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: 0.9935, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 28961.2623, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1254.304, usercpu_time_millis: 1581.918, usercpu_time_millis_testing: 54.593, usercpu_time_millis_training: 1527.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9579, kappa: 0.8964, kb_relative_information_score: 27634.397, mean_absolute_error: 0.087, 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: 0.2133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4081, scimark_benchmark: 1291.206, usercpu_time_millis: 490.966, usercpu_time_millis_testing: 27.389, usercpu_time_millis_training: 463.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.96, kappa: 0.9019, kb_relative_information_score: 28393.1579, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3915, scimark_benchmark: 1308.1603, usercpu_time_millis: 1765.367, usercpu_time_millis_testing: 33.178, usercpu_time_millis_training: 1732.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9636, kappa: 0.9106, kb_relative_information_score: 28656.1468, mean_absolute_error: 0.0744, 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: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3752, scimark_benchmark: 1315.4745, usercpu_time_millis: 961.874, usercpu_time_millis_testing: 40.986, usercpu_time_millis_training: 920.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9201, kappa: 0.7988, kb_relative_information_score: 18331.4548, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.6023, scimark_benchmark: 1247.8565, usercpu_time_millis: 563.905, usercpu_time_millis_testing: 36.103, usercpu_time_millis_training: 527.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9565, kappa: 0.8928, kb_relative_information_score: 26780.5912, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4176, scimark_benchmark: 1255.3471, usercpu_time_millis: 1098.227, usercpu_time_millis_testing: 67.98, usercpu_time_millis_training: 1030.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 28993.4067, mean_absolute_error: 0.0695, 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: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688, scimark_benchmark: 1316.0054, usercpu_time_millis: 651, usercpu_time_millis_testing: 14.07, usercpu_time_millis_training: 636.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9552, kappa: 0.8898, kb_relative_information_score: 27371.7161, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182, scimark_benchmark: 1311.2789, usercpu_time_millis: 1689.905, usercpu_time_millis_testing: 32.34, usercpu_time_millis_training: 1657.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9023, kb_relative_information_score: 27711.4354, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1270.9058, usercpu_time_millis: 723.116, usercpu_time_millis_testing: 33.845, usercpu_time_millis_training: 689.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9524, kappa: 0.8831, kb_relative_information_score: 27144.4157, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4309, scimark_benchmark: 1259.1275, usercpu_time_millis: 2111.17, usercpu_time_millis_testing: 53.49, usercpu_time_millis_training: 2057.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9532, kappa: 0.8842, kb_relative_information_score: 24866.3201, mean_absolute_error: 0.1283, 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: 0.3143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4535, scimark_benchmark: 1261.3103, usercpu_time_millis: 1007.054, usercpu_time_millis_testing: 69.361, usercpu_time_millis_training: 937.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9463, kappa: 0.8674, kb_relative_information_score: 26079.0813, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516, scimark_benchmark: 1286.1675, usercpu_time_millis: 1058.205, usercpu_time_millis_testing: 29.137, usercpu_time_millis_training: 1029.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9535, kappa: 0.8851, kb_relative_information_score: 26331.1108, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1255.5884, usercpu_time_millis: 889.771, usercpu_time_millis_testing: 31.877, usercpu_time_millis_training: 857.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9622, kappa: 0.907, kb_relative_information_score: 28274.2811, mean_absolute_error: 0.0796, 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: 0.195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1293.9416, usercpu_time_millis: 2194.848, usercpu_time_millis_testing: 77.217, usercpu_time_millis_training: 2117.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9642, kappa: 0.912, kb_relative_information_score: 28927.5952, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3716, scimark_benchmark: 1237.6572, usercpu_time_millis: 1730.662, usercpu_time_millis_testing: 50.45, usercpu_time_millis_training: 1680.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9558, kappa: 0.8912, kb_relative_information_score: 27227.0567, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4146, scimark_benchmark: 1279.4539, usercpu_time_millis: 289.079, usercpu_time_millis_testing: 17.835, usercpu_time_millis_training: 271.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29139.2122, mean_absolute_error: 0.0674, 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: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1276.8776, usercpu_time_millis: 823.976, usercpu_time_millis_testing: 13.754, usercpu_time_millis_training: 810.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9692, kappa: 0.9243, kb_relative_information_score: 29496.9791, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3447, scimark_benchmark: 1308.5077, usercpu_time_millis: 796.475, usercpu_time_millis_testing: 23.899, usercpu_time_millis_training: 772.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9534, kappa: 0.8855, kb_relative_information_score: 27228.0339, mean_absolute_error: 0.0912, 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: 0.2234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4254, scimark_benchmark: 1247.3532, usercpu_time_millis: 1901.073, usercpu_time_millis_testing: 69.199, usercpu_time_millis_training: 1831.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 28751.3337, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.372, scimark_benchmark: 1225.8851, usercpu_time_millis: 459.992, usercpu_time_millis_testing: 19.32, usercpu_time_millis_training: 440.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9596, kappa: 0.9004, kb_relative_information_score: 27022.9581, mean_absolute_error: 0.0983, 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: 0.2409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4061, scimark_benchmark: 1283.7048, usercpu_time_millis: 1552.092, usercpu_time_millis_testing: 69.08, usercpu_time_millis_training: 1483.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9445, kappa: 0.8624, kb_relative_information_score: 24276.8859, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794, scimark_benchmark: 1282.555, usercpu_time_millis: 640.085, usercpu_time_millis_testing: 30.01, usercpu_time_millis_training: 610.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9582, kappa: 0.8969, kb_relative_information_score: 27320.2252, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4068, scimark_benchmark: 1244.0938, usercpu_time_millis: 938.261, usercpu_time_millis_testing: 41.818, usercpu_time_millis_training: 896.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 28807.6919, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3747, scimark_benchmark: 1277.0386, usercpu_time_millis: 628.316, usercpu_time_millis_testing: 19.1, usercpu_time_millis_training: 609.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.955, kappa: 0.8888, kb_relative_information_score: 25924.8915, mean_absolute_error: 0.1127, 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: 0.2761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.435, scimark_benchmark: 1242.781, usercpu_time_millis: 1382.166, usercpu_time_millis_testing: 60.301, usercpu_time_millis_training: 1321.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9554, kappa: 0.8904, kb_relative_information_score: 27438.52, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172, scimark_benchmark: 1248.3693, usercpu_time_millis: 1351.333, usercpu_time_millis_testing: 34.165, usercpu_time_millis_training: 1317.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9345, kappa: 0.8373, kb_relative_information_score: 21559.7472, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5384, scimark_benchmark: 1231.9709, usercpu_time_millis: 114.99, usercpu_time_millis_testing: 8.201, usercpu_time_millis_training: 106.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9585, kappa: 0.898, kb_relative_information_score: 27624.6648, mean_absolute_error: 0.0874, 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: 0.2142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.405, scimark_benchmark: 1281.0419, usercpu_time_millis: 3632.121, usercpu_time_millis_testing: 87.448, usercpu_time_millis_training: 3544.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9532, kappa: 0.8847, kb_relative_information_score: 26788.1894, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1262.2524, usercpu_time_millis: 3412.637, usercpu_time_millis_testing: 84.948, usercpu_time_millis_training: 3327.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 28589.956, mean_absolute_error: 0.0747, 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: 0.1832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1245.7766, usercpu_time_millis: 2017.111, usercpu_time_millis_testing: 41.549, usercpu_time_millis_training: 1975.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9461, kappa: 0.8667, kb_relative_information_score: 25624.3821, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4562, scimark_benchmark: 1274.3416, usercpu_time_millis: 1153.473, usercpu_time_millis_testing: 57.254, usercpu_time_millis_training: 1096.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9558, kappa: 0.8913, kb_relative_information_score: 27728.7934, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4125, scimark_benchmark: 1236.744, usercpu_time_millis: 142.708, usercpu_time_millis_testing: 6.533, usercpu_time_millis_training: 136.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.963, kappa: 0.909, kb_relative_information_score: 28348.0474, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1242.5897, usercpu_time_millis: 1830.916, usercpu_time_millis_testing: 59.81, usercpu_time_millis_training: 1771.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29412.7551, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 1312.7923, usercpu_time_millis: 3577.505, usercpu_time_millis_testing: 51.966, usercpu_time_millis_training: 3525.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9552, kappa: 0.8897, kb_relative_information_score: 26886.9575, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.421, scimark_benchmark: 1296.8493, usercpu_time_millis: 716.923, usercpu_time_millis_testing: 25.449, usercpu_time_millis_training: 691.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29797.0038, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 1277.4639, usercpu_time_millis: 200.952, usercpu_time_millis_testing: 5.336, usercpu_time_millis_training: 195.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9466, kappa: 0.8683, kb_relative_information_score: 26485.8649, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4493, scimark_benchmark: 1263.5985, usercpu_time_millis: 1306.532, usercpu_time_millis_testing: 53.121, usercpu_time_millis_training: 1253.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9564, kappa: 0.893, kb_relative_information_score: 27839.8933, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4093, scimark_benchmark: 1243.3397, usercpu_time_millis: 1850.063, usercpu_time_millis_testing: 43.975, usercpu_time_millis_training: 1806.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9407, kappa: 0.8532, kb_relative_information_score: 25566.9131, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1267.8911, usercpu_time_millis: 915.377, usercpu_time_millis_testing: 27.97, usercpu_time_millis_training: 887.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 28812.1927, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727, scimark_benchmark: 1238.4515, usercpu_time_millis: 3176.402, usercpu_time_millis_testing: 86.093, usercpu_time_millis_training: 3090.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9487, kappa: 0.8735, kb_relative_information_score: 26596.3962, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1232.9822, usercpu_time_millis: 1095.792, usercpu_time_millis_testing: 38.5, usercpu_time_millis_training: 1057.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9476, kappa: 0.8708, kb_relative_information_score: 26538.4729, mean_absolute_error: 0.0997, 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: 0.2443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4455, scimark_benchmark: 1255.6339, usercpu_time_millis: 3143.71, usercpu_time_millis_testing: 71.31, usercpu_time_millis_training: 3072.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 28893.2437, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3729, scimark_benchmark: 1257.9714, usercpu_time_millis: 4149.065, usercpu_time_millis_testing: 79.372, usercpu_time_millis_training: 4069.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9288, kappa: 0.8212, kb_relative_information_score: 19062.3751, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5835, scimark_benchmark: 1232.4915, usercpu_time_millis: 640.328, usercpu_time_millis_testing: 45.308, usercpu_time_millis_training: 595.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9339, kappa: 0.8359, kb_relative_information_score: 24898.6923, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4918, scimark_benchmark: 1244.7385, usercpu_time_millis: 2135.708, usercpu_time_millis_testing: 60.046, usercpu_time_millis_training: 2075.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28536.8555, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3853, scimark_benchmark: 1275.9918, usercpu_time_millis: 3666.146, usercpu_time_millis_testing: 90.22, usercpu_time_millis_training: 3575.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9624, kappa: 0.9075, kb_relative_information_score: 28554.3907, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.382, scimark_benchmark: 1275.2376, usercpu_time_millis: 3521.364, usercpu_time_millis_testing: 102.129, usercpu_time_millis_training: 3419.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9481, kappa: 0.8722, kb_relative_information_score: 26669.699, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4435, scimark_benchmark: 1255.674, usercpu_time_millis: 3764.952, usercpu_time_millis_testing: 85.796, usercpu_time_millis_training: 3679.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29499.6619, mean_absolute_error: 0.063, 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: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3534, scimark_benchmark: 1236.4929, usercpu_time_millis: 1240.204, usercpu_time_millis_testing: 23.692, usercpu_time_millis_training: 1216.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28345.7669, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1319.847, usercpu_time_millis: 1768.526, usercpu_time_millis_testing: 60.199, usercpu_time_millis_training: 1708.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9573, kappa: 0.8952, kb_relative_information_score: 27813.4765, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1296.9544, usercpu_time_millis: 1796.797, usercpu_time_millis_testing: 49.059, usercpu_time_millis_training: 1747.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 27449.2683, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4181, scimark_benchmark: 1266.624, usercpu_time_millis: 3686.761, usercpu_time_millis_testing: 58.629, usercpu_time_millis_training: 3628.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29080.0168, mean_absolute_error: 0.0679, 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: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1254.1771, usercpu_time_millis: 685.977, usercpu_time_millis_testing: 13.034, usercpu_time_millis_training: 672.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 28847.2774, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723, scimark_benchmark: 1305.1999, usercpu_time_millis: 501.244, usercpu_time_millis_testing: 13.309, usercpu_time_millis_training: 487.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29180.2528, mean_absolute_error: 0.0674, 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: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606, scimark_benchmark: 1265.586, usercpu_time_millis: 2902.481, usercpu_time_millis_testing: 70.119, usercpu_time_millis_training: 2832.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.936, kappa: 0.8414, kb_relative_information_score: 25152.7663, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4867, scimark_benchmark: 1231.648, usercpu_time_millis: 3376.943, usercpu_time_millis_testing: 66.266, usercpu_time_millis_training: 3310.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28219.4534, mean_absolute_error: 0.0783, 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: 0.1919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1292.0333, usercpu_time_millis: 6037.033, usercpu_time_millis_testing: 64.383, usercpu_time_millis_training: 5972.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30127.8295, mean_absolute_error: 0.0479, 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: 0.1173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1743.4746, usercpu_time_millis: 160.292, usercpu_time_millis_testing: 159.939, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1835.7111, usercpu_time_millis: 297.546, usercpu_time_millis_testing: 297.03, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 28714.7115, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4066, scimark_benchmark: 1737.7232, usercpu_time_millis: 293.204, usercpu_time_millis_testing: 292.634, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28651.101, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3841, scimark_benchmark: 1255.3394, usercpu_time_millis: 534.688, usercpu_time_millis_testing: 12.155, usercpu_time_millis_training: 522.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1100.2153, usercpu_time_millis: 562.303, usercpu_time_millis_testing: 561.414, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9573, kappa: 0.895, kb_relative_information_score: 27738.2673, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4079, scimark_benchmark: 1298.4993, usercpu_time_millis: 137.647, usercpu_time_millis_testing: 4.455, usercpu_time_millis_training: 133.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9647, kappa: 0.913, kb_relative_information_score: 27937.1456, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1243.8263, usercpu_time_millis: 444.704, usercpu_time_millis_testing: 20.398, usercpu_time_millis_training: 424.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9486, kappa: 0.8738, kb_relative_information_score: 26804.8159, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4418, scimark_benchmark: 1238.1609, usercpu_time_millis: 2173.318, usercpu_time_millis_testing: 37.85, usercpu_time_millis_training: 2135.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, 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: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1710.7007, usercpu_time_millis: 188.264, usercpu_time_millis_testing: 187.874, usercpu_time_millis_training: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 29567.3271, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4007, scimark_benchmark: 1737.7837, usercpu_time_millis: 234.306, usercpu_time_millis_testing: 233.777, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1830.1814, usercpu_time_millis: 314.679, usercpu_time_millis_testing: 314.128, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1126.8874, usercpu_time_millis: 439.28, usercpu_time_millis_testing: 438.454, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1250.9077, usercpu_time_millis: 558.034, usercpu_time_millis_testing: 557.141, usercpu_time_millis_training: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, 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: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1141.4433, usercpu_time_millis: 563.457, usercpu_time_millis_testing: 562.568, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9544, kappa: 0.8879, kb_relative_information_score: 27334.1225, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4223, scimark_benchmark: 1264.549, usercpu_time_millis: 2889.782, usercpu_time_millis_testing: 76.458, usercpu_time_millis_training: 2813.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9531, kappa: 0.8846, kb_relative_information_score: 27067.6159, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1238.264, usercpu_time_millis: 1215.458, usercpu_time_millis_testing: 52.948, usercpu_time_millis_training: 1162.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9571, kappa: 0.8948, kb_relative_information_score: 29717.6661, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1738.5935, usercpu_time_millis: 229.082, usercpu_time_millis_testing: 228.679, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, 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: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1823.8, usercpu_time_millis: 244.246, usercpu_time_millis_testing: 243.69, usercpu_time_millis_training: 0.556,
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: 1618.9908, usercpu_time_millis: 235.695, usercpu_time_millis_testing: 235.252, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1848.321, usercpu_time_millis: 291.104, usercpu_time_millis_testing: 290.579, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9527, kappa: 0.8841, kb_relative_information_score: 28483.6742, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1842.3188, usercpu_time_millis: 302.939, usercpu_time_millis_testing: 302.412, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9375, kappa: 0.8453, kb_relative_information_score: 25537.2685, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4775, scimark_benchmark: 1261.216, usercpu_time_millis: 223.412, usercpu_time_millis_testing: 6.694, usercpu_time_millis_training: 216.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9438, kappa: 0.8611, kb_relative_information_score: 25720.2337, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4589, scimark_benchmark: 1319.3718, usercpu_time_millis: 500.761, usercpu_time_millis_testing: 19.14, usercpu_time_millis_training: 481.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1844.2035, usercpu_time_millis: 422.14, usercpu_time_millis_testing: 421.558, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29803.1923, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3457, scimark_benchmark: 1301.8548, usercpu_time_millis: 3258.02, usercpu_time_millis_testing: 41.622, usercpu_time_millis_training: 3216.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9268, kappa: 0.8161, kb_relative_information_score: 18871.0263, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5883, scimark_benchmark: 1299.9261, usercpu_time_millis: 766.916, usercpu_time_millis_testing: 55.081, usercpu_time_millis_training: 711.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9566, kappa: 0.8931, kb_relative_information_score: 27439.6505, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1253.8472, usercpu_time_millis: 1892.262, usercpu_time_millis_testing: 66.766, usercpu_time_millis_training: 1825.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, 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: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 2031.5158, usercpu_time_millis: 118.978, usercpu_time_millis_testing: 118.66, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9534, kappa: 0.8852, kb_relative_information_score: 26872.9537, mean_absolute_error: 0.0971, 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: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4263, scimark_benchmark: 1261.2101, usercpu_time_millis: 1546.713, usercpu_time_millis_testing: 55.578, usercpu_time_millis_training: 1491.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1725.723, usercpu_time_millis: 331.09, usercpu_time_millis_testing: 330.523, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 28728.2044, mean_absolute_error: 0.073, 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: 0.1789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1225.6736, usercpu_time_millis: 2199.241, usercpu_time_millis_testing: 80.819, usercpu_time_millis_training: 2118.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9614, kappa: 0.9051, kb_relative_information_score: 28140.1582, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.387, scimark_benchmark: 1237.7953, usercpu_time_millis: 252.541, usercpu_time_millis_testing: 12.138, usercpu_time_millis_training: 240.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1746.348, usercpu_time_millis: 187.322, usercpu_time_millis_testing: 186.973, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28216.8542, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3967, scimark_benchmark: 1249.4054, usercpu_time_millis: 4055.2, usercpu_time_millis_testing: 75.066, usercpu_time_millis_training: 3980.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9481, kappa: 0.8718, kb_relative_information_score: 26132.144, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1311.2014, usercpu_time_millis: 1644.861, usercpu_time_millis_testing: 44.127, usercpu_time_millis_training: 1600.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28305.49, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3937, scimark_benchmark: 1278.613, usercpu_time_millis: 4064.762, usercpu_time_millis_testing: 98.165, usercpu_time_millis_training: 3966.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9592, kappa: 0.8998, kb_relative_information_score: 28300.3936, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3949, scimark_benchmark: 1276.394, usercpu_time_millis: 3828.255, usercpu_time_millis_testing: 76.226, usercpu_time_millis_training: 3752.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28917.6672, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688, scimark_benchmark: 1316.529, usercpu_time_millis: 1929.014, usercpu_time_millis_testing: 70.638, usercpu_time_millis_training: 1858.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29259.4606, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3521, scimark_benchmark: 1296.2089, usercpu_time_millis: 733.366, usercpu_time_millis_testing: 26.652, usercpu_time_millis_training: 706.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28245.1541, mean_absolute_error: 0.0804, 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: 0.1969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3826, scimark_benchmark: 1301.2828, usercpu_time_millis: 578.945, usercpu_time_millis_testing: 33.649, usercpu_time_millis_training: 545.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9587, kappa: 0.8978, kb_relative_information_score: 25936.2132, mean_absolute_error: 0.1148, 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: 0.2813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.4235, scimark_benchmark: 1292.8909, usercpu_time_millis: 465.747, usercpu_time_millis_testing: 28.671, usercpu_time_millis_training: 437.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9546, kappa: 0.8883, kb_relative_information_score: 26934.2964, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4223, scimark_benchmark: 1316.6254, usercpu_time_millis: 1808.884, usercpu_time_millis_testing: 71.626, usercpu_time_millis_training: 1737.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9561, kappa: 0.8921, kb_relative_information_score: 27283.6738, mean_absolute_error: 0.0918, 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: 0.2249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4146, scimark_benchmark: 1318.2394, usercpu_time_millis: 1811.585, usercpu_time_millis_testing: 50.638, usercpu_time_millis_training: 1760.947,

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