OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9383, kappa: 0.8472, kb_relative_information_score: 25219.6847, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4779, scimark_benchmark: 1833.1413, usercpu_time_millis: 374.855, usercpu_time_millis_testing: 8.55, usercpu_time_millis_training: 366.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9604, kappa: 0.9028, kb_relative_information_score: 29060.9365, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.386, scimark_benchmark: 1844.6953, usercpu_time_millis: 3863.312, usercpu_time_millis_testing: 9.384, usercpu_time_millis_training: 3853.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8681, kappa: 0.6788, kb_relative_information_score: 17387.9134, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8692, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6813, scimark_benchmark: 2129.4571, usercpu_time_millis: 392.416, usercpu_time_millis_testing: 4.155, usercpu_time_millis_training: 388.261,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.2479, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1939.8421, usercpu_time_millis: 48.703, usercpu_time_millis_testing: 7.018, usercpu_time_millis_training: 41.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9142, kappa: 0.7839, kb_relative_information_score: 24333.3357, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9196, predictive_accuracy: 0.9173, prior_entropy: 0.863, recall: 0.9173, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5324, scimark_benchmark: 1927.306, usercpu_time_millis: 2934.404, usercpu_time_millis_testing: 8.189, usercpu_time_millis_training: 2926.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9352, kappa: 0.8394, kb_relative_information_score: 25733.6121, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841, scimark_benchmark: 1853.454, usercpu_time_millis: 2810.72, usercpu_time_millis_testing: 11.337, usercpu_time_millis_training: 2799.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9378, kappa: 0.8461, kb_relative_information_score: 26178.6409, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4698, scimark_benchmark: 1808.8269, usercpu_time_millis: 2998.352, usercpu_time_millis_testing: 12.62, usercpu_time_millis_training: 2985.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.958, kappa: 0.8969, kb_relative_information_score: 28228.4951, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4018, scimark_benchmark: 1847.8034, usercpu_time_millis: 1639.501, usercpu_time_millis_testing: 9.691, usercpu_time_millis_training: 1629.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.952, kappa: 0.8821, kb_relative_information_score: 27590.7868, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4279, scimark_benchmark: 1847.8034, usercpu_time_millis: 1469.997, usercpu_time_millis_testing: 7.09, usercpu_time_millis_training: 1462.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9619, kappa: 0.9066, kb_relative_information_score: 28998.0503, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 2020.6315, usercpu_time_millis: 1286.104, usercpu_time_millis_testing: 5.343, usercpu_time_millis_training: 1280.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9176, kappa: 0.7934, kb_relative_information_score: 24588.6698, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5263, scimark_benchmark: 1809.3271, usercpu_time_millis: 2356.196, usercpu_time_millis_testing: 6.217, usercpu_time_millis_training: 2349.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9093, kappa: 0.7752, kb_relative_information_score: 22913.5954, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9105, prior_entropy: 0.863, recall: 0.9105, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5523, scimark_benchmark: 1851.3986, usercpu_time_millis: 1217.686, usercpu_time_millis_testing: 10.61, usercpu_time_millis_training: 1207.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9189, kappa: 0.7963, kb_relative_information_score: 24412.269, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.9216, prior_entropy: 0.863, recall: 0.9216, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5145, scimark_benchmark: 1844.7668, usercpu_time_millis: 921.724, usercpu_time_millis_testing: 9.623, usercpu_time_millis_training: 912.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9171, kappa: 0.7915, kb_relative_information_score: 24416.3451, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5195, scimark_benchmark: 1853.454, usercpu_time_millis: 822.589, usercpu_time_millis_testing: 6.057, usercpu_time_millis_training: 816.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29900.8271, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.351, scimark_benchmark: 1884.2965, usercpu_time_millis: 1849.886, usercpu_time_millis_testing: 4.24, usercpu_time_millis_training: 1845.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9147, kappa: 0.7854, kb_relative_information_score: 24362.2035, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9178, prior_entropy: 0.863, recall: 0.9178, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5354, scimark_benchmark: 1857.6392, usercpu_time_millis: 616.751, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 615.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9172, kappa: 0.7917, kb_relative_information_score: 24457.1111, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.92, prior_entropy: 0.863, recall: 0.92, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5184, scimark_benchmark: 1960.3963, usercpu_time_millis: 602.001, usercpu_time_millis_testing: 5.74, usercpu_time_millis_training: 596.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9197, kappa: 0.7983, kb_relative_information_score: 24413.8923, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9238, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.5103, scimark_benchmark: 2020.1852, usercpu_time_millis: 516.701, usercpu_time_millis_testing: 4.296, usercpu_time_millis_training: 512.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28586.9855, mean_absolute_error: 0.074, 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: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1853.9849, usercpu_time_millis: 373.12, usercpu_time_millis_testing: 5.851, usercpu_time_millis_training: 367.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.953, kappa: 0.8847, kb_relative_information_score: 27652.5197, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4255, scimark_benchmark: 1846.2342, usercpu_time_millis: 324.974, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 323.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.917, kappa: 0.7915, kb_relative_information_score: 24055.6648, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5231, scimark_benchmark: 1858.2223, usercpu_time_millis: 159.571, usercpu_time_millis_testing: 2.148, usercpu_time_millis_training: 157.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9577, kappa: 0.8961, kb_relative_information_score: 28223.9804, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.401, scimark_benchmark: 1884.2965, usercpu_time_millis: 978.79, usercpu_time_millis_testing: 11.462, usercpu_time_millis_training: 967.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 29247.5768, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708, scimark_benchmark: 1803.0148, usercpu_time_millis: 905.776, usercpu_time_millis_testing: 4.545, usercpu_time_millis_training: 901.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9169, kappa: 0.7911, kb_relative_information_score: 24400.3799, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5187, scimark_benchmark: 1887.5186, usercpu_time_millis: 551.329, usercpu_time_millis_testing: 3.652, usercpu_time_millis_training: 547.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9645, kappa: 0.9127, kb_relative_information_score: 28723.143, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3726, scimark_benchmark: 1841.7343, usercpu_time_millis: 151.967, usercpu_time_millis_testing: 5.426, usercpu_time_millis_training: 146.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3209, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1805.0025, usercpu_time_millis: 52.635, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 48.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29129.7021, mean_absolute_error: 0.068, 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: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1811.316, usercpu_time_millis: 26.249, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 25.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 1.9991, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1806.8139, usercpu_time_millis: 18.519, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 17.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.939, kappa: 0.8503, kb_relative_information_score: 26531.3745, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4746, scimark_benchmark: 1849.5133, usercpu_time_millis: 3009.921, usercpu_time_millis_testing: 6.43, usercpu_time_millis_training: 3003.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.7651, kappa: 0.3959, kb_relative_information_score: 9688.5954, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8388, predictive_accuracy: 0.8031, prior_entropy: 0.863, recall: 0.8031, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7901, scimark_benchmark: 1853.1306, usercpu_time_millis: 21.29, usercpu_time_millis_testing: 1.595, usercpu_time_millis_training: 19.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.3717, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1794.9552, usercpu_time_millis: 35.293, usercpu_time_millis_testing: 5.956, usercpu_time_millis_training: 29.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 29320.0764, mean_absolute_error: 0.0639, 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: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1846.1643, usercpu_time_millis: 4778.554, usercpu_time_millis_testing: 11.711, usercpu_time_millis_training: 4766.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29300.2196, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3638, scimark_benchmark: 1841.6688, usercpu_time_millis: 2699.237, usercpu_time_millis_testing: 14.012, usercpu_time_millis_training: 2685.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9611, kappa: 0.9047, kb_relative_information_score: 28877.3747, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1851.3287, usercpu_time_millis: 2495.847, usercpu_time_millis_testing: 10.369, usercpu_time_millis_training: 2485.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9441, kappa: 0.8623, kb_relative_information_score: 26500.3072, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4563, scimark_benchmark: 1855.4813, usercpu_time_millis: 1224.323, usercpu_time_millis_testing: 13.511, usercpu_time_millis_training: 1210.812,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.905, kappa: 0.7632, kb_relative_information_score: 18775.5894, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9059, predictive_accuracy: 0.9069, prior_entropy: 0.863, recall: 0.9069, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.6035, scimark_benchmark: 1735.9375, usercpu_time_millis: 63.414, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 60.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9422, kappa: 0.8564, kb_relative_information_score: 22185.1155, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5197, scimark_benchmark: 1732.4272, usercpu_time_millis: 42.522, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 39.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.1696, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1829.8956, usercpu_time_millis: 35.694, usercpu_time_millis_testing: 4.731, usercpu_time_millis_training: 30.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8658, kappa: 0.6711, kb_relative_information_score: 16341.7868, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8658, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6853, scimark_benchmark: 1729.728, usercpu_time_millis: 25.073, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 24.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.4566, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1789.6668, usercpu_time_millis: 18.081, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 15.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.2298, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1738.0272, usercpu_time_millis: 12.81, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 12.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9603, kappa: 0.9024, kb_relative_information_score: 28668.1348, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1727.4447, usercpu_time_millis: 11.288, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 10.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9563, kappa: 0.8923, kb_relative_information_score: 27144.6765, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4166, scimark_benchmark: 1853.454, usercpu_time_millis: 580.089, usercpu_time_millis_testing: 21.312, usercpu_time_millis_training: 558.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29472.0167, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1856.0123, usercpu_time_millis: 567.171, usercpu_time_millis_testing: 7.76, usercpu_time_millis_training: 559.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9679, kappa: 0.9213, kb_relative_information_score: 29629.6182, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3499, scimark_benchmark: 1857.5664, usercpu_time_millis: 506.467, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 500.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9472, kappa: 0.87, kb_relative_information_score: 26451.7138, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4469, scimark_benchmark: 1855.5511, usercpu_time_millis: 405.442, usercpu_time_millis_testing: 8.598, usercpu_time_millis_training: 396.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29177.3634, mean_absolute_error: 0.067, 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: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644, scimark_benchmark: 1852.0126, usercpu_time_millis: 324.833, usercpu_time_millis_testing: 5.914, usercpu_time_millis_training: 318.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9553, kappa: 0.8898, kb_relative_information_score: 26736.7261, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218, scimark_benchmark: 1857.1082, usercpu_time_millis: 309.068, usercpu_time_millis_testing: 11.461, usercpu_time_millis_training: 297.607,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9562, kappa: 0.8916, kb_relative_information_score: 25513.9964, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357, scimark_benchmark: 1855.4813, usercpu_time_millis: 219.938, usercpu_time_millis_testing: 12.364, usercpu_time_millis_training: 207.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9204, kappa: 0.7996, kb_relative_information_score: 18198.2835, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.6048, scimark_benchmark: 2152.2124, usercpu_time_millis: 139.874, usercpu_time_millis_testing: 10.516, usercpu_time_millis_training: 129.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.953, kappa: 0.8842, kb_relative_information_score: 26616.8382, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4309, scimark_benchmark: 1853.3841, usercpu_time_millis: 132.981, usercpu_time_millis_testing: 5.513, usercpu_time_millis_training: 127.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9365, kappa: 0.8425, kb_relative_information_score: 25145.955, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4828, scimark_benchmark: 1853.454, usercpu_time_millis: 131.042, usercpu_time_millis_testing: 3.327, usercpu_time_millis_training: 127.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9514, kappa: 0.8803, kb_relative_information_score: 26888.0222, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4336, scimark_benchmark: 1792.045, usercpu_time_millis: 130.083, usercpu_time_millis_testing: 4.26, usercpu_time_millis_training: 125.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9581, kappa: 0.8966, kb_relative_information_score: 26737.4911, mean_absolute_error: 0.102, 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: 0.2498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4142, scimark_benchmark: 1792.045, usercpu_time_millis: 95.098, usercpu_time_millis_testing: 3.3, usercpu_time_millis_training: 91.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 28797.5234, mean_absolute_error: 0.0724, 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: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3725, scimark_benchmark: 1858.6775, usercpu_time_millis: 56.224, usercpu_time_millis_testing: 1.698, usercpu_time_millis_training: 54.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9695, kappa: 0.9252, kb_relative_information_score: 29726.905, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3422, scimark_benchmark: 1853.3841, usercpu_time_millis: 53.32, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 51.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.943, kappa: 0.8589, kb_relative_information_score: 25570.509, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629, scimark_benchmark: 1859.2084, usercpu_time_millis: 44.545, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 43.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28545.3594, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1852.9988, usercpu_time_millis: 31.443, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 30.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9471, kappa: 0.8702, kb_relative_information_score: 27573.7937, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4411, scimark_benchmark: 1371.3665, usercpu_time_millis: 16308.828, usercpu_time_millis_testing: 25.754, usercpu_time_millis_training: 16283.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9497, kappa: 0.8767, kb_relative_information_score: 27891.5628, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275, scimark_benchmark: 1368.4731, usercpu_time_millis: 12547.413, usercpu_time_millis_testing: 21.68, usercpu_time_millis_training: 12525.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 30107.1496, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449, scimark_benchmark: 1366.3515, usercpu_time_millis: 12753.061, usercpu_time_millis_testing: 32.03, usercpu_time_millis_training: 12721.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29535.6195, mean_absolute_error: 0.0623, 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: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1364.5743, usercpu_time_millis: 1924.178, usercpu_time_millis_testing: 10.36, usercpu_time_millis_training: 1913.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28928.2947, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3798, scimark_benchmark: 1375.7329, usercpu_time_millis: 4013.077, usercpu_time_millis_testing: 21.423, usercpu_time_millis_training: 3991.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9381, kappa: 0.8472, kb_relative_information_score: 26164.5314, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4748, scimark_benchmark: 1368.8423, usercpu_time_millis: 4802.587, usercpu_time_millis_testing: 10.775, usercpu_time_millis_training: 4791.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29755.6825, mean_absolute_error: 0.0585, 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: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1369.4464, usercpu_time_millis: 1168.269, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 1166.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9244, kappa: 0.8107, kb_relative_information_score: 24830.0189, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5092, scimark_benchmark: 1369.3996, usercpu_time_millis: 4570.02, usercpu_time_millis_testing: 14.654, usercpu_time_millis_training: 4555.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9485, kappa: 0.8736, kb_relative_information_score: 27460.9974, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1370.3115, usercpu_time_millis: 10246.857, usercpu_time_millis_testing: 19.977, usercpu_time_millis_training: 10226.88,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs