8701130 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) 6678549 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 180.7417848141278 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.8908868283102147 7708 decision_function_shape null 7708 degree 3 7708 gamma 0.00197901048083973 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 37069 7708 shrinking true 7708 tol 0.0007355358032153369 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 18319167 description https://api.openml.org/data/download/18319167/description.xml -1 18319168 predictions https://api.openml.org/data/download/18319168/predictions.arff area_under_roc_curve 0.7333444444444445 [0.743067,0.778542,0.790367,0.811283,0.707206,0.758822,0.449231,0.813561,0.929506,0.551861] average_cost 0 kappa 0.1738888888888889 kb_relative_information_score 313.9588952473478 mean_absolute_error 0.16987190551383893 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.2565 prior_entropy 3.321928094887362 recall 0.2565 [0.555,0.135,0.225,0,0.015,0.05,0.17,0.415,0.935,0.065] relative_absolute_error 0.9437328084101873 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2909140637458613 root_relative_squared_error 0.9697135458195228 total_cost 0 area_under_roc_curve 0.7283055555555557 [0.716111,0.757222,0.780556,0.857778,0.779444,0.728889,0.575556,0.828056,0.92,0.339444] area_under_roc_curve 0.7313333333333333 [0.773889,0.762778,0.736389,0.858611,0.806944,0.6975,0.685833,0.788056,0.871389,0.331944] area_under_roc_curve 0.7191944444444445 [0.741667,0.757222,0.800556,0.790278,0.684444,0.776944,0.283056,0.7625,0.948056,0.647222] area_under_roc_curve 0.7416666666666666 [0.705833,0.827778,0.8475,0.779167,0.71,0.737778,0.561111,0.684722,0.906389,0.656389] area_under_roc_curve 0.7608333333333333 [0.783611,0.816667,0.773056,0.751944,0.716111,0.880833,0.436667,0.841389,0.941944,0.666111] area_under_roc_curve 0.7686944444444443 [0.774444,0.753056,0.909444,0.817222,0.675556,0.768333,0.464722,0.883056,0.964722,0.676389] area_under_roc_curve 0.731 [0.808611,0.825556,0.690278,0.871111,0.697778,0.633611,0.321667,0.903056,0.931389,0.626944] area_under_roc_curve 0.754111111111111 [0.777778,0.806944,0.791944,0.794722,0.638889,0.847778,0.391667,0.846111,0.949444,0.695833] area_under_roc_curve 0.7396944444444444 [0.763056,0.779722,0.771389,0.777778,0.715,0.837778,0.306944,0.801944,0.945278,0.698056] area_under_roc_curve 0.73125 [0.640833,0.798333,0.799444,0.866389,0.759167,0.839722,0.503611,0.851111,0.877222,0.376667] 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 0.1222222222222222 kappa 0.08888888888888888 kappa 0.16666666666666666 kappa 0.17222222222222222 kappa 0.19444444444444445 kappa 0.2833333333333333 kappa 0.16666666666666666 kappa 0.20555555555555552 kappa 0.18333333333333335 kappa 0.15555555555555553 kb_relative_information_score 29.74967041265989 kb_relative_information_score 29.203245791289707 kb_relative_information_score 30.330392091495682 kb_relative_information_score 31.20158046184947 kb_relative_information_score 32.90386745211993 kb_relative_information_score 37.17483506684563 kb_relative_information_score 31.322138754341037 kb_relative_information_score 32.41746629017937 kb_relative_information_score 31.161987058211288 kb_relative_information_score 28.493711868356254 mean_absolute_error 0.17027072466857 mean_absolute_error 0.17064295886904643 mean_absolute_error 0.17060769852119165 mean_absolute_error 0.17008254685031685 mean_absolute_error 0.1691246175440087 mean_absolute_error 0.16726042638868513 mean_absolute_error 0.16980419180281361 mean_absolute_error 0.16911915606639819 mean_absolute_error 0.17002452421388756 mean_absolute_error 0.17178221021347218 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 0.21 predictive_accuracy 0.18 predictive_accuracy 0.25 predictive_accuracy 0.255 predictive_accuracy 0.275 predictive_accuracy 0.355 predictive_accuracy 0.25 predictive_accuracy 0.285 predictive_accuracy 0.265 predictive_accuracy 0.24 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 0.21 [0.25,0.05,0.3,0,0,0.05,0,0.3,0.9,0.25] recall 0.18 [0.1,0.1,0.1,0,0.05,0.1,0,0.4,0.8,0.15] recall 0.25 [0.25,0.25,0.35,0,0.05,0.15,0.15,0.45,0.85,0] recall 0.255 [0.75,0.15,0.15,0,0,0,0.35,0.2,0.95,0] recall 0.275 [0.8,0.25,0.05,0,0,0,0.1,0.4,1,0.15] recall 0.355 [0.8,0.15,0.55,0,0,0.05,0.4,0.6,0.95,0.05] recall 0.25 [0.75,0.05,0.1,0,0,0,0.15,0.45,1,0] recall 0.285 [0.65,0.2,0.1,0,0,0.1,0.15,0.65,1,0] recall 0.265 [0.7,0.05,0.25,0,0.05,0.05,0.1,0.4,1,0.05] recall 0.24 [0.5,0.1,0.3,0,0,0,0.3,0.3,0.9,0] relative_absolute_error 0.9459484703809454 relative_absolute_error 0.94801643816137 relative_absolute_error 0.9478205473399547 relative_absolute_error 0.9449030380573169 relative_absolute_error 0.9395812085778271 relative_absolute_error 0.9292245910482518 relative_absolute_error 0.9433566211267435 relative_absolute_error 0.9395508670355466 relative_absolute_error 0.9445806900771543 relative_absolute_error 0.9543456122970686 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 0.2926757427527989 root_mean_squared_error 0.2927446924499489 root_mean_squared_error 0.29202002185478526 root_mean_squared_error 0.290732617647269 root_mean_squared_error 0.28959113444675744 root_mean_squared_error 0.2861652507577942 root_mean_squared_error 0.29090394767320654 root_mean_squared_error 0.28950272262773924 root_mean_squared_error 0.2905819895080041 root_mean_squared_error 0.29414593261015765 root_relative_squared_error 0.975585809175997 root_relative_squared_error 0.9758156414998302 root_relative_squared_error 0.9734000728492848 root_relative_squared_error 0.9691087254908972 root_relative_squared_error 0.9653037814891919 root_relative_squared_error 0.953884169192648 root_relative_squared_error 0.9696798255773557 root_relative_squared_error 0.9650090754257981 root_relative_squared_error 0.9686066316933477 root_relative_squared_error 0.9804864420338594 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 5349.160417998974 usercpu_time_millis 5714.16261899958 usercpu_time_millis 5527.404646999457 usercpu_time_millis 5395.038587999807 usercpu_time_millis 5506.816474999141 usercpu_time_millis 5420.659434000299 usercpu_time_millis 5432.32623699987 usercpu_time_millis 5463.938036999934 usercpu_time_millis 5407.396909999989 usercpu_time_millis 5367.120044999865 usercpu_time_millis_testing 56.892312999480055 usercpu_time_millis_testing 56.059653000374965 usercpu_time_millis_testing 57.05046099956235 usercpu_time_millis_testing 58.79329700019298 usercpu_time_millis_testing 55.81782999979623 usercpu_time_millis_testing 56.669549000616826 usercpu_time_millis_testing 55.41306200029794 usercpu_time_millis_testing 59.71108599987929 usercpu_time_millis_testing 55.77208199974848 usercpu_time_millis_testing 55.409978999705345 usercpu_time_millis_training 5292.2681049994935 usercpu_time_millis_training 5658.1029659992055 usercpu_time_millis_training 5470.354185999895 usercpu_time_millis_training 5336.245290999614 usercpu_time_millis_training 5450.998644999345 usercpu_time_millis_training 5363.9898849996825 usercpu_time_millis_training 5376.913174999572 usercpu_time_millis_training 5404.226951000055 usercpu_time_millis_training 5351.62482800024 usercpu_time_millis_training 5311.71006600016