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: 0.9987, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1200.4095, mean_absolute_error: 0.0737, 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: 0.1491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2763, scimark_benchmark: 1803.7475, usercpu_time_millis: 5.827, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 5.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1013.7808, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4096, scimark_benchmark: 1848.1032, usercpu_time_millis: 5.745, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 5.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8603, kappa: 0.7178, kb_relative_information_score: 658.7837, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8601, prior_entropy: 0.9912, recall: 0.8601, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6699, scimark_benchmark: 1835.3457, usercpu_time_millis: 2.323, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1316.152, mean_absolute_error: 0.0213, 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: 0.043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183, scimark_benchmark: 790.4884, usercpu_time_millis: 24.061, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 23.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1002.2325, mean_absolute_error: 0.1441, 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: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5177, scimark_benchmark: 1846.623, usercpu_time_millis: 7.789, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 7.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1203.1547, mean_absolute_error: 0.0718, 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: 0.1454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.2789, scimark_benchmark: 1868.5777, usercpu_time_millis: 3.795, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9186, kappa: 0.8347, kb_relative_information_score: 839.8785, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9211, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5389, scimark_benchmark: 1832.6098, usercpu_time_millis: 4.732, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 4.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1003.3809, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5137, scimark_benchmark: 1843.6012, usercpu_time_millis: 7.422, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 6.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1260.845, mean_absolute_error: 0.0481, 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: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2129, scimark_benchmark: 1830.3328, usercpu_time_millis: 5.998, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 5.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1247.1423, mean_absolute_error: 0.0528, 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: 0.1069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419, scimark_benchmark: 1801.1785, usercpu_time_millis: 7.263, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 6.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 1199.7844, mean_absolute_error: 0.0702, 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: 0.142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3115, scimark_benchmark: 1860.2646, usercpu_time_millis: 6.759, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 6.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1294.5504, mean_absolute_error: 0.0321, 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: 0.065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2085, scimark_benchmark: 1868.1832, usercpu_time_millis: 7.373, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 6.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9093, kappa: 0.816, kb_relative_information_score: 834.992, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9101, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5536, scimark_benchmark: 1844.0458, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1018.4221, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4095, scimark_benchmark: 1872.3546, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 3.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 905.8301, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5159, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.533, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 4.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1145.7273, mean_absolute_error: 0.0977, 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: 0.1978, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3078, scimark_benchmark: 1867.1358, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1219.0684, mean_absolute_error: 0.0671, 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: 0.1359, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2402, scimark_benchmark: 1860.8554, usercpu_time_millis: 4.838, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 4.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1262.3041, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2594, scimark_benchmark: 1874.3338, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1277.4051, mean_absolute_error: 0.0403, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2066, scimark_benchmark: 1859.7394, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1277.4702, mean_absolute_error: 0.0399, 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: 0.0809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2105, scimark_benchmark: 1857.5664, usercpu_time_millis: 2.47, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1266.4792, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.1939, scimark_benchmark: 1863.3419, usercpu_time_millis: 6.047, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 5.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1259.9477, mean_absolute_error: 0.0496, 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: 0.1005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.198, scimark_benchmark: 1819.3551, usercpu_time_millis: 9.64, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 8.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 977.4155, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4435, scimark_benchmark: 1848.5381, usercpu_time_millis: 1.599, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 967.2524, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5375, scimark_benchmark: 1866.1679, usercpu_time_millis: 3.091, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1264.4383, mean_absolute_error: 0.0474, 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: 0.0959, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.198, scimark_benchmark: 1862.1704, usercpu_time_millis: 0.821, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1185.297, mean_absolute_error: 0.08, 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: 0.1621, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2859, scimark_benchmark: 1840.1004, usercpu_time_millis: 2.929, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1282.3837, mean_absolute_error: 0.0383, 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: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.099, root_relative_squared_error: 0.1991, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.273, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.036, 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: 1858.0279, usercpu_time_millis: 2.258, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1260.0113, mean_absolute_error: 0.0494, 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: 0.1001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2011, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.33, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9745, kappa: 0.9483, kb_relative_information_score: 1199.9056, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3061, scimark_benchmark: 1864.8591, usercpu_time_millis: 4.875, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1317.4474, mean_absolute_error: 0.0223, 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: 0.0451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1734, scimark_benchmark: 1866.9264, usercpu_time_millis: 7.544, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 7.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1274.3513, mean_absolute_error: 0.0422, 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: 0.0854, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2011, scimark_benchmark: 1866.1381, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1294.8192, mean_absolute_error: 0.0331, 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: 0.0669, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.183, scimark_benchmark: 1862.7829, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9481, kappa: 0.8948, kb_relative_information_score: 1109.8583, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9486, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.3973, scimark_benchmark: 1815.8366, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1161.9987, mean_absolute_error: 0.0919, 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: 0.1861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2859, scimark_benchmark: 1873.4805, usercpu_time_millis: 6.926, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 6.091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1159.1974, mean_absolute_error: 0.09, 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: 0.1823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3158, scimark_benchmark: 1843.5177, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1248.2119, mean_absolute_error: 0.0539, 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: 0.1092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2205, scimark_benchmark: 1859.7394, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1284.3416, mean_absolute_error: 0.0378, 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: 0.0766, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1909, scimark_benchmark: 1849.1812, usercpu_time_millis: 5.244, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 4.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0399, 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: 1868.6447, usercpu_time_millis: 2.082, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9701, kappa: 0.9393, kb_relative_information_score: 1165.0897, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3322, scimark_benchmark: 1865.3572, usercpu_time_millis: 5.367, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 4.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 795.5364, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.56, scimark_benchmark: 1860.1369, usercpu_time_millis: 3.56, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 3.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1020.0755, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5082, scimark_benchmark: 1854.245, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1311.1819, mean_absolute_error: 0.0244, 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: 0.0493, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2055, scimark_benchmark: 1833.0594, usercpu_time_millis: 3.909, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 3.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1317.3483, mean_absolute_error: 0.0223, 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: 0.0451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1742, scimark_benchmark: 1832.0062, usercpu_time_millis: 5, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 4.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1175.1537, mean_absolute_error: 0.0859, 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: 0.174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2793, scimark_benchmark: 1837.9648, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1232.766, mean_absolute_error: 0.0613, 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: 0.1241, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2266, scimark_benchmark: 1782.2849, usercpu_time_millis: 1.903, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1148.7275, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3167, scimark_benchmark: 1855.204, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1293.9641, mean_absolute_error: 0.0335, 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: 0.0677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1843.5177, usercpu_time_millis: 8.405, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 7.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1279.6135, mean_absolute_error: 0.0405, 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: 0.082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1780.1722, usercpu_time_millis: 0.965, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0459, 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: 790.8375, usercpu_time_millis: 2.281, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1273.7466, mean_absolute_error: 0.0426, 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: 0.0862, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2002, scimark_benchmark: 1852.1495, usercpu_time_millis: 7.259, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 6.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1300.2206, mean_absolute_error: 0.0304, 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: 0.0616, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1808, scimark_benchmark: 1784.1843, usercpu_time_millis: 8.37, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 7.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 1198.3783, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3097, scimark_benchmark: 1778.4108, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8908, kappa: 0.7782, kb_relative_information_score: 527.4766, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8979, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7196, scimark_benchmark: 1869.6888, usercpu_time_millis: 2.658, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1246.8943, mean_absolute_error: 0.0522, 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: 0.1057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2537, scimark_benchmark: 1855.5328, usercpu_time_millis: 8.565, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 7.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1223.6556, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2784, scimark_benchmark: 790.7061, usercpu_time_millis: 12.158, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 11.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 739.8042, mean_absolute_error: 0.2489, 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: 0.5039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7086, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1265.4821, mean_absolute_error: 0.0451, 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: 0.0913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224, scimark_benchmark: 1818.9591, usercpu_time_millis: 5.773, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 5.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1305.1783, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2309, scimark_benchmark: 1865.8853, usercpu_time_millis: 3.284, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 3.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9181, kappa: 0.8339, kb_relative_information_score: 1023.6281, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9188, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4948, scimark_benchmark: 1867.5457, usercpu_time_millis: 6.67, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 6.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 1010.6191, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4133, scimark_benchmark: 1831.7211, usercpu_time_millis: 4.369, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 3.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1188.4645, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.2965, scimark_benchmark: 1865.3572, usercpu_time_millis: 1.762, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1275.166, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.1868, scimark_benchmark: 1861.1843, usercpu_time_millis: 8.682, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 7.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 772.0052, mean_absolute_error: 0.2347, 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: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6603, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.832, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 1216.6815, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315, scimark_benchmark: 1850.6792, usercpu_time_millis: 10.794, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 10.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1250.9599, mean_absolute_error: 0.052, 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: 0.1052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.227, scimark_benchmark: 1859.9421, usercpu_time_millis: 5.989, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 5.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 735.0971, mean_absolute_error: 0.2494, 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: 0.5051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6889, scimark_benchmark: 1852.9397, usercpu_time_millis: 1.389, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1172.7272, mean_absolute_error: 0.0834, 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: 0.1688, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3133, scimark_benchmark: 1868.1832, usercpu_time_millis: 5.072, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 4.515,

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