5951342 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) 3986085 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 15817 6941 splitter "best" 6941 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 algorithm "SAMME.R" 6971 learning_rate 0.22642967701370215 6971 n_estimators 393 6971 random_state 12166 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 12826153 description https://api.openml.org/data/download/12826153/description.xml -1 12826154 predictions https://api.openml.org/data/download/12826154/predictions.arff area_under_roc_curve 0.9785441666666667 [1,0.970553,0.995561,0.992336,0.973578,0.994825,0.936017,0.992211,0.996606,0.933756] average_cost 0 f_measure 0.7998158646255196 [0.982188,0.715447,0.913978,0.87234,0.802005,0.910995,0.481675,0.832891,0.953608,0.53303] kappa 0.7711111111111112 kb_relative_information_score 1607.1263651807517 mean_absolute_error 0.054807440787117315 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8149076514772786 [1,0.60274,0.988372,0.931818,0.80402,0.956044,0.505495,0.887006,0.984043,0.48954] predictive_accuracy 0.794 prior_entropy 3.321928094887362 recall 0.794 [0.965,0.88,0.85,0.82,0.8,0.87,0.46,0.785,0.925,0.585] relative_absolute_error 0.30448578215064237 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16821175870894242 root_relative_squared_error 0.5607058623631328 total_cost 0 area_under_roc_curve 0.9766944444444445 [1,0.971944,0.992778,0.990278,0.969722,0.999722,0.924167,0.991389,0.996389,0.930556] area_under_roc_curve 0.9762777777777779 [1,0.970556,0.998611,0.986111,0.9475,0.993333,0.936389,0.991111,0.993611,0.945556] area_under_roc_curve 0.9771666666666667 [1,0.946667,1,0.986667,0.984444,0.996389,0.913611,0.987222,0.998611,0.958056] area_under_roc_curve 0.9833888888888889 [1,0.979444,0.997778,0.998333,0.993333,0.994444,0.946111,0.995,0.9975,0.931944] area_under_roc_curve 0.9801111111111112 [1,0.9675,0.998889,0.984444,0.9825,0.996944,0.947778,0.992222,1,0.930833] area_under_roc_curve 0.9825277777777779 [1,0.969722,1,0.993333,0.986111,0.994444,0.953611,0.989444,0.991944,0.946667] area_under_roc_curve 0.9860277777777777 [1,0.989167,0.9975,0.998333,0.983611,0.990833,0.967778,0.993333,1,0.939722] area_under_roc_curve 0.9864166666666666 [1,0.976389,0.999167,0.998056,0.977222,0.998333,0.9575,0.997222,0.996667,0.963611] area_under_roc_curve 0.976611111111111 [1,0.96,1,0.998611,0.970278,0.991389,0.936111,0.997222,1,0.9125] area_under_roc_curve 0.9712777777777779 [1,0.990278,0.976389,0.998056,0.959444,0.9975,0.908611,0.991389,0.989444,0.901667] 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 0.7548850873367492 [0.974359,0.679245,0.918919,0.8,0.711111,0.947368,0.4,0.705882,0.923077,0.488889] f_measure 0.7789241400658753 [1,0.705882,0.823529,0.923077,0.756757,0.878049,0.410256,0.820513,0.947368,0.52381] f_measure 0.7825895748818565 [0.947368,0.627451,0.918919,0.777778,0.791667,0.888889,0.604651,0.742857,0.947368,0.578947] f_measure 0.8199295997980208 [0.947368,0.791667,0.918919,0.952381,0.909091,0.857143,0.6,0.787879,0.95,0.484848] f_measure 0.8083261887548734 [1,0.681818,0.888889,0.85,0.8,0.923077,0.482759,0.829268,1,0.627451] f_measure 0.8241532928065435 [1,0.705882,0.974359,0.810811,0.8,0.95,0.636364,0.810811,0.974359,0.578947] f_measure 0.8147484258600411 [1,0.791667,0.857143,0.947368,0.842105,0.918919,0.344828,0.9,1,0.545455] f_measure 0.8284761219867603 [1,0.755556,0.95,0.923077,0.871795,0.923077,0.424242,0.952381,0.888889,0.595745] f_measure 0.7890988198430182 [0.974359,0.693878,1,0.888889,0.722222,0.871795,0.333333,0.864865,0.97561,0.566038] f_measure 0.765268577460528 [0.974359,0.730769,0.864865,0.823529,0.810811,0.947368,0.44,0.871795,0.918919,0.27027] kappa 0.7222222222222222 kappa 0.75 kappa 0.75 kappa 0.7999999999999999 kappa 0.788888888888889 kappa 0.7999999999999999 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.7666666666666667 kappa 0.7277777777777777 kb_relative_information_score 157.09397576570967 kb_relative_information_score 157.59280236504506 kb_relative_information_score 156.0448264617288 kb_relative_information_score 162.78909203152142 kb_relative_information_score 159.2481636616785 kb_relative_information_score 165.14693303438568 kb_relative_information_score 166.22916065285062 kb_relative_information_score 165.24655882591173 kb_relative_information_score 162.69017202119218 kb_relative_information_score 155.04468036073254 mean_absolute_error 0.058255954440644686 mean_absolute_error 0.06058916659816747 mean_absolute_error 0.0589400276305534 mean_absolute_error 0.050816350351015324 mean_absolute_error 0.055481063636137744 mean_absolute_error 0.049430073818918646 mean_absolute_error 0.0492648712334861 mean_absolute_error 0.049908963322476525 mean_absolute_error 0.05435877807702786 mean_absolute_error 0.06102915876274613 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 0.7829965823650035 [1,0.545455,1,0.933333,0.64,1,0.466667,0.857143,0.947368,0.44] precision 0.7971843745987358 [1,0.580645,1,0.947368,0.823529,0.857143,0.421053,0.842105,1,0.5] precision 0.8112695629911619 [1,0.516129,1,0.875,0.678571,1,0.565217,0.866667,1,0.611111] precision 0.8486380286380287 [1,0.678571,1,0.909091,0.833333,1,0.5,1,0.95,0.615385] precision 0.8325799040612283 [1,0.625,1,0.85,0.8,0.947368,0.777778,0.809524,1,0.516129] precision 0.8423128821421042 [1,0.580645,1,0.882353,0.933333,0.95,0.583333,0.882353,1,0.611111] precision 0.8451587301587302 [1,0.678571,1,1,0.888889,1,0.555556,0.9,1,0.428571] precision 0.8385544650281492 [1,0.68,0.95,0.947368,0.894737,0.947368,0.538462,0.909091,1,0.518519] precision 0.8141546616171628 [1,0.586207,1,1,0.8125,0.894737,0.5,0.941176,0.952381,0.454545] precision 0.7972800567595459 [1,0.59375,0.941176,1,0.882353,1,0.366667,0.894737,1,0.294118] predictive_accuracy 0.75 predictive_accuracy 0.775 predictive_accuracy 0.775 predictive_accuracy 0.82 predictive_accuracy 0.81 predictive_accuracy 0.82 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.79 predictive_accuracy 0.755 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 0.75 [0.95,0.9,0.85,0.7,0.8,0.9,0.35,0.6,0.9,0.55] recall 0.775 [1,0.9,0.7,0.9,0.7,0.9,0.4,0.8,0.9,0.55] recall 0.775 [0.9,0.8,0.85,0.7,0.95,0.8,0.65,0.65,0.9,0.55] recall 0.82 [0.9,0.95,0.85,1,1,0.75,0.75,0.65,0.95,0.4] recall 0.81 [1,0.75,0.8,0.85,0.8,0.9,0.35,0.85,1,0.8] recall 0.82 [1,0.9,0.95,0.75,0.7,0.95,0.7,0.75,0.95,0.55] recall 0.815 [1,0.95,0.75,0.9,0.8,0.85,0.25,0.9,1,0.75] recall 0.83 [1,0.85,0.95,0.9,0.85,0.9,0.35,1,0.8,0.7] recall 0.79 [0.95,0.85,1,0.8,0.65,0.85,0.25,0.8,1,0.75] recall 0.755 [0.95,0.95,0.8,0.7,0.75,0.9,0.55,0.85,0.85,0.25] relative_absolute_error 0.32364419133691524 relative_absolute_error 0.3366064811009308 relative_absolute_error 0.32744459794751923 relative_absolute_error 0.282313057505641 relative_absolute_error 0.3082281313118767 relative_absolute_error 0.274611521216215 relative_absolute_error 0.27369372907492306 relative_absolute_error 0.27727201845820326 relative_absolute_error 0.301993211539044 relative_absolute_error 0.3390508820152566 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 0.18135180344275287 root_mean_squared_error 0.1739847061273046 root_mean_squared_error 0.17800818411749694 root_mean_squared_error 0.16318427097915808 root_mean_squared_error 0.17072924169081852 root_mean_squared_error 0.1591800237498622 root_mean_squared_error 0.15640094405833282 root_mean_squared_error 0.15465818097129902 root_mean_squared_error 0.16127106712435132 root_mean_squared_error 0.1805582009468385 root_relative_squared_error 0.6045060114758433 root_relative_squared_error 0.579949020424349 root_relative_squared_error 0.5933606137249902 root_relative_squared_error 0.5439475699305273 root_relative_squared_error 0.5690974723027287 root_relative_squared_error 0.5306000791662077 root_relative_squared_error 0.5213364801944431 root_relative_squared_error 0.5155272699043304 root_relative_squared_error 0.5375702237478381 root_relative_squared_error 0.6018606698227953 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 32234.817380000004 usercpu_time_millis 32313.317559999992 usercpu_time_millis 32063.422618000004 usercpu_time_millis 31731.765392999987 usercpu_time_millis 32713.81954399999 usercpu_time_millis 32735.21148199995 usercpu_time_millis 32170.648531999974 usercpu_time_millis 32150.874968999997 usercpu_time_millis 31756.175458000027 usercpu_time_millis 31988.374094999985 usercpu_time_millis_testing 142.58658500000365 usercpu_time_millis_testing 134.0093599999932 usercpu_time_millis_testing 132.79068399999971 usercpu_time_millis_testing 201.4511040000002 usercpu_time_millis_testing 143.36546499998803 usercpu_time_millis_testing 134.1748679999739 usercpu_time_millis_testing 151.26052999997341 usercpu_time_millis_testing 141.60461599999508 usercpu_time_millis_testing 134.0262820000362 usercpu_time_millis_testing 132.67539399998896 usercpu_time_millis_training 32092.230795 usercpu_time_millis_training 32179.3082 usercpu_time_millis_training 31930.631934000005 usercpu_time_millis_training 31530.314288999987 usercpu_time_millis_training 32570.454079000003 usercpu_time_millis_training 32601.03661399998 usercpu_time_millis_training 32019.388002 usercpu_time_millis_training 32009.270353000004 usercpu_time_millis_training 31622.14917599999 usercpu_time_millis_training 31855.698700999994