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: 0.9468, f_measure: 0.8459, kappa: 0.6925, kb_relative_information_score: 856.5044, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8564, predictive_accuracy: 0.8455, prior_entropy: 0.9912, recall: 0.8455, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6667, scimark_benchmark: 1864.8991, usercpu_time_millis: 2.515, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1316.613, mean_absolute_error: 0.022, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.183, scimark_benchmark: 1752.7282, usercpu_time_millis: 2.375, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 2.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.2555, mean_absolute_error: 0.0188, 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: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1798, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1322.502, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1794, scimark_benchmark: 1755.0788, usercpu_time_millis: 1.348, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9672, kappa: 0.9334, kb_relative_information_score: 1125.7521, mean_absolute_error: 0.0994, 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: 0.2013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3769, scimark_benchmark: 1750.7876, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 1290.9527, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.275, scimark_benchmark: 1850.8711, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9622, kappa: 0.9239, kb_relative_information_score: 1257.2284, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.9621, prior_entropy: 0.9912, recall: 0.9621, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315, scimark_benchmark: 1865.5424, usercpu_time_millis: 3.197, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1346.5772, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1016, scimark_benchmark: 1857.4746, usercpu_time_millis: 4.621, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 4.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1321.4956, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1735, scimark_benchmark: 1857.9581, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 1038.5448, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9272, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4736, scimark_benchmark: 1844.7397, usercpu_time_millis: 5.9, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 5.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8146, kappa: 0.6298, kb_relative_information_score: 630.815, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.824, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7112, scimark_benchmark: 1862.7454, usercpu_time_millis: 5.305, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 5.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8071, kappa: 0.6153, kb_relative_information_score: 651.3457, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8628, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7018, scimark_benchmark: 1852.0185, usercpu_time_millis: 5.523, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8524, kappa: 0.7054, kb_relative_information_score: 875.6779, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8625, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653, scimark_benchmark: 1850.7491, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1282.6936, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2617, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7713, kappa: 0.536, kb_relative_information_score: 398.2789, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7804, predictive_accuracy: 0.7755, prior_entropy: 0.9912, recall: 0.7755, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8503, scimark_benchmark: 1855.7579, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7214, 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: 0.01, root_relative_squared_error: 0.0201, scimark_benchmark: 1868.1707, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9613, kappa: 0.9216, kb_relative_information_score: 1072.8876, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4288, scimark_benchmark: 1873.8757, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7793, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0208, scimark_benchmark: 1877.0245, usercpu_time_millis: 1.139, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8779, kappa: 0.7522, kb_relative_information_score: 910.1444, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8785, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5854, scimark_benchmark: 1867.2503, usercpu_time_millis: 7.061, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 7.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8931, kappa: 0.7842, kb_relative_information_score: 996.0361, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8943, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5376, scimark_benchmark: 1871.1584, usercpu_time_millis: 2.376, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.6093, kappa: 0.2611, kb_relative_information_score: 176.7054, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7296, predictive_accuracy: 0.6596, prior_entropy: 0.9912, recall: 0.6596, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9419, scimark_benchmark: 1876.6882, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.2085, mean_absolute_error: 0.0205, 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: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18, scimark_benchmark: 1859.8094, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.6064, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0552, scimark_benchmark: 1850.1591, usercpu_time_millis: 3.986, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 3.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7718, kappa: 0.5373, kb_relative_information_score: 396.39, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7816, predictive_accuracy: 0.7762, prior_entropy: 0.9912, recall: 0.7762, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8506, scimark_benchmark: 1881.5246, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9657, kappa: 0.9304, kb_relative_information_score: 1137.815, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9661, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3651, scimark_benchmark: 1794.7135, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.6219, kappa: 0.2826, kb_relative_information_score: 197.9892, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7417, predictive_accuracy: 0.6691, prior_entropy: 0.9912, recall: 0.6691, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9331, scimark_benchmark: 1772.8255, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1328.2142, mean_absolute_error: 0.0186, 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: 0.0377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1456, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1326.6873, mean_absolute_error: 0.0178, 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: 0.0361, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1758, scimark_benchmark: 1867.0876, usercpu_time_millis: 0.517, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1320.1939, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1895, scimark_benchmark: 1817.64, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6756, kappa: 0.356, kb_relative_information_score: 318.4791, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7193, predictive_accuracy: 0.6961, prior_entropy: 0.9912, recall: 0.6961, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8856, scimark_benchmark: 1759.9641, usercpu_time_millis: 1.985, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7259, kappa: 0.459, kb_relative_information_score: 343.5754, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7917, predictive_accuracy: 0.7456, prior_entropy: 0.9912, recall: 0.7456, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8454, scimark_benchmark: 1740.6864, usercpu_time_millis: 5.446, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 5.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.4451, mean_absolute_error: 0.0216, 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: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1819.1808, usercpu_time_millis: 1.677, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.9014, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0134, scimark_benchmark: 1838.3323, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6418, kappa: 0.3127, kb_relative_information_score: 234.45, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7443, predictive_accuracy: 0.6815, prior_entropy: 0.9912, recall: 0.6815, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9181, scimark_benchmark: 1847.2758, usercpu_time_millis: 2.039, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8493, kappa: 0.6942, kb_relative_information_score: 720.3092, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8499, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6861, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.724,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.915, kappa: 0.8287, kb_relative_information_score: 893.101, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9175, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5822, scimark_benchmark: 1851.2713, usercpu_time_millis: 1.713, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.6427, kappa: 0.3132, kb_relative_information_score: 236.9304, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7418, predictive_accuracy: 0.6815, prior_entropy: 0.9912, recall: 0.6815, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9171, scimark_benchmark: 1874.3338, usercpu_time_millis: 1.974, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1367.7795, 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: 0.0114, root_relative_squared_error: 0.023, scimark_benchmark: 1875.4449, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1337.505, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.116, scimark_benchmark: 1775.7294, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8546, kappa: 0.71, kb_relative_information_score: 891.7218, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.645, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 1279.305, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429, scimark_benchmark: 1716.9494, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8247, kappa: 0.6489, kb_relative_information_score: 698.5429, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8717, predictive_accuracy: 0.8331, prior_entropy: 0.9912, recall: 0.8331, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6776, scimark_benchmark: 1863.1052, usercpu_time_millis: 5.597, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8478, kappa: 0.691, kb_relative_information_score: 726.4425, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8486, predictive_accuracy: 0.8484, prior_entropy: 0.9912, recall: 0.8484, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6817, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8967, kappa: 0.7913, kb_relative_information_score: 998.9599, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5348, scimark_benchmark: 1876.3041, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1320.05, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1896, scimark_benchmark: 1873.019, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8297, kappa: 0.6584, kb_relative_information_score: 698.8262, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8743, predictive_accuracy: 0.8375, prior_entropy: 0.9912, recall: 0.8375, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6767, scimark_benchmark: 1716.2254, usercpu_time_millis: 5.884, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 5.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1360.4597, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0476, scimark_benchmark: 1864.7442, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1276.0067, mean_absolute_error: 0.0364, 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: 0.0737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.2722, scimark_benchmark: 1871.8506, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.52, kappa: 0.0576, kb_relative_information_score: 66.8079, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5433, predictive_accuracy: 0.5583, prior_entropy: 0.9912, recall: 0.5583, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9808, scimark_benchmark: 1877.6841, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1359.7322, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.053, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.744, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1272.5369, mean_absolute_error: 0.0377, 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: 0.0764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8527, kappa: 0.7128, kb_relative_information_score: 912.981, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8898, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6058, scimark_benchmark: 1881.9765, usercpu_time_millis: 5.255, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 5.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.97, kappa: 0.9392, kb_relative_information_score: 1130.4912, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9711, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.364, scimark_benchmark: 1870.7431, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9702, kappa: 0.9397, kb_relative_information_score: 1263.3885, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9705, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.2827, scimark_benchmark: 1853.9436, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1298.8251, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.1988, scimark_benchmark: 1874.9168, usercpu_time_millis: 5.236, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 5.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9753, kappa: 0.95, kb_relative_information_score: 1291.1241, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9757, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2457, scimark_benchmark: 1861.5835, usercpu_time_millis: 1.708, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1324.2391, mean_absolute_error: 0.019, 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: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1735, scimark_benchmark: 1856.9289, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6677, kappa: 0.3684, kb_relative_information_score: 330.5585, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8088, predictive_accuracy: 0.7085, prior_entropy: 0.9912, recall: 0.7085, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8567, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.203, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 5.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1257.0705, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2903, scimark_benchmark: 1876.7581, usercpu_time_millis: 1.828, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1295.9951, mean_absolute_error: 0.0308, 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: 0.0623, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2187, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.4231, mean_absolute_error: 0.0195, 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: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.1855, scimark_benchmark: 1874.9865, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9448, kappa: 0.8892, kb_relative_information_score: 1210.2863, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9507, predictive_accuracy: 0.9446, prior_entropy: 0.9912, recall: 0.9446, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4015, scimark_benchmark: 1871.9676, usercpu_time_millis: 3.589, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 3.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1310.7155, mean_absolute_error: 0.0234, 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: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2091, scimark_benchmark: 1767.8311, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1349.7165, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.0955, scimark_benchmark: 1743.3608, usercpu_time_millis: 0.537, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9344, kappa: 0.8673, kb_relative_information_score: 1136.2971, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9345, predictive_accuracy: 0.9344, prior_entropy: 0.9912, recall: 0.9344, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4235, scimark_benchmark: 1865.1729, usercpu_time_millis: 2.224, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1297.0575, mean_absolute_error: 0.0304, 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: 0.0615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.217, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1300.9168, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2286, scimark_benchmark: 1749.5822, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.8364, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0154, scimark_benchmark: 1869.7037, usercpu_time_millis: 0.346, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1327.5799, mean_absolute_error: 0.0177, 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: 0.0359, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1656, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.525, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.512,

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