Task
Supervised Classification on splice

Supervised Classification on splice

Task 45 Supervised Classification splice 15444 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

15444 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9356, kappa: 0.8952, kb_relative_information_score: 2824.628, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9358, predictive_accuracy: 0.9354, prior_entropy: 1.4804, recall: 0.9354, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9372, kappa: 0.8978, kb_relative_information_score: 2830.1786, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9375, predictive_accuracy: 0.937, prior_entropy: 1.4804, recall: 0.937, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9355, kappa: 0.8954, kb_relative_information_score: 2835.2714, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9359, predictive_accuracy: 0.9354, prior_entropy: 1.4804, recall: 0.9354, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9396, kappa: 0.9019, kb_relative_information_score: 2830.075, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9398, predictive_accuracy: 0.9395, prior_entropy: 1.4804, recall: 0.9395, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9439, kappa: 0.9089, kb_relative_information_score: 2840.5547, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 1.4804, recall: 0.9439, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.177, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9318, kappa: 0.8891, kb_relative_information_score: 2817.6414, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9321, predictive_accuracy: 0.9317, prior_entropy: 1.4804, recall: 0.9317, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9378, kappa: 0.8988, kb_relative_information_score: 2832.3224, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9381, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9417, kappa: 0.9053, kb_relative_information_score: 2824.3518, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 1.4804, recall: 0.9417, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9386, kappa: 0.9001, kb_relative_information_score: 2826.7419, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9392, predictive_accuracy: 0.9382, prior_entropy: 1.4804, recall: 0.9382, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9417, kappa: 0.9053, kb_relative_information_score: 2824.3753, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 1.4804, recall: 0.9417, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9458, kappa: 0.912, kb_relative_information_score: 2840.1585, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 1.4804, recall: 0.9458, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9365, kappa: 0.8968, kb_relative_information_score: 2858.9524, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9367, predictive_accuracy: 0.9364, prior_entropy: 1.4804, recall: 0.9364, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.943, kappa: 0.9074, kb_relative_information_score: 2838.9825, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 1.4804, recall: 0.9429, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9343, kappa: 0.8934, kb_relative_information_score: 2834.1201, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9347, predictive_accuracy: 0.9342, prior_entropy: 1.4804, recall: 0.9342, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9432, kappa: 0.9078, kb_relative_information_score: 2828.3992, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 1.4804, recall: 0.9433, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9383, kappa: 0.8996, kb_relative_information_score: 2828.0726, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9389, predictive_accuracy: 0.9379, prior_entropy: 1.4804, recall: 0.9379, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9341, kappa: 0.8927, kb_relative_information_score: 2828.0343, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9344, predictive_accuracy: 0.9339, prior_entropy: 1.4804, recall: 0.9339, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.182, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9401, kappa: 0.9028, kb_relative_information_score: 2804.3434, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9408, predictive_accuracy: 0.9398, prior_entropy: 1.4804, recall: 0.9398, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.933, kappa: 0.8913, kb_relative_information_score: 2825.0966, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9333, predictive_accuracy: 0.9329, prior_entropy: 1.4804, recall: 0.9329, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9312, kappa: 0.888, kb_relative_information_score: 2818.4061, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9314, predictive_accuracy: 0.931, prior_entropy: 1.4804, recall: 0.931, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9381, kappa: 0.8995, kb_relative_information_score: 2816.1067, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 1.4804, recall: 0.9379, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.941, kappa: 0.9043, kb_relative_information_score: 2801.7573, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9416, predictive_accuracy: 0.9408, prior_entropy: 1.4804, recall: 0.9408, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.941, kappa: 0.9043, kb_relative_information_score: 2801.0257, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9416, predictive_accuracy: 0.9408, prior_entropy: 1.4804, recall: 0.9408, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9427, kappa: 0.9069, kb_relative_information_score: 2828.9052, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 1.4804, recall: 0.9426, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9352, kappa: 0.8947, kb_relative_information_score: 2842.5928, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9354, predictive_accuracy: 0.9351, prior_entropy: 1.4804, recall: 0.9351, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9383, kappa: 0.8999, kb_relative_information_score: 2816.0319, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9385, predictive_accuracy: 0.9382, prior_entropy: 1.4804, recall: 0.9382, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.937, kappa: 0.8977, kb_relative_information_score: 2849.0622, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 1.4804, recall: 0.937, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9408, kappa: 0.9038, kb_relative_information_score: 2835.5863, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9409, predictive_accuracy: 0.9408, prior_entropy: 1.4804, recall: 0.9408, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9398, kappa: 0.9023, kb_relative_information_score: 2836.5729, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 1.4804, recall: 0.9398, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9377, kappa: 0.8988, kb_relative_information_score: 2841.5162, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9414, kappa: 0.9048, kb_relative_information_score: 2859.5003, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9414, predictive_accuracy: 0.9414, prior_entropy: 1.4804, recall: 0.9414, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9418, kappa: 0.9054, kb_relative_information_score: 2836.8905, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 1.4804, recall: 0.9417, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9318, kappa: 0.8893, kb_relative_information_score: 2826.3211, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9321, predictive_accuracy: 0.9317, prior_entropy: 1.4804, recall: 0.9317, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9437, kappa: 0.9085, kb_relative_information_score: 2840.6902, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9439, predictive_accuracy: 0.9436, prior_entropy: 1.4804, recall: 0.9436, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9374, kappa: 0.8982, kb_relative_information_score: 2832.7504, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9375, predictive_accuracy: 0.9373, prior_entropy: 1.4804, recall: 0.9373, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9429, kappa: 0.9073, kb_relative_information_score: 2827.7235, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9429, predictive_accuracy: 0.9429, prior_entropy: 1.4804, recall: 0.9429, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9465, kappa: 0.9131, kb_relative_information_score: 2842.3886, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9467, predictive_accuracy: 0.9464, prior_entropy: 1.4804, recall: 0.9464, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.94, kappa: 0.9025, kb_relative_information_score: 2845.3649, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9403, predictive_accuracy: 0.9398, prior_entropy: 1.4804, recall: 0.9398, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9362, kappa: 0.8962, kb_relative_information_score: 2830.6445, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9365, predictive_accuracy: 0.9361, prior_entropy: 1.4804, recall: 0.9361, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9429, kappa: 0.9073, kb_relative_information_score: 2836.7914, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9429, predictive_accuracy: 0.9429, prior_entropy: 1.4804, recall: 0.9429, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9406, kappa: 0.9036, kb_relative_information_score: 2808.9061, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.941, predictive_accuracy: 0.9404, prior_entropy: 1.4804, recall: 0.9404, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9318, kappa: 0.8891, kb_relative_information_score: 2821.7436, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9321, predictive_accuracy: 0.9317, prior_entropy: 1.4804, recall: 0.9317, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9425, kappa: 0.9068, kb_relative_information_score: 2828.6456, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 1.4804, recall: 0.9426, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9419, kappa: 0.9058, kb_relative_information_score: 2825.9813, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 1.4804, recall: 0.942, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9377, kappa: 0.8988, kb_relative_information_score: 2834.487, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9379, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9369, kappa: 0.8973, kb_relative_information_score: 2834.3854, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 1.4804, recall: 0.9367, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9389, kappa: 0.9008, kb_relative_information_score: 2825.2385, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9391, predictive_accuracy: 0.9389, prior_entropy: 1.4804, recall: 0.9389, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9426, kappa: 0.9069, kb_relative_information_score: 2834.2113, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 1.4804, recall: 0.9426, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9434, kappa: 0.908, kb_relative_information_score: 2852.7745, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9437, predictive_accuracy: 0.9433, prior_entropy: 1.4804, recall: 0.9433, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9377, kappa: 0.8989, kb_relative_information_score: 2838.8805, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9379, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9356, kappa: 0.8952, kb_relative_information_score: 2827.3418, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 1.4804, recall: 0.9354, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9433, kappa: 0.9079, kb_relative_information_score: 2836.1961, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 1.4804, recall: 0.9433, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9288, kappa: 0.8846, kb_relative_information_score: 2838.9086, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9298, predictive_accuracy: 0.9285, prior_entropy: 1.4804, recall: 0.9285, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9392, kappa: 0.9014, kb_relative_information_score: 2859.3601, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9394, predictive_accuracy: 0.9392, prior_entropy: 1.4804, recall: 0.9392, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9377, kappa: 0.8989, kb_relative_information_score: 2815.272, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9379, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9396, kappa: 0.9019, kb_relative_information_score: 2821.3116, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 1.4804, recall: 0.9395, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9413, kappa: 0.9046, kb_relative_information_score: 2830.0635, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9417, predictive_accuracy: 0.9411, prior_entropy: 1.4804, recall: 0.9411, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9315, kappa: 0.8889, kb_relative_information_score: 2851.1431, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.932, predictive_accuracy: 0.9313, prior_entropy: 1.4804, recall: 0.9313, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9411, kappa: 0.9043, kb_relative_information_score: 2831.1738, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9411, predictive_accuracy: 0.9411, prior_entropy: 1.4804, recall: 0.9411, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9254, kappa: 0.879, kb_relative_information_score: 2824.7505, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9262, predictive_accuracy: 0.9251, prior_entropy: 1.4804, recall: 0.9251, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9356, kappa: 0.8952, kb_relative_information_score: 2821.4285, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9359, predictive_accuracy: 0.9354, prior_entropy: 1.4804, recall: 0.9354, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9426, kappa: 0.9068, kb_relative_information_score: 2827.9679, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 1.4804, recall: 0.9426, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9356, kappa: 0.8952, kb_relative_information_score: 2828.4043, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9357, predictive_accuracy: 0.9354, prior_entropy: 1.4804, recall: 0.9354, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9311, kappa: 0.8883, kb_relative_information_score: 2826.4796, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9315, predictive_accuracy: 0.931, prior_entropy: 1.4804, recall: 0.931, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.941, kappa: 0.9043, kb_relative_information_score: 2800.7341, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9416, predictive_accuracy: 0.9408, prior_entropy: 1.4804, recall: 0.9408, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9401, kappa: 0.9028, kb_relative_information_score: 2801.75, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9408, predictive_accuracy: 0.9398, prior_entropy: 1.4804, recall: 0.9398, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9423, kappa: 0.9064, kb_relative_information_score: 2828.8887, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9424, predictive_accuracy: 0.9423, prior_entropy: 1.4804, recall: 0.9423, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9373, kappa: 0.8979, kb_relative_information_score: 2828.593, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9378, predictive_accuracy: 0.937, prior_entropy: 1.4804, recall: 0.937, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9449, kappa: 0.9105, kb_relative_information_score: 2829.2899, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9451, predictive_accuracy: 0.9448, prior_entropy: 1.4804, recall: 0.9448, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9384, kappa: 0.8998, kb_relative_information_score: 2845.2375, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9386, predictive_accuracy: 0.9382, prior_entropy: 1.4804, recall: 0.9382, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9423, kappa: 0.9064, kb_relative_information_score: 2835.648, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9424, predictive_accuracy: 0.9423, prior_entropy: 1.4804, recall: 0.9423, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9362, kappa: 0.8963, kb_relative_information_score: 2821.4686, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9364, predictive_accuracy: 0.9361, prior_entropy: 1.4804, recall: 0.9361, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9403, kappa: 0.9029, kb_relative_information_score: 2842.5387, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9406, predictive_accuracy: 0.9401, prior_entropy: 1.4804, recall: 0.9401, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9368, kappa: 0.8975, kb_relative_information_score: 2841.7834, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9372, predictive_accuracy: 0.9367, prior_entropy: 1.4804, recall: 0.9367, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9433, kappa: 0.9079, kb_relative_information_score: 2829.6917, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 1.4804, recall: 0.9433, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.182, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9351, kappa: 0.8947, kb_relative_information_score: 2850.1259, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9352, predictive_accuracy: 0.9351, prior_entropy: 1.4804, recall: 0.9351, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.941, kappa: 0.9043, kb_relative_information_score: 2801.1499, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9416, predictive_accuracy: 0.9408, prior_entropy: 1.4804, recall: 0.9408, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9419, kappa: 0.9057, kb_relative_information_score: 2832.4104, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 1.4804, recall: 0.942, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9435, kappa: 0.9083, kb_relative_information_score: 2827.7928, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9435, predictive_accuracy: 0.9436, prior_entropy: 1.4804, recall: 0.9436, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9387, kappa: 0.9002, kb_relative_information_score: 2830.176, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9389, predictive_accuracy: 0.9386, prior_entropy: 1.4804, recall: 0.9386, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9446, kappa: 0.91, kb_relative_information_score: 2826.5933, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9447, predictive_accuracy: 0.9445, prior_entropy: 1.4804, recall: 0.9445, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9395, kappa: 0.9017, kb_relative_information_score: 2833.6819, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 1.4804, recall: 0.9395, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9379, kappa: 0.8989, kb_relative_information_score: 2830.8419, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9384, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9411, kappa: 0.9044, kb_relative_information_score: 2842.3913, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9411, predictive_accuracy: 0.9411, prior_entropy: 1.4804, recall: 0.9411, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9381, kappa: 0.8995, kb_relative_information_score: 2816.1934, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 1.4804, recall: 0.9379, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.939, kappa: 0.9009, kb_relative_information_score: 2808.8756, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9391, predictive_accuracy: 0.9389, prior_entropy: 1.4804, recall: 0.9389, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9302, kappa: 0.8867, kb_relative_information_score: 2840.9261, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9306, predictive_accuracy: 0.9301, prior_entropy: 1.4804, recall: 0.9301, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9366, kappa: 0.8968, kb_relative_information_score: 2830.2708, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.937, predictive_accuracy: 0.9364, prior_entropy: 1.4804, recall: 0.9364, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9359, kappa: 0.8958, kb_relative_information_score: 2817.0148, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.936, predictive_accuracy: 0.9357, prior_entropy: 1.4804, recall: 0.9357, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9422, kappa: 0.9061, kb_relative_information_score: 2812.4223, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 1.4804, recall: 0.942, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9362, kappa: 0.8962, kb_relative_information_score: 2829.0412, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9365, predictive_accuracy: 0.9361, prior_entropy: 1.4804, recall: 0.9361, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9366, kappa: 0.8968, kb_relative_information_score: 2828.3553, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.937, predictive_accuracy: 0.9364, prior_entropy: 1.4804, recall: 0.9364, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9377, kappa: 0.8989, kb_relative_information_score: 2816.1118, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9379, predictive_accuracy: 0.9376, prior_entropy: 1.4804, recall: 0.9376, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9284, kappa: 0.8839, kb_relative_information_score: 2845.4551, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.929, predictive_accuracy: 0.9282, prior_entropy: 1.4804, recall: 0.9282, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9436, kappa: 0.9084, kb_relative_information_score: 2845.1069, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9437, predictive_accuracy: 0.9436, prior_entropy: 1.4804, recall: 0.9436, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9365, kappa: 0.8968, kb_relative_information_score: 2810.5515, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9367, predictive_accuracy: 0.9364, prior_entropy: 1.4804, recall: 0.9364, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9347, kappa: 0.8937, kb_relative_information_score: 2818.1625, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9349, predictive_accuracy: 0.9345, prior_entropy: 1.4804, recall: 0.9345, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9426, kappa: 0.9069, kb_relative_information_score: 2842.5897, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 1.4804, recall: 0.9426, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.388,

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

OpenML bootcamp

From your own software

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

OpenML APIs