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: 0.9965, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1202.4841, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.305, scimark_benchmark: 1862.932, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1096.4192, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3385, scimark_benchmark: 1835.0975, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1105.0201, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3648, scimark_benchmark: 1823.9526, usercpu_time_millis: 2.958, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1245.643, mean_absolute_error: 0.0548, 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: 0.111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2259, scimark_benchmark: 1874.4489, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1243.718, mean_absolute_error: 0.055, 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: 0.1114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2388, scimark_benchmark: 1866.0766, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1265.0307, mean_absolute_error: 0.0468, 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: 0.0947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2038, scimark_benchmark: 1867.0657, usercpu_time_millis: 2.285, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0672, 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: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1302.3003, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1822, scimark_benchmark: 1863.4095, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1173.2843, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3344, scimark_benchmark: 1757.5269, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.078, 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: 1869.8223, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8582, kappa: 0.7139, kb_relative_information_score: 654.9577, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8598, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6737, scimark_benchmark: 1859.1356, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0574, 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: 1775.2463, usercpu_time_millis: 0.958, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1287.9521, mean_absolute_error: 0.0366, 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: 0.0741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1835, scimark_benchmark: 1811.1627, usercpu_time_millis: 10.419, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 9.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1316.8499, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.1601, scimark_benchmark: 1809.4928, usercpu_time_millis: 7.819, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 7.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1299.5235, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1578, scimark_benchmark: 1852.1552, usercpu_time_millis: 7.848, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 7.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1085.5222, mean_absolute_error: 0.1233, 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: 0.2496, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3506, scimark_benchmark: 1811.3343, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9238, kappa: 0.8452, kb_relative_information_score: 820.9757, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9259, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.545, scimark_benchmark: 1068.2568, usercpu_time_millis: 5.992, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 5.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1323.8026, mean_absolute_error: 0.0194, 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: 0.0393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1793, scimark_benchmark: 1834.1864, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 4.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1272.6291, mean_absolute_error: 0.0424, 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: 0.0858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2142, scimark_benchmark: 1840.4506, usercpu_time_millis: 6.308, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 5.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1232.3441, mean_absolute_error: 0.0597, 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: 0.1209, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2519, scimark_benchmark: 1816.5377, usercpu_time_millis: 8.238, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 7.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1291.6588, mean_absolute_error: 0.0349, 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: 0.0707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 1836.0835, usercpu_time_millis: 6.123, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 5.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1003.5544, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4236, scimark_benchmark: 1848.2191, usercpu_time_millis: 5.852, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 5.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1315.8368, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1521, scimark_benchmark: 1863.4543, usercpu_time_millis: 6.729, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 6.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 936.5981, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653, scimark_benchmark: 1076.9451, usercpu_time_millis: 3.631, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1312.5397, mean_absolute_error: 0.0253, 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: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1664, scimark_benchmark: 1741.1157, usercpu_time_millis: 3.517, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 3.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8625, kappa: 0.7225, kb_relative_information_score: 679.3613, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8637, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1865.0235, usercpu_time_millis: 2.306, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1185.7333, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.2849, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.537, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9178, kappa: 0.8331, kb_relative_information_score: 939.8133, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.4988, scimark_benchmark: 1862.0869, usercpu_time_millis: 2.234, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1112.184, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.163, root_relative_squared_error: 0.328, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1318.4229, mean_absolute_error: 0.0219, 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: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1858.9659, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9105, kappa: 0.8183, kb_relative_information_score: 847.6238, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9131, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5445, scimark_benchmark: 1918.2099, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8582, kappa: 0.7139, kb_relative_information_score: 658.8805, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8598, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6704, scimark_benchmark: 1858.8261, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1314.0727, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.154, scimark_benchmark: 1043.1398, usercpu_time_millis: 15.475, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 14.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1314.0054, mean_absolute_error: 0.024, 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: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1727.5092, usercpu_time_millis: 8.963, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 8.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1271.4172, mean_absolute_error: 0.0448, 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: 0.0907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1478.5822, usercpu_time_millis: 9.89, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 9.04,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9592, kappa: 0.9172, kb_relative_information_score: 1145.5518, mean_absolute_error: 0.0916, 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: 0.1855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3607, scimark_benchmark: 1173.6914, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 1122.9173, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3681, scimark_benchmark: 1294.0211, usercpu_time_millis: 3.841, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 3.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1298.4237, mean_absolute_error: 0.032, 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: 0.0647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1723, scimark_benchmark: 1708.8028, usercpu_time_millis: 4.878, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 4.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1191.1453, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2562, scimark_benchmark: 1863.8246, usercpu_time_millis: 3.444, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 3.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1204.4662, mean_absolute_error: 0.0723, 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: 0.1464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2658, scimark_benchmark: 1827.4306, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 3.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1253.5556, mean_absolute_error: 0.0514, 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: 0.1041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2189, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.441, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 3.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.918, kappa: 0.8335, kb_relative_information_score: 962.6524, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9197, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5082, scimark_benchmark: 1873.5991, usercpu_time_millis: 3.103, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 731.6754, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6961, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.178, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1228.8613, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2588, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.358, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1310.1361, mean_absolute_error: 0.0265, 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: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1668, scimark_benchmark: 1915.4132, usercpu_time_millis: 2.899, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 2.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1229.0434, mean_absolute_error: 0.0621, 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: 0.1257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2424, scimark_benchmark: 1867.725, usercpu_time_millis: 2.442, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 2.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1337.5979, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1439, scimark_benchmark: 1865.4816, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0526, 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: 1870.2804, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1131.5056, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3385, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8771, kappa: 0.7519, kb_relative_information_score: 835.134, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8784, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5753, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9782, kappa: 0.9558, kb_relative_information_score: 1146.474, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9783, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3255, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1332.2612, mean_absolute_error: 0.015, 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: 0.0304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1943, scimark_benchmark: 1846.3771, usercpu_time_millis: 12.405, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 11.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8625, kappa: 0.7226, kb_relative_information_score: 754.6236, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.8622, prior_entropy: 0.9912, recall: 0.8622, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6286, scimark_benchmark: 1699.0888, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9664, kappa: 0.932, kb_relative_information_score: 1171.9781, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3365, scimark_benchmark: 1812.5998, usercpu_time_millis: 5.233, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 4.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1252.6785, mean_absolute_error: 0.0519, 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: 0.1051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2181, scimark_benchmark: 1861.9945, usercpu_time_millis: 5.793, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 5.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1199.9142, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2896, scimark_benchmark: 1873.5991, usercpu_time_millis: 3.961, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1219.3875, mean_absolute_error: 0.0663, 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: 0.1342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2509, scimark_benchmark: 1853.8404, usercpu_time_millis: 2.787, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.1082, 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: 1847.1461, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.4398, mean_absolute_error: 0.4937, 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: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1831.3509, usercpu_time_millis: 0.412, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9275, kappa: 0.8528, kb_relative_information_score: 837.5503, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9292, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5333, scimark_benchmark: 1870.7868, usercpu_time_millis: 3.289, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 2.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0258, 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: 1861.8546, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0379, 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: 1771.5226, usercpu_time_millis: 1.297, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1094.3519, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3758, scimark_benchmark: 1847.8724, usercpu_time_millis: 3.709, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 3.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1181.4609, mean_absolute_error: 0.0836, 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: 0.1693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2699, scimark_benchmark: 1739.5339, usercpu_time_millis: 8.193, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 7.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1329.0634, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.071, root_relative_squared_error: 0.1428, scimark_benchmark: 1852.1552, usercpu_time_millis: 9.749, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 8.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1195.2593, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2768, scimark_benchmark: 1733.4679, usercpu_time_millis: 4.073, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 3.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 779.5152, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5733, scimark_benchmark: 1698.6191, usercpu_time_millis: 3.395, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1308.7183, mean_absolute_error: 0.0262, 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: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1909, scimark_benchmark: 1735.639, usercpu_time_millis: 2.378, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9253, kappa: 0.8483, kb_relative_information_score: 962.9726, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9272, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4816, scimark_benchmark: 1790.6009, usercpu_time_millis: 5.297, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.785,

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