OpenML
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: 0.9503, f_measure: 0.8541, kappa: 0.826, kb_relative_information_score: 498.1724, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8566, predictive_accuracy: 0.855, prior_entropy: 2.585, recall: 0.855, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8386, kappa: 0.808, kb_relative_information_score: 492.2623, mean_absolute_error: 0.0642, 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: 0.2311, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8592, kappa: 0.832, kb_relative_information_score: 500.5496, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8615, predictive_accuracy: 0.86, prior_entropy: 2.585, recall: 0.86, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8417, kappa: 0.81, kb_relative_information_score: 505.377, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8459, predictive_accuracy: 0.8417, prior_entropy: 2.585, recall: 0.8417, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8418, kappa: 0.812, kb_relative_information_score: 492.6616, mean_absolute_error: 0.0632, 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: 0.2276, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.203, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8193, kappa: 0.784, kb_relative_information_score: 492.9677, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.822, predictive_accuracy: 0.82, prior_entropy: 2.585, recall: 0.82, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8762, kappa: 0.852, kb_relative_information_score: 512.8199, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8777, predictive_accuracy: 0.8767, prior_entropy: 2.585, recall: 0.8767, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8274, kappa: 0.794, kb_relative_information_score: 492.3471, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8303, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8745, kappa: 0.85, kb_relative_information_score: 510.203, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.876, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8676, kappa: 0.842, kb_relative_information_score: 509.8281, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8693, predictive_accuracy: 0.8683, prior_entropy: 2.585, recall: 0.8683, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8443, kappa: 0.812, kb_relative_information_score: 505.4514, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8478, 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: 0.1982, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8948, kappa: 0.874, kb_relative_information_score: 535.4703, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8952, predictive_accuracy: 0.895, prior_entropy: 2.585, recall: 0.895, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8894, kappa: 0.868, kb_relative_information_score: 535.7655, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 2.585, recall: 0.89, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8729, kappa: 0.848, kb_relative_information_score: 514.1669, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8736, predictive_accuracy: 0.8733, prior_entropy: 2.585, recall: 0.8733, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8474, kappa: 0.818, kb_relative_information_score: 493.8155, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8494, predictive_accuracy: 0.8483, prior_entropy: 2.585, recall: 0.8483, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8291, kappa: 0.796, kb_relative_information_score: 487.0577, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8339, predictive_accuracy: 0.83, prior_entropy: 2.585, recall: 0.83, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8328, kappa: 0.8, kb_relative_information_score: 488.6444, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8387, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8469, kappa: 0.818, kb_relative_information_score: 496.5627, mean_absolute_error: 0.0621, 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: 0.2235, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8897, kappa: 0.868, kb_relative_information_score: 534.8261, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8909, predictive_accuracy: 0.89, prior_entropy: 2.585, recall: 0.89, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8609, kappa: 0.834, kb_relative_information_score: 504.4323, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8625, predictive_accuracy: 0.8617, prior_entropy: 2.585, recall: 0.8617, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8318, kappa: 0.8, kb_relative_information_score: 488.6644, mean_absolute_error: 0.0661, 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: 0.2379, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8626, kappa: 0.836, kb_relative_information_score: 506.9029, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8642, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8317, kappa: 0.8, kb_relative_information_score: 488.1837, mean_absolute_error: 0.0664, 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: 0.239, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8559, kappa: 0.828, kb_relative_information_score: 501.4784, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8582, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8796, kappa: 0.856, kb_relative_information_score: 521.6426, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8559, kappa: 0.828, kb_relative_information_score: 499.9046, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8582, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8759, kappa: 0.852, kb_relative_information_score: 526.2061, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8769, predictive_accuracy: 0.8767, prior_entropy: 2.585, recall: 0.8767, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.832, kappa: 0.798, kb_relative_information_score: 498.2169, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8356, predictive_accuracy: 0.8317, prior_entropy: 2.585, recall: 0.8317, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8331, kappa: 0.8, kb_relative_information_score: 487.287, mean_absolute_error: 0.067, 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: 0.2413, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8599, kappa: 0.832, kb_relative_information_score: 506.0819, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8619, predictive_accuracy: 0.86, prior_entropy: 2.585, recall: 0.86, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8225, kappa: 0.788, kb_relative_information_score: 493.7227, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8255, predictive_accuracy: 0.8233, prior_entropy: 2.585, recall: 0.8233, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.854, kappa: 0.824, kb_relative_information_score: 512.2444, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.857, predictive_accuracy: 0.8533, prior_entropy: 2.585, recall: 0.8533, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8958, kappa: 0.876, kb_relative_information_score: 539.0506, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8963, predictive_accuracy: 0.8967, prior_entropy: 2.585, recall: 0.8967, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8524, kappa: 0.824, kb_relative_information_score: 499.5221, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8547, predictive_accuracy: 0.8533, prior_entropy: 2.585, recall: 0.8533, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.5338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.871, kappa: 0.846, kb_relative_information_score: 510.0465, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8727, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8715, kappa: 0.846, kb_relative_information_score: 515.6203, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8741, predictive_accuracy: 0.8717, prior_entropy: 2.585, recall: 0.8717, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8966, kappa: 0.876, kb_relative_information_score: 539.3328, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.897, predictive_accuracy: 0.8967, prior_entropy: 2.585, recall: 0.8967, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8694, kappa: 0.844, kb_relative_information_score: 513.0917, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 2.585, recall: 0.87, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8474, kappa: 0.818, kb_relative_information_score: 494.4086, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8494, predictive_accuracy: 0.8483, prior_entropy: 2.585, recall: 0.8483, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8844, kappa: 0.862, kb_relative_information_score: 530.7188, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 2.585, recall: 0.885, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8272, kappa: 0.794, kb_relative_information_score: 483.5392, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8317, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8663, kappa: 0.84, kb_relative_information_score: 513.9343, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8678, predictive_accuracy: 0.8667, prior_entropy: 2.585, recall: 0.8667, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8457, kappa: 0.816, kb_relative_information_score: 494.5487, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.848, predictive_accuracy: 0.8467, prior_entropy: 2.585, recall: 0.8467, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8242, kappa: 0.79, kb_relative_information_score: 494.1022, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8262, predictive_accuracy: 0.825, prior_entropy: 2.585, recall: 0.825, relative_absolute_error: 0.2269, 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: 0.9597, f_measure: 0.8322, kappa: 0.8, kb_relative_information_score: 490.6616, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8367, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8557, kappa: 0.828, kb_relative_information_score: 499.5931, mean_absolute_error: 0.0591, 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: 0.2127, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8815, kappa: 0.858, kb_relative_information_score: 522.6913, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8825, predictive_accuracy: 0.8817, prior_entropy: 2.585, recall: 0.8817, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8559, kappa: 0.828, kb_relative_information_score: 498.0121, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8582, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.215, 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: 0.9572, f_measure: 0.8274, kappa: 0.794, kb_relative_information_score: 498.3454, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8301, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8978, kappa: 0.878, kb_relative_information_score: 538.0246, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8985, predictive_accuracy: 0.8983, prior_entropy: 2.585, recall: 0.8983, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8697, kappa: 0.844, kb_relative_information_score: 520.0386, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 2.585, recall: 0.87, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8525, kappa: 0.824, kb_relative_information_score: 502.6315, mean_absolute_error: 0.0555, 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: 0.1998, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.842, kappa: 0.812, kb_relative_information_score: 490.843, mean_absolute_error: 0.0643, 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: 0.2316, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8207, kappa: 0.786, kb_relative_information_score: 493.0637, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8236, predictive_accuracy: 0.8217, prior_entropy: 2.585, recall: 0.8217, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8912, kappa: 0.87, kb_relative_information_score: 533.8521, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8915, predictive_accuracy: 0.8917, prior_entropy: 2.585, recall: 0.8917, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8442, kappa: 0.812, kb_relative_information_score: 504.8259, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8502, predictive_accuracy: 0.8433, prior_entropy: 2.585, recall: 0.8433, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8557, kappa: 0.828, kb_relative_information_score: 504.2241, mean_absolute_error: 0.0545, 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: 0.1962, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8542, kappa: 0.826, kb_relative_information_score: 501.4331, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8562, predictive_accuracy: 0.855, prior_entropy: 2.585, recall: 0.855, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8241, kappa: 0.79, kb_relative_information_score: 495.2568, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8273, predictive_accuracy: 0.825, prior_entropy: 2.585, recall: 0.825, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8574, kappa: 0.83, kb_relative_information_score: 500.7593, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8595, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8626, kappa: 0.836, kb_relative_information_score: 504.9571, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8643, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1935, 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: 0.9594, f_measure: 0.9011, kappa: 0.882, kb_relative_information_score: 538.0641, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9017, predictive_accuracy: 0.9017, prior_entropy: 2.585, recall: 0.9017, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8608, kappa: 0.834, kb_relative_information_score: 507.298, mean_absolute_error: 0.0534, 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: 0.1924, 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: 0.9639, f_measure: 0.8642, kappa: 0.838, kb_relative_information_score: 511.0619, mean_absolute_error: 0.0511, 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: 0.1838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8845, kappa: 0.862, kb_relative_information_score: 530.0927, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8855, predictive_accuracy: 0.885, prior_entropy: 2.585, recall: 0.885, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8541, kappa: 0.826, kb_relative_information_score: 500.1202, mean_absolute_error: 0.0574, 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: 0.2066, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8278, kappa: 0.794, kb_relative_information_score: 493.2505, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8309, predictive_accuracy: 0.8283, prior_entropy: 2.585, recall: 0.8283, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.5417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8557, kappa: 0.828, kb_relative_information_score: 497.6896, mean_absolute_error: 0.0601, 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: 0.2165, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8646, kappa: 0.838, kb_relative_information_score: 517.1988, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8661, predictive_accuracy: 0.865, prior_entropy: 2.585, recall: 0.865, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8743, kappa: 0.85, kb_relative_information_score: 525.2376, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8747, predictive_accuracy: 0.875, prior_entropy: 2.585, recall: 0.875, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8241, kappa: 0.79, kb_relative_information_score: 489.407, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8266, predictive_accuracy: 0.825, prior_entropy: 2.585, recall: 0.825, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8792, kappa: 0.856, kb_relative_information_score: 525.9985, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8325, kappa: 0.8, kb_relative_information_score: 491.54, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.838, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8289, kappa: 0.796, kb_relative_information_score: 488.0472, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8331, predictive_accuracy: 0.83, prior_entropy: 2.585, recall: 0.83, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8491, kappa: 0.82, kb_relative_information_score: 494.8215, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8512, predictive_accuracy: 0.85, prior_entropy: 2.585, recall: 0.85, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.863, kappa: 0.836, kb_relative_information_score: 508.9476, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8646, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8406, kappa: 0.808, kb_relative_information_score: 504.0064, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8446, predictive_accuracy: 0.84, prior_entropy: 2.585, recall: 0.84, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8996, kappa: 0.88, kb_relative_information_score: 537.1223, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8996, predictive_accuracy: 0.9, prior_entropy: 2.585, recall: 0.9, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8574, kappa: 0.83, kb_relative_information_score: 500.0451, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8595, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8682, kappa: 0.842, kb_relative_information_score: 519.7418, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.87, predictive_accuracy: 0.8683, prior_entropy: 2.585, recall: 0.8683, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8257, kappa: 0.792, kb_relative_information_score: 484.214, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8311, predictive_accuracy: 0.8267, prior_entropy: 2.585, recall: 0.8267, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8847, kappa: 0.862, kb_relative_information_score: 527.316, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8853, predictive_accuracy: 0.885, prior_entropy: 2.585, recall: 0.885, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8573, kappa: 0.83, kb_relative_information_score: 501.9003, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8587, predictive_accuracy: 0.8583, prior_entropy: 2.585, recall: 0.8583, relative_absolute_error: 0.2034, 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: 0.96, f_measure: 0.8291, kappa: 0.796, kb_relative_information_score: 488.9177, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8347, predictive_accuracy: 0.83, prior_entropy: 2.585, recall: 0.83, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8559, kappa: 0.828, kb_relative_information_score: 500.7216, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8582, predictive_accuracy: 0.8567, prior_entropy: 2.585, recall: 0.8567, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.197, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8795, kappa: 0.856, kb_relative_information_score: 527.1574, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8797, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8507, kappa: 0.82, kb_relative_information_score: 511.1213, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8537, predictive_accuracy: 0.85, prior_entropy: 2.585, recall: 0.85, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8798, kappa: 0.856, kb_relative_information_score: 523.7039, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 2.585, recall: 0.88, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8525, kappa: 0.824, kb_relative_information_score: 501.6467, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8546, predictive_accuracy: 0.8533, prior_entropy: 2.585, recall: 0.8533, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8865, kappa: 0.864, kb_relative_information_score: 530.1092, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8874, predictive_accuracy: 0.8867, prior_entropy: 2.585, recall: 0.8867, relative_absolute_error: 0.1392, 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: 0.9605, f_measure: 0.8912, kappa: 0.87, kb_relative_information_score: 534.4997, mean_absolute_error: 0.0365, 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: 0.1312, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.171, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8832, kappa: 0.86, kb_relative_information_score: 523.9057, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8853, predictive_accuracy: 0.8833, prior_entropy: 2.585, recall: 0.8833, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.4818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8453, kappa: 0.816, kb_relative_information_score: 496.9895, mean_absolute_error: 0.0613, 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: 0.2206, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8681, kappa: 0.842, kb_relative_information_score: 516.3801, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8713, predictive_accuracy: 0.8683, prior_entropy: 2.585, recall: 0.8683, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8469, kappa: 0.818, kb_relative_information_score: 495.9487, mean_absolute_error: 0.0618, 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: 0.2224, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8239, kappa: 0.79, kb_relative_information_score: 489.8702, mean_absolute_error: 0.0654, 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: 0.2355, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.207, root_relative_squared_error: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8453, kappa: 0.816, kb_relative_information_score: 492.3943, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.847, predictive_accuracy: 0.8467, prior_entropy: 2.585, recall: 0.8467, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8627, kappa: 0.836, kb_relative_information_score: 506.9003, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8638, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8639, kappa: 0.836, kb_relative_information_score: 515.6401, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.8668, predictive_accuracy: 0.8633, prior_entropy: 2.585, recall: 0.8633, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8977, kappa: 0.878, kb_relative_information_score: 538.9463, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.898, predictive_accuracy: 0.8983, prior_entropy: 2.585, recall: 0.8983, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4542,

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