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: 0.9892, f_measure: 0.9514, kappa: 0.8802, kb_relative_information_score: 26681.3597, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334, scimark_benchmark: 1255.945, usercpu_time_millis: 1073.341, usercpu_time_millis_testing: 67.065, usercpu_time_millis_training: 1006.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28749.7251, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.381, scimark_benchmark: 1286.1441, usercpu_time_millis: 7057.048, usercpu_time_millis_testing: 76.602, usercpu_time_millis_training: 6980.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 28718.1273, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3787, scimark_benchmark: 1240.6365, usercpu_time_millis: 3689.8, usercpu_time_millis_testing: 96.623, usercpu_time_millis_training: 3593.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9335, kappa: 0.8349, kb_relative_information_score: 24728.3681, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4923, scimark_benchmark: 1240.4864, usercpu_time_millis: 547.985, usercpu_time_millis_testing: 20.804, usercpu_time_millis_training: 527.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8535, kb_relative_information_score: 26563.7936, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4641, scimark_benchmark: 1301.2681, usercpu_time_millis: 4022.417, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 4021.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29128.923, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3714, scimark_benchmark: 1272.3933, usercpu_time_millis: 12757.075, usercpu_time_millis_testing: 95.429, usercpu_time_millis_training: 12661.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9667, kappa: 0.9184, kb_relative_information_score: 29991.305, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1297.005, usercpu_time_millis: 1479.277, usercpu_time_millis_testing: 8.14, usercpu_time_millis_training: 1471.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9647, kappa: 0.9132, kb_relative_information_score: 28962.1608, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1255.8275, usercpu_time_millis: 750.434, usercpu_time_millis_testing: 16.51, usercpu_time_millis_training: 733.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 28840.5919, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3711, scimark_benchmark: 1253.3381, usercpu_time_millis: 120.209, usercpu_time_millis_testing: 4.971, usercpu_time_millis_training: 115.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9306, kappa: 0.8258, kb_relative_information_score: 19299.2716, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.578, scimark_benchmark: 1278.0816, usercpu_time_millis: 180.69, usercpu_time_millis_testing: 13.715, usercpu_time_millis_training: 166.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9507, kappa: 0.8786, kb_relative_information_score: 26772.3571, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4369, scimark_benchmark: 1260.6162, usercpu_time_millis: 473.464, usercpu_time_millis_testing: 15.569, usercpu_time_millis_training: 457.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9493, kappa: 0.875, kb_relative_information_score: 26318.2053, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1238.9569, usercpu_time_millis: 1260.136, usercpu_time_millis_testing: 39.624, usercpu_time_millis_training: 1220.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9638, kappa: 0.9108, kb_relative_information_score: 27841.875, mean_absolute_error: 0.0875, 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: 0.2145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3827, scimark_benchmark: 1281.3593, usercpu_time_millis: 561.209, usercpu_time_millis_testing: 28.822, usercpu_time_millis_training: 532.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28372.4683, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1240.7031, usercpu_time_millis: 2635.09, usercpu_time_millis_testing: 81.951, usercpu_time_millis_training: 2553.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29569.8177, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1259.5476, usercpu_time_millis: 1165.008, usercpu_time_millis_testing: 26.821, usercpu_time_millis_training: 1138.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1747.1743, usercpu_time_millis: 194.229, usercpu_time_millis_testing: 193.823, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1755.1584, usercpu_time_millis: 226.127, usercpu_time_millis_testing: 225.627, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1746.8935, usercpu_time_millis: 239.304, usercpu_time_millis_testing: 238.747, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9527, kappa: 0.8841, kb_relative_information_score: 28483.6742, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1758.4276, usercpu_time_millis: 263.818, usercpu_time_millis_testing: 263.336, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 28985.1296, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9558, prior_entropy: 0.863, recall: 0.9558, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1746.9536, usercpu_time_millis: 276.486, usercpu_time_millis_testing: 275.934, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1733.8994, usercpu_time_millis: 301.837, usercpu_time_millis_testing: 301.276, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1210.2228, usercpu_time_millis: 428.236, usercpu_time_millis_testing: 427.565, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1148.1699, usercpu_time_millis: 449.104, usercpu_time_millis_testing: 448.141, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1050.8233, usercpu_time_millis: 483.756, usercpu_time_millis_testing: 482.831, usercpu_time_millis_training: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1237.7488, usercpu_time_millis: 497.479, usercpu_time_millis_testing: 496.609, usercpu_time_millis_training: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29142.1922, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4002, scimark_benchmark: 1250.1773, usercpu_time_millis: 498.293, usercpu_time_millis_testing: 497.395, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1217.0249, usercpu_time_millis: 552.456, usercpu_time_millis_testing: 551.54, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1070.7975, usercpu_time_millis: 573.77, usercpu_time_millis_testing: 572.866, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1750.5749, usercpu_time_millis: 264.558, usercpu_time_millis_testing: 264.008, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1724.4964, usercpu_time_millis: 290.103, usercpu_time_millis_testing: 289.492, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 28714.7115, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4066, scimark_benchmark: 1715.4745, usercpu_time_millis: 331.049, usercpu_time_millis_testing: 330.477, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1201.1262, usercpu_time_millis: 406.653, usercpu_time_millis_testing: 405.954, usercpu_time_millis_training: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1441.0395, usercpu_time_millis: 448.088, usercpu_time_millis_testing: 447.134, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1203.1535, usercpu_time_millis: 466.838, usercpu_time_millis_testing: 465.904, usercpu_time_millis_training: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1434.8116, usercpu_time_millis: 485.364, usercpu_time_millis_testing: 484.476, usercpu_time_millis_training: 0.888,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 2126.1268, usercpu_time_millis: 143.429, usercpu_time_millis_testing: 143.11, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1804.8886, usercpu_time_millis: 156.086, usercpu_time_millis_testing: 155.735, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1850.8185, usercpu_time_millis: 269.814, usercpu_time_millis_testing: 269.325, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1068.6484, usercpu_time_millis: 420.946, usercpu_time_millis_testing: 420.281, usercpu_time_millis_training: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1087.127, usercpu_time_millis: 441.849, usercpu_time_millis_testing: 440.959, usercpu_time_millis_training: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1101.6131, usercpu_time_millis: 456.127, usercpu_time_millis_testing: 455.226, usercpu_time_millis_training: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1103.7949, usercpu_time_millis: 508.862, usercpu_time_millis_testing: 508.009, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1248.3732, usercpu_time_millis: 557.829, usercpu_time_millis_testing: 556.956, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9361, kappa: 0.8411, kb_relative_information_score: 21140.2646, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.524, scimark_benchmark: 1278.4166, usercpu_time_millis: 11395.563, usercpu_time_millis_testing: 20.205, usercpu_time_millis_training: 11375.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1752.8804, usercpu_time_millis: 178.886, usercpu_time_millis_testing: 178.525, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 28936.6073, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4029, scimark_benchmark: 2130.3115, usercpu_time_millis: 212.094, usercpu_time_millis_testing: 211.663, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1747.3557, usercpu_time_millis: 251.844, usercpu_time_millis_testing: 251.363, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1206.8435, usercpu_time_millis: 411.113, usercpu_time_millis_testing: 410.443, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1071.9205, usercpu_time_millis: 455.164, usercpu_time_millis_testing: 454.223, usercpu_time_millis_training: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1493.4419, usercpu_time_millis: 569.959, usercpu_time_millis_testing: 569.076, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9553, kappa: 0.8902, kb_relative_information_score: 27388.0965, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4181, scimark_benchmark: 1285.9, usercpu_time_millis: 1092.87, usercpu_time_millis_testing: 37.529, usercpu_time_millis_training: 1055.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29648.1753, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 1291.5559, usercpu_time_millis: 1097.095, usercpu_time_millis_testing: 21.687, usercpu_time_millis_training: 1075.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9474, kappa: 0.8698, kb_relative_information_score: 25001.8852, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4621, scimark_benchmark: 1308.0281, usercpu_time_millis: 1038.075, usercpu_time_millis_testing: 52.003, usercpu_time_millis_training: 986.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29549.9018, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3542, scimark_benchmark: 1260.6544, usercpu_time_millis: 5007.32, usercpu_time_millis_testing: 74.659, usercpu_time_millis_training: 4932.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9613, kappa: 0.9048, kb_relative_information_score: 28048.0664, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1291.6897, usercpu_time_millis: 1118.213, usercpu_time_millis_testing: 65.281, usercpu_time_millis_training: 1052.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9388, kappa: 0.8482, kb_relative_information_score: 24796.3904, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4809, scimark_benchmark: 1297.092, usercpu_time_millis: 922.933, usercpu_time_millis_testing: 30.324, usercpu_time_millis_training: 892.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9422, kappa: 0.8581, kb_relative_information_score: 26929.6883, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, scimark_benchmark: 1297.8749, usercpu_time_millis: 12842.47, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 12841.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 30383.7635, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3386, scimark_benchmark: 1284.6936, usercpu_time_millis: 7108.734, usercpu_time_millis_testing: 37.885, usercpu_time_millis_training: 7070.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.9198, kb_relative_information_score: 29410.9148, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3544, scimark_benchmark: 1306.3972, usercpu_time_millis: 1377.23, usercpu_time_millis_testing: 38.97, usercpu_time_millis_training: 1338.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1815.2477, usercpu_time_millis: 229.284, usercpu_time_millis_testing: 228.823, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1857.6942, usercpu_time_millis: 237.69, usercpu_time_millis_testing: 237.174, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1853.9121, usercpu_time_millis: 259.809, usercpu_time_millis_testing: 259.303, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1249.1398, usercpu_time_millis: 389.453, usercpu_time_millis_testing: 388.796, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1079.456, usercpu_time_millis: 450.186, usercpu_time_millis_testing: 449.339, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9563, kappa: 0.8927, kb_relative_information_score: 29256.3885, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1464.892, usercpu_time_millis: 477.426, usercpu_time_millis_testing: 476.511, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1084.7469, usercpu_time_millis: 506.88, usercpu_time_millis_testing: 505.987, usercpu_time_millis_training: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 2142.2861, usercpu_time_millis: 155.898, usercpu_time_millis_testing: 155.485, usercpu_time_millis_training: 0.413,

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