6015672 1 Jan van Rijn 14 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4050361 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.4148942383760593 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 11 6902 min_samples_split 11 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 23398 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 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 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12954475 description https://api.openml.org/data/download/12954475/description.xml -1 12954476 predictions https://api.openml.org/data/download/12954476/predictions.arff area_under_roc_curve 0.981796388888889 [0.999983,0.975117,0.995989,0.990961,0.975003,0.993944,0.948164,0.991931,0.997992,0.948881] average_cost 0 f_measure 0.821790542244556 [0.990099,0.767677,0.942928,0.878788,0.779841,0.893827,0.552239,0.876777,0.956522,0.579208] kappa 0.8022222222222222 kb_relative_information_score 1555.8282413545758 mean_absolute_error 0.06383547242327668 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8228478645178888 [0.980392,0.77551,0.935961,0.887755,0.830508,0.882927,0.549505,0.833333,0.979058,0.573529] predictive_accuracy 0.8220000000000001 prior_entropy 3.321928094887362 recall 0.822 [1,0.76,0.95,0.87,0.735,0.905,0.555,0.925,0.935,0.585] relative_absolute_error 0.35464151346263734 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1615444958385413 root_relative_squared_error 0.5384816527951295 total_cost 0 area_under_roc_curve 0.9811666666666667 [1,0.977778,0.993333,0.994722,0.970278,1,0.929722,0.991389,0.997222,0.957222] area_under_roc_curve 0.9799722222222222 [0.999722,0.979167,0.995278,0.986389,0.963889,0.989722,0.950833,0.988611,0.996667,0.949444] area_under_roc_curve 0.97775 [1,0.978889,0.999722,0.979167,0.978333,0.993889,0.908056,0.992222,1,0.947222] area_under_roc_curve 0.9875 [1,0.980278,0.993333,0.994722,0.989722,0.995833,0.978333,0.995278,0.999722,0.947778] area_under_roc_curve 0.9848055555555554 [1,0.968611,0.998611,0.994722,0.993889,0.995,0.960833,0.990556,1,0.945833] area_under_roc_curve 0.9856111111111112 [1,0.976944,1,0.987778,0.994722,0.992778,0.955833,0.994444,0.998889,0.954722] area_under_roc_curve 0.9828055555555555 [1,0.974167,0.995278,0.995833,0.981667,0.985,0.970278,0.988611,1,0.937222] area_under_roc_curve 0.9826111111111111 [1,0.970833,0.998333,0.989722,0.958333,0.9975,0.958611,0.994722,0.9925,0.965556] area_under_roc_curve 0.9811944444444444 [1,0.972778,0.999722,0.998333,0.971667,0.991667,0.94,0.994167,1,0.943611] area_under_roc_curve 0.9765 [1,0.974444,0.990833,0.986111,0.956389,0.997778,0.927222,0.993333,0.996111,0.942778] 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 0.8244352364378038 [0.97561,0.772727,0.926829,0.918919,0.780488,0.974359,0.457143,0.9,0.947368,0.590909] f_measure 0.7992241145923564 [0.97561,0.769231,0.9,0.871795,0.685714,0.790698,0.578947,0.809524,0.974359,0.636364] f_measure 0.7915442917035597 [1,0.714286,0.947368,0.736842,0.736842,0.878049,0.45,0.871795,0.97561,0.604651] f_measure 0.8347487539651341 [1,0.756757,0.974359,0.883721,0.73913,0.9,0.648649,0.820513,0.974359,0.65] f_measure 0.8151372562295149 [1,0.722222,0.974359,0.904762,0.727273,0.909091,0.571429,0.826087,0.97561,0.540541] f_measure 0.850732538401285 [1,0.820513,0.952381,0.85,0.871795,0.878049,0.682927,0.930233,0.95,0.571429] f_measure 0.8496013272136507 [1,0.809524,0.947368,0.9,0.833333,0.878049,0.7,0.863636,1,0.564103] f_measure 0.8325833474279604 [1,0.731707,0.97561,0.871795,0.777778,0.894737,0.590909,0.930233,0.918919,0.634146] f_measure 0.8369962769962771 [1,0.8,0.952381,0.952381,0.810811,0.923077,0.444444,0.909091,1,0.577778] f_measure 0.7797036225080954 [0.952381,0.780488,0.883721,0.888889,0.833333,0.923077,0.408163,0.904762,0.833333,0.388889] kappa 0.8055555555555555 kappa 0.7777777777777778 kappa 0.7666666666666667 kappa 0.8166666666666667 kappa 0.7999999999999999 kappa 0.8388888888888889 kappa 0.8333333333333333 kappa 0.8111111111111111 kappa 0.8222222222222222 kappa 0.75 kb_relative_information_score 154.67454372781137 kb_relative_information_score 152.9430214376083 kb_relative_information_score 152.82884870114356 kb_relative_information_score 158.58367072245827 kb_relative_information_score 155.69310653230525 kb_relative_information_score 157.82026709712724 kb_relative_information_score 155.87305818956776 kb_relative_information_score 156.13811354781714 kb_relative_information_score 158.8704698354967 kb_relative_information_score 152.4031415632396 mean_absolute_error 0.06515979822202761 mean_absolute_error 0.06578501063780004 mean_absolute_error 0.06559065698598875 mean_absolute_error 0.06136005848735072 mean_absolute_error 0.06463847168745343 mean_absolute_error 0.0617605785034129 mean_absolute_error 0.06432150648426883 mean_absolute_error 0.06330476224226932 mean_absolute_error 0.0605388319972953 mean_absolute_error 0.06589504898490024 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 0.8302380952380953 [0.952381,0.708333,0.904762,1,0.761905,1,0.533333,0.9,1,0.541667] precision 0.8042893630651067 [0.952381,0.789474,0.9,0.894737,0.8,0.73913,0.611111,0.772727,1,0.583333] precision 0.7956851780307157 [1,0.681818,1,0.777778,0.777778,0.857143,0.45,0.894737,0.952381,0.565217] precision 0.8401450138231671 [1,0.823529,1,0.826087,0.653846,0.9,0.705882,0.842105,1,0.65] precision 0.8249386642768997 [1,0.8125,1,0.863636,0.923077,0.833333,0.545455,0.730769,0.952381,0.588235] precision 0.8505974422221562 [1,0.842105,0.909091,0.85,0.894737,0.857143,0.666667,0.869565,0.95,0.666667] precision 0.8537984164957848 [1,0.772727,1,0.9,0.9375,0.857143,0.7,0.791667,1,0.578947] precision 0.8411127456321964 [1,0.714286,0.952381,0.894737,0.875,0.944444,0.541667,0.869565,1,0.619048] precision 0.8434569847077588 [1,0.933333,0.909091,0.909091,0.882353,0.947368,0.5,0.833333,1,0.52] precision 0.7965414998413302 [0.909091,0.761905,0.826087,1,0.9375,0.947368,0.344828,0.863636,0.9375,0.4375] predictive_accuracy 0.825 predictive_accuracy 0.8 predictive_accuracy 0.79 predictive_accuracy 0.835 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.85 predictive_accuracy 0.83 predictive_accuracy 0.84 predictive_accuracy 0.775 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 0.825 [1,0.85,0.95,0.85,0.8,0.95,0.4,0.9,0.9,0.65] recall 0.8 [1,0.75,0.9,0.85,0.6,0.85,0.55,0.85,0.95,0.7] recall 0.79 [1,0.75,0.9,0.7,0.7,0.9,0.45,0.85,1,0.65] recall 0.835 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.8,0.95,0.65] recall 0.82 [1,0.65,0.95,0.95,0.6,1,0.6,0.95,1,0.5] recall 0.855 [1,0.8,1,0.85,0.85,0.9,0.7,1,0.95,0.5] recall 0.85 [1,0.85,0.9,0.9,0.75,0.9,0.7,0.95,1,0.55] recall 0.83 [1,0.75,1,0.85,0.7,0.85,0.65,1,0.85,0.65] recall 0.84 [1,0.7,1,1,0.75,0.9,0.4,1,1,0.65] recall 0.775 [1,0.8,0.95,0.8,0.75,0.9,0.5,0.95,0.75,0.35] relative_absolute_error 0.3619988790112649 relative_absolute_error 0.3654722813211117 relative_absolute_error 0.36439253881104894 relative_absolute_error 0.3408892138186155 relative_absolute_error 0.3591026204858528 relative_absolute_error 0.34311432501896094 relative_absolute_error 0.3573417026903828 relative_absolute_error 0.3516931235681633 relative_absolute_error 0.33632684442941874 relative_absolute_error 0.36608360547166846 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 0.16388591473427122 root_mean_squared_error 0.1695117638376244 root_mean_squared_error 0.16914506951326969 root_mean_squared_error 0.15380109943339854 root_mean_squared_error 0.1613946631783318 root_mean_squared_error 0.15519412748877695 root_mean_squared_error 0.16076838914567682 root_mean_squared_error 0.15937368053455864 root_mean_squared_error 0.15380631419865134 root_mean_squared_error 0.16754789079433638 root_relative_squared_error 0.5462863824475711 root_relative_squared_error 0.5650392127920817 root_relative_squared_error 0.563816898377566 root_relative_squared_error 0.5126703314446621 root_relative_squared_error 0.5379822105944396 root_relative_squared_error 0.5173137582959234 root_relative_squared_error 0.5358946304855897 root_relative_squared_error 0.5312456017818624 root_relative_squared_error 0.5126877139955047 root_relative_squared_error 0.5584929693144549 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 6864.152132000016 usercpu_time_millis 6863.820557999987 usercpu_time_millis 6867.952164999962 usercpu_time_millis 6942.835053999943 usercpu_time_millis 6696.650148000061 usercpu_time_millis 7491.8081980000015 usercpu_time_millis 6895.755688000066 usercpu_time_millis 6757.194449000053 usercpu_time_millis 6769.700432000036 usercpu_time_millis 6841.288703999965 usercpu_time_millis_testing 21.93622099997583 usercpu_time_millis_testing 21.965344999955505 usercpu_time_millis_testing 22.01508999996804 usercpu_time_millis_testing 23.66005299995777 usercpu_time_millis_testing 21.66470100002016 usercpu_time_millis_testing 22.973856000021442 usercpu_time_millis_testing 24.951447000034932 usercpu_time_millis_testing 22.170159000040712 usercpu_time_millis_testing 22.822708000035163 usercpu_time_millis_testing 21.928559999992103 usercpu_time_millis_training 6842.215911000039 usercpu_time_millis_training 6841.855213000031 usercpu_time_millis_training 6845.937074999994 usercpu_time_millis_training 6919.175000999985 usercpu_time_millis_training 6674.98544700004 usercpu_time_millis_training 7468.83434199998 usercpu_time_millis_training 6870.804241000031 usercpu_time_millis_training 6735.024290000012 usercpu_time_millis_training 6746.877724000001 usercpu_time_millis_training 6819.360143999973