OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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19725 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9498, kappa: 0.8982, kb_relative_information_score: 9343.7854, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9906, recall: 0.9498, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 9103.9094, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9564, kappa: 0.9115, kb_relative_information_score: 10072.6808, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9906, recall: 0.9564, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7483, kappa: 0.5058, kb_relative_information_score: 5852.1322, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8364, predictive_accuracy: 0.7691, prior_entropy: 0.9906, recall: 0.7691, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9473, kappa: 0.8931, kb_relative_information_score: 9868.888, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9406, kappa: 0.8794, kb_relative_information_score: 9718.0814, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9407, prior_entropy: 0.9906, recall: 0.9407, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 10341.6873, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 10374.2942, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9437, kappa: 0.8857, kb_relative_information_score: 9787.3709, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9438, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9552, kappa: 0.9092, kb_relative_information_score: 9430.1932, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9488, kappa: 0.8961, kb_relative_information_score: 9123.1451, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9906, recall: 0.9488, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9472, kappa: 0.8931, kb_relative_information_score: 9277.5099, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.9906, recall: 0.9473, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9334, kappa: 0.8646, kb_relative_information_score: 4429.9773, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9359, predictive_accuracy: 0.9338, prior_entropy: 0.9906, recall: 0.9338, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8562, kappa: 0.7175, kb_relative_information_score: 7820.7705, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8849, predictive_accuracy: 0.8564, prior_entropy: 0.9906, recall: 0.8564, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 10431.3561, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9906, recall: 0.9723, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9506, kappa: 0.8999, kb_relative_information_score: 9944.2914, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9508, predictive_accuracy: 0.9507, prior_entropy: 0.9906, recall: 0.9507, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.222, root_relative_squared_error: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9717, kappa: 0.9425, kb_relative_information_score: 9528.2727, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9906, recall: 0.9717, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 9622.2988, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9364, prior_entropy: 0.9906, recall: 0.9364, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9394, kappa: 0.877, kb_relative_information_score: 9691.5883, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9395, prior_entropy: 0.9906, recall: 0.9395, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.246, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9724, kappa: 0.944, kb_relative_information_score: 10433.3941, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9487, kappa: 0.8959, kb_relative_information_score: 9901.4949, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.949, predictive_accuracy: 0.9488, prior_entropy: 0.9906, recall: 0.9488, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9437, kappa: 0.8858, kb_relative_information_score: 9500.637, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9446, kappa: 0.8877, kb_relative_information_score: 9165.3077, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9906, recall: 0.9446, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9562, kappa: 0.9112, kb_relative_information_score: 9530.1926, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.9906, recall: 0.9562, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9427, kappa: 0.8839, kb_relative_information_score: 9194.4613, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9472, kappa: 0.893, kb_relative_information_score: 9456.7249, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.9906, recall: 0.9473, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9427, kappa: 0.8839, kb_relative_information_score: 9211.8847, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9652, kappa: 0.9295, kb_relative_information_score: 10272.3978, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9906, recall: 0.9653, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.5551, kappa: 0.1948, kb_relative_information_score: 2848.2265, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7712, predictive_accuracy: 0.6357, prior_entropy: 0.9906, recall: 0.6357, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9634, kappa: 0.9259, kb_relative_information_score: 10231.6392, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9906, recall: 0.9635, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9365, kappa: 0.8712, kb_relative_information_score: 9626.3746, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9367, predictive_accuracy: 0.9366, prior_entropy: 0.9906, recall: 0.9366, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9547, kappa: 0.9082, kb_relative_information_score: 9632.2751, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9906, recall: 0.9548, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9495, kappa: 0.8976, kb_relative_information_score: 9919.8362, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9906, recall: 0.9496, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 9146.7973, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9906, recall: 0.952, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9501, kappa: 0.8988, kb_relative_information_score: 9467.4022, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.95, predictive_accuracy: 0.9501, prior_entropy: 0.9906, recall: 0.9501, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 10300.9288, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9906, recall: 0.9665, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9649, kappa: 0.9288, kb_relative_information_score: 9783.1839, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9906, recall: 0.9649, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 10455.8113, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9529, kappa: 0.9046, kb_relative_information_score: 9396.4201, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.9906, recall: 0.953, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9671, kappa: 0.9332, kb_relative_information_score: 10313.1563, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9906, recall: 0.9671, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9474, kappa: 0.8933, kb_relative_information_score: 8903.6104, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9474, kappa: 0.8932, kb_relative_information_score: 9870.926, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.952, kappa: 0.9028, kb_relative_information_score: 9474.2479, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.9906, recall: 0.9521, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9744, kappa: 0.9481, kb_relative_information_score: 10478.2285, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9906, recall: 0.9744, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9464, kappa: 0.8912, kb_relative_information_score: 8148.2065, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9342, kappa: 0.8665, kb_relative_information_score: 9575.4264, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9344, predictive_accuracy: 0.9343, prior_entropy: 0.9906, recall: 0.9343, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.954, kappa: 0.9067, kb_relative_information_score: 10019.6947, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.9906, recall: 0.954, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9397, kappa: 0.8776, kb_relative_information_score: 9697.7021, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9398, predictive_accuracy: 0.9398, prior_entropy: 0.9906, recall: 0.9398, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9386, kappa: 0.8754, kb_relative_information_score: 9673.247, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9387, prior_entropy: 0.9906, recall: 0.9387, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9443, kappa: 0.8877, kb_relative_information_score: 9797.5606, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9461, predictive_accuracy: 0.9442, prior_entropy: 0.9906, recall: 0.9442, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9517, kappa: 0.902, kb_relative_information_score: 9188.9731, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9906, recall: 0.9517, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9447, kappa: 0.8879, kb_relative_information_score: 9811.8261, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9906, recall: 0.9448, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9255, kappa: 0.8487, kb_relative_information_score: 9383.8612, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, predictive_accuracy: 0.9258, prior_entropy: 0.9906, recall: 0.9258, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9385, kappa: 0.8752, kb_relative_information_score: 9671.209, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9303, kappa: 0.8586, kb_relative_information_score: 9487.7955, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9306, predictive_accuracy: 0.9304, prior_entropy: 0.9906, recall: 0.9304, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 8234.0567, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9499, predictive_accuracy: 0.9498, prior_entropy: 0.9906, recall: 0.9498, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9593, kappa: 0.9175, kb_relative_information_score: 9972.886, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9595, predictive_accuracy: 0.9594, prior_entropy: 0.9906, recall: 0.9594, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 10252.0185, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.9906, recall: 0.9644, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9697, kappa: 0.9385, kb_relative_information_score: 9842.9641, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9906, recall: 0.9697, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9661, kappa: 0.9312, kb_relative_information_score: 10290.7391, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.9906, recall: 0.9661, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9623, kappa: 0.9235, kb_relative_information_score: 9762.558, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9906, recall: 0.9623, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9426, kappa: 0.8836, kb_relative_information_score: 8260.8761, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9429, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9319, kappa: 0.8618, kb_relative_information_score: 9522.4403, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 0.9906, recall: 0.932, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9709, kappa: 0.9409, kb_relative_information_score: 10398.7493, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9906, recall: 0.9709, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9447, kappa: 0.8878, kb_relative_information_score: 9811.8261, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.945, predictive_accuracy: 0.9448, prior_entropy: 0.9906, recall: 0.9448, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.952, kappa: 0.9026, kb_relative_information_score: 9472.0976, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9906, recall: 0.952, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9614, kappa: 0.9216, kb_relative_information_score: 10184.7669, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9906, recall: 0.9614, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 10037.5318, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.155, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 9906.8942, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 10466.0009, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.951, kappa: 0.9006, kb_relative_information_score: 9394.0303, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.9906, recall: 0.951, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.95, kappa: 0.8986, kb_relative_information_score: 9370.4079, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9906, recall: 0.95, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.969, kappa: 0.937, kb_relative_information_score: 10355.9528, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9906, recall: 0.969, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9424, kappa: 0.8832, kb_relative_information_score: 9207.314, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 0.9906, recall: 0.9424, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9553, kappa: 0.9094, kb_relative_information_score: 9543.3733, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.961, kappa: 0.9209, kb_relative_information_score: 10176.6152, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.9906, recall: 0.961, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9559, kappa: 0.9106, kb_relative_information_score: 9619.4126, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10451.7354, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9612, kappa: 0.9213, kb_relative_information_score: 10180.691, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9612, predictive_accuracy: 0.9612, prior_entropy: 0.9906, recall: 0.9612, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 9949.1767, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9538, kappa: 0.9063, kb_relative_information_score: 8989.2637, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.9906, recall: 0.9539, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9418, kappa: 0.8819, kb_relative_information_score: 9744.5744, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9906, recall: 0.9418, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9388, kappa: 0.8758, kb_relative_information_score: 9677.3228, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9389, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9669, kappa: 0.9328, kb_relative_information_score: 9851.4092, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 0.9906, recall: 0.9669, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6345, kappa: 0.3124, kb_relative_information_score: 3956.8593, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7908, predictive_accuracy: 0.6849, prior_entropy: 0.9906, recall: 0.6849, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9545, kappa: 0.9078, kb_relative_information_score: 8813.4182, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9505, kappa: 0.8996, kb_relative_information_score: 8241.1155, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9508, predictive_accuracy: 0.9506, prior_entropy: 0.9906, recall: 0.9506, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4292,

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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