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: 0.9938, f_measure: 0.9671, kappa: 0.9191, kb_relative_information_score: 29514.9012, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3554, scimark_benchmark: 1298.7391, usercpu_time_millis: 405.131, usercpu_time_millis_testing: 8.348, usercpu_time_millis_training: 396.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28349.3829, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1280.5288, usercpu_time_millis: 471.027, usercpu_time_millis_testing: 11.416, usercpu_time_millis_training: 459.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 28452.9754, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1280.9724, usercpu_time_millis: 684.035, usercpu_time_millis_testing: 13.62, usercpu_time_millis_training: 670.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28774.1973, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.387, scimark_benchmark: 1279.3146, usercpu_time_millis: 722.268, usercpu_time_millis_testing: 7.22, usercpu_time_millis_training: 715.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 28116.565, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1302.1973, usercpu_time_millis: 968.562, usercpu_time_millis_testing: 31.449, usercpu_time_millis_training: 937.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 28988.5157, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1283.3849, usercpu_time_millis: 660.919, usercpu_time_millis_testing: 29.733, usercpu_time_millis_training: 631.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9653, kappa: 0.9146, kb_relative_information_score: 28767.4455, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3672, scimark_benchmark: 1276.121, usercpu_time_millis: 870.432, usercpu_time_millis_testing: 33.031, usercpu_time_millis_training: 837.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9583, kappa: 0.8974, kb_relative_information_score: 28188.2291, mean_absolute_error: 0.079, 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: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1290.0497, usercpu_time_millis: 927.866, usercpu_time_millis_testing: 30.24, usercpu_time_millis_training: 897.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29814.8342, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, scimark_benchmark: 1295.1951, usercpu_time_millis: 298.215, usercpu_time_millis_testing: 5.205, usercpu_time_millis_training: 293.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29435.8895, mean_absolute_error: 0.063, 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: 0.1543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3663, scimark_benchmark: 1271.9578, usercpu_time_millis: 587.13, usercpu_time_millis_testing: 6.749, usercpu_time_millis_training: 580.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29167.6583, mean_absolute_error: 0.0683, 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: 0.1673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3556, scimark_benchmark: 1278.6459, usercpu_time_millis: 812.419, usercpu_time_millis_testing: 32.251, usercpu_time_millis_training: 780.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 29587.5504, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1282.8878, usercpu_time_millis: 447.558, usercpu_time_millis_testing: 5.88, usercpu_time_millis_training: 441.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29483.4545, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1291.6295, usercpu_time_millis: 80.72, usercpu_time_millis_testing: 4.996, usercpu_time_millis_training: 75.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29324.36, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3696, scimark_benchmark: 1307.13, usercpu_time_millis: 352.544, usercpu_time_millis_testing: 4.878, usercpu_time_millis_training: 347.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 28508.5305, mean_absolute_error: 0.0755, 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: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1283.7537, usercpu_time_millis: 971.527, usercpu_time_millis_testing: 33.878, usercpu_time_millis_training: 937.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29705.6249, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1291.3664, usercpu_time_millis: 340.689, usercpu_time_millis_testing: 4.094, usercpu_time_millis_training: 336.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29349.0582, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3598, scimark_benchmark: 1279.8727, usercpu_time_millis: 904.381, usercpu_time_millis_testing: 16.858, usercpu_time_millis_training: 887.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9526, kappa: 0.8836, kb_relative_information_score: 28299.2856, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1281.9473, usercpu_time_millis: 52.747, usercpu_time_millis_testing: 3.908, usercpu_time_millis_training: 48.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28864.6051, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1297.4545, usercpu_time_millis: 462.826, usercpu_time_millis_testing: 5.438, usercpu_time_millis_training: 457.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9321, kappa: 0.8298, kb_relative_information_score: 19431.4984, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5748, scimark_benchmark: 1299.6339, usercpu_time_millis: 918.967, usercpu_time_millis_testing: 58.381, usercpu_time_millis_training: 860.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9646, kappa: 0.9129, kb_relative_information_score: 29067.6, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1293.4861, usercpu_time_millis: 402.716, usercpu_time_millis_testing: 12.735, usercpu_time_millis_training: 389.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9381, kappa: 0.8483, kb_relative_information_score: 28648.4287, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5167, scimark_benchmark: 1289.2643, usercpu_time_millis: 62.696, usercpu_time_millis_testing: 4.438, usercpu_time_millis_training: 58.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.963, kappa: 0.9088, kb_relative_information_score: 27683.5273, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877, scimark_benchmark: 1284.0065, usercpu_time_millis: 291.178, usercpu_time_millis_testing: 17.116, usercpu_time_millis_training: 274.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28790.724, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1276.6884, usercpu_time_millis: 313.733, usercpu_time_millis_testing: 8.357, usercpu_time_millis_training: 305.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 28804.3842, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3798, scimark_benchmark: 1298.8631, usercpu_time_millis: 839.637, usercpu_time_millis_testing: 19.585, usercpu_time_millis_training: 820.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29278.7514, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1301.2621, usercpu_time_millis: 349.965, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 344.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29183.2437, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1280.5098, usercpu_time_millis: 523.656, usercpu_time_millis_testing: 21.96, usercpu_time_millis_training: 501.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 28267.9032, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, scimark_benchmark: 1282.6193, usercpu_time_millis: 615.368, usercpu_time_millis_testing: 21.447, usercpu_time_millis_training: 593.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29645.8974, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1298.4702, usercpu_time_millis: 939.51, usercpu_time_millis_testing: 7.889, usercpu_time_millis_training: 931.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29979.2271, mean_absolute_error: 0.0546, 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: 0.1339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1296.5901, usercpu_time_millis: 211.108, usercpu_time_millis_testing: 4.696, usercpu_time_millis_training: 206.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9585, kappa: 0.898, kb_relative_information_score: 28285.6343, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1282.8196, usercpu_time_millis: 320.317, usercpu_time_millis_testing: 8.468, usercpu_time_millis_training: 311.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9616, kappa: 0.9056, kb_relative_information_score: 28906.9344, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1272.7516, usercpu_time_millis: 425.2, usercpu_time_millis_testing: 7.623, usercpu_time_millis_training: 417.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29460.15, mean_absolute_error: 0.0633, 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: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3576, scimark_benchmark: 1286.6946, usercpu_time_millis: 664.066, usercpu_time_millis_testing: 12.225, usercpu_time_millis_training: 651.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9621, kappa: 0.9066, kb_relative_information_score: 27603.9668, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3905, scimark_benchmark: 1285.5808, usercpu_time_millis: 269.122, usercpu_time_millis_testing: 14.986, usercpu_time_millis_training: 254.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 28466.9745, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1291.7905, usercpu_time_millis: 731.104, usercpu_time_millis_testing: 23.564, usercpu_time_millis_training: 707.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29603.3413, mean_absolute_error: 0.0604, 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: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3662, scimark_benchmark: 1273.1562, usercpu_time_millis: 617.768, usercpu_time_millis_testing: 4.384, usercpu_time_millis_training: 613.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9513, kappa: 0.8808, kb_relative_information_score: 28458.6443, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1273.7363, usercpu_time_millis: 75.499, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 72.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9619, kappa: 0.9059, kb_relative_information_score: 26538.0892, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4081, scimark_benchmark: 1278.6111, usercpu_time_millis: 204.658, usercpu_time_millis_testing: 10.721, usercpu_time_millis_training: 193.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29514.0229, mean_absolute_error: 0.0623, 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: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3585, scimark_benchmark: 1294.8483, usercpu_time_millis: 746.319, usercpu_time_millis_testing: 9.531, usercpu_time_millis_training: 736.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9544, kappa: 0.8872, kb_relative_information_score: 25054.8657, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4488, scimark_benchmark: 1293.8424, usercpu_time_millis: 304.665, usercpu_time_millis_testing: 22.479, usercpu_time_millis_training: 282.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29319.8336, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3621, scimark_benchmark: 1290.0271, usercpu_time_millis: 840.089, usercpu_time_millis_testing: 15.855, usercpu_time_millis_training: 824.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28607.8677, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3902, scimark_benchmark: 1280.3163, usercpu_time_millis: 929.612, usercpu_time_millis_testing: 15.222, usercpu_time_millis_training: 914.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9322, kappa: 0.8299, kb_relative_information_score: 19388.0161, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5754, scimark_benchmark: 1288.785, usercpu_time_millis: 346.992, usercpu_time_millis_testing: 23.678, usercpu_time_millis_training: 323.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28383.119, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3959, scimark_benchmark: 1271.4498, usercpu_time_millis: 666.138, usercpu_time_millis_testing: 16.971, usercpu_time_millis_training: 649.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28774.7013, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1293.8141, usercpu_time_millis: 871.587, usercpu_time_millis_testing: 8.156, usercpu_time_millis_training: 863.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9601, kappa: 0.9017, kb_relative_information_score: 27514.2678, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1272.5285, usercpu_time_millis: 927.464, usercpu_time_millis_testing: 52.727, usercpu_time_millis_training: 874.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9591, kappa: 0.8988, kb_relative_information_score: 26071.861, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.42, scimark_benchmark: 1300.0403, usercpu_time_millis: 496.771, usercpu_time_millis_testing: 31.422, usercpu_time_millis_training: 465.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29620.638, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517, scimark_benchmark: 1292.866, usercpu_time_millis: 924.632, usercpu_time_millis_testing: 12.68, usercpu_time_millis_training: 911.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29074.5843, mean_absolute_error: 0.068, 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: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3714, scimark_benchmark: 1292.972, usercpu_time_millis: 884.363, usercpu_time_millis_testing: 14.363, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9595, kappa: 0.9002, kb_relative_information_score: 27770.8617, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1292.2116, usercpu_time_millis: 919.959, usercpu_time_millis_testing: 53.802, usercpu_time_millis_training: 866.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29020.5831, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1282.179, usercpu_time_millis: 888.969, usercpu_time_millis_testing: 9.003, usercpu_time_millis_training: 879.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9587, kappa: 0.8983, kb_relative_information_score: 27884.0458, mean_absolute_error: 0.0841, 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: 0.2061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1283.7675, usercpu_time_millis: 470.765, usercpu_time_millis_testing: 26.076, usercpu_time_millis_training: 444.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28638.6145, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3863, scimark_benchmark: 1302.1896, usercpu_time_millis: 634.594, usercpu_time_millis_testing: 13.468, usercpu_time_millis_training: 621.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29550.1024, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1304.2315, usercpu_time_millis: 354.045, usercpu_time_millis_testing: 6.242, usercpu_time_millis_training: 347.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 29277.7003, mean_absolute_error: 0.0647, 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: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3721, scimark_benchmark: 1298.2791, usercpu_time_millis: 374.593, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 369.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29711.2298, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3519, scimark_benchmark: 1282.6648, usercpu_time_millis: 451.228, usercpu_time_millis_testing: 6.937, usercpu_time_millis_training: 444.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 28802.0584, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3775, scimark_benchmark: 1302.4554, usercpu_time_millis: 671.979, usercpu_time_millis_testing: 19.631, usercpu_time_millis_training: 652.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 28615.1885, mean_absolute_error: 0.0732, 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: 0.1793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1283.3463, usercpu_time_millis: 528.675, usercpu_time_millis_testing: 6.553, usercpu_time_millis_training: 522.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29438.805, mean_absolute_error: 0.0637, 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: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3569, scimark_benchmark: 1303.2717, usercpu_time_millis: 880.111, usercpu_time_millis_testing: 15.531, usercpu_time_millis_training: 864.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28629.1007, mean_absolute_error: 0.0741, 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: 0.1817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1299.8195, usercpu_time_millis: 672.586, usercpu_time_millis_testing: 21.054, usercpu_time_millis_training: 651.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 28645.7985, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1298.2094, usercpu_time_millis: 147.684, usercpu_time_millis_testing: 3.465, usercpu_time_millis_training: 144.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29560.9178, mean_absolute_error: 0.0621, 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: 0.1521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3536, scimark_benchmark: 1282.4887, usercpu_time_millis: 374.333, usercpu_time_millis_testing: 7.287, usercpu_time_millis_training: 367.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 29966.2713, mean_absolute_error: 0.0562, 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: 0.1377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3468, scimark_benchmark: 1296.5404, usercpu_time_millis: 654.382, usercpu_time_millis_testing: 7.654, usercpu_time_millis_training: 646.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9615, kappa: 0.9056, kb_relative_information_score: 29749.9586, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, scimark_benchmark: 1300.4192, usercpu_time_millis: 180.763, usercpu_time_millis_testing: 4.437, usercpu_time_millis_training: 176.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9665, kappa: 0.9177, kb_relative_information_score: 29309.6774, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1287.2398, usercpu_time_millis: 544.608, usercpu_time_millis_testing: 15.01, usercpu_time_millis_training: 529.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9568, kappa: 0.8939, kb_relative_information_score: 28111.3788, mean_absolute_error: 0.0798, 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: 0.1956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4039, scimark_benchmark: 1299.179, usercpu_time_millis: 589.858, usercpu_time_millis_testing: 17.731, usercpu_time_millis_training: 572.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29996.0252, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3547, scimark_benchmark: 1284.9133, usercpu_time_millis: 245.37, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 241.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9582, kappa: 0.8974, kb_relative_information_score: 28096.6308, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.401, scimark_benchmark: 1282.2026, usercpu_time_millis: 294.639, usercpu_time_millis_testing: 12.155, usercpu_time_millis_training: 282.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29345.2889, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.363, scimark_benchmark: 1293.7253, usercpu_time_millis: 323.718, usercpu_time_millis_testing: 8.025, usercpu_time_millis_training: 315.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29614.2957, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1278.2743, usercpu_time_millis: 700.546, usercpu_time_millis_testing: 11.441, usercpu_time_millis_training: 689.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 28420.0548, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4026, scimark_benchmark: 1288.7958, usercpu_time_millis: 223.63, usercpu_time_millis_testing: 4.74, usercpu_time_millis_training: 218.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.9017, kb_relative_information_score: 28533.2859, mean_absolute_error: 0.0743, 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: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3937, scimark_benchmark: 1281.1395, usercpu_time_millis: 659.65, usercpu_time_millis_testing: 9.174, usercpu_time_millis_training: 650.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28657.7348, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3895, scimark_benchmark: 1283.2818, usercpu_time_millis: 237.89, usercpu_time_millis_testing: 5.197, usercpu_time_millis_training: 232.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28715.5858, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1280.8179, usercpu_time_millis: 286.073, usercpu_time_millis_testing: 5.324, usercpu_time_millis_training: 280.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9549, kappa: 0.8883, kb_relative_information_score: 25225.4679, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436, scimark_benchmark: 1294.1733, usercpu_time_millis: 428.209, usercpu_time_millis_testing: 29.749, usercpu_time_millis_training: 398.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29596.9694, mean_absolute_error: 0.0618, 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: 0.1514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3497, scimark_benchmark: 1289.1384, usercpu_time_millis: 942.382, usercpu_time_millis_testing: 16.709, usercpu_time_millis_training: 925.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9647, kappa: 0.9131, kb_relative_information_score: 28336.5106, mean_absolute_error: 0.0801, 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: 0.1964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3745, scimark_benchmark: 1291.3509, usercpu_time_millis: 435.063, usercpu_time_millis_testing: 24.736, usercpu_time_millis_training: 410.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9578, kappa: 0.896, kb_relative_information_score: 27059.2576, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4104, scimark_benchmark: 1281.2661, usercpu_time_millis: 625.343, usercpu_time_millis_testing: 47.635, usercpu_time_millis_training: 577.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 29197.3215, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1290.8022, usercpu_time_millis: 234.998, usercpu_time_millis_testing: 9.832, usercpu_time_millis_training: 225.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 28933.7488, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1292.0424, usercpu_time_millis: 425.272, usercpu_time_millis_testing: 12.453, usercpu_time_millis_training: 412.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29275.8722, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1276.2093, usercpu_time_millis: 845.819, usercpu_time_millis_testing: 7.291, usercpu_time_millis_training: 838.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29375.2541, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3789, scimark_benchmark: 1272.6553, usercpu_time_millis: 161.324, usercpu_time_millis_testing: 5.184, usercpu_time_millis_training: 156.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9573, kappa: 0.895, kb_relative_information_score: 27795.9422, mean_absolute_error: 0.0847, 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: 0.2075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.406, scimark_benchmark: 1278.6484, usercpu_time_millis: 451.056, usercpu_time_millis_testing: 24.383, usercpu_time_millis_training: 426.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9652, kappa: 0.9147, kb_relative_information_score: 29548.6283, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3632, scimark_benchmark: 1278.611, usercpu_time_millis: 183.727, usercpu_time_millis_testing: 3.709, usercpu_time_millis_training: 180.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 29323.0753, mean_absolute_error: 0.0638, 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: 0.1564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3736, scimark_benchmark: 1298.8751, usercpu_time_millis: 294.257, usercpu_time_millis_testing: 4.362, usercpu_time_millis_training: 289.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9581, kappa: 0.897, kb_relative_information_score: 28223.1764, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4005, scimark_benchmark: 1275.6588, usercpu_time_millis: 523.537, usercpu_time_millis_testing: 12.709, usercpu_time_millis_training: 510.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 28852.3993, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3774, scimark_benchmark: 1297.65, usercpu_time_millis: 831.096, usercpu_time_millis_testing: 18.892, usercpu_time_millis_training: 812.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9268, kappa: 0.8162, kb_relative_information_score: 18915.0166, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5877, scimark_benchmark: 1283.2014, usercpu_time_millis: 940.905, usercpu_time_millis_testing: 75.94, usercpu_time_millis_training: 864.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9238, kappa: 0.8124, kb_relative_information_score: 24841.5483, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9236, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5209, scimark_benchmark: 1281.8233, usercpu_time_millis: 48.711, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 44.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 28881.5288, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3698, scimark_benchmark: 1285.0473, usercpu_time_millis: 131.443, usercpu_time_millis_testing: 5.587, usercpu_time_millis_training: 125.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28574.8973, mean_absolute_error: 0.0736, 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: 0.1805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3932, scimark_benchmark: 1270.4767, usercpu_time_millis: 139.631, usercpu_time_millis_testing: 5.097, usercpu_time_millis_training: 134.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9289, kappa: 0.8216, kb_relative_information_score: 19107.4443, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9312, prior_entropy: 0.863, recall: 0.9312, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5825, scimark_benchmark: 1278.6894, usercpu_time_millis: 290.768, usercpu_time_millis_testing: 20.045, usercpu_time_millis_training: 270.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9587, kappa: 0.8984, kb_relative_information_score: 27814.6601, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4017, scimark_benchmark: 1290.029, usercpu_time_millis: 468.229, usercpu_time_millis_testing: 23.973, usercpu_time_millis_training: 444.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9572, kappa: 0.8944, kb_relative_information_score: 27194.2922, mean_absolute_error: 0.0944, 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: 0.2312, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107, scimark_benchmark: 1284.8679, usercpu_time_millis: 785.419, usercpu_time_millis_testing: 47.546, usercpu_time_millis_training: 737.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9675, kappa: 0.9201, kb_relative_information_score: 29665.0768, mean_absolute_error: 0.0602, 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: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552, scimark_benchmark: 1277.9157, usercpu_time_millis: 799.827, usercpu_time_millis_testing: 8.403, usercpu_time_millis_training: 791.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 28906.3343, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795, scimark_benchmark: 1285.6418, usercpu_time_millis: 264.696, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 259.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9315, kappa: 0.8281, kb_relative_information_score: 19343.5299, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5771, scimark_benchmark: 1292.3453, usercpu_time_millis: 317.901, usercpu_time_millis_testing: 22.933, usercpu_time_millis_training: 294.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 28441.895, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3752, scimark_benchmark: 1290.4025, usercpu_time_millis: 812.739, usercpu_time_millis_testing: 37.575, usercpu_time_millis_training: 775.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 29064.4334, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 1292.8837, usercpu_time_millis: 846.664, usercpu_time_millis_testing: 13.661, usercpu_time_millis_training: 833.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9213, kappa: 0.802, kb_relative_information_score: 18631.9428, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5963, scimark_benchmark: 1289.764, usercpu_time_millis: 51.455, usercpu_time_millis_testing: 5.003, usercpu_time_millis_training: 46.452,

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