Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

76354 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: 0.9878, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 461.7159, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4115, scimark_benchmark: 1873.2167, usercpu_time_millis: 2.819, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 456.7484, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.423, scimark_benchmark: 1869.7524, usercpu_time_millis: 2.9, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 434.7498, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4339, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9527, kappa: 0.8994, kb_relative_information_score: 462.8684, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9534, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.394, scimark_benchmark: 1845.0814, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 453.6213, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4134, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.076, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 2.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 484.3194, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3921, scimark_benchmark: 1866.6776, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.0044, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4177, scimark_benchmark: 1876.8796, usercpu_time_millis: 7.092, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 6.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 468.1973, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4304, scimark_benchmark: 1866.8117, usercpu_time_millis: 22.093, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 21.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4838, kb_relative_information_score: 0.2993, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.5063, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.2328, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1762.3913, usercpu_time_millis: 1.384, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 457.2133, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4089, scimark_benchmark: 1870.9768, usercpu_time_millis: 3.286, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9492, kappa: 0.8915, kb_relative_information_score: 445.7079, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9494, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4228, scimark_benchmark: 1747.2415, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 460.0844, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4087, scimark_benchmark: 1729.5307, usercpu_time_millis: 4.618, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 470.5413, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: -0.0116, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1865.6428, usercpu_time_millis: 0.512, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 442.2159, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4293, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 457.8334, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4106, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.231, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 460.7977, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.419, scimark_benchmark: 1870.9768, usercpu_time_millis: 5.633, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 5.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 467.3719, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4048, scimark_benchmark: 1140.1591, usercpu_time_millis: 10.042, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 9.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 466.2296, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3987, scimark_benchmark: 1867.1999, usercpu_time_millis: 5.936, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 5.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 452.6879, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4253, scimark_benchmark: 1866.1679, usercpu_time_millis: 5.409, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 5.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4838, kb_relative_information_score: 0.2408, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1874.0472, usercpu_time_millis: 0.515, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9274, kappa: 0.8439, kb_relative_information_score: 405.8671, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.928, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4712, scimark_benchmark: 1867.725, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 477.6318, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3871, scimark_benchmark: 1844.8273, usercpu_time_millis: 18.653, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 18.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 461.207, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4153, scimark_benchmark: 1868.1832, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 6.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 480.1823, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.382, scimark_benchmark: 1866.2865, usercpu_time_millis: 7.141, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 6.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 464.5358, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.417, scimark_benchmark: 1875.2434, usercpu_time_millis: 8.465, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 8.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 481.1106, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3805, scimark_benchmark: 1869.9448, usercpu_time_millis: 9.144, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 8.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 463.072, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3855, scimark_benchmark: 1879.1508, usercpu_time_millis: 4.693, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 471.1812, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3931, scimark_benchmark: 1869.7524, usercpu_time_millis: 8.111, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 7.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9385, kappa: 0.8683, kb_relative_information_score: 465.0076, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4425, scimark_benchmark: 1866.2865, usercpu_time_millis: 17.619, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 17.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9056, kappa: 0.7963, kb_relative_information_score: 389.3385, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9077, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5461, scimark_benchmark: 1862.2881, usercpu_time_millis: 4.328, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: 0.3452, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4838, kb_relative_information_score: 0.2365, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1856.1949, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.2075, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9369, kappa: 0.8654, kb_relative_information_score: 457.864, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9373, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4375, scimark_benchmark: 1832.5979, usercpu_time_millis: 6.738, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 6.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 481.346, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3794, scimark_benchmark: 1861.2508, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 467.2335, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4136, scimark_benchmark: 1831.9604, usercpu_time_millis: 8.402, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 8.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 460.0038, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4138, scimark_benchmark: 1839.2482, usercpu_time_millis: 4.486, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 4.258,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4838, kb_relative_information_score: 0.4476, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.476, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 457.5438, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4141, scimark_benchmark: 1867.725, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 459.4042, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4096, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 471.0868, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3891, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.784, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 4.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 453.7012, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.398, scimark_benchmark: 1864.2071, usercpu_time_millis: 4.266, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 450.2551, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4014, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1544, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.778, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4838, kb_relative_information_score: 0.3103, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.311, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9255, kappa: 0.8394, kb_relative_information_score: 395.775, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9268, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4802, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 474.0859, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, scimark_benchmark: 1876.6882, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 486.3196, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3767, scimark_benchmark: 1868.7112, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 5.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 441.7779, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4504, scimark_benchmark: 1865.6428, usercpu_time_millis: 5.364, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 5.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 437.0943, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.936, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4458, scimark_benchmark: 2018.3216, usercpu_time_millis: 4.224, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 3.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9474, kappa: 0.8877, kb_relative_information_score: 458.7278, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9476, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4228, scimark_benchmark: 1995.2563, usercpu_time_millis: 7.401, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 7.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 484.15, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3688, scimark_benchmark: 1872.0299, usercpu_time_millis: 10.053, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 9.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9231, kappa: 0.8365, kb_relative_information_score: 435.4179, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9243, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4925, scimark_benchmark: 1870.0634, usercpu_time_millis: 12.976, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 12.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 471.674, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.391, scimark_benchmark: 1872.5609, usercpu_time_millis: 6.437, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 6.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.3941, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3829, scimark_benchmark: 1871.0467, usercpu_time_millis: 13.736, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 13.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 467.0826, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4274, scimark_benchmark: 1872.8797, usercpu_time_millis: 20.524, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 20.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 462.2241, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4322, scimark_benchmark: 1872.4881, usercpu_time_millis: 14.98, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 14.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.138, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1869.7107, usercpu_time_millis: 0.611, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 478.214, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4218, scimark_benchmark: 1849.8294, usercpu_time_millis: 18.763, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 18.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 471.0004, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4021, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.869, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 489.5659, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.356, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9471, kappa: 0.8864, kb_relative_information_score: 374.0116, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4889, scimark_benchmark: 1851.9703, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 2.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 476.3979, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3803, scimark_benchmark: 1873.0711, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: -0.2857, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1867.725, usercpu_time_millis: 0.569, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 477.8098, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3825, scimark_benchmark: 1850.9563, usercpu_time_millis: 6.22, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 6.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 477.9224, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3814, scimark_benchmark: 1860.4615, usercpu_time_millis: 4.321, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 4.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 478.1804, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3862, scimark_benchmark: 1844.3816, usercpu_time_millis: 3.69, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 3.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 457.2602, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4145, scimark_benchmark: 1866.2865, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 472.2212, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3926, scimark_benchmark: 1877.8658, usercpu_time_millis: 7.81, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 7.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.0437, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.9126, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 476.5305, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3818, scimark_benchmark: 1851.9703, usercpu_time_millis: 11.074, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 10.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 473.0331, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3731, scimark_benchmark: 1874.977, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9438, kappa: 0.8799, kb_relative_information_score: 459.8032, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4253, scimark_benchmark: 1870.4545, usercpu_time_millis: 3.555, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 3.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 460.9285, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4116, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.807, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 4.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 440.1654, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4453, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.067, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 444.2532, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4355, scimark_benchmark: 1870.5885, usercpu_time_millis: 3.636, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 3.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 484.7757, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.358, scimark_benchmark: 1868.839, usercpu_time_millis: 3.593, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 481.3626, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3833, scimark_benchmark: 1827.2446, usercpu_time_millis: 8.335, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 8.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 453.6538, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4039, scimark_benchmark: 1867.1999, usercpu_time_millis: 3.273, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 487.6551, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3638, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.094, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 5.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 463.7403, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4066, scimark_benchmark: 1865.4087, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 462.5144, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1868.5063, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 449.1221, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4314, scimark_benchmark: 1786.2292, usercpu_time_millis: 5.627, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 5.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 467.8105, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3974, scimark_benchmark: 1751.4793, usercpu_time_millis: 4.225, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 3.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 483.4047, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3684, scimark_benchmark: 1767.9465, usercpu_time_millis: 5.566, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 5.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 475.1648, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3945, scimark_benchmark: 1874.1301, usercpu_time_millis: 5.631, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 5.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 455.1375, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4163, scimark_benchmark: 1871.4349, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 490.5599, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3583, scimark_benchmark: 1868.7112, usercpu_time_millis: 11.275, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 10.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 474.9307, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3906, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 9.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 479.5972, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3918, scimark_benchmark: 1871.9601, usercpu_time_millis: 12.864, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 12.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 473.3911, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3836, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 477.7224, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3778, scimark_benchmark: 1870.5885, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9631, kappa: 0.9213, kb_relative_information_score: 460.1911, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3866, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.344, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 442.9775, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4538, scimark_benchmark: 1842.3488, usercpu_time_millis: 4.372, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 4.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 461.0099, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4179, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.492, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 473.3824, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3892, scimark_benchmark: 1834.4541, usercpu_time_millis: 11.407, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 10.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9369, kappa: 0.8654, kb_relative_information_score: 456.4702, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9373, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4391, scimark_benchmark: 1872.0299, usercpu_time_millis: 8.072, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 7.863,

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