OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

59008 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: 0.9906, f_measure: 0.9829, kappa: 0.8295, kb_relative_information_score: 2889.1166, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4886, scimark_benchmark: 1278.7094, usercpu_time_millis: 100.981, usercpu_time_millis_testing: 4.948, usercpu_time_millis_training: 96.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9198, kb_relative_information_score: -1472.1647, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.9389, scimark_benchmark: 1296.6164, usercpu_time_millis: 46.038, usercpu_time_millis_testing: 5.073, usercpu_time_millis_training: 40.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9843, kappa: 0.8422, kb_relative_information_score: 3089.7966, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4792, scimark_benchmark: 1299.223, usercpu_time_millis: 208.809, usercpu_time_millis_testing: 8.852, usercpu_time_millis_training: 199.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9382, kappa: 0.2584, kb_relative_information_score: 210.692, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.3037, recall: 0.9541, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.177, root_relative_squared_error: 0.7835, scimark_benchmark: 1281.3911, usercpu_time_millis: 75.232, usercpu_time_millis_testing: 4.75, usercpu_time_millis_training: 70.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9728, kappa: 0.7233, kb_relative_information_score: 2092.0656, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.598, scimark_benchmark: 1274.9742, usercpu_time_millis: 68.335, usercpu_time_millis_testing: 2.999, usercpu_time_millis_training: 65.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9846, kappa: 0.8452, kb_relative_information_score: 2934.8933, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4827, scimark_benchmark: 1297.6165, usercpu_time_millis: 144.324, usercpu_time_millis_testing: 6.63, usercpu_time_millis_training: 137.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9478, kappa: 0.3895, kb_relative_information_score: 313.3821, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9585, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7615, scimark_benchmark: 1297.6068, usercpu_time_millis: 100.554, usercpu_time_millis_testing: 6.565, usercpu_time_millis_training: 93.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.984, kappa: 0.8391, kb_relative_information_score: 3001.3758, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4783, scimark_benchmark: 1292.8468, usercpu_time_millis: 176.649, usercpu_time_millis_testing: 9.054, usercpu_time_millis_training: 167.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9713, kappa: 0.6918, kb_relative_information_score: 1910.791, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5933, scimark_benchmark: 1283.8238, usercpu_time_millis: 89.728, usercpu_time_millis_testing: 7.031, usercpu_time_millis_training: 82.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9806, kappa: 0.7999, kb_relative_information_score: 2830.0895, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5021, scimark_benchmark: 1282.7958, usercpu_time_millis: 117.626, usercpu_time_millis_testing: 7.243, usercpu_time_millis_training: 110.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9683, kappa: 0.6727, kb_relative_information_score: 891.8957, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.7197, scimark_benchmark: 1299.7741, usercpu_time_millis: 21.088, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 19.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9711, kappa: 0.6866, kb_relative_information_score: 2305.2325, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.583, scimark_benchmark: 1299.4431, usercpu_time_millis: 67.055, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 63.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9839, kappa: 0.8391, kb_relative_information_score: 3128.2592, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4736, scimark_benchmark: 1297.8517, usercpu_time_millis: 88.274, usercpu_time_millis_testing: 3.606, usercpu_time_millis_training: 84.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9198, kb_relative_information_score: -594.0341, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.8581, scimark_benchmark: 1275.5378, usercpu_time_millis: 69.308, usercpu_time_millis_testing: 7.252, usercpu_time_millis_training: 62.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9684, kappa: 0.6619, kb_relative_information_score: 1079.7993, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6933, scimark_benchmark: 1285.9685, usercpu_time_millis: 9.499, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 8.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9198, kb_relative_information_score: -1252.5428, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.917, scimark_benchmark: 1277.7922, usercpu_time_millis: 33.958, usercpu_time_millis_testing: 3.018, usercpu_time_millis_training: 30.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9732, kappa: 0.7127, kb_relative_information_score: 2365.9329, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9751, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.5696, scimark_benchmark: 1295.656, usercpu_time_millis: 146.685, usercpu_time_millis_testing: 10.505, usercpu_time_millis_training: 136.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.979, kappa: 0.7784, kb_relative_information_score: 2581.2923, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.5385, scimark_benchmark: 1318.9309, usercpu_time_millis: 83.374, usercpu_time_millis_testing: 5.352, usercpu_time_millis_training: 78.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.9198, kb_relative_information_score: -2840.5956, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9774, scimark_benchmark: 1306.6841, usercpu_time_millis: 3.533, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9679, kappa: 0.6542, kb_relative_information_score: 1520.4986, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6365, scimark_benchmark: 1314.8521, usercpu_time_millis: 72.169, usercpu_time_millis_testing: 5.752, usercpu_time_millis_training: 66.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9746, kappa: 0.7303, kb_relative_information_score: 2346.4235, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5612, scimark_benchmark: 1290.1241, usercpu_time_millis: 209.814, usercpu_time_millis_testing: 14.015, usercpu_time_millis_training: 195.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.9198, kb_relative_information_score: -2448.1687, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9739, scimark_benchmark: 1315.9455, usercpu_time_millis: 24.664, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 22.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9452, kappa: 0.3532, kb_relative_information_score: 325.3955, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9582, predictive_accuracy: 0.9578, prior_entropy: 0.3037, recall: 0.9578, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.174, root_relative_squared_error: 0.7703, scimark_benchmark: 1322.8621, usercpu_time_millis: 91.145, usercpu_time_millis_testing: 7.406, usercpu_time_millis_training: 83.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9648, kappa: 0.6079, kb_relative_information_score: 1646.909, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.145, root_relative_squared_error: 0.6421, scimark_benchmark: 1310.8456, usercpu_time_millis: 80.727, usercpu_time_millis_testing: 6.489, usercpu_time_millis_training: 74.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.948, kappa: 0.3929, kb_relative_information_score: 334.4311, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.958, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.7598, scimark_benchmark: 1315.2095, usercpu_time_millis: 75.753, usercpu_time_millis_testing: 5.89, usercpu_time_millis_training: 69.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9685, kappa: 0.6684, kb_relative_information_score: 964.1687, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9685, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.7102, scimark_benchmark: 1309.3528, usercpu_time_millis: 56.917, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 53.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9348, kappa: 0.2091, kb_relative_information_score: 293.3924, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9549, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.7769, scimark_benchmark: 1322.5296, usercpu_time_millis: 26.135, usercpu_time_millis_testing: 2.29, usercpu_time_millis_training: 23.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3154.4134, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4842, scimark_benchmark: 1314.9796, usercpu_time_millis: 60.902, usercpu_time_millis_testing: 2.484, usercpu_time_millis_training: 58.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9198, kb_relative_information_score: -1975.2351, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9738, scimark_benchmark: 1317.4962, usercpu_time_millis: 56.468, usercpu_time_millis_testing: 4.831, usercpu_time_millis_training: 51.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9831, kappa: 0.8292, kb_relative_information_score: 2845.6242, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4904, scimark_benchmark: 1320.9966, usercpu_time_millis: 190.474, usercpu_time_millis_testing: 7.898, usercpu_time_millis_training: 182.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9833, kappa: 0.8317, kb_relative_information_score: 2948.7328, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4806, scimark_benchmark: 1314.7229, usercpu_time_millis: 152.384, usercpu_time_millis_testing: 7.537, usercpu_time_millis_training: 144.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9667, kappa: 0.6346, kb_relative_information_score: 1260.6614, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.6716, scimark_benchmark: 1291.607, usercpu_time_millis: 48.579, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 44.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9533, kappa: 0.4625, kb_relative_information_score: 693.9501, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9621, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7323, scimark_benchmark: 1308.1196, usercpu_time_millis: 30.549, usercpu_time_millis_testing: 2.72, usercpu_time_millis_training: 27.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9782, kappa: 0.7719, kb_relative_information_score: 2574.9142, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5345, scimark_benchmark: 1293.5591, usercpu_time_millis: 10.361, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 9.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9198, kb_relative_information_score: -1203.4688, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.923, scimark_benchmark: 1310.2225, usercpu_time_millis: 56.658, usercpu_time_millis_testing: 4.954, usercpu_time_millis_training: 51.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9833, kappa: 0.8311, kb_relative_information_score: 2915.2194, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 1302.537, usercpu_time_millis: 80.155, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 75.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9716, kappa: 0.7052, kb_relative_information_score: 1838.1167, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6066, scimark_benchmark: 1313.4031, usercpu_time_millis: 26.819, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 25.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9763, kappa: 0.7537, kb_relative_information_score: 2230.5718, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5486, scimark_benchmark: 1292.9659, usercpu_time_millis: 68.016, usercpu_time_millis_testing: 4.635, usercpu_time_millis_training: 63.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.7775, kb_relative_information_score: 2363.6279, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.5447, scimark_benchmark: 1313.6961, usercpu_time_millis: 140.606, usercpu_time_millis_testing: 6.968, usercpu_time_millis_training: 133.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9758, kappa: 0.7527, kb_relative_information_score: 2087.8102, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5674, scimark_benchmark: 1315.0405, usercpu_time_millis: 130.662, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 124.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9752, kappa: 0.7374, kb_relative_information_score: 2193.2433, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5617, scimark_benchmark: 1298.185, usercpu_time_millis: 208.687, usercpu_time_millis_testing: 9.713, usercpu_time_millis_training: 198.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9759, kappa: 0.7567, kb_relative_information_score: 2121.7484, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5732, scimark_benchmark: 1314.0712, usercpu_time_millis: 14.913, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 14.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9535, kappa: 0.4653, kb_relative_information_score: 639.7787, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7361, scimark_benchmark: 1287.3809, usercpu_time_millis: 60.164, usercpu_time_millis_testing: 4.535, usercpu_time_millis_training: 55.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9764, kappa: 0.7496, kb_relative_information_score: 2398.0183, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5546, scimark_benchmark: 1307.1496, usercpu_time_millis: 40.904, usercpu_time_millis_testing: 2.941, usercpu_time_millis_training: 37.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9709, kappa: 0.6936, kb_relative_information_score: 1304.5941, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.658, scimark_benchmark: 1319.5187, usercpu_time_millis: 79.276, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 74.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9198, kb_relative_information_score: -1627.4094, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.861, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.8829, scimark_benchmark: 1317.8397, usercpu_time_millis: 75.844, usercpu_time_millis_testing: 6.63, usercpu_time_millis_training: 69.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9198, kb_relative_information_score: -2208.5878, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.9132, scimark_benchmark: 1319.3508, usercpu_time_millis: 71.752, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 66.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9198, kb_relative_information_score: -1430.6632, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9376, scimark_benchmark: 1318.9017, usercpu_time_millis: 20.392, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 18.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9703, kappa: 0.6853, kb_relative_information_score: 1819.5801, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.606, scimark_benchmark: 1314.6474, usercpu_time_millis: 86.694, usercpu_time_millis_testing: 5.101, usercpu_time_millis_training: 81.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9835, kappa: 0.8368, kb_relative_information_score: 3276.3762, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5001, scimark_benchmark: 1314.5453, usercpu_time_millis: 129.307, usercpu_time_millis_testing: 4.47, usercpu_time_millis_training: 124.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9791, kappa: 0.7846, kb_relative_information_score: 2276.39, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5534, scimark_benchmark: 1315.6497, usercpu_time_millis: 2.569, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 2.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.963, kappa: 0.5857, kb_relative_information_score: 1687.3218, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.6572, scimark_benchmark: 1309.2994, usercpu_time_millis: 43.194, usercpu_time_millis_testing: 4.284, usercpu_time_millis_training: 38.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9725, kappa: 0.7026, kb_relative_information_score: 2350.1105, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.576, scimark_benchmark: 1289.5972, usercpu_time_millis: 93.089, usercpu_time_millis_testing: 6.83, usercpu_time_millis_training: 86.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9811, kappa: 0.8072, kb_relative_information_score: 3000.4105, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5007, scimark_benchmark: 1315.7887, usercpu_time_millis: 33.826, usercpu_time_millis_testing: 1.542, usercpu_time_millis_training: 32.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9823, kappa: 0.8244, kb_relative_information_score: 2728.4027, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9821, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.5231, scimark_benchmark: 1279.2777, usercpu_time_millis: 114.658, usercpu_time_millis_testing: 4.726, usercpu_time_millis_training: 109.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9688, kappa: 0.6785, kb_relative_information_score: 1811.4239, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.6355, scimark_benchmark: 1276.343, usercpu_time_millis: 93.393, usercpu_time_millis_testing: 5.134, usercpu_time_millis_training: 88.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9643, kappa: 0.6027, kb_relative_information_score: 1500.9094, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.6453, scimark_benchmark: 1270.8226, usercpu_time_millis: 48.931, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 45.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: -7.742, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1315.5996, usercpu_time_millis: 3.723, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 3.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9802, kappa: 0.7948, kb_relative_information_score: 2738.6852, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5103, scimark_benchmark: 1320.4099, usercpu_time_millis: 56.254, usercpu_time_millis_testing: 4.227, usercpu_time_millis_training: 52.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9198, kb_relative_information_score: -1815.9984, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.9231, scimark_benchmark: 1296.3056, usercpu_time_millis: 20.347, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 18.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9832, kappa: 0.8326, kb_relative_information_score: 2899.1279, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4888, scimark_benchmark: 1305.6361, usercpu_time_millis: 192.437, usercpu_time_millis_testing: 8.766, usercpu_time_millis_training: 183.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9821, kappa: 0.8204, kb_relative_information_score: 2473.7904, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.538, scimark_benchmark: 1283.8362, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 5.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9789, kappa: 0.7784, kb_relative_information_score: 2597.9531, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.5293, scimark_benchmark: 1314.5616, usercpu_time_millis: 51.974, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 48.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9688, kappa: 0.6775, kb_relative_information_score: 1230.3762, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.684, scimark_benchmark: 1315.1978, usercpu_time_millis: 110.463, usercpu_time_millis_testing: 5.267, usercpu_time_millis_training: 105.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9811, kappa: 0.8052, kb_relative_information_score: 2782.7211, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5029, scimark_benchmark: 1302.5497, usercpu_time_millis: 61.499, usercpu_time_millis_testing: 3.902, usercpu_time_millis_training: 57.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9548, kappa: 0.4814, kb_relative_information_score: 735.9415, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.3037, recall: 0.9634, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.7419, scimark_benchmark: 1311.0566, usercpu_time_millis: 76.177, usercpu_time_millis_testing: 5.785, usercpu_time_millis_training: 70.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9812, kappa: 0.8127, kb_relative_information_score: 2368.4909, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5468, scimark_benchmark: 1298.4898, usercpu_time_millis: 155.437, usercpu_time_millis_testing: 5.42, usercpu_time_millis_training: 150.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9803, kappa: 0.7941, kb_relative_information_score: 2655.5433, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.5253, scimark_benchmark: 1319.8456, usercpu_time_millis: 97.723, usercpu_time_millis_testing: 6.124, usercpu_time_millis_training: 91.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9838, kappa: 0.8373, kb_relative_information_score: 3053.7645, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.48, scimark_benchmark: 1316.0729, usercpu_time_millis: 86.852, usercpu_time_millis_testing: 4.681, usercpu_time_millis_training: 82.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9833, kappa: 0.8356, kb_relative_information_score: 3095.4246, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4936, scimark_benchmark: 1311.5748, usercpu_time_millis: 244.085, usercpu_time_millis_testing: 8.01, usercpu_time_millis_training: 236.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9513, kappa: 0.4359, kb_relative_information_score: 594.3555, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9608, predictive_accuracy: 0.9611, prior_entropy: 0.3037, recall: 0.9611, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.7444, scimark_benchmark: 1305.9618, usercpu_time_millis: 85.684, usercpu_time_millis_testing: 7.281, usercpu_time_millis_training: 78.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9639, kappa: 0.5993, kb_relative_information_score: 1440.3979, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9681, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6517, scimark_benchmark: 1287.1997, usercpu_time_millis: 139.809, usercpu_time_millis_testing: 9.249, usercpu_time_millis_training: 130.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9763, kappa: 0.7648, kb_relative_information_score: 2156.8785, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.5875, scimark_benchmark: 1300.1703, usercpu_time_millis: 196.158, usercpu_time_millis_testing: 6.403, usercpu_time_millis_training: 189.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9693, kappa: 0.6788, kb_relative_information_score: 1260.6073, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.6681, scimark_benchmark: 1292.4526, usercpu_time_millis: 80.905, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 77.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9705, kappa: 0.6857, kb_relative_information_score: 1859.9392, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.6001, scimark_benchmark: 1314.5604, usercpu_time_millis: 139.958, usercpu_time_millis_testing: 7.24, usercpu_time_millis_training: 132.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9835, kappa: 0.8336, kb_relative_information_score: 2910.519, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4836, scimark_benchmark: 1317.7905, usercpu_time_millis: 47.725, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 45.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9815, kappa: 0.8191, kb_relative_information_score: 3044.4847, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.5196, scimark_benchmark: 1314.9505, usercpu_time_millis: 179.485, usercpu_time_millis_testing: 5.515, usercpu_time_millis_training: 173.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9733, kappa: 0.714, kb_relative_information_score: 2379.7521, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5718, scimark_benchmark: 1310.7789, usercpu_time_millis: 42.331, usercpu_time_millis_testing: 3.138, usercpu_time_millis_training: 39.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9198, kb_relative_information_score: -591.94, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8499, scimark_benchmark: 1288.547, usercpu_time_millis: 20.19, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 18.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9833, kappa: 0.8344, kb_relative_information_score: 3281.6124, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4986, scimark_benchmark: 1294.5284, usercpu_time_millis: 105.234, usercpu_time_millis_testing: 3.682, usercpu_time_millis_training: 101.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9204, kappa: 0.0072, kb_relative_information_score: -194.9733, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9492, predictive_accuracy: 0.9463, prior_entropy: 0.3037, recall: 0.9463, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.7978, scimark_benchmark: 1285.3271, usercpu_time_millis: 12.477, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 11.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.9198, kb_relative_information_score: -5146.8028, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9764, scimark_benchmark: 1311.8516, usercpu_time_millis: 100.388, usercpu_time_millis_testing: 6.174, usercpu_time_millis_training: 94.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9643, kappa: 0.6161, kb_relative_information_score: 790.2237, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.965, predictive_accuracy: 0.968, prior_entropy: 0.3037, recall: 0.968, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.7228, scimark_benchmark: 1265.9734, usercpu_time_millis: 115.603, usercpu_time_millis_testing: 7.784, usercpu_time_millis_training: 107.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -1.995, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1317.8269, usercpu_time_millis: 30.995, usercpu_time_millis_testing: 3.382, usercpu_time_millis_training: 27.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9622, kappa: 0.5768, kb_relative_information_score: 1169.1333, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.3037, recall: 0.968, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6809, scimark_benchmark: 1325.3008, usercpu_time_millis: 102.404, usercpu_time_millis_testing: 7.908, usercpu_time_millis_training: 94.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.982, kappa: 0.8163, kb_relative_information_score: 2641.9303, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.5117, scimark_benchmark: 1293.5545, usercpu_time_millis: 120.134, usercpu_time_millis_testing: 5.47, usercpu_time_millis_training: 114.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9833, kappa: 0.8311, kb_relative_information_score: 2989.1856, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4845, scimark_benchmark: 1310.1679, usercpu_time_millis: 77.814, usercpu_time_millis_testing: 4.394, usercpu_time_millis_training: 73.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9698, kappa: 0.6857, kb_relative_information_score: 1671.1406, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.6316, scimark_benchmark: 1299.3447, usercpu_time_millis: 78.556, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 73.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9701, kappa: 0.692, kb_relative_information_score: 1935.077, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6165, scimark_benchmark: 1301.1837, usercpu_time_millis: 135.454, usercpu_time_millis_testing: 7.54, usercpu_time_millis_training: 127.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.967, kappa: 0.6381, kb_relative_information_score: 1595.7586, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.6339, scimark_benchmark: 1305.3001, usercpu_time_millis: 164.37, usercpu_time_millis_testing: 10.805, usercpu_time_millis_training: 153.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9795, kappa: 0.7866, kb_relative_information_score: 2475.7242, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.53, scimark_benchmark: 1313.5303, usercpu_time_millis: 31.915, usercpu_time_millis_testing: 2.223, usercpu_time_millis_training: 29.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9198, kb_relative_information_score: -1430.6015, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.8848, scimark_benchmark: 1319.7412, usercpu_time_millis: 83.726, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 78.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9511, kappa: 0.4344, kb_relative_information_score: 490.8278, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9601, predictive_accuracy: 0.9609, prior_entropy: 0.3037, recall: 0.9609, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.753, scimark_benchmark: 1297.9981, usercpu_time_millis: 14.09, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 12.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9729, kappa: 0.7084, kb_relative_information_score: 2322.4202, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.5782, scimark_benchmark: 1322.5626, usercpu_time_millis: 120.323, usercpu_time_millis_testing: 8.79, usercpu_time_millis_training: 111.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9636, kappa: 0.5932, kb_relative_information_score: 1356.1917, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.6627, scimark_benchmark: 1293.0953, usercpu_time_millis: 11.262, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 10.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9841, kappa: 0.8403, kb_relative_information_score: 3081.8816, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4747, scimark_benchmark: 1320.6076, usercpu_time_millis: 181.277, usercpu_time_millis_testing: 7.483, usercpu_time_millis_training: 173.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9458, kappa: 0.3618, kb_relative_information_score: 431.2953, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.3037, recall: 0.958, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.7604, scimark_benchmark: 1272.3898, usercpu_time_millis: 95.329, usercpu_time_millis_testing: 7.515, usercpu_time_millis_training: 87.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9659, kappa: 0.6294, kb_relative_information_score: 820.0839, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.7233, scimark_benchmark: 1293.2794, usercpu_time_millis: 10.283, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 9.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: -79.3092, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1308.3749, usercpu_time_millis: 3.823, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 3.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9828, kappa: 0.8247, kb_relative_information_score: 2910.15, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4889, scimark_benchmark: 1333.1667, usercpu_time_millis: 75.26, usercpu_time_millis_testing: 4.091, usercpu_time_millis_training: 71.169,

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