OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1339.7176, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1057, scimark_benchmark: 1317.7414, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8524, kappa: 0.7054, kb_relative_information_score: 880.2011, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8625, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6515, scimark_benchmark: 1301.927, usercpu_time_millis: 4.619, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1326.0224, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1773, scimark_benchmark: 1306.971, usercpu_time_millis: 0.56, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9041, kappa: 0.8055, kb_relative_information_score: 897.4635, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9196, predictive_accuracy: 0.906, prior_entropy: 0.9912, recall: 0.906, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5544, scimark_benchmark: 1307.3744, usercpu_time_millis: 6.295, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 6.171,
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: 0.9969, f_measure: 0.9629, kappa: 0.9249, kb_relative_information_score: 1249.4778, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3068, scimark_benchmark: 1307.4147, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6856, kappa: 0.37, kb_relative_information_score: 375.629, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7141, predictive_accuracy: 0.7004, prior_entropy: 0.9912, recall: 0.7004, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8611, scimark_benchmark: 1329.0103, usercpu_time_millis: 1.933, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.9752, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.084, root_relative_squared_error: 0.1691, scimark_benchmark: 1329.286, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9629, kappa: 0.9249, kb_relative_information_score: 1249.3675, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3069, scimark_benchmark: 1339.879, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1367.9019, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0349, scimark_benchmark: 1296.848, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1298.4726, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2127, scimark_benchmark: 1332.8035, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1253.6358, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3015, scimark_benchmark: 1331.3074, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1321.4663, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.1889, scimark_benchmark: 1303.2212, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.2917, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.021, root_relative_squared_error: 0.0422, scimark_benchmark: 1305.154, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1318.4704, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.1921, scimark_benchmark: 1328.3694, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.6182, kappa: 0.2772, kb_relative_information_score: 187.9505, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7415, predictive_accuracy: 0.6669, prior_entropy: 0.9912, recall: 0.6669, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9373, scimark_benchmark: 1306.9663, usercpu_time_millis: 2.362, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.76, kappa: 0.5132, kb_relative_information_score: 371.6393, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7692, predictive_accuracy: 0.7646, prior_entropy: 0.9912, recall: 0.7646, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8622, scimark_benchmark: 1312.4248, usercpu_time_millis: 2.369, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1341.5584, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.0974, scimark_benchmark: 1332.4345, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9672, kappa: 0.9338, kb_relative_information_score: 1255.7074, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9676, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.2972, scimark_benchmark: 1300.9063, usercpu_time_millis: 3.382, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7695, kappa: 0.5326, kb_relative_information_score: 591.742, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7797, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7594, scimark_benchmark: 1333.6577, usercpu_time_millis: 2.022, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7048, kappa: 0.4305, kb_relative_information_score: 414.1871, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8208, predictive_accuracy: 0.7354, prior_entropy: 0.9912, recall: 0.7354, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.407, root_relative_squared_error: 0.819, scimark_benchmark: 1335.1813, usercpu_time_millis: 4.849, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 4.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8859, kappa: 0.7686, kb_relative_information_score: 950.5462, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8866, predictive_accuracy: 0.8863, prior_entropy: 0.9912, recall: 0.8863, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5578, scimark_benchmark: 1312.5049, usercpu_time_millis: 9.016, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 8.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.7594, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1815, scimark_benchmark: 1304.5335, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.2024, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1799, scimark_benchmark: 1309.8056, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 1106.1772, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4017, scimark_benchmark: 1336.0502, usercpu_time_millis: 1.088, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1368.3332, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0146, root_relative_squared_error: 0.0295, scimark_benchmark: 1305.2856, usercpu_time_millis: 1.185, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.5716, kappa: 0.1549, kb_relative_information_score: 126.0409, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6029, predictive_accuracy: 0.6028, prior_entropy: 0.9912, recall: 0.6028, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9566, scimark_benchmark: 1335.5787, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.1626, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1330.7791, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8023, kappa: 0.5986, kb_relative_information_score: 683.5672, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8072, predictive_accuracy: 0.8047, prior_entropy: 0.9912, recall: 0.8047, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7138, scimark_benchmark: 1332.1802, usercpu_time_millis: 2.014, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.634, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0095, root_relative_squared_error: 0.0191, scimark_benchmark: 1334.4332, usercpu_time_millis: 2.687, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8619, kappa: 0.7243, kb_relative_information_score: 918.77, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8722, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.627, scimark_benchmark: 1330.279, usercpu_time_millis: 4.527, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1321.1043, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1897, scimark_benchmark: 1294.3994, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8647, kappa: 0.7255, kb_relative_information_score: 869.2985, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6135, scimark_benchmark: 1325.0715, usercpu_time_millis: 2.49, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 2.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8633, kappa: 0.7225, kb_relative_information_score: 853.6733, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6225, scimark_benchmark: 1310.3407, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 2.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1341.5906, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.097, scimark_benchmark: 1303.1812, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.5013, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1826, scimark_benchmark: 1328.1705, usercpu_time_millis: 1.864, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1319.9686, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.1917, scimark_benchmark: 1302.6901, usercpu_time_millis: 0.429, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.412,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1504, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1812, scimark_benchmark: 1309.4125, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1319.93, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1331.1457, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.1715, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1828, scimark_benchmark: 1306.8283, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8367, kappa: 0.6692, kb_relative_information_score: 733.3233, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8523, predictive_accuracy: 0.8404, prior_entropy: 0.9912, recall: 0.8404, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6595, scimark_benchmark: 1307.6232, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 1095.0251, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4107, scimark_benchmark: 1314.2952, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8988, kappa: 0.7955, kb_relative_information_score: 856.9907, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8993, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6069, scimark_benchmark: 1322.3294, usercpu_time_millis: 1.953, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1323.0918, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1747, scimark_benchmark: 1334.0435, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6841, kappa: 0.3678, kb_relative_information_score: 363.4249, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7146, predictive_accuracy: 0.6997, prior_entropy: 0.9912, recall: 0.6997, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8661, scimark_benchmark: 1298.6557, usercpu_time_millis: 2.006, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1290.8722, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2479, scimark_benchmark: 1334.283, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1363.0516, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0167, root_relative_squared_error: 0.0336, scimark_benchmark: 1306.3057, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1313.8638, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2014, scimark_benchmark: 1299.3949, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.6625, kappa: 0.3405, kb_relative_information_score: 275.5611, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7333, predictive_accuracy: 0.6917, prior_entropy: 0.9912, recall: 0.6917, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9024, scimark_benchmark: 1328.0225, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9395, kappa: 0.8776, kb_relative_information_score: 1175.9915, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.3875, scimark_benchmark: 1333.4882, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9457, kb_relative_information_score: 1227.7918, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3188, scimark_benchmark: 1325.1789, usercpu_time_millis: 1.382, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1301.5847, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2274, scimark_benchmark: 1336.5118, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.1496, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1766, scimark_benchmark: 1339.0308, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8452, kappa: 0.6909, kb_relative_information_score: 857.2587, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8551, predictive_accuracy: 0.8448, prior_entropy: 0.9912, recall: 0.8448, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6659, scimark_benchmark: 1318.0695, usercpu_time_millis: 4.658, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1302.5694, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2253, scimark_benchmark: 1323.3033, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9084, kappa: 0.8176, kb_relative_information_score: 863.7348, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.922, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5844, scimark_benchmark: 1315.9536, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1317.4044, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.1948, scimark_benchmark: 1330.6278, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9629, kappa: 0.9249, kb_relative_information_score: 1229.6962, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3194, scimark_benchmark: 1332.4089, usercpu_time_millis: 3.842, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 3.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 426.89, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1326.4975, usercpu_time_millis: 16.83, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 16.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9153, kappa: 0.8284, kb_relative_information_score: 1035.412, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.4943, scimark_benchmark: 1335.741, usercpu_time_millis: 26.726, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 26.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1363.0888, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0183, root_relative_squared_error: 0.0369, scimark_benchmark: 1303.8367, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1320.1016, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1895, scimark_benchmark: 1310.0634, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8575, kappa: 0.7205, kb_relative_information_score: 896.5155, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8876, predictive_accuracy: 0.8579, prior_entropy: 0.9912, recall: 0.8579, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6054, scimark_benchmark: 1333.596, usercpu_time_millis: 5.508, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 5.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9306, kappa: 0.8591, kb_relative_information_score: 1088.1245, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.939, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4327, scimark_benchmark: 1317.9771, usercpu_time_millis: 6.278, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 6.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1322.0164, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.1878, scimark_benchmark: 1333.9257, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.2595, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1804, scimark_benchmark: 1302.6051, usercpu_time_millis: 0.498, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9636, kappa: 0.9264, kb_relative_information_score: 1231.1398, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3187, scimark_benchmark: 1317.5892, usercpu_time_millis: 3.626, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 3.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.7108, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1721, scimark_benchmark: 1334.6324, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1280.6901, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2647, scimark_benchmark: 1304.5516, usercpu_time_millis: 1.11, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.079,

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