5992557 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) 4027290 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 40806 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 1.5267461646286045 6971 n_estimators 292 6971 random_state 44486 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 12908378 description https://api.openml.org/data/download/12908378/description.xml -1 12908379 predictions https://api.openml.org/data/download/12908379/predictions.arff area_under_roc_curve 0.9954180321950336 [0.995498,0.987874,0.999301,0.990817,0.989125,0.995631,0.989701,0.999511,0.99956,0.996849,0.996206,0.999492,0.994815,0.989236,0.999462,0.984676,0.999867,0.999963,0.99945,0.989149,0.999469,0.991037,0.999616,0.999874,0.999974,0.994713] average_cost 0 f_measure 0.9283704623599721 [0.951747,0.80261,0.968174,0.866116,0.805873,0.959596,0.88707,0.986577,0.973684,0.941176,0.937394,0.973684,0.880259,0.875862,0.983165,0.84,0.985124,0.978151,0.964942,0.866013,0.971714,0.844371,0.971524,0.988275,0.991625,0.942953] kappa 0.925438003442647 kb_relative_information_score 11.067964001153014 mean_absolute_error 0.07395077721343415 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 0.9293402190114473 [0.950166,0.785942,0.973064,0.859016,0.789137,0.962838,0.871383,0.993243,0.961039,0.923077,0.95189,0.961039,0.852665,0.907143,0.993197,0.924,0.977049,0.986441,0.966555,0.849359,0.9701,0.838816,0.976431,0.993266,0.996633,0.949324] predictive_accuracy 0.9283057586251122 prior_entropy 4.700438289429255 recall 0.9283057586251122 [0.953333,0.82,0.963333,0.873333,0.823333,0.956376,0.903333,0.98,0.986667,0.96,0.923333,0.986667,0.909699,0.846667,0.973333,0.77,0.993333,0.97,0.963333,0.883333,0.973333,0.85,0.966667,0.983333,0.986667,0.936667] relative_absolute_error 0.9998145872604514 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.1922720238262502 root_relative_squared_error 0.9998145636957909 total_cost 0 area_under_roc_curve 0.9958136752136753 [0.995511,0.994089,0.998533,0.994889,0.991333,0.998622,0.995022,0.999956,0.999689,0.996489,0.995067,0.999733,0.992578,0.990667,0.995689,0.979467,0.999378,1,0.999911,0.985422,0.998356,0.995467,0.999689,0.998978,0.999956,0.996667] area_under_roc_curve 0.9957076923076922 [0.993733,0.9876,0.999956,0.983422,0.997289,0.996978,0.998356,0.999511,0.998844,0.999556,0.996356,0.999556,0.998889,0.993644,1,0.966622,0.999956,0.999867,1,0.991867,0.9996,0.989378,0.999867,1,1,0.997556] area_under_roc_curve 0.9951692307692309 [0.9936,0.9932,0.998133,0.982222,0.991733,0.997111,0.987644,0.997733,0.998622,0.9912,0.992844,0.999778,0.997956,0.989867,1,0.9912,0.999956,1,0.999111,0.989467,0.999644,0.9904,1,0.999911,0.999867,0.9932] area_under_roc_curve 0.995977777777778 [0.995822,0.989556,0.999422,0.992133,0.992222,0.999111,0.999022,1,0.999867,0.999556,0.999244,0.998933,0.995689,0.993111,0.999556,0.970933,1,1,0.999778,0.99,0.999956,0.983156,1,0.9996,1,0.998756] area_under_roc_curve 0.995531623931624 [0.998356,0.992,0.999333,0.995067,0.984578,0.9952,0.998,0.999867,0.999911,0.989289,0.996667,0.999733,0.999156,0.972178,0.999956,0.985644,1,0.999956,0.997911,0.990756,0.999467,0.995244,0.997911,0.999822,1,0.997822] area_under_roc_curve 0.9963589743589744 [0.998711,0.987333,0.999378,0.990044,0.983422,0.998933,0.994444,1,0.999822,0.999244,0.995644,0.9992,0.9968,0.993422,0.999244,0.984889,0.999867,1,0.999378,0.991289,0.999467,0.997156,1,1,1,0.997644] area_under_roc_curve 0.9957435897435897 [0.997022,0.9892,0.999467,0.9964,0.984133,0.984667,0.998978,0.999867,0.999911,0.999289,0.996622,0.999022,0.985289,0.987956,1,0.9892,0.999733,1,0.999778,0.995378,0.998933,0.998622,1,1,0.999956,0.989911] area_under_roc_curve 0.9960188435529216 [0.998442,0.973031,1,0.996128,0.989898,0.998264,0.982065,0.999911,0.999822,0.999466,0.999555,1,0.996184,0.987761,0.999866,0.99911,0.999911,1,0.999911,0.989275,0.999911,0.9915,1,1,1,0.996484] area_under_roc_curve 0.9945263226449986 [0.999733,0.989764,0.999466,0.99239,0.99239,0.990759,0.965376,1,0.999644,0.995149,0.994793,0.999866,0.996395,0.994126,1,0.992879,0.999911,0.999955,0.999911,0.977481,0.999688,0.994348,0.999599,1,1,0.983934] area_under_roc_curve 0.9960445266345714 [0.986293,0.989097,0.999866,0.997641,0.988785,0.99669,0.989586,1,0.999466,1,0.998309,0.999243,0.995906,0.992701,1,0.993235,1,0.999955,0.999466,0.997819,0.999955,0.97806,0.999688,1,0.999955,0.995461] 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 0.9248063418817745 [0.931034,0.813559,0.95082,0.835821,0.827586,0.965517,0.909091,0.983051,1,0.931034,0.90625,0.983607,0.862069,0.885246,0.983051,0.851852,0.983051,0.983607,0.952381,0.830769,0.983051,0.861538,0.967742,0.949153,0.983051,0.931034] f_measure 0.9397916041638293 [0.90625,0.807692,1,0.896552,0.828571,0.983607,0.95082,0.983051,0.966667,0.923077,0.928571,0.952381,0.892857,0.920635,0.965517,0.851852,1,0.966667,0.983051,0.928571,0.983051,0.848485,0.983607,1,1,0.983051] f_measure 0.9274021748830109 [0.933333,0.793103,0.966667,0.896552,0.757576,0.949153,0.830769,0.983051,0.95082,0.95082,0.965517,1,0.967742,0.931034,1,0.784314,1,0.965517,0.95082,0.787879,1,0.885246,0.983607,0.983051,0.983607,0.912281] f_measure 0.9369098273260285 [0.983051,0.77193,0.966667,0.852459,0.875,0.983607,0.865672,1,1,0.965517,0.967742,0.933333,0.875,0.857143,0.966667,0.892857,1,1,0.983051,0.836364,0.983607,0.833333,0.983607,1,1,0.983051] f_measure 0.9179508602363142 [0.983607,0.757576,0.983051,0.857143,0.774194,0.920635,0.918033,0.983051,0.967742,0.878788,0.851852,0.983607,0.915254,0.915254,1,0.872727,0.967742,0.983051,0.928571,0.857143,0.95082,0.784314,0.947368,0.966667,0.983051,0.935484] f_measure 0.9360677288033646 [1,0.793103,0.965517,0.8,0.793651,0.949153,0.918033,1,1,0.966667,0.918033,0.967742,0.912281,0.935484,0.983051,0.888889,0.983051,1,0.95082,0.903226,0.966667,0.83871,0.983051,1,1,0.920635] f_measure 0.912268152750161 [0.933333,0.8,0.95082,0.881356,0.679245,0.935484,0.857143,0.965517,0.967742,0.949153,0.965517,0.966667,0.825397,0.827586,0.965517,0.716981,0.983607,1,0.947368,0.862069,0.949153,0.857143,0.983607,1,0.983051,0.965517] f_measure 0.9254877162286179 [0.966667,0.811594,0.983051,0.931034,0.836364,0.983051,0.851852,0.967742,0.952381,0.952381,0.983051,1,0.788732,0.680851,0.983607,0.920635,0.967742,0.928571,0.983607,0.885246,0.966667,0.814815,0.983051,0.983051,1,0.952381] f_measure 0.9254530656959313 [0.983607,0.8,0.947368,0.861538,0.827586,0.964286,0.857143,1,0.966667,0.933333,0.949153,0.983051,0.882353,0.836364,1,0.807018,0.967742,0.966667,0.983607,0.848485,0.95082,0.915254,0.931034,1,1,0.9] f_measure 0.9355503005890977 [0.896552,0.875,0.967742,0.857143,0.84375,0.964286,0.918033,1,0.966667,0.967742,0.933333,0.967742,0.9,0.918033,0.983051,0.792453,1,0.983607,0.983607,0.933333,0.983607,0.793651,0.965517,1,0.983051,0.947368] kappa 0.9213333333333333 kappa 0.9373333333333334 kappa 0.924 kappa 0.9346666666666666 kappa 0.9146666666666666 kappa 0.9333333333333333 kappa 0.9093333333333333 kappa 0.9239040089938014 kappa 0.9225670010865504 kappa 0.933247414729785 kb_relative_information_score 1.0857725502680646 kb_relative_information_score 1.1113867399708077 kb_relative_information_score 1.1182051963126418 kb_relative_information_score 1.113751388520104 kb_relative_information_score 1.0799583403326247 kb_relative_information_score 1.1059839893537131 kb_relative_information_score 1.1113754014635082 kb_relative_information_score 1.1129712150291171 kb_relative_information_score 1.1193110486239388 kb_relative_information_score 1.1092481312785467 mean_absolute_error 0.07395104886564363 mean_absolute_error 0.07395072993687947 mean_absolute_error 0.07395064779970983 mean_absolute_error 0.07395070069592201 mean_absolute_error 0.07395112204183464 mean_absolute_error 0.07395079722164778 mean_absolute_error 0.073950730063179 mean_absolute_error 0.07395068495404156 mean_absolute_error 0.0739505952477867 mean_absolute_error 0.07395071487620616 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 0.9293825700801589 [0.964286,0.827586,0.935484,0.756757,0.857143,1,1,1,1,0.964286,0.852941,0.967742,0.892857,0.870968,1,0.958333,1,0.967742,0.909091,0.771429,1,0.8,0.9375,0.965517,1,0.964286] precision 0.9464627058664425 [0.852941,0.954545,1,0.928571,0.725,0.967742,0.935484,1,0.966667,0.857143,1,0.909091,0.961538,0.878788,1,0.958333,1,0.966667,1,1,1,0.777778,0.967742,1,1,1] precision 0.9320632821119471 [0.933333,0.821429,0.966667,0.928571,0.694444,0.965517,0.771429,1,0.935484,0.935484,1,1,0.9375,0.964286,1,0.952381,1,1,0.935484,0.722222,1,0.870968,0.967742,1,0.967742,0.962963] precision 0.9396041650236292 [1,0.814815,0.966667,0.83871,0.823529,0.967742,0.783784,1,1,1,0.9375,0.933333,0.823529,0.923077,0.966667,0.961538,1,1,1,0.92,0.967742,0.833333,0.967742,1,1,1] precision 0.9238478839014156 [0.967742,0.694444,1,0.818182,0.75,0.878788,0.903226,1,0.9375,0.805556,0.958333,0.967742,0.931034,0.931034,1,0.96,0.9375,1,1,0.818182,0.935484,0.952381,1,0.966667,1,0.90625] precision 0.9381842780514916 [1,0.821429,1,0.8,0.757576,0.965517,0.903226,1,1,0.966667,0.903226,0.9375,0.962963,0.90625,1,1,1,1,0.935484,0.875,0.966667,0.8125,1,1,1,0.878788] precision 0.917579238733329 [0.933333,0.7,0.935484,0.896552,0.782609,0.90625,0.75,1,0.9375,0.965517,1,0.966667,0.787879,0.857143,1,0.826087,0.967742,1,1,0.892857,0.965517,0.818182,0.967742,1,1,1] precision 0.9351874544119747 [0.966667,0.717949,1,0.964286,0.92,1,0.958333,0.9375,0.909091,0.909091,1,1,0.666667,0.941176,0.967742,0.878788,0.9375,1,0.967742,0.870968,0.966667,0.916667,1,1,1,0.909091] precision 0.9289587268710809 [0.967742,0.8,1,0.8,0.857143,1,0.923077,1,0.966667,0.933333,0.965517,1,0.789474,0.92,1,0.851852,0.9375,0.966667,0.967742,0.777778,0.935484,0.931034,0.964286,1,1,0.9] precision 0.9382063696661108 [0.928571,0.823529,0.9375,0.923077,0.794118,1,0.903226,1,0.966667,0.9375,0.933333,0.9375,0.9,0.903226,1,0.913043,1,0.967742,0.967742,0.933333,0.967742,0.757576,1,1,1,1] predictive_accuracy 0.9243589743589743 predictive_accuracy 0.9397435897435897 predictive_accuracy 0.926923076923077 predictive_accuracy 0.9371794871794872 predictive_accuracy 0.9179487179487179 predictive_accuracy 0.9358974358974359 predictive_accuracy 0.9128205128205128 predictive_accuracy 0.926829268292683 predictive_accuracy 0.9255455712451861 predictive_accuracy 0.9358151476251605 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 0.9243589743589744 [0.9,0.8,0.966667,0.933333,0.8,0.933333,0.833333,0.966667,1,0.9,0.966667,1,0.833333,0.9,0.966667,0.766667,0.966667,1,1,0.9,0.966667,0.933333,1,0.933333,0.966667,0.9] recall 0.9397435897435897 [0.966667,0.7,1,0.866667,0.966667,1,0.966667,0.966667,0.966667,1,0.866667,1,0.833333,0.966667,0.933333,0.766667,1,0.966667,0.966667,0.866667,0.966667,0.933333,1,1,1,0.966667] recall 0.926923076923077 [0.933333,0.766667,0.966667,0.866667,0.833333,0.933333,0.9,0.966667,0.966667,0.966667,0.933333,1,1,0.9,1,0.666667,1,0.933333,0.966667,0.866667,1,0.9,1,0.966667,1,0.866667] recall 0.9371794871794872 [0.966667,0.733333,0.966667,0.866667,0.933333,1,0.966667,1,1,0.933333,1,0.933333,0.933333,0.8,0.966667,0.833333,1,1,0.966667,0.766667,1,0.833333,1,1,1,0.966667] recall 0.9179487179487179 [1,0.833333,0.966667,0.9,0.8,0.966667,0.933333,0.966667,1,0.966667,0.766667,1,0.9,0.9,1,0.8,1,0.966667,0.866667,0.9,0.966667,0.666667,0.9,0.966667,0.966667,0.966667] recall 0.9358974358974359 [1,0.766667,0.933333,0.8,0.833333,0.933333,0.933333,1,1,0.966667,0.933333,1,0.866667,0.966667,0.966667,0.8,0.966667,1,0.966667,0.933333,0.966667,0.866667,0.966667,1,1,0.966667] recall 0.9128205128205128 [0.933333,0.933333,0.966667,0.866667,0.6,0.966667,1,0.933333,1,0.933333,0.933333,0.966667,0.866667,0.8,0.933333,0.633333,1,1,0.9,0.833333,0.933333,0.9,1,1,0.966667,0.933333] recall 0.926829268292683 [0.966667,0.933333,0.966667,0.9,0.766667,0.966667,0.766667,1,1,1,0.966667,1,0.965517,0.533333,1,0.966667,1,0.866667,1,0.9,0.966667,0.733333,0.966667,0.966667,1,1] recall 0.9255455712451861 [1,0.8,0.9,0.933333,0.8,0.931034,0.8,1,0.966667,0.933333,0.933333,0.966667,1,0.766667,1,0.766667,1,0.966667,1,0.933333,0.966667,0.9,0.9,1,1,0.9] recall 0.9358151476251605 [0.866667,0.933333,1,0.8,0.9,0.931034,0.933333,1,0.966667,1,0.933333,1,0.9,0.933333,0.966667,0.7,1,1,1,0.933333,1,0.833333,0.933333,1,0.966667,0.9] relative_absolute_error 0.9998181806634959 relative_absolute_error 0.9998138687466045 relative_absolute_error 0.9998127582520709 relative_absolute_error 0.9998134734088595 relative_absolute_error 0.9998191700055983 relative_absolute_error 0.9998147784366721 relative_absolute_error 0.999813870454174 relative_absolute_error 0.9998134115157343 relative_absolute_error 0.9998123693113798 relative_absolute_error 0.9998139866881312 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 0.19227273007249168 root_mean_squared_error 0.19227190080505788 root_mean_squared_error 0.1922716874670217 root_mean_squared_error 0.19227182483785846 root_mean_squared_error 0.19227292033750049 root_mean_squared_error 0.1922720758776144 root_mean_squared_error 0.192271901393075 root_mean_squared_error 0.19227178389988434 root_mean_squared_error 0.19227155078496014 root_mean_squared_error 0.19227186166040458 root_relative_squared_error 0.9998181568412338 root_relative_squared_error 0.9998138446507486 root_relative_squared_error 0.9998127352930042 root_relative_squared_error 0.9998134496213272 root_relative_squared_error 0.9998191462192406 root_relative_squared_error 0.9998147550280065 root_relative_squared_error 0.9998138477084376 root_relative_squared_error 0.9998133876809647 root_relative_squared_error 0.9998123461076408 root_relative_squared_error 0.9998139626604079 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 729064.7997160001 usercpu_time_millis 720015.5648129996 usercpu_time_millis 710186.2841840002 usercpu_time_millis 713363.3965039998 usercpu_time_millis 715440.9593999995 usercpu_time_millis 711821.19083 usercpu_time_millis 712900.5792109993 usercpu_time_millis 712650.6703040005 usercpu_time_millis 714291.716969 usercpu_time_millis 709207.4824929995 usercpu_time_millis_testing 263.56976800002485 usercpu_time_millis_testing 251.8885159997808 usercpu_time_millis_testing 252.05162500014922 usercpu_time_millis_testing 251.93230500008212 usercpu_time_millis_testing 253.14469899967662 usercpu_time_millis_testing 258.58096100000694 usercpu_time_millis_testing 251.95839699972566 usercpu_time_millis_testing 252.26888799988956 usercpu_time_millis_testing 253.35409099989192 usercpu_time_millis_testing 251.98705099955987 usercpu_time_millis_training 728801.229948 usercpu_time_millis_training 719763.6762969998 usercpu_time_millis_training 709934.232559 usercpu_time_millis_training 713111.4641989998 usercpu_time_millis_training 715187.8147009998 usercpu_time_millis_training 711562.6098689999 usercpu_time_millis_training 712648.6208139996 usercpu_time_millis_training 712398.4014160006 usercpu_time_millis_training 714038.362878 usercpu_time_millis_training 708955.495442