Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

88527 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: 0.5514, f_measure: 0.5316, kappa: 0.0677, kb_relative_information_score: 24.8277, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5345, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1754.3125, usercpu_time_millis: 69.942, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 69.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5313, kappa: 0.066, kb_relative_information_score: 27.6703, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5335, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1858.581, usercpu_time_millis: 64.577, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 63.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5544, kappa: 0.1089, kb_relative_information_score: 54.6301, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1758.6834, usercpu_time_millis: 51.882, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 51.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 68.0668, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1766.5941, usercpu_time_millis: 36.326, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 35.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.5384, kappa: 0.0776, kb_relative_information_score: 42.2799, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1859.7394, usercpu_time_millis: 26.252, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 26.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.513, kappa: 0.0297, kb_relative_information_score: 24.0558, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1862.932, usercpu_time_millis: 10.632, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 10.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 45.3218, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0139, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0174, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.2567, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0156, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1858.9715, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0145, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1854.6858, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 58.3768, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5711, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1766.8452, usercpu_time_millis: 617.122, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 615.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 62.6075, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1772.4355, usercpu_time_millis: 181.822, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 180.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 69.6623, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1871.5019, usercpu_time_millis: 29.607, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 28.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.5318, kappa: 0.0644, kb_relative_information_score: 40.3011, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5323, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1751.5088, usercpu_time_millis: 22.243, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 21.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.506, f_measure: 0.5106, kappa: 0.0215, kb_relative_information_score: 4.6477, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5107, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0486, scimark_benchmark: 1873.5293, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5235, kappa: 0.0479, kb_relative_information_score: 29.407, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1740.1157, usercpu_time_millis: 19.644, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 19.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.5238, kappa: 0.0479, kb_relative_information_score: 26.5268, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283, scimark_benchmark: 2142.1331, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.5326, kappa: 0.066, kb_relative_information_score: 35.6912, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5331, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1724.4145, usercpu_time_millis: 6.343, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 77.2255, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1851.1192, usercpu_time_millis: 103.844, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 103.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.5184, kappa: 0.0413, kb_relative_information_score: 11.961, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.521, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 2169.7929, usercpu_time_millis: 34.893, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 34.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 104.4068, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0124, scimark_benchmark: 1850.6792, usercpu_time_millis: 609.129, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 608.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5907, kappa: 0.1815, kb_relative_information_score: 90.9617, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5908, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1856.0551, usercpu_time_millis: 27.593, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 27.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5203, kappa: 0.0446, kb_relative_information_score: 9.9856, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1858.0046, usercpu_time_millis: 8.402, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 8.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5008, kappa: 0.0017, kb_relative_information_score: 0.0028, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5008, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1865.3794, usercpu_time_millis: 1.927, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 124.2066, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0353, scimark_benchmark: 1873.9908, usercpu_time_millis: 271.179, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 270.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5374, kappa: 0.0776, kb_relative_information_score: 28.5898, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5392, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1843.5802, usercpu_time_millis: 204.673, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 204.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.541, kappa: 0.0825, kb_relative_information_score: 36.3577, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1869.3555, usercpu_time_millis: 96.407, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 95.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0132, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1763.2763, usercpu_time_millis: 2.408, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0153, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1760.7504, usercpu_time_millis: 2.676, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0093, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.007, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.52, kappa: 0.0462, kb_relative_information_score: 22.7642, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5237, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1864.0845, usercpu_time_millis: 4.569, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 4.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0205, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.5973, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 110.217, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1788.6536, usercpu_time_millis: 813.422, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 811.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5831, kappa: 0.1667, kb_relative_information_score: 100.7491, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5836, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1871.2001, usercpu_time_millis: 419.002, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 417.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 69.3215, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5701, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1971.2808, usercpu_time_millis: 430.7, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 429.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5724, kappa: 0.1452, kb_relative_information_score: 70.3103, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9901, scimark_benchmark: 1771.3322, usercpu_time_millis: 252.656, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 250.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 65.8206, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1743.9154, usercpu_time_millis: 343.5, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 342.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.5874, kappa: 0.1749, kb_relative_information_score: 108.8786, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1854.1172, usercpu_time_millis: 238.668, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 237.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 92.4437, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5884, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1869.1029, usercpu_time_millis: 124.702, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 124.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 128.8012, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0449, scimark_benchmark: 1873.4078, usercpu_time_millis: 111.39, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 111.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 89.2168, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1751.3294, usercpu_time_millis: 113.618, usercpu_time_millis_testing: 2.035, usercpu_time_millis_training: 111.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5989, kappa: 0.198, kb_relative_information_score: 120.3607, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5991, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1749.1475, usercpu_time_millis: 122.307, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 121.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 80.6374, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1763.7276, usercpu_time_millis: 119.018, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 117.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5257, kappa: 0.0561, kb_relative_information_score: 19.4748, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5286, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1755.5257, usercpu_time_millis: 26.504, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 26.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 68.6333, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1871.9601, usercpu_time_millis: 14.871, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 14.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.5748, kappa: 0.1502, kb_relative_information_score: 75.2768, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5753, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1865.2449, usercpu_time_millis: 17.331, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 17.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5354, kappa: 0.0726, kb_relative_information_score: 28.9374, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5366, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1873.0711, usercpu_time_millis: 6.468, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 6.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5238, kappa: 0.0495, kb_relative_information_score: 5.6449, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1762.0298, usercpu_time_millis: 4.368, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5743, kappa: 0.1485, kb_relative_information_score: 56.6447, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1864.1471, usercpu_time_millis: 9.278, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 8.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4992, kappa: -0.0017, kb_relative_information_score: -0.0152, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1766.0944, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5757, kappa: 0.1518, kb_relative_information_score: 77.7817, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1977.1016, usercpu_time_millis: 74.753, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 74.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5008, kappa: 0.0017, kb_relative_information_score: 0.0076, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5008, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1863.1711, usercpu_time_millis: 0.564, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 44.3461, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1972.3738, usercpu_time_millis: 71.419, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 70.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.5316, kappa: 0.0644, kb_relative_information_score: 4.763, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5323, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.405, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 3.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.546, kappa: 0.0924, kb_relative_information_score: 44.7311, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1918.5483, usercpu_time_millis: 40.197, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 39.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, f_measure: 0.5148, kappa: 0.0363, kb_relative_information_score: 16.8022, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5187, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1764.1283, usercpu_time_millis: 14.543, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 14.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0074, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1924.3473, usercpu_time_millis: 1.724, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5368, kappa: 0.0743, kb_relative_information_score: 44.4031, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5372, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1866.1582, usercpu_time_millis: 207.052, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 206.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 87.2353, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1855.2567, usercpu_time_millis: 108.593, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 107.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.5452, kappa: 0.0908, kb_relative_information_score: 48.232, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5454, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1744.1323, usercpu_time_millis: 84.869, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 84.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, f_measure: 0.5421, kappa: 0.0875, kb_relative_information_score: 30.1696, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5444, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1872.8797, usercpu_time_millis: 104.308, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 103.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5453, kappa: 0.0908, kb_relative_information_score: 37.1311, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5454, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1777.4867, usercpu_time_millis: 82.835, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 82.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5302, kappa: 0.0611, kb_relative_information_score: 35.9931, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5306, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1862.0186, usercpu_time_millis: 68.342, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 67.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5691, kappa: 0.1386, kb_relative_information_score: 63.5203, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1860.9838, usercpu_time_millis: 48.229, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 47.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 58.6441, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1854.7429, usercpu_time_millis: 46.036, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 45.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5195, kappa: 0.0396, kb_relative_information_score: 26.7488, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5199, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1848.6266, usercpu_time_millis: 36.106, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 35.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.5296, kappa: 0.0611, kb_relative_information_score: 6.3006, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5308, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 1862.5409, usercpu_time_millis: 27.342, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 27.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0113, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1766.7964, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.568, kappa: 0.137, kb_relative_information_score: 47.8864, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5688, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1777.0338, usercpu_time_millis: 12.224, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 12.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4792, kb_relative_information_score: 0.0075, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1857.8803, usercpu_time_millis: 0.732, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5216, kappa: 0.0495, kb_relative_information_score: 13.3755, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5254, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1866.9264, usercpu_time_millis: 7.357, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 7.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5692, kappa: 0.1386, kb_relative_information_score: 74.424, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1741.5221, usercpu_time_millis: 138.155, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 136.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5396, kappa: 0.0792, kb_relative_information_score: 42.6035, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5396, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1727.1694, usercpu_time_millis: 130.557, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 129.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5157, kappa: 0.0363, kb_relative_information_score: 18.1979, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1766.2392, usercpu_time_millis: 22.896, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 22.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 51.1074, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5569, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1769.9244, usercpu_time_millis: 8.534, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 8.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 97.0233, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1749.0696, usercpu_time_millis: 696.792, usercpu_time_millis_testing: 2.059, usercpu_time_millis_training: 694.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 128.9861, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0342, scimark_benchmark: 1767.5875, usercpu_time_millis: 289.383, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 288.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 56.5494, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1849.1322, usercpu_time_millis: 295.731, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 294.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 95.3564, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1859.4255, usercpu_time_millis: 291.132, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 289.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.5963, kappa: 0.1931, kb_relative_information_score: 112.8449, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5968, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1743.9128, usercpu_time_millis: 198.246, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 197.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 98.1415, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1771.0969, usercpu_time_millis: 145.099, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 143.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.5444, kappa: 0.0891, kb_relative_information_score: 43.9018, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1862.7172, usercpu_time_millis: 138.279, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 137.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 82.1569, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1772.521, usercpu_time_millis: 105.313, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 104.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 61.9676, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 2150.6368, usercpu_time_millis: 75.548, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 75.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 59.1348, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1748.5016, usercpu_time_millis: 66.288, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 65.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5692, kappa: 0.1386, kb_relative_information_score: 66.8853, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, scimark_benchmark: 1775.3777, usercpu_time_millis: 50.154, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 49.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.5391, kappa: 0.0809, kb_relative_information_score: 28.0008, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5409, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 2149.7836, usercpu_time_millis: 47.454, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 46.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 61.4681, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1761.3664, usercpu_time_millis: 45.83, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 45.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5906, kappa: 0.1815, kb_relative_information_score: 107.1535, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5909, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1758.5807, usercpu_time_millis: 37.944, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 37.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5147, kappa: 0.0347, kb_relative_information_score: 19.099, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5177, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1757.2948, usercpu_time_millis: 24.788, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 24.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 42.4412, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1854.1655, usercpu_time_millis: 46.111, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 45.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5103, kappa: 0.0215, kb_relative_information_score: 2.8641, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5108, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019, scimark_benchmark: 1768.0745, usercpu_time_millis: 15.396, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 15.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.546, kappa: 0.0924, kb_relative_information_score: 47.9587, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1862.0186, usercpu_time_millis: 341.601, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 340.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.5593, kappa: 0.1188, kb_relative_information_score: 54.0809, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1844.9798, usercpu_time_millis: 149.534, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 148.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 101.1401, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1862.4126, usercpu_time_millis: 157.855, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 156.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 62.6805, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1861.3822, usercpu_time_millis: 138.745, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 138.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 76.0296, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1723.1406, usercpu_time_millis: 117.17, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 115.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5239, kappa: 0.0479, kb_relative_information_score: 27.8165, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5239, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1870.5216, usercpu_time_millis: 67.994, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 67.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 66.9033, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1849.6404, usercpu_time_millis: 71.277, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 70.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5186, kappa: 0.038, kb_relative_information_score: 25.8467, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1866.7447, usercpu_time_millis: 58.975, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 58.566,

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