OpenML
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 158595 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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158595 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.8383, kappa: 0.3385, kb_relative_information_score: 0.152, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8325, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.8404, kappa: 0.3419, kb_relative_information_score: 0.1715, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8353, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.8178, kappa: 0.2338, kb_relative_information_score: 0.0581, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8099, predictive_accuracy: 0.8412, prior_entropy: 0.6212, recall: 0.8412, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7552, kappa: -0.0026, kb_relative_information_score: -0.0591, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7379, predictive_accuracy: 0.7757, prior_entropy: 0.6212, recall: 0.7757, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8327, kappa: 0.2846, kb_relative_information_score: 0.1167, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8362, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8397, kappa: 0.3388, kb_relative_information_score: 0.1739, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8345, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.337, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8238, kappa: 0.2498, kb_relative_information_score: 0.0393, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8213, predictive_accuracy: 0.8511, prior_entropy: 0.6212, recall: 0.8511, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.9158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.8312, kappa: 0.3233, kb_relative_information_score: 0.1768, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8252, predictive_accuracy: 0.8402, prior_entropy: 0.6212, recall: 0.8402, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3625, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7864, kappa: 0.0654, kb_relative_information_score: -0.0493, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7729, predictive_accuracy: 0.8359, prior_entropy: 0.6212, recall: 0.8359, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.8386, kappa: 0.3404, kb_relative_information_score: 0.2444, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8328, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8149, kappa: 0.1927, kb_relative_information_score: -0.004, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8288, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.33, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.8156, kappa: 0.2343, kb_relative_information_score: 0.1693, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8063, predictive_accuracy: 0.835, prior_entropy: 0.6212, recall: 0.835, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3943, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.8443, kappa: 0.3652, kb_relative_information_score: 0.1857, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8391, predictive_accuracy: 0.8563, prior_entropy: 0.6212, recall: 0.8563, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.8479, kappa: 0.3746, kb_relative_information_score: 0.1554, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8437, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.838, kappa: 0.3232, kb_relative_information_score: 0.1447, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8342, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.7932, kappa: 0.1965, kb_relative_information_score: -0.0295, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7901, predictive_accuracy: 0.7966, prior_entropy: 0.6212, recall: 0.7966, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8392, kappa: 0.3392, kb_relative_information_score: 0.1845, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8337, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.8309, kappa: 0.2736, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8372, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.8284, kappa: 0.2611, kb_relative_information_score: 0.3372, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8356, predictive_accuracy: 0.8596, prior_entropy: 0.6212, recall: 0.8596, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8313, kappa: 0.2749, kb_relative_information_score: 0.3439, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.832, kappa: 0.2773, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.84, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.832, kappa: 0.2773, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.84, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8321, kappa: 0.2786, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.839, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8321, kappa: 0.2786, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.839, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.8292, kappa: 0.2649, kb_relative_information_score: 0.3395, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8365, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.8324, kappa: 0.2798, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8399, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8403, kappa: 0.3241, kb_relative_information_score: 0.3529, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8413, predictive_accuracy: 0.863, prior_entropy: 0.6212, recall: 0.863, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.8324, kappa: 0.2798, kb_relative_information_score: 0.3484, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8399, predictive_accuracy: 0.862, prior_entropy: 0.6212, recall: 0.862, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.8309, kappa: 0.2736, kb_relative_information_score: 0.3417, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8372, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.8316, kappa: 0.2761, kb_relative_information_score: 0.3462, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8391, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8111, kappa: 0.1735, kb_relative_information_score: 0.0219, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8295, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, kb_relative_information_score: 0.0051, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, kb_relative_information_score: -0.0009, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, kb_relative_information_score: -0.0387, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.8215, kappa: 0.2842, kb_relative_information_score: 0.2029, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8148, predictive_accuracy: 0.8312, prior_entropy: 0.6212, recall: 0.8312, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4109, root_relative_squared_error: 1.1365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8212, kappa: 0.2347, kb_relative_information_score: 0.0342, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8201, predictive_accuracy: 0.8511, prior_entropy: 0.6212, recall: 0.8511, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8385, kappa: 0.3188, kb_relative_information_score: 0.1159, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8374, predictive_accuracy: 0.8601, prior_entropy: 0.6212, recall: 0.8601, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, kb_relative_information_score: -0.0037, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, kb_relative_information_score: -0.0095, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.838, kappa: 0.3097, kb_relative_information_score: 0.0857, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8419, predictive_accuracy: 0.8634, prior_entropy: 0.6212, recall: 0.8634, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, kb_relative_information_score: -0.0097, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.832, kappa: 0.2833, kb_relative_information_score: 0.0721, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8338, predictive_accuracy: 0.8587, prior_entropy: 0.6212, recall: 0.8587, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, kb_relative_information_score: -0.0048, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8225, kappa: 0.2314, kb_relative_information_score: 0.0405, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8314, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, kb_relative_information_score: -0.002, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, kb_relative_information_score: -0.0075, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7941, kappa: 0.0912, kb_relative_information_score: -0.0067, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8196, predictive_accuracy: 0.8497, prior_entropy: 0.6212, recall: 0.8497, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8263, kappa: 0.2496, kb_relative_information_score: 0.0513, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.835, predictive_accuracy: 0.8592, prior_entropy: 0.6212, recall: 0.8592, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, kb_relative_information_score: -0.0011, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, kb_relative_information_score: -0.0079, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8123, kappa: 0.1796, kb_relative_information_score: 0.038, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8286, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, kb_relative_information_score: 0.0109, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, kb_relative_information_score: -0.043, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8083, kappa: 0.1615, kb_relative_information_score: -0.0046, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8223, predictive_accuracy: 0.8525, prior_entropy: 0.6212, recall: 0.8525, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, kb_relative_information_score: 0.0006, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, kb_relative_information_score: 0.0076, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.341, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, kb_relative_information_score: 0.0073, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, kb_relative_information_score: -0.0363, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, kb_relative_information_score: -0.0051, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, kb_relative_information_score: 0.012, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8233, kappa: 0.2385, kb_relative_information_score: 0.0747, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, kb_relative_information_score: -0.001, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.821, kappa: 0.2232, kb_relative_information_score: 0.064, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, kb_relative_information_score: 0.0096, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, kb_relative_information_score: 0.0264, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, kb_relative_information_score: -0.0015, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8374, kappa: 0.3102, kb_relative_information_score: 0.0911, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8382, predictive_accuracy: 0.8611, prior_entropy: 0.6212, recall: 0.8611, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, kb_relative_information_score: -0.0021, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.8047, kappa: 0.1434, kb_relative_information_score: 0.0204, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8204, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8122, kappa: 0.1803, kb_relative_information_score: 0.0202, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8254, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8286, kappa: 0.2638, kb_relative_information_score: 0.0878, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.8587, prior_entropy: 0.6212, recall: 0.8587, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.8338, kappa: 0.2883, kb_relative_information_score: 0.0779, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8387, predictive_accuracy: 0.8615, prior_entropy: 0.6212, recall: 0.8615, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, kb_relative_information_score: 0.0126, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8229, kappa: 0.2308, kb_relative_information_score: 0.0251, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8592, prior_entropy: 0.6212, recall: 0.8592, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.8351, kappa: 0.2976, kb_relative_information_score: 0.0831, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8606, prior_entropy: 0.6212, recall: 0.8606, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8996,

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