Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91907 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.5309, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9197, kappa: 0.8372, kb_relative_information_score: 1032.5776, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.4913, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.5309, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.8409, kappa: 0.681, kb_relative_information_score: 717.3616, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8472, predictive_accuracy: 0.8404, prior_entropy: 0.9912, recall: 0.8404, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7271, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9209, kappa: 0.8395, kb_relative_information_score: 1051.7626, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9225, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5645, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.5869, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1753, scimark_benchmark: 1254.1389, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1324.0237, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.3067, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, scimark_benchmark: 473.1656, usercpu_time_millis: 340, usercpu_time_millis_testing: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1363.9856, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0147, root_relative_squared_error: 0.0296, scimark_benchmark: 1237.8253, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9197, kappa: 0.8372, kb_relative_information_score: 1028.8428, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4909, scimark_benchmark: 1236.6401, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1335.3203, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, scimark_benchmark: 1248.9888, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.3067, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, scimark_benchmark: 1214.0483, usercpu_time_millis: 160, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9608, mean_absolute_error: 0, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1250.2347, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.5864, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0208, scimark_benchmark: 1238.4774, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1361.7854, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215, usercpu_time_millis: 26.268, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 24.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969, usercpu_time_millis: 3.575, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 3.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941, usercpu_time_millis: 2.58, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1335.3203, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, usercpu_time_millis: 13.257, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 12.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1296.6406, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3305, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1296.6406, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3305, usercpu_time_millis: 84.172, usercpu_time_millis_testing: 14.355, usercpu_time_millis_training: 69.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1331.2488, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243, usercpu_time_millis: 2.468, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 3.394, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 2.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 1306.8195, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1343.4634, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2033, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1345.4992, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1959, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1327.1772, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2548, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 920.0226, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8095, usercpu_time_millis: 0.74, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, usercpu_time_millis: 0.675, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941, usercpu_time_millis: 290.018, usercpu_time_millis_testing: 19.677, usercpu_time_millis_training: 270.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8297, kappa: 0.6561, kb_relative_information_score: 895.5933, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8306, predictive_accuracy: 0.8294, prior_entropy: 0.9912, recall: 0.8294, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8311, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1333.2845, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368, usercpu_time_millis: 2.322, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 1.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 1.236, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7954, kappa: 0.5857, kb_relative_information_score: 814.1624, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8102, predictive_accuracy: 0.8003, prior_entropy: 0.9912, recall: 0.8003, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8993, usercpu_time_millis: 2.597, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 2.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 1331.2488, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9859, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 0.605, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.96, kappa: 0.9194, kb_relative_information_score: 1259.9967, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.962, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1355.678, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.1537, usercpu_time_millis: 7.125, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 7.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1347.5349, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882, usercpu_time_millis: 4.423, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941, usercpu_time_millis: 4.537, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 4.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1329.213, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9852, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.249, usercpu_time_millis: 19.908, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 19.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9394, kappa: 0.877, kb_relative_information_score: 1202.995, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.246, root_relative_squared_error: 0.495, usercpu_time_millis: 84.812, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 84.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941, usercpu_time_millis: 379.495, usercpu_time_millis_testing: 5.243, usercpu_time_millis_training: 374.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1351.6065, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, usercpu_time_millis: 41.37, usercpu_time_millis_testing: 5.538, usercpu_time_millis_training: 35.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9658, kappa: 0.931, kb_relative_information_score: 1276.2829, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.967, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3725, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8691, kappa: 0.7357, kb_relative_information_score: 1017.7397, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8968, predictive_accuracy: 0.8732, prior_entropy: 0.9912, recall: 0.8732, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7167, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 1306.8195, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5954, kappa: 0.1811, kb_relative_information_score: 270.6109, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6006, predictive_accuracy: 0.6057, prior_entropy: 0.9912, recall: 0.6057, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6279, root_relative_squared_error: 1.2637, usercpu_time_millis: 0.789, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969, usercpu_time_millis: 0.438, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, usercpu_time_millis: 2.573, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9345, kappa: 0.8674, kb_relative_information_score: 1188.7446, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5154, usercpu_time_millis: 11.143, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 10.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9285, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9257, kappa: 0.8499, kb_relative_information_score: 1164.3154, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9261, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1347.5349, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9914, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.5731, kappa: 0.137, kb_relative_information_score: 213.6093, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5783, predictive_accuracy: 0.5853, prior_entropy: 0.9912, recall: 0.5853, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.644, root_relative_squared_error: 1.296, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 130.1426, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1337.3561, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969, usercpu_time_millis: 10.921, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 10.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9796, kappa: 0.9589, kb_relative_information_score: 1314.9626, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.2875, usercpu_time_millis: 1.76, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9285, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543, usercpu_time_millis: 1.617, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1310.891, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2976, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.96, kappa: 0.9192, kb_relative_information_score: 1259.9967, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9609, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 1306.8195, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1292.2182, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.2903, scimark_benchmark: 1094.6261, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1331.1396, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1446, scimark_benchmark: 1114.2073, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1324.6691, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2371, scimark_benchmark: 1143.5922, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.5309, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523, scimark_benchmark: 1138.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 1331.2488, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9858, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243, scimark_benchmark: 1121.2016, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1316.9983, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823, scimark_benchmark: 1262.4025, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8281, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0798, scimark_benchmark: 1354.0876, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1361.9256, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.0854, scimark_benchmark: 1318.5639, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9395, kappa: 0.8776, kb_relative_information_score: 1201.6016, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4946, scimark_benchmark: 1328.4793, usercpu_time_millis: 180, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.87, kappa: 0.7364, kb_relative_information_score: 906.7397, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8702, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6009, scimark_benchmark: 537.4367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.941, kappa: 0.8805, kb_relative_information_score: 1182.093, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.941, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4131, scimark_benchmark: 942.5422, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9062, kappa: 0.8095, kb_relative_information_score: 987.6353, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9083, predictive_accuracy: 0.9067, prior_entropy: 0.9912, recall: 0.9067, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.597, scimark_benchmark: 1130.1292, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9301, kappa: 0.8589, kb_relative_information_score: 1131.2075, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9308, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.482, scimark_benchmark: 1058.2369, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8764, kappa: 0.7492, kb_relative_information_score: 1027.9186, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.877, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7063, scimark_benchmark: 706.9882, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9308, kappa: 0.8599, kb_relative_information_score: 1151.9272, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4411, scimark_benchmark: 1056.5886, usercpu_time_millis: 250, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9256, kappa: 0.8493, kb_relative_information_score: 1134.3452, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9256, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4364, scimark_benchmark: 1090.593, usercpu_time_millis: 240, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.0627, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0815, scimark_benchmark: 1189.0647, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9268, kappa: 0.8514, kb_relative_information_score: 1187.8466, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9281, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4513, scimark_benchmark: 1008.2208, usercpu_time_millis: 230, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1325.0847, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1779, scimark_benchmark: 581.3659, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1360.5328, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.0894, scimark_benchmark: 942.5802, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8825, kappa: 0.7618, kb_relative_information_score: 932.9789, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8826, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5871, scimark_benchmark: 1337.5293, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8798, kappa: 0.7569, kb_relative_information_score: 882.5792, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8801, predictive_accuracy: 0.8797, prior_entropy: 0.9912, recall: 0.8797, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6005, scimark_benchmark: 1088.9592, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.5643, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.0838, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.5643, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.0838, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, usercpu_time_millis: 0.357, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1352.6241, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1016, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.7296, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.041, root_relative_squared_error: 0.0824, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.21,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs