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: 0.9988, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1285.3935, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2159, scimark_benchmark: 1808.0977, usercpu_time_millis: 9.613, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 9.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8596, kappa: 0.7166, kb_relative_information_score: 660.8809, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8608, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6704, scimark_benchmark: 1797.8876, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1193.8294, mean_absolute_error: 0.0753, 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: 0.1525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.29, scimark_benchmark: 1805.5216, usercpu_time_millis: 3.54, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1264.0083, mean_absolute_error: 0.0449, 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: 0.091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2406, scimark_benchmark: 1809.0117, usercpu_time_millis: 5.088, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 4.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9752, kappa: 0.9498, kb_relative_information_score: 1141.6613, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3312, scimark_benchmark: 1808.1581, usercpu_time_millis: 4.554, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 3.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8575, kappa: 0.7123, kb_relative_information_score: 661.1181, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8588, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6731, scimark_benchmark: 1749.6782, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1125.8175, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3253, scimark_benchmark: 1796.3598, usercpu_time_millis: 1.639, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1238.044, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.251, scimark_benchmark: 1804.6807, usercpu_time_millis: 4.358, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 3.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1166, 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: 1740.7808, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 1024.6835, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9317, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4674, scimark_benchmark: 1795.7381, usercpu_time_millis: 4.396, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 4.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9143, kappa: 0.8259, kb_relative_information_score: 931.2373, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9162, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5283, scimark_benchmark: 1791.7788, usercpu_time_millis: 1.494, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1014.3521, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4087, scimark_benchmark: 1776.3356, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 4.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0078, 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: 1815.5248, usercpu_time_millis: 0.516, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: 0.0207, 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: 1794.7297, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 770.1115, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621, scimark_benchmark: 1793.8929, usercpu_time_millis: 2.175, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1306.531, mean_absolute_error: 0.0274, 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: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1773, scimark_benchmark: 1779.6284, usercpu_time_millis: 6.403, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 5.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1090.2363, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, scimark_benchmark: 1809.3598, usercpu_time_millis: 1.595, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9614, kappa: 0.9217, kb_relative_information_score: 1239.8891, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3335, scimark_benchmark: 1777.9521, usercpu_time_millis: 12.105, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 11.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1283.8362, mean_absolute_error: 0.0385, 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: 0.078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1825, scimark_benchmark: 1795.3199, usercpu_time_millis: 3.419, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 3.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1293.6616, mean_absolute_error: 0.0324, 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: 0.0657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2105, scimark_benchmark: 1799.638, usercpu_time_millis: 3.639, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 3.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9541, kappa: 0.9069, kb_relative_information_score: 1039.8271, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4232, scimark_benchmark: 1805.523, usercpu_time_millis: 5.199, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 4.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 1033.9667, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4267, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.348, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 2.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1127.7347, mean_absolute_error: 0.1057, 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: 0.2141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3178, scimark_benchmark: 1807.4022, usercpu_time_millis: 5.6, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 4.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8553, kappa: 0.7084, kb_relative_information_score: 616.0667, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8574, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6822, scimark_benchmark: 1810.1224, usercpu_time_millis: 2.885, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1307.1566, mean_absolute_error: 0.0274, 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: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1725, scimark_benchmark: 1797.7929, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0063, 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: 1785.5533, usercpu_time_millis: 1.968, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0438, 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: 1779.4413, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9269, kappa: 0.8517, kb_relative_information_score: 1035.3837, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9276, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.478, scimark_benchmark: 1801.805, usercpu_time_millis: 5.083, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 4.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0137, 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: 1810.3925, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0401, 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: 1776.7274, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0359, 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: 1759.5456, usercpu_time_millis: 1.384, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 730.1309, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7, scimark_benchmark: 1787.049, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1306.1069, mean_absolute_error: 0.0275, 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: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1858.1812, usercpu_time_millis: 11.255, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 10.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9555, kappa: 0.9099, kb_relative_information_score: 945.7893, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4608, scimark_benchmark: 1751.4212, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1267.3956, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2355, scimark_benchmark: 1795.6511, usercpu_time_millis: 6.234, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 5.702,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1218.0197, mean_absolute_error: 0.0658, 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: 0.1332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2607, scimark_benchmark: 1747.2193, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 1168.5404, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9699, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3284, scimark_benchmark: 1768.7176, usercpu_time_millis: 5.698, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 5.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 735.3777, mean_absolute_error: 0.2505, 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: 0.5072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7057, scimark_benchmark: 1801.6095, usercpu_time_millis: 2.807, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0163, 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: 1737.8873, usercpu_time_millis: 2.044, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1289.7109, mean_absolute_error: 0.0351, 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: 0.0712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.1906, scimark_benchmark: 1746.3471, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1155.1368, mean_absolute_error: 0.0917, 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: 0.1856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3172, scimark_benchmark: 1779.6236, usercpu_time_millis: 5.731, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1192.7975, mean_absolute_error: 0.0771, 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: 0.1561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2778, scimark_benchmark: 1755.0316, usercpu_time_millis: 3.89, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1006.9872, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5152, scimark_benchmark: 1785.508, usercpu_time_millis: 8.564, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 7.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9745, kappa: 0.9484, kb_relative_information_score: 1069.728, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3654, scimark_benchmark: 1773.7655, usercpu_time_millis: 6.424, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 5.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1203.5651, mean_absolute_error: 0.0741, 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: 0.1501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2506, scimark_benchmark: 1756.9731, usercpu_time_millis: 5.075, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 4.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1064.6235, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3693, scimark_benchmark: 1734.8748, usercpu_time_millis: 5.482, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8683, kappa: 0.734, kb_relative_information_score: 742.972, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8691, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6084, scimark_benchmark: 1764.2143, usercpu_time_millis: 3.649, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.009, 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: 1811.3305, usercpu_time_millis: 1.627, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1234.2131, mean_absolute_error: 0.0596, 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: 0.1206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2391, scimark_benchmark: 1762.7318, usercpu_time_millis: 6.141, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 5.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9686, kappa: 0.9363, kb_relative_information_score: 1183.218, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9692, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3284, scimark_benchmark: 1776.6807, usercpu_time_millis: 3.024, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1237.4297, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2187, scimark_benchmark: 1844.7654, usercpu_time_millis: 7.398, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1004.0472, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5125, scimark_benchmark: 1768.4453, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1138.9893, mean_absolute_error: 0.1015, 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: 0.2056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3058, scimark_benchmark: 1783.8036, usercpu_time_millis: 6.705, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 5.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1112.6419, mean_absolute_error: 0.1109, 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: 0.2246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.168, root_relative_squared_error: 0.338, scimark_benchmark: 1744.9756, usercpu_time_millis: 3.382, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 2.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9225, kappa: 0.8429, kb_relative_information_score: 1040.2354, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.923, predictive_accuracy: 0.9227, prior_entropy: 0.9912, recall: 0.9227, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4787, scimark_benchmark: 1774.2575, usercpu_time_millis: 4.21, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1083.3916, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3923, scimark_benchmark: 1757.6839, usercpu_time_millis: 5.62, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 5.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8747, kappa: 0.7465, kb_relative_information_score: 738.1451, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8749, predictive_accuracy: 0.8746, prior_entropy: 0.9912, recall: 0.8746, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6091, scimark_benchmark: 1746.8112, usercpu_time_millis: 1.719, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.1255, 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: 1735.5252, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9701, kappa: 0.9394, kb_relative_information_score: 1171.2849, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3325, scimark_benchmark: 1801.1939, usercpu_time_millis: 5.811, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 5.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1319.8766, mean_absolute_error: 0.0211, 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: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1737, scimark_benchmark: 1805.0993, usercpu_time_millis: 9.734, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 9.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1219.7824, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2699, scimark_benchmark: 743.3728, usercpu_time_millis: 11.494, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 10.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1248.3369, mean_absolute_error: 0.0521, 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: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2434, scimark_benchmark: 1839.534, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1223.8502, mean_absolute_error: 0.0626, 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: 0.1267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2676, scimark_benchmark: 1808.9375, usercpu_time_millis: 7.969, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 7.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9196, kappa: 0.8368, kb_relative_information_score: 1005.9588, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5101, scimark_benchmark: 1790.7487, usercpu_time_millis: 3.371, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9238, kappa: 0.8453, kb_relative_information_score: 993.8588, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9257, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.4926, scimark_benchmark: 1839.5104, usercpu_time_millis: 7.659, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 7.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.874, kappa: 0.745, kb_relative_information_score: 608.3423, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8741, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6809, scimark_benchmark: 1774.7582, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1314.8718, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2146, scimark_benchmark: 1879.6948, usercpu_time_millis: 6.962, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 6.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1313.3, mean_absolute_error: 0.0246, 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: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1799.7394, usercpu_time_millis: 6.373, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 5.752,
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,

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