5024533 1 Jan van Rijn 14 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 3059930 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 C 6091.976608704694 6953 cache_size 200 6953 class_weight null 6953 coef0 0.041597232373098425 6953 decision_function_shape null 6953 degree 5 6953 gamma 4.522011926198289 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 56661 6953 shrinking false 6953 tol 0.0009586303854993964 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 10982778 description https://api.openml.org/data/download/10982778/description.xml -1 10982777 predictions https://api.openml.org/data/download/10982777/predictions.arff area_under_roc_curve 0.9855777777777778 [0.999992,0.977981,0.994806,0.992719,0.980775,0.996042,0.960572,0.994356,0.998856,0.959681] average_cost 0 f_measure 0.8641375510988208 [0.992519,0.843672,0.962025,0.924242,0.865285,0.942643,0.616541,0.910412,0.975124,0.608911] kappa 0.8488888888888889 kb_relative_information_score 1674.9110804229726 mean_absolute_error 0.04834692565936991 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8647626354880195 [0.99005,0.837438,0.974359,0.933673,0.897849,0.940299,0.61809,0.882629,0.970297,0.602941] predictive_accuracy 0.8640000000000001 prior_entropy 3.321928094887362 recall 0.864 [0.995,0.85,0.95,0.915,0.835,0.945,0.615,0.94,0.98,0.615] relative_absolute_error 0.26859403144093563 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1413170593973234 root_relative_squared_error 0.4710568646577374 total_cost 0 area_under_roc_curve 0.9897222222222223 [1,0.985556,0.999444,0.995833,0.995278,1,0.955,0.997222,1,0.968889] area_under_roc_curve 0.9890000000000001 [1,0.981667,0.9975,0.992778,0.993333,0.986944,0.97,0.996667,0.999722,0.971389] area_under_roc_curve 0.9815555555555556 [1,0.978333,1,0.966111,0.9925,0.9975,0.934722,0.993889,1,0.9525] area_under_roc_curve 0.9953333333333333 [1,0.996389,0.999722,1,0.996944,0.998889,0.991389,1,0.996111,0.973889] area_under_roc_curve 0.9820555555555557 [1,0.925833,0.998056,0.985556,0.994722,0.998611,0.965,0.991944,1,0.960833] area_under_roc_curve 0.9851666666666666 [1,0.9725,0.999167,0.993611,0.971944,0.996667,0.966389,0.994167,1,0.957222] area_under_roc_curve 0.9861388888888888 [1,0.988333,0.964444,0.999167,0.983611,0.997778,0.974722,0.9925,1,0.960833] area_under_roc_curve 0.9871388888888889 [1,0.982222,0.9975,0.998611,0.975278,0.998056,0.962778,0.991111,0.998611,0.967222] area_under_roc_curve 0.9864444444444445 [1,0.9825,1,0.996667,0.997778,0.988333,0.953611,0.997778,1,0.947778] area_under_roc_curve 0.9773611111111111 [1,0.988056,0.991667,0.999444,0.923056,0.999722,0.941944,0.990278,0.994167,0.945278] 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 0.8441915512968143 [0.974359,0.844444,0.95,0.918919,0.857143,0.974359,0.564103,0.842105,0.952381,0.564103] f_measure 0.8765129521740562 [1,0.85,0.923077,0.947368,0.926829,0.9,0.65,0.926829,0.974359,0.666667] f_measure 0.8404107578497824 [1,0.780488,0.974359,0.918919,0.844444,0.9,0.512821,0.923077,1,0.55] f_measure 0.9215949648763035 [1,0.95,0.974359,0.97561,0.9,0.923077,0.8,0.974359,0.974359,0.744186] f_measure 0.8267847328822938 [0.97561,0.769231,0.974359,0.820513,0.8,0.952381,0.514286,0.863636,0.97561,0.622222] f_measure 0.8729085384899339 [1,0.85,0.95,0.871795,0.857143,0.930233,0.711111,0.930233,1,0.628571] f_measure 0.8836525665973078 [1,0.820513,0.947368,0.930233,0.894737,0.974359,0.717949,0.909091,0.97561,0.666667] f_measure 0.8895362232974555 [1,0.894737,0.97561,0.926829,0.871795,0.974359,0.666667,0.926829,0.97561,0.682927] f_measure 0.8595548694508303 [1,0.842105,1,0.952381,0.888889,0.95,0.486486,0.930233,1,0.545455] f_measure 0.8198931755670515 [0.97561,0.837209,0.95,0.974359,0.8,0.95,0.521739,0.878049,0.923077,0.388889] kappa 0.8277777777777777 kappa 0.8611111111111112 kappa 0.8222222222222222 kappa 0.9111111111111112 kappa 0.8111111111111111 kappa 0.8611111111111112 kappa 0.8722222222222222 kappa 0.8777777777777778 kappa 0.8444444444444444 kappa 0.7999999999999999 kb_relative_information_score 168.59880691298696 kb_relative_information_score 167.55234451415697 kb_relative_information_score 165.528549566378 kb_relative_information_score 172.93970361581268 kb_relative_information_score 163.31739126331126 kb_relative_information_score 166.88329761691332 kb_relative_information_score 167.46670623851765 kb_relative_information_score 168.2625608195914 kb_relative_information_score 170.0688901988616 kb_relative_information_score 164.29282967644514 mean_absolute_error 0.04771160367209668 mean_absolute_error 0.04973474209966985 mean_absolute_error 0.050622531573003754 mean_absolute_error 0.043672104066944856 mean_absolute_error 0.05233412191866367 mean_absolute_error 0.048284915794986054 mean_absolute_error 0.048267238621223084 mean_absolute_error 0.04827446069855756 mean_absolute_error 0.044042738085578924 mean_absolute_error 0.0505248000629744 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 0.8484056353003722 [1,0.76,0.95,1,0.818182,1,0.578947,0.888889,0.909091,0.578947] precision 0.8793255866940077 [1,0.85,0.947368,1,0.904762,0.9,0.65,0.904762,1,0.636364] precision 0.8445588972431078 [1,0.761905,1,1,0.76,0.9,0.526316,0.947368,1,0.55] precision 0.9245401547346629 [1,0.95,1,0.952381,0.9,0.947368,0.8,1,1,0.695652] precision 0.8330431761221234 [0.952381,0.789474,1,0.842105,0.933333,0.909091,0.6,0.791667,0.952381,0.56] precision 0.8807200610221204 [1,0.85,0.95,0.894737,1,0.869565,0.64,0.869565,1,0.733333] precision 0.8862881842286875 [1,0.842105,1,0.869565,0.944444,1,0.736842,0.833333,0.952381,0.684211] precision 0.8904344193817877 [1,0.944444,0.952381,0.904762,0.894737,1,0.684211,0.904762,0.952381,0.666667] precision 0.8646956780076985 [1,0.888889,1,0.909091,1,0.95,0.529412,0.869565,1,0.5] precision 0.8271872721100411 [0.952381,0.782609,0.95,1,0.933333,0.95,0.461538,0.857143,0.947368,0.4375] predictive_accuracy 0.845 predictive_accuracy 0.875 predictive_accuracy 0.84 predictive_accuracy 0.92 predictive_accuracy 0.83 predictive_accuracy 0.875 predictive_accuracy 0.885 predictive_accuracy 0.89 predictive_accuracy 0.86 predictive_accuracy 0.82 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 0.845 [0.95,0.95,0.95,0.85,0.9,0.95,0.55,0.8,1,0.55] recall 0.875 [1,0.85,0.9,0.9,0.95,0.9,0.65,0.95,0.95,0.7] recall 0.84 [1,0.8,0.95,0.85,0.95,0.9,0.5,0.9,1,0.55] recall 0.92 [1,0.95,0.95,1,0.9,0.9,0.8,0.95,0.95,0.8] recall 0.83 [1,0.75,0.95,0.8,0.7,1,0.45,0.95,1,0.7] recall 0.875 [1,0.85,0.95,0.85,0.75,1,0.8,1,1,0.55] recall 0.885 [1,0.8,0.9,1,0.85,0.95,0.7,1,1,0.65] recall 0.89 [1,0.85,1,0.95,0.85,0.95,0.65,0.95,1,0.7] recall 0.86 [1,0.8,1,1,0.8,0.95,0.45,1,1,0.6] recall 0.82 [1,0.9,0.95,0.95,0.7,0.95,0.6,0.9,0.9,0.35] relative_absolute_error 0.26506446484498186 relative_absolute_error 0.2763041227759439 relative_absolute_error 0.28123628651668786 relative_absolute_error 0.2426228003719161 relative_absolute_error 0.290745121770354 relative_absolute_error 0.26824953219436726 relative_absolute_error 0.26815132567346184 relative_absolute_error 0.26819144832532005 relative_absolute_error 0.24468187825321652 relative_absolute_error 0.28069333368319144 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 0.1374597721561231 root_mean_squared_error 0.14211543797943857 root_mean_squared_error 0.14553010999375504 root_mean_squared_error 0.12284324920973451 root_mean_squared_error 0.1523968715507699 root_mean_squared_error 0.14052289359249473 root_mean_squared_error 0.14041733739224277 root_mean_squared_error 0.14166326808741803 root_mean_squared_error 0.1365177556205881 root_mean_squared_error 0.15149109365002036 root_relative_squared_error 0.4581992405204106 root_relative_squared_error 0.4737181265981289 root_relative_squared_error 0.48510036664585043 root_relative_squared_error 0.4094774973657819 root_relative_squared_error 0.5079895718359 root_relative_squared_error 0.4684096453083161 root_relative_squared_error 0.46805779130747616 root_relative_squared_error 0.472210893624727 root_relative_squared_error 0.45505918540196055 root_relative_squared_error 0.5049703121667348 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 18871.08413099986 usercpu_time_millis 19033.207383999525 usercpu_time_millis 18873.109446999933 usercpu_time_millis 16364.08294100056 usercpu_time_millis 13382.921662999706 usercpu_time_millis 13890.175611999894 usercpu_time_millis 13083.236912000302 usercpu_time_millis 13033.569082000213 usercpu_time_millis 13376.179851000416 usercpu_time_millis 13331.491294999978 usercpu_time_millis_testing 70.35243099971922 usercpu_time_millis_testing 70.86581499970634 usercpu_time_millis_testing 68.40018899993083 usercpu_time_millis_testing 59.72885600021982 usercpu_time_millis_testing 49.27509999970425 usercpu_time_millis_testing 49.99547099987467 usercpu_time_millis_testing 51.385049000145955 usercpu_time_millis_testing 47.073272000034194 usercpu_time_millis_testing 46.07770900020114 usercpu_time_millis_testing 46.76519800023016 usercpu_time_millis_training 18800.731700000142 usercpu_time_millis_training 18962.34156899982 usercpu_time_millis_training 18804.709258000003 usercpu_time_millis_training 16304.354085000341 usercpu_time_millis_training 13333.646563000002 usercpu_time_millis_training 13840.180141000019 usercpu_time_millis_training 13031.851863000156 usercpu_time_millis_training 12986.495810000179 usercpu_time_millis_training 13330.102142000214 usercpu_time_millis_training 13284.726096999748