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: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.2676, mean_absolute_error: 0.0311, 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: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1803, scimark_benchmark: 1323.0672, usercpu_time_millis: 11.831, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 10.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 1075.6586, mean_absolute_error: 0.1202, 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: 0.2435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4154, scimark_benchmark: 1291.8765, usercpu_time_millis: 4.999, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 4.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1332.392, mean_absolute_error: 0.0148, 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: 0.03, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2, scimark_benchmark: 1316.642, usercpu_time_millis: 66.754, usercpu_time_millis_testing: 2.738, usercpu_time_millis_training: 64.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1183.8675, mean_absolute_error: 0.083, 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: 0.168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2647, scimark_benchmark: 1302.9471, usercpu_time_millis: 4.387, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 4.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1331.5163, mean_absolute_error: 0.0154, 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: 0.0312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1931, scimark_benchmark: 1318.8201, usercpu_time_millis: 23.906, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 22.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1079.0383, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.39, scimark_benchmark: 1292.9026, usercpu_time_millis: 30.686, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 28.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1101.7974, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3346, scimark_benchmark: 1300.6274, usercpu_time_millis: 8.201, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 7.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0201, 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: 1332.6156, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1297.1869, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2226, scimark_benchmark: 1330.7379, usercpu_time_millis: 12.52, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 11.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0457, 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: 1302.9887, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1300.6796, mean_absolute_error: 0.0306, 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: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.088, root_relative_squared_error: 0.1771, scimark_benchmark: 1300.2185, usercpu_time_millis: 43.4, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 40.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1285.762, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1953, scimark_benchmark: 1324.4808, usercpu_time_millis: 43.976, usercpu_time_millis_testing: 3.048, usercpu_time_millis_training: 40.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1303.5582, mean_absolute_error: 0.0286, 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: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.1929, scimark_benchmark: 1322.1081, usercpu_time_millis: 57.83, usercpu_time_millis_testing: 3.387, usercpu_time_millis_training: 54.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1176.3567, mean_absolute_error: 0.086, 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: 0.1741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2727, scimark_benchmark: 1304.1109, usercpu_time_millis: 5.473, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 5.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1249.2068, mean_absolute_error: 0.0535, 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: 0.1083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2227, scimark_benchmark: 1325.3829, usercpu_time_millis: 41.764, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 38.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1299.8006, mean_absolute_error: 0.0311, 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: 0.0629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1777, scimark_benchmark: 1331.6303, usercpu_time_millis: 14.452, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 13.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9283, kappa: 0.8544, kb_relative_information_score: 1012.3645, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9296, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4828, scimark_benchmark: 1291.7549, usercpu_time_millis: 20.422, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 18.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0287, 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: 1328.5002, usercpu_time_millis: 8.816, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 7.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0138, 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: 1322.0099, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1271.4306, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1836, scimark_benchmark: 1332.7565, usercpu_time_millis: 2.203, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 2.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.617, mean_absolute_error: 0.0285, 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: 0.0577, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1734, scimark_benchmark: 1294.9672, usercpu_time_millis: 10.471, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 9.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1243.8595, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2067, scimark_benchmark: 1322.0809, usercpu_time_millis: 10.983, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 9.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.1199, 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: 1308.5092, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1227.9095, mean_absolute_error: 0.0616, 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: 0.1247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2557, scimark_benchmark: 1333.9066, usercpu_time_millis: 9.076, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 8.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8568, kappa: 0.7112, kb_relative_information_score: 759.2138, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8586, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6282, scimark_benchmark: 1314.8228, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1271.6101, mean_absolute_error: 0.0428, 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: 0.0867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2131, scimark_benchmark: 1303.2644, usercpu_time_millis: 23.937, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 22.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1191.3375, mean_absolute_error: 0.0799, 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: 0.1618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2556, scimark_benchmark: 1327.8906, usercpu_time_millis: 19.326, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 17.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1258.5942, mean_absolute_error: 0.0493, 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: 0.0998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2132, scimark_benchmark: 1311.4791, usercpu_time_millis: 34.075, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 31.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1263.0107, mean_absolute_error: 0.045, 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: 0.0911, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.246, scimark_benchmark: 1330.6806, usercpu_time_millis: 9.751, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 9.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 1047.1269, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.439, scimark_benchmark: 1327.1757, usercpu_time_millis: 10.509, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 9.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8856, kappa: 0.7686, kb_relative_information_score: 760.2773, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8857, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5949, scimark_benchmark: 1860.2646, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.1083, 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: 1857.7844, usercpu_time_millis: 0.957, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.2338, 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: 1851.0585, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1294.9252, mean_absolute_error: 0.0331, 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: 0.067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1807, scimark_benchmark: 2169.6679, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9737, kappa: 0.9467, kb_relative_information_score: 1152.4649, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3288, scimark_benchmark: 1743.0525, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.367,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9201, kappa: 0.8377, kb_relative_information_score: 799.5283, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9226, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5579, scimark_benchmark: 1327.1948, usercpu_time_millis: 13.508, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 12.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9124, kappa: 0.8223, kb_relative_information_score: 993.2379, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9127, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5415, scimark_benchmark: 1332.8091, usercpu_time_millis: 22.541, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 20.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1264.2965, mean_absolute_error: 0.0481, 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: 0.0975, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.1879, scimark_benchmark: 1295.7376, usercpu_time_millis: 20.109, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 18.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.856, kappa: 0.7097, kb_relative_information_score: 657.604, mean_absolute_error: 0.283, 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: 0.5731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6736, scimark_benchmark: 1298.7002, usercpu_time_millis: 7.493, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 6.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1255.1911, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321, scimark_benchmark: 1292.8451, usercpu_time_millis: 4.334, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 4.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0066, 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: 1322.9983, usercpu_time_millis: 7.07, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 6.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8983, kappa: 0.7935, kb_relative_information_score: 645.751, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9043, predictive_accuracy: 0.8994, prior_entropy: 0.9912, recall: 0.8994, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6493, scimark_benchmark: 1324.2114, usercpu_time_millis: 19.583, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 17.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9007, kappa: 0.7982, kb_relative_information_score: 638.2084, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9056, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6521, scimark_benchmark: 1291.1762, usercpu_time_millis: 20.18, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 17.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1174.5996, mean_absolute_error: 0.087, 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: 0.1761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2706, scimark_benchmark: 1281.8318, usercpu_time_millis: 12.804, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 11.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1155.0233, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2898, scimark_benchmark: 1316.1855, usercpu_time_millis: 18.402, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 16.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1289.0503, mean_absolute_error: 0.0347, 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: 0.0702, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2081, scimark_benchmark: 1280.8312, usercpu_time_millis: 26.393, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 24.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 658.9305, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677, scimark_benchmark: 1299.1073, usercpu_time_millis: 4.279, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 3.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1168.813, mean_absolute_error: 0.0891, 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: 0.1805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2794, scimark_benchmark: 1356.602, usercpu_time_millis: 28.254, usercpu_time_millis_testing: 2.928, usercpu_time_millis_training: 25.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9189, kappa: 0.8355, kb_relative_information_score: 1033.4231, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.4914, scimark_benchmark: 1326.5297, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1276.7163, mean_absolute_error: 0.0415, 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: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.1946, scimark_benchmark: 1312.859, usercpu_time_millis: 33.562, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 31.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1067.1383, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9736, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.372, scimark_benchmark: 1293.3979, usercpu_time_millis: 30.492, usercpu_time_millis_testing: 3.636, usercpu_time_millis_training: 26.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.943, kappa: 0.8844, kb_relative_information_score: 980.3139, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4636, scimark_benchmark: 1275.0553, usercpu_time_millis: 6.002, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 5.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9136, kappa: 0.8246, kb_relative_information_score: 818.4512, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9151, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5587, scimark_benchmark: 1295.3452, usercpu_time_millis: 11.296, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 10.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9262, kappa: 0.8504, kb_relative_information_score: 1050.5956, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9266, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4654, scimark_benchmark: 1287.3358, usercpu_time_millis: 3.631, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 3.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1185.3029, mean_absolute_error: 0.0824, 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: 0.1668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2625, scimark_benchmark: 1323.621, usercpu_time_millis: 29.312, usercpu_time_millis_testing: 2.34, usercpu_time_millis_training: 26.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.027, 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: 1311.0236, usercpu_time_millis: 4.498, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1244.4785, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.2268, scimark_benchmark: 1318.3823, usercpu_time_millis: 8.626, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 7.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.8221, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1821, scimark_benchmark: 1300.9505, usercpu_time_millis: 27.001, usercpu_time_millis_testing: 2.455, usercpu_time_millis_training: 24.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9159, kappa: 0.8294, kb_relative_information_score: 999.9333, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9166, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5177, scimark_benchmark: 1768.856, usercpu_time_millis: 2.46, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 2.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9187, kappa: 0.835, kb_relative_information_score: 976.923, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9204, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5066, scimark_benchmark: 1733.78, usercpu_time_millis: 0.561, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1236.5688, mean_absolute_error: 0.0578, 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: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2482, scimark_benchmark: 1743.2712, usercpu_time_millis: 2.851, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 2.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0492, 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: 1863.9794, usercpu_time_millis: 2.141, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9144, kappa: 0.8264, kb_relative_information_score: 1002.11, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9152, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5167, scimark_benchmark: 1843.2687, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1289.8739, mean_absolute_error: 0.0354, 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: 0.0716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.185, scimark_benchmark: 1767.6153, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0887, 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: 2107.3054, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1303.1828, mean_absolute_error: 0.0289, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1811, scimark_benchmark: 1738.2952, usercpu_time_millis: 3.157, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9141, kappa: 0.8256, kb_relative_information_score: 908.1577, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9173, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5157, scimark_benchmark: 1740.0128, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1225.5704, mean_absolute_error: 0.0648, 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: 0.1312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1818.7931, usercpu_time_millis: 7.033, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 6.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 660.2952, mean_absolute_error: 0.2819, 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: 0.5708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6783, scimark_benchmark: 1736.546, usercpu_time_millis: 3.013, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.625,

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