8828059 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) 6803109 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 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 15504.740053506657 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.4111937971829607 7708 decision_function_shape null 7708 degree 1 7708 gamma 0.0001061824176796361 7708 kernel "sigmoid" 7708 max_iter -1 7708 probability true 7708 random_state 25338 7708 shrinking false 7708 tol 1.97430651611124e-05 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 18571922 description https://api.openml.org/data/download/18571922/description.xml -1 18571923 predictions https://api.openml.org/data/download/18571923/predictions.arff area_under_roc_curve 0.9814727777777777 [1,0.969172,0.993386,0.989164,0.971078,0.992347,0.957756,0.993983,0.995592,0.95225] average_cost 0 f_measure 0.8364878235189701 [0.997494,0.774359,0.944162,0.862843,0.77551,0.90099,0.613811,0.901205,0.982456,0.612048] kappa 0.8183333333333334 kb_relative_information_score 1604.8471837734664 mean_absolute_error 0.056873204609065066 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.837168176623145 [1,0.794737,0.958763,0.860697,0.791667,0.892157,0.628272,0.869767,0.984925,0.590698] predictive_accuracy 0.8365 prior_entropy 3.321928094887362 recall 0.8365 [0.995,0.755,0.93,0.865,0.76,0.91,0.6,0.935,0.98,0.635] relative_absolute_error 0.3159622478281295 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1554967989286482 root_relative_squared_error 0.518322663095486 total_cost 0 area_under_roc_curve 0.986 [1,0.984722,1,0.993333,0.986389,1,0.942222,0.996389,1,0.956944] area_under_roc_curve 0.9834444444444445 [1,0.958611,0.997778,0.985833,0.979722,0.988333,0.960833,0.996944,0.999722,0.966667] area_under_roc_curve 0.9825833333333334 [1,0.974444,0.998889,0.977778,0.990556,0.997222,0.940278,0.995278,1,0.951389] area_under_roc_curve 0.9910555555555556 [1,0.985556,0.997778,0.996944,0.998611,0.993056,0.989444,0.998333,0.986944,0.963889] area_under_roc_curve 0.9755277777777779 [1,0.930556,0.995833,0.978056,0.973611,0.991111,0.953889,0.993611,1,0.938611] area_under_roc_curve 0.9804444444444443 [1,0.960556,0.997222,0.979444,0.954444,0.996111,0.966667,0.995278,1,0.954722] area_under_roc_curve 0.9847222222222222 [1,0.982778,0.974444,0.998611,0.985,0.997222,0.972222,0.992778,1,0.944167] area_under_roc_curve 0.9770555555555555 [1,0.960278,0.997222,0.992778,0.93,0.97,0.962778,0.986944,0.997778,0.972778] area_under_roc_curve 0.9826666666666668 [1,0.974722,0.999444,0.996667,0.974167,0.993611,0.953333,0.995278,1,0.939444] area_under_roc_curve 0.9766944444444444 [1,0.972222,0.977222,0.995556,0.960278,0.998056,0.949444,0.993056,0.970833,0.950278] 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 0.8472215818949942 [0.974359,0.904762,0.97561,0.842105,0.809524,0.974359,0.622222,0.923077,0.97561,0.470588] f_measure 0.8130965616383363 [1,0.666667,0.918919,0.8,0.761905,0.878049,0.545455,0.904762,0.974359,0.680851] f_measure 0.8334779255831887 [1,0.809524,0.974359,0.842105,0.8,0.9,0.571429,0.923077,1,0.514286] f_measure 0.8952903598346472 [1,0.842105,0.974359,0.888889,0.904762,0.864865,0.8,0.923077,0.974359,0.780488] f_measure 0.7822382122382122 [1,0.7,0.918919,0.818182,0.666667,0.809524,0.5,0.863636,1,0.545455] f_measure 0.8330155972138837 [1,0.769231,0.923077,0.842105,0.666667,0.863636,0.697674,0.952381,1,0.615385] f_measure 0.8328232165780304 [1,0.722222,0.894737,0.904762,0.780488,0.95,0.631579,0.844444,1,0.6] f_measure 0.8581994585075458 [1,0.820513,0.97561,0.9,0.722222,0.904762,0.684211,0.871795,0.97561,0.727273] f_measure 0.8579395185256813 [1,0.764706,0.97561,0.952381,0.820513,0.947368,0.571429,0.909091,1,0.638298] f_measure 0.7980249385557849 [1,0.731707,0.904762,0.823529,0.777778,0.926829,0.487805,0.904762,0.923077,0.5] kappa 0.8333333333333333 kappa 0.7944444444444444 kappa 0.8166666666666667 kappa 0.8833333333333333 kappa 0.7611111111111112 kappa 0.8166666666666667 kappa 0.8166666666666667 kappa 0.8444444444444444 kappa 0.8444444444444444 kappa 0.7722222222222223 kb_relative_information_score 162.73580029143238 kb_relative_information_score 160.05592373958487 kb_relative_information_score 161.179654468734 kb_relative_information_score 163.50849699351727 kb_relative_information_score 154.28443805728475 kb_relative_information_score 159.32234258603512 kb_relative_information_score 163.76540875419832 kb_relative_information_score 159.5569087199773 kb_relative_information_score 163.53284892983314 kb_relative_information_score 156.90536123287083 mean_absolute_error 0.054868170581382276 mean_absolute_error 0.0573618373428338 mean_absolute_error 0.05658628913771482 mean_absolute_error 0.05579274287159947 mean_absolute_error 0.062249241238757795 mean_absolute_error 0.05801302817476626 mean_absolute_error 0.05273436679344392 mean_absolute_error 0.05823007982743936 mean_absolute_error 0.052849061785097684 mean_absolute_error 0.060047228337615687 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 0.8508811422495631 [1,0.863636,0.952381,0.888889,0.772727,1,0.56,0.947368,0.952381,0.571429] precision 0.8217162759268022 [1,0.684211,1,0.8,0.727273,0.857143,0.692308,0.863636,1,0.592593] precision 0.8374439128123339 [1,0.772727,1,0.888889,0.72,0.9,0.545455,0.947368,1,0.6] precision 0.9002974906070881 [1,0.888889,1,0.8,0.863636,0.941176,0.8,0.947368,1,0.761905] precision 0.7923047785547785 [1,0.7,1,0.75,0.846154,0.772727,0.5625,0.791667,1,0.5] precision 0.8360241430321521 [1,0.789474,0.947368,0.888889,0.75,0.791667,0.652174,0.909091,1,0.631579] precision 0.8359152236652236 [1,0.8125,0.944444,0.863636,0.761905,0.95,0.666667,0.76,1,0.6] precision 0.8606629262550315 [1,0.842105,0.952381,0.9,0.8125,0.863636,0.722222,0.894737,0.952381,0.666667] precision 0.8687704108756741 [1,0.928571,0.952381,0.909091,0.842105,1,0.666667,0.833333,1,0.555556] precision 0.8103212576896788 [1,0.714286,0.863636,1,0.875,0.904762,0.47619,0.863636,0.947368,0.458333] predictive_accuracy 0.85 predictive_accuracy 0.815 predictive_accuracy 0.835 predictive_accuracy 0.895 predictive_accuracy 0.785 predictive_accuracy 0.835 predictive_accuracy 0.835 predictive_accuracy 0.86 predictive_accuracy 0.86 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 0.85 [0.95,0.95,1,0.8,0.85,0.95,0.7,0.9,1,0.4] recall 0.815 [1,0.65,0.85,0.8,0.8,0.9,0.45,0.95,0.95,0.8] recall 0.835 [1,0.85,0.95,0.8,0.9,0.9,0.6,0.9,1,0.45] recall 0.895 [1,0.8,0.95,1,0.95,0.8,0.8,0.9,0.95,0.8] recall 0.785 [1,0.7,0.85,0.9,0.55,0.85,0.45,0.95,1,0.6] recall 0.835 [1,0.75,0.9,0.8,0.6,0.95,0.75,1,1,0.6] recall 0.835 [1,0.65,0.85,0.95,0.8,0.95,0.6,0.95,1,0.6] recall 0.86 [1,0.8,1,0.9,0.65,0.95,0.65,0.85,1,0.8] recall 0.86 [1,0.65,1,1,0.8,0.9,0.5,1,1,0.75] recall 0.795 [1,0.75,0.95,0.7,0.7,0.95,0.5,0.95,0.9,0.55] relative_absolute_error 0.30482316989656855 relative_absolute_error 0.3186768741268548 relative_absolute_error 0.3143682729873049 relative_absolute_error 0.3099596826199974 relative_absolute_error 0.34582911799309923 relative_absolute_error 0.322294600970924 relative_absolute_error 0.2929687044080221 relative_absolute_error 0.32350044348577456 relative_absolute_error 0.29360589880609855 relative_absolute_error 0.33359571298675417 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 0.1496089546878984 root_mean_squared_error 0.1562241531871111 root_mean_squared_error 0.15262083895591308 root_mean_squared_error 0.144831144239086 root_mean_squared_error 0.1704821524073803 root_mean_squared_error 0.15796167712250725 root_mean_squared_error 0.14796838693644737 root_mean_squared_error 0.1623128877102274 root_mean_squared_error 0.1484597704022851 root_mean_squared_error 0.16259785477491598 root_relative_squared_error 0.4986965156263283 root_relative_squared_error 0.5207471772903707 root_relative_squared_error 0.508736129853044 root_relative_squared_error 0.4827704807969536 root_relative_squared_error 0.5682738413579347 root_relative_squared_error 0.5265389237416911 root_relative_squared_error 0.49322795645482487 root_relative_squared_error 0.5410429590340917 root_relative_squared_error 0.49486590134095065 root_relative_squared_error 0.5419928492497202 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 6828.784836001432 usercpu_time_millis 6754.5355780021055 usercpu_time_millis 6764.908016000845 usercpu_time_millis 6840.633482999692 usercpu_time_millis 7019.154693000019 usercpu_time_millis 7083.9203070027 usercpu_time_millis 7000.294820998533 usercpu_time_millis 7019.678749999002 usercpu_time_millis 7096.6141230019275 usercpu_time_millis 6693.349998997292 usercpu_time_millis_testing 43.721000001823995 usercpu_time_millis_testing 43.8266500023019 usercpu_time_millis_testing 43.04724900066503 usercpu_time_millis_testing 43.31740699853981 usercpu_time_millis_testing 47.81614400053513 usercpu_time_millis_testing 43.85830100000021 usercpu_time_millis_testing 43.527093999728095 usercpu_time_millis_testing 45.36928499874193 usercpu_time_millis_testing 45.29298600027687 usercpu_time_millis_testing 48.199474997090874 usercpu_time_millis_training 6785.063835999608 usercpu_time_millis_training 6710.708927999804 usercpu_time_millis_training 6721.86076700018 usercpu_time_millis_training 6797.316076001152 usercpu_time_millis_training 6971.3385489994835 usercpu_time_millis_training 7040.0620060026995 usercpu_time_millis_training 6956.767726998805 usercpu_time_millis_training 6974.30946500026 usercpu_time_millis_training 7051.321137001651 usercpu_time_millis_training 6645.150524000201