Task
Supervised Classification on synthetic_control

Supervised Classification on synthetic_control

Task 3512 Supervised Classification synthetic_control 12631 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_7 under100k under1m
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12631 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9064, kappa: 0.888, kb_relative_information_score: 539.4825, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9077, predictive_accuracy: 0.9067, prior_entropy: 2.585, recall: 0.9067, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8435, kappa: 0.814, kb_relative_information_score: 493.6614, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 2.585, recall: 0.845, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8749, kappa: 0.85, kb_relative_information_score: 520.3668, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8769, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8628, kappa: 0.836, kb_relative_information_score: 515.3903, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8634, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8881, kappa: 0.866, kb_relative_information_score: 526.1641, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8885, predictive_accuracy: 0.8883, prior_entropy: 2.585, recall: 0.8883, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9012, kappa: 0.882, kb_relative_information_score: 535.7513, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9018, predictive_accuracy: 0.9017, prior_entropy: 2.585, recall: 0.9017, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.839, kappa: 0.806, kb_relative_information_score: 504.1189, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8435, predictive_accuracy: 0.8383, prior_entropy: 2.585, recall: 0.8383, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8349, kappa: 0.802, kb_relative_information_score: 500.3671, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.839, predictive_accuracy: 0.835, prior_entropy: 2.585, recall: 0.835, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8331, kappa: 0.8, kb_relative_information_score: 486.2119, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.839, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.821, kappa: 0.786, kb_relative_information_score: 489.4914, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8244, predictive_accuracy: 0.8217, prior_entropy: 2.585, recall: 0.8217, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8333, kappa: 0.8, kb_relative_information_score: 501.1924, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8359, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 487.9334, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8312, kappa: 0.798, kb_relative_information_score: 485.5218, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8372, predictive_accuracy: 0.8317, prior_entropy: 2.585, recall: 0.8317, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.905, kappa: 0.886, kb_relative_information_score: 537.9148, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9055, predictive_accuracy: 0.905, prior_entropy: 2.585, recall: 0.905, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8664, kappa: 0.84, kb_relative_information_score: 510.1177, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 2.585, recall: 0.8667, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8379, kappa: 0.806, kb_relative_information_score: 501.9413, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8412, predictive_accuracy: 0.8383, prior_entropy: 2.585, recall: 0.8383, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.871, kappa: 0.846, kb_relative_information_score: 510.4916, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8731, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8249, kappa: 0.79, kb_relative_information_score: 495.8284, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8283, predictive_accuracy: 0.825, prior_entropy: 2.585, recall: 0.825, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8829, kappa: 0.86, kb_relative_information_score: 528.0075, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8833, predictive_accuracy: 0.8833, prior_entropy: 2.585, recall: 0.8833, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8171, kappa: 0.782, kb_relative_information_score: 492.85, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8198, predictive_accuracy: 0.8183, prior_entropy: 2.585, recall: 0.8183, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8712, kappa: 0.846, kb_relative_information_score: 507.6842, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8726, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8336, kappa: 0.802, kb_relative_information_score: 488.4074, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 2.585, recall: 0.835, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8263, kappa: 0.792, kb_relative_information_score: 495.71, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8286, predictive_accuracy: 0.8267, prior_entropy: 2.585, recall: 0.8267, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8205, kappa: 0.786, kb_relative_information_score: 491.0419, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8227, predictive_accuracy: 0.8217, prior_entropy: 2.585, recall: 0.8217, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.849, kappa: 0.82, kb_relative_information_score: 498.151, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 2.585, recall: 0.85, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8945, kappa: 0.874, kb_relative_information_score: 539.7818, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8954, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8751, kappa: 0.85, kb_relative_information_score: 521.0387, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8771, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9095, kappa: 0.892, kb_relative_information_score: 541.2201, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 2.585, recall: 0.91, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.172, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8676, kappa: 0.842, kb_relative_information_score: 508.758, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8695, predictive_accuracy: 0.8683, prior_entropy: 2.585, recall: 0.8683, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8828, kappa: 0.86, kb_relative_information_score: 526.9257, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8833, predictive_accuracy: 0.8833, prior_entropy: 2.585, recall: 0.8833, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8915, kappa: 0.87, kb_relative_information_score: 540.219, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8917, predictive_accuracy: 0.8917, prior_entropy: 2.585, recall: 0.8917, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8435, kappa: 0.814, kb_relative_information_score: 492.4678, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 2.585, recall: 0.845, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8264, kappa: 0.792, kb_relative_information_score: 496.7689, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8287, predictive_accuracy: 0.8267, prior_entropy: 2.585, recall: 0.8267, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 486.2311, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8279, kappa: 0.794, kb_relative_information_score: 496.8246, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8311, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8947, kappa: 0.874, kb_relative_information_score: 532.0801, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8949, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8779, kappa: 0.854, kb_relative_information_score: 523.1354, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8785, predictive_accuracy: 0.8783, prior_entropy: 2.585, recall: 0.8783, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 485.9474, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8245, kappa: 0.79, kb_relative_information_score: 496.9004, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8263, predictive_accuracy: 0.825, prior_entropy: 2.585, recall: 0.825, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8559, kappa: 0.828, kb_relative_information_score: 503.3725, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.858, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8264, kappa: 0.792, kb_relative_information_score: 497.1852, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8299, predictive_accuracy: 0.8267, prior_entropy: 2.585, recall: 0.8267, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.203, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8864, kappa: 0.864, kb_relative_information_score: 527.9768, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8869, predictive_accuracy: 0.8867, prior_entropy: 2.585, recall: 0.8867, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9113, kappa: 0.894, kb_relative_information_score: 545.2806, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9115, predictive_accuracy: 0.9117, prior_entropy: 2.585, recall: 0.9117, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8307, kappa: 0.798, kb_relative_information_score: 487.2642, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8352, predictive_accuracy: 0.8317, prior_entropy: 2.585, recall: 0.8317, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8451, kappa: 0.816, kb_relative_information_score: 491.5398, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8466, predictive_accuracy: 0.8467, prior_entropy: 2.585, recall: 0.8467, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8329, kappa: 0.8, kb_relative_information_score: 486.5886, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8379, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8745, kappa: 0.85, kb_relative_information_score: 520.8398, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8644, kappa: 0.838, kb_relative_information_score: 517.1018, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8655, predictive_accuracy: 0.865, prior_entropy: 2.585, recall: 0.865, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.841, kappa: 0.808, kb_relative_information_score: 504.6363, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8461, predictive_accuracy: 0.84, prior_entropy: 2.585, recall: 0.84, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8386, kappa: 0.808, kb_relative_information_score: 491.5911, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 2.585, recall: 0.84, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.901, kappa: 0.882, kb_relative_information_score: 538.8916, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.901, predictive_accuracy: 0.9017, prior_entropy: 2.585, recall: 0.9017, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8749, kappa: 0.85, kb_relative_information_score: 517.4346, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8758, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8437, kappa: 0.812, kb_relative_information_score: 506.6158, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.848, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8469, kappa: 0.818, kb_relative_information_score: 496.0293, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8486, predictive_accuracy: 0.8483, prior_entropy: 2.585, recall: 0.8483, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 487.7186, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8576, kappa: 0.83, kb_relative_information_score: 503.9262, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8598, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8418, kappa: 0.812, kb_relative_information_score: 490.0733, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8435, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8642, kappa: 0.838, kb_relative_information_score: 507.5554, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8659, predictive_accuracy: 0.865, prior_entropy: 2.585, recall: 0.865, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9077, kappa: 0.89, kb_relative_information_score: 542.4867, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9079, predictive_accuracy: 0.9083, prior_entropy: 2.585, recall: 0.9083, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8962, kappa: 0.876, kb_relative_information_score: 534.8242, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8982, predictive_accuracy: 0.8967, prior_entropy: 2.585, recall: 0.8967, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8375, kappa: 0.804, kb_relative_information_score: 501.905, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8425, predictive_accuracy: 0.8367, prior_entropy: 2.585, recall: 0.8367, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8435, kappa: 0.814, kb_relative_information_score: 493.7294, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 2.585, recall: 0.845, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8522, kappa: 0.822, kb_relative_information_score: 510.461, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8561, predictive_accuracy: 0.8517, prior_entropy: 2.585, recall: 0.8517, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8576, kappa: 0.83, kb_relative_information_score: 502.0969, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8597, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.842, kappa: 0.812, kb_relative_information_score: 489.1579, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8431, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8275, kappa: 0.794, kb_relative_information_score: 494.6848, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8296, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8794, kappa: 0.856, kb_relative_information_score: 526.6691, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.4843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8716, kappa: 0.846, kb_relative_information_score: 518.3938, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8743, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8948, kappa: 0.874, kb_relative_information_score: 535.9249, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8953, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8949, kappa: 0.874, kb_relative_information_score: 532.261, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8953, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8557, kappa: 0.828, kb_relative_information_score: 500.0298, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8576, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8683, kappa: 0.842, kb_relative_information_score: 518.9097, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8695, predictive_accuracy: 0.8683, prior_entropy: 2.585, recall: 0.8683, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.842, kappa: 0.812, kb_relative_information_score: 490.9374, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8431, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8576, kappa: 0.83, kb_relative_information_score: 500.6929, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8597, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8688, kappa: 0.844, kb_relative_information_score: 523.528, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 2.585, recall: 0.87, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8351, kappa: 0.802, kb_relative_information_score: 500.1178, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8385, predictive_accuracy: 0.835, prior_entropy: 2.585, recall: 0.835, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8664, kappa: 0.84, kb_relative_information_score: 513.9905, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8671, predictive_accuracy: 0.8667, prior_entropy: 2.585, recall: 0.8667, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8862, kappa: 0.864, kb_relative_information_score: 531.1349, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8865, predictive_accuracy: 0.8867, prior_entropy: 2.585, recall: 0.8867, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8575, kappa: 0.83, kb_relative_information_score: 500.1938, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8596, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.833, kappa: 0.8, kb_relative_information_score: 486.2378, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8388, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8534, kappa: 0.824, kb_relative_information_score: 512.131, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8551, predictive_accuracy: 0.8533, prior_entropy: 2.585, recall: 0.8533, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8576, kappa: 0.83, kb_relative_information_score: 501.5095, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8596, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8779, kappa: 0.854, kb_relative_information_score: 511.8247, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8794, predictive_accuracy: 0.8783, prior_entropy: 2.585, recall: 0.8783, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8951, kappa: 0.874, kb_relative_information_score: 535.9916, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8958, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8525, kappa: 0.824, kb_relative_information_score: 501.2734, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8543, predictive_accuracy: 0.8533, prior_entropy: 2.585, recall: 0.8533, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8608, kappa: 0.834, kb_relative_information_score: 508.5655, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8624, predictive_accuracy: 0.8617, prior_entropy: 2.585, recall: 0.8617, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8557, kappa: 0.828, kb_relative_information_score: 506.5988, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.857, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8608, kappa: 0.834, kb_relative_information_score: 509.3731, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8624, predictive_accuracy: 0.8617, prior_entropy: 2.585, recall: 0.8617, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8469, kappa: 0.818, kb_relative_information_score: 497.9887, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8489, predictive_accuracy: 0.8483, prior_entropy: 2.585, recall: 0.8483, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8541, kappa: 0.826, kb_relative_information_score: 499.0715, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8561, predictive_accuracy: 0.855, prior_entropy: 2.585, recall: 0.855, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.5347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8195, kappa: 0.784, kb_relative_information_score: 493.5564, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8223, predictive_accuracy: 0.82, prior_entropy: 2.585, recall: 0.82, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8728, kappa: 0.848, kb_relative_information_score: 520.523, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8739, predictive_accuracy: 0.8733, prior_entropy: 2.585, recall: 0.8733, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8878, kappa: 0.866, kb_relative_information_score: 533.9159, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 2.585, recall: 0.8883, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8789, kappa: 0.856, kb_relative_information_score: 524.9457, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8795, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8453, kappa: 0.816, kb_relative_information_score: 497.2568, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 2.585, recall: 0.8467, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.199, root_relative_squared_error: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8275, kappa: 0.794, kb_relative_information_score: 497.0196, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8308, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 488.7585, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8453, kappa: 0.816, kb_relative_information_score: 496.6377, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8473, predictive_accuracy: 0.8467, prior_entropy: 2.585, recall: 0.8467, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.842, kappa: 0.812, kb_relative_information_score: 489.052, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8431, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8336, kappa: 0.802, kb_relative_information_score: 486.8344, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 2.585, recall: 0.835, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5605,

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

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

OpenML APIs