Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 145872 Supervised Classification steel-plates-fault 132228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8822, kappa: 0.7341, kb_relative_information_score: 665.9259, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8993, predictive_accuracy: 0.8877, prior_entropy: 0.9313, recall: 0.8877, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7509, scimark_benchmark: 1232.8725, usercpu_time_millis: 11.071, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 10.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 1521.5604, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3384, scimark_benchmark: 1229.1325, usercpu_time_millis: 67.875, usercpu_time_millis_testing: 4.372, usercpu_time_millis_training: 63.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8422, kappa: 0.6432, kb_relative_information_score: 605.3821, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8769, predictive_accuracy: 0.8537, prior_entropy: 0.9313, recall: 0.8537, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7751, scimark_benchmark: 1236.4204, usercpu_time_millis: 8.324, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 7.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9783, kappa: 0.952, kb_relative_information_score: 1104.1284, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9313, recall: 0.9784, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5571, scimark_benchmark: 1232.449, usercpu_time_millis: 50.697, usercpu_time_millis_testing: 3.872, usercpu_time_millis_training: 46.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1270.1208, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4701, scimark_benchmark: 1241.7538, usercpu_time_millis: 49.582, usercpu_time_millis_testing: 3.368, usercpu_time_millis_training: 46.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9065, kappa: 0.7893, kb_relative_information_score: 858.0912, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9182, predictive_accuracy: 0.9098, prior_entropy: 0.9313, recall: 0.9098, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6742, scimark_benchmark: 1244.2533, usercpu_time_millis: 27.655, usercpu_time_millis_testing: 2.857, usercpu_time_millis_training: 24.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9819, kappa: 0.9599, kb_relative_information_score: 1303.3108, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.9313, recall: 0.982, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4669, scimark_benchmark: 1235.9804, usercpu_time_millis: 131.18, usercpu_time_millis_testing: 9.534, usercpu_time_millis_training: 121.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9404, kappa: 0.8669, kb_relative_information_score: 722.4163, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9427, predictive_accuracy: 0.9413, prior_entropy: 0.9313, recall: 0.9413, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7282, scimark_benchmark: 1234.6532, usercpu_time_millis: 24.063, usercpu_time_millis_testing: 1.854, usercpu_time_millis_training: 22.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 1393.2964, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4066, scimark_benchmark: 1239.5391, usercpu_time_millis: 80.638, usercpu_time_millis_testing: 4.46, usercpu_time_millis_training: 76.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9866, kappa: 0.9703, kb_relative_information_score: 1370.7235, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4274, scimark_benchmark: 1233.8081, usercpu_time_millis: 75.377, usercpu_time_millis_testing: 5.192, usercpu_time_millis_training: 70.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9731, kappa: 0.9404, kb_relative_information_score: 1001.4796, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9313, recall: 0.9732, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.6039, scimark_benchmark: 1230.2679, usercpu_time_millis: 51.465, usercpu_time_millis_testing: 3.762, usercpu_time_millis_training: 47.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9809, kappa: 0.9576, kb_relative_information_score: 1245.8565, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 0.9313, recall: 0.9809, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4954, scimark_benchmark: 1232.586, usercpu_time_millis: 149.589, usercpu_time_millis_testing: 10.173, usercpu_time_millis_training: 139.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9887, kappa: 0.975, kb_relative_information_score: 1352.6249, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9313, recall: 0.9887, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4282, scimark_benchmark: 1236.1211, usercpu_time_millis: 10.993, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 10.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9788, kappa: 0.953, kb_relative_information_score: 1242.9695, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9313, recall: 0.9789, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.237, root_relative_squared_error: 0.498, scimark_benchmark: 1231.5179, usercpu_time_millis: 57.78, usercpu_time_millis_testing: 4.596, usercpu_time_millis_training: 53.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9773, kappa: 0.9498, kb_relative_information_score: 1101.0406, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9773, predictive_accuracy: 0.9773, prior_entropy: 0.9313, recall: 0.9773, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5516, scimark_benchmark: 1233.5866, usercpu_time_millis: 48.952, usercpu_time_millis_testing: 3.319, usercpu_time_millis_training: 45.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1791.8163, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1635, scimark_benchmark: 1232.6169, usercpu_time_millis: 127.897, usercpu_time_millis_testing: 4.67, usercpu_time_millis_training: 123.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.6136, kappa: 0.1686, kb_relative_information_score: 360.8886, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7906, predictive_accuracy: 0.6996, prior_entropy: 0.9313, recall: 0.6996, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8687, scimark_benchmark: 1228.545, usercpu_time_millis: 13.76, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 12.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9875, kb_relative_information_score: 1626.3453, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.9313, recall: 0.9943, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2765, scimark_benchmark: 1230.4697, usercpu_time_millis: 103.792, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 99.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9798, kappa: 0.9554, kb_relative_information_score: 1293.7387, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9313, recall: 0.9799, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4673, scimark_benchmark: 1224.0362, usercpu_time_millis: 14.51, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 13.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.814, kappa: 0.5797, kb_relative_information_score: 560.537, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8603, predictive_accuracy: 0.8305, prior_entropy: 0.9313, recall: 0.8305, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7932, scimark_benchmark: 1244.4357, usercpu_time_millis: 10.822, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 9.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9902, kappa: 0.9784, kb_relative_information_score: 1453.4554, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3839, scimark_benchmark: 1239.2781, usercpu_time_millis: 56.39, usercpu_time_millis_testing: 3.961, usercpu_time_millis_training: 52.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5163, kb_relative_information_score: -0.0421, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1235.2799, usercpu_time_millis: 7.91, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 6.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9747, kappa: 0.9439, kb_relative_information_score: 1174.9364, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9313, recall: 0.9748, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5245, scimark_benchmark: 1222.1863, usercpu_time_millis: 43.415, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 40.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9752, kappa: 0.945, kb_relative_information_score: 1045.5341, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9754, predictive_accuracy: 0.9753, prior_entropy: 0.9313, recall: 0.9753, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5858, scimark_benchmark: 1237.1198, usercpu_time_millis: 35.93, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 33.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8702, kappa: 0.7066, kb_relative_information_score: 737.7563, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.893, predictive_accuracy: 0.8774, prior_entropy: 0.9313, recall: 0.8774, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7245, scimark_benchmark: 1238.1122, usercpu_time_millis: 61.577, usercpu_time_millis_testing: 5.008, usercpu_time_millis_training: 56.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9835, kappa: 0.9636, kb_relative_information_score: 1369.7654, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4249, scimark_benchmark: 1234.1918, usercpu_time_millis: 14.217, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 13.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9897, kappa: 0.9773, kb_relative_information_score: 1321.5119, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9313, recall: 0.9897, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4437, scimark_benchmark: 1242.2267, usercpu_time_millis: 12.075, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 11.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9757, kappa: 0.9463, kb_relative_information_score: 1062.1303, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.9313, recall: 0.9758, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5717, scimark_benchmark: 1228.1798, usercpu_time_millis: 43.157, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 40.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9783, kappa: 0.952, kb_relative_information_score: 1150.2592, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9313, recall: 0.9784, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5276, scimark_benchmark: 1225.0803, usercpu_time_millis: 38.064, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 36.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9803, kappa: 0.9565, kb_relative_information_score: 1243.372, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9805, predictive_accuracy: 0.9804, prior_entropy: 0.9313, recall: 0.9804, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4968, scimark_benchmark: 1240.7478, usercpu_time_millis: 109.51, usercpu_time_millis_testing: 7.358, usercpu_time_millis_training: 102.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9898, kb_relative_information_score: 1714.1325, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2191, scimark_benchmark: 1234.6568, usercpu_time_millis: 119.387, usercpu_time_millis_testing: 6.089, usercpu_time_millis_training: 113.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 1418.5429, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9313, recall: 0.9851, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3989, scimark_benchmark: 1248.3457, usercpu_time_millis: 75.26, usercpu_time_millis_testing: 4.728, usercpu_time_millis_training: 70.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1723.9785, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.099, root_relative_squared_error: 0.2081, scimark_benchmark: 1223.7814, usercpu_time_millis: 110.746, usercpu_time_millis_testing: 5.181, usercpu_time_millis_training: 105.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9819, kappa: 0.9601, kb_relative_information_score: 1375.1766, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9313, recall: 0.982, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4335, scimark_benchmark: 1241.0008, usercpu_time_millis: 2.918, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 2.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9736, kappa: 0.9413, kb_relative_information_score: 1155.9009, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.974, predictive_accuracy: 0.9737, prior_entropy: 0.9313, recall: 0.9737, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5387, scimark_benchmark: 1224.3982, usercpu_time_millis: 80.834, usercpu_time_millis_testing: 6.266, usercpu_time_millis_training: 74.568,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1578.8277, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3045, scimark_benchmark: 1215.6572, usercpu_time_millis: 22.363, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 21.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1712.521, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2195, scimark_benchmark: 1226.1988, usercpu_time_millis: 30.344, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 29.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1662.6053, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.249, scimark_benchmark: 1239.5455, usercpu_time_millis: 88.296, usercpu_time_millis_testing: 3.994, usercpu_time_millis_training: 84.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1759.3427, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1893, scimark_benchmark: 1236.6885, usercpu_time_millis: 65.235, usercpu_time_millis_testing: 3.149, usercpu_time_millis_training: 62.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1460.1455, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3712, scimark_benchmark: 1229.5382, usercpu_time_millis: 10.133, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 9.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9316, kappa: 0.8468, kb_relative_information_score: 858.241, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.936, predictive_accuracy: 0.933, prior_entropy: 0.9313, recall: 0.933, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6743, scimark_benchmark: 1235.9052, usercpu_time_millis: 9.74, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 8.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1678.9956, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2467, scimark_benchmark: 1230.0925, usercpu_time_millis: 9.853, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 9.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9631, kappa: 0.9179, kb_relative_information_score: 1068.4615, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.964, predictive_accuracy: 0.9634, prior_entropy: 0.9313, recall: 0.9634, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.579, scimark_benchmark: 1235.4692, usercpu_time_millis: 8.292, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 7.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9907, kappa: 0.9795, kb_relative_information_score: 1392.6874, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.9313, recall: 0.9907, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4069, scimark_benchmark: 1238.8367, usercpu_time_millis: 62.036, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 58.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9841, kb_relative_information_score: 1584.8794, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3007, scimark_benchmark: 1241.573, usercpu_time_millis: 46.819, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 44.361,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8437, kappa: 0.6465, kb_relative_information_score: 654.8167, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8765, predictive_accuracy: 0.8547, prior_entropy: 0.9313, recall: 0.8547, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7592, scimark_benchmark: 1230.1938, usercpu_time_millis: 37.942, usercpu_time_millis_testing: 3.799, usercpu_time_millis_training: 34.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.6804, kappa: 0.2954, kb_relative_information_score: 441.5493, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7993, predictive_accuracy: 0.7362, prior_entropy: 0.9313, recall: 0.7362, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8366, scimark_benchmark: 1232.8602, usercpu_time_millis: 20.386, usercpu_time_millis_testing: 1.774, usercpu_time_millis_training: 18.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9028, kappa: 0.7816, kb_relative_information_score: 651.8996, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9105, predictive_accuracy: 0.9057, prior_entropy: 0.9313, recall: 0.9057, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7569, scimark_benchmark: 1235.9462, usercpu_time_millis: 30.521, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 28.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9369, kb_relative_information_score: 1185.2105, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5234, scimark_benchmark: 1217.0194, usercpu_time_millis: 28.718, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 26.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.828, kappa: 0.611, kb_relative_information_score: 571.5957, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8621, predictive_accuracy: 0.8408, prior_entropy: 0.9313, recall: 0.8408, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7879, scimark_benchmark: 1234.2991, usercpu_time_millis: 26, usercpu_time_millis_testing: 2.231, usercpu_time_millis_training: 23.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9818, kb_relative_information_score: 1518.7338, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9313, recall: 0.9918, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3397, scimark_benchmark: 1233.1851, usercpu_time_millis: 15.246, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 14.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9912, kappa: 0.9806, kb_relative_information_score: 1444.0032, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9313, recall: 0.9912, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3797, scimark_benchmark: 1224.5459, usercpu_time_millis: 56.633, usercpu_time_millis_testing: 2.923, usercpu_time_millis_training: 53.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9778, kappa: 0.9509, kb_relative_information_score: 1099.955, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9313, recall: 0.9778, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5522, scimark_benchmark: 1230.825, usercpu_time_millis: 47.044, usercpu_time_millis_testing: 3.28, usercpu_time_millis_training: 43.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1602.1309, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2916, scimark_benchmark: 1211.9934, usercpu_time_millis: 35.078, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 33.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8486, kappa: 0.6576, kb_relative_information_score: 664.7322, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8794, predictive_accuracy: 0.8588, prior_entropy: 0.9313, recall: 0.8588, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7547, scimark_benchmark: 1229.3734, usercpu_time_millis: 34.47, usercpu_time_millis_testing: 3.438, usercpu_time_millis_training: 31.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9804, kappa: 0.9567, kb_relative_information_score: 1358.3425, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 0.9313, recall: 0.9804, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4331, scimark_benchmark: 1225.9628, usercpu_time_millis: 33.982, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 31.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8959, kappa: 0.7653, kb_relative_information_score: 850.2971, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9094, predictive_accuracy: 0.9001, prior_entropy: 0.9313, recall: 0.9001, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6777, scimark_benchmark: 1230.5234, usercpu_time_millis: 15.367, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 13.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1794.9653, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1616, scimark_benchmark: 1229.0084, usercpu_time_millis: 140.517, usercpu_time_millis_testing: 5.091, usercpu_time_millis_training: 135.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9866, kappa: 0.9703, kb_relative_information_score: 1416.2496, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4014, scimark_benchmark: 1239.2023, usercpu_time_millis: 67.534, usercpu_time_millis_testing: 4.722, usercpu_time_millis_training: 62.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 1673.2907, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9313, recall: 0.9938, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2632, scimark_benchmark: 1251.3758, usercpu_time_millis: 2.95, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 2.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7535, kappa: 0.4471, kb_relative_information_score: 445.6091, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8294, predictive_accuracy: 0.7846, prior_entropy: 0.9313, recall: 0.7846, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8373, scimark_benchmark: 1216.382, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9528, kappa: 0.8952, kb_relative_information_score: 781.5503, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9532, predictive_accuracy: 0.9531, prior_entropy: 0.9313, recall: 0.9531, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7026, scimark_benchmark: 1232.4972, usercpu_time_millis: 36.732, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 33.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8929, kappa: 0.7584, kb_relative_information_score: 803.3706, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.908, predictive_accuracy: 0.8975, prior_entropy: 0.9313, recall: 0.8975, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6971, scimark_benchmark: 1243.6606, usercpu_time_millis: 22.243, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 20.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9103, kappa: 0.7981, kb_relative_information_score: 757.1198, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9214, predictive_accuracy: 0.9134, prior_entropy: 0.9313, recall: 0.9134, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 1217.6416, usercpu_time_millis: 44.811, usercpu_time_millis_testing: 4.51, usercpu_time_millis_training: 40.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1578.4539, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3074, scimark_benchmark: 1233.4844, usercpu_time_millis: 17.937, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 16.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9798, kappa: 0.9553, kb_relative_information_score: 1208.5322, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.98, predictive_accuracy: 0.9799, prior_entropy: 0.9313, recall: 0.9799, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5127, scimark_benchmark: 1240.5941, usercpu_time_millis: 40.452, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 37.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9359, kappa: 0.8565, kb_relative_information_score: 797.3578, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.94, predictive_accuracy: 0.9371, prior_entropy: 0.9313, recall: 0.9371, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6953, scimark_benchmark: 1233.5308, usercpu_time_millis: 14.411, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 13.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9829, kb_relative_information_score: 1620.5598, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9313, recall: 0.9923, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2909, scimark_benchmark: 1241.4985, usercpu_time_millis: 4.211, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 3.987,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs