OpenML
Supervised Classification on wilt

Supervised Classification on wilt

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


Metric:

59008 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: 1.5099, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9198, kb_relative_information_score: -1281.6607, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.9292, scimark_benchmark: 1865.6428, usercpu_time_millis: 4.85, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 4.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9198, kb_relative_information_score: -1195.7753, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.8694, scimark_benchmark: 1876.23, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: -56.011, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9699, kappa: 0.6851, kb_relative_information_score: 1748.6055, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.6147, scimark_benchmark: 1869.4196, usercpu_time_millis: 0.755, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9811, kappa: 0.8147, kb_relative_information_score: 3264.1739, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5444, scimark_benchmark: 1879.2322, usercpu_time_millis: 68.213, usercpu_time_millis_testing: 2.257, usercpu_time_millis_training: 65.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9716, kappa: 0.7142, kb_relative_information_score: 2038.4688, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.6357, scimark_benchmark: 738.7527, usercpu_time_millis: 63.305, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 61.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3061.0713, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4765, scimark_benchmark: 1906.6852, usercpu_time_millis: 43.237, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 41.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9817, kappa: 0.8134, kb_relative_information_score: 2894.6478, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4992, scimark_benchmark: 1857.4313, usercpu_time_millis: 42.911, usercpu_time_millis_testing: 2.582, usercpu_time_millis_training: 40.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9832, kappa: 0.8326, kb_relative_information_score: 2679.1811, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5104, scimark_benchmark: 1797.2626, usercpu_time_millis: 39.758, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 37.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9805, kappa: 0.7991, kb_relative_information_score: 2727.7264, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5145, scimark_benchmark: 1944.1435, usercpu_time_millis: 27.698, usercpu_time_millis_testing: 1.906, usercpu_time_millis_training: 25.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9822, kappa: 0.8208, kb_relative_information_score: 2808.3555, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4948, scimark_benchmark: 1906.6852, usercpu_time_millis: 21.887, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 20.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3075.4448, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 1933.0159, usercpu_time_millis: 27.423, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 26.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9736, kappa: 0.7335, kb_relative_information_score: 2154.0817, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6063, scimark_benchmark: 1924.7972, usercpu_time_millis: 26.852, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 25.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.9198, kb_relative_information_score: -3382.6065, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.9244, scimark_benchmark: 1799.8313, usercpu_time_millis: 20.11, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 18.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9198, kb_relative_information_score: -51.1553, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.8081, scimark_benchmark: 1869.8223, usercpu_time_millis: 17.47, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 16.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9678, kappa: 0.6482, kb_relative_information_score: 1468.4743, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6506, scimark_benchmark: 739.5628, usercpu_time_millis: 12.04, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 11.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9699, kappa: 0.6733, kb_relative_information_score: 1852.5801, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6081, scimark_benchmark: 1865.8853, usercpu_time_millis: 10.611, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 9.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9787, kappa: 0.7802, kb_relative_information_score: 2492.5464, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.5274, scimark_benchmark: 1868.6447, usercpu_time_millis: 15.063, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 14.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9729, kappa: 0.7084, kb_relative_information_score: 2108.2071, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5814, scimark_benchmark: 738.7527, usercpu_time_millis: 10.753, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 10.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9198, kb_relative_information_score: -2073.7622, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.8696, scimark_benchmark: 1908.2062, usercpu_time_millis: 9.409, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 8.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9198, kb_relative_information_score: -1151.4959, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.976, scimark_benchmark: 1757.1013, usercpu_time_millis: 7.062, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 6.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9719, kappa: 0.7035, kb_relative_information_score: 1865.0185, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9725, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5966, scimark_benchmark: 1910.6578, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9745, kappa: 0.7369, kb_relative_information_score: 2021.5407, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.5781, scimark_benchmark: 1925.7169, usercpu_time_millis: 16.842, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 15.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: -1.0872, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1907.7251, usercpu_time_millis: 2.92, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 2.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9738, kappa: 0.7236, kb_relative_information_score: 2087.2483, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5674, scimark_benchmark: 1948.7283, usercpu_time_millis: 10.346, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 9.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9702, kappa: 0.6859, kb_relative_information_score: 1513.0089, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6384, scimark_benchmark: 1760.3245, usercpu_time_millis: 10.03, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 9.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9377, kappa: 0.2517, kb_relative_information_score: 184.2737, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9526, predictive_accuracy: 0.9537, prior_entropy: 0.3037, recall: 0.9537, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.176, root_relative_squared_error: 0.7789, scimark_benchmark: 1874.5188, usercpu_time_millis: 11.799, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 10.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9727, kappa: 0.7136, kb_relative_information_score: 1858.9641, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.5979, scimark_benchmark: 1851.6693, usercpu_time_millis: 4.929, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9562, kappa: 0.508, kb_relative_information_score: 542.757, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9602, predictive_accuracy: 0.9632, prior_entropy: 0.3037, recall: 0.9632, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.7506, scimark_benchmark: 1878.7854, usercpu_time_millis: 5.812, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 5.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9198, kb_relative_information_score: 5.5505, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1942.9676, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9198, kb_relative_information_score: -2506.6012, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9604, scimark_benchmark: 1923.8169, usercpu_time_millis: 4.441, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 4.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.9198, kb_relative_information_score: 4.1211, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1924.2793, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 2.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9575, kappa: 0.515, kb_relative_information_score: 1117.3278, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.158, root_relative_squared_error: 0.6996, scimark_benchmark: 1879.4874, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 2.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 9.7313, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3078.1426, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 739.1105, usercpu_time_millis: 73.709, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 71.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3018.6202, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4773, scimark_benchmark: 1868.6447, usercpu_time_millis: 39.709, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 37.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9811, kappa: 0.8052, kb_relative_information_score: 2780.0723, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.5098, scimark_benchmark: 1874.5188, usercpu_time_millis: 31.683, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 29.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.966, kappa: 0.6358, kb_relative_information_score: 900.5401, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9668, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7322, scimark_benchmark: 739.0333, usercpu_time_millis: 24.315, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 23.232,
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: 0.9849, f_measure: 0.9771, kappa: 0.7705, kb_relative_information_score: 2140.3533, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9768, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5687, scimark_benchmark: 1978.6438, usercpu_time_millis: 26.26, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 24.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9823, kappa: 0.8196, kb_relative_information_score: 2914.9485, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4991, scimark_benchmark: 1868.6447, usercpu_time_millis: 26.172, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 24.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9711, kappa: 0.6876, kb_relative_information_score: 2231.8012, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9733, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.5848, scimark_benchmark: 1869.6309, usercpu_time_millis: 28.717, usercpu_time_millis_testing: 2.476, usercpu_time_millis_training: 26.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9817, kappa: 0.8159, kb_relative_information_score: 2824.5333, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4937, scimark_benchmark: 1865.7139, usercpu_time_millis: 26.799, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 25.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9756, kappa: 0.745, kb_relative_information_score: 2105.6238, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5733, scimark_benchmark: 1926.9053, usercpu_time_millis: 20.615, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 19.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.984, kappa: 0.8415, kb_relative_information_score: 3086.0701, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4876, scimark_benchmark: 1871.2001, usercpu_time_millis: 20.975, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 20.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9738, kappa: 0.7195, kb_relative_information_score: 2247.1324, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9759, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.5788, scimark_benchmark: 739.0333, usercpu_time_millis: 13.014, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 12.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9839, kappa: 0.8409, kb_relative_information_score: 2979.3304, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4873, scimark_benchmark: 1939.3977, usercpu_time_millis: 21.434, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 20.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9198, kb_relative_information_score: -823.286, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.8836, scimark_benchmark: 1921.1836, usercpu_time_millis: 13.005, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 11.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9833, kappa: 0.8331, kb_relative_information_score: 2947.0125, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4862, scimark_benchmark: 1865.4271, usercpu_time_millis: 15.256, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 14.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9693, kappa: 0.6691, kb_relative_information_score: 1256.3146, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.6682, scimark_benchmark: 1752.969, usercpu_time_millis: 11.605, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 10.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9615, kappa: 0.5667, kb_relative_information_score: 1346.4569, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6753, scimark_benchmark: 1873.9387, usercpu_time_millis: 10.954, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 9.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9731, kappa: 0.7153, kb_relative_information_score: 2111.0069, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5674, scimark_benchmark: 1868.6447, usercpu_time_millis: 10.98, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 10.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9198, kb_relative_information_score: -1202.4723, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.933, scimark_benchmark: 1856.2585, usercpu_time_millis: 9.416, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 8.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9799, kappa: 0.7936, kb_relative_information_score: 2718.0324, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.5108, scimark_benchmark: 1872.0299, usercpu_time_millis: 11.329, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 10.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9338, kappa: 0.1963, kb_relative_information_score: 168.5363, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9528, predictive_accuracy: 0.9521, prior_entropy: 0.3037, recall: 0.9521, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7864, scimark_benchmark: 1926.9053, usercpu_time_millis: 4.807, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 4.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9198, kb_relative_information_score: -1239.6901, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9574, scimark_benchmark: 1748.4969, usercpu_time_millis: 6.726, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 5.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9776, kappa: 0.7765, kb_relative_information_score: 2200.8847, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9774, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5687, scimark_benchmark: 1877.7992, usercpu_time_millis: 5.085, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 4.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: -56.9404, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1873.8757, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9742, kappa: 0.7255, kb_relative_information_score: 2269.9266, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9755, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5659, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.462, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 3.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9198, kb_relative_information_score: -1067.3155, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9785, scimark_benchmark: 1921.742, usercpu_time_millis: 1.344, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9813, kappa: 0.8078, kb_relative_information_score: 2746.1139, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.5118, scimark_benchmark: 1943.968, usercpu_time_millis: 2.172, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9198, kb_relative_information_score: -3302.1022, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.916, scimark_benchmark: 1922.8986, usercpu_time_millis: 0.472, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9556, kappa: 0.4936, kb_relative_information_score: 681.2139, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9627, predictive_accuracy: 0.9636, prior_entropy: 0.3037, recall: 0.9636, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.7315, scimark_benchmark: 1870.8644, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9736, kappa: 0.7295, kb_relative_information_score: 2020.2304, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5897, scimark_benchmark: 1874.3338, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9791, kappa: 0.7998, kb_relative_information_score: 2719.825, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5546, scimark_benchmark: 790.5689, usercpu_time_millis: 66.253, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 64.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9698, kappa: 0.6791, kb_relative_information_score: 1761.9347, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6122, scimark_benchmark: 788.2599, usercpu_time_millis: 60.289, usercpu_time_millis_testing: 2.767, usercpu_time_millis_training: 57.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9839, kappa: 0.8403, kb_relative_information_score: 3071.7084, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4785, scimark_benchmark: 1838.1221, usercpu_time_millis: 54.854, usercpu_time_millis_testing: 2.115, usercpu_time_millis_training: 52.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3044.2236, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1873.3476, usercpu_time_millis: 48.696, usercpu_time_millis_testing: 2.525, usercpu_time_millis_training: 46.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 2612.7312, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.5327, scimark_benchmark: 787.5702, usercpu_time_millis: 45.929, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 44.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9807, kappa: 0.8015, kb_relative_information_score: 2819.7929, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5055, scimark_benchmark: 1826.6374, usercpu_time_millis: 37.053, usercpu_time_millis_testing: 2.202, usercpu_time_millis_training: 34.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 2927.296, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4824, scimark_benchmark: 1754.3505, usercpu_time_millis: 33.54, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 31.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9761, kappa: 0.7494, kb_relative_information_score: 2336.9078, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5499, scimark_benchmark: 786.7436, usercpu_time_millis: 27.199, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 25.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9732, kappa: 0.7288, kb_relative_information_score: 2012.5934, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.6054, scimark_benchmark: 1842.1733, usercpu_time_millis: 23.818, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 22.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9198, kb_relative_information_score: -3228.7417, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.9055, scimark_benchmark: 787.5702, usercpu_time_millis: 22.26, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 21.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9821, kappa: 0.8178, kb_relative_information_score: 2826.7017, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4955, scimark_benchmark: 1834.5269, usercpu_time_millis: 20.705, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 19.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9692, kappa: 0.6808, kb_relative_information_score: 1256.257, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6593, scimark_benchmark: 1760.3984, usercpu_time_millis: 22.038, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 21.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9653, kappa: 0.6208, kb_relative_information_score: 1012.1742, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.7047, scimark_benchmark: 1761.8861, usercpu_time_millis: 20.5, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 18.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9745, kappa: 0.7297, kb_relative_information_score: 2159.4839, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.5654, scimark_benchmark: 1869.1029, usercpu_time_millis: 20.734, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 19.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9697, kappa: 0.6688, kb_relative_information_score: 2102.3029, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.135, root_relative_squared_error: 0.5978, scimark_benchmark: 1818.8791, usercpu_time_millis: 20.325, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 18.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9198, kb_relative_information_score: -850.8449, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.978, scimark_benchmark: 789.421, usercpu_time_millis: 12.526, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 11.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9827, kappa: 0.8242, kb_relative_information_score: 2881.0565, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.4917, scimark_benchmark: 1869.6309, usercpu_time_millis: 15.844, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 14.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9819, kappa: 0.817, kb_relative_information_score: 2782.8823, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4974, scimark_benchmark: 1869.6309, usercpu_time_millis: 11.371, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 10.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9823, kappa: 0.8213, kb_relative_information_score: 2807.8923, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4945, scimark_benchmark: 1869.1727, usercpu_time_millis: 11.803, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 11.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.975, kappa: 0.7371, kb_relative_information_score: 2297.5866, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5532, scimark_benchmark: 1822.7799, usercpu_time_millis: 10.987, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 10.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9658, kappa: 0.6242, kb_relative_information_score: 996.8653, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.6955, scimark_benchmark: 1875.3104, usercpu_time_millis: 10.917, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 9.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9198, kb_relative_information_score: -2403.1104, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.9205, scimark_benchmark: 1872.8797, usercpu_time_millis: 6.493, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 5.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: 4.7148, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 788.63, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.0828, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1974.8043, usercpu_time_millis: 5.564, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 4.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9539, kappa: 0.4684, kb_relative_information_score: 530.6006, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.3037, recall: 0.9628, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.7423, scimark_benchmark: 1840.7954, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: -2.4118, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1825.6513, usercpu_time_millis: 3.727, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 3.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: -5.0686, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1858.2535, usercpu_time_millis: 3.822, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9198, kb_relative_information_score: -16.318, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1825.0803, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9198, kb_relative_information_score: -1708.4809, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.9014, scimark_benchmark: 1821.7537, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.9198, kb_relative_information_score: -2052.0605, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9761, scimark_benchmark: 1800.6046, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3108.8981, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4805, scimark_benchmark: 788.7237, usercpu_time_millis: 91.194, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 88.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 2811.06, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4955, scimark_benchmark: 1872.9496, usercpu_time_millis: 42.484, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 40.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9198, kb_relative_information_score: -1310.4088, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8701, scimark_benchmark: 790.1005, usercpu_time_millis: 39.957, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 37.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9825, kappa: 0.8238, kb_relative_information_score: 2879.51, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4884, scimark_benchmark: 1873.4805, usercpu_time_millis: 38.772, usercpu_time_millis_testing: 2.108, usercpu_time_millis_training: 36.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.981, kappa: 0.8064, kb_relative_information_score: 2791.0622, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4986, scimark_benchmark: 1852.1333, usercpu_time_millis: 33.148, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 31.106,

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