8906351 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) 6843831 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 12.750197028308017 7650 cache_size 200 7650 class_weight null 7650 coef0 0.4336223818027576 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.006825748021736655 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.0005426121663568004 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 18728438 description https://api.openml.org/data/download/18728438/description.xml -1 18728439 predictions https://api.openml.org/data/download/18728439/predictions.arff area_under_roc_curve 0.9152777777777779 [0.9975,0.894444,0.976111,0.95,0.913611,0.964722,0.755833,0.956944,0.986389,0.757222] average_cost 0 f_measure 0.8478179329086575 [0.997494,0.81,0.964646,0.91,0.859335,0.942065,0.561404,0.896386,0.977444,0.559406] 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 0.8485060941967446 [1,0.81,0.97449,0.91,0.879581,0.949239,0.562814,0.865116,0.979899,0.553922] predictive_accuracy 0.8475 prior_entropy 3.321928094887362 recall 0.8475 [0.995,0.81,0.955,0.91,0.84,0.935,0.56,0.93,0.975,0.565] 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 [0.975,0.933333,0.997222,0.925,0.963889,0.975,0.802778,0.922222,0.997222,0.758333] area_under_roc_curve 0.8972222222222223 [1,0.858333,0.95,0.891667,0.888889,0.947222,0.725,0.963889,0.975,0.772222] 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 0.9472222222222222 [1,0.919444,0.975,0.991667,0.997222,0.975,0.836111,0.947222,0.975,0.855556] area_under_roc_curve 0.8833333333333333 [1,0.813889,0.95,0.941667,0.869444,0.916667,0.644444,0.958333,1,0.738889] area_under_roc_curve 0.9249999999999998 [1,0.916667,0.972222,0.919444,0.872222,0.994444,0.802778,0.994444,1,0.777778] area_under_roc_curve 0.9166666666666664 [1,0.894444,0.95,0.966667,0.894444,0.969444,0.822222,0.988889,0.997222,0.683333] 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 0.8644236906409638 [0.974359,0.818182,0.97561,0.918919,0.883721,0.974359,0.634146,0.894737,0.97561,0.594595] f_measure 0.8164994470556163 [1,0.731707,0.947368,0.820513,0.8,0.923077,0.512821,0.883721,0.974359,0.571429] f_measure 0.8475313304581598 [1,0.857143,1,0.871795,0.863636,0.923077,0.536585,0.923077,1,0.5] f_measure 0.9056025464420244 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.717949,0.923077,0.974359,0.714286] f_measure 0.7901796212129973 [1,0.702703,0.947368,0.878049,0.810811,0.85,0.368421,0.844444,1,0.5] f_measure 0.8644036451353524 [1,0.85,0.95,0.871795,0.833333,0.952381,0.634146,0.952381,1,0.6] f_measure 0.8454822657269232 [1,0.842105,0.947368,0.904762,0.842105,0.926829,0.636364,0.909091,0.97561,0.470588] 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 0.7944444444444444 kappa 0.8333333333333333 kappa 0.8944444444444445 kappa 0.7666666666666667 kappa 0.85 kappa 0.8333333333333333 kappa 0.8666666666666667 kappa 0.8388888888888889 kappa 0.7777777777777778 kb_relative_information_score 171.7645477548618 kb_relative_information_score 161.3069728492552 kb_relative_information_score 168.6272752831798 kb_relative_information_score 180.13060767934704 kb_relative_information_score 156.07818539645191 kb_relative_information_score 171.7645477548618 kb_relative_information_score 168.6272752831798 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 0.03700000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.030000000000000013 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 0.8691399748305119 [1,0.75,0.952381,1,0.826087,1,0.619048,0.944444,0.952381,0.647059] precision 0.820161668994621 [1,0.714286,1,0.842105,0.8,0.947368,0.526316,0.826087,1,0.545455] precision 0.8485631692868535 [1,0.818182,1,0.894737,0.791667,0.947368,0.52381,0.947368,1,0.5625] precision 0.9082711720011492 [1,0.894737,1,0.869565,0.952381,1,0.736842,0.947368,1,0.681818] precision 0.7961423902894489 [1,0.764706,1,0.857143,0.882353,0.85,0.388889,0.76,1,0.458333] precision 0.8669466279334701 [1,0.85,0.95,0.894737,0.9375,0.909091,0.619048,0.909091,1,0.6] precision 0.8486652236652236 [1,0.888889,1,0.863636,0.888889,0.904762,0.583333,0.833333,0.952381,0.571429] 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 0.815 predictive_accuracy 0.85 predictive_accuracy 0.905 predictive_accuracy 0.79 predictive_accuracy 0.865 predictive_accuracy 0.85 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 [0.95,0.9,1,0.85,0.95,0.95,0.65,0.85,1,0.55] recall 0.815 [1,0.75,0.9,0.8,0.8,0.9,0.5,0.95,0.95,0.6] recall 0.85 [1,0.9,1,0.85,0.95,0.9,0.55,0.9,1,0.45] recall 0.905 [1,0.85,0.95,1,1,0.95,0.7,0.9,0.95,0.75] recall 0.79 [1,0.65,0.9,0.9,0.75,0.85,0.35,0.95,1,0.55] recall 0.865 [1,0.85,0.95,0.85,0.75,1,0.65,1,1,0.6] recall 0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4] 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 0.20555555555555588 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.15000000000000024 relative_absolute_error 0.16666666666666693 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 0.19235384061671348 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.16431676725154987 root_mean_squared_error 0.17320508075688776 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 0.6411794687223786 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.5773502691896262 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 3185.7249719996616 usercpu_time_millis 3103.2144090004294 usercpu_time_millis 2861.0492150000937 usercpu_time_millis 2588.3259339998403 usercpu_time_millis 2515.4557369996837 usercpu_time_millis 2528.276994999942 usercpu_time_millis 2762.1701179996307 usercpu_time_millis 3231.448334999186 usercpu_time_millis 3342.3465880005097 usercpu_time_millis 3266.7828570001802 usercpu_time_millis_testing 35.585747999903106 usercpu_time_millis_testing 39.93241300031514 usercpu_time_millis_testing 30.827345999568934 usercpu_time_millis_testing 30.290368999885686 usercpu_time_millis_testing 32.48538299976644 usercpu_time_millis_testing 30.890574999830278 usercpu_time_millis_testing 30.81550499973673 usercpu_time_millis_testing 40.63157299970044 usercpu_time_millis_testing 38.9506640003674 usercpu_time_millis_testing 36.56692999993538 usercpu_time_millis_training 3150.1392239997585 usercpu_time_millis_training 3063.2819960001143 usercpu_time_millis_training 2830.2218690005247 usercpu_time_millis_training 2558.0355649999547 usercpu_time_millis_training 2482.9703539999173 usercpu_time_millis_training 2497.3864200001117 usercpu_time_millis_training 2731.354612999894 usercpu_time_millis_training 3190.8167619994856 usercpu_time_millis_training 3303.3959240001423 usercpu_time_millis_training 3230.215927000245