5995470 1 Jan van Rijn 3481 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) 4030203 class_weight null 6941 criterion "gini" 6941 max_depth 6 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 28005 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 0.04951511078221144 6971 n_estimators 80 6971 random_state 38954 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 12914090 description https://api.openml.org/data/download/12914090/description.xml -1 12914091 predictions https://api.openml.org/data/download/12914091/predictions.arff area_under_roc_curve 0.9960297692115314 [0.995212,0.993871,0.998498,0.992908,0.991522,0.995175,0.990472,0.999647,0.999817,0.996246,0.997973,0.998964,0.993909,0.996495,0.999653,0.987002,0.997543,0.999888,0.998826,0.991895,0.999668,0.991251,0.996704,0.999364,0.99996,0.994295] average_cost 0 f_measure 0.9123966659328459 [0.91222,0.841935,0.956971,0.882353,0.807432,0.8875,0.901173,0.973064,0.962233,0.890388,0.8992,0.956522,0.863158,0.870253,0.959732,0.860427,0.963087,0.968174,0.888087,0.892256,0.957792,0.82504,0.917874,0.976431,0.984823,0.923858] kappa 0.9086316114545697 kb_relative_information_score 7074.879340506741 mean_absolute_error 0.014112167408643583 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.9145366868081851 [0.94306,0.815625,0.989324,0.917266,0.818493,0.830409,0.905724,0.982993,0.94822,0.901024,0.864615,0.959732,0.907749,0.828313,0.966216,0.847896,0.969595,0.973064,0.968504,0.901361,0.933544,0.795666,0.88785,0.986395,0.996587,0.938144] predictive_accuracy 0.912145697062973 prior_entropy 4.700438289429255 recall 0.912145697062973 [0.883333,0.87,0.926667,0.85,0.796667,0.95302,0.896667,0.963333,0.976667,0.88,0.936667,0.953333,0.822742,0.916667,0.953333,0.873333,0.956667,0.963333,0.82,0.883333,0.983333,0.856667,0.95,0.966667,0.973333,0.91] relative_absolute_error 0.19079651850447607 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.07618304239106535 root_relative_squared_error 0.39615183620302585 total_cost 0 area_under_roc_curve 0.9962461538461539 [0.998711,0.993111,0.994267,0.998489,0.989822,0.999733,0.996489,0.999778,0.999644,0.997422,0.996533,0.999956,0.987822,0.997022,0.998667,0.987156,0.995867,0.999733,0.999733,0.984489,0.999778,0.998711,0.992133,0.999333,0.999689,0.998311] area_under_roc_curve 0.9961111111111111 [0.994222,0.996044,0.999689,0.994756,0.990667,0.9968,0.998978,0.999867,0.999911,0.997689,0.997289,0.999911,0.996622,0.998489,1,0.961911,0.999956,0.999822,0.999511,0.991867,0.999733,0.992133,0.999422,1,1,0.9936] area_under_roc_curve 0.9962769230769228 [0.988711,0.995511,0.999733,0.992978,0.9936,0.997422,0.9944,0.999778,0.999467,0.990356,0.996356,1,0.998267,0.996133,0.999644,0.9924,0.998667,0.999822,0.996533,0.994133,0.999333,0.998844,0.997156,0.994844,1,0.989111] area_under_roc_curve 0.9966478632478631 [0.997467,0.993778,0.999911,0.989867,0.996,0.997733,0.9988,1,1,0.998533,0.999111,0.998444,0.999289,0.999511,0.999867,0.980489,1,1,0.998978,0.988089,1,0.979689,0.999556,1,1,0.997733] area_under_roc_curve 0.9962512820512818 [0.999733,0.993156,0.993867,0.994622,0.990756,0.979111,0.998844,0.999689,0.999822,0.995778,0.997867,0.999822,0.994667,0.992889,1,0.996222,1,0.999822,0.998489,0.987111,0.999644,0.996444,0.997467,0.999733,1,0.996978] area_under_roc_curve 0.9968461538461538 [0.9996,0.996311,0.999911,0.992267,0.996,0.9996,0.992,1,1,0.999156,0.995778,0.993956,0.996489,0.996356,0.999822,0.990267,0.991333,1,0.999333,0.998356,1,0.982844,0.999733,1,1,0.998889] area_under_roc_curve 0.9964974358974359 [0.986222,0.993778,1,0.998267,0.991556,0.992222,0.9988,0.997289,0.999911,0.998578,0.9984,0.9996,0.983733,0.997111,0.998844,0.9924,0.999956,0.999911,0.999822,0.9988,0.999422,0.997111,1,1,1,0.9872] area_under_roc_curve 0.996879221075255 [0.99862,0.992256,1,0.996351,0.987761,0.998442,0.97263,0.999644,0.999822,0.998976,0.999955,0.998665,0.996,0.993191,0.999866,0.999866,0.996885,0.999777,0.999466,0.995238,0.999332,0.997063,0.999377,1,0.999955,0.999688] area_under_roc_curve 0.9930367496128059 [0.999599,0.989764,0.999644,0.974944,0.986426,0.994989,0.969737,1,0.999822,0.985759,0.998264,0.999688,0.993947,0.998665,0.999911,0.995594,0.993858,1,0.99951,0.984958,0.999288,0.983445,0.984958,0.999866,1,0.986382] area_under_roc_curve 0.9971636453796905 [0.992345,0.995728,0.997552,0.999777,0.995461,0.997609,0.992657,0.999911,0.999911,0.999421,0.999154,0.999733,0.994081,0.996395,0.999866,0.986382,0.999955,1,0.99862,0.998442,0.999822,0.992835,0.996351,1,0.999911,0.994348] 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 0.9043889953822946 [0.872727,0.830769,0.912281,0.933333,0.785714,0.895522,0.881356,0.965517,0.967742,0.931034,0.861538,0.983051,0.852459,0.847458,0.966667,0.862069,0.933333,0.949153,0.912281,0.903226,0.965517,0.861538,0.861538,0.928571,0.983051,0.866667] f_measure 0.9195646890201312 [0.866667,0.852459,0.983607,0.928571,0.80597,0.878788,0.931034,0.966667,0.983051,0.892308,0.933333,0.967742,0.892857,0.90625,0.965517,0.821429,0.983051,0.983607,0.888889,0.866667,0.966667,0.827586,0.920635,0.983051,1,0.912281] f_measure 0.9002626057551509 [0.903226,0.813559,0.947368,0.821429,0.807018,0.920635,0.896552,0.966667,0.9,0.881356,0.918033,0.983051,0.9,0.819672,0.952381,0.830769,0.966667,0.931034,0.872727,0.847458,0.966667,0.833333,0.885246,0.965517,0.983607,0.892857] f_measure 0.9270875540489736 [0.965517,0.8,0.983051,0.847458,0.836364,0.920635,0.923077,0.966667,1,0.888889,0.895522,0.933333,0.912281,0.920635,0.949153,0.912281,0.983607,1,0.912281,0.877193,0.983607,0.741935,0.967742,1,1,0.983051] f_measure 0.9001111248414967 [0.966667,0.830769,0.909091,0.896552,0.774194,0.776119,0.95082,0.949153,0.952381,0.9,0.852459,0.966667,0.814815,0.818182,0.983607,0.881356,1,0.965517,0.784314,0.830769,0.967742,0.814815,0.949153,0.966667,0.983051,0.918033] f_measure 0.9179696357618234 [0.947368,0.852459,0.947368,0.793103,0.806452,0.895522,0.881356,1,0.983051,0.915254,0.875,0.912281,0.912281,0.903226,0.95082,0.842105,0.95082,0.983607,0.888889,0.931034,0.967742,0.888889,0.9375,0.983051,1,0.918033] f_measure 0.9113456762930419 [0.912281,0.833333,0.983051,0.857143,0.793103,0.888889,0.933333,0.965517,0.952381,0.862069,0.903226,0.918033,0.763636,0.865672,0.928571,0.84375,0.966667,0.983051,0.909091,0.967742,0.952381,0.830769,0.983607,0.983607,0.983051,0.931034] f_measure 0.9309300619139376 [0.949153,0.888889,1,0.947368,0.833333,0.918033,0.885246,0.965517,0.952381,0.896552,0.983607,0.966667,0.928571,0.903226,0.983051,0.869565,0.947368,0.931034,0.915254,0.892857,0.983607,0.842105,0.923077,0.983607,0.947368,0.966667] f_measure 0.895993929635285 [0.935484,0.819672,0.928571,0.827586,0.8,0.915254,0.821429,1,0.983607,0.825397,0.852459,0.966667,0.836364,0.861538,0.965517,0.830769,0.915254,1,0.912281,0.851852,0.90625,0.818182,0.852459,0.966667,1,0.903226] f_measure 0.9146623099306828 [0.784314,0.9,0.966667,0.966667,0.833333,0.875,0.9,0.983607,0.949153,0.915254,0.920635,0.966667,0.813559,0.857143,0.95082,0.915254,0.983051,0.952381,0.872727,0.95082,0.923077,0.786885,0.9,1,0.965517,0.947368] kappa 0.9 kappa 0.9159999999999999 kappa 0.896 kappa 0.924 kappa 0.896 kappa 0.9146666666666666 kappa 0.908 kappa 0.9279072079081677 kappa 0.8918613678468417 kappa 0.9118877954982468 kb_relative_information_score 704.2671478685317 kb_relative_information_score 711.519784865525 kb_relative_information_score 701.8224368302008 kb_relative_information_score 713.4755415940459 kb_relative_information_score 700.5958877005058 kb_relative_information_score 712.1040984103572 kb_relative_information_score 708.656623718298 kb_relative_information_score 715.7455894887339 kb_relative_information_score 694.1179929113778 kb_relative_information_score 712.5742371191495 mean_absolute_error 0.014335357280644497 mean_absolute_error 0.013109056861331118 mean_absolute_error 0.014767812139346373 mean_absolute_error 0.013628574874202114 mean_absolute_error 0.015277788682657526 mean_absolute_error 0.013658886694826929 mean_absolute_error 0.014351865239346085 mean_absolute_error 0.01316738136730128 mean_absolute_error 0.015603151364689961 mean_absolute_error 0.013221357772190067 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.909492677689071 [0.96,0.771429,0.962963,0.933333,0.846154,0.810811,0.896552,1,0.9375,0.964286,0.8,1,0.83871,0.862069,0.966667,0.892857,0.933333,0.965517,0.962963,0.875,1,0.8,0.8,1,1,0.866667] precision 0.9245317191556792 [0.866667,0.83871,0.967742,1,0.72973,0.805556,0.964286,0.966667,1,0.828571,0.933333,0.9375,0.961538,0.852941,1,0.884615,1,0.967742,1,0.866667,0.966667,0.857143,0.878788,1,1,0.962963] precision 0.9051557656839166 [0.875,0.827586,1,0.884615,0.851852,0.878788,0.928571,0.966667,0.9,0.896552,0.903226,1,0.9,0.806452,0.909091,0.771429,0.966667,0.964286,0.96,0.862069,0.966667,0.714286,0.870968,1,0.967742,0.961538] precision 0.9316354408102183 [1,0.742857,1,0.862069,0.92,0.878788,0.857143,0.966667,1,1,0.810811,0.933333,0.962963,0.878788,0.965517,0.962963,0.967742,1,0.962963,0.925926,0.967742,0.71875,0.9375,1,1,1] precision 0.9068916910059847 [0.966667,0.771429,1,0.928571,0.75,0.702703,0.935484,0.965517,0.909091,0.9,0.83871,0.966667,0.916667,0.75,0.967742,0.896552,1,1,0.952381,0.771429,0.9375,0.916667,0.965517,0.966667,1,0.903226] precision 0.9218341723443391 [1,0.83871,1,0.821429,0.78125,0.810811,0.896552,1,1,0.931034,0.823529,0.962963,0.962963,0.875,0.935484,0.888889,0.935484,0.967742,1,0.964286,0.9375,0.848485,0.882353,1,1,0.903226] precision 0.915582730550071 [0.962963,0.833333,1,0.923077,0.821429,0.848485,0.933333,1,0.909091,0.892857,0.875,0.903226,0.84,0.783784,1,0.794118,0.966667,1,1,0.9375,0.909091,0.771429,0.967742,0.967742,1,0.964286] precision 0.934803690131247 [0.965517,0.848485,1,1,0.833333,0.903226,0.870968,1,0.909091,0.928571,0.967742,0.966667,0.962963,0.875,1,0.769231,1,0.964286,0.931034,0.961538,0.967742,0.888889,0.857143,0.967742,1,0.966667] precision 0.9008677969120763 [0.90625,0.806452,1,0.857143,0.88,0.9,0.884615,1,0.967742,0.787879,0.83871,0.966667,0.92,0.8,1,0.771429,0.931034,1,0.962963,0.958333,0.852941,0.75,0.83871,0.966667,1,0.875] precision 0.9184978198402042 [0.952381,0.9,0.966667,0.966667,0.833333,0.8,0.9,0.967742,0.965517,0.931034,0.878788,0.966667,0.827586,0.818182,0.935484,0.931034,1,0.909091,0.96,0.935484,0.857143,0.774194,0.9,1,1,1] predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9192307692307692 predictive_accuracy 0.9 predictive_accuracy 0.926923076923077 predictive_accuracy 0.9 predictive_accuracy 0.9179487179487179 predictive_accuracy 0.9115384615384616 predictive_accuracy 0.9306803594351734 predictive_accuracy 0.8960205391527599 predictive_accuracy 0.9152759948652118 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 recall 0.9038461538461539 [0.8,0.9,0.866667,0.933333,0.733333,1,0.866667,0.933333,1,0.9,0.933333,0.966667,0.866667,0.833333,0.966667,0.833333,0.933333,0.933333,0.866667,0.933333,0.933333,0.933333,0.933333,0.866667,0.966667,0.866667] recall 0.9192307692307692 [0.866667,0.866667,1,0.866667,0.9,0.966667,0.9,0.966667,0.966667,0.966667,0.933333,1,0.833333,0.966667,0.933333,0.766667,0.966667,1,0.8,0.866667,0.966667,0.8,0.966667,0.966667,1,0.866667] recall 0.9 [0.933333,0.8,0.9,0.766667,0.766667,0.966667,0.866667,0.966667,0.9,0.866667,0.933333,0.966667,0.9,0.833333,1,0.9,0.966667,0.9,0.8,0.833333,0.966667,1,0.9,0.933333,1,0.833333] recall 0.926923076923077 [0.933333,0.866667,0.966667,0.833333,0.766667,0.966667,1,0.966667,1,0.8,1,0.933333,0.866667,0.966667,0.933333,0.866667,1,1,0.866667,0.833333,1,0.766667,1,1,1,0.966667] recall 0.9 [0.966667,0.9,0.833333,0.866667,0.8,0.866667,0.966667,0.933333,1,0.9,0.866667,0.966667,0.733333,0.9,1,0.866667,1,0.933333,0.666667,0.9,1,0.733333,0.933333,0.966667,0.966667,0.933333] recall 0.9179487179487179 [0.9,0.866667,0.9,0.766667,0.833333,1,0.866667,1,0.966667,0.9,0.933333,0.866667,0.866667,0.933333,0.966667,0.8,0.966667,1,0.8,0.9,1,0.933333,1,0.966667,1,0.933333] recall 0.9115384615384615 [0.866667,0.833333,0.966667,0.8,0.766667,0.933333,0.933333,0.933333,1,0.833333,0.933333,0.933333,0.7,0.966667,0.866667,0.9,0.966667,0.966667,0.833333,1,1,0.9,1,1,0.966667,0.9] recall 0.9306803594351734 [0.933333,0.933333,1,0.9,0.833333,0.933333,0.9,0.933333,1,0.866667,1,0.966667,0.896552,0.933333,0.966667,1,0.9,0.9,0.9,0.833333,1,0.8,1,1,0.9,0.966667] recall 0.8960205391527599 [0.966667,0.833333,0.866667,0.8,0.733333,0.931034,0.766667,1,1,0.866667,0.866667,0.966667,0.766667,0.933333,0.933333,0.9,0.9,1,0.866667,0.766667,0.966667,0.9,0.866667,0.966667,1,0.933333] recall 0.9152759948652118 [0.666667,0.9,0.966667,0.966667,0.833333,0.965517,0.9,1,0.933333,0.9,0.966667,0.966667,0.8,0.9,0.966667,0.9,0.966667,1,0.8,0.966667,1,0.8,0.9,1,0.933333,0.9] relative_absolute_error 0.19381403043431242 relative_absolute_error 0.17723444876519565 relative_absolute_error 0.19966082012396175 relative_absolute_error 0.18425833229921149 relative_absolute_error 0.20655570298952852 relative_absolute_error 0.18466814811405896 relative_absolute_error 0.1940372180359579 relative_absolute_error 0.17802302296120545 relative_absolute_error 0.21095467429819867 relative_absolute_error 0.17875281457078482 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.07787016110819059 root_mean_squared_error 0.07402805233209724 root_mean_squared_error 0.07809363288904708 root_mean_squared_error 0.07294410061857193 root_mean_squared_error 0.0809715106795559 root_mean_squared_error 0.07314485189120977 root_mean_squared_error 0.07615675715829406 root_mean_squared_error 0.07045223024099923 root_mean_squared_error 0.08346793600724615 root_mean_squared_error 0.07374491894608355 root_relative_squared_error 0.4049248217506839 root_relative_squared_error 0.3849458569050249 root_relative_squared_error 0.40608687496518664 root_relative_squared_error 0.37930930821757886 root_relative_squared_error 0.42105183888407427 root_relative_squared_error 0.3803532147940165 root_relative_squared_error 0.3960151215635374 root_relative_squared_error 0.3663516380729597 root_relative_squared_error 0.43403338966928956 root_relative_squared_error 0.38347368668942466 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 276403.33650799945 usercpu_time_millis 278824.0635780003 usercpu_time_millis 276206.3327999986 usercpu_time_millis 280439.1929430003 usercpu_time_millis 276069.4782520004 usercpu_time_millis 277116.2064649998 usercpu_time_millis 277470.30264000024 usercpu_time_millis 276649.82426399906 usercpu_time_millis 280314.411596999 usercpu_time_millis 276563.501437 usercpu_time_millis_testing 196.85980400026892 usercpu_time_millis_testing 199.31437500054017 usercpu_time_millis_testing 197.46267099981196 usercpu_time_millis_testing 199.0361699990899 usercpu_time_millis_testing 196.90754899966123 usercpu_time_millis_testing 198.3011140000599 usercpu_time_millis_testing 196.69524100027047 usercpu_time_millis_testing 196.92947399926197 usercpu_time_millis_testing 197.52818899905833 usercpu_time_millis_testing 196.34175399914966 usercpu_time_millis_training 276206.4767039992 usercpu_time_millis_training 278624.74920299975 usercpu_time_millis_training 276008.87012899877 usercpu_time_millis_training 280240.1567730012 usercpu_time_millis_training 275872.57070300076 usercpu_time_millis_training 276917.90535099973 usercpu_time_millis_training 277273.607399 usercpu_time_millis_training 276452.8947899998 usercpu_time_millis_training 280116.88340799994 usercpu_time_millis_training 276367.1596830009