6016874 1 Jan van Rijn 3481 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) 4051563 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.5118072362604177 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 18 6902 min_samples_split 9 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 54780 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 "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 openml-pimp openml-python Sklearn_0.18.1. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 12956877 description https://api.openml.org/data/download/12956877/description.xml -1 12956878 predictions https://api.openml.org/data/download/12956878/predictions.arff area_under_roc_curve 0.9967391180164676 [0.995984,0.995065,0.999692,0.99497,0.994308,0.998557,0.991714,0.999465,0.999341,0.996726,0.996654,0.999121,0.996023,0.993485,0.999431,0.988577,0.997213,0.999807,0.999493,0.994347,0.999105,0.992506,0.997286,0.999712,0.999888,0.996759] average_cost 0 f_measure 0.9056401334766264 [0.88746,0.850163,0.956376,0.856667,0.827703,0.919463,0.88707,0.96173,0.943457,0.872549,0.880795,0.935108,0.855148,0.862295,0.953795,0.846543,0.918644,0.961983,0.949833,0.884682,0.926667,0.836538,0.901408,0.968386,0.983278,0.918826] kappa 0.90182885875299 kb_relative_information_score 6829.180896375111 mean_absolute_error 0.01920018451164182 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 0.9065985629085184 [0.857143,0.83121,0.962838,0.856667,0.839041,0.919463,0.871383,0.960133,0.915361,0.855769,0.875,0.933555,0.894161,0.848387,0.944444,0.856655,0.934483,0.954098,0.95302,0.914591,0.926667,0.805556,0.955224,0.966777,0.986577,0.953405] predictive_accuracy 0.9056047197640118 prior_entropy 4.700438289429255 recall 0.9056047197640118 [0.92,0.87,0.95,0.856667,0.816667,0.919463,0.903333,0.963333,0.973333,0.89,0.886667,0.936667,0.819398,0.876667,0.963333,0.836667,0.903333,0.97,0.946667,0.856667,0.926667,0.87,0.853333,0.97,0.98,0.886667] relative_absolute_error 0.25958651519546644 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.08172376599014466 root_relative_squared_error 0.42496360006513867 total_cost 0 area_under_roc_curve 0.9963042735042735 [0.989644,0.994667,0.999244,0.993867,0.990711,0.999778,0.998222,0.999156,0.999822,0.996356,0.994356,0.999289,0.994356,0.992978,0.998578,0.981111,0.994533,0.999733,1,0.992711,0.999289,0.9976,0.999111,0.9992,1,0.9996] area_under_roc_curve 0.9963452991452991 [0.995778,0.996711,0.999689,0.994889,0.994711,0.999422,0.999378,0.999689,0.999378,0.998311,0.997067,0.999822,0.997244,0.990222,1,0.966489,0.999511,0.999733,0.999733,0.9972,0.999378,0.983422,0.998933,0.999822,1,0.998444] area_under_roc_curve 0.9973299145299147 [0.997289,0.993467,0.999778,0.993289,0.9972,0.998489,0.997067,0.998133,0.9984,0.989511,0.997467,0.998044,0.998667,0.996933,0.999911,0.998578,0.999467,0.999644,0.9992,0.997511,0.997156,0.995644,0.9988,0.999333,1,0.9916] area_under_roc_curve 0.997353846153846 [0.995733,0.997378,0.999289,0.998133,0.997378,0.997822,0.999244,0.999911,0.999956,0.998844,0.9988,0.999289,0.997244,0.9852,0.999333,0.987422,1,0.999956,0.9996,0.9968,0.999822,0.988311,0.996222,0.999822,0.999822,0.999867] area_under_roc_curve 0.9971333333333332 [0.996844,0.996311,0.999822,0.994844,0.990489,0.996578,0.9984,0.999289,0.999911,0.997156,0.997333,0.999556,0.996222,0.9856,1,0.997156,0.9992,1,0.997911,0.988933,0.999333,0.998178,0.998756,0.999956,0.999733,0.997956] area_under_roc_curve 0.9958666666666668 [0.999244,0.995022,1,0.9888,0.995111,0.998844,0.994667,1,0.999956,0.998311,0.99,0.997778,0.9952,0.998711,0.999556,0.986533,0.989822,1,0.999244,0.988578,0.999733,0.9804,0.999333,0.999644,0.999467,0.998578] area_under_roc_curve 0.9975128205128203 [0.996711,0.995422,0.999511,0.9976,0.991689,0.998089,0.998044,0.999156,0.999822,0.997644,0.997467,0.999867,0.990933,0.996444,0.999289,0.988933,0.998756,0.999911,0.999778,0.999422,0.998578,0.998267,0.998133,0.999822,0.999956,0.996089] area_under_roc_curve 0.9968071078082714 [0.995372,0.988563,0.999866,0.997953,0.993814,0.999911,0.971162,0.999955,0.999822,0.99773,0.998887,0.999911,0.998621,0.997063,0.998264,0.999644,0.996217,0.999911,1,0.994081,0.999421,0.995372,0.996707,0.999955,1,0.998843] area_under_roc_curve 0.9958104904385423 [0.999332,0.994348,0.999911,0.993102,0.995772,0.998529,0.97105,0.999955,0.996796,0.994838,0.996351,0.999822,0.995149,0.998754,0.999955,0.997018,0.99862,0.999555,1,0.990699,0.998442,0.995194,0.988117,1,1,0.989853] area_under_roc_curve 0.9977823359401466 [0.995105,0.998887,0.999955,0.998665,0.997196,0.998023,0.993725,1,0.999777,0.998887,0.998531,0.997997,0.995505,0.994437,0.999421,0.988963,0.996351,0.999866,0.999466,0.99862,0.999644,0.995105,0.99951,0.999955,1,0.998754] 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 0.8895366666424931 [0.847458,0.721311,0.935484,0.857143,0.754098,0.915254,0.9,0.965517,0.966667,0.881356,0.870968,0.920635,0.857143,0.825397,0.966667,0.806452,0.877193,0.95082,0.9375,0.857143,0.933333,0.918033,0.830189,0.915254,0.983607,0.933333] f_measure 0.9179365711552605 [0.875,0.862069,0.983607,0.875,0.857143,0.9375,0.920635,0.983051,0.95082,0.875,0.862069,1,0.877193,0.866667,0.983607,0.836364,0.949153,0.95082,0.965517,0.892857,0.931034,0.786885,0.966667,0.965517,0.983607,0.928571] f_measure 0.9056939408445134 [0.878788,0.877193,0.966667,0.785714,0.888889,0.918033,0.857143,0.966667,0.920635,0.852459,0.870968,0.928571,0.896552,0.881356,0.952381,0.877193,0.947368,0.931034,0.915254,0.915254,0.933333,0.8,0.931034,0.966667,1,0.888889] f_measure 0.9124637543043181 [0.95082,0.861538,0.918033,0.903226,0.862069,0.9,0.882353,0.983051,0.920635,0.9,0.90625,0.933333,0.881356,0.821429,0.95082,0.877193,0.965517,0.966667,0.949153,0.872727,0.935484,0.827586,0.888889,0.967742,0.95082,0.947368] f_measure 0.9042919923442794 [0.888889,0.857143,0.983051,0.870968,0.727273,0.9,0.966667,0.931034,0.967742,0.918033,0.866667,0.966667,0.777778,0.823529,0.983607,0.903226,0.95082,1,0.877193,0.852459,0.9,0.870968,0.830189,0.983607,0.983051,0.931034] f_measure 0.9020746012460522 [0.918033,0.861538,0.947368,0.793103,0.807018,0.862069,0.892308,0.966667,0.983607,0.933333,0.83871,0.931034,0.872727,0.920635,0.920635,0.777778,0.915254,0.983607,0.903226,0.912281,0.95082,0.8125,0.949153,0.95082,0.983051,0.866667] f_measure 0.9010859070991489 [0.888889,0.875,0.915254,0.857143,0.807018,0.918033,0.885246,0.949153,0.923077,0.866667,0.933333,0.965517,0.806452,0.857143,0.947368,0.758621,0.918033,0.966667,0.965517,0.90625,0.918033,0.819672,0.920635,0.983607,0.983051,0.892857] f_measure 0.904432015614707 [0.870968,0.833333,0.966667,0.896552,0.8,0.967742,0.807018,0.9375,0.9375,0.847458,0.933333,0.918033,0.949153,0.915254,0.885246,0.923077,0.827586,0.966667,1,0.827586,0.896552,0.83871,0.888889,0.965517,0.983051,0.933333] f_measure 0.8973432384281992 [0.923077,0.83871,0.947368,0.813559,0.857143,0.928571,0.857143,0.967742,0.915254,0.8,0.872727,0.966667,0.8,0.888889,1,0.818182,0.885246,0.935484,1,0.851852,0.881356,0.8,0.881356,0.983607,1,0.918033] f_measure 0.9193510354255977 [0.827586,0.915254,1,0.903226,0.903226,0.945455,0.896552,0.967742,0.95082,0.857143,0.852459,0.830769,0.827586,0.825397,0.949153,0.877193,0.949153,0.967742,0.983607,0.95082,0.983607,0.9,0.909091,1,0.983051,0.947368] kappa 0.8853333333333333 kappa 0.9146666666666666 kappa 0.9013333333333333 kappa 0.9093333333333333 kappa 0.9013333333333333 kappa 0.8986666666666667 kappa 0.8973333333333333 kappa 0.9012066817366208 kappa 0.8931958635676558 kappa 0.9158915984143877 kb_relative_information_score 676.9985178224472 kb_relative_information_score 685.2301605247313 kb_relative_information_score 679.3779101294954 kb_relative_information_score 687.1068440469554 kb_relative_information_score 681.4526107302878 kb_relative_information_score 680.6743482532377 kb_relative_information_score 682.6531751845865 kb_relative_information_score 685.5262429979753 kb_relative_information_score 681.1388146151737 kb_relative_information_score 689.0222720701933 mean_absolute_error 0.02020547605237239 mean_absolute_error 0.018986945402588173 mean_absolute_error 0.019726185975765514 mean_absolute_error 0.018905296380044578 mean_absolute_error 0.01936511361851406 mean_absolute_error 0.019425326542443947 mean_absolute_error 0.019241503195630137 mean_absolute_error 0.018932902210951872 mean_absolute_error 0.019111717040301842 mean_absolute_error 0.01809951148909509 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 0.8925310426360232 [0.862069,0.709677,0.90625,0.818182,0.741935,0.931034,0.9,1,0.966667,0.896552,0.84375,0.878788,0.923077,0.787879,0.966667,0.78125,0.925926,0.935484,0.882353,0.923077,0.933333,0.903226,0.956522,0.931034,0.967742,0.933333] precision 0.9213312666304427 [0.823529,0.892857,0.967742,0.823529,0.818182,0.882353,0.878788,1,0.935484,0.823529,0.892857,1,0.925926,0.866667,0.967742,0.92,0.965517,0.935484,1,0.961538,0.964286,0.774194,0.966667,1,0.967742,1] precision 0.9112649643118862 [0.805556,0.925926,0.966667,0.846154,0.848485,0.903226,0.818182,0.966667,0.878788,0.83871,0.84375,1,0.928571,0.896552,0.909091,0.925926,1,0.964286,0.931034,0.931034,0.933333,0.7,0.964286,0.966667,1,1] precision 0.9166246321108609 [0.935484,0.8,0.903226,0.875,0.892857,0.9,0.789474,1,0.878788,0.9,0.852941,0.933333,0.896552,0.884615,0.935484,0.925926,1,0.966667,0.965517,0.96,0.90625,0.857143,1,0.9375,0.935484,1] precision 0.9077858112063102 [0.848485,0.818182,1,0.84375,0.8,0.9,0.966667,0.964286,0.9375,0.903226,0.866667,0.966667,0.875,0.736842,0.967742,0.875,0.935484,1,0.925926,0.83871,0.9,0.84375,0.956522,0.967742,1,0.964286] precision 0.9053705816171463 [0.903226,0.8,1,0.821429,0.851852,0.892857,0.828571,0.966667,0.967742,0.933333,0.8125,0.964286,0.96,0.878788,0.878788,0.875,0.931034,0.967742,0.875,0.962963,0.935484,0.764706,0.965517,0.935484,1,0.866667] precision 0.9040558353227438 [0.848485,0.823529,0.931034,0.923077,0.851852,0.903226,0.870968,0.965517,0.857143,0.866667,0.933333,1,0.78125,0.923077,1,0.785714,0.903226,0.966667,1,0.852941,0.903226,0.806452,0.878788,0.967742,1,0.961538] precision 0.9066135448650092 [0.84375,0.833333,0.966667,0.928571,0.8,0.9375,0.851852,0.882353,0.882353,0.862069,0.933333,0.903226,0.933333,0.931034,0.870968,0.857143,0.857143,0.966667,1,0.857143,0.928571,0.8125,1,1,1,0.933333] precision 0.9024365721500142 [0.857143,0.8125,1,0.827586,0.923077,0.962963,0.923077,0.9375,0.931034,0.742857,0.96,0.966667,0.88,0.848485,1,0.75,0.870968,0.90625,1,0.958333,0.896552,0.742857,0.896552,0.967742,1,0.903226] precision 0.9221502889131732 [0.857143,0.931034,1,0.875,0.875,1,0.928571,0.9375,0.935484,0.818182,0.83871,0.771429,0.857143,0.787879,0.965517,0.925926,0.965517,0.9375,0.967742,0.935484,0.967742,0.9,1,1,1,1] predictive_accuracy 0.8897435897435898 predictive_accuracy 0.9179487179487179 predictive_accuracy 0.9051282051282051 predictive_accuracy 0.9128205128205128 predictive_accuracy 0.9051282051282051 predictive_accuracy 0.9025641025641026 predictive_accuracy 0.9012820512820512 predictive_accuracy 0.9050064184852374 predictive_accuracy 0.8973042362002568 predictive_accuracy 0.9191270860077022 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 0.8897435897435897 [0.833333,0.733333,0.966667,0.9,0.766667,0.9,0.9,0.933333,0.966667,0.866667,0.9,0.966667,0.8,0.866667,0.966667,0.833333,0.833333,0.966667,1,0.8,0.933333,0.933333,0.733333,0.9,1,0.933333] recall 0.9179487179487179 [0.933333,0.833333,1,0.933333,0.9,1,0.966667,0.966667,0.966667,0.933333,0.833333,1,0.833333,0.866667,1,0.766667,0.933333,0.966667,0.933333,0.833333,0.9,0.8,0.966667,0.933333,1,0.866667] recall 0.9051282051282051 [0.966667,0.833333,0.966667,0.733333,0.933333,0.933333,0.9,0.966667,0.966667,0.866667,0.9,0.866667,0.866667,0.866667,1,0.833333,0.9,0.9,0.9,0.9,0.933333,0.933333,0.9,0.966667,1,0.8] recall 0.9128205128205128 [0.966667,0.933333,0.933333,0.933333,0.833333,0.9,1,0.966667,0.966667,0.9,0.966667,0.933333,0.866667,0.766667,0.966667,0.833333,0.933333,0.966667,0.933333,0.8,0.966667,0.8,0.8,1,0.966667,0.9] recall 0.9051282051282051 [0.933333,0.9,0.966667,0.9,0.666667,0.9,0.966667,0.9,1,0.933333,0.866667,0.966667,0.7,0.933333,1,0.933333,0.966667,1,0.833333,0.866667,0.9,0.9,0.733333,1,0.966667,0.9] recall 0.9025641025641026 [0.933333,0.933333,0.9,0.766667,0.766667,0.833333,0.966667,0.966667,1,0.933333,0.866667,0.9,0.8,0.966667,0.966667,0.7,0.9,1,0.933333,0.866667,0.966667,0.866667,0.933333,0.966667,0.966667,0.866667] recall 0.9012820512820513 [0.933333,0.933333,0.9,0.8,0.766667,0.933333,0.9,0.933333,1,0.866667,0.933333,0.933333,0.833333,0.8,0.9,0.733333,0.933333,0.966667,0.933333,0.966667,0.933333,0.833333,0.966667,1,0.966667,0.833333] recall 0.9050064184852374 [0.9,0.833333,0.966667,0.866667,0.8,1,0.766667,1,1,0.833333,0.933333,0.933333,0.965517,0.9,0.9,1,0.8,0.966667,1,0.8,0.866667,0.866667,0.8,0.933333,0.966667,0.933333] recall 0.8973042362002568 [1,0.866667,0.9,0.8,0.8,0.896552,0.8,1,0.9,0.866667,0.8,0.966667,0.733333,0.933333,1,0.9,0.9,0.966667,1,0.766667,0.866667,0.866667,0.866667,1,1,0.933333] recall 0.9191270860077022 [0.8,0.9,1,0.933333,0.933333,0.896552,0.866667,1,0.966667,0.9,0.866667,0.9,0.8,0.866667,0.933333,0.833333,0.933333,1,1,0.966667,1,0.9,0.833333,1,0.966667,0.9] relative_absolute_error 0.2731780362280731 relative_absolute_error 0.25670350184299057 relative_absolute_error 0.2666980343923481 relative_absolute_error 0.2555996070582011 relative_absolute_error 0.2618163361223085 relative_absolute_error 0.2626304148538406 relative_absolute_error 0.26014512320491784 relative_absolute_error 0.2559728765350814 relative_absolute_error 0.25839049748885895 relative_absolute_error 0.24470547403514387 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 0.08484287542581037 root_mean_squared_error 0.0810851477969681 root_mean_squared_error 0.0828396580340361 root_mean_squared_error 0.08055096596602344 root_mean_squared_error 0.08286995201003014 root_mean_squared_error 0.08307262881818887 root_mean_squared_error 0.0813691818978918 root_mean_squared_error 0.08060671653093389 root_mean_squared_error 0.081490012315738 root_mean_squared_error 0.0783280288972302 root_relative_squared_error 0.44118293476855525 root_relative_squared_error 0.4216427518712512 root_relative_squared_error 0.43076620474323696 root_relative_squared_error 0.4188650064601792 root_relative_squared_error 0.4309237334121768 root_relative_squared_error 0.43197765277292716 root_relative_squared_error 0.42311972913765045 root_relative_squared_error 0.419154972664092 root_relative_squared_error 0.42374818357220884 root_relative_squared_error 0.40730586515793904 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 252838.19730999946 usercpu_time_millis 241655.1646730004 usercpu_time_millis 241377.5104479996 usercpu_time_millis 245986.0323329999 usercpu_time_millis 243256.48571500005 usercpu_time_millis 244635.1155440002 usercpu_time_millis 242395.91288100064 usercpu_time_millis 240680.74072299985 usercpu_time_millis 241128.31027399987 usercpu_time_millis 244918.6291670003 usercpu_time_millis_testing 58.66417199968055 usercpu_time_millis_testing 59.01889200004007 usercpu_time_millis_testing 61.02966699972967 usercpu_time_millis_testing 59.93253799988452 usercpu_time_millis_testing 65.11425300004703 usercpu_time_millis_testing 58.91286800033413 usercpu_time_millis_testing 62.76572600017971 usercpu_time_millis_testing 58.86914099937712 usercpu_time_millis_testing 58.42875100006495 usercpu_time_millis_testing 58.27173400030006 usercpu_time_millis_training 252779.5331379998 usercpu_time_millis_training 241596.14578100035 usercpu_time_millis_training 241316.48078099987 usercpu_time_millis_training 245926.09979500002 usercpu_time_millis_training 243191.371462 usercpu_time_millis_training 244576.20267599987 usercpu_time_millis_training 242333.14715500045 usercpu_time_millis_training 240621.8715820005 usercpu_time_millis_training 241069.8815229998 usercpu_time_millis_training 244860.357433