5957814 1 Jan van Rijn 14 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 3992555 class_weight null 6941 criterion "gini" 6941 max_depth 5 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 10868 6941 splitter "best" 6941 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 algorithm "SAMME" 6971 learning_rate 0.03200008126225316 6971 n_estimators 88 6971 random_state 52503 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12839057 description https://api.openml.org/data/download/12839057/description.xml -1 12839058 predictions https://api.openml.org/data/download/12839058/predictions.arff area_under_roc_curve 0.9782383333333333 [0.999964,0.96196,0.995392,0.987167,0.973789,0.991997,0.943601,0.991537,0.998414,0.938562] average_cost 0 f_measure 0.8221813121663475 [0.984925,0.780856,0.945274,0.879397,0.784,0.907731,0.556098,0.87886,0.934673,0.57] kappa 0.8022222222222222 kb_relative_information_score 41.0434212913848 mean_absolute_error 0.17902779467677035 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.823596125506536 [0.989899,0.786802,0.940594,0.883838,0.84,0.905473,0.542857,0.837104,0.939394,0.57] predictive_accuracy 0.8220000000000001 prior_entropy 3.321928094887362 recall 0.822 [0.98,0.775,0.95,0.875,0.735,0.91,0.57,0.925,0.93,0.57] relative_absolute_error 0.9945988593153602 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2983820539012254 root_relative_squared_error 0.9946068463374027 total_cost 0 area_under_roc_curve 0.9771944444444445 [1,0.966667,0.996111,0.994444,0.960556,1,0.916944,0.990278,0.999167,0.947778] area_under_roc_curve 0.9811111111111112 [0.999722,0.975556,0.998333,0.988333,0.967778,0.99,0.951111,0.993611,0.999167,0.9475] area_under_roc_curve 0.9739999999999999 [1,0.960556,1,0.953056,0.978056,0.993056,0.925278,0.991111,1,0.938889] area_under_roc_curve 0.9833333333333333 [1,0.973333,0.996667,0.996111,0.988889,0.994167,0.97,0.987778,1,0.926389] area_under_roc_curve 0.9789722222222222 [1,0.971944,0.993889,0.995,0.968333,0.993889,0.946944,0.993611,0.999722,0.926389] area_under_roc_curve 0.9837222222222222 [1,0.974722,1,0.994167,0.981667,0.990278,0.949722,0.991111,0.999167,0.956389] area_under_roc_curve 0.9817777777777776 [1,0.971389,0.995278,0.995278,0.988889,0.989167,0.97125,0.989167,0.999722,0.917639] area_under_roc_curve 0.9768611111111111 [1,0.944861,0.9975,0.981667,0.963889,0.994167,0.94375,0.995139,0.993611,0.954028] area_under_roc_curve 0.9754722222222222 [1,0.934444,0.998611,0.996667,0.974167,0.980833,0.949722,0.994167,1,0.926111] area_under_roc_curve 0.9741111111111111 [1,0.951667,0.981111,0.979722,0.9725,0.995556,0.908194,0.994167,0.992778,0.965417] 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 0.8109514057395957 [1,0.772727,0.926829,0.894737,0.731707,0.947368,0.52381,0.871795,0.9,0.540541] f_measure 0.8123153162626848 [0.974359,0.85,0.95,0.871795,0.606061,0.857143,0.578947,0.818182,0.95,0.666667] f_measure 0.7984742891047932 [1,0.744186,0.974359,0.833333,0.818182,0.918919,0.439024,0.842105,0.97561,0.439024] f_measure 0.8393725344688118 [0.974359,0.722222,0.926829,0.863636,0.8,0.923077,0.684211,0.842105,0.974359,0.682927] f_measure 0.8088788062600643 [1,0.736842,0.947368,0.926829,0.742857,0.909091,0.487805,0.863636,0.974359,0.5] f_measure 0.861936621068569 [1,0.85,1,0.878049,0.823529,0.904762,0.68,0.952381,0.95,0.580645] f_measure 0.8396320369426915 [0.974359,0.780488,0.918919,0.878049,0.918919,0.904762,0.631579,0.863636,0.97561,0.55] f_measure 0.8050138821948238 [0.974359,0.7,0.97561,0.85,0.756757,0.864865,0.55,0.930233,0.829268,0.619048] f_measure 0.8491547347815853 [1,0.857143,0.952381,0.926829,0.823529,0.926829,0.5,0.909091,1,0.595745] f_measure 0.7902004239820216 [0.952381,0.8,0.883721,0.864865,0.8,0.923077,0.478261,0.888889,0.810811,0.5] kappa 0.788888888888889 kappa 0.7944444444444444 kappa 0.7722222222222223 kappa 0.8222222222222222 kappa 0.788888888888889 kappa 0.85 kappa 0.8222222222222222 kappa 0.7833333333333334 kappa 0.8333333333333333 kappa 0.7666666666666667 kb_relative_information_score 4.073002030690687 kb_relative_information_score 4.120811682824369 kb_relative_information_score 3.9833866456736406 kb_relative_information_score 4.217142892701487 kb_relative_information_score 4.122753204969787 kb_relative_information_score 4.193529236802566 kb_relative_information_score 4.062075568182493 kb_relative_information_score 3.970583122073271 kb_relative_information_score 4.221078726873822 kb_relative_information_score 4.079058180592651 mean_absolute_error 0.1790356037078487 mean_absolute_error 0.17902273464711616 mean_absolute_error 0.179057888581058 mean_absolute_error 0.17900052452088844 mean_absolute_error 0.17902322680030455 mean_absolute_error 0.1790053978429895 mean_absolute_error 0.17903830920661412 mean_absolute_error 0.17905955835252807 mean_absolute_error 0.1790008653378432 mean_absolute_error 0.17903383777051918 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 0.8154797533048307 [1,0.708333,0.904762,0.944444,0.714286,1,0.5,0.894737,0.9,0.588235] precision 0.8193260540628962 [1,0.85,0.95,0.894737,0.769231,0.818182,0.611111,0.75,0.95,0.6] precision 0.8081564872325743 [1,0.695652,1,0.9375,0.75,1,0.428571,0.888889,0.952381,0.428571] precision 0.8454074770258981 [1,0.8125,0.904762,0.791667,0.72,0.947368,0.722222,0.888889,1,0.666667] precision 0.8150396825396825 [1,0.777778,1,0.904762,0.866667,0.833333,0.47619,0.791667,1,0.5] precision 0.8814718614718615 [1,0.85,1,0.857143,1,0.863636,0.566667,0.909091,0.95,0.818182] precision 0.8443398268398268 [1,0.761905,1,0.857143,1,0.863636,0.666667,0.791667,0.952381,0.55] precision 0.8087084952558098 [1,0.7,0.952381,0.85,0.823529,0.941176,0.55,0.869565,0.809524,0.590909] precision 0.863296657046657 [1,1,0.909091,0.904762,1,0.904762,0.5625,0.833333,1,0.518519] precision 0.8024985954840242 [0.909091,0.8,0.826087,0.941176,0.933333,0.947368,0.423077,0.8,0.882353,0.5625] predictive_accuracy 0.81 predictive_accuracy 0.815 predictive_accuracy 0.795 predictive_accuracy 0.84 predictive_accuracy 0.81 predictive_accuracy 0.865 predictive_accuracy 0.84 predictive_accuracy 0.805 predictive_accuracy 0.85 predictive_accuracy 0.79 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 0.81 [1,0.85,0.95,0.85,0.75,0.9,0.55,0.85,0.9,0.5] recall 0.815 [0.95,0.85,0.95,0.85,0.5,0.9,0.55,0.9,0.95,0.75] recall 0.795 [1,0.8,0.95,0.75,0.9,0.85,0.45,0.8,1,0.45] recall 0.84 [0.95,0.65,0.95,0.95,0.9,0.9,0.65,0.8,0.95,0.7] recall 0.81 [1,0.7,0.9,0.95,0.65,1,0.5,0.95,0.95,0.5] recall 0.865 [1,0.85,1,0.9,0.7,0.95,0.85,1,0.95,0.45] recall 0.84 [0.95,0.8,0.85,0.9,0.85,0.95,0.6,0.95,1,0.55] recall 0.805 [0.95,0.7,1,0.85,0.7,0.8,0.55,1,0.85,0.65] recall 0.85 [1,0.75,1,0.95,0.7,0.95,0.45,1,1,0.7] recall 0.79 [1,0.8,0.95,0.8,0.7,0.9,0.55,1,0.75,0.45] relative_absolute_error 0.9946422428213828 relative_absolute_error 0.9945707480395353 relative_absolute_error 0.9947660476725456 relative_absolute_error 0.9944473584493813 relative_absolute_error 0.9945734822239153 relative_absolute_error 0.9944744324610538 relative_absolute_error 0.9946572733700796 relative_absolute_error 0.9947753241807127 relative_absolute_error 0.9944492518769078 relative_absolute_error 0.994632432058441 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 0.29839494313666703 root_mean_squared_error 0.2983737159180456 root_mean_squared_error 0.2984322210479572 root_mean_squared_error 0.29833650569235964 root_mean_squared_error 0.2983744367102329 root_mean_squared_error 0.2983445871828918 root_mean_squared_error 0.2983995675144475 root_mean_squared_error 0.29843508022461185 root_mean_squared_error 0.29833712114309835 root_mean_squared_error 0.2983923411175412 root_relative_squared_error 0.9946498104555574 root_relative_squared_error 0.9945790530601526 root_relative_squared_error 0.9947740701598579 root_relative_squared_error 0.9944550189745327 root_relative_squared_error 0.9945814557007769 root_relative_squared_error 0.9944819572763066 root_relative_squared_error 0.994665225048159 root_relative_squared_error 0.9947836007487068 root_relative_squared_error 0.9944570704769952 root_relative_squared_error 0.9946411370584712 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 7526.777924999999 usercpu_time_millis 7548.743614 usercpu_time_millis 7604.794874999996 usercpu_time_millis 7640.535733000004 usercpu_time_millis 7574.7692019999995 usercpu_time_millis 7656.221162000002 usercpu_time_millis 7593.084507999997 usercpu_time_millis 7753.408348 usercpu_time_millis 7788.775600000008 usercpu_time_millis 7802.011182000001 usercpu_time_millis_testing 12.847658000000095 usercpu_time_millis_testing 12.855522999998925 usercpu_time_millis_testing 12.968827999998211 usercpu_time_millis_testing 13.126487000000964 usercpu_time_millis_testing 12.952385999994931 usercpu_time_millis_testing 12.915216999999757 usercpu_time_millis_testing 13.056989999995494 usercpu_time_millis_testing 12.966425999998421 usercpu_time_millis_testing 13.136392000006936 usercpu_time_millis_testing 13.18409499999973 usercpu_time_millis_training 7513.930267 usercpu_time_millis_training 7535.888091000001 usercpu_time_millis_training 7591.826046999998 usercpu_time_millis_training 7627.409246000003 usercpu_time_millis_training 7561.816816000004 usercpu_time_millis_training 7643.305945000002 usercpu_time_millis_training 7580.027518000002 usercpu_time_millis_training 7740.441922000002 usercpu_time_millis_training 7775.639208000001 usercpu_time_millis_training 7788.8270870000015