Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0098, 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: 1906.3481, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1259.0025, mean_absolute_error: 0.0487, 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: 0.0986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.2172, scimark_benchmark: 1753.7527, usercpu_time_millis: 4.96, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 4.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 1099.9522, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3925, scimark_benchmark: 1862.9503, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1286.6092, mean_absolute_error: 0.0366, 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: 0.0741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.095, root_relative_squared_error: 0.1913, scimark_benchmark: 1875.9758, usercpu_time_millis: 4.692, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 4.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1312.6627, mean_absolute_error: 0.0245, 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: 0.0496, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.176, scimark_benchmark: 1786.7201, usercpu_time_millis: 7.395, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1105.757, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3413, scimark_benchmark: 1741.4974, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1279.7949, mean_absolute_error: 0.0385, 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: 0.0779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2229, scimark_benchmark: 1745.5953, usercpu_time_millis: 9.64, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 9.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9232, kappa: 0.8441, kb_relative_information_score: 1033.8717, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9243, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4801, scimark_benchmark: 1747.6065, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1163.6738, mean_absolute_error: 0.0909, 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: 0.184, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.287, scimark_benchmark: 1745.9025, usercpu_time_millis: 6.416, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9759, kappa: 0.9513, kb_relative_information_score: 1159.209, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3265, scimark_benchmark: 1940.1273, usercpu_time_millis: 2.289, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1271.9346, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2323, scimark_benchmark: 1852.5429, usercpu_time_millis: 4.065, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 3.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.926, kappa: 0.8498, kb_relative_information_score: 959.9432, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4819, scimark_benchmark: 1765.9838, usercpu_time_millis: 3.874, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1058.136, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3769, scimark_benchmark: 1745.8242, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0042, 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: 1762.1736, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9511, kappa: 0.9008, kb_relative_information_score: 966.8852, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4472, scimark_benchmark: 1737.6201, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1314.7986, mean_absolute_error: 0.0239, 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: 0.0483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.083, root_relative_squared_error: 0.1671, scimark_benchmark: 1930.6993, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1266.4893, mean_absolute_error: 0.0439, 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: 0.0889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2356, scimark_benchmark: 1764.5717, usercpu_time_millis: 3.1, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 2.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1247.5187, mean_absolute_error: 0.0529, 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: 0.107, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2392, scimark_benchmark: 1750.0786, usercpu_time_millis: 6.697, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 6.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1277.8929, mean_absolute_error: 0.0414, 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: 0.0839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1849, scimark_benchmark: 1718.5736, usercpu_time_millis: 5.966, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 5.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1418, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1916.6721, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9152, kappa: 0.8279, kb_relative_information_score: 1005.6847, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9159, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5099, scimark_benchmark: 1783.9382, usercpu_time_millis: 4.678, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 4.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1250.7924, mean_absolute_error: 0.0507, 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: 0.1028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2461, scimark_benchmark: 1777.7151, usercpu_time_millis: 5.387, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 5.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1196.3632, mean_absolute_error: 0.077, 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: 0.1559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2589, scimark_benchmark: 1791.2361, usercpu_time_millis: 4.72, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 4.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9166, kappa: 0.8309, kb_relative_information_score: 1005.2676, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9174, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5102, scimark_benchmark: 1865.3572, usercpu_time_millis: 1.927, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1296.2323, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2074, scimark_benchmark: 1855.2567, usercpu_time_millis: 1.274, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1168.572, mean_absolute_error: 0.0851, 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: 0.1723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3163, scimark_benchmark: 1746.0547, usercpu_time_millis: 6.422, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 5.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1278.0673, mean_absolute_error: 0.0407, 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: 0.0825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1945, scimark_benchmark: 1747.0841, usercpu_time_millis: 6.76, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 6.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9268, kappa: 0.8515, kb_relative_information_score: 1004.8822, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.928, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4791, scimark_benchmark: 1785.8171, usercpu_time_millis: 3.433, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9089, kappa: 0.8151, kb_relative_information_score: 808.5116, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9124, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5649, scimark_benchmark: 1782.3751, usercpu_time_millis: 3.894, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 3.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1206.7903, mean_absolute_error: 0.069, 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: 0.1397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.2866, scimark_benchmark: 1743.5462, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1222.0695, mean_absolute_error: 0.0637, 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: 0.1289, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2637, scimark_benchmark: 1749.5222, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1204.8359, mean_absolute_error: 0.0721, 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: 0.1459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.267, scimark_benchmark: 1936.7334, usercpu_time_millis: 3.161, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1002.5857, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4182, scimark_benchmark: 1866.9963, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1182.2137, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2881, scimark_benchmark: 1743.1611, usercpu_time_millis: 5.43, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 4.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9774, kappa: 0.9542, kb_relative_information_score: 1191.168, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3117, scimark_benchmark: 1760.711, usercpu_time_millis: 4.367, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 4.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1269.6864, mean_absolute_error: 0.0443, 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: 0.0898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1760.0502, usercpu_time_millis: 5.059, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 4.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9131, kappa: 0.8237, kb_relative_information_score: 1007.1688, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9135, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5284, scimark_benchmark: 1867.3423, usercpu_time_millis: 1.611, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0767, 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: 1725.9749, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1282.301, mean_absolute_error: 0.0389, 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: 0.0789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1894, scimark_benchmark: 1751.7934, usercpu_time_millis: 4.758, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 4.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1280.8782, mean_absolute_error: 0.0386, 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: 0.0781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2051, scimark_benchmark: 1740.2373, usercpu_time_millis: 3.026, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 2.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9166, kappa: 0.8309, kb_relative_information_score: 1005.7309, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9174, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5093, scimark_benchmark: 1758.9555, usercpu_time_millis: 3.625, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 3.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1228.0653, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.25, scimark_benchmark: 1872.8797, usercpu_time_millis: 4.797, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 4.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0281, 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: 1752.8738, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1147.2513, mean_absolute_error: 0.098, 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: 0.1984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.2995, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.341, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 3.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 737.0175, mean_absolute_error: 0.2485, 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: 0.5032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866, scimark_benchmark: 1744.4527, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1250.1346, mean_absolute_error: 0.054, 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: 0.1094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2066, scimark_benchmark: 1871.2001, usercpu_time_millis: 5.554, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 4.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9744, kappa: 0.9482, kb_relative_information_score: 1185.6671, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9748, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3088, scimark_benchmark: 2060.4866, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 984.1808, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4332, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.761, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9371, kappa: 0.8725, kb_relative_information_score: 856.6574, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9379, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5192, scimark_benchmark: 1750.7876, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.884, kappa: 0.7645, kb_relative_information_score: 436.8216, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8922, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7679, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.044, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1308.8602, mean_absolute_error: 0.0256, 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: 0.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2036, scimark_benchmark: 1877.9677, usercpu_time_millis: 11.261, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 10.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1293.8393, mean_absolute_error: 0.0329, 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: 0.0667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.1928, scimark_benchmark: 1868.6447, usercpu_time_millis: 3.753, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 1114.3539, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3922, scimark_benchmark: 1736.1015, usercpu_time_millis: 3.933, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8625, kappa: 0.7226, kb_relative_information_score: 744.2092, mean_absolute_error: 0.2512, 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: 0.5085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6091, scimark_benchmark: 1760.9156, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1314.849, mean_absolute_error: 0.0239, 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: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.1654, scimark_benchmark: 1959.3495, usercpu_time_millis: 9.36, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 8.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8855, kappa: 0.7675, kb_relative_information_score: 437.0091, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8937, predictive_accuracy: 0.887, prior_entropy: 0.9912, recall: 0.887, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7677, scimark_benchmark: 1752.3811, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1306.5064, mean_absolute_error: 0.0275, 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: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1761, scimark_benchmark: 1717.7454, usercpu_time_millis: 9.595, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 8.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9811, kappa: 0.9616, kb_relative_information_score: 1161.4999, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3133, scimark_benchmark: 1875.4743, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.973, kappa: 0.9452, kb_relative_information_score: 1197.5917, mean_absolute_error: 0.0712, 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: 0.1441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3126, scimark_benchmark: 1872.7016, usercpu_time_millis: 2.947, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1260.0895, mean_absolute_error: 0.0494, 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: 0.1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2005, scimark_benchmark: 1742.555, usercpu_time_millis: 9.199, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 8.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9679, kappa: 0.9351, kb_relative_information_score: 1031.9734, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961, scimark_benchmark: 1740.0018, usercpu_time_millis: 2.562, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1292.5188, mean_absolute_error: 0.0337, 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: 0.0682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.191, scimark_benchmark: 1875.9758, usercpu_time_millis: 5.186, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 4.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1214.5441, mean_absolute_error: 0.0694, 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: 0.1406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2405, scimark_benchmark: 1834.0562, usercpu_time_millis: 8.538, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 7.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 933.7689, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4996, scimark_benchmark: 1862.1704, usercpu_time_millis: 3.074, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9628, kappa: 0.9245, kb_relative_information_score: 1102.2219, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3694, scimark_benchmark: 1743.823, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1206.1453, mean_absolute_error: 0.069, 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: 0.1398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2918, scimark_benchmark: 1966.8424, usercpu_time_millis: 4.517, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 4.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1197.1475, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3055, scimark_benchmark: 1753.4826, usercpu_time_millis: 6.797, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 6.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.2842, 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: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1728.7669, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.04, 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: 1739.3689, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 0.902,

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