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: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.3624, mean_absolute_error: 0.0278, 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: 0.0562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1915, scimark_benchmark: 1762.3679, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1618, 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: 1752.7193, usercpu_time_millis: 1.243, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0316, 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: 2096.5614, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1319.6394, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1478, scimark_benchmark: 1784.8404, usercpu_time_millis: 4.995, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9092, kappa: 0.8156, kb_relative_information_score: 950.812, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9108, predictive_accuracy: 0.9096, prior_entropy: 0.9912, recall: 0.9096, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5285, scimark_benchmark: 1780.8777, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9261, kappa: 0.8499, kb_relative_information_score: 1008.902, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9276, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4765, scimark_benchmark: 1773.7559, usercpu_time_millis: 5.12, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 1045.2554, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4178, scimark_benchmark: 1733.6634, usercpu_time_millis: 5.043, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 4.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1171.0606, mean_absolute_error: 0.0886, 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: 0.1793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2734, scimark_benchmark: 1733.0143, usercpu_time_millis: 3.531, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 3.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1227.4556, mean_absolute_error: 0.0614, 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: 0.1243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.258, scimark_benchmark: 1726.3643, usercpu_time_millis: 6.411, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 5.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.0903, 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: 1718.9528, usercpu_time_millis: 0.632, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1261.9858, mean_absolute_error: 0.0456, 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: 0.0924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2411, scimark_benchmark: 1716.1683, usercpu_time_millis: 8.621, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 7.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1045.7768, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3837, scimark_benchmark: 2128.5524, usercpu_time_millis: 2.985, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1315.6306, mean_absolute_error: 0.0232, 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: 0.047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1833, scimark_benchmark: 1755.5733, usercpu_time_millis: 4.39, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 4.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8691, kappa: 0.7363, kb_relative_information_score: 857.0183, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8714, predictive_accuracy: 0.8688, prior_entropy: 0.9912, recall: 0.8688, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5849, scimark_benchmark: 1801.1762, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1322.1507, mean_absolute_error: 0.021, 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: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1571, scimark_benchmark: 1790.7543, usercpu_time_millis: 10.085, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 9.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9453, kappa: 0.889, kb_relative_information_score: 1116.6967, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.3941, scimark_benchmark: 1870.2737, usercpu_time_millis: 9.103, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 8.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9196, kappa: 0.837, kb_relative_information_score: 1007.2164, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9201, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.51, scimark_benchmark: 1784.9009, usercpu_time_millis: 4.334, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 4.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1308.7215, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.079, root_relative_squared_error: 0.1589, scimark_benchmark: 1787.6653, usercpu_time_millis: 4.925, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 4.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 1105.6366, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.375, scimark_benchmark: 1782.3395, usercpu_time_millis: 2.364, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1323.4908, mean_absolute_error: 0.0204, 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: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1566, scimark_benchmark: 1784.9009, usercpu_time_millis: 2.407, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1205.5007, mean_absolute_error: 0.072, 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: 0.1458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2645, scimark_benchmark: 1795.4051, usercpu_time_millis: 4.081, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 733.1356, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6914, scimark_benchmark: 1798.5722, usercpu_time_millis: 1.692, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.118, 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: 1789.9524, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8945, kappa: 0.7858, kb_relative_information_score: 624.1203, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9013, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6639, scimark_benchmark: 1724.1585, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.935, kappa: 0.8681, kb_relative_information_score: 1020.2351, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9355, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4673, scimark_benchmark: 1779.979, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0771, 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: 1789.9214, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1323.1066, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.1535, scimark_benchmark: 1816.8253, usercpu_time_millis: 12.088, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 11.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1226.7109, mean_absolute_error: 0.0645, 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: 0.1306, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2251, scimark_benchmark: 1769.2154, usercpu_time_millis: 5.255, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 4.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1071.1388, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4011, scimark_benchmark: 1760.3529, usercpu_time_millis: 3.759, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 3.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1199.2612, mean_absolute_error: 0.0724, 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: 0.1466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.2911, scimark_benchmark: 1770.661, usercpu_time_millis: 1.239, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8733, kappa: 0.7437, kb_relative_information_score: 615.469, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8735, predictive_accuracy: 0.8732, prior_entropy: 0.9912, recall: 0.8732, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6758, scimark_benchmark: 1776.8916, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1183.3358, mean_absolute_error: 0.0832, 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: 0.1686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2634, scimark_benchmark: 1862.1139, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1274.1217, mean_absolute_error: 0.0418, 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: 0.0847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2092, scimark_benchmark: 1803.9601, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0254, 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: 1804.232, usercpu_time_millis: 1.149, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1267.8666, mean_absolute_error: 0.0441, 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: 0.0893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2247, scimark_benchmark: 1792.732, usercpu_time_millis: 11.382, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 10.801,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9111, kappa: 0.8194, kb_relative_information_score: 695.808, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9149, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6183, scimark_benchmark: 1722.595, usercpu_time_millis: 3.356, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.3536, mean_absolute_error: 0.0225, 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: 0.0456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1796, scimark_benchmark: 1720.4927, usercpu_time_millis: 4.671, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 4.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1311.7672, mean_absolute_error: 0.0256, 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: 0.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.1677, scimark_benchmark: 1736.3441, usercpu_time_millis: 3.999, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 3.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0552, 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: 1761.1445, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8618, kappa: 0.7209, kb_relative_information_score: 664.803, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8628, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6663, scimark_benchmark: 1731.5836, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1232.5097, mean_absolute_error: 0.0589, 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: 0.1193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2566, scimark_benchmark: 1876.9996, usercpu_time_millis: 1.922, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1324.3639, mean_absolute_error: 0.0202, 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: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1466, scimark_benchmark: 1705.6798, usercpu_time_millis: 3.562, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1288.903, mean_absolute_error: 0.0357, 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: 0.0722, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.1916, scimark_benchmark: 1849.8294, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 3.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9357, kappa: 0.8696, kb_relative_information_score: 1024.4515, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9362, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4627, scimark_benchmark: 1786.8008, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8815, kappa: 0.7595, kb_relative_information_score: 546.6503, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8823, predictive_accuracy: 0.8819, prior_entropy: 0.9912, recall: 0.8819, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7119, scimark_benchmark: 1792.3541, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9196, kappa: 0.837, kb_relative_information_score: 1032.0594, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9201, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4872, scimark_benchmark: 1804.9394, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1278.8906, mean_absolute_error: 0.0415, 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: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, scimark_benchmark: 1865.1205, usercpu_time_millis: 8.492, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 7.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1219.5054, mean_absolute_error: 0.0676, 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: 0.1369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2324, scimark_benchmark: 1866.6776, usercpu_time_millis: 8.056, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 7.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1317.5118, mean_absolute_error: 0.0217, 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: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.099, root_relative_squared_error: 0.1993, scimark_benchmark: 1754.4555, usercpu_time_millis: 7.885, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 7.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1058.758, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4346, scimark_benchmark: 1859.9421, usercpu_time_millis: 7.316, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 6.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1297.8816, mean_absolute_error: 0.0305, 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: 0.0617, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.209, scimark_benchmark: 1749.0072, usercpu_time_millis: 8.553, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 7.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.278, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1556, scimark_benchmark: 1856.6867, usercpu_time_millis: 7.852, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 7.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.893, kappa: 0.7828, kb_relative_information_score: 627.0127, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6628, scimark_benchmark: 1727.5667, usercpu_time_millis: 2.976, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 739.5212, mean_absolute_error: 0.248, 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: 0.5022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6897, scimark_benchmark: 1736.6871, usercpu_time_millis: 2.884, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1185.8667, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.298, scimark_benchmark: 1740.277, usercpu_time_millis: 6.504, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 5.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.9954, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1564, scimark_benchmark: 1748.4554, usercpu_time_millis: 6.026, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 5.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9782, kappa: 0.9558, kb_relative_information_score: 1115.8686, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9783, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3271, scimark_benchmark: 1727.2184, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1263.7215, mean_absolute_error: 0.0484, 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: 0.0981, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1874, scimark_benchmark: 1868.8974, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0945, 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: 1770.0866, usercpu_time_millis: 1.439, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 1174.232, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3351, scimark_benchmark: 1855.1969, usercpu_time_millis: 2.751, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1328.4994, mean_absolute_error: 0.0182, 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: 0.0368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.1507, scimark_benchmark: 1761.5892, usercpu_time_millis: 4.603, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 4.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1185.8857, mean_absolute_error: 0.0796, 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: 0.1612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.2852, scimark_benchmark: 1858.3969, usercpu_time_millis: 3.876, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1215.965, mean_absolute_error: 0.0671, 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: 0.1358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2582, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1242.7249, mean_absolute_error: 0.0551, 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: 0.1117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2411, scimark_benchmark: 1775.1225, usercpu_time_millis: 7.04, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 6.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1241.7966, mean_absolute_error: 0.058, 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: 0.1175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2095, scimark_benchmark: 1746.8897, usercpu_time_millis: 6.692, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 5.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1071.0033, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3975, scimark_benchmark: 1765.5765, usercpu_time_millis: 6.558, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 5.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1235.8804, mean_absolute_error: 0.0583, 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: 0.1181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462, scimark_benchmark: 1773.6918, usercpu_time_millis: 3.695, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 3.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1245.314, mean_absolute_error: 0.0542, 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: 0.1098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.237, scimark_benchmark: 1848.6852, usercpu_time_millis: 5.581, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 5.061,

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