Task
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 3578 Supervised Classification diggle_table_a2 447 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

447 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8759, kappa: 0.861, kb_relative_information_score: 253.2333, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.885, predictive_accuracy: 0.8774, prior_entropy: 3.1238, recall: 0.8774, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9496, kappa: 0.9414, kb_relative_information_score: 289.4273, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9556, predictive_accuracy: 0.9484, prior_entropy: 3.1238, recall: 0.9484, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8733, kappa: 0.8573, kb_relative_information_score: 270.9383, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8852, predictive_accuracy: 0.8742, prior_entropy: 3.1238, recall: 0.8742, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9422, kappa: 0.9341, kb_relative_information_score: 288.6037, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9458, predictive_accuracy: 0.9419, prior_entropy: 3.1238, recall: 0.9419, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8694, kappa: 0.8536, kb_relative_information_score: 269.6909, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8817, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9817, kb_relative_information_score: 303.9592, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9848, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8798, kappa: 0.8646, kb_relative_information_score: 255.2286, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8893, predictive_accuracy: 0.8806, prior_entropy: 3.1238, recall: 0.8806, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.8862, kappa: 0.8718, kb_relative_information_score: 260.9949, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8961, predictive_accuracy: 0.8871, prior_entropy: 3.1238, recall: 0.8871, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9159, kappa: 0.9048, kb_relative_information_score: 285.8157, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9216, predictive_accuracy: 0.9161, prior_entropy: 3.1238, recall: 0.9161, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9839, kappa: 0.9817, kb_relative_information_score: 304.1489, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9844, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8702, kappa: 0.8536, kb_relative_information_score: 268.8973, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.881, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9817, kb_relative_information_score: 299.6097, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9848, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.7424, kappa: 0.7247, kb_relative_information_score: 89.0485, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.7896, predictive_accuracy: 0.7581, prior_entropy: 3.1238, recall: 0.7581, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.958, kappa: 0.9524, kb_relative_information_score: 297.7191, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9585, predictive_accuracy: 0.9581, prior_entropy: 3.1238, recall: 0.9581, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9742, kappa: 0.9707, kb_relative_information_score: 283.3646, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.0309, kb_relative_information_score: 0.2738, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9817, kb_relative_information_score: 303.9592, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9848, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9312, kappa: 0.9231, kb_relative_information_score: 284.3899, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9366, predictive_accuracy: 0.9323, prior_entropy: 3.1238, recall: 0.9323, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.961, kappa: 0.9561, kb_relative_information_score: 294.5861, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9621, predictive_accuracy: 0.9613, prior_entropy: 3.1238, recall: 0.9613, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8895, kappa: 0.8755, kb_relative_information_score: 267.0696, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8949, predictive_accuracy: 0.8903, prior_entropy: 3.1238, recall: 0.8903, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8768, kappa: 0.8609, kb_relative_information_score: 269.2635, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8871, predictive_accuracy: 0.8774, prior_entropy: 3.1238, recall: 0.8774, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.741, kappa: 0.7279, kb_relative_information_score: 89.0305, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8168, predictive_accuracy: 0.7613, prior_entropy: 3.1238, recall: 0.7613, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8702, kappa: 0.8536, kb_relative_information_score: 269.173, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.881, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8324, kappa: 0.8098, kb_relative_information_score: 260.2461, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8417, predictive_accuracy: 0.8323, prior_entropy: 3.1238, recall: 0.8323, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.4101, kappa: 0.4194, kb_relative_information_score: 83.4135, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.3929, predictive_accuracy: 0.4935, prior_entropy: 3.1238, recall: 0.4935, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 302.3419, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8703, kappa: 0.8536, kb_relative_information_score: 271.2454, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8811, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6829, kappa: 0.6729, kb_relative_information_score: 87.7495, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.7535, predictive_accuracy: 0.7129, prior_entropy: 3.1238, recall: 0.7129, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9597, kb_relative_information_score: 297.2302, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9656, predictive_accuracy: 0.9645, prior_entropy: 3.1238, recall: 0.9645, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 23.1188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9597, kb_relative_information_score: 297.2302, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9656, predictive_accuracy: 0.9645, prior_entropy: 3.1238, recall: 0.9645, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 23.1188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9597, kb_relative_information_score: 297.2302, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9656, predictive_accuracy: 0.9645, prior_entropy: 3.1238, recall: 0.9645, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 23.1188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.964, kappa: 0.9597, kb_relative_information_score: 297.2302, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9656, predictive_accuracy: 0.9645, prior_entropy: 3.1238, recall: 0.9645, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 23.1188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8119, kappa: 0.7619, kb_relative_information_score: 196.0881, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8746, predictive_accuracy: 0.7903, prior_entropy: 3.1238, recall: 0.7903, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9546, kappa: 0.9488, kb_relative_information_score: 293.0071, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9563, predictive_accuracy: 0.9548, prior_entropy: 3.1238, recall: 0.9548, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.4255, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.3512, kappa: 0.3292, kb_relative_information_score: 112.6116, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.5863, predictive_accuracy: 0.4161, prior_entropy: 3.1238, recall: 0.4161, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3602, root_relative_squared_error: 1.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8436, kappa: 0.8241, kb_relative_information_score: 257.8862, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8619, predictive_accuracy: 0.8452, prior_entropy: 3.1238, recall: 0.8452, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.5066, kappa: 0.4643, kb_relative_information_score: 150.4277, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.5239, predictive_accuracy: 0.5323, prior_entropy: 3.1238, recall: 0.5323, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3224, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.4255, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.6325, kappa: 0.6856, kb_relative_information_score: 210.5452, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.574, predictive_accuracy: 0.7258, prior_entropy: 3.1238, recall: 0.7258, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9413, kappa: 0.9341, kb_relative_information_score: 289.4637, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9465, predictive_accuracy: 0.9419, prior_entropy: 3.1238, recall: 0.9419, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.7024, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, usercpu_time_millis: 375.896, usercpu_time_millis_testing: 6.779, usercpu_time_millis_training: 369.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9738, kappa: 0.9707, kb_relative_information_score: 301.2104, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9787, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, usercpu_time_millis: 76.047, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 75.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9774, kappa: 0.9744, kb_relative_information_score: 301.7428, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9781, predictive_accuracy: 0.9774, prior_entropy: 3.1238, recall: 0.9774, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2262, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9348, kappa: 0.9268, kb_relative_information_score: 287.7714, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9403, predictive_accuracy: 0.9355, prior_entropy: 3.1238, recall: 0.9355, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3824, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9578, kappa: 0.9524, kb_relative_information_score: 295.2089, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 3.1238, recall: 0.9581, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3083, usercpu_time_millis: 12.346, usercpu_time_millis_testing: 2.558, usercpu_time_millis_training: 9.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9838, kappa: 0.9817, kb_relative_information_score: 304.3813, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9852, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1912, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.0658, kappa: -0.0022, kb_relative_information_score: 22.2687, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0504, predictive_accuracy: 0.129, prior_entropy: 3.1238, recall: 0.129, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.4051, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, usercpu_time_millis: 5.536, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 5.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9544, kappa: 0.9488, kb_relative_information_score: 294.1557, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9553, predictive_accuracy: 0.9548, prior_entropy: 3.1238, recall: 0.9548, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.32, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9772, kappa: 0.9744, kb_relative_information_score: 301.9355, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 3.1238, recall: 0.9774, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2262, usercpu_time_millis: 2.661, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.8726, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9681, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.079, kappa: -0.0011, kb_relative_information_score: 22.3845, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0662, predictive_accuracy: 0.129, prior_entropy: 3.1238, recall: 0.129, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.4051, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0947, kappa: -0.0004, kb_relative_information_score: 22.4613, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0828, predictive_accuracy: 0.129, prior_entropy: 3.1238, recall: 0.129, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.4051, usercpu_time_millis: 12.852, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 11.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.0636, kappa: 0.0191, kb_relative_information_score: 28.1929, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0807, predictive_accuracy: 0.1484, prior_entropy: 3.1238, recall: 0.1484, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.435, root_relative_squared_error: 1.3894, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8697, kappa: 0.8536, kb_relative_information_score: 267.394, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8818, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5408, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8122, kappa: 0.7954, kb_relative_information_score: 252.2523, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8309, predictive_accuracy: 0.8194, prior_entropy: 3.1238, recall: 0.8194, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6399, usercpu_time_millis: 3.084, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9774, kappa: 0.9744, kb_relative_information_score: 301.9686, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9778, predictive_accuracy: 0.9774, prior_entropy: 3.1238, recall: 0.9774, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2262, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7493, kappa: 0.7257, kb_relative_information_score: 232.5279, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.7585, predictive_accuracy: 0.7581, prior_entropy: 3.1238, recall: 0.7581, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7406, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7975, kappa: 0.7694, kb_relative_information_score: 243.844, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8212, predictive_accuracy: 0.7968, prior_entropy: 3.1238, recall: 0.7968, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6787, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.4255, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855, usercpu_time_millis: 1.165, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.89, kappa: 0.8757, kb_relative_information_score: 274.342, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8955, predictive_accuracy: 0.8903, prior_entropy: 3.1238, recall: 0.8903, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4986, usercpu_time_millis: 13.525, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 12.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 300.9131, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9744, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, usercpu_time_millis: 33.079, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 31.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.4255, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9521, kappa: 0.9451, kb_relative_information_score: 293.6132, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9562, predictive_accuracy: 0.9516, prior_entropy: 3.1238, recall: 0.9516, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3312, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, usercpu_time_millis: 2.159, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9579, kappa: 0.9524, kb_relative_information_score: 295.6237, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9595, predictive_accuracy: 0.9581, prior_entropy: 3.1238, recall: 0.9581, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3083, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9838, kappa: 0.9817, kb_relative_information_score: 304.2776, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9842, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1912, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9742, kappa: 0.9707, kb_relative_information_score: 301.2234, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.0668, kappa: 0.0019, kb_relative_information_score: 23.3092, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0507, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9642, kappa: 0.9598, kb_relative_information_score: 297.3355, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9655, predictive_accuracy: 0.9645, prior_entropy: 3.1238, recall: 0.9645, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2836, usercpu_time_millis: 1.293, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.2638, kappa: 0.1846, kb_relative_information_score: 74.2962, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.599, predictive_accuracy: 0.2903, prior_entropy: 3.1238, recall: 0.2903, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3971, root_relative_squared_error: 1.2684, usercpu_time_millis: 1.667, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.0281, kb_relative_information_score: 5.6008, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0158, predictive_accuracy: 0.1258, prior_entropy: 3.1238, recall: 0.1258, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.0012, scimark_benchmark: 1248.4668, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 308.5956, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0036, root_relative_squared_error: 0.0115, scimark_benchmark: 1253.342, usercpu_time_millis: 470, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 301.871, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.1109, scimark_benchmark: 478.4921, usercpu_time_millis: 2090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 305.6867, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0313, scimark_benchmark: 1212.1822, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9742, kappa: 0.9707, kb_relative_information_score: 301.2234, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 1222.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8994, kappa: 0.8866, kb_relative_information_score: 278.2604, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9074, predictive_accuracy: 0.9, prior_entropy: 3.1238, recall: 0.9, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.4356, scimark_benchmark: 1237.6476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 305.6867, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0313, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9903, kappa: 0.989, kb_relative_information_score: 306.6617, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 3.1238, recall: 0.9903, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1348, scimark_benchmark: 1254.1389, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8694, kappa: 0.8536, kb_relative_information_score: 269.6909, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8817, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5145, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.1093, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0693, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8702, kappa: 0.8536, kb_relative_information_score: 269.173, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.881, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5179, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.789, kappa: 0.7707, kb_relative_information_score: 236.7044, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8189, predictive_accuracy: 0.7968, prior_entropy: 3.1238, recall: 0.7968, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6237, scimark_benchmark: 1230.3004,

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