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: 0.9926, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 28667.9204, mean_absolute_error: 0.0734, 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: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3805, scimark_benchmark: 1365.6331, usercpu_time_millis: 1344.395, usercpu_time_millis_testing: 20.945, usercpu_time_millis_training: 1323.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 28646.1329, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1370.0525, usercpu_time_millis: 691.007, usercpu_time_millis_testing: 3.568, usercpu_time_millis_training: 687.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9611, kappa: 0.9046, kb_relative_information_score: 28756.2207, mean_absolute_error: 0.0712, 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: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1742.8774, usercpu_time_millis: 42.811, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9033, kappa: 0.7598, kb_relative_information_score: 17405.8796, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9034, predictive_accuracy: 0.9047, prior_entropy: 0.863, recall: 0.9047, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6341, scimark_benchmark: 1374.9968, usercpu_time_millis: 223.918, usercpu_time_millis_testing: 10.707, usercpu_time_millis_training: 213.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9308, kappa: 0.8264, kb_relative_information_score: 19325.1505, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5775, scimark_benchmark: 1367.8193, usercpu_time_millis: 124.158, usercpu_time_millis_testing: 6.198, usercpu_time_millis_training: 117.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9207, kappa: 0.8013, kb_relative_information_score: 21029.8064, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9238, predictive_accuracy: 0.9229, prior_entropy: 0.863, recall: 0.9229, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5571, scimark_benchmark: 1370.6744, usercpu_time_millis: 211.518, usercpu_time_millis_testing: 4.19, usercpu_time_millis_training: 207.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28372.6212, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3953, scimark_benchmark: 1370.451, usercpu_time_millis: 723.368, usercpu_time_millis_testing: 3.899, usercpu_time_millis_training: 719.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8667, kappa: 0.6747, kb_relative_information_score: 17013.834, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.863, recall: 0.8661, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6853, scimark_benchmark: 1369.3137, usercpu_time_millis: 415.783, usercpu_time_millis_testing: 3.452, usercpu_time_millis_training: 412.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29277.4938, mean_absolute_error: 0.0661, 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: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3576, scimark_benchmark: 1373.0519, usercpu_time_millis: 1248.944, usercpu_time_millis_testing: 18.785, usercpu_time_millis_training: 1230.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28533.8872, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1370.4513, usercpu_time_millis: 786.04, usercpu_time_millis_testing: 12.024, usercpu_time_millis_training: 774.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8689, kappa: 0.6814, kb_relative_information_score: 17272.6943, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6848, scimark_benchmark: 1373.2623, usercpu_time_millis: 765.182, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 762.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 27898.308, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4095, scimark_benchmark: 1374.4725, usercpu_time_millis: 695.109, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 690.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.913, kappa: 0.7834, kb_relative_information_score: 20855.4899, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9137, predictive_accuracy: 0.9146, prior_entropy: 0.863, recall: 0.9146, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5713, scimark_benchmark: 1368.6464, usercpu_time_millis: 104.065, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 102.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9261, kappa: 0.8156, kb_relative_information_score: 23513.3856, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9277, prior_entropy: 0.863, recall: 0.9277, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5132, scimark_benchmark: 1374.0776, usercpu_time_millis: 131.211, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 129.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9105, kappa: 0.7787, kb_relative_information_score: 24259.5453, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9103, predictive_accuracy: 0.9114, prior_entropy: 0.863, recall: 0.9114, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.5455, scimark_benchmark: 1368.5326, usercpu_time_millis: 6.494, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 5.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28747.0472, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 786.519, usercpu_time_millis: 2809.541, usercpu_time_millis_testing: 18.95, usercpu_time_millis_training: 2790.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9416, kappa: 0.8559, kb_relative_information_score: 26163.7659, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4696, scimark_benchmark: 785.4557, usercpu_time_millis: 2135.384, usercpu_time_millis_testing: 21.822, usercpu_time_millis_training: 2113.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8624, kappa: 0.6678, kb_relative_information_score: 17326.0517, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8656, predictive_accuracy: 0.8605, prior_entropy: 0.863, recall: 0.8605, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6913, scimark_benchmark: 1815.8377, usercpu_time_millis: 1373.221, usercpu_time_millis_testing: 8.392, usercpu_time_millis_training: 1364.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 28999.1607, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3826, scimark_benchmark: 1823.756, usercpu_time_millis: 962.47, usercpu_time_millis_testing: 3.197, usercpu_time_millis_training: 959.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9349, kappa: 0.8386, kb_relative_information_score: 25872.823, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4797, scimark_benchmark: 1811.1865, usercpu_time_millis: 842.531, usercpu_time_millis_testing: 2.717, usercpu_time_millis_training: 839.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9357, kappa: 0.8408, kb_relative_information_score: 25409.0984, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4839, scimark_benchmark: 1817.0867, usercpu_time_millis: 727.669, usercpu_time_millis_testing: 7.197, usercpu_time_millis_training: 720.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.937, kappa: 0.8438, kb_relative_information_score: 24745.5696, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4862, scimark_benchmark: 1750.3431, usercpu_time_millis: 502.418, usercpu_time_millis_testing: 15.183, usercpu_time_millis_training: 487.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9212, kappa: 0.8018, kb_relative_information_score: 18316.9094, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.6018, scimark_benchmark: 786.4247, usercpu_time_millis: 244.013, usercpu_time_millis_testing: 24.821, usercpu_time_millis_training: 219.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9293, kappa: 0.824, kb_relative_information_score: 24669.2851, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5002, scimark_benchmark: 1772.5387, usercpu_time_millis: 138.208, usercpu_time_millis_testing: 2.377, usercpu_time_millis_training: 135.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.0797, 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: 785.5981, usercpu_time_millis: 98.58, usercpu_time_millis_testing: 11.364, usercpu_time_millis_training: 87.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.7696, 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: 1732.1176, usercpu_time_millis: 43.539, usercpu_time_millis_testing: 6.164, usercpu_time_millis_training: 37.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.5462, 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: 1756.2632, usercpu_time_millis: 44.904, usercpu_time_millis_testing: 5.874, usercpu_time_millis_training: 39.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.7207, 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: 1772.0013, usercpu_time_millis: 25.493, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 23.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.3842, 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: 1819.7807, usercpu_time_millis: 18.275, usercpu_time_millis_testing: 1.856, usercpu_time_millis_training: 16.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9486, kappa: 0.8739, kb_relative_information_score: 27177.6731, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, scimark_benchmark: 1852.9259, usercpu_time_millis: 2545.198, usercpu_time_millis_testing: 9.902, usercpu_time_millis_training: 2535.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9598, kappa: 0.9013, kb_relative_information_score: 28534.8421, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3933, scimark_benchmark: 1901.7699, usercpu_time_millis: 2199.15, usercpu_time_millis_testing: 17.009, usercpu_time_millis_training: 2182.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 29058.3626, mean_absolute_error: 0.0678, 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: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3767, scimark_benchmark: 1851.3986, usercpu_time_millis: 2040.326, usercpu_time_millis_testing: 10.697, usercpu_time_millis_training: 2029.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9559, kappa: 0.8919, kb_relative_information_score: 28366.7468, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4072, scimark_benchmark: 1847.8034, usercpu_time_millis: 1765.367, usercpu_time_millis_testing: 4.679, usercpu_time_millis_training: 1760.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9339, kappa: 0.8358, kb_relative_information_score: 25297.5631, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4947, scimark_benchmark: 1853.3841, usercpu_time_millis: 1092.809, usercpu_time_millis_testing: 6.173, usercpu_time_millis_training: 1086.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9361, kappa: 0.8418, kb_relative_information_score: 25695.3793, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.483, scimark_benchmark: 1854.4951, usercpu_time_millis: 1102.883, usercpu_time_millis_testing: 5.356, usercpu_time_millis_training: 1097.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9484, kappa: 0.8734, kb_relative_information_score: 27715.9347, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4369, scimark_benchmark: 1853.5297, usercpu_time_millis: 933.294, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 931.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9552, kappa: 0.8898, kb_relative_information_score: 27854.8503, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4152, scimark_benchmark: 1857.1082, usercpu_time_millis: 888.016, usercpu_time_millis_testing: 7.871, usercpu_time_millis_training: 880.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8688, kappa: 0.6789, kb_relative_information_score: 16365.6822, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8686, prior_entropy: 0.863, recall: 0.8686, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6793, scimark_benchmark: 1907.7527, usercpu_time_millis: 222.332, usercpu_time_millis_testing: 8.641, usercpu_time_millis_training: 213.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9283, kappa: 0.8213, kb_relative_information_score: 24337.1786, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9299, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5023, scimark_benchmark: 1955.9834, usercpu_time_millis: 147.638, usercpu_time_millis_testing: 6.249, usercpu_time_millis_training: 141.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8591, kappa: 0.6534, kb_relative_information_score: 14936.133, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8597, prior_entropy: 0.863, recall: 0.8597, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7245, scimark_benchmark: 1850.2875, usercpu_time_millis: 134.622, usercpu_time_millis_testing: 6.78, usercpu_time_millis_training: 127.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9368, kappa: 0.8433, kb_relative_information_score: 25701.4789, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4835, scimark_benchmark: 1853.5297, usercpu_time_millis: 111.531, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 110.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8991, kappa: 0.7506, kb_relative_information_score: 17506.3238, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8989, predictive_accuracy: 0.9002, prior_entropy: 0.863, recall: 0.9002, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.6362, scimark_benchmark: 1858.6775, usercpu_time_millis: 93.562, usercpu_time_millis_testing: 2.517, usercpu_time_millis_training: 91.045,
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: -2.2145, 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: 1841.3675, usercpu_time_millis: 44.005, usercpu_time_millis_testing: 7.2, usercpu_time_millis_training: 36.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9576, kappa: 0.8959, kb_relative_information_score: 28305.965, mean_absolute_error: 0.0768, 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: 0.1881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1719.5435, usercpu_time_millis: 25.354, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 24.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9346, kappa: 0.8378, kb_relative_information_score: 25655.2475, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.485, scimark_benchmark: 1833.2039, usercpu_time_millis: 1587.693, usercpu_time_millis_testing: 6.798, usercpu_time_millis_training: 1580.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9348, kappa: 0.8385, kb_relative_information_score: 26034.1492, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4791, scimark_benchmark: 1831.9204, usercpu_time_millis: 1215.456, usercpu_time_millis_testing: 4.67, usercpu_time_millis_training: 1210.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 27721.7212, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4378, scimark_benchmark: 1777.804, usercpu_time_millis: 1215.567, usercpu_time_millis_testing: 3.05, usercpu_time_millis_training: 1212.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9465, kappa: 0.8687, kb_relative_information_score: 27556.5928, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427, scimark_benchmark: 1834.6797, usercpu_time_millis: 5620.447, usercpu_time_millis_testing: 11.559, usercpu_time_millis_training: 5608.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29155.4517, mean_absolute_error: 0.0671, 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: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1836.6789, usercpu_time_millis: 919.03, usercpu_time_millis_testing: 11.412, usercpu_time_millis_training: 907.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9314, kappa: 0.8295, kb_relative_information_score: 24846.9883, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4956, scimark_benchmark: 1846.8309, usercpu_time_millis: 780.876, usercpu_time_millis_testing: 11.28, usercpu_time_millis_training: 769.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9553, kappa: 0.8904, kb_relative_information_score: 28146.5669, mean_absolute_error: 0.0781, 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: 0.1914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4116, scimark_benchmark: 1867.2487, usercpu_time_millis: 804.952, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 801.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8737, kappa: 0.6915, kb_relative_information_score: 17663.6002, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8742, predictive_accuracy: 0.8732, prior_entropy: 0.863, recall: 0.8732, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.6551, scimark_benchmark: 1850.4554, usercpu_time_millis: 619.62, usercpu_time_millis_testing: 9.395, usercpu_time_millis_training: 610.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 27889.5567, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1850.8098, usercpu_time_millis: 281.613, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 280.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29337.9363, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1829.876, usercpu_time_millis: 102.577, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 101.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 27764.2841, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1838.1026, usercpu_time_millis: 121.223, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 119.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9595, kappa: 0.9007, kb_relative_information_score: 28435.3782, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3925, scimark_benchmark: 1832.1165, usercpu_time_millis: 119.63, usercpu_time_millis_testing: 2.498, usercpu_time_millis_training: 117.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8577, kappa: 0.653, kb_relative_information_score: 15504.9007, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8571, prior_entropy: 0.863, recall: 0.8571, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7391, scimark_benchmark: 1841.8034, usercpu_time_millis: 50.516, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 49.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.999, 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: 1785.0237, usercpu_time_millis: 64.72, usercpu_time_millis_testing: 4.189, usercpu_time_millis_training: 60.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.3295, 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: 1845.2509, usercpu_time_millis: 37.649, usercpu_time_millis_testing: 5.994, usercpu_time_millis_training: 31.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9504, kappa: 0.8782, kb_relative_information_score: 27255.4981, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4353, scimark_benchmark: 1798.5961, usercpu_time_millis: 1986.605, usercpu_time_millis_testing: 15.082, usercpu_time_millis_training: 1971.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29656.3629, mean_absolute_error: 0.0606, 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: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3541, scimark_benchmark: 1834.6797, usercpu_time_millis: 1893.551, usercpu_time_millis_testing: 8.647, usercpu_time_millis_training: 1884.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9216, kappa: 0.8033, kb_relative_information_score: 24605.8642, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.509, scimark_benchmark: 1845.7835, usercpu_time_millis: 1732.506, usercpu_time_millis_testing: 10.156, usercpu_time_millis_training: 1722.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9565, kappa: 0.8932, kb_relative_information_score: 28174.0627, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4091, scimark_benchmark: 1954.6887, usercpu_time_millis: 1505.781, usercpu_time_millis_testing: 4.693, usercpu_time_millis_training: 1501.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9544, kappa: 0.8881, kb_relative_information_score: 27705.7352, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4191, scimark_benchmark: 1841.2811, usercpu_time_millis: 1479.033, usercpu_time_millis_testing: 14.309, usercpu_time_millis_training: 1464.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.943, kappa: 0.8595, kb_relative_information_score: 26360.3116, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4637, scimark_benchmark: 1831.2156, usercpu_time_millis: 904.975, usercpu_time_millis_testing: 3.533, usercpu_time_millis_training: 901.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9189, kappa: 0.7968, kb_relative_information_score: 24673.3917, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.521, scimark_benchmark: 1835.2001, usercpu_time_millis: 865.891, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 863.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9546, kappa: 0.8886, kb_relative_information_score: 28059.3735, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1836.2249, usercpu_time_millis: 730.774, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 728.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9513, kappa: 0.8805, kb_relative_information_score: 27563.4968, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281, scimark_benchmark: 1838.622, usercpu_time_millis: 306.479, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 305.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9455, kappa: 0.8657, kb_relative_information_score: 26310.4965, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, scimark_benchmark: 1808.3295, usercpu_time_millis: 216.998, usercpu_time_millis_testing: 8.81, usercpu_time_millis_training: 208.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29073.4509, mean_absolute_error: 0.068, 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: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1841.8034, usercpu_time_millis: 191.805, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 189.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.933, kappa: 0.8337, kb_relative_information_score: 25227.0718, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4928, scimark_benchmark: 1838.8902, usercpu_time_millis: 109.809, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 108.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8583, kappa: 0.6515, kb_relative_information_score: 15355.6419, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.7287, scimark_benchmark: 1826.6867, usercpu_time_millis: 96.352, usercpu_time_millis_testing: 7.944, usercpu_time_millis_training: 88.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.9728, 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: 1834.8102, usercpu_time_millis: 21.846, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 20.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.2984, 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: 1802.0225, usercpu_time_millis: 24.202, usercpu_time_millis_testing: 3.783, usercpu_time_millis_training: 20.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9352, kappa: 0.8394, kb_relative_information_score: 25899.695, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4802, scimark_benchmark: 1784.3662, usercpu_time_millis: 4284.696, usercpu_time_millis_testing: 16.545, usercpu_time_millis_training: 4268.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9451, kappa: 0.865, kb_relative_information_score: 26856.2565, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, scimark_benchmark: 2003.799, usercpu_time_millis: 3333.612, usercpu_time_millis_testing: 11.017, usercpu_time_millis_training: 3322.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9151, kappa: 0.7864, kb_relative_information_score: 24451.9382, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.528, scimark_benchmark: 1849.9303, usercpu_time_millis: 3575.304, usercpu_time_millis_testing: 10.965, usercpu_time_millis_training: 3564.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9259, kappa: 0.8149, kb_relative_information_score: 24938.4249, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.511, scimark_benchmark: 2141.8526, usercpu_time_millis: 2511.669, usercpu_time_millis_testing: 8.84, usercpu_time_millis_training: 2502.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9427, kappa: 0.8588, kb_relative_information_score: 26330.4442, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4647, scimark_benchmark: 1844.3569, usercpu_time_millis: 2686.355, usercpu_time_millis_testing: 14.084, usercpu_time_millis_training: 2672.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28618.9468, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3885, scimark_benchmark: 1838.3764, usercpu_time_millis: 1423.949, usercpu_time_millis_testing: 10.727, usercpu_time_millis_training: 1413.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9227, kappa: 0.8063, kb_relative_information_score: 24697.6129, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 0.863, recall: 0.9249, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5111, scimark_benchmark: 1964.6258, usercpu_time_millis: 1381.29, usercpu_time_millis_testing: 6.861, usercpu_time_millis_training: 1374.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 27744.7439, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4194, scimark_benchmark: 1852.4707, usercpu_time_millis: 1405.552, usercpu_time_millis_testing: 12.016, usercpu_time_millis_training: 1393.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.942, kappa: 0.8568, kb_relative_information_score: 26197.3305, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4685, scimark_benchmark: 1842.4026, usercpu_time_millis: 1393.196, usercpu_time_millis_testing: 8.878, usercpu_time_millis_training: 1384.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9672, kappa: 0.9197, kb_relative_information_score: 29882.8776, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3532, scimark_benchmark: 1796.2623, usercpu_time_millis: 985.758, usercpu_time_millis_testing: 3.798, usercpu_time_millis_training: 981.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8642, kappa: 0.6637, kb_relative_information_score: 13994.1125, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8635, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.711, scimark_benchmark: 1790.8421, usercpu_time_millis: 77.876, usercpu_time_millis_testing: 3.927, usercpu_time_millis_training: 73.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8396, 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: 1788.5719, usercpu_time_millis: 44.497, usercpu_time_millis_testing: 6.373, usercpu_time_millis_training: 38.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9486, kappa: 0.8738, kb_relative_information_score: 27782.3421, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354, scimark_benchmark: 1765.3094, usercpu_time_millis: 825.124, usercpu_time_millis_testing: 1.882, usercpu_time_millis_training: 823.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29433.4687, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3665, scimark_benchmark: 1836.1651, usercpu_time_millis: 539.384, usercpu_time_millis_testing: 2.226, usercpu_time_millis_training: 537.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9511, kappa: 0.8799, kb_relative_information_score: 27268.5898, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1784.3662, usercpu_time_millis: 310.724, usercpu_time_millis_testing: 6.138, usercpu_time_millis_training: 304.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9101, kappa: 0.7765, kb_relative_information_score: 20703.9824, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9105, predictive_accuracy: 0.9115, prior_entropy: 0.863, recall: 0.9115, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5733, scimark_benchmark: 1975.795, usercpu_time_millis: 294.88, usercpu_time_millis_testing: 3.975, usercpu_time_millis_training: 290.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9417, kappa: 0.855, kb_relative_information_score: 21830.618, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5278, scimark_benchmark: 1839.2203, usercpu_time_millis: 270.624, usercpu_time_millis_testing: 16.742, usercpu_time_millis_training: 253.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8581, kappa: 0.6516, kb_relative_information_score: 15442.8184, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8584, prior_entropy: 0.863, recall: 0.8584, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7366, scimark_benchmark: 1942.9803, usercpu_time_millis: 178.543, usercpu_time_millis_testing: 6.364, usercpu_time_millis_training: 172.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9326, kappa: 0.8324, kb_relative_information_score: 25221.4372, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4972, scimark_benchmark: 1828.1994, usercpu_time_millis: 221.795, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 220.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9212, kappa: 0.8025, kb_relative_information_score: 24635.2764, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9246, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.232, root_relative_squared_error: 0.5136, scimark_benchmark: 1921.3263, usercpu_time_millis: 148.396, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 147.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9559, kappa: 0.8919, kb_relative_information_score: 28045.1526, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106, scimark_benchmark: 1846.4335, usercpu_time_millis: 124.186, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 123.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28909.5757, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 2128.7168, usercpu_time_millis: 57.359, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 56.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29770.1467, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1784.7205, usercpu_time_millis: 2043.311, usercpu_time_millis_testing: 6.795, usercpu_time_millis_training: 2036.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28979.7637, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3762, scimark_benchmark: 1836.3673, usercpu_time_millis: 1312.168, usercpu_time_millis_testing: 8.831, usercpu_time_millis_training: 1303.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29233.5235, mean_absolute_error: 0.0661, 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: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3655, scimark_benchmark: 2113.9523, usercpu_time_millis: 742.557, usercpu_time_millis_testing: 7.452, usercpu_time_millis_training: 735.105,

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