OpenML
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.5943, kb_relative_information_score: 40.7482, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9352, scimark_benchmark: 1839.5885, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.6637, kappa: 0.1364, kb_relative_information_score: 55.0927, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6607, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9289, scimark_benchmark: 1870.3532, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.6534, kappa: 0.1102, kb_relative_information_score: 56.0403, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6466, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9264, scimark_benchmark: 1857.269, usercpu_time_millis: 2.42, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6297, kappa: 0.0623, kb_relative_information_score: 53.3987, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6595, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9315, scimark_benchmark: 1844.7681, usercpu_time_millis: 1.315, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.5943, kb_relative_information_score: 40.7268, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9358, scimark_benchmark: 1842.598, usercpu_time_millis: 0.923, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.5943, kb_relative_information_score: 40.851, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.934, scimark_benchmark: 1838.1041, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5943, kb_relative_information_score: -0.0692, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1842.6679, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.5943, kb_relative_information_score: -0.1396, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6797, kappa: 0.1813, kb_relative_information_score: 57.5422, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6744, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9414, scimark_benchmark: 1856.3619, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6626, kappa: 0.1418, kb_relative_information_score: 59.523, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9412, scimark_benchmark: 1865.0384, usercpu_time_millis: 1.618, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5943, kb_relative_information_score: 0.1489, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001, scimark_benchmark: 1856.2927, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6746, kappa: 0.1805, kb_relative_information_score: 66.3111, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6672, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9482, scimark_benchmark: 1081.8698, usercpu_time_millis: 8.308, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 7.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6792, kappa: 0.1856, kb_relative_information_score: 68.7963, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9304, scimark_benchmark: 1797.216, usercpu_time_millis: 10.892, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 10.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.6809, kappa: 0.1885, kb_relative_information_score: 67.2056, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6739, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9309, scimark_benchmark: 1864.5832, usercpu_time_millis: 8.529, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 7.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5943, kb_relative_information_score: -0.2263, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1110.4114, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6724, kappa: 0.1617, kb_relative_information_score: 61.3439, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9259, scimark_benchmark: 1869.2422, usercpu_time_millis: 5.329, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 4.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6662, kappa: 0.1455, kb_relative_information_score: 67.2225, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6591, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9225, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.56, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 4.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6727, kappa: 0.161, kb_relative_information_score: 62.7401, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6682, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9199, scimark_benchmark: 1846.5018, usercpu_time_millis: 5.523, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 4.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6593, kappa: 0.1245, kb_relative_information_score: 52.8817, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.659, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 1790.0425, usercpu_time_millis: 3.2, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6465, kappa: 0.0917, kb_relative_information_score: 59.374, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6396, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.926, scimark_benchmark: 1800.6435, usercpu_time_millis: 2.081, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6722, kappa: 0.1579, kb_relative_information_score: 60.998, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6802, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9205, scimark_benchmark: 1786.0692, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6638, kappa: 0.1384, kb_relative_information_score: 58.5177, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.657, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.0806, scimark_benchmark: 1791.6627, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.645, kappa: 0.0883, kb_relative_information_score: 57.017, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6429, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.93, scimark_benchmark: 1864.0522, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6111, kappa: 0.0318, kb_relative_information_score: 50.7709, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6915, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9295, scimark_benchmark: 1866.5348, usercpu_time_millis: 0.861, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5943, kb_relative_information_score: 0.1386, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1798.5314, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 49.7601, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9273, scimark_benchmark: 1859.4448, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.5943, kb_relative_information_score: 33.3166, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9427, scimark_benchmark: 1800.3365, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6784, kappa: 0.1781, kb_relative_information_score: 70.1156, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6726, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9323, scimark_benchmark: 1849.2551, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.6528, kappa: 0.1101, kb_relative_information_score: 57.1567, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9282, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6406, kappa: 0.0843, kb_relative_information_score: 55.5502, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6624, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9267, scimark_benchmark: 1869.2422, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.5943, kb_relative_information_score: 46.2834, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9392, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6664, kappa: 0.1441, kb_relative_information_score: 54.2252, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6616, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9274, scimark_benchmark: 1732.9961, usercpu_time_millis: 3.584, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6772, kappa: 0.1931, kb_relative_information_score: 65.6641, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6713, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9719, scimark_benchmark: 1725.3223, usercpu_time_millis: 5.651, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 5.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6649, kappa: 0.1425, kb_relative_information_score: 56.9479, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6574, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9396, scimark_benchmark: 1737.7865, usercpu_time_millis: 3.743, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.6692, kappa: 0.1612, kb_relative_information_score: 74.1834, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6608, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9266, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.141, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.719,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.6751, kappa: 0.1766, kb_relative_information_score: 63.6449, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9407, scimark_benchmark: 1366.3187, usercpu_time_millis: 9.71, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 9.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6809, kappa: 0.1885, kb_relative_information_score: 66.0771, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6739, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9327, scimark_benchmark: 1368.5115, usercpu_time_millis: 1.145, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.66, kappa: 0.1275, kb_relative_information_score: 54.2843, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6538, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9288, scimark_benchmark: 1369.1618, usercpu_time_millis: 3.889, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.6714, kappa: 0.1579, kb_relative_information_score: 59.7668, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6663, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9227, scimark_benchmark: 1373.3421, usercpu_time_millis: 4.283, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 3.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.6556, kappa: 0.1151, kb_relative_information_score: 54.704, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6524, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9414, scimark_benchmark: 1375.6349, usercpu_time_millis: 1.981, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6696, kappa: 0.156, kb_relative_information_score: 62.2959, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6622, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.9321, scimark_benchmark: 1366.2951, usercpu_time_millis: 2.039, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6689, kappa: 0.1513, kb_relative_information_score: 56.0498, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9381, scimark_benchmark: 1366.6233, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 2.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.5943, kb_relative_information_score: 38.7643, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9373, scimark_benchmark: 1377.3431, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6804, kappa: 0.1803, kb_relative_information_score: 72.7993, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6787, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.914, scimark_benchmark: 1371.7958, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6712, kappa: 0.1635, kb_relative_information_score: 63.0621, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6631, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9337, scimark_benchmark: 1368.7721, usercpu_time_millis: 4.425, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.6519, kappa: 0.1059, kb_relative_information_score: 50.8421, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6525, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9466, scimark_benchmark: 1370.5562, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6561, kappa: 0.1196, kb_relative_information_score: 59.3139, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6473, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9345, scimark_benchmark: 1371.0594, usercpu_time_millis: 5.612, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 5.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.6615, kappa: 0.1304, kb_relative_information_score: 56.4751, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6653, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9291, scimark_benchmark: 1368.2544, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.6782, kappa: 0.1784, kb_relative_information_score: 67.9868, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.9218, scimark_benchmark: 1374.7826, usercpu_time_millis: 4.137, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6749, kappa: 0.1649, kb_relative_information_score: 65.5155, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6833, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9149, scimark_benchmark: 1375.854, usercpu_time_millis: 6.898, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 5.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6771, kappa: 0.1899, kb_relative_information_score: 72.2672, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6704, predictive_accuracy: 0.6878, prior_entropy: 0.8651, recall: 0.6878, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9527, scimark_benchmark: 1367.0453, usercpu_time_millis: 13.216, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 12.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.6749, kappa: 0.1728, kb_relative_information_score: 64.4543, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9333, scimark_benchmark: 1368.5467, usercpu_time_millis: 7.2, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 6.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.5943, kb_relative_information_score: 43.077, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9318, scimark_benchmark: 1375.2449, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6586, kappa: 0.1262, kb_relative_information_score: 58.5716, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6501, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.936, scimark_benchmark: 1362.7206, usercpu_time_millis: 2.525, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.644, kappa: 0.0944, kb_relative_information_score: 55.4798, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6765, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9278, scimark_benchmark: 1360.6958, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.6772, kappa: 0.1791, kb_relative_information_score: 65.7963, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9336, scimark_benchmark: 1374.3381, usercpu_time_millis: 5.709, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 5.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.675, kappa: 0.168, kb_relative_information_score: 54.9046, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.67, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9293, scimark_benchmark: 1368.8793, usercpu_time_millis: 3.995, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6668, kappa: 0.1503, kb_relative_information_score: 63.1538, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6584, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9357, scimark_benchmark: 1356.6403, usercpu_time_millis: 9.196, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 8.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6633, kappa: 0.1404, kb_relative_information_score: 60.9547, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6547, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.933, scimark_benchmark: 1371.8337, usercpu_time_millis: 4.532, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 4.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6699, kappa: 0.1605, kb_relative_information_score: 64.7985, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6616, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9346, scimark_benchmark: 1361.2503, usercpu_time_millis: 4.013, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 3.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6696, kappa: 0.156, kb_relative_information_score: 68.5549, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6622, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.9238, scimark_benchmark: 1372.8339, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.5943, kb_relative_information_score: 0.1754, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1367.016, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6035, kappa: 0.0151, kb_relative_information_score: 47.5161, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.654, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9339, scimark_benchmark: 1372.3189, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6639, kappa: 0.1448, kb_relative_information_score: 57.7437, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6549, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9499, scimark_benchmark: 1368.2438, usercpu_time_millis: 3.616, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 3.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 63.648, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.926, scimark_benchmark: 1376.8996, usercpu_time_millis: 6.976, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 6.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6744, kappa: 0.1689, kb_relative_information_score: 63.1026, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9373, scimark_benchmark: 1373.0433, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.6298, kappa: 0.0601, kb_relative_information_score: 52.8285, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6498, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9247, scimark_benchmark: 1365.6564, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.5943, kb_relative_information_score: 36.0932, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9399, scimark_benchmark: 1375.0879, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.6688, kappa: 0.1517, kb_relative_information_score: 56.3858, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6627, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9259, scimark_benchmark: 1368.8053, usercpu_time_millis: 2.636, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.356,

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