OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29226.7733, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1265.3319, usercpu_time_millis: 231.885, usercpu_time_millis_testing: 9.658, usercpu_time_millis_training: 222.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29448.4879, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1276.7163, usercpu_time_millis: 506.19, usercpu_time_millis_testing: 4.755, usercpu_time_millis_training: 501.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 29061.9167, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3932, scimark_benchmark: 1275.9901, usercpu_time_millis: 140.224, usercpu_time_millis_testing: 4.697, usercpu_time_millis_training: 135.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28635.2288, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1259.5695, usercpu_time_millis: 210.482, usercpu_time_millis_testing: 7.835, usercpu_time_millis_training: 202.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29893.8772, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1269.637, usercpu_time_millis: 152.133, usercpu_time_millis_testing: 6.019, usercpu_time_millis_training: 146.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 28826.5643, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1261.4594, usercpu_time_millis: 422.782, usercpu_time_millis_testing: 7.619, usercpu_time_millis_training: 415.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9616, kappa: 0.9052, kb_relative_information_score: 26501.5851, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4078, scimark_benchmark: 1269.9797, usercpu_time_millis: 375.251, usercpu_time_millis_testing: 21.352, usercpu_time_millis_training: 353.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 28324.1749, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3994, scimark_benchmark: 1260.3784, usercpu_time_millis: 127.225, usercpu_time_millis_testing: 5.91, usercpu_time_millis_training: 121.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 29002.5262, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3811, scimark_benchmark: 1273.5083, usercpu_time_millis: 551.525, usercpu_time_millis_testing: 5.806, usercpu_time_millis_training: 545.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9615, kappa: 0.9056, kb_relative_information_score: 29027.2571, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1278.7241, usercpu_time_millis: 184.648, usercpu_time_millis_testing: 3.918, usercpu_time_millis_training: 180.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9586, kappa: 0.8983, kb_relative_information_score: 28268.5129, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1262.4176, usercpu_time_millis: 458.984, usercpu_time_millis_testing: 10.09, usercpu_time_millis_training: 448.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: 28440.7264, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1249.0418, usercpu_time_millis: 240.584, usercpu_time_millis_testing: 5.474, usercpu_time_millis_training: 235.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29680.4233, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.363, scimark_benchmark: 1279.6288, usercpu_time_millis: 618.511, usercpu_time_millis_testing: 4.858, usercpu_time_millis_training: 613.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29222.5594, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1262.7871, usercpu_time_millis: 759.026, usercpu_time_millis_testing: 11.282, usercpu_time_millis_training: 747.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29591.4931, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604, scimark_benchmark: 1260.4899, usercpu_time_millis: 531.582, usercpu_time_millis_testing: 7.081, usercpu_time_millis_training: 524.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 29333.0861, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552, scimark_benchmark: 1271.0051, usercpu_time_millis: 938.745, usercpu_time_millis_testing: 28.163, usercpu_time_millis_training: 910.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9307, kappa: 0.826, kb_relative_information_score: 19256.6424, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5791, scimark_benchmark: 1263.5755, usercpu_time_millis: 769.237, usercpu_time_millis_testing: 59.11, usercpu_time_millis_training: 710.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9306, kappa: 0.826, kb_relative_information_score: 19340.9226, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5774, scimark_benchmark: 1262.3197, usercpu_time_millis: 359.736, usercpu_time_millis_testing: 26.489, usercpu_time_millis_training: 333.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9291, kappa: 0.822, kb_relative_information_score: 19139.5899, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5817, scimark_benchmark: 1253.6111, usercpu_time_millis: 634.109, usercpu_time_millis_testing: 46.942, usercpu_time_millis_training: 587.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 30021.3214, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3508, scimark_benchmark: 1265.8563, usercpu_time_millis: 743.267, usercpu_time_millis_testing: 6.148, usercpu_time_millis_training: 737.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9561, kappa: 0.8922, kb_relative_information_score: 28137.6054, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1261.1466, usercpu_time_millis: 172.246, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 167.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29401.1568, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369, scimark_benchmark: 1260.9541, usercpu_time_millis: 923.349, usercpu_time_millis_testing: 6.823, usercpu_time_millis_training: 916.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29368.5042, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3592, scimark_benchmark: 1256.8865, usercpu_time_millis: 412.341, usercpu_time_millis_testing: 7.744, usercpu_time_millis_training: 404.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.953, kappa: 0.8836, kb_relative_information_score: 24802.9333, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4545, scimark_benchmark: 1274.7145, usercpu_time_millis: 467.158, usercpu_time_millis_testing: 34.698, usercpu_time_millis_training: 432.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 29873.5332, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.343, scimark_benchmark: 1255.7665, usercpu_time_millis: 786.165, usercpu_time_millis_testing: 12.414, usercpu_time_millis_training: 773.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9578, kappa: 0.8962, kb_relative_information_score: 28110.9634, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4048, scimark_benchmark: 1261.8148, usercpu_time_millis: 146.552, usercpu_time_millis_testing: 8.473, usercpu_time_millis_training: 138.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28556.8641, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877, scimark_benchmark: 1255.145, usercpu_time_millis: 918.239, usercpu_time_millis_testing: 25.238, usercpu_time_millis_training: 893.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28858.0051, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3862, scimark_benchmark: 1256.5276, usercpu_time_millis: 107.429, usercpu_time_millis_testing: 4.51, usercpu_time_millis_training: 102.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9569, kappa: 0.894, kb_relative_information_score: 28027.439, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.409, scimark_benchmark: 1264.6921, usercpu_time_millis: 423.339, usercpu_time_millis_testing: 8.565, usercpu_time_millis_training: 414.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9641, kappa: 0.9118, kb_relative_information_score: 29194.4094, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1271.0513, usercpu_time_millis: 395.264, usercpu_time_millis_testing: 7.687, usercpu_time_millis_training: 387.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 29033.0437, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1256.2406, usercpu_time_millis: 766.138, usercpu_time_millis_testing: 6.621, usercpu_time_millis_training: 759.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9554, kappa: 0.8897, kb_relative_information_score: 25293.8144, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4418, scimark_benchmark: 1251.9077, usercpu_time_millis: 902.3, usercpu_time_millis_testing: 65.577, usercpu_time_millis_training: 836.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28648.9869, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3887, scimark_benchmark: 1253.7681, usercpu_time_millis: 918.697, usercpu_time_millis_testing: 10.999, usercpu_time_millis_training: 907.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9592, kappa: 0.8997, kb_relative_information_score: 28367.1711, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.394, scimark_benchmark: 1265.1266, usercpu_time_millis: 517.046, usercpu_time_millis_testing: 15.832, usercpu_time_millis_training: 501.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9668, kappa: 0.9184, kb_relative_information_score: 29350.2993, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1248.9605, usercpu_time_millis: 498.788, usercpu_time_millis_testing: 16.359, usercpu_time_millis_training: 482.429,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29181.2831, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1272.646, usercpu_time_millis: 766.866, usercpu_time_millis_testing: 8.81, usercpu_time_millis_training: 758.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9426, kappa: 0.8593, kb_relative_information_score: 29094.7069, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.507, scimark_benchmark: 1256.3109, usercpu_time_millis: 84.182, usercpu_time_millis_testing: 3.982, usercpu_time_millis_training: 80.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9609, kappa: 0.9037, kb_relative_information_score: 27890.5218, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1255.412, usercpu_time_millis: 439.82, usercpu_time_millis_testing: 26.605, usercpu_time_millis_training: 413.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28130.809, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3915, scimark_benchmark: 1251.2964, usercpu_time_millis: 339.108, usercpu_time_millis_testing: 17.672, usercpu_time_millis_training: 321.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.961, kappa: 0.9042, kb_relative_information_score: 28736.6714, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1259.3735, usercpu_time_millis: 446.359, usercpu_time_millis_testing: 9.019, usercpu_time_millis_training: 437.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29687.5694, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3582, scimark_benchmark: 1265.4279, usercpu_time_millis: 591.196, usercpu_time_millis_testing: 6.434, usercpu_time_millis_training: 584.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29371.1933, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.3576, scimark_benchmark: 1257.7395, usercpu_time_millis: 380.597, usercpu_time_millis_testing: 10.068, usercpu_time_millis_training: 370.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 28133.1129, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3955, scimark_benchmark: 1251.9874, usercpu_time_millis: 386.385, usercpu_time_millis_testing: 18.855, usercpu_time_millis_training: 367.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9579, kappa: 0.8966, kb_relative_information_score: 28355.9096, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993, scimark_benchmark: 1259.7656, usercpu_time_millis: 547.075, usercpu_time_millis_testing: 9.709, usercpu_time_millis_training: 537.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 28322.22, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1266.3434, usercpu_time_millis: 622.481, usercpu_time_millis_testing: 29.432, usercpu_time_millis_training: 593.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 29248.0466, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568, scimark_benchmark: 1270.5377, usercpu_time_millis: 658.33, usercpu_time_millis_testing: 19.588, usercpu_time_millis_training: 638.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9595, kappa: 0.9003, kb_relative_information_score: 27870.5214, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3986, scimark_benchmark: 1257.6477, usercpu_time_millis: 811.349, usercpu_time_millis_testing: 41.082, usercpu_time_millis_training: 770.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29038.0649, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1273.3612, usercpu_time_millis: 1083.441, usercpu_time_millis_testing: 17.356, usercpu_time_millis_training: 1066.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28800.961, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3776, scimark_benchmark: 1258.1104, usercpu_time_millis: 1417.463, usercpu_time_millis_testing: 37.879, usercpu_time_millis_training: 1379.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 29271.0037, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567, scimark_benchmark: 1276.7708, usercpu_time_millis: 2754.78, usercpu_time_millis_testing: 66.32, usercpu_time_millis_training: 2688.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 28149.6147, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.395, scimark_benchmark: 1248.6885, usercpu_time_millis: 2089.972, usercpu_time_millis_testing: 86.963, usercpu_time_millis_training: 2003.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9628, kappa: 0.9085, kb_relative_information_score: 28881.81, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3781, scimark_benchmark: 1256.8079, usercpu_time_millis: 3814.43, usercpu_time_millis_testing: 53.656, usercpu_time_millis_training: 3760.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9642, kappa: 0.9119, kb_relative_information_score: 27881.7248, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3816, scimark_benchmark: 1275.7551, usercpu_time_millis: 436.941, usercpu_time_millis_testing: 23.059, usercpu_time_millis_training: 413.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9614, kappa: 0.9051, kb_relative_information_score: 28802.7437, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3853, scimark_benchmark: 1247.9626, usercpu_time_millis: 451.421, usercpu_time_millis_testing: 6.624, usercpu_time_millis_training: 444.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9348, kappa: 0.8396, kb_relative_information_score: 24539.5771, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1287.7676, usercpu_time_millis: 782.753, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 781.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9591, kappa: 0.8994, kb_relative_information_score: 28422.4835, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3958, scimark_benchmark: 1257.6199, usercpu_time_millis: 5454.045, usercpu_time_millis_testing: 53.234, usercpu_time_millis_training: 5400.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28816.8691, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1270.9223, usercpu_time_millis: 7735.221, usercpu_time_millis_testing: 59.807, usercpu_time_millis_training: 7675.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 28777.889, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1230.9954, usercpu_time_millis: 2631.064, usercpu_time_millis_testing: 30.359, usercpu_time_millis_training: 2600.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 28353.2042, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4252, scimark_benchmark: 1306.2196, usercpu_time_millis: 9099.397, usercpu_time_millis_testing: 65.845, usercpu_time_millis_training: 9033.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29199.8754, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.372, scimark_benchmark: 1273.3921, usercpu_time_millis: 7953.552, usercpu_time_millis_testing: 34.278, usercpu_time_millis_training: 7919.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9552, kappa: 0.8899, kb_relative_information_score: 28947.2888, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1326.7502, usercpu_time_millis: 9316.426, usercpu_time_millis_testing: 90.386, usercpu_time_millis_training: 9226.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9381, kappa: 0.848, kb_relative_information_score: 26255.0808, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4729, scimark_benchmark: 1289.3416, usercpu_time_millis: 3437.327, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 3436.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.948, kappa: 0.8724, kb_relative_information_score: 28269.2568, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1321.3759, usercpu_time_millis: 9608.386, usercpu_time_millis_testing: 77.405, usercpu_time_millis_training: 9530.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9117, kappa: 0.7796, kb_relative_information_score: 16591.6002, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.913, predictive_accuracy: 0.9136, prior_entropy: 0.863, recall: 0.9136, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.629, scimark_benchmark: 1280.9709, usercpu_time_millis: 3560.063, usercpu_time_millis_testing: 7.105, usercpu_time_millis_training: 3552.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 29248.9934, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1319.5561, usercpu_time_millis: 10233.797, usercpu_time_millis_testing: 90.433, usercpu_time_millis_training: 10143.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9453, kappa: 0.8658, kb_relative_information_score: 27767.5131, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1313.8516, usercpu_time_millis: 10394.446, usercpu_time_millis_testing: 103.073, usercpu_time_millis_training: 10291.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29887.6354, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3572, scimark_benchmark: 1286.6815, usercpu_time_millis: 4313.374, usercpu_time_millis_testing: 17.358, usercpu_time_millis_training: 4296.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9395, kappa: 0.8507, kb_relative_information_score: 24175.9149, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4855, scimark_benchmark: 1271.0502, usercpu_time_millis: 4351.686, usercpu_time_millis_testing: 25.131, usercpu_time_millis_training: 4326.555,

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