OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31695 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
Issue #Downvotes for this reason By


Metric:

31695 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: 0.9869, f_measure: 0.9423, kappa: 0.857, kb_relative_information_score: 23595.8721, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4947, scimark_benchmark: 1828.686, usercpu_time_millis: 321.42, usercpu_time_millis_testing: 17.849, usercpu_time_millis_training: 303.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9529, kappa: 0.8842, kb_relative_information_score: 27597.8126, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4243, scimark_benchmark: 1853.9121, usercpu_time_millis: 375.159, usercpu_time_millis_testing: 3.907, usercpu_time_millis_training: 371.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9579, kappa: 0.8964, kb_relative_information_score: 27616.066, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4058, scimark_benchmark: 1850.9434, usercpu_time_millis: 317.835, usercpu_time_millis_testing: 8.488, usercpu_time_millis_training: 309.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 28038.2417, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1797.6533, usercpu_time_millis: 343.267, usercpu_time_millis_testing: 6.75, usercpu_time_millis_training: 336.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9531, kappa: 0.8848, kb_relative_information_score: 27490.1998, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, scimark_benchmark: 1853.9121, usercpu_time_millis: 336.19, usercpu_time_millis_testing: 7.708, usercpu_time_millis_training: 328.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9352, kappa: 0.8393, kb_relative_information_score: 25848.4142, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4846, scimark_benchmark: 1850.8185, usercpu_time_millis: 330.478, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 329.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9187, kappa: 0.7959, kb_relative_information_score: 23047.9835, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9214, prior_entropy: 0.863, recall: 0.9214, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5264, scimark_benchmark: 1808.311, usercpu_time_millis: 349.752, usercpu_time_millis_testing: 7.045, usercpu_time_millis_training: 342.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8877, kappa: 0.7243, kb_relative_information_score: 19309.5253, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8875, predictive_accuracy: 0.8879, prior_entropy: 0.863, recall: 0.8879, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6249, scimark_benchmark: 1825.2596, usercpu_time_millis: 397.954, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 394.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9257, kappa: 0.8142, kb_relative_information_score: 24153.7616, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5064, scimark_benchmark: 1849.3742, usercpu_time_millis: 392.79, usercpu_time_millis_testing: 9.948, usercpu_time_millis_training: 382.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9266, kappa: 0.817, kb_relative_information_score: 22072.357, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5344, scimark_benchmark: 1854.4951, usercpu_time_millis: 371.923, usercpu_time_millis_testing: 12.266, usercpu_time_millis_training: 359.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.918, kappa: 0.7938, kb_relative_information_score: 24397.5698, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5182, scimark_benchmark: 1836.1318, usercpu_time_millis: 416.023, usercpu_time_millis_testing: 4.475, usercpu_time_millis_training: 411.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9237, kappa: 0.8091, kb_relative_information_score: 22289.4542, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9256, prior_entropy: 0.863, recall: 0.9256, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5335, scimark_benchmark: 1849.7595, usercpu_time_millis: 430.982, usercpu_time_millis_testing: 13.334, usercpu_time_millis_training: 417.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8673, kappa: 0.6763, kb_relative_information_score: 17258.2691, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.868, predictive_accuracy: 0.8667, prior_entropy: 0.863, recall: 0.8667, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6847, scimark_benchmark: 1832.1397, usercpu_time_millis: 467.422, usercpu_time_millis_testing: 7.22, usercpu_time_millis_training: 460.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8635, kappa: 0.67, kb_relative_information_score: 17369.1409, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8663, predictive_accuracy: 0.8618, prior_entropy: 0.863, recall: 0.8618, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6904, scimark_benchmark: 1825.4366, usercpu_time_millis: 461.933, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 459.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8734, kappa: 0.6907, kb_relative_information_score: 17494.3994, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8739, predictive_accuracy: 0.873, prior_entropy: 0.863, recall: 0.873, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.6551, scimark_benchmark: 1795.5991, usercpu_time_millis: 439.625, usercpu_time_millis_testing: 10.782, usercpu_time_millis_training: 428.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9184, kappa: 0.7952, kb_relative_information_score: 22239.0831, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5383, scimark_benchmark: 1827.6658, usercpu_time_millis: 405.459, usercpu_time_millis_testing: 7.992, usercpu_time_millis_training: 397.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9174, kappa: 0.7925, kb_relative_information_score: 22194.2613, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.5407, scimark_benchmark: 1730.1903, usercpu_time_millis: 411.833, usercpu_time_millis_testing: 6.966, usercpu_time_millis_training: 404.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9186, kappa: 0.7956, kb_relative_information_score: 24693.4437, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.5157, scimark_benchmark: 1854.4431, usercpu_time_millis: 440.774, usercpu_time_millis_testing: 2.559, usercpu_time_millis_training: 438.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.919, kappa: 0.7964, kb_relative_information_score: 24430.5996, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9216, prior_entropy: 0.863, recall: 0.9216, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.519, scimark_benchmark: 1844.7528, usercpu_time_millis: 499.545, usercpu_time_millis_testing: 8.923, usercpu_time_millis_training: 490.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9166, kappa: 0.7904, kb_relative_information_score: 23851.3378, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5245, scimark_benchmark: 1849.8294, usercpu_time_millis: 490.727, usercpu_time_millis_testing: 3.882, usercpu_time_millis_training: 486.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9154, kappa: 0.7887, kb_relative_information_score: 22838.9341, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9174, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5346, scimark_benchmark: 1815.5992, usercpu_time_millis: 450.72, usercpu_time_millis_testing: 7.335, usercpu_time_millis_training: 443.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9184, kappa: 0.795, kb_relative_information_score: 24431.2396, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5144, scimark_benchmark: 1821.4764, usercpu_time_millis: 480.891, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 477.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9164, kappa: 0.7898, kb_relative_information_score: 24557.3099, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5204, scimark_benchmark: 1850.3603, usercpu_time_millis: 2169.635, usercpu_time_millis_testing: 9.768, usercpu_time_millis_training: 2159.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9148, kappa: 0.7856, kb_relative_information_score: 24321.9249, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5305, scimark_benchmark: 1842.6679, usercpu_time_millis: 2358.017, usercpu_time_millis_testing: 9.74, usercpu_time_millis_training: 2348.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9158, kappa: 0.788, kb_relative_information_score: 24207.6068, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5244, scimark_benchmark: 1839.0605, usercpu_time_millis: 1876.059, usercpu_time_millis_testing: 10.643, usercpu_time_millis_training: 1865.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9156, kappa: 0.7876, kb_relative_information_score: 24332.5634, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5232, scimark_benchmark: 1819.0322, usercpu_time_millis: 1859.671, usercpu_time_millis_testing: 11.83, usercpu_time_millis_training: 1847.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9566, kappa: 0.8929, kb_relative_information_score: 28987.5174, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4026, scimark_benchmark: 1310.3238, usercpu_time_millis: 15814.937, usercpu_time_millis_testing: 74.844, usercpu_time_millis_training: 15740.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 28352.0901, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1293.7056, usercpu_time_millis: 12382.21, usercpu_time_millis_testing: 73.244, usercpu_time_millis_training: 12308.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.912, kappa: 0.7789, kb_relative_information_score: 22836.7382, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9162, predictive_accuracy: 0.9149, prior_entropy: 0.863, recall: 0.9149, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.6014, usercpu_time_millis: 41.279, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 40.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9384, kappa: 0.8482, kb_relative_information_score: 26347.0571, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, usercpu_time_millis: 44.314, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 43.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.944, kappa: 0.8623, kb_relative_information_score: 27048.2912, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4825, usercpu_time_millis: 46.614, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 45.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29758.0595, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487, usercpu_time_millis: 1068.892, usercpu_time_millis_testing: 14.286, usercpu_time_millis_training: 1054.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9623, kappa: 0.907, kb_relative_information_score: 26996.9769, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, usercpu_time_millis: 226.725, usercpu_time_millis_testing: 17.004, usercpu_time_millis_training: 209.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 28936.8405, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, usercpu_time_millis: 300.372, usercpu_time_millis_testing: 19.663, usercpu_time_millis_training: 280.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 28654.1288, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3643, usercpu_time_millis: 279.413, usercpu_time_millis_testing: 18.345, usercpu_time_millis_training: 261.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9653, kappa: 0.9145, kb_relative_information_score: 28132.3889, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3749, usercpu_time_millis: 271.929, usercpu_time_millis_testing: 17.802, usercpu_time_millis_training: 254.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, usercpu_time_millis: 43.451, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 42.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9424, kappa: 0.8582, kb_relative_information_score: 26790.7719, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4909, usercpu_time_millis: 45.035, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 43.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9387, kappa: 0.849, kb_relative_information_score: 26365.2662, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, usercpu_time_millis: 45.003, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 44.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 38.477, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 37.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9293, kappa: 0.8246, kb_relative_information_score: 25328.9513, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5297, usercpu_time_millis: 43.446, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 42.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9529, kappa: 0.8844, kb_relative_information_score: 28550.896, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.44, usercpu_time_millis: 49.438, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 48.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.936, kappa: 0.8423, kb_relative_information_score: 26157.5733, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5086, usercpu_time_millis: 43.315, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 42.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9422, kappa: 0.8582, kb_relative_information_score: 27013.2214, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9422, prior_entropy: 0.863, recall: 0.9422, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4806, usercpu_time_millis: 46.533, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 45.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, usercpu_time_millis: 39.4, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 38.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, usercpu_time_millis: 43.357, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 42.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9428, kappa: 0.8596, kb_relative_information_score: 27186.2536, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9429, prior_entropy: 0.863, recall: 0.9429, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4758, usercpu_time_millis: 48.702, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 47.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9468, kappa: 0.8695, kb_relative_information_score: 27506.6845, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4692, usercpu_time_millis: 47.9, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 46.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9399, kappa: 0.8524, kb_relative_information_score: 27091.5747, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.467, scimark_benchmark: 1282.2352, usercpu_time_millis: 11357.048, usercpu_time_millis_testing: 111.602, usercpu_time_millis_training: 11245.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9536, kappa: 0.8855, kb_relative_information_score: 28753.2883, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1321.8814, usercpu_time_millis: 17305.629, usercpu_time_millis_testing: 91.13, usercpu_time_millis_training: 17214.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9498, kappa: 0.877, kb_relative_information_score: 28350.8457, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4242, scimark_benchmark: 1319.0874, usercpu_time_millis: 14642.314, usercpu_time_millis_testing: 66.486, usercpu_time_millis_training: 14575.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9412, kappa: 0.8558, kb_relative_information_score: 27260.0332, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4612, scimark_benchmark: 1305.8245, usercpu_time_millis: 10617.243, usercpu_time_millis_testing: 96.973, usercpu_time_millis_training: 10520.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9461, kappa: 0.8676, kb_relative_information_score: 27846.5388, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4424, scimark_benchmark: 1322.8855, usercpu_time_millis: 9476.6, usercpu_time_millis_testing: 85.484, usercpu_time_millis_training: 9391.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9486, kappa: 0.8739, kb_relative_information_score: 28303.2913, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1339.2662, usercpu_time_millis: 8223.476, usercpu_time_millis_testing: 61.289, usercpu_time_millis_training: 8162.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9059, kappa: 0.7629, kb_relative_information_score: 22003.7748, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9111, predictive_accuracy: 0.9094, prior_entropy: 0.863, recall: 0.9094, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6245, usercpu_time_millis: 39.222, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 38.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 38.219, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 37.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9407, kappa: 0.8544, kb_relative_information_score: 26710.0413, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4907, usercpu_time_millis: 44.509, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 43.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9185, kappa: 0.7963, kb_relative_information_score: 23721.7656, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5756, usercpu_time_millis: 41.397, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 40.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, usercpu_time_millis: 42.475, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 41.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, usercpu_time_millis: 38.173, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 37.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9473, kappa: 0.8706, kb_relative_information_score: 27551.754, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678, usercpu_time_millis: 46.474, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 45.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9439, kappa: 0.862, kb_relative_information_score: 27006.1863, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4835, usercpu_time_millis: 46.577, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 45.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9239, kappa: 0.8103, kb_relative_information_score: 24352.0474, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5596, usercpu_time_millis: 42.589, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 41.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.933, kappa: 0.8343, kb_relative_information_score: 25778.6959, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5177, usercpu_time_millis: 42.713, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 41.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29495.1279, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3506, usercpu_time_millis: 465.719, usercpu_time_millis_testing: 18.903, usercpu_time_millis_training: 446.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9653, kappa: 0.9145, kb_relative_information_score: 28132.3889, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3749, usercpu_time_millis: 263.87, usercpu_time_millis_testing: 19.832, usercpu_time_millis_training: 244.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29549.9204, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, usercpu_time_millis: 539.321, usercpu_time_millis_testing: 15.74, usercpu_time_millis_training: 523.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8627, kappa: 0.6487, kb_relative_information_score: 15246.3796, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8861, predictive_accuracy: 0.8738, prior_entropy: 0.863, recall: 0.8738, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6726, usercpu_time_millis: 97.822, usercpu_time_millis_testing: 5.798, usercpu_time_millis_training: 92.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 29518.4193, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3504, usercpu_time_millis: 562.036, usercpu_time_millis_testing: 17.378, usercpu_time_millis_training: 544.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29782.5574, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3481, usercpu_time_millis: 1164.567, usercpu_time_millis_testing: 12.255, usercpu_time_millis_training: 1152.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9623, kappa: 0.907, kb_relative_information_score: 26996.9769, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, usercpu_time_millis: 211.884, usercpu_time_millis_testing: 14.591, usercpu_time_millis_training: 197.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9544, kappa: 0.887, kb_relative_information_score: 23977.6871, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, usercpu_time_millis: 159.487, usercpu_time_millis_testing: 8.673, usercpu_time_millis_training: 150.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9523, kappa: 0.883, kb_relative_information_score: 28787.9474, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9523, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4348, usercpu_time_millis: 50.754, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 49.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9495, kappa: 0.8761, kb_relative_information_score: 27902.2078, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4568, usercpu_time_millis: 46.823, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 45.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, usercpu_time_millis: 41.711, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 40.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9236, kappa: 0.8097, kb_relative_information_score: 24331.5839, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5601, usercpu_time_millis: 42.584, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 41.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, usercpu_time_millis: 37.754, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 36.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, usercpu_time_millis: 38.538, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 37.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9438, kappa: 0.8617, kb_relative_information_score: 26936.5686, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4862, usercpu_time_millis: 45.619, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 44.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9476, kappa: 0.8716, kb_relative_information_score: 27983.115, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525, usercpu_time_millis: 51.41, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 50.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9384, kappa: 0.8482, kb_relative_information_score: 26347.0571, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, usercpu_time_millis: 44.278, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 43.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9236, kappa: 0.8097, kb_relative_information_score: 24331.5839, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5601, usercpu_time_millis: 42.543, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 41.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9526, kappa: 0.8837, kb_relative_information_score: 28705.2594, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4372, usercpu_time_millis: 49.176, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 48.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 37.161, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 35.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.905, kappa: 0.761, kb_relative_information_score: 21848.0108, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9083, prior_entropy: 0.863, recall: 0.9083, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6287, usercpu_time_millis: 38.607, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 37.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 37.743, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 36.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9527, kappa: 0.8839, kb_relative_information_score: 29087.3689, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4356, usercpu_time_millis: 51.563, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 50.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.923, kappa: 0.8079, kb_relative_information_score: 24206.2403, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9244, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5643, usercpu_time_millis: 41.775, usercpu_time_millis_testing: 1.107, usercpu_time_millis_training: 40.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, usercpu_time_millis: 37.735, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 36.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, usercpu_time_millis: 36.288, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 35.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, usercpu_time_millis: 38.51, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 37.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, usercpu_time_millis: 41.389, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 40.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.5954, kb_relative_information_score: -2039.9938, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0162, usercpu_time_millis: 50.338, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 49.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9482, kappa: 0.8729, kb_relative_information_score: 28125.3406, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4288, usercpu_time_millis: 1764.936, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 1763.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 29677.8302, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, usercpu_time_millis: 1930.915, usercpu_time_millis_testing: 9.338, usercpu_time_millis_training: 1921.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9412, kappa: 0.8553, kb_relative_information_score: 28321.8052, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4696, usercpu_time_millis: 2088.171, usercpu_time_millis_testing: 4.781, usercpu_time_millis_training: 2083.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9634, kappa: 0.9103, kb_relative_information_score: 15727.236, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6146, usercpu_time_millis: 4714.681, usercpu_time_millis_testing: 38.533, usercpu_time_millis_training: 4676.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9403, kappa: 0.8529, kb_relative_information_score: 26338.7411, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5093, usercpu_time_millis: 28631.857, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 28630.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, usercpu_time_millis: 25.227, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 24.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9586, kappa: 0.8985, kb_relative_information_score: 29335.6893, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3913, usercpu_time_millis: 3523.32, usercpu_time_millis_testing: 32.005, usercpu_time_millis_training: 3491.315,

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