OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1193.2104, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2824, scimark_benchmark: 1817.3347, usercpu_time_millis: 6.323, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 5.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1240.3855, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2166, scimark_benchmark: 1830.9025, usercpu_time_millis: 5.672, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 5.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0315, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1787.0046, usercpu_time_millis: 2.392, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 2.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1266.7149, mean_absolute_error: 0.0441, 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: 0.0893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2329, scimark_benchmark: 1780.1476, usercpu_time_millis: 8.654, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 7.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1222.591, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2608, scimark_benchmark: 1789.2501, usercpu_time_millis: 7.207, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 6.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1220.9884, mean_absolute_error: 0.0664, 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: 0.1345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2372, scimark_benchmark: 1785.794, usercpu_time_millis: 1.916, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1230.2161, mean_absolute_error: 0.0628, 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: 0.1272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224, scimark_benchmark: 1793.7034, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0473, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1865.8746, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 983.5629, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4327, scimark_benchmark: 1772.1689, usercpu_time_millis: 3.815, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 856.5986, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5298, scimark_benchmark: 1862.9479, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3966, kb_relative_information_score: 0.1333, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1808.244, usercpu_time_millis: 0.365, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1305.2808, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.1997, scimark_benchmark: 1825.1482, usercpu_time_millis: 5.029, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 4.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1267.8116, mean_absolute_error: 0.0449, 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: 0.0909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2086, scimark_benchmark: 1773.9275, usercpu_time_millis: 1.692, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1282.2842, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.1927, scimark_benchmark: 1867.0779, usercpu_time_millis: 2.555, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1069.0836, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.942, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4266, scimark_benchmark: 1774.6345, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8196, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6951, scimark_benchmark: 1864.3739, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1248.2805, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2128, scimark_benchmark: 1781.0671, usercpu_time_millis: 7.489, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 6.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1289.1733, mean_absolute_error: 0.0356, 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: 0.0721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.187, scimark_benchmark: 1817.2566, usercpu_time_millis: 6.783, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 6.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1227.0718, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3272, scimark_benchmark: 1795.9198, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1170.1013, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3327, scimark_benchmark: 1835.3457, usercpu_time_millis: 7.059, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 6.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0346, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1806.4678, usercpu_time_millis: 2.027, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1259.8399, mean_absolute_error: 0.0482, 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: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184, scimark_benchmark: 1867.0195, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1210.3166, mean_absolute_error: 0.0689, 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: 0.1395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2726, scimark_benchmark: 1778.5551, usercpu_time_millis: 3.785, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.973, kappa: 0.9452, kb_relative_information_score: 1147.5858, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3335, scimark_benchmark: 1797.3681, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1308.1578, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2038, scimark_benchmark: 1772.5701, usercpu_time_millis: 3.713, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 3.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9159, kappa: 0.8295, kb_relative_information_score: 1002.4174, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5152, scimark_benchmark: 1868.0555, usercpu_time_millis: 6.274, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 5.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1030.6033, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9696, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3967, scimark_benchmark: 1747.7776, usercpu_time_millis: 2.75, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1276.3189, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1951, scimark_benchmark: 1785.6025, usercpu_time_millis: 8.958, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 8.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8656, kappa: 0.7295, kb_relative_information_score: 834.9995, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8689, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6075, scimark_benchmark: 1801.504, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1258.2927, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2232, scimark_benchmark: 1777.1933, usercpu_time_millis: 4.064, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1208.0532, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2506, scimark_benchmark: 1777.2002, usercpu_time_millis: 4.564, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 3.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1247.25, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2536, scimark_benchmark: 1853.4102, usercpu_time_millis: 8.847, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 8.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8763, kappa: 0.7501, kb_relative_information_score: 842.5712, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.877, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5703, scimark_benchmark: 1781.4186, usercpu_time_millis: 5.172, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 4.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1260.1378, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2281, scimark_benchmark: 1735.4391, usercpu_time_millis: 4.087, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9126, kappa: 0.8225, kb_relative_information_score: 727.3217, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.916, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6042, scimark_benchmark: 1761.8607, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 3.336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1311.9651, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2048, scimark_benchmark: 1767.6503, usercpu_time_millis: 3.817, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 3.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1255.7919, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2159, scimark_benchmark: 1779.2267, usercpu_time_millis: 2.793, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.861, kappa: 0.7193, kb_relative_information_score: 657.7568, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8618, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6712, scimark_benchmark: 1805.8557, usercpu_time_millis: 2.785, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1205.9438, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2855, scimark_benchmark: 1857.1406, usercpu_time_millis: 3.575, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 3.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 778.0019, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6194, scimark_benchmark: 1781.2701, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1265.0846, mean_absolute_error: 0.0462, 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: 0.0934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2106, scimark_benchmark: 1771.6766, usercpu_time_millis: 6.413, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 5.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1193.0334, mean_absolute_error: 0.0789, 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: 0.1597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2577, scimark_benchmark: 1856.624, usercpu_time_millis: 6.693, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 5.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1313.9116, mean_absolute_error: 0.0243, 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: 0.0492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1676, scimark_benchmark: 1758.9697, usercpu_time_millis: 1.678, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9599, kappa: 0.9188, kb_relative_information_score: 1060.3408, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4067, scimark_benchmark: 1830.6838, usercpu_time_millis: 2.803, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1324.6594, mean_absolute_error: 0.0187, 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: 0.0379, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1792, scimark_benchmark: 1780.6868, usercpu_time_millis: 0.135, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.0402, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1777.5567, usercpu_time_millis: 1.567, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.1574, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1826.453, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9555, kappa: 0.9099, kb_relative_information_score: 1103.4993, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3887, scimark_benchmark: 1789.5808, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 4.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1205.28, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2796, scimark_benchmark: 1763.5922, usercpu_time_millis: 4.97, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 1240.9682, mean_absolute_error: 0.0504, 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: 0.102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.156, root_relative_squared_error: 0.314, scimark_benchmark: 1755.8521, usercpu_time_millis: 9.615, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 9.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1236.8929, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2459, scimark_benchmark: 1758.1191, usercpu_time_millis: 4.172, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1299.7258, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2591, scimark_benchmark: 1771.4284, usercpu_time_millis: 6.637, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 6.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1313.5394, mean_absolute_error: 0.0231, 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: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2063, scimark_benchmark: 1778.8988, usercpu_time_millis: 6.015, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 5.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1252.7965, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2496, scimark_benchmark: 1747.3212, usercpu_time_millis: 9.027, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 8.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1090.3449, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3476, scimark_benchmark: 1736.1805, usercpu_time_millis: 6.915, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 6.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1266.3289, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.2364, scimark_benchmark: 1798.8117, usercpu_time_millis: 5.581, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 5.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9223, kappa: 0.8423, kb_relative_information_score: 809.9144, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9244, predictive_accuracy: 0.9227, prior_entropy: 0.9912, recall: 0.9227, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5536, scimark_benchmark: 1758.5397, usercpu_time_millis: 3.504, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 3.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9445, kappa: 0.8874, kb_relative_information_score: 1062.3542, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9449, predictive_accuracy: 0.9446, prior_entropy: 0.9912, recall: 0.9446, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4314, scimark_benchmark: 1759.9962, usercpu_time_millis: 2.772, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1034.1976, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3935, scimark_benchmark: 1777.0351, usercpu_time_millis: 3.4, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 3.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1279.6037, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1929, scimark_benchmark: 1750.2496, usercpu_time_millis: 4.153, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 3.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1262.1796, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2153, scimark_benchmark: 1739.2588, usercpu_time_millis: 6.062, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 5.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1312.7166, mean_absolute_error: 0.0248, 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: 0.0503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.1679, scimark_benchmark: 1734.5129, usercpu_time_millis: 7.181, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 6.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 1092.5193, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4005, scimark_benchmark: 1749.1333, usercpu_time_millis: 4.846, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 4.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.049, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1812.2175, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1288.1412, mean_absolute_error: 0.0361, 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: 0.0731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1876, scimark_benchmark: 1784.1798, usercpu_time_millis: 10.099, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 9.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1299.2099, mean_absolute_error: 0.0306, 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: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1857, scimark_benchmark: 745.6616, usercpu_time_millis: 6.409, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 6.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9483, kappa: 0.8954, kb_relative_information_score: 1196.5028, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9485, predictive_accuracy: 0.9483, prior_entropy: 0.9912, recall: 0.9483, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3865, scimark_benchmark: 1771.6349, usercpu_time_millis: 8.633, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 8.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1223.869, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2625, scimark_benchmark: 1735.2259, usercpu_time_millis: 9.768, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 8.974,

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