4805776 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) 2841279 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 29526.716070556973 6953 cache_size 200 6953 class_weight null 6953 coef0 0.8783304788326982 6953 decision_function_shape null 6953 degree 3 6953 gamma 5.350961439827518 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 26046 6953 shrinking false 6953 tol 0.02458332725758821 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 10545759 description https://api.openml.org/data/download/10545759/description.xml -1 10545760 predictions https://api.openml.org/data/download/10545760/predictions.arff area_under_roc_curve 0.8018966666666668 [0.999697,0.680997,0.953403,0.725339,0.615714,0.615375,0.798233,0.884753,0.959306,0.78615] average_cost 0 kappa 0.2966666666666667 kb_relative_information_score 366.745855727748 mean_absolute_error 0.1646268763676538 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.36700000000000005 prior_entropy 3.321928094887362 recall 0.367 [0.965,0.045,0.645,0.535,0.19,0,0.3,0,0.935,0.055] relative_absolute_error 0.9145937575980486 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.282368836933045 root_relative_squared_error 0.9412294564434689 total_cost 0 area_under_roc_curve 0.8286388888888888 [0.999722,0.817222,0.933333,0.839167,0.6725,0.554167,0.854444,0.9075,0.960278,0.748056] area_under_roc_curve 0.7950833333333333 [1,0.6825,0.971944,0.748611,0.629167,0.595,0.78,0.843056,0.926944,0.773611] area_under_roc_curve 0.8010277777777778 [0.999444,0.668611,0.974444,0.673333,0.563611,0.711389,0.718889,0.874444,0.992778,0.833333] area_under_roc_curve 0.7855 [0.999167,0.542778,0.955,0.759722,0.507778,0.628611,0.818333,0.888333,0.937222,0.818056] area_under_roc_curve 0.7954444444444444 [0.999722,0.533889,0.945556,0.733056,0.636111,0.562222,0.839444,0.910556,0.973056,0.820833] area_under_roc_curve 0.8246111111111112 [0.999444,0.75,0.976944,0.7375,0.606389,0.643889,0.835278,0.913889,0.989167,0.793611] area_under_roc_curve 0.8153611111111111 [0.999444,0.675833,0.975556,0.758611,0.581111,0.685833,0.78,0.921944,0.973056,0.802222] area_under_roc_curve 0.8124722222222222 [1,0.75,0.975278,0.656667,0.654722,0.510278,0.814722,0.926389,0.970833,0.865833] area_under_roc_curve 0.8039722222222223 [1,0.616944,0.974722,0.767778,0.594444,0.598333,0.807222,0.872222,0.975278,0.832778] area_under_roc_curve 0.8118611111111109 [1,0.794444,0.941111,0.743333,0.623611,0.647778,0.861667,0.895,0.908056,0.703611] 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 kappa 0.32777777777777783 kappa 0.29444444444444445 kappa 0.3055555555555556 kappa 0.2888888888888889 kappa 0.27777777777777773 kappa 0.29444444444444445 kappa 0.2611111111111111 kappa 0.29444444444444445 kappa 0.32777777777777783 kappa 0.29444444444444445 kb_relative_information_score 36.1991780670545 kb_relative_information_score 36.6105149437014 kb_relative_information_score 36.737479550236124 kb_relative_information_score 33.57461239363261 kb_relative_information_score 35.68777345863112 kb_relative_information_score 38.5917358094432 kb_relative_information_score 37.24573505809906 kb_relative_information_score 36.70750215714158 kb_relative_information_score 37.96843108834666 kb_relative_information_score 37.422893201461505 mean_absolute_error 0.16534561513906534 mean_absolute_error 0.1646187532607675 mean_absolute_error 0.16465038276124677 mean_absolute_error 0.16700446243780198 mean_absolute_error 0.16568490352497078 mean_absolute_error 0.1628817480920505 mean_absolute_error 0.16361756414472756 mean_absolute_error 0.16485356245080163 mean_absolute_error 0.16332180106207983 mean_absolute_error 0.16428997080302576 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] predictive_accuracy 0.395 predictive_accuracy 0.365 predictive_accuracy 0.375 predictive_accuracy 0.36 predictive_accuracy 0.35 predictive_accuracy 0.365 predictive_accuracy 0.335 predictive_accuracy 0.365 predictive_accuracy 0.395 predictive_accuracy 0.365 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 0.395 [1,0.05,0.7,0.6,0.05,0,0.65,0,0.9,0] recall 0.365 [1,0.05,0.5,0.65,0.05,0,0.2,0,0.95,0.25] recall 0.375 [0.9,0.05,0.75,0.3,0.5,0,0.1,0,1,0.15] recall 0.36 [1,0.1,0.65,0.4,0.35,0,0.25,0,0.85,0] recall 0.35 [1,0.15,0.6,0.5,0.05,0,0.3,0,0.9,0] recall 0.365 [0.95,0,0.6,0.3,0.45,0,0.4,0,0.95,0] recall 0.335 [0.85,0,0.4,0.75,0,0,0.4,0,0.95,0] recall 0.365 [0.95,0,0.75,0.7,0,0,0.25,0,0.95,0.05] recall 0.395 [1,0,0.8,0.5,0.45,0,0.1,0,1,0.1] recall 0.365 [1,0.05,0.7,0.65,0,0,0.35,0,0.9,0] relative_absolute_error 0.9185867507725862 relative_absolute_error 0.9145486292264872 relative_absolute_error 0.9147243486735941 relative_absolute_error 0.927802569098901 relative_absolute_error 0.9204716862498388 relative_absolute_error 0.9048986005113926 relative_absolute_error 0.9089864674707095 relative_absolute_error 0.9158531247266767 relative_absolute_error 0.9073433392337777 relative_absolute_error 0.9127220600168109 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 0.2829083452973596 root_mean_squared_error 0.283641955177691 root_mean_squared_error 0.2810218974679226 root_mean_squared_error 0.2848213894191687 root_mean_squared_error 0.2831694130707005 root_mean_squared_error 0.27943603997978345 root_mean_squared_error 0.28245014275641944 root_mean_squared_error 0.28283656334002605 root_mean_squared_error 0.28238756597078546 root_mean_squared_error 0.2809776153855384 root_relative_squared_error 0.9430278176578659 root_relative_squared_error 0.9454731839256371 root_relative_squared_error 0.9367396582264094 root_relative_squared_error 0.9494046313972295 root_relative_squared_error 0.9438980435690021 root_relative_squared_error 0.9314534665992786 root_relative_squared_error 0.9415004758547321 root_relative_squared_error 0.942788544466754 root_relative_squared_error 0.9412918865692853 root_relative_squared_error 0.9365920512851286 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 23770.2569639996 usercpu_time_millis 19554.24564399982 usercpu_time_millis 18579.859843000122 usercpu_time_millis 23737.582057999134 usercpu_time_millis 22928.822573000616 usercpu_time_millis 18075.61282900042 usercpu_time_millis 18430.71165099991 usercpu_time_millis 18523.464934999538 usercpu_time_millis 19439.53810000039 usercpu_time_millis 22892.716388000736 usercpu_time_millis_testing 199.82922500003042 usercpu_time_millis_testing 157.6634439998088 usercpu_time_millis_testing 196.58534700010932 usercpu_time_millis_testing 199.51539399971807 usercpu_time_millis_testing 155.45261700026458 usercpu_time_millis_testing 155.95095100070466 usercpu_time_millis_testing 156.84172399960516 usercpu_time_millis_testing 159.11916499953804 usercpu_time_millis_testing 198.44891200045822 usercpu_time_millis_testing 158.59314200042718 usercpu_time_millis_training 23570.42773899957 usercpu_time_millis_training 19396.58220000001 usercpu_time_millis_training 18383.274496000013 usercpu_time_millis_training 23538.066663999416 usercpu_time_millis_training 22773.36995600035 usercpu_time_millis_training 17919.661877999715 usercpu_time_millis_training 18273.869927000305 usercpu_time_millis_training 18364.34577 usercpu_time_millis_training 19241.089187999933 usercpu_time_millis_training 22734.12324600031