9975,0.882222,0.975,0.950833,0.907778,0.97,0.726111,0.968611,0.986389,0.746667] average_cost 0 f_measure 0.8395644335217498 [0.997494,0.796954,0.955,0.916877,0.846939,0.949749,0.518135,0.903073,0.977444,0.533981] kappa 0.8222222222222222 kb_relative_information_score 1665.3576030205338 mean_absolute_error 0.03200000000000019 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8400169079184913 [1,0.809278,0.955,0.923858,0.864583,0.954545,0.537634,0.856502,0.979899,0.518868] predictive_accuracy 0.84 prior_entropy 3.321928094887362 recall 0.84 [0.995,0.785,0.955,0.91,0.83,0.945,0.5,0.955,0.975,0.55] relative_absolute_error 0.17777777777777334 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1788854381999837 root_relative_squared_error 0.5962847939999366 total_cost 0 area_under_roc_curve 0.9055555555555554 [0.975,0.930556,0.972222,0.925,0.936111,0.975,0.697222,0.944444,0.997222,0.702778] area_under_roc_curve 0.9111111111111111 [1,0.911111,0.972222,0.894444,0.916667,0.947222,0.730556,0.966667,0.975,0.797222] area_under_roc_curve 0.9138888888888889 [1,0.911111,1,0.919444,0.958333,0.947222,0.775,0.919444,1,0.708333] area_under_roc_curve 0.9444444444444445 [1,0.894444,0.975,0.994444,0.991667,0.975,0.769444,0.947222,0.975,0.922222] area_under_roc_curve 0.8972222222222221 [1,0.816667,0.975,0.941667,0.872222,0.969444,0.694444,0.983333,1,0.719444] area_under_roc_curve 0.9055555555555556 [1,0.866667,0.969444,0.916667,0.872222,0.994444,0.722222,0.994444,1,0.719444] area_under_roc_curve 0.9055555555555554 [1,0.891667,0.95,0.972222,0.869444,0.969444,0.747222,0.983333,0.997222,0.675] area_under_roc_curve 0.9305555555555556 [1,0.894444,0.997222,0.997222,0.894444,0.975,0.827778,0.966667,0.972222,0.780556] area_under_roc_curve 0.911111111111111 [1,0.844444,0.997222,0.997222,0.919444,0.975,0.608333,0.991667,1,0.777778] area_under_roc_curve 0.8861111111111112 [1,0.861111,0.941667,0.95,0.847222,0.972222,0.688889,0.988889,0.947222,0.663889] 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 0.8278480874084957 [0.974359,0.8,0.95,0.918919,0.837209,0.974359,0.461538,0.9,0.97561,0.486486] f_measure 0.8399018578210744 [1,0.809524,0.95,0.842105,0.85,0.923077,0.540541,0.904762,0.974359,0.604651] f_measure 0.8420286488579172 [1,0.809524,1,0.871795,0.844444,0.923077,0.585366,0.871795,1,0.514286] f_measure 0.8987539286498893 [1,0.842105,0.974359,0.952381,0.930233,0.974359,0.666667,0.923077,0.974359,0.75] f_measure 0.8142162674135102 [1,0.722222,0.974359,0.878049,0.833333,0.926829,0.45,0.869565,1,0.487805] f_measure 0.8292203068647227 [1,0.789474,0.926829,0.85,0.833333,0.952381,0.5,0.952381,1,0.487805] f_measure 0.8269714092443902 [1,0.820513,0.947368,0.95,0.810811,0.926829,0.536585,0.869565,0.97561,0.432432] f_measure 0.8746602199683073 [1,0.842105,0.97561,0.97561,0.842105,0.974359,0.666667,0.904762,0.95,0.615385] f_measure 0.8347964339427573 [1,0.777778,0.97561,0.97561,0.871795,0.974359,0.322581,0.930233,1,0.52] f_measure 0.7976400364718721 [1,0.75,0.878049,0.947368,0.8,0.95,0.428571,0.909091,0.923077,0.390244] kappa 0.8111111111111111 kappa 0.8222222222222222 kappa 0.8277777777777777 kappa 0.888888888888889 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.8111111111111111 kappa 0.8611111111111112 kappa 0.8222222222222222 kappa 0.7722222222222223 kb_relative_information_score 164.4442453209372 kb_relative_information_score 166.5357603020585 kb_relative_information_score 167.58151779261917 kb_relative_information_score 179.0848501887864 kb_relative_information_score 161.3069728492552 kb_relative_information_score 164.4442453209372 kb_relative_information_score 164.4442453209372 kb_relative_information_score 173.8560627359831 kb_relative_information_score 166.5357603020585 kb_relative_information_score 157.1239428870126 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.041000000000000016 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 0.8308085623265324 [1,0.72,0.95,1,0.782609,1,0.473684,0.9,0.952381,0.529412] precision 0.8426073631727152 [1,0.772727,0.95,0.888889,0.85,0.947368,0.588235,0.863636,1,0.565217] precision 0.8440997949419002 [1,0.772727,1,0.894737,0.76,0.947368,0.571429,0.894737,1,0.6] precision 0.9103924425434724 [1,0.888889,1,0.909091,0.869565,1,0.846154,0.947368,1,0.642857] precision 0.8207326007326007 [1,0.8125,1,0.857143,0.9375,0.904762,0.45,0.769231,1,0.47619] precision 0.8319967532467533 [1,0.833333,0.904762,0.85,0.9375,0.909091,0.5,0.909091,1,0.47619] precision 0.8295229589811633 [1,0.842105,1,0.95,0.882353,0.904762,0.52381,0.769231,0.952381,0.470588] precision 0.8764118629908103 [1,0.888889,0.952381,0.952381,0.888889,1,0.636364,0.863636,0.95,0.631579] precision 0.843194275213726 [1,0.875,0.952381,0.952381,0.894737,1,0.454545,0.869565,1,0.433333] precision 0.8061221234905446 [1,0.75,0.857143,1,0.933333,0.95,0.409091,0.833333,0.947368,0.380952] predictive_accuracy 0.83 predictive_accuracy 0.84 predictive_accuracy 0.845 predictive_accuracy 0.9 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.83 predictive_accuracy 0.875 predictive_accuracy 0.84 predictive_accuracy 0.795 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 0.83 [0.95,0.9,0.95,0.85,0.9,0.95,0.45,0.9,1,0.45] recall 0.84 [1,0.85,0.95,0.8,0.85,0.9,0.5,0.95,0.95,0.65] recall 0.845 [1,0.85,1,0.85,0.95,0.9,0.6,0.85,1,0.45] recall 0.9 [1,0.8,0.95,1,1,0.95,0.55,0.9,0.95,0.9] recall 0.815 [1,0.65,0.95,0.9,0.75,0.95,0.45,1,1,0.5] recall 0.83 [1,0.75,0.95,0.85,0.75,1,0.5,1,1,0.5] recall 0.83 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.4] recall 0.875 [1,0.8,1,1,0.8,0.95,0.7,0.95,0.95,0.6] recall 0.84 [1,0.7,1,1,0.85,0.95,0.25,1,1,0.65] recall 0.795 [1,0.75,0.9,0.9,0.7,0.95,0.45,1,0.9,0.4] relative_absolute_error 0.1888888888888892 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.11111111111111127 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.2277777777777781 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 0.1843908891458578 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.14142135623730953 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.20248456731316591 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.47140452079103207 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.6749485577105534 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 2512.3633700004575 usercpu_time_millis 2434.2443840005217 usercpu_time_millis 2473.4528730004968 usercpu_time_millis 2594.955093999488 usercpu_time_millis 3325.975844999448 usercpu_time_millis 3108.887973000492 usercpu_time_millis 3291.0688140000275 usercpu_time_millis 3406.110889000047 usercpu_time_millis 3299.416956000641 usercpu_time_millis 3081.6416250008842 usercpu_time_millis_testing 31.315516000177013 usercpu_time_millis_testing 28.64981400034594 usercpu_time_millis_testing 28.99799399983749 usercpu_time_millis_testing 29.128713000318385 usercpu_time_millis_testing 33.81018700019922 usercpu_time_millis_testing 34.214900000733905 usercpu_time_millis_testing 36.83556400028465 usercpu_time_millis_testing 33.40433399989706 usercpu_time_millis_testing 34.10993000034068 usercpu_time_millis_testing 35.76119900026242 usercpu_time_millis_training 2481.0478540002805 usercpu_time_millis_training 2405.5945700001757 usercpu_time_millis_training 2444.4548790006593 usercpu_time_millis_training 2565.8263809991695 usercpu_time_millis_training 3292.1656579992487 usercpu_time_millis_training 3074.673072999758 usercpu_time_millis_training 3254.233249999743 usercpu_time_millis_training 3372.70655500015 usercpu_time_millis_training 3265.3070260003005 usercpu_time_millis_training 3045.880426000622