8824961 1 Jan van Rijn 14 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6800011 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "mean" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 9.35592464834627 7708 cache_size 200 7708 class_weight null 7708 coef0 0.35177814477914837 7708 decision_function_shape null 7708 degree 2 7708 gamma 0.0006708129883017428 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 39827 7708 shrinking false 7708 tol 0.0003627650669054487 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18565754 description https://api.openml.org/data/download/18565754/description.xml -1 18565755 predictions https://api.openml.org/data/download/18565755/predictions.arff area_under_roc_curve 0.9790708333333332 [0.999989,0.967736,0.995333,0.993031,0.971503,0.996033,0.944086,0.991647,0.991419,0.939931] average_cost 0 f_measure 0.8219061467839578 [0.994975,0.756098,0.955,0.883721,0.80916,0.918519,0.509284,0.890476,0.975,0.526829] kappa 0.8033333333333332 kb_relative_information_score 1633.941176136221 mean_absolute_error 0.052865919284135046 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8220343606472604 [1,0.738095,0.955,0.914439,0.823834,0.907317,0.542373,0.85,0.975,0.514286] predictive_accuracy 0.823 prior_entropy 3.321928094887362 recall 0.823 [0.99,0.775,0.955,0.855,0.795,0.93,0.48,0.935,0.975,0.54] relative_absolute_error 0.293699551578519 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.152965245573734 root_relative_squared_error 0.5098841519124389 total_cost 0 area_under_roc_curve 0.9804722222222222 [0.999722,0.973611,0.999444,0.996667,0.980556,1,0.918056,0.991944,0.999444,0.945278] area_under_roc_curve 0.9823611111111111 [1,0.974167,0.996944,0.996111,0.955278,0.995278,0.963056,0.990556,0.9975,0.954722] area_under_roc_curve 0.9763888888888889 [1,0.966389,1,0.980833,0.975833,0.996667,0.904722,0.988889,1,0.950556] area_under_roc_curve 0.9861666666666667 [1,0.981111,0.998611,0.999167,0.993056,0.996667,0.961667,0.993333,0.986389,0.951667] area_under_roc_curve 0.9780555555555556 [1,0.966111,0.996667,0.978889,0.973056,0.994167,0.955833,0.994722,1,0.921111] area_under_roc_curve 0.9802222222222221 [1,0.948611,0.998333,0.994722,0.973333,0.996944,0.955556,0.994167,1,0.940556] area_under_roc_curve 0.9812777777777778 [1,0.980833,0.988611,0.996389,0.971389,0.989722,0.962222,0.992778,1,0.930833] area_under_roc_curve 0.9828611111111111 [1,0.952778,0.995,0.998056,0.963333,0.998056,0.9575,0.993333,0.999167,0.971389] area_under_roc_curve 0.9816388888888891 [1,0.9725,1,0.998333,0.988333,0.991389,0.948611,0.997222,1,0.92] area_under_roc_curve 0.9677777777777778 [1,0.969167,0.983889,0.996667,0.944167,0.999167,0.931389,0.987778,0.941667,0.923889] 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 0.7993749492676688 [0.974359,0.693878,0.95,0.864865,0.871795,1,0.333333,0.842105,0.97561,0.487805] f_measure 0.8280833067621173 [1,0.8,0.95,0.894737,0.736842,0.857143,0.588235,0.837209,0.95,0.666667] f_measure 0.8436502159014623 [1,0.744186,1,0.842105,0.837209,0.878049,0.631579,0.871795,1,0.631579] f_measure 0.8504595168491934 [0.974359,0.769231,0.974359,0.926829,0.837209,0.9,0.666667,0.871795,0.95,0.634146] f_measure 0.7967766942413926 [1,0.702703,0.974359,0.85,0.731707,0.878049,0.512821,0.844444,1,0.473684] f_measure 0.8338263417531709 [1,0.8,0.952381,0.864865,0.820513,0.95,0.536585,0.952381,1,0.461538] f_measure 0.77938527090505 [1,0.75,0.918919,0.878049,0.756757,0.883721,0.421053,0.869565,1,0.315789] f_measure 0.8590985989560488 [1,0.780488,0.97561,0.9,0.833333,0.923077,0.666667,0.930233,0.95,0.631579] f_measure 0.8280704378509669 [1,0.789474,0.97561,0.95,0.769231,0.95,0.322581,0.952381,1,0.571429] f_measure 0.7932850364053158 [1,0.744186,0.878049,0.857143,0.894737,0.974359,0.358974,0.930233,0.923077,0.372093] kappa 0.7777777777777778 kappa 0.8111111111111111 kappa 0.8277777777777777 kappa 0.8333333333333333 kappa 0.7777777777777778 kappa 0.8166666666666667 kappa 0.7611111111111112 kappa 0.8444444444444444 kappa 0.8166666666666667 kappa 0.7666666666666667 kb_relative_information_score 162.56597629330338 kb_relative_information_score 163.0246320311365 kb_relative_information_score 161.28824996359398 kb_relative_information_score 165.67915217797915 kb_relative_information_score 161.03744751657766 kb_relative_information_score 166.04633938964358 kb_relative_information_score 162.2603525484811 kb_relative_information_score 165.64767376209718 kb_relative_information_score 166.7848202753994 kb_relative_information_score 159.60653217800964 mean_absolute_error 0.052950343506924555 mean_absolute_error 0.0538119773107369 mean_absolute_error 0.054343017094691186 mean_absolute_error 0.05039754037675994 mean_absolute_error 0.05492778135785596 mean_absolute_error 0.04974317210792892 mean_absolute_error 0.05344653511561298 mean_absolute_error 0.05211330338300442 mean_absolute_error 0.050021839331771026 mean_absolute_error 0.05690368325606555 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 0.8064580526705539 [1,0.586207,0.95,0.941176,0.894737,1,0.375,0.888889,0.952381,0.47619] precision 0.8337298450341929 [1,0.8,0.95,0.944444,0.777778,0.818182,0.714286,0.782609,0.95,0.6] precision 0.845236279103556 [1,0.695652,1,0.888889,0.782609,0.857143,0.666667,0.894737,1,0.666667] precision 0.8524839272093278 [1,0.789474,1,0.904762,0.782609,0.9,0.684211,0.894737,0.95,0.619048] precision 0.7972450243255197 [1,0.764706,1,0.85,0.714286,0.857143,0.526316,0.76,1,0.5] precision 0.8348957286263788 [1,0.8,0.909091,0.941176,0.842105,0.95,0.52381,0.909091,1,0.473684] precision 0.7803767772437848 [1,0.75,1,0.857143,0.823529,0.826087,0.444444,0.769231,1,0.333333] precision 0.8621749655759955 [1,0.761905,0.952381,0.9,0.9375,0.947368,0.636364,0.869565,0.95,0.666667] precision 0.8321582954250831 [1,0.833333,0.952381,0.95,0.789474,0.95,0.454545,0.909091,1,0.482759] precision 0.8030420253532381 [1,0.695652,0.857143,1,0.944444,1,0.368421,0.869565,0.947368,0.347826] predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.845 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.835 predictive_accuracy 0.785 predictive_accuracy 0.86 predictive_accuracy 0.835 predictive_accuracy 0.79 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 0.8 [0.95,0.85,0.95,0.8,0.85,1,0.3,0.8,1,0.5] recall 0.83 [1,0.8,0.95,0.85,0.7,0.9,0.5,0.9,0.95,0.75] recall 0.845 [1,0.8,1,0.8,0.9,0.9,0.6,0.85,1,0.6] recall 0.85 [0.95,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.65] recall 0.8 [1,0.65,0.95,0.85,0.75,0.9,0.5,0.95,1,0.45] recall 0.835 [1,0.8,1,0.8,0.8,0.95,0.55,1,1,0.45] recall 0.785 [1,0.75,0.85,0.9,0.7,0.95,0.4,1,1,0.3] recall 0.86 [1,0.8,1,0.9,0.75,0.9,0.7,1,0.95,0.6] recall 0.835 [1,0.75,1,0.95,0.75,0.95,0.25,1,1,0.7] recall 0.79 [1,0.8,0.9,0.75,0.85,0.95,0.35,1,0.9,0.4] relative_absolute_error 0.2941685750384701 relative_absolute_error 0.2989554295040942 relative_absolute_error 0.3019056505260625 relative_absolute_error 0.27998633542644447 relative_absolute_error 0.3051543408769779 relative_absolute_error 0.276350956155161 relative_absolute_error 0.2969251950867391 relative_absolute_error 0.2895183521278027 relative_absolute_error 0.27789910739872825 relative_absolute_error 0.3161315736448089 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 0.1545399553703662 root_mean_squared_error 0.15458257097504546 root_mean_squared_error 0.15540846369613054 root_mean_squared_error 0.14886635493467476 root_mean_squared_error 0.1596445750529576 root_mean_squared_error 0.14577341330231527 root_mean_squared_error 0.15503142257743238 root_mean_squared_error 0.14813759305206936 root_mean_squared_error 0.14420768717442922 root_mean_squared_error 0.16242132984242466 root_relative_squared_error 0.5151331845678876 root_relative_squared_error 0.5152752365834852 root_relative_squared_error 0.5180282123204354 root_relative_squared_error 0.49622118311558283 root_relative_squared_error 0.5321485835098589 root_relative_squared_error 0.4859113776743845 root_relative_squared_error 0.5167714085914416 root_relative_squared_error 0.49379197684023146 root_relative_squared_error 0.48069229058143104 root_relative_squared_error 0.5414044328080826 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 3331.53954300019 usercpu_time_millis 3096.705807000035 usercpu_time_millis 3631.79236499991 usercpu_time_millis 3132.6672210000197 usercpu_time_millis 3118.541925000045 usercpu_time_millis 3107.745365000028 usercpu_time_millis 3134.584087000121 usercpu_time_millis 2966.1138010001196 usercpu_time_millis 2976.062915000057 usercpu_time_millis 3105.2147230002447 usercpu_time_millis_testing 36.694964000162145 usercpu_time_millis_testing 36.93084400015323 usercpu_time_millis_testing 44.604909000099724 usercpu_time_millis_testing 37.033076999932746 usercpu_time_millis_testing 36.979507000069134 usercpu_time_millis_testing 39.202685999953246 usercpu_time_millis_testing 37.69403599994803 usercpu_time_millis_testing 37.893371000109255 usercpu_time_millis_testing 37.17858300001353 usercpu_time_millis_testing 36.971220000168614 usercpu_time_millis_training 3294.844579000028 usercpu_time_millis_training 3059.7749629998816 usercpu_time_millis_training 3587.1874559998105 usercpu_time_millis_training 3095.634144000087 usercpu_time_millis_training 3081.562417999976 usercpu_time_millis_training 3068.5426790000747 usercpu_time_millis_training 3096.890051000173 usercpu_time_millis_training 2928.2204300000103 usercpu_time_millis_training 2938.8843320000433 usercpu_time_millis_training 3068.243503000076