OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.5165, kb_relative_information_score: 67.1822, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9541, scimark_benchmark: 1861.8338, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.6873, kappa: 0.2924, kb_relative_information_score: 174.7466, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6954, predictive_accuracy: 0.7088, prior_entropy: 0.9312, recall: 0.7088, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8707, scimark_benchmark: 1749.9829, usercpu_time_millis: 2.065, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5165, kb_relative_information_score: 0.19, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.0068, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.7546, kappa: 0.4484, kb_relative_information_score: 218.6807, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8212, predictive_accuracy: 0.7839, prior_entropy: 0.9312, recall: 0.7839, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8392, scimark_benchmark: 1860.0553, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 777.7895, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.346, scimark_benchmark: 1748.0598, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 2.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 517.7818, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5998, scimark_benchmark: 1856.2489, usercpu_time_millis: 4.251, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 3.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8585, kappa: 0.6799, kb_relative_information_score: 391.8857, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8866, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7006, scimark_benchmark: 1865.5486, usercpu_time_millis: 1.734, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.5165, kb_relative_information_score: 80.8539, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9349, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8299, kappa: 0.6152, kb_relative_information_score: 327.733, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8631, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7527, scimark_benchmark: 1868.2531, usercpu_time_millis: 3.889, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.5165, kb_relative_information_score: 31.0615, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9748, scimark_benchmark: 1870.6721, usercpu_time_millis: 1.619, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 686.995, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4259, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.643, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 614.9617, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5182, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 819.0982, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.297, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.16, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 4.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8533, kappa: 0.6681, kb_relative_information_score: 378.7127, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8789, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7097, scimark_benchmark: 1867.4545, usercpu_time_millis: 3.174, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 790.7032, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3339, scimark_benchmark: 1866.2865, usercpu_time_millis: 5.097, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 4.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5165, kb_relative_information_score: -0.3781, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.5972, kappa: 0.1279, kb_relative_information_score: 88.8368, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7062, predictive_accuracy: 0.6827, prior_entropy: 0.9312, recall: 0.6827, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9414, scimark_benchmark: 1861.2508, usercpu_time_millis: 2.211, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 791.498, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3224, scimark_benchmark: 1877.8658, usercpu_time_millis: 3.942, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 3.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8087, kappa: 0.5677, kb_relative_information_score: 280.0102, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8535, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7985, scimark_benchmark: 1864.4376, usercpu_time_millis: 4.269, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 3.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 702.6987, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4001, scimark_benchmark: 1866.6776, usercpu_time_millis: 6.517, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 5.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.854, kappa: 0.6698, kb_relative_information_score: 385.192, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8816, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7072, scimark_benchmark: 1861.8338, usercpu_time_millis: 4.238, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 3.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8274, kappa: 0.6095, kb_relative_information_score: 309.7285, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8616, predictive_accuracy: 0.8403, prior_entropy: 0.9312, recall: 0.8403, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7671, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.907, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 4.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 788.6551, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3281, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.941, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9662, kappa: 0.9245, kb_relative_information_score: 719.861, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9682, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4014, scimark_benchmark: 1749.0252, usercpu_time_millis: 11.408, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 9.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 724.8523, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.398, scimark_benchmark: 1869.2942, usercpu_time_millis: 3.992, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 3.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7763, kappa: 0.494, kb_relative_information_score: 323.2652, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7961, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7631, scimark_benchmark: 1867.6581, usercpu_time_millis: 3.86, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 3.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9801, kappa: 0.9561, kb_relative_information_score: 852.9485, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2918, scimark_benchmark: 1748.8114, usercpu_time_millis: 7.055, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 6.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9801, kappa: 0.9557, kb_relative_information_score: 503.5329, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9805, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5922, scimark_benchmark: 1871.9601, usercpu_time_millis: 5.561, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 782.2158, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3271, scimark_benchmark: 1867.725, usercpu_time_millis: 7.028, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 6.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 658.6788, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4692, scimark_benchmark: 1868.1832, usercpu_time_millis: 5.186, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 81.3636, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9399, scimark_benchmark: 1126.2918, usercpu_time_millis: 1.771, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 763.4233, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9867, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3691, scimark_benchmark: 1133.0933, usercpu_time_millis: 6.366, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 5.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6304, f_measure: 0.5165, kb_relative_information_score: 74.2757, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9569, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.295, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5165, kb_relative_information_score: -0.6034, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.636, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -0.3325, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1863.4084, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.68,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.5963, kappa: 0.1371, kb_relative_information_score: 97.0853, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7902, predictive_accuracy: 0.691, prior_entropy: 0.9312, recall: 0.691, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.956, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5165, kb_relative_information_score: -0.5063, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 0.981, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 782.3004, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.32, scimark_benchmark: 1870.8114, usercpu_time_millis: 6.372, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 5.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 772.8454, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3375, scimark_benchmark: 1868.1832, usercpu_time_millis: 3.227, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7079, kappa: 0.3493, kb_relative_information_score: 160.1177, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7976, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8766, scimark_benchmark: 1851.3986, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8326, kappa: 0.6214, kb_relative_information_score: 332.4078, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8699, predictive_accuracy: 0.8455, prior_entropy: 0.9312, recall: 0.8455, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7549, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.185, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 338.8895, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7448, scimark_benchmark: 1857.1082, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.0396, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, 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: 1857.5664, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7999, kappa: 0.5487, kb_relative_information_score: 299.7951, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8592, predictive_accuracy: 0.8205, prior_entropy: 0.9312, recall: 0.8205, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7913, scimark_benchmark: 1849.7595, usercpu_time_millis: 2.379, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9769, kappa: 0.9486, kb_relative_information_score: 517.5261, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9776, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5851, scimark_benchmark: 1861.5089, usercpu_time_millis: 4.788, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 4.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9279, kappa: 0.8379, kb_relative_information_score: 572.924, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9368, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5382, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.955, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 757.1024, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3472, scimark_benchmark: 1864.5074, usercpu_time_millis: 8.286, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 7.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 618.6857, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5015, scimark_benchmark: 1867.1541, usercpu_time_millis: 6.76, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 5.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 789.8911, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3103, scimark_benchmark: 1865.8853, usercpu_time_millis: 8.21, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 7.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.6585, kappa: 0.2531, kb_relative_information_score: 146.6062, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8015, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8914, scimark_benchmark: 1837.1204, usercpu_time_millis: 1.02, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.6511, kappa: 0.2275, kb_relative_information_score: 93.2449, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.728, predictive_accuracy: 0.7088, prior_entropy: 0.9312, recall: 0.7088, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9402, scimark_benchmark: 1823.8876, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5165, kb_relative_information_score: 0.0702, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, 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: 1860.0573, usercpu_time_millis: 1.176, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: 0.1573, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.6076, usercpu_time_millis: 1.981, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8233, kappa: 0.6003, kb_relative_information_score: 287.379, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8605, predictive_accuracy: 0.8372, prior_entropy: 0.9312, recall: 0.8372, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7858, scimark_benchmark: 1840.6297, usercpu_time_millis: 2.642, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 2.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.5165, kb_relative_information_score: 56.4377, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9548, scimark_benchmark: 1832.0698, usercpu_time_millis: 1.937, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 780.5054, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3356, scimark_benchmark: 1843.1261, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.6759, kappa: 0.2704, kb_relative_information_score: 122.1689, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6737, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9128, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.841, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7876, kappa: 0.5216, kb_relative_information_score: 233.1314, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8534, predictive_accuracy: 0.8111, prior_entropy: 0.9312, recall: 0.8111, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8445, scimark_benchmark: 1860.3374, usercpu_time_millis: 2.757, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.6777, kappa: 0.291, kb_relative_information_score: 166.2491, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.808, predictive_accuracy: 0.7359, prior_entropy: 0.9312, recall: 0.7359, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8761, scimark_benchmark: 1874.1301, usercpu_time_millis: 3.563, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 2.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5165, kb_relative_information_score: -0.303, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1814.1148, usercpu_time_millis: 0.944, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7989, kappa: 0.5464, kb_relative_information_score: 292.2438, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8568, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7953, scimark_benchmark: 1870.1619, usercpu_time_millis: 4.028, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 3.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8511, kappa: 0.6632, kb_relative_information_score: 382.1394, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8821, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7094, scimark_benchmark: 1821.0458, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7348, kappa: 0.4001, kb_relative_information_score: 253.2828, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7513, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.8116, scimark_benchmark: 1823.4294, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.7898, kappa: 0.5248, kb_relative_information_score: 291.0514, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8281, predictive_accuracy: 0.8079, prior_entropy: 0.9312, recall: 0.8079, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.779, scimark_benchmark: 1842.6679, usercpu_time_millis: 3.734, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 3.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8013, kappa: 0.5517, kb_relative_information_score: 303.4573, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8598, predictive_accuracy: 0.8215, prior_entropy: 0.9312, recall: 0.8215, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7863, scimark_benchmark: 1871.1262, usercpu_time_millis: 1.316, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9597, kappa: 0.91, kb_relative_information_score: 697.5154, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9626, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4279, scimark_benchmark: 1836.0792, usercpu_time_millis: 3.753, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 3.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7023, kappa: 0.3274, kb_relative_information_score: 121.801, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7053, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.925, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 586.7052, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5363, scimark_benchmark: 1824.7316, usercpu_time_millis: 3.394, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 2.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 774.5078, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3545, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.279, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.038,

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