Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32334 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: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1740.5175, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1738.9133, usercpu_time_millis: 3.211, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9314, kappa: 0.8303, kb_relative_information_score: 23282.8877, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5173, scimark_benchmark: 1746.7581, usercpu_time_millis: 7.098, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 6.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9387, kappa: 0.8493, kb_relative_information_score: 25495.6882, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4786, scimark_benchmark: 1720.9528, usercpu_time_millis: 17.433, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 17.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9468, kappa: 0.8695, kb_relative_information_score: 27774.3939, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4347, scimark_benchmark: 1719.131, usercpu_time_millis: 74.856, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 74.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9416, kappa: 0.8565, kb_relative_information_score: 26563.9902, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4585, scimark_benchmark: 1876.1686, usercpu_time_millis: 26.648, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 26.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.946, kappa: 0.8675, kb_relative_information_score: 27584.1661, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4388, scimark_benchmark: 1736.6368, usercpu_time_millis: 59.788, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 59.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9459, kappa: 0.8671, kb_relative_information_score: 27544.9233, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.441, scimark_benchmark: 1866.9033, usercpu_time_millis: 53.482, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 53.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9462, kappa: 0.8679, kb_relative_information_score: 27683.0877, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4361, scimark_benchmark: 1850.5803, usercpu_time_millis: 68.454, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 68.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28228.5378, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1853.454, usercpu_time_millis: 28.712, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 27.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9569, kappa: 0.8941, kb_relative_information_score: 28052.0973, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4059, scimark_benchmark: 1831.8735, usercpu_time_millis: 51.105, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 49.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9608, kappa: 0.9034, kb_relative_information_score: 28205.7209, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1831.3825, usercpu_time_millis: 22.961, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 21.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29430.6003, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681, scimark_benchmark: 1844.9418, usercpu_time_millis: 53.799, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 53.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9509, kappa: 0.8797, kb_relative_information_score: 28462.0717, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4282, scimark_benchmark: 1844.677, usercpu_time_millis: 14.069, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 13.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29628.6831, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1838.2986, usercpu_time_millis: 125.654, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 124.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 28847.4192, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1857.1082, usercpu_time_millis: 47.268, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 45.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28864.9973, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1849.2614, usercpu_time_millis: 20.332, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 19.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9226, kappa: 0.8052, kb_relative_information_score: 18445.6361, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5991, scimark_benchmark: 1853.9121, usercpu_time_millis: 112.895, usercpu_time_millis_testing: 8.893, usercpu_time_millis_training: 104.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28738.2828, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859, scimark_benchmark: 2050.9673, usercpu_time_millis: 119.295, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 117.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29899.1817, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3478, scimark_benchmark: 1836.6789, usercpu_time_millis: 141.464, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 140.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29581.8206, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566, scimark_benchmark: 1835.9948, usercpu_time_millis: 151.993, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 150.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9569, kappa: 0.894, kb_relative_information_score: 28187.8212, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4055, scimark_benchmark: 1823.0684, usercpu_time_millis: 204.177, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 202.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29119.8923, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3596, scimark_benchmark: 1843.2649, usercpu_time_millis: 144.383, usercpu_time_millis_testing: 5.014, usercpu_time_millis_training: 139.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9258, kappa: 0.8135, kb_relative_information_score: 18934.4128, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9282, prior_entropy: 0.863, recall: 0.9282, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5878, scimark_benchmark: 1848.2615, usercpu_time_millis: 30.939, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 29.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28835.8884, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3782, scimark_benchmark: 1759.9391, usercpu_time_millis: 51.482, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 50.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29151.6189, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3655, scimark_benchmark: 2015.3962, usercpu_time_millis: 58.39, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 56.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9317, kappa: 0.8286, kb_relative_information_score: 19457.7996, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5742, scimark_benchmark: 1811.1357, usercpu_time_millis: 156.766, usercpu_time_millis_testing: 10.995, usercpu_time_millis_training: 145.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9561, kappa: 0.8921, kb_relative_information_score: 28098.6387, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4064, scimark_benchmark: 1857.5664, usercpu_time_millis: 208.316, usercpu_time_millis_testing: 3.828, usercpu_time_millis_training: 204.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 28545.3951, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1846.6923, usercpu_time_millis: 54.514, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 51.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29383.6158, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3616, scimark_benchmark: 1784.5746, usercpu_time_millis: 51.217, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 50.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9577, kappa: 0.8958, kb_relative_information_score: 27753.3675, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4055, scimark_benchmark: 1789.7194, usercpu_time_millis: 140.074, usercpu_time_millis_testing: 7.273, usercpu_time_millis_training: 132.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28904.2222, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1853.9121, usercpu_time_millis: 276.317, usercpu_time_millis_testing: 3.208, usercpu_time_millis_training: 273.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9685, kappa: 0.9226, kb_relative_information_score: 29746.4447, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.3459, scimark_benchmark: 1834.918, usercpu_time_millis: 84.872, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 82.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28550.3034, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3838, scimark_benchmark: 1849.7595, usercpu_time_millis: 15.784, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 15.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9574, kappa: 0.8953, kb_relative_information_score: 28254.4576, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1850.2875, usercpu_time_millis: 129.856, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 128.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9567, kappa: 0.8936, kb_relative_information_score: 28124.7755, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4066, scimark_benchmark: 1849.7595, usercpu_time_millis: 46.754, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 45.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9633, kappa: 0.9097, kb_relative_information_score: 28584.9022, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1706.8723, usercpu_time_millis: 85.16, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 81.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29782.9098, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1835.7111, usercpu_time_millis: 217.535, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 214.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 28531.7118, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776, scimark_benchmark: 1827.5843, usercpu_time_millis: 198.803, usercpu_time_millis_testing: 7.966, usercpu_time_millis_training: 190.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9645, kappa: 0.9127, kb_relative_information_score: 28840.5533, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1853.454, usercpu_time_millis: 112.437, usercpu_time_millis_testing: 3.919, usercpu_time_millis_training: 108.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29740.089, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1709.4631, usercpu_time_millis: 158.28, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 155.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29535.172, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526, scimark_benchmark: 1728.0111, usercpu_time_millis: 181.254, usercpu_time_millis_testing: 3.75, usercpu_time_millis_training: 177.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28890.0042, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.38, scimark_benchmark: 1853.454, usercpu_time_millis: 189.227, usercpu_time_millis_testing: 2.114, usercpu_time_millis_training: 187.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9569, kappa: 0.8941, kb_relative_information_score: 28023.686, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067, scimark_benchmark: 1845.7061, usercpu_time_millis: 142.258, usercpu_time_millis_testing: 4.103, usercpu_time_millis_training: 138.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 29121.0452, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3765, scimark_benchmark: 2021.0857, usercpu_time_millis: 18.161, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 17.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 29142.4105, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37, scimark_benchmark: 1829.4684, usercpu_time_millis: 89.937, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 88.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 30029.1021, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.357, scimark_benchmark: 1702.4406, usercpu_time_millis: 136.389, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 135.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28608.2675, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855, scimark_benchmark: 1889.5829, usercpu_time_millis: 128.261, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 125.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9622, kappa: 0.907, kb_relative_information_score: 28894.8002, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3811, scimark_benchmark: 1847.3406, usercpu_time_millis: 225.978, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 224.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9578, kappa: 0.8963, kb_relative_information_score: 28241.7167, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1848.8462, usercpu_time_millis: 192.189, usercpu_time_millis_testing: 4.456, usercpu_time_millis_training: 187.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 29592.1224, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.384, scimark_benchmark: 1844.7928, usercpu_time_millis: 22.626, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 22.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 29180.5232, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1837.5991, usercpu_time_millis: 228.03, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 226.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9668, kappa: 0.9183, kb_relative_information_score: 29202.8469, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3581, scimark_benchmark: 1840.7617, usercpu_time_millis: 115.435, usercpu_time_millis_testing: 3.463, usercpu_time_millis_training: 111.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 30028.0419, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3552, scimark_benchmark: 1846.3057, usercpu_time_millis: 243.786, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 242.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9665, kappa: 0.9176, kb_relative_information_score: 29543.4927, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1834.8569, usercpu_time_millis: 142.228, usercpu_time_millis_testing: 1.944, usercpu_time_millis_training: 140.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28453.4121, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1774.4284, usercpu_time_millis: 234.191, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 231.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9581, kappa: 0.8969, kb_relative_information_score: 28407.0691, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1845.3986, usercpu_time_millis: 233.284, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 231.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28597.1088, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1728.5543, usercpu_time_millis: 170.054, usercpu_time_millis_testing: 5.287, usercpu_time_millis_training: 164.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 29182.8824, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 1853.3841, usercpu_time_millis: 280.26, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 278.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28601.1436, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1001.2174, usercpu_time_millis: 421.884, usercpu_time_millis_testing: 11, usercpu_time_millis_training: 410.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9582, kappa: 0.8974, kb_relative_information_score: 29078.4526, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1858.7074, usercpu_time_millis: 5.302, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 4.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9293, kappa: 0.8225, kb_relative_information_score: 19204.6228, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5807, scimark_benchmark: 1839.679, usercpu_time_millis: 163.228, usercpu_time_millis_testing: 11.198, usercpu_time_millis_training: 152.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9646, kappa: 0.9128, kb_relative_information_score: 28818.2008, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3697, scimark_benchmark: 1876.2965, usercpu_time_millis: 42.358, usercpu_time_millis_testing: 1.709, usercpu_time_millis_training: 40.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9596, kappa: 0.9004, kb_relative_information_score: 27930.6563, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938, scimark_benchmark: 1845.779, usercpu_time_millis: 132.993, usercpu_time_millis_testing: 7.327, usercpu_time_millis_training: 125.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9655, kappa: 0.9154, kb_relative_information_score: 29334.2328, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.361, scimark_benchmark: 1847.2179, usercpu_time_millis: 131.467, usercpu_time_millis_testing: 2.638, usercpu_time_millis_training: 128.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9629, kappa: 0.9086, kb_relative_information_score: 27772.2027, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3864, scimark_benchmark: 1851.8968, usercpu_time_millis: 25.27, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 23.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29739.4471, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3503, scimark_benchmark: 1849.8294, usercpu_time_millis: 148.05, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 146.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28765.1442, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1733.3606, usercpu_time_millis: 75.449, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 74.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9555, kappa: 0.89, kb_relative_information_score: 25481.0022, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4384, scimark_benchmark: 1856.0123, usercpu_time_millis: 41.323, usercpu_time_millis_testing: 2.214, usercpu_time_millis_training: 39.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29848.766, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3472, scimark_benchmark: 1735.7557, usercpu_time_millis: 55.985, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 54.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9628, kappa: 0.9085, kb_relative_information_score: 28947.9704, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1850.2875, usercpu_time_millis: 25.503, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 24.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28547.6747, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1853.454, usercpu_time_millis: 100.993, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 99.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9497, kappa: 0.8777, kb_relative_information_score: 29269.269, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4347, scimark_benchmark: 1852.859, usercpu_time_millis: 20.455, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 19.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 28264.4739, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1850.2875, usercpu_time_millis: 166.954, usercpu_time_millis_testing: 2.924, usercpu_time_millis_training: 164.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28738.6818, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1853.9121, usercpu_time_millis: 151.984, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 150.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29727.0382, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3518, scimark_benchmark: 1824.018, usercpu_time_millis: 200.508, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 198.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9295, kappa: 0.8231, kb_relative_information_score: 19239.8495, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.262, root_relative_squared_error: 0.58, scimark_benchmark: 1844.677, usercpu_time_millis: 62.097, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 57.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29751.4039, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3557, scimark_benchmark: 1855.4813, usercpu_time_millis: 29.731, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 29.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9634, kappa: 0.91, kb_relative_information_score: 29011.339, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3755, scimark_benchmark: 1851.3986, usercpu_time_millis: 77.695, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 76.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 29043.1172, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.375, scimark_benchmark: 1832.1735, usercpu_time_millis: 30.773, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 29.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 30074.7317, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1850.3214, usercpu_time_millis: 96.213, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 95.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9279, kappa: 0.819, kb_relative_information_score: 19129.066, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5832, scimark_benchmark: 1848.7762, usercpu_time_millis: 37.955, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 35.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29708.349, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3506, scimark_benchmark: 1853.9121, usercpu_time_millis: 44.923, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 43.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29419.8515, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3522, scimark_benchmark: 1848.2615, usercpu_time_millis: 113.732, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 110.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29789.5389, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3526, scimark_benchmark: 1849.447, usercpu_time_millis: 249.591, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 247.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9584, kappa: 0.8972, kb_relative_information_score: 26159.9973, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211, scimark_benchmark: 1853.454, usercpu_time_millis: 13.388, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 12.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9364, kappa: 0.8455, kb_relative_information_score: 27848.2242, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4824, scimark_benchmark: 1848.2539, usercpu_time_millis: 4.208, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29377.1396, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3638, scimark_benchmark: 1846.4335, usercpu_time_millis: 180.983, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 179.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28743.9177, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1098.5882, usercpu_time_millis: 309.191, usercpu_time_millis_testing: 3.647, usercpu_time_millis_training: 305.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9585, kappa: 0.8979, kb_relative_information_score: 28383.4171, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1853.9121, usercpu_time_millis: 147.313, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 145.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9194, kappa: 0.7971, kb_relative_information_score: 18286.3511, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.6035, scimark_benchmark: 1846.6923, usercpu_time_millis: 31.622, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 29.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9574, kappa: 0.8953, kb_relative_information_score: 28337.8936, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4025, scimark_benchmark: 1844.2935, usercpu_time_millis: 62.761, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 61.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29587.0507, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3653, scimark_benchmark: 1748.8585, usercpu_time_millis: 139.678, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 138.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29826.2511, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1811.3707, usercpu_time_millis: 318.719, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 317.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 29140.222, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1849.9051, usercpu_time_millis: 276.012, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 274.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9586, kappa: 0.8982, kb_relative_information_score: 28375.4649, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3968, scimark_benchmark: 1855.5999, usercpu_time_millis: 233.09, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 228.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29799.5395, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617, scimark_benchmark: 1842.8383, usercpu_time_millis: 270.621, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 269.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9602, kappa: 0.9023, kb_relative_information_score: 28680.456, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1849.3014, usercpu_time_millis: 300.576, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 298.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 29064.5109, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3712, scimark_benchmark: 1014.9282, usercpu_time_millis: 275.507, usercpu_time_millis_testing: 4.515, usercpu_time_millis_training: 270.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 2149.8037, usercpu_time_millis: 83.68, usercpu_time_millis_testing: 83.375, usercpu_time_millis_training: 0.305,

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