Task
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: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1248.662, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.225, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.833, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1204.2164, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2538, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.534, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9299, kappa: 0.8578, kb_relative_information_score: 1063.2272, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.452, scimark_benchmark: 1830.0638, usercpu_time_millis: 1.685, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8589, kappa: 0.7151, kb_relative_information_score: 659.7323, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.86, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6712, scimark_benchmark: 1865.4271, usercpu_time_millis: 2.547, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1316.9703, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419, scimark_benchmark: 1840.1004, usercpu_time_millis: 15.792, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 14.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1234.8811, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2472, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1289.8179, mean_absolute_error: 0.0344, 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: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2104, scimark_benchmark: 1865.4271, usercpu_time_millis: 11.788, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 11.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8589, kappa: 0.7154, kb_relative_information_score: 658.149, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8604, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6729, scimark_benchmark: 1858.0279, usercpu_time_millis: 2.706, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 763.6883, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5809, scimark_benchmark: 1872.199, usercpu_time_millis: 1.485, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1212.9229, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.276, scimark_benchmark: 1869.8223, usercpu_time_millis: 7.879, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 7.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0149, 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: 1821.3481, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9201, kappa: 0.8377, kb_relative_information_score: 980.2881, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9225, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5015, scimark_benchmark: 1860.9814, usercpu_time_millis: 2.257, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9152, kappa: 0.8279, kb_relative_information_score: 977.3438, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9159, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.516, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.856, kappa: 0.7097, kb_relative_information_score: 659.3978, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8578, predictive_accuracy: 0.8557, prior_entropy: 0.9912, recall: 0.8557, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6765, scimark_benchmark: 1867.0195, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0661, 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: 1861.1843, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.083, 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: 1847.612, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0271, 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: 1851.2072, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0743, 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: 1852.3183, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1201.5952, mean_absolute_error: 0.075, 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: 0.1518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2531, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9166, kappa: 0.8308, kb_relative_information_score: 1003.7815, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9175, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5075, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8797, kappa: 0.7564, kb_relative_information_score: 690.7817, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8797, predictive_accuracy: 0.8797, prior_entropy: 0.9912, recall: 0.8797, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6345, scimark_benchmark: 1858.6076, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8985, kappa: 0.7941, kb_relative_information_score: 873.1863, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8988, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5557, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1228.9119, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2803, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.916, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 4.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9438, kappa: 0.886, kb_relative_information_score: 1080.7249, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4165, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.374, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1182.7881, mean_absolute_error: 0.0823, 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: 0.1667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2751, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.054, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1219.4188, mean_absolute_error: 0.0649, 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: 0.1315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2645, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.048, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 4.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 1045.4917, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9392, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4477, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.975, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1111.9822, mean_absolute_error: 0.1121, 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: 0.2269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3321, scimark_benchmark: 1862.1704, usercpu_time_millis: 7.741, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 6.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1272.2448, mean_absolute_error: 0.0422, 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: 0.0855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2155, scimark_benchmark: 1865.8853, usercpu_time_millis: 7.811, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 7.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1250.2649, mean_absolute_error: 0.0538, 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: 0.109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2084, scimark_benchmark: 1859.1559, usercpu_time_millis: 7.701, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 6.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1174.722, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3085, scimark_benchmark: 1865.7851, usercpu_time_millis: 6.82, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 6.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1283.6376, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2191, scimark_benchmark: 1837.8924, usercpu_time_millis: 8.839, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 8.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1180.448, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3171, scimark_benchmark: 1871.3925, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1290.5188, mean_absolute_error: 0.0339, 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: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.211, scimark_benchmark: 1869.6309, usercpu_time_millis: 10.916, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 10.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9371, kappa: 0.8725, kb_relative_information_score: 1049.3886, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9379, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4444, scimark_benchmark: 1864.6657, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.33,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1160.8101, mean_absolute_error: 0.0898, 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: 0.1818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3106, scimark_benchmark: 1838.1863, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0295, 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: 1836.2344, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8677, kappa: 0.7337, kb_relative_information_score: 848.6486, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8706, predictive_accuracy: 0.8673, prior_entropy: 0.9912, recall: 0.8673, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5959, scimark_benchmark: 1828.1259, usercpu_time_millis: 2.105, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 1058.5871, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4083, scimark_benchmark: 1857.2061, usercpu_time_millis: 6.615, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 5.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0472, 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: 1831.7211, usercpu_time_millis: 2.375, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8715, kappa: 0.7393, kb_relative_information_score: 546.4309, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8716, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7118, scimark_benchmark: 1865.3572, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9702, kappa: 0.9397, kb_relative_information_score: 1051.6924, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9705, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3844, scimark_benchmark: 1844.115, usercpu_time_millis: 3.866, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1166.1993, mean_absolute_error: 0.0859, 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: 0.174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3202, scimark_benchmark: 1836.9782, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1224.7686, mean_absolute_error: 0.0631, 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: 0.1277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2526, scimark_benchmark: 1809.2617, usercpu_time_millis: 6.051, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 5.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1126.5026, mean_absolute_error: 0.1063, 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: 0.2153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3184, scimark_benchmark: 1835.581, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9745, kappa: 0.9483, kb_relative_information_score: 1174.4044, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3274, scimark_benchmark: 1837.3642, usercpu_time_millis: 1.575, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1207.9085, mean_absolute_error: 0.0699, 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: 0.1415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2743, scimark_benchmark: 1810.6215, usercpu_time_millis: 3.384, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 3.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1298.8106, mean_absolute_error: 0.0303, 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: 0.0614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1798.3631, usercpu_time_millis: 4.526, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 4.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1215.2065, mean_absolute_error: 0.069, 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: 0.1398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409, scimark_benchmark: 1814.9814, usercpu_time_millis: 3.609, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 663.4711, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6792, scimark_benchmark: 1824.9203, usercpu_time_millis: 3.269, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.213, mean_absolute_error: 0.03, 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: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1794, scimark_benchmark: 1837.0374, usercpu_time_millis: 3.603, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1320.3754, mean_absolute_error: 0.0208, 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: 0.0422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1736, scimark_benchmark: 1879.7843, usercpu_time_millis: 3.517, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 3.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8799, kappa: 0.7571, kb_relative_information_score: 736.9379, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8802, predictive_accuracy: 0.8797, prior_entropy: 0.9912, recall: 0.8797, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6099, scimark_benchmark: 1843.9323, usercpu_time_millis: 3.318, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1233.2943, mean_absolute_error: 0.0593, 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: 0.1201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2458, scimark_benchmark: 1839.4122, usercpu_time_millis: 4.061, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 3.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1294.5474, mean_absolute_error: 0.0327, 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: 0.0662, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1909, scimark_benchmark: 1803.7974, usercpu_time_millis: 3.924, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 3.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1002.0575, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5169, scimark_benchmark: 1791.7482, usercpu_time_millis: 5.758, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 5.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1260.0785, mean_absolute_error: 0.0496, 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: 0.1004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.1984, scimark_benchmark: 1823.4911, usercpu_time_millis: 3.836, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 1040.8708, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4209, scimark_benchmark: 1820.854, usercpu_time_millis: 3.968, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9393, kappa: 0.877, kb_relative_information_score: 1055.5308, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4398, scimark_benchmark: 1802.271, usercpu_time_millis: 5.669, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 5.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1179.5363, mean_absolute_error: 0.0846, 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: 0.1713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2704, scimark_benchmark: 1838.1863, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1182.5771, mean_absolute_error: 0.0813, 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: 0.1646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.288, scimark_benchmark: 1779.2734, usercpu_time_millis: 8.768, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 7.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8892, kappa: 0.7757, kb_relative_information_score: 857.0924, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8893, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5609, scimark_benchmark: 1829.0184, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1159.8082, mean_absolute_error: 0.0929, 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: 0.1881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2877, scimark_benchmark: 1809.2617, usercpu_time_millis: 2.162, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.0334, 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: 1849.1868, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1007.1125, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5254, scimark_benchmark: 1864.3739, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1123.9485, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3487, scimark_benchmark: 1779.2734, usercpu_time_millis: 8.711, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 7.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1288.131, mean_absolute_error: 0.036, 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: 0.0728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1896, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9209, kappa: 0.8393, kb_relative_information_score: 998.3282, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9229, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4847, scimark_benchmark: 1835.9648, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.055,

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