Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.1131, kappa: 0.0439, kb_relative_information_score: 200.2514, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.685, predictive_accuracy: 0.1395, prior_entropy: 3.3219, recall: 0.1395, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.821, kappa: 0.8022, kb_relative_information_score: 1627.7103, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8086, kappa: 0.7872, kb_relative_information_score: 1526.7676, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8102, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6946, kappa: 0.6611, kb_relative_information_score: 1362.0879, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7192, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8227, kappa: 0.8044, kb_relative_information_score: 1478.2119, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8238, kappa: 0.805, kb_relative_information_score: 1520.6169, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8242, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.1428, kappa: 0.0661, kb_relative_information_score: 242.0817, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6979, predictive_accuracy: 0.1595, prior_entropy: 3.3219, recall: 0.1595, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.41, root_relative_squared_error: 1.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7957, kappa: 0.7739, kb_relative_information_score: 1545.5112, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7973, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7879, kappa: 0.7672, kb_relative_information_score: 1561.8276, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.1473, kappa: 0.0694, kb_relative_information_score: 248.3562, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7031, predictive_accuracy: 0.1625, prior_entropy: 3.3219, recall: 0.1625, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4093, root_relative_squared_error: 1.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8268, kappa: 0.8083, kb_relative_information_score: 1639.2137, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8273, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7713, kappa: 0.7478, kb_relative_information_score: 1525.2261, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.7102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8101, kappa: 0.79, kb_relative_information_score: 1569.5236, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8105, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8178, kappa: 0.7983, kb_relative_information_score: 1501.4807, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8228, kappa: 0.8039, kb_relative_information_score: 1522.2114, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8231, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8228, kappa: 0.8033, kb_relative_information_score: 1553.6762, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8235, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8403, kappa: 0.8222, kb_relative_information_score: 1665.3576, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.7978, kappa: 0.775, kb_relative_information_score: 1522.0209, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8425, kappa: 0.8256, kb_relative_information_score: 1671.6321, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0681, kappa: 0.0144, kb_relative_information_score: 144.8262, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.113, prior_entropy: 3.3219, recall: 0.113, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5814, f_measure: 0.2582, kappa: 0.1628, kb_relative_information_score: 424.0435, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7159, predictive_accuracy: 0.2465, prior_entropy: 3.3219, recall: 0.2465, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3882, root_relative_squared_error: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6949, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7967, kappa: 0.7733, kb_relative_information_score: 1548.7921, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8147, kappa: 0.7956, kb_relative_information_score: 1478.1608, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7955, kappa: 0.7739, kb_relative_information_score: 1438.6383, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7965, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8139, kappa: 0.7928, kb_relative_information_score: 1570.3625, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8157, kappa: 0.795, kb_relative_information_score: 1538.0843, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8176, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8131, kappa: 0.7917, kb_relative_information_score: 1570.9299, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8154, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8424, kappa: 0.825, kb_relative_information_score: 1670.5864, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8425, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8112, kappa: 0.79, kb_relative_information_score: 1539.7843, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8128, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.083, kappa: 0.0233, kb_relative_information_score: 161.5583, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7309, predictive_accuracy: 0.121, prior_entropy: 3.3219, recall: 0.121, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.839, kappa: 0.8211, kb_relative_information_score: 1663.2661, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8393, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8462, kappa: 0.8289, kb_relative_information_score: 1677.9067, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8466, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.3697, kappa: 0.265, kb_relative_information_score: 616.4628, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7125, predictive_accuracy: 0.3385, prior_entropy: 3.3219, recall: 0.3385, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6946, kappa: 0.6611, kb_relative_information_score: 1362.0879, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7197, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.5634, kappa: 0.4867, kb_relative_information_score: 1033.7201, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6779, predictive_accuracy: 0.538, prior_entropy: 3.3219, recall: 0.538, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8046, kappa: 0.7883, kb_relative_information_score: 1124.4544, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8349, kappa: 0.8167, kb_relative_information_score: 1590.961, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8083, kappa: 0.7872, kb_relative_information_score: 1550.2423, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8026, kappa: 0.78, kb_relative_information_score: 1558.8871, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8054, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.069, kappa: 0.015, kb_relative_information_score: 145.872, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.1135, prior_entropy: 3.3219, recall: 0.1135, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7804, kappa: 0.7572, kb_relative_information_score: 1505.1058, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.783, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8244, kappa: 0.805, kb_relative_information_score: 1536.2027, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.825, kappa: 0.8061, kb_relative_information_score: 1563.4725, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8254, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7949, kappa: 0.7733, kb_relative_information_score: 1533.4073, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8203, kappa: 0.8006, kb_relative_information_score: 1568.2544, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8211, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.2679, kappa: 0.1711, kb_relative_information_score: 439.7298, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7073, predictive_accuracy: 0.254, prior_entropy: 3.3219, recall: 0.254, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.2875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.799, kappa: 0.7767, kb_relative_information_score: 1499.123, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8005, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8111, kappa: 0.7906, kb_relative_information_score: 1540.8268, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8121, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.3029, kappa: 0.2028, kb_relative_information_score: 499.338, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.698, predictive_accuracy: 0.2825, prior_entropy: 3.3219, recall: 0.2825, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.814, kappa: 0.7944, kb_relative_information_score: 1510.6792, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8146, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7485, kappa: 0.7211, kb_relative_information_score: 1475.0297, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7721, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.6987, kappa: 0.6656, kb_relative_information_score: 1370.454, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7215, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8161, kappa: 0.7961, kb_relative_information_score: 1557.9226, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7892, kappa: 0.7722, kb_relative_information_score: 929.3673, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7878, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.695, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7194, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.6998, kappa: 0.6672, kb_relative_information_score: 1373.5913, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7221, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8355, kappa: 0.8172, kb_relative_information_score: 1655.9458, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8382, kappa: 0.8206, kb_relative_information_score: 1578.3493, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7485, kappa: 0.7211, kb_relative_information_score: 1475.0297, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.758, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7641, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7733, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8298, kappa: 0.8111, kb_relative_information_score: 1644.4425, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8066, kappa: 0.7894, kb_relative_information_score: 1148.5512, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8056, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8097, kappa: 0.7906, kb_relative_information_score: 1605.7494, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.813, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8259, kappa: 0.8072, kb_relative_information_score: 1550.3954, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8179, kappa: 0.7983, kb_relative_information_score: 1557.5664, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.128, kappa: 0.0544, kb_relative_information_score: 220.1208, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6959, predictive_accuracy: 0.149, prior_entropy: 3.3219, recall: 0.149, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8032, kappa: 0.7828, kb_relative_information_score: 1591.1088, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8045, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8233, kappa: 0.8039, kb_relative_information_score: 1543.9881, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8243, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8426, kappa: 0.8256, kb_relative_information_score: 1671.6321, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7888, kappa: 0.7667, kb_relative_information_score: 1461.36, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7901, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8174, kappa: 0.7983, kb_relative_information_score: 1521.0344, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8175, kappa: 0.7972, kb_relative_information_score: 1555.6071, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8186, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8149, kappa: 0.7956, kb_relative_information_score: 1581.8034, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8149, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8372, kappa: 0.8206, kb_relative_information_score: 1512.7066, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.837, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8097, kappa: 0.7878, kb_relative_information_score: 1591.054, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8116, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.7803, kappa: 0.7572, kb_relative_information_score: 1517.8499, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7832, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8191, kappa: 0.7994, kb_relative_information_score: 1561.6386, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8265, kappa: 0.8072, kb_relative_information_score: 1534.2845, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8006, kappa: 0.7828, kb_relative_information_score: 1124.1622, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7996, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.7988, kappa: 0.7761, kb_relative_information_score: 1558.8323, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8008, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7148, kappa: 0.6828, kb_relative_information_score: 1402.8725, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7357, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.239, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6777, kappa: 0.6261, kb_relative_information_score: 1296.2052, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7518, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8116, kappa: 0.7922, kb_relative_information_score: 1514.4861, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8057, kappa: 0.7856, kb_relative_information_score: 1576.246, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8055, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8352, kappa: 0.8172, kb_relative_information_score: 1595.8862, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.1977, kappa: 0.1172, kb_relative_information_score: 338.2913, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6634, predictive_accuracy: 0.2055, prior_entropy: 3.3219, recall: 0.2055, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7547, kappa: 0.7278, kb_relative_information_score: 1487.5788, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7645, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7494, kappa: 0.7222, kb_relative_information_score: 1477.1213, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7584, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7924, kappa: 0.7689, kb_relative_information_score: 1536.1719, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.795, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.831, kappa: 0.8133, kb_relative_information_score: 1478.0224, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8312, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8259, kappa: 0.8067, kb_relative_information_score: 1589.7252, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8377, kappa: 0.8206, kb_relative_information_score: 1512.7732, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8379, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8336, kappa: 0.8156, kb_relative_information_score: 1598.4226, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.6859, kappa: 0.6356, kb_relative_information_score: 1313.9831, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7569, predictive_accuracy: 0.672, prior_entropy: 3.3219, recall: 0.672, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8326, kappa: 0.815, kb_relative_information_score: 1525.5255, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.0641, kappa: 0.0122, kb_relative_information_score: 140.6432, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7305, predictive_accuracy: 0.111, prior_entropy: 3.3219, recall: 0.111, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.4055,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs