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: 0.5154, f_measure: 0.6087, kappa: 0.2597, kb_relative_information_score: 178.2983, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7275, predictive_accuracy: 0.6589, prior_entropy: 0.9912, recall: 0.6589, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9413, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1274.4266, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2609, scimark_benchmark: 1874.9405, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7938, kappa: 0.5836, kb_relative_information_score: 654.4129, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8166, predictive_accuracy: 0.8003, prior_entropy: 0.9912, recall: 0.8003, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7075, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1326.7024, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1666, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.379, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0343, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.8869, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1729, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9132, kappa: 0.8241, kb_relative_information_score: 1032.087, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9132, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.4978, scimark_benchmark: 1876.7581, usercpu_time_millis: 15.567, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 15.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.3166, mean_absolute_error: 0.0198, 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: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.19, scimark_benchmark: 1907.0386, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8706, kappa: 0.7394, kb_relative_information_score: 933.955, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8733, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5864, scimark_benchmark: 1869.7037, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.79, kappa: 0.5739, kb_relative_information_score: 428.0638, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7993, predictive_accuracy: 0.7937, prior_entropy: 0.9912, recall: 0.7937, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8361, scimark_benchmark: 1873.9387, usercpu_time_millis: 5.365, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 5.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1364.6349, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0114, root_relative_squared_error: 0.0229, scimark_benchmark: 1866.9519, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.9804, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.188, scimark_benchmark: 1850.8215, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.1558, mean_absolute_error: 0.0265, 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: 0.0537, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.1964, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.793, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1701, scimark_benchmark: 1753.4131, usercpu_time_millis: 0.763, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1306.2838, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9852, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2382, scimark_benchmark: 1861.0549, usercpu_time_millis: 2.567, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.682, kappa: 0.365, kb_relative_information_score: 345.7959, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7162, predictive_accuracy: 0.699, prior_entropy: 0.9912, recall: 0.699, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8742, scimark_benchmark: 1757.4627, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9788, kappa: 0.957, kb_relative_information_score: 1213.9759, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9795, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.284, scimark_benchmark: 1773.448, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1319.6413, mean_absolute_error: 0.0207, 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: 0.0419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1763.4587, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.6165, kappa: 0.274, kb_relative_information_score: 186.7192, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7389, predictive_accuracy: 0.6655, prior_entropy: 0.9912, recall: 0.6655, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9377, scimark_benchmark: 1877.6841, usercpu_time_millis: 2.058, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7915, kappa: 0.5768, kb_relative_information_score: 671.5506, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7978, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7194, scimark_benchmark: 1874.5188, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9744, kappa: 0.9481, kb_relative_information_score: 1161.9527, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9755, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3342, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.1503, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1776, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.3915, mean_absolute_error: 0.0217, 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: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1871.3226, usercpu_time_millis: 1.844, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.774, kappa: 0.5418, kb_relative_information_score: 401.2934, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.784, predictive_accuracy: 0.7784, prior_entropy: 0.9912, recall: 0.7784, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8487, scimark_benchmark: 1877.6841, usercpu_time_millis: 2.037, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1320.2092, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.094, root_relative_squared_error: 0.1891, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.5642, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1712, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1356.5916, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.0675, scimark_benchmark: 1875.0498, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.8363, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882, scimark_benchmark: 1871.3226, usercpu_time_millis: 0.446, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9032, kappa: 0.8079, kb_relative_information_score: 1098.2368, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9204, predictive_accuracy: 0.9031, prior_entropy: 0.9912, recall: 0.9031, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5159, scimark_benchmark: 1865.4271, usercpu_time_millis: 4.116, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 4.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7869, kappa: 0.5677, kb_relative_information_score: 423.2016, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7965, predictive_accuracy: 0.7908, prior_entropy: 0.9912, recall: 0.7908, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8383, scimark_benchmark: 1883.1982, usercpu_time_millis: 3.029, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8532, kappa: 0.7069, kb_relative_information_score: 877.9229, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8634, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6541, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.47, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9592, kappa: 0.9175, kb_relative_information_score: 1234.4855, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3256, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.211, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.5825, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1764, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1337.082, mean_absolute_error: 0.0138, 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: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1573, scimark_benchmark: 1887.8491, usercpu_time_millis: 2.033, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1360.2566, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.023, root_relative_squared_error: 0.0464, scimark_benchmark: 1852.9259, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.6937, kappa: 0.3858, kb_relative_information_score: 393.0206, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7218, predictive_accuracy: 0.7077, prior_entropy: 0.9912, recall: 0.7077, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.853, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.848, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7892, kappa: 0.5723, kb_relative_information_score: 424.8182, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7987, predictive_accuracy: 0.793, prior_entropy: 0.9912, recall: 0.793, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8377, scimark_benchmark: 1867.2573, usercpu_time_millis: 3.479, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 3.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9629, kappa: 0.9254, kb_relative_information_score: 1184.4316, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9657, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3652, scimark_benchmark: 1870.0988, usercpu_time_millis: 1.449, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1317.7453, mean_absolute_error: 0.0208, 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: 0.0421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1929, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8766, kappa: 0.7496, kb_relative_information_score: 835.8614, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8768, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6212, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1317.7726, 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: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.1648, scimark_benchmark: 1846.2968, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1303.3207, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2238, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1299, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1805, scimark_benchmark: 1871.8506, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1321.4525, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1736, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7892, kappa: 0.5723, kb_relative_information_score: 425.6958, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7987, predictive_accuracy: 0.793, prior_entropy: 0.9912, recall: 0.793, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8374, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 3.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1362.9545, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0183, root_relative_squared_error: 0.0369, scimark_benchmark: 1869.7037, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9795, kappa: 0.9585, kb_relative_information_score: 1218.487, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2783, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.992, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7067, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0188, scimark_benchmark: 1880.5985, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7533, kappa: 0.5045, kb_relative_information_score: 606.5133, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7852, predictive_accuracy: 0.7638, prior_entropy: 0.9912, recall: 0.7638, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7375, scimark_benchmark: 1752.0621, usercpu_time_millis: 1.973, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.0847, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1776, scimark_benchmark: 1753.6457, usercpu_time_millis: 0.558, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1274.394, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2741, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1512, mean_absolute_error: 0.0189, 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: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.1799, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.7805, kappa: 0.5653, kb_relative_information_score: 695.7783, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8504, predictive_accuracy: 0.7952, prior_entropy: 0.9912, recall: 0.7952, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7638, scimark_benchmark: 1755.4264, usercpu_time_millis: 5.249, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 5.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1316.7919, mean_absolute_error: 0.0219, 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: 0.0444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9795, kappa: 0.9585, kb_relative_information_score: 1223.518, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.273, scimark_benchmark: 1754.4555, usercpu_time_millis: 5.039, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 5.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9556, kappa: 0.91, kb_relative_information_score: 1219.5495, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3429, scimark_benchmark: 1852.8165, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.3704, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0182, scimark_benchmark: 1753.3099, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8466, kappa: 0.6938, kb_relative_information_score: 859.0739, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8566, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647, scimark_benchmark: 1876.23, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9259, kappa: 0.8519, kb_relative_information_score: 933.8453, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9359, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5381, scimark_benchmark: 1871.473, usercpu_time_millis: 1.595, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8988, kappa: 0.7955, kb_relative_information_score: 1018.2089, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8993, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5204, scimark_benchmark: 1860.7303, usercpu_time_millis: 1.473, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6444, kappa: 0.331, kb_relative_information_score: 221.9616, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.802, predictive_accuracy: 0.6924, prior_entropy: 0.9912, recall: 0.6924, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9003, scimark_benchmark: 1865.4271, usercpu_time_millis: 4.695, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 4.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9073, kappa: 0.8122, kb_relative_information_score: 1012.8613, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.514, scimark_benchmark: 1874.5188, usercpu_time_millis: 9.828, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 9.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7911, kappa: 0.5986, kb_relative_information_score: 699.8648, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8431, predictive_accuracy: 0.7937, prior_entropy: 0.9912, recall: 0.7937, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6801, scimark_benchmark: 1867.1617, usercpu_time_millis: 5.414, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 5.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1256.8175, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2763, scimark_benchmark: 1872.6413, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 1345.7132, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1376, scimark_benchmark: 1877.289, usercpu_time_millis: 2.318, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1322.9256, mean_absolute_error: 0.0196, 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: 0.0396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1723, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.793, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.8615, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1701, scimark_benchmark: 1877.7472, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 427.2473, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1867.0876, usercpu_time_millis: 61.571, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 61.543,

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