OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

39610 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: 0.5994, average_cost: 16.753, f_measure: 0.7571, kappa: 0.0084, kb_relative_information_score: 120.6772, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1848.2615, total_cost: 669250, usercpu_time_millis: 3270.409, usercpu_time_millis_testing: 9.306, usercpu_time_millis_training: 3261.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, average_cost: 16.758, f_measure: 0.757, kappa: 0.0079, kb_relative_information_score: 114.8004, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.81, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1842.6679, total_cost: 669450, usercpu_time_millis: 3311.685, usercpu_time_millis_testing: 9.122, usercpu_time_millis_training: 3302.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, average_cost: 16.7345, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: 172.5206, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1820.0566, total_cost: 668510, usercpu_time_millis: 3343.3, usercpu_time_millis_testing: 11.369, usercpu_time_millis_training: 3331.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, average_cost: 16.7508, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: 114.1542, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8106, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1851.8567, total_cost: 669160, usercpu_time_millis: 3407.539, usercpu_time_millis_testing: 9.371, usercpu_time_millis_training: 3398.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, average_cost: 16.758, f_measure: 0.757, kappa: 0.0079, kb_relative_information_score: 118.9458, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.81, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968, scimark_benchmark: 1841.1108, total_cost: 669450, usercpu_time_millis: 3394.973, usercpu_time_millis_testing: 8.897, usercpu_time_millis_training: 3386.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, average_cost: 16.7433, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: 116.1612, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1850.2875, total_cost: 668860, usercpu_time_millis: 3440.912, usercpu_time_millis_testing: 8.987, usercpu_time_millis_training: 3431.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, average_cost: 16.7555, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: 110.8739, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1855.4813, total_cost: 669350, usercpu_time_millis: 3550.47, usercpu_time_millis_testing: 9.238, usercpu_time_millis_training: 3541.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 77.4107, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1834.0639, total_cost: 671630, usercpu_time_millis: 3474.435, usercpu_time_millis_testing: 11.019, usercpu_time_millis_training: 3463.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, average_cost: 16.7127, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -315.993, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1846.2342, total_cost: 667640, usercpu_time_millis: 3528.261, usercpu_time_millis_testing: 12.436, usercpu_time_millis_training: 3515.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, average_cost: 16.8371, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.4429, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1849.7595, total_cost: 672610, usercpu_time_millis: 3578.134, usercpu_time_millis_testing: 10.848, usercpu_time_millis_training: 3567.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, average_cost: 16.737, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 147.7332, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8062, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1846.2342, total_cost: 668610, usercpu_time_millis: 3551.515, usercpu_time_millis_testing: 11.378, usercpu_time_millis_training: 3540.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, average_cost: 16.753, f_measure: 0.7571, kappa: 0.0084, kb_relative_information_score: 113.9191, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1820.5148, total_cost: 669250, usercpu_time_millis: 3606.843, usercpu_time_millis_testing: 9.338, usercpu_time_millis_training: 3597.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, average_cost: 16.753, f_measure: 0.7571, kappa: 0.0084, kb_relative_information_score: 111.5124, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1731.3956, total_cost: 669250, usercpu_time_millis: 3733.27, usercpu_time_millis_testing: 9.595, usercpu_time_millis_training: 3723.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, average_cost: 16.736, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: 121.7109, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1849.8294, total_cost: 668570, usercpu_time_millis: 3778.689, usercpu_time_millis_testing: 8.842, usercpu_time_millis_training: 3769.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, average_cost: 16.7152, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -46.535, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1855.0232, total_cost: 667740, usercpu_time_millis: 3882.29, usercpu_time_millis_testing: 12.291, usercpu_time_millis_training: 3869.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, average_cost: 16.7227, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -132.5223, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1851.8567, total_cost: 668040, usercpu_time_millis: 3884.852, usercpu_time_millis_testing: 12.393, usercpu_time_millis_training: 3872.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, average_cost: 16.746, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: 108.9815, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8104, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1849.7595, total_cost: 668970, usercpu_time_millis: 3889.184, usercpu_time_millis_testing: 8.95, usercpu_time_millis_training: 3880.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, average_cost: 16.7297, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: -348.5903, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1850.8706, total_cost: 668320, usercpu_time_millis: 4050.879, usercpu_time_millis_testing: 12.895, usercpu_time_millis_training: 4037.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, average_cost: 16.746, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: 106.3672, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8104, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1844.7681, total_cost: 668970, usercpu_time_millis: 4058.22, usercpu_time_millis_testing: 8.887, usercpu_time_millis_training: 4049.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, average_cost: 16.767, f_measure: 0.7568, kappa: 0.0071, kb_relative_information_score: 146.7178, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1846.6923, total_cost: 669810, usercpu_time_millis: 4270.851, usercpu_time_millis_testing: 11.576, usercpu_time_millis_training: 4259.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, average_cost: 16.7358, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: 104.824, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1839.1303, total_cost: 668560, usercpu_time_millis: 4331.447, usercpu_time_millis_testing: 9.149, usercpu_time_millis_training: 4322.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, average_cost: 16.7936, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -1139.5885, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7674, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1853.9849, total_cost: 670870, usercpu_time_millis: 4459.348, usercpu_time_millis_testing: 17.462, usercpu_time_millis_training: 4441.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, average_cost: 16.8371, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 22.4304, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1857.1082, total_cost: 672610, usercpu_time_millis: 4477.093, usercpu_time_millis_testing: 10.788, usercpu_time_millis_training: 4466.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, average_cost: 16.8003, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -1077.463, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7662, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1851.3287, total_cost: 671140, usercpu_time_millis: 4581.129, usercpu_time_millis_testing: 17.814, usercpu_time_millis_training: 4563.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.8703, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1857.1082, total_cost: 671730, usercpu_time_millis: 4659.943, usercpu_time_millis_testing: 10.93, usercpu_time_millis_training: 4649.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, average_cost: 16.732, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: 112.8875, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8079, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1851.8567, total_cost: 668410, usercpu_time_millis: 4760.374, usercpu_time_millis_testing: 11.927, usercpu_time_millis_training: 4748.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 75.4256, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1849.8294, total_cost: 671730, usercpu_time_millis: 4710.125, usercpu_time_millis_testing: 10.994, usercpu_time_millis_training: 4699.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, average_cost: 16.7483, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 115.6193, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8116, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1727.8489, total_cost: 669060, usercpu_time_millis: 4787.329, usercpu_time_millis_testing: 9.567, usercpu_time_millis_training: 4777.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, average_cost: 16.7305, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: 116.9379, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1850.8185, total_cost: 668350, usercpu_time_millis: 4832.012, usercpu_time_millis_testing: 9.079, usercpu_time_millis_training: 4822.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, average_cost: 16.7458, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: 111.1335, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8125, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1843.657, total_cost: 668960, usercpu_time_millis: 4932.765, usercpu_time_millis_testing: 8.881, usercpu_time_millis_training: 4923.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, average_cost: 16.7297, f_measure: 0.7577, kappa: 0.0104, kb_relative_information_score: 90.4123, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1853.454, total_cost: 668320, usercpu_time_millis: 5012.291, usercpu_time_millis_testing: 12.534, usercpu_time_millis_training: 4999.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, average_cost: 16.7355, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 115.2228, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1823.4294, total_cost: 668550, usercpu_time_millis: 4964.404, usercpu_time_millis_testing: 9.187, usercpu_time_millis_training: 4955.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, average_cost: 16.7946, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -1220.1901, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9977, scimark_benchmark: 1847.2753, total_cost: 670910, usercpu_time_millis: 5112.804, usercpu_time_millis_testing: 25.819, usercpu_time_millis_training: 5086.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, average_cost: 16.757, f_measure: 0.7569, kappa: 0.0075, kb_relative_information_score: -354.1788, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968, scimark_benchmark: 1857.5664, total_cost: 669410, usercpu_time_millis: 5115.424, usercpu_time_millis_testing: 13.41, usercpu_time_millis_training: 5102.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, average_cost: 16.7578, f_measure: 0.757, kappa: 0.0079, kb_relative_information_score: 166.2569, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8124, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9973, scimark_benchmark: 1857.5664, total_cost: 669440, usercpu_time_millis: 5225.466, usercpu_time_millis_testing: 11.664, usercpu_time_millis_training: 5213.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, average_cost: 16.7736, f_measure: 0.7566, kappa: 0.0063, kb_relative_information_score: -631.7884, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1852.859, total_cost: 670070, usercpu_time_millis: 5146.417, usercpu_time_millis_testing: 14.51, usercpu_time_millis_training: 5131.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, average_cost: 16.7483, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 117.2897, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8116, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1841.6417, total_cost: 669060, usercpu_time_millis: 5134.441, usercpu_time_millis_testing: 8.997, usercpu_time_millis_training: 5125.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 74.9803, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1850.2875, total_cost: 671630, usercpu_time_millis: 5195.434, usercpu_time_millis_testing: 11.049, usercpu_time_millis_training: 5184.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, average_cost: 16.7373, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 124.749, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9971, scimark_benchmark: 1853.454, total_cost: 668620, usercpu_time_millis: 5213.125, usercpu_time_millis_testing: 12.201, usercpu_time_millis_training: 5200.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, average_cost: 16.7355, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 122.0056, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1851.8567, total_cost: 668550, usercpu_time_millis: 5353.66, usercpu_time_millis_testing: 9.381, usercpu_time_millis_training: 5344.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, average_cost: 16.7353, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: 61.9524, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1849.8294, total_cost: 668540, usercpu_time_millis: 5378.399, usercpu_time_millis_testing: 12.495, usercpu_time_millis_training: 5365.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, average_cost: 16.7355, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 119.3725, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1828.6161, total_cost: 668550, usercpu_time_millis: 5494.545, usercpu_time_millis_testing: 9.131, usercpu_time_millis_training: 5485.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 27.0024, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1852.9259, total_cost: 672510, usercpu_time_millis: 5557.858, usercpu_time_millis_testing: 10.981, usercpu_time_millis_training: 5546.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 131.9287, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1713.3319, total_cost: 668730, usercpu_time_millis: 5476.822, usercpu_time_millis_testing: 9.717, usercpu_time_millis_training: 5467.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 73.2204, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9992, scimark_benchmark: 1852.9988, total_cost: 671630, usercpu_time_millis: 5495.067, usercpu_time_millis_testing: 11.449, usercpu_time_millis_training: 5483.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, average_cost: 16.7483, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 117.0076, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8116, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1833.5078, total_cost: 669060, usercpu_time_millis: 5726.309, usercpu_time_millis_testing: 9.032, usercpu_time_millis_training: 5717.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, average_cost: 16.7358, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: 112.8103, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1850.8185, total_cost: 668560, usercpu_time_millis: 5839.53, usercpu_time_millis_testing: 9.055, usercpu_time_millis_training: 5830.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, average_cost: 16.7548, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: -896.6651, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9971, scimark_benchmark: 1853.0716, total_cost: 669320, usercpu_time_millis: 5998.266, usercpu_time_millis_testing: 27.215, usercpu_time_millis_training: 5971.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, average_cost: 16.8126, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 74.8066, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1852.9988, total_cost: 671630, usercpu_time_millis: 6225.14, usercpu_time_millis_testing: 11.433, usercpu_time_millis_training: 6213.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, average_cost: 16.733, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: 123.8253, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1842.2127, total_cost: 668450, usercpu_time_millis: 6334.872, usercpu_time_millis_testing: 9.344, usercpu_time_millis_training: 6325.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, average_cost: 16.8018, f_measure: 0.7559, kappa: 0.0034, kb_relative_information_score: -999.5327, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1829.217, total_cost: 671200, usercpu_time_millis: 6483.887, usercpu_time_millis_testing: 16.738, usercpu_time_millis_training: 6467.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, average_cost: 16.75, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: 139.5552, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8176, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1856.0123, total_cost: 669130, usercpu_time_millis: 6628.144, usercpu_time_millis_testing: 8.879, usercpu_time_millis_training: 6619.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, average_cost: 16.75, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: 135.3986, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8176, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1828.2308, total_cost: 669130, usercpu_time_millis: 6602.647, usercpu_time_millis_testing: 9.081, usercpu_time_millis_training: 6593.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 27.2702, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1853.9121, total_cost: 672510, usercpu_time_millis: 6699.062, usercpu_time_millis_testing: 11.204, usercpu_time_millis_training: 6687.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 131.9507, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1850.2875, total_cost: 668730, usercpu_time_millis: 6741.376, usercpu_time_millis_testing: 9.146, usercpu_time_millis_training: 6732.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, average_cost: 16.75, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: 137.7434, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8176, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1827.587, total_cost: 669130, usercpu_time_millis: 6827.392, usercpu_time_millis_testing: 9.111, usercpu_time_millis_training: 6818.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, average_cost: 16.76, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: 126.8883, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8139, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1846.6923, total_cost: 669530, usercpu_time_millis: 7054.377, usercpu_time_millis_testing: 9.147, usercpu_time_millis_training: 7045.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 131.9314, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1731.0556, total_cost: 668730, usercpu_time_millis: 7189.382, usercpu_time_millis_testing: 9.573, usercpu_time_millis_training: 7179.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, average_cost: 16.7575, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: 121.697, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8149, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1850.6792, total_cost: 669430, usercpu_time_millis: 7190.85, usercpu_time_millis_testing: 9.173, usercpu_time_millis_training: 7181.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.3287, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1842.7437, total_cost: 672700, usercpu_time_millis: 7173.964, usercpu_time_millis_testing: 11.285, usercpu_time_millis_training: 7162.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 133.8936, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1848.2615, total_cost: 668730, usercpu_time_millis: 7300.423, usercpu_time_millis_testing: 9.09, usercpu_time_millis_training: 7291.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, average_cost: 16.75, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: 138.9384, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8176, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1729.6209, total_cost: 669130, usercpu_time_millis: 7272.953, usercpu_time_millis_testing: 9.562, usercpu_time_millis_training: 7263.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, average_cost: 16.7408, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: -137.3531, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1853.9121, total_cost: 668760, usercpu_time_millis: 7277.808, usercpu_time_millis_testing: 13.401, usercpu_time_millis_training: 7264.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, average_cost: 16.7916, f_measure: 0.7561, kappa: 0.0042, kb_relative_information_score: -973.9968, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7663, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1850.8185, total_cost: 670790, usercpu_time_millis: 7407.77, usercpu_time_millis_testing: 20.061, usercpu_time_millis_training: 7387.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, average_cost: 16.7175, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -819.7238, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7861, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1853.3841, total_cost: 667830, usercpu_time_millis: 7386.852, usercpu_time_millis_testing: 33.13, usercpu_time_millis_training: 7353.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, average_cost: 16.8149, f_measure: 0.7558, kappa: 0.0026, kb_relative_information_score: 75.6973, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8342, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1853.9121, total_cost: 671720, usercpu_time_millis: 7596.896, usercpu_time_millis_testing: 11.326, usercpu_time_millis_training: 7585.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 135.5831, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1851.8567, total_cost: 669120, usercpu_time_millis: 7964.774, usercpu_time_millis_testing: 9.274, usercpu_time_millis_training: 7955.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 75.8706, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1851.9295, total_cost: 671730, usercpu_time_millis: 8058.886, usercpu_time_millis_testing: 10.856, usercpu_time_millis_training: 8048.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, average_cost: 16.74, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 133.5898, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1846.6923, total_cost: 668730, usercpu_time_millis: 8169.129, usercpu_time_millis_testing: 9.18, usercpu_time_millis_training: 8159.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, average_cost: 16.7713, f_measure: 0.7566, kappa: 0.0062, kb_relative_information_score: -357.3374, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7805, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1857.1082, total_cost: 669980, usercpu_time_millis: 8337.733, usercpu_time_millis_testing: 14.184, usercpu_time_millis_training: 8323.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 137.0627, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1853.3841, total_cost: 669120, usercpu_time_millis: 8551.852, usercpu_time_millis_testing: 9.125, usercpu_time_millis_training: 8542.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 141.9651, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1849.3742, total_cost: 669120, usercpu_time_millis: 8567.972, usercpu_time_millis_testing: 9.127, usercpu_time_millis_training: 8558.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 139.2772, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1846.6923, total_cost: 669120, usercpu_time_millis: 8644.287, usercpu_time_millis_testing: 9.046, usercpu_time_millis_training: 8635.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.2838, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1822.3184, total_cost: 671730, usercpu_time_millis: 8646.927, usercpu_time_millis_testing: 10.873, usercpu_time_millis_training: 8636.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, average_cost: 16.7841, f_measure: 0.7564, kappa: 0.0055, kb_relative_information_score: 149.6811, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1830.0265, total_cost: 670490, usercpu_time_millis: 8754.281, usercpu_time_millis_testing: 11.745, usercpu_time_millis_training: 8742.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, average_cost: 16.7227, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -537.7583, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1856.1949, total_cost: 668040, usercpu_time_millis: 8840.286, usercpu_time_millis_testing: 41.413, usercpu_time_millis_training: 8798.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 136.7501, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1850.8185, total_cost: 669120, usercpu_time_millis: 8807.796, usercpu_time_millis_testing: 9.207, usercpu_time_millis_training: 8798.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.6627, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1846.2342, total_cost: 671730, usercpu_time_millis: 8924.742, usercpu_time_millis_testing: 11.084, usercpu_time_millis_training: 8913.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, average_cost: 16.7393, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: -27.24, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1853.454, total_cost: 668700, usercpu_time_millis: 8822.977, usercpu_time_millis_testing: 12.857, usercpu_time_millis_training: 8810.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.499, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1828.118, total_cost: 671730, usercpu_time_millis: 8854.564, usercpu_time_millis_testing: 10.79, usercpu_time_millis_training: 8843.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 27.5796, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1858.0974, total_cost: 672510, usercpu_time_millis: 8972.326, usercpu_time_millis_testing: 11.387, usercpu_time_millis_training: 8960.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.9461, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1844.3523, total_cost: 671730, usercpu_time_millis: 9078.68, usercpu_time_millis_testing: 11.07, usercpu_time_millis_training: 9067.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 134.4439, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1846.6923, total_cost: 669120, usercpu_time_millis: 8974.65, usercpu_time_millis_testing: 9.15, usercpu_time_millis_training: 8965.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, average_cost: 16.8346, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 27.8228, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1853.9121, total_cost: 672510, usercpu_time_millis: 9034.803, usercpu_time_millis_testing: 11.618, usercpu_time_millis_training: 9023.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.0648, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1856.0551, total_cost: 672700, usercpu_time_millis: 9477.354, usercpu_time_millis_testing: 11.374, usercpu_time_millis_training: 9465.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, average_cost: 16.718, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -798.1332, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1850.9434, total_cost: 667850, usercpu_time_millis: 9653.858, usercpu_time_millis_testing: 47.112, usercpu_time_millis_training: 9606.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, average_cost: 16.7761, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -686.9011, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1841.5394, total_cost: 670170, usercpu_time_millis: 9548.876, usercpu_time_millis_testing: 14.877, usercpu_time_millis_training: 9533.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, average_cost: 16.7833, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: 108.5494, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9984, scimark_benchmark: 1857.1082, total_cost: 670460, usercpu_time_millis: 9662.139, usercpu_time_millis_testing: 11.943, usercpu_time_millis_training: 9650.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.6878, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1859.1356, total_cost: 671730, usercpu_time_millis: 9826.863, usercpu_time_millis_testing: 11.094, usercpu_time_millis_training: 9815.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, average_cost: 16.8048, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: -971.4761, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7652, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9968, scimark_benchmark: 1853.9121, total_cost: 671320, usercpu_time_millis: 9876.442, usercpu_time_millis_testing: 17.459, usercpu_time_millis_training: 9858.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, average_cost: 16.7866, f_measure: 0.7564, kappa: 0.0052, kb_relative_information_score: 136.7071, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.9981, scimark_benchmark: 1851.3007, total_cost: 670590, usercpu_time_millis: 9883.459, usercpu_time_millis_testing: 12.256, usercpu_time_millis_training: 9871.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, average_cost: 16.8151, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.6431, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1852.9988, total_cost: 671730, usercpu_time_millis: 10061.412, usercpu_time_millis_testing: 10.787, usercpu_time_millis_training: 10050.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.0519, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1845.1352, total_cost: 672700, usercpu_time_millis: 10638.065, usercpu_time_millis_testing: 11.564, usercpu_time_millis_training: 10626.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, average_cost: 16.7037, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -821.8109, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.786, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9955, scimark_benchmark: 1837.5732, total_cost: 667280, usercpu_time_millis: 10723.641, usercpu_time_millis_testing: 49.083, usercpu_time_millis_training: 10674.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, average_cost: 16.8048, f_measure: 0.7559, kappa: 0.0033, kb_relative_information_score: -2052.0647, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.788, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1846.8309, total_cost: 671320, usercpu_time_millis: 6.947, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 6.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3398.7956, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1848.2024, total_cost: 667980, usercpu_time_millis: 10.139, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 10.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -52731.487, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.5845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.1979, scimark_benchmark: 1851.8567, total_cost: 672800, usercpu_time_millis: 10.462, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 10.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, average_cost: 16.7308, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3283.9885, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8172, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1854.4951, total_cost: 668360, usercpu_time_millis: 7.16, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 7.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, average_cost: 16.721, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3444.9229, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1857.1082, total_cost: 667970, usercpu_time_millis: 8.516, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 8.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, average_cost: 16.7215, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -3114.4428, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1736.0929, total_cost: 667990, usercpu_time_millis: 27.207, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 27.192,

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