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: 0.9991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1294.0279, mean_absolute_error: 0.0323, 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: 0.0654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2102, scimark_benchmark: 1808.1865, usercpu_time_millis: 1.373, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 920.1846, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9462, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.238, root_relative_squared_error: 0.479, scimark_benchmark: 1775.9135, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9664, kappa: 0.932, kb_relative_information_score: 1171.6073, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3347, scimark_benchmark: 1794.3431, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9171, kappa: 0.8317, kb_relative_information_score: 756.727, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9198, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.584, scimark_benchmark: 1776.8989, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8589, kappa: 0.7155, kb_relative_information_score: 757.1388, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8606, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6323, scimark_benchmark: 1814.5881, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1312.3641, mean_absolute_error: 0.0247, 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: 0.05, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1754, scimark_benchmark: 1769.6311, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1300.0982, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1772, scimark_benchmark: 1791.3398, usercpu_time_millis: 3.635, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 3.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1214.7559, mean_absolute_error: 0.0695, 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: 0.1407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2387, scimark_benchmark: 1776.795, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9077, kappa: 0.8126, kb_relative_information_score: 956.0385, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9094, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5304, scimark_benchmark: 1790.2245, usercpu_time_millis: 3.679, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1269.6739, mean_absolute_error: 0.0427, 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: 0.0864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2329, scimark_benchmark: 1811.0211, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9482, kappa: 0.895, kb_relative_information_score: 927.1492, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4726, scimark_benchmark: 1810.8454, usercpu_time_millis: 4.932, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 4.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9386, kappa: 0.8754, kb_relative_information_score: 906.8908, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9394, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4882, scimark_benchmark: 1762.0404, usercpu_time_millis: 5.185, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 4.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 1104.7629, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3879, scimark_benchmark: 1817.3854, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0083, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1819.4779, usercpu_time_millis: 1.996, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9774, kappa: 0.9541, kb_relative_information_score: 1205.6703, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.2892, scimark_benchmark: 1812.1075, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 4.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1010.5002, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5075, scimark_benchmark: 1773.4494, usercpu_time_millis: 6.112, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1158.9147, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3129, scimark_benchmark: 1783.1702, usercpu_time_millis: 2.784, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9533, kappa: 0.9054, kb_relative_information_score: 1091.2404, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4009, scimark_benchmark: 1739.6887, usercpu_time_millis: 6.145, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 5.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1271.1797, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2059, scimark_benchmark: 1813.527, usercpu_time_millis: 6.184, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 5.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0609, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1850.7269, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 989.1334, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4281, scimark_benchmark: 1915.3356, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9467, kappa: 0.8919, kb_relative_information_score: 1125.6705, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.947, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3844, scimark_benchmark: 1795.6265, usercpu_time_millis: 8.829, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 8.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1133.2249, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3123, scimark_benchmark: 1840.4609, usercpu_time_millis: 3.23, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.073, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1791.6648, usercpu_time_millis: 0.686, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1286.2044, mean_absolute_error: 0.037, 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: 0.0748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.094, root_relative_squared_error: 0.1891, scimark_benchmark: 1786.5697, usercpu_time_millis: 6.837, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 6.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1011.3198, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5113, scimark_benchmark: 1792.573, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1186.9124, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2636, scimark_benchmark: 1770.2086, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1196.4823, mean_absolute_error: 0.0773, 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: 0.1566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2556, scimark_benchmark: 1814.0923, usercpu_time_millis: 7.195, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 6.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1317.4825, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225, scimark_benchmark: 1777.3706, usercpu_time_millis: 10.311, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 9.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0296, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1780.8455, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1069.9208, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3974, scimark_benchmark: 1785.8024, usercpu_time_millis: 2.113, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0609, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1773.2347, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8495, kappa: 0.6965, kb_relative_information_score: 732.4945, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8514, predictive_accuracy: 0.8491, prior_entropy: 0.9912, recall: 0.8491, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6937, scimark_benchmark: 1774.7265, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1214.6622, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2373, scimark_benchmark: 1789.9157, usercpu_time_millis: 8.74, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 7.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 542.8857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7117, scimark_benchmark: 1855.2567, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.618,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.1647, mean_absolute_error: 0.4939, 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: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1780.1606, usercpu_time_millis: 2.313, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1271.5502, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2324, scimark_benchmark: 1911.5685, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1220.1221, mean_absolute_error: 0.0672, 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: 0.1361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2337, scimark_benchmark: 1812.1603, usercpu_time_millis: 4.518, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 4.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1215.6536, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.2923, scimark_benchmark: 1760.4674, usercpu_time_millis: 10.501, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 9.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8924, kappa: 0.7814, kb_relative_information_score: 606.8037, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8989, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6713, scimark_benchmark: 1849.0956, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1274.6052, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2563, scimark_benchmark: 1847.0121, usercpu_time_millis: 4.201, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 3.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0634, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1780.8556, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8596, kappa: 0.7165, kb_relative_information_score: 659.1892, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8606, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6713, scimark_benchmark: 1774.3862, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1205.2948, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.254, scimark_benchmark: 1773.2343, usercpu_time_millis: 1.466, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1280.0257, mean_absolute_error: 0.0381, 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: 0.0772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.2269, scimark_benchmark: 1782.2711, usercpu_time_millis: 9.567, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 8.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0628, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1770.6409, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9133, kappa: 0.824, kb_relative_information_score: 866.4939, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9168, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5359, scimark_benchmark: 1788.3836, usercpu_time_millis: 2.808, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0309, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1857.8677, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1263.6681, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2365, scimark_benchmark: 1792.143, usercpu_time_millis: 8.951, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 8.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9152, kappa: 0.8278, kb_relative_information_score: 999.2839, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.916, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5155, scimark_benchmark: 1786.1348, usercpu_time_millis: 4.322, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9357, kappa: 0.8694, kb_relative_information_score: 1032.6059, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9365, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.4591, scimark_benchmark: 1784.0525, usercpu_time_millis: 4.069, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9116, kappa: 0.8208, kb_relative_information_score: 932.9962, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9119, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.538, scimark_benchmark: 1742.1354, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1306.529, mean_absolute_error: 0.0278, 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: 0.0562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1714, scimark_benchmark: 1833.2313, usercpu_time_millis: 9.496, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 8.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9283, kappa: 0.8544, kb_relative_information_score: 1007.7876, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4823, scimark_benchmark: 1778.0192, usercpu_time_millis: 5.237, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 4.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 1192.0392, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9721, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3123, scimark_benchmark: 1837.6954, usercpu_time_millis: 10.678, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 9.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 1150.916, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3376, scimark_benchmark: 1775.5191, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1216.5856, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429, scimark_benchmark: 1859.4881, usercpu_time_millis: 3.138, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1296.4242, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2049, scimark_benchmark: 1835.4162, usercpu_time_millis: 12.156, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 11.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1284.9367, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.1808, scimark_benchmark: 1738.8522, usercpu_time_millis: 6.721, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 6.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: 0.0188, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1783.1905, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1296.8268, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1837, scimark_benchmark: 1788.0322, usercpu_time_millis: 9.664, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 8.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 737.0879, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7073, scimark_benchmark: 1782.7813, usercpu_time_millis: 2.917, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1208.0532, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3004, scimark_benchmark: 1787.8583, usercpu_time_millis: 11.452, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 10.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9408, kappa: 0.8799, kb_relative_information_score: 1062.5164, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9415, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4285, scimark_benchmark: 1803.4243, usercpu_time_millis: 2.487, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1149.4091, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3011, scimark_benchmark: 1823.7411, usercpu_time_millis: 3.776, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1193.6905, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2623, scimark_benchmark: 1837.1779, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3966, kb_relative_information_score: 0.0594, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1775.5759, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1238.6461, mean_absolute_error: 0.059, 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: 0.1194, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2188, scimark_benchmark: 1818.8577, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1288.3946, mean_absolute_error: 0.0348, 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: 0.0705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2128, scimark_benchmark: 1773.5604, usercpu_time_millis: 11.318, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 10.51,

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