8752190 1 Jan van Rijn 3481 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6728348 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 0.0603803510145811 7708 cache_size 200 7708 class_weight null 7708 coef0 0.2139801474303047 7708 decision_function_shape null 7708 degree 4 7708 gamma 0.02740698407352311 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 24841 7708 shrinking false 7708 tol 0.0023213505594983723 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 18420789 description https://api.openml.org/data/download/18420789/description.xml -1 18420790 predictions https://api.openml.org/data/download/18420790/predictions.arff area_under_roc_curve 0.9995591165387951 [0.99992,0.998381,0.999967,0.999216,0.999601,0.999443,0.998885,0.999916,0.999981,0.999391,0.999686,0.999973,0.999271,0.999033,0.999997,0.998663,0.999985,0.99998,0.999675,0.998707,0.999996,0.999268,0.999985,0.999976,0.999999,0.999639] average_cost 0 f_measure 0.9741097549486625 [0.991708,0.914191,0.981697,0.955075,0.958541,0.963087,0.9699,0.996656,0.993333,0.986667,0.989967,0.994992,0.950166,0.951424,0.996667,0.946488,0.995008,0.996678,0.971619,0.961474,0.994975,0.938023,0.980263,0.991653,0.994975,0.961474] kappa 0.9730563034051762 kb_relative_information_score 7490.087714306978 mean_absolute_error 0.0067480132094278845 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 0.9741705422176796 [0.986799,0.905229,0.980066,0.953488,0.953795,0.963087,0.973154,1,0.993333,0.986667,0.993289,0.996656,0.943894,0.956229,0.996667,0.949664,0.993355,0.993377,0.973244,0.96633,1,0.942761,0.967532,0.993311,1,0.96633] predictive_accuracy 0.9740925997178402 prior_entropy 4.700438289429255 recall 0.9740925997178402 [0.996667,0.923333,0.983333,0.956667,0.963333,0.963087,0.966667,0.993333,0.993333,0.986667,0.986667,0.993333,0.956522,0.946667,0.996667,0.943333,0.996667,1,0.97,0.956667,0.99,0.933333,0.993333,0.99,0.99,0.956667] relative_absolute_error 0.0912331458307726 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.043571323862395414 root_relative_squared_error 0.22657089310348927 total_cost 0 area_under_roc_curve 0.9998102564102563 [1,1,0.999867,0.999511,0.999778,0.999911,1,1,1,1,1,1,0.999422,0.999289,1,0.998889,1,1,0.999956,0.999556,0.999956,0.999467,1,0.999822,1,0.999644] area_under_roc_curve 0.9995025641025642 [0.999867,0.998978,1,0.998756,0.999511,1,1,1,0.999867,0.999511,0.997022,1,0.999289,0.998356,1,0.997911,1,0.999778,1,0.999911,1,0.998311,1,1,1,1] area_under_roc_curve 0.9995948717948717 [0.999467,0.998622,0.999911,0.998578,0.999511,0.999822,0.998667,0.999111,1,0.999822,0.999867,1,0.999911,0.999867,1,1,1,1,0.999911,0.999289,1,0.998356,1,1,1,0.998756] area_under_roc_curve 0.9996051282051283 [1,0.998622,1,0.999689,1,0.999778,0.999911,1,1,0.999956,1,1,0.998533,0.998889,1,0.994844,0.999956,1,0.999911,0.999644,1,1,1,1,1,1] area_under_roc_curve 0.9989811965811966 [1,0.997511,1,0.999378,0.999467,0.9984,0.999956,1,1,0.994978,1,1,0.999378,0.997822,0.999956,0.999733,1,1,0.997733,0.9912,1,0.998133,1,1,1,0.999867] area_under_roc_curve 0.9999282051282051 [1,0.999644,1,0.999956,1,0.999956,1,1,1,1,1,0.999644,1,0.999644,1,0.999378,1,1,1,1,1,0.999956,1,0.999956,1,1] area_under_roc_curve 0.9994512820512822 [1,0.998,1,0.999822,0.998711,0.999467,1,1,1,1,1,1,0.997244,0.9964,1,0.996889,0.999911,1,0.999911,0.999956,0.999911,0.999911,1,1,1,0.9996] area_under_roc_curve 0.9995903960950931 [1,0.99684,1,0.997641,0.999466,0.999733,0.99733,1,1,1,1,1,0.999724,0.999822,1,1,1,1,0.999822,0.999421,1,0.999955,1,1,1,0.999599] area_under_roc_curve 0.9995389659468935 [1,0.998086,1,0.999154,1,1,0.994971,1,1,1,1,1,0.999733,0.999822,1,0.999599,1,1,1,0.998086,1,0.999466,1,1,1,0.99911] area_under_roc_curve 0.9997344672371609 [1,0.998398,1,1,0.999866,0.997609,0.999777,1,1,1,1,1,0.999243,0.999911,1,0.999688,1,1,0.999288,0.999955,1,0.999421,0.999955,1,1,0.999911] 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 0.9730630407753983 [0.983607,0.983051,0.95082,0.935484,0.966667,0.966667,0.983051,0.983051,1,1,1,0.983607,0.983607,0.983051,0.983051,0.909091,1,1,0.983607,0.95082,1,0.918033,1,0.949153,1,0.903226] f_measure 0.9743972439331211 [0.983607,0.870968,1,0.95082,0.935484,1,0.966667,1,0.983051,0.967742,0.983051,1,0.966667,0.966667,1,0.915254,1,0.983607,1,0.965517,0.983051,0.928571,0.983607,1,1,1] f_measure 0.9692947447031052 [0.983607,0.877193,0.983051,0.965517,0.95082,0.95082,0.983051,0.983051,0.983051,0.966667,0.965517,1,0.967742,0.965517,1,0.95082,1,0.983607,0.965517,0.95082,1,0.90625,0.952381,1,1,0.966667] f_measure 0.9679938490905461 [1,0.90625,0.983607,0.965517,1,0.966667,0.967742,1,1,0.983051,1,1,0.885246,0.881356,1,0.9,0.983051,1,0.966667,0.912281,1,0.947368,0.952381,1,0.983051,0.983607] f_measure 0.9656314218693625 [0.983607,0.875,1,0.933333,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.935484,0.949153,0.983607,0.966667,1,1,0.915254,0.949153,1,0.915254,0.983051,0.983051,1,0.965517] f_measure 0.9872154979303764 [1,0.935484,0.983051,1,0.983051,0.983051,1,1,1,1,1,0.983051,0.949153,0.95082,1,0.965517,1,1,1,1,1,0.983607,0.983607,0.983607,1,0.983607] f_measure 0.9704115972101032 [0.983051,0.95082,0.983607,0.95082,0.912281,0.949153,1,1,0.983607,1,0.983607,1,0.915254,0.918033,1,0.918033,0.983607,1,0.966667,0.983607,0.983051,0.933333,0.983607,1,0.983051,0.965517] f_measure 0.9743780810138841 [1,0.918033,0.965517,0.949153,0.918033,0.95082,0.915254,1,1,1,1,1,0.966667,0.965517,1,0.983607,1,1,0.949153,0.95082,1,0.965517,1,1,1,0.935484] f_measure 0.9768591245099915 [1,0.881356,1,0.903226,0.983607,0.983051,0.949153,1,1,0.983051,0.983607,1,0.966667,0.966667,1,0.967742,1,1,1,0.983051,1,0.9,1,1,1,0.947368] f_measure 0.9819476013814977 [1,0.947368,0.967742,1,0.983607,0.964286,0.966667,1,0.983607,1,1,1,0.965517,0.967742,1,0.983607,0.983607,1,0.967742,0.966667,0.983051,0.983607,0.966667,1,0.983051,0.965517] kappa 0.972 kappa 0.9733333333333333 kappa 0.968 kappa 0.9666666666666667 kappa 0.964 kappa 0.9866666666666667 kappa 0.9693333333333334 kappa 0.9732991489317946 kappa 0.9759691928548537 kappa 0.9813092761243398 kb_relative_information_score 748.4835543297045 kb_relative_information_score 748.4848556385956 kb_relative_information_score 747.9097274582283 kb_relative_information_score 749.459254193136 kb_relative_information_score 743.8638984492821 kb_relative_information_score 755.58776216454 kb_relative_information_score 746.2474526476019 kb_relative_information_score 750.4464914545971 kb_relative_information_score 749.0509616285644 kb_relative_information_score 750.5537563427253 mean_absolute_error 0.006984883644642651 mean_absolute_error 0.006782196542789465 mean_absolute_error 0.006799704492226801 mean_absolute_error 0.006807437212471046 mean_absolute_error 0.0073477031529478555 mean_absolute_error 0.006053894327638905 mean_absolute_error 0.007083223973939738 mean_absolute_error 0.006252783001613606 mean_absolute_error 0.006713839907137218 mean_absolute_error 0.006653666158665203 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 0.9740485332705856 [0.967742,1,0.935484,0.90625,0.966667,0.966667,1,1,1,1,1,0.967742,0.967742,1,1,1,1,1,0.967742,0.935484,1,0.903226,1,0.965517,1,0.875] precision 0.9752786215453066 [0.967742,0.84375,1,0.935484,0.90625,1,0.966667,1,1,0.9375,1,1,0.966667,0.966667,1,0.931034,1,0.967742,1,1,1,1,0.967742,1,1,1] precision 0.970623488448441 [0.967742,0.925926,1,1,0.935484,0.935484,1,1,1,0.966667,1,1,0.9375,1,1,0.935484,1,0.967742,1,0.935484,1,0.852941,0.909091,1,1,0.966667] precision 0.9691858353422672 [1,0.852941,0.967742,1,1,0.966667,0.9375,1,1,1,1,1,0.870968,0.896552,1,0.9,1,1,0.966667,0.962963,1,1,0.909091,1,1,0.967742] precision 0.9665542208369613 [0.967742,0.823529,1,0.933333,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.90625,0.965517,0.967742,0.966667,1,1,0.931034,0.965517,1,0.931034,1,1,1,1] precision 0.9876238020877897 [1,0.90625,1,1,1,1,1,1,1,1,1,1,0.965517,0.935484,1,1,1,1,1,1,1,0.967742,0.967742,0.967742,1,0.967742] precision 0.9708994482631856 [1,0.935484,0.967742,0.935484,0.962963,0.965517,1,1,0.967742,1,0.967742,1,0.931034,0.903226,1,0.903226,0.967742,1,0.966667,0.967742,1,0.933333,0.967742,1,1,1] precision 0.9750108343174059 [1,0.903226,1,0.965517,0.903226,0.935484,0.931034,1,1,1,1,1,0.935484,1,1,0.967742,1,1,0.965517,0.935484,1,1,1,1,1,0.90625] precision 0.9773233869420832 [1,0.896552,1,0.875,0.967742,0.966667,0.965517,1,1,1,0.967742,1,0.966667,0.966667,1,0.9375,1,1,1,1,1,0.9,1,1,1,1] precision 0.9827166756387428 [1,1,0.9375,1,0.967742,1,0.966667,1,0.967742,1,1,1,1,0.9375,1,0.967742,0.967742,1,0.9375,0.966667,1,0.967742,0.966667,1,1,1] predictive_accuracy 0.9730769230769231 predictive_accuracy 0.9743589743589743 predictive_accuracy 0.9692307692307692 predictive_accuracy 0.967948717948718 predictive_accuracy 0.9653846153846153 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9705128205128206 predictive_accuracy 0.9743260590500641 predictive_accuracy 0.9768934531450577 predictive_accuracy 0.982028241335045 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 0.9730769230769231 [1,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.833333,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333] recall 0.9743589743589743 [1,0.9,1,0.966667,0.966667,1,0.966667,1,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,1,0.933333,0.966667,0.866667,1,1,1,1] recall 0.9692307692307692 [1,0.833333,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.933333,1,1,0.933333,1,0.966667,1,1,0.933333,0.966667,1,0.966667,1,1,1,0.966667] recall 0.967948717948718 [1,0.966667,1,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.9,0.866667,1,0.9,0.966667,1,0.966667,0.866667,1,0.9,1,1,0.966667,1] recall 0.9653846153846154 [1,0.933333,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.966667,1,1,0.9,0.933333,1,0.9,0.966667,0.966667,1,0.933333] recall 0.9871794871794872 [1,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,1,0.966667,0.933333,0.966667,1,0.933333,1,1,1,1,1,1,1,1,1,1] recall 0.9705128205128205 [0.966667,0.966667,1,0.966667,0.866667,0.933333,1,1,1,1,1,1,0.9,0.933333,1,0.933333,1,1,0.966667,1,0.966667,0.933333,1,1,0.966667,0.933333] recall 0.9743260590500642 [1,0.933333,0.933333,0.933333,0.933333,0.966667,0.9,1,1,1,1,1,1,0.933333,1,1,1,1,0.933333,0.966667,1,0.933333,1,1,1,0.966667] recall 0.9768934531450578 [1,0.866667,1,0.933333,1,1,0.933333,1,1,0.966667,1,1,0.966667,0.966667,1,1,1,1,1,0.966667,1,0.9,1,1,1,0.9] recall 0.982028241335045 [1,0.9,1,1,1,0.931034,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.933333] relative_absolute_error 0.09443562687556806 relative_absolute_error 0.09169529725851301 relative_absolute_error 0.09193200473490579 relative_absolute_error 0.09203655111260799 relative_absolute_error 0.0993409466278544 relative_absolute_error 0.0818486513096775 relative_absolute_error 0.0957651881276647 relative_absolute_error 0.08453763894406269 relative_absolute_error 0.0907711447384605 relative_absolute_error 0.08995759539746379 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 0.0441989767960763 root_mean_squared_error 0.044311435897721546 root_mean_squared_error 0.04481362392542156 root_mean_squared_error 0.04438059530206036 root_mean_squared_error 0.04953599233052122 root_mean_squared_error 0.03597023150742264 root_mean_squared_error 0.04598966343749306 root_mean_squared_error 0.04243558366936753 root_mean_squared_error 0.041498971496774936 root_mean_squared_error 0.04127209253661038 root_relative_squared_error 0.2298346702512643 root_relative_squared_error 0.23041945755669535 root_relative_squared_error 0.23303083519747392 root_relative_squared_error 0.23077908644503636 root_relative_squared_error 0.25758714993296394 root_relative_squared_error 0.18704519644228568 root_relative_squared_error 0.23914624041842483 root_relative_squared_error 0.22066505966773264 root_relative_squared_error 0.2157947126543392 root_relative_squared_error 0.21461494172869514 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 140113.53922000853 usercpu_time_millis 140422.88520900183 usercpu_time_millis 129619.73073799163 usercpu_time_millis 140279.1222109954 usercpu_time_millis 140474.99277201132 usercpu_time_millis 121446.63758200477 usercpu_time_millis 121713.63387200108 usercpu_time_millis 140131.81147399882 usercpu_time_millis 121271.44606799993 usercpu_time_millis 120931.48227799975 usercpu_time_millis_testing 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