OpenML
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: 0.9891, f_measure: 0.9505, kappa: 0.8779, kb_relative_information_score: 26385.4363, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393, scimark_benchmark: 1289.0958, usercpu_time_millis: 173.131, usercpu_time_millis_testing: 5.558, usercpu_time_millis_training: 167.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9613, kappa: 0.9045, kb_relative_information_score: 26503.2768, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1279.8857, usercpu_time_millis: 532.291, usercpu_time_millis_testing: 26.057, usercpu_time_millis_training: 506.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9454, kappa: 0.8649, kb_relative_information_score: 25353.3578, mean_absolute_error: 0.118, 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: 0.2891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.46, scimark_benchmark: 1285.3115, usercpu_time_millis: 2002.347, usercpu_time_millis_testing: 76.144, usercpu_time_millis_training: 1926.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 28613.7017, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3739, scimark_benchmark: 1288.3374, usercpu_time_millis: 1985.555, usercpu_time_millis_testing: 54.922, usercpu_time_millis_training: 1930.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9459, kappa: 0.8657, kb_relative_information_score: 23116.0568, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4978, scimark_benchmark: 1267.5011, usercpu_time_millis: 1254.163, usercpu_time_millis_testing: 75.285, usercpu_time_millis_training: 1178.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9271, kappa: 0.8167, kb_relative_information_score: 18966.8406, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5862, scimark_benchmark: 1272.9174, usercpu_time_millis: 258.108, usercpu_time_millis_testing: 18.18, usercpu_time_millis_training: 239.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28313.7198, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1276.0511, usercpu_time_millis: 2039.943, usercpu_time_millis_testing: 52.566, usercpu_time_millis_training: 1987.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9575, kappa: 0.8953, kb_relative_information_score: 27195.7145, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4099, scimark_benchmark: 1279.2748, usercpu_time_millis: 1359.376, usercpu_time_millis_testing: 56.43, usercpu_time_millis_training: 1302.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9577, kappa: 0.8956, kb_relative_information_score: 26662.6044, mean_absolute_error: 0.1029, 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: 0.2522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153, scimark_benchmark: 1266.6658, usercpu_time_millis: 844.705, usercpu_time_millis_testing: 64.292, usercpu_time_millis_training: 780.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9598, kappa: 0.9011, kb_relative_information_score: 27941.4806, mean_absolute_error: 0.0839, 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: 0.2055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1273.7299, usercpu_time_millis: 650.174, usercpu_time_millis_testing: 28.223, usercpu_time_millis_training: 621.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.916, kappa: 0.7882, kb_relative_information_score: 17833.2018, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6139, scimark_benchmark: 1276.2013, usercpu_time_millis: 663.821, usercpu_time_millis_testing: 49.505, usercpu_time_millis_training: 614.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29340.9873, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1272.9227, usercpu_time_millis: 5118.889, usercpu_time_millis_testing: 60.472, usercpu_time_millis_training: 5058.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29566.4091, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465, scimark_benchmark: 1287.0102, usercpu_time_millis: 1121.012, usercpu_time_millis_testing: 31.834, usercpu_time_millis_training: 1089.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29508.1034, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1297.5035, usercpu_time_millis: 12796.238, usercpu_time_millis_testing: 67.369, usercpu_time_millis_training: 12728.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29215.8174, mean_absolute_error: 0.0676, 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: 0.1656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1289.9215, usercpu_time_millis: 242.99, usercpu_time_millis_testing: 10.325, usercpu_time_millis_training: 232.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.961, kappa: 0.9037, kb_relative_information_score: 26416.9013, mean_absolute_error: 0.1087, 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: 0.2663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.41, scimark_benchmark: 1290.3735, usercpu_time_millis: 390.172, usercpu_time_millis_testing: 20.149, usercpu_time_millis_training: 370.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9474, kappa: 0.8702, kb_relative_information_score: 26008.5489, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4501, scimark_benchmark: 1281.3112, usercpu_time_millis: 85.956, usercpu_time_millis_testing: 5.233, usercpu_time_millis_training: 80.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28163.3495, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3878, scimark_benchmark: 1287.3901, usercpu_time_millis: 934.687, usercpu_time_millis_testing: 37.843, usercpu_time_millis_training: 896.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9292, kappa: 0.8223, kb_relative_information_score: 19178.4692, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5812, scimark_benchmark: 1274.9427, usercpu_time_millis: 481.868, usercpu_time_millis_testing: 36.075, usercpu_time_millis_training: 445.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9685, kappa: 0.9228, kb_relative_information_score: 29540.9999, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3463, scimark_benchmark: 1289.065, usercpu_time_millis: 1324.952, usercpu_time_millis_testing: 37.272, usercpu_time_millis_training: 1287.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9643, kappa: 0.9122, kb_relative_information_score: 28702.0933, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3725, scimark_benchmark: 1287.7256, usercpu_time_millis: 2043.249, usercpu_time_millis_testing: 90.351, usercpu_time_millis_training: 1952.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9277, kappa: 0.8185, kb_relative_information_score: 18985.7496, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5854, scimark_benchmark: 1266.5688, usercpu_time_millis: 561.402, usercpu_time_millis_testing: 40.435, usercpu_time_millis_training: 520.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9296, kappa: 0.8247, kb_relative_information_score: 21245.7374, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5466, scimark_benchmark: 1266.9304, usercpu_time_millis: 112.618, usercpu_time_millis_testing: 6.978, usercpu_time_millis_training: 105.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9515, kappa: 0.8804, kb_relative_information_score: 26375.1873, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1290.4695, usercpu_time_millis: 1433.645, usercpu_time_millis_testing: 39.599, usercpu_time_millis_training: 1394.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29107.5566, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1283.695, usercpu_time_millis: 1278.995, usercpu_time_millis_testing: 51.071, usercpu_time_millis_training: 1227.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9557, kappa: 0.8906, kb_relative_information_score: 26097.5747, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4307, scimark_benchmark: 1291.024, usercpu_time_millis: 415.822, usercpu_time_millis_testing: 23.671, usercpu_time_millis_training: 392.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9374, kappa: 0.8451, kb_relative_information_score: 26792.1537, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4784, scimark_benchmark: 1292.5709, usercpu_time_millis: 16025.962, usercpu_time_millis_testing: 162.064, usercpu_time_millis_training: 15863.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9611, kappa: 0.9043, kb_relative_information_score: 27892.2158, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1264.9165, usercpu_time_millis: 993.734, usercpu_time_millis_testing: 58.955, usercpu_time_millis_training: 934.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 28509.5768, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3788, scimark_benchmark: 1284.8185, usercpu_time_millis: 1988.177, usercpu_time_millis_testing: 75.65, usercpu_time_millis_training: 1912.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 28908.0508, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1269.3383, usercpu_time_millis: 376.397, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 374.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9701, kappa: 0.9266, kb_relative_information_score: 29527.3719, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342, scimark_benchmark: 1276.7354, usercpu_time_millis: 867.785, usercpu_time_millis_testing: 31.489, usercpu_time_millis_training: 836.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9221, kappa: 0.8039, kb_relative_information_score: 18511.2352, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5981, scimark_benchmark: 1266.9725, usercpu_time_millis: 845.091, usercpu_time_millis_testing: 67.816, usercpu_time_millis_training: 777.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29504.0219, mean_absolute_error: 0.0634, 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: 0.1555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3485, scimark_benchmark: 1270.1228, usercpu_time_millis: 444.423, usercpu_time_millis_testing: 15.094, usercpu_time_millis_training: 429.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9585, kappa: 0.8979, kb_relative_information_score: 27637.7612, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1265.7095, usercpu_time_millis: 1141.16, usercpu_time_millis_testing: 62.6, usercpu_time_millis_training: 1078.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9303, kappa: 0.8251, kb_relative_information_score: 19175.4753, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5807, scimark_benchmark: 1275.3207, usercpu_time_millis: 1169.654, usercpu_time_millis_testing: 83.727, usercpu_time_millis_training: 1085.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9599, kappa: 0.9013, kb_relative_information_score: 27968.3494, mean_absolute_error: 0.0831, 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: 0.2037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1267.4283, usercpu_time_millis: 1931.472, usercpu_time_millis_testing: 65.191, usercpu_time_millis_training: 1866.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.929, kappa: 0.8231, kb_relative_information_score: 22643.8259, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5241, scimark_benchmark: 1276.9831, usercpu_time_millis: 59.866, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 56.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9551, kappa: 0.8895, kb_relative_information_score: 26980.7682, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197, scimark_benchmark: 1275.9642, usercpu_time_millis: 240.318, usercpu_time_millis_testing: 13.921, usercpu_time_millis_training: 226.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9175, kappa: 0.7922, kb_relative_information_score: 18067.2915, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6085, scimark_benchmark: 1274.5681, usercpu_time_millis: 1188.594, usercpu_time_millis_testing: 87.899, usercpu_time_millis_training: 1100.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9454, kappa: 0.8647, kb_relative_information_score: 24994.7995, mean_absolute_error: 0.1234, 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: 0.3023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4661, scimark_benchmark: 1271.5323, usercpu_time_millis: 1033.346, usercpu_time_millis_testing: 59.544, usercpu_time_millis_training: 973.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.92, kappa: 0.7986, kb_relative_information_score: 18307.4805, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9229, prior_entropy: 0.863, recall: 0.9229, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6027, scimark_benchmark: 1267.7125, usercpu_time_millis: 1014.744, usercpu_time_millis_testing: 74.848, usercpu_time_millis_training: 939.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.953, kappa: 0.8839, kb_relative_information_score: 25940.7877, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.439, scimark_benchmark: 1270.6537, usercpu_time_millis: 1445.694, usercpu_time_millis_testing: 66.568, usercpu_time_millis_training: 1379.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9584, kappa: 0.8975, kb_relative_information_score: 27206.0872, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4062, scimark_benchmark: 1272.4912, usercpu_time_millis: 1767.46, usercpu_time_millis_testing: 98.839, usercpu_time_millis_training: 1668.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29739.2359, mean_absolute_error: 0.059, 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: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3574, scimark_benchmark: 1292.4424, usercpu_time_millis: 13596.158, usercpu_time_millis_testing: 32.19, usercpu_time_millis_training: 13563.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9717, kappa: 0.9306, kb_relative_information_score: 31319.9823, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.863, recall: 0.9717, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3247, scimark_benchmark: 1270.5082, usercpu_time_millis: 17935.896, usercpu_time_millis_testing: 34.462, usercpu_time_millis_training: 17901.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9532, kappa: 0.8845, kb_relative_information_score: 26262.0984, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4341, scimark_benchmark: 1276.2373, usercpu_time_millis: 2469.53, usercpu_time_millis_testing: 101.824, usercpu_time_millis_training: 2367.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9448, kappa: 0.8632, kb_relative_information_score: 24881.6613, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4688, scimark_benchmark: 1271.5327, usercpu_time_millis: 348.696, usercpu_time_millis_testing: 19.577, usercpu_time_millis_training: 329.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9029, kappa: 0.7542, kb_relative_information_score: 16505.6149, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9118, predictive_accuracy: 0.9074, prior_entropy: 0.863, recall: 0.9074, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6441, scimark_benchmark: 1272.7629, usercpu_time_millis: 1077.154, usercpu_time_millis_testing: 75.418, usercpu_time_millis_training: 1001.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9399, kappa: 0.851, kb_relative_information_score: 24939.0521, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476, scimark_benchmark: 1272.5762, usercpu_time_millis: 566.596, usercpu_time_millis_testing: 24.804, usercpu_time_millis_training: 541.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29432.7131, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1258.9351, usercpu_time_millis: 286.588, usercpu_time_millis_testing: 7.834, usercpu_time_millis_training: 278.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29585.8215, mean_absolute_error: 0.0615, 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: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3551, scimark_benchmark: 1277.0417, usercpu_time_millis: 5783.101, usercpu_time_millis_testing: 59.455, usercpu_time_millis_training: 5723.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9147, kb_relative_information_score: 29785.3318, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3619, scimark_benchmark: 1304.8331, usercpu_time_millis: 13062.306, usercpu_time_millis_testing: 34.495, usercpu_time_millis_training: 13027.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9209, kappa: 0.801, kb_relative_information_score: 18375.3767, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.601, scimark_benchmark: 1273.6122, usercpu_time_millis: 1023.181, usercpu_time_millis_testing: 88.821, usercpu_time_millis_training: 934.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28389.1036, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1257.8347, usercpu_time_millis: 127.301, usercpu_time_millis_testing: 5.898, usercpu_time_millis_training: 121.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9619, kappa: 0.9063, kb_relative_information_score: 28249.9782, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3853, scimark_benchmark: 1269.4653, usercpu_time_millis: 482.81, usercpu_time_millis_testing: 22.902, usercpu_time_millis_training: 459.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9708, kappa: 0.9283, kb_relative_information_score: 29899.3329, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.335, scimark_benchmark: 1269.8214, usercpu_time_millis: 1252.572, usercpu_time_millis_testing: 36.79, usercpu_time_millis_training: 1215.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9378, kappa: 0.8472, kb_relative_information_score: 26100.2829, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4748, scimark_benchmark: 1309.071, usercpu_time_millis: 9930.418, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 9929.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 27731.0182, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.396, scimark_benchmark: 1267.265, usercpu_time_millis: 495.026, usercpu_time_millis_testing: 25.369, usercpu_time_millis_training: 469.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9586, kappa: 0.8979, kb_relative_information_score: 27241.411, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4053, scimark_benchmark: 1276.9058, usercpu_time_millis: 892.927, usercpu_time_millis_testing: 68.029, usercpu_time_millis_training: 824.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9562, kappa: 0.8916, kb_relative_information_score: 25493.2221, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363, scimark_benchmark: 1272.9778, usercpu_time_millis: 443.178, usercpu_time_millis_testing: 32.506, usercpu_time_millis_training: 410.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9397, kappa: 0.8504, kb_relative_information_score: 24514.2123, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4825, scimark_benchmark: 1272.3059, usercpu_time_millis: 1658.589, usercpu_time_millis_testing: 61.003, usercpu_time_millis_training: 1597.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9507, kappa: 0.8778, kb_relative_information_score: 24337.5974, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1267.7409, usercpu_time_millis: 1365.43, usercpu_time_millis_testing: 75.835, usercpu_time_millis_training: 1289.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9538, kappa: 0.886, kb_relative_information_score: 26393.3942, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1275.2157, usercpu_time_millis: 1691.184, usercpu_time_millis_testing: 60.755, usercpu_time_millis_training: 1630.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9383, kappa: 0.8465, kb_relative_information_score: 20902.4708, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5487, scimark_benchmark: 1270.5067, usercpu_time_millis: 1202.747, usercpu_time_millis_testing: 93.054, usercpu_time_millis_training: 1109.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9364, kappa: 0.8435, kb_relative_information_score: 25398.6344, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4849, scimark_benchmark: 1285.1181, usercpu_time_millis: 85.964, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 85.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9463, kappa: 0.8667, kb_relative_information_score: 23300.7933, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4932, scimark_benchmark: 1267.6451, usercpu_time_millis: 1471.952, usercpu_time_millis_testing: 87.865, usercpu_time_millis_training: 1384.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29522.1919, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3481, scimark_benchmark: 1271.3934, usercpu_time_millis: 257.745, usercpu_time_millis_testing: 8.294, usercpu_time_millis_training: 249.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29527.3888, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.346, scimark_benchmark: 1266.3714, usercpu_time_millis: 1786.175, usercpu_time_millis_testing: 52.463, usercpu_time_millis_training: 1733.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9454, kappa: 0.865, kb_relative_information_score: 25596.788, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4574, scimark_benchmark: 1276.4895, usercpu_time_millis: 1049.574, usercpu_time_millis_testing: 67.934, usercpu_time_millis_training: 981.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9516, kappa: 0.8806, kb_relative_information_score: 26451.1537, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4352, scimark_benchmark: 1270.5837, usercpu_time_millis: 1348.747, usercpu_time_millis_testing: 42.131, usercpu_time_millis_training: 1306.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.926, kappa: 0.814, kb_relative_information_score: 18820.2426, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5905, scimark_benchmark: 1272.2291, usercpu_time_millis: 847.795, usercpu_time_millis_testing: 57.963, usercpu_time_millis_training: 789.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29752.8556, mean_absolute_error: 0.0595, 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: 0.1569, root_relative_squared_error: 0.3473, scimark_benchmark: 1272.1363, usercpu_time_millis: 637.973, usercpu_time_millis_testing: 10.078, usercpu_time_millis_training: 627.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9438, kappa: 0.8617, kb_relative_information_score: 27012.0869, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4487, scimark_benchmark: 1286.0991, usercpu_time_millis: 893.727, usercpu_time_millis_testing: 2.589, usercpu_time_millis_training: 891.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 27960.1909, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3935, scimark_benchmark: 1273.5919, usercpu_time_millis: 1443.033, usercpu_time_millis_testing: 45.699, usercpu_time_millis_training: 1397.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9574, kappa: 0.8954, kb_relative_information_score: 27162.5944, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1303.2669, usercpu_time_millis: 8357.287, usercpu_time_millis_testing: 58.926, usercpu_time_millis_training: 8298.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29593.5352, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.359, scimark_benchmark: 1294.6789, usercpu_time_millis: 10108.108, usercpu_time_millis_testing: 42.827, usercpu_time_millis_training: 10065.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9563, kappa: 0.8924, kb_relative_information_score: 27018.8565, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4147, scimark_benchmark: 1276.9595, usercpu_time_millis: 2010.544, usercpu_time_millis_testing: 96.737, usercpu_time_millis_training: 1913.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9503, kappa: 0.8775, kb_relative_information_score: 26445.2138, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1257.1541, usercpu_time_millis: 141.97, usercpu_time_millis_testing: 7.207, usercpu_time_millis_training: 134.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9236, kappa: 0.8078, kb_relative_information_score: 18578.2089, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5961, scimark_benchmark: 1263.5468, usercpu_time_millis: 1206.373, usercpu_time_millis_testing: 84.772, usercpu_time_millis_training: 1121.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9567, kappa: 0.8936, kb_relative_information_score: 27407.2602, mean_absolute_error: 0.0899, 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: 0.2202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129, scimark_benchmark: 1262.1356, usercpu_time_millis: 4733.19, usercpu_time_millis_testing: 107.28, usercpu_time_millis_training: 4625.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9564, kappa: 0.893, kb_relative_information_score: 28032.0493, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4073, scimark_benchmark: 1241.384, usercpu_time_millis: 5080.899, usercpu_time_millis_testing: 57.11, usercpu_time_millis_training: 5023.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 27507.5834, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4133, scimark_benchmark: 1259.3555, usercpu_time_millis: 1606.562, usercpu_time_millis_testing: 47.698, usercpu_time_millis_training: 1558.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9201, kb_relative_information_score: 29575.0104, mean_absolute_error: 0.062, 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: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3519, scimark_benchmark: 1238.8413, usercpu_time_millis: 4340.973, usercpu_time_millis_testing: 62.898, usercpu_time_millis_training: 4278.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29651.6073, mean_absolute_error: 0.0611, 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: 0.1496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3486, scimark_benchmark: 1265.5585, usercpu_time_millis: 1407.034, usercpu_time_millis_testing: 24.77, usercpu_time_millis_training: 1382.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 30095.8483, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3374, scimark_benchmark: 1262.4414, usercpu_time_millis: 1005.491, usercpu_time_millis_testing: 15.899, usercpu_time_millis_training: 989.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29097.5596, mean_absolute_error: 0.0679, 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: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1229.6329, usercpu_time_millis: 5395.409, usercpu_time_millis_testing: 98.333, usercpu_time_millis_training: 5297.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9427, kappa: 0.8582, kb_relative_information_score: 25686.6006, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4625, scimark_benchmark: 1236.7679, usercpu_time_millis: 137.944, usercpu_time_millis_testing: 5.34, usercpu_time_millis_training: 132.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 28987.4479, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1269.327, usercpu_time_millis: 1935.326, usercpu_time_millis_testing: 55.33, usercpu_time_millis_training: 1879.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9306, kappa: 0.8272, kb_relative_information_score: 23007.9708, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5158, scimark_benchmark: 1237.2599, usercpu_time_millis: 369.286, usercpu_time_millis_testing: 24.772, usercpu_time_millis_training: 344.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9426, kappa: 0.8587, kb_relative_information_score: 26231.2329, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4602, scimark_benchmark: 1241.4127, usercpu_time_millis: 5579.346, usercpu_time_millis_testing: 96.679, usercpu_time_millis_training: 5482.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9522, kappa: 0.8823, kb_relative_information_score: 26873.286, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, scimark_benchmark: 1265.0755, usercpu_time_millis: 2107.882, usercpu_time_millis_testing: 84.222, usercpu_time_millis_training: 2023.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9496, kappa: 0.8759, kb_relative_information_score: 26591.7332, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1265.402, usercpu_time_millis: 1364.127, usercpu_time_millis_testing: 53.955, usercpu_time_millis_training: 1310.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29056.4995, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37, scimark_benchmark: 1266.1148, usercpu_time_millis: 3132.881, usercpu_time_millis_testing: 46.572, usercpu_time_millis_training: 3086.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9472, kappa: 0.8699, kb_relative_information_score: 26537.8211, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, scimark_benchmark: 1260.9196, usercpu_time_millis: 4240.961, usercpu_time_millis_testing: 68.759, usercpu_time_millis_training: 4172.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9348, kappa: 0.8381, kb_relative_information_score: 24835.5514, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4898, scimark_benchmark: 1263.655, usercpu_time_millis: 1404.002, usercpu_time_millis_testing: 51.748, usercpu_time_millis_training: 1352.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9599, kappa: 0.9013, kb_relative_information_score: 27684.5639, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3975, scimark_benchmark: 1269.5233, usercpu_time_millis: 325.324, usercpu_time_millis_testing: 16.641, usercpu_time_millis_training: 308.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 28973.0781, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3705, scimark_benchmark: 1252.5691, usercpu_time_millis: 2978.065, usercpu_time_millis_testing: 79.789, usercpu_time_millis_training: 2898.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9423, kappa: 0.8565, kb_relative_information_score: 22101.5126, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5214, scimark_benchmark: 1262.6908, usercpu_time_millis: 1648.602, usercpu_time_millis_testing: 107.498, usercpu_time_millis_training: 1541.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9295, kappa: 0.8229, kb_relative_information_score: 19094.1343, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5829, scimark_benchmark: 1263.9459, usercpu_time_millis: 1126.028, usercpu_time_millis_testing: 81.863, usercpu_time_millis_training: 1044.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9342, kappa: 0.8364, kb_relative_information_score: 20602.6692, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5567, scimark_benchmark: 1264.1715, usercpu_time_millis: 1138.164, usercpu_time_millis_testing: 73.159, usercpu_time_millis_training: 1065.005,

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