OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1253.8238, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.98, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2379, scimark_benchmark: 1862.82, usercpu_time_millis: 6.025, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1321.6861, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1777, scimark_benchmark: 1864.8991, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1114.4242, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3189, scimark_benchmark: 1747.6591, usercpu_time_millis: 3.28, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1227.8965, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2456, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.602, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 6.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1021.4906, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.3921, scimark_benchmark: 1860.6133, usercpu_time_millis: 5.519, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 1048.4891, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4008, scimark_benchmark: 1850.506, usercpu_time_millis: 7.443, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1296.3422, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.1987, scimark_benchmark: 1866.4359, usercpu_time_millis: 7.152, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1325.315, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1751, scimark_benchmark: 1765.5014, usercpu_time_millis: 5.55, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1187.9255, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2743, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.165, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 988.762, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4061, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.303, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 4.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1185.3095, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2941, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.7993, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1708, scimark_benchmark: 1861.2703, usercpu_time_millis: 7.178, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1329.9715, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1725, scimark_benchmark: 1854.9753, usercpu_time_millis: 7.58, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1051.2814, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.969, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3733, scimark_benchmark: 1882.6259, usercpu_time_millis: 6.807, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1333.6667, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1702, scimark_benchmark: 1876.19, usercpu_time_millis: 7.51, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9686, kappa: 0.9365, kb_relative_information_score: 1120.7071, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.351, scimark_benchmark: 1880.137, usercpu_time_millis: 5.357, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 5.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1227.5857, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2474, scimark_benchmark: 1865.4271, usercpu_time_millis: 2.839, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1334.3056, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1704, scimark_benchmark: 1862.0333, usercpu_time_millis: 4.541, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 4.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1335.5168, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1714, scimark_benchmark: 1867.0876, usercpu_time_millis: 8.837, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1016.0724, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.424, scimark_benchmark: 1869.6309, usercpu_time_millis: 17.133, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 17.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1260.8661, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.23, scimark_benchmark: 1868.4806, usercpu_time_millis: 7.568, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1859.7394, usercpu_time_millis: 4.869, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8756, kappa: 0.7472, kb_relative_information_score: 629.4398, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8807, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6713, scimark_benchmark: 1765.379, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9686, kappa: 0.9365, kb_relative_information_score: 1127.4678, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3446, scimark_benchmark: 1880.5013, usercpu_time_millis: 1.717, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8759, kappa: 0.748, kb_relative_information_score: 626.3229, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8788, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.672, scimark_benchmark: 1757.3793, usercpu_time_millis: 6.546, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1335.2461, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1711, scimark_benchmark: 1872.9496, usercpu_time_millis: 7.476, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 7.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8688, kappa: 0.7336, kb_relative_information_score: 547.9129, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8745, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1847.6467, usercpu_time_millis: 3.673, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 3.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1312.3206, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1865, scimark_benchmark: 1864.8321, usercpu_time_millis: 7.748, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1772.1768, usercpu_time_millis: 4.896, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1251.6475, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2397, scimark_benchmark: 1872.9496, usercpu_time_millis: 7.854, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 7.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 1095.5567, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3317, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.942, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1185.9785, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2736, scimark_benchmark: 1865.4271, usercpu_time_millis: 6.828, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1872.4881, usercpu_time_millis: 9.132, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 9.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1263.6486, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2216, scimark_benchmark: 1857.4815, usercpu_time_millis: 4.59, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1138.0935, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3043, scimark_benchmark: 2157.328, usercpu_time_millis: 3.287, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 3.284,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1207.0733, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2985, scimark_benchmark: 1861.7123, usercpu_time_millis: 14.356, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 14.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9752, kappa: 0.95, kb_relative_information_score: 1266.1263, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9755, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2713, scimark_benchmark: 1869.6309, usercpu_time_millis: 13.615, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 13.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1327.9908, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1728, scimark_benchmark: 1747.0922, usercpu_time_millis: 5.469, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 5.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8747, kappa: 0.7466, kb_relative_information_score: 660.0772, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8749, predictive_accuracy: 0.8746, prior_entropy: 0.9912, recall: 0.8746, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.66, scimark_benchmark: 1869.1029, usercpu_time_millis: 10.432, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 10.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1336.131, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.1716, scimark_benchmark: 1855.507, usercpu_time_millis: 3.675, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 3.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 870.27, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4907, scimark_benchmark: 1877.2162, usercpu_time_millis: 5.237, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9356, kappa: 0.8692, kb_relative_information_score: 878.1493, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9372, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5105, scimark_benchmark: 1876.1631, usercpu_time_millis: 3.991, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9439, kappa: 0.8863, kb_relative_information_score: 1105.1217, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4085, scimark_benchmark: 1877.8474, usercpu_time_millis: 13.806, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 13.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1253.3393, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2302, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.95, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1237.4833, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9764, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2496, scimark_benchmark: 1854.0059, usercpu_time_millis: 2.092, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 1243.8756, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9815, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2387, scimark_benchmark: 1874.5188, usercpu_time_millis: 4.598, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 4.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9709, kappa: 0.9412, kb_relative_information_score: 1036.5533, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3808, scimark_benchmark: 1749.5822, usercpu_time_millis: 6.857, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8308, kappa: 0.6577, kb_relative_information_score: 27.2056, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8502, predictive_accuracy: 0.8353, prior_entropy: 0.9912, recall: 0.8353, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9801, scimark_benchmark: 2169.952, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.876, kappa: 0.7482, kb_relative_information_score: 648.9425, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8783, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6606, scimark_benchmark: 1863.9543, usercpu_time_millis: 7, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1317.1601, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1891.8453, usercpu_time_millis: 6.491, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.7995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1706, scimark_benchmark: 1870.9768, usercpu_time_millis: 7.401, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1367.9232, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0065, root_relative_squared_error: 0.0132, scimark_benchmark: 1751.2961, usercpu_time_millis: 0.455, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.9797, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1739, scimark_benchmark: 1851.4817, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7433, kappa: 0.4806, kb_relative_information_score: 517.189, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7573, predictive_accuracy: 0.75, prior_entropy: 0.9912, recall: 0.75, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7963, scimark_benchmark: 1877.6841, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.6325, kappa: 0.303, kb_relative_information_score: 218.4124, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7596, predictive_accuracy: 0.6786, prior_entropy: 0.9912, recall: 0.6786, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9246, scimark_benchmark: 1875.3104, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8911, kappa: 0.7791, kb_relative_information_score: 959.71, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8916, predictive_accuracy: 0.8914, prior_entropy: 0.9912, recall: 0.8914, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5536, scimark_benchmark: 1857.6075, usercpu_time_millis: 5.635, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 5.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9715, kappa: 0.9421, kb_relative_information_score: 1146.0133, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9725, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3486, scimark_benchmark: 1877.6143, usercpu_time_millis: 0.683, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.6234, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0122, root_relative_squared_error: 0.0246, scimark_benchmark: 1875.0498, usercpu_time_millis: 0.882, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1358.5008, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0568, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.6136, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1765, scimark_benchmark: 1872.4216, usercpu_time_millis: 0.507, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1318.662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1316.783, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.183, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.6886, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1836, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1274.6179, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.274, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1306.8637, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.1969, scimark_benchmark: 1877.7472, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7111, kappa: 0.4186, kb_relative_information_score: 422.9809, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7343, predictive_accuracy: 0.7223, prior_entropy: 0.9912, recall: 0.7223, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8399, scimark_benchmark: 1878.1423, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9788, kappa: 0.957, kb_relative_information_score: 1192.0228, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3049, scimark_benchmark: 1851.601, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.624, kappa: 0.286, kb_relative_information_score: 200.8605, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7428, predictive_accuracy: 0.6706, prior_entropy: 0.9912, recall: 0.6706, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9321, scimark_benchmark: 1853.3223, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.7677, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1729, scimark_benchmark: 1753.1858, usercpu_time_millis: 0.644, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.627,

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