OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9466, kappa: 0.3758, kb_relative_information_score: 258.9605, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9559, predictive_accuracy: 0.958, prior_entropy: 0.3037, recall: 0.958, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.7727, scimark_benchmark: 1296.4892, usercpu_time_millis: 89.905, usercpu_time_millis_testing: 6.772, usercpu_time_millis_training: 83.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9775, kappa: 0.7675, kb_relative_information_score: 2199.5932, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.5562, scimark_benchmark: 1298.8849, usercpu_time_millis: 113.648, usercpu_time_millis_testing: 7.174, usercpu_time_millis_training: 106.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9719, kappa: 0.6985, kb_relative_information_score: 2354.8297, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5769, scimark_benchmark: 1281.6053, usercpu_time_millis: 95.236, usercpu_time_millis_testing: 7.466, usercpu_time_millis_training: 87.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9836, kappa: 0.8342, kb_relative_information_score: 3001.2491, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4839, scimark_benchmark: 1285.6472, usercpu_time_millis: 94.395, usercpu_time_millis_testing: 4.151, usercpu_time_millis_training: 90.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9674, kappa: 0.6492, kb_relative_information_score: 1034.4315, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.6972, scimark_benchmark: 1285.4446, usercpu_time_millis: 90.89, usercpu_time_millis_testing: 8.546, usercpu_time_millis_training: 82.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9762, kappa: 0.7515, kb_relative_information_score: 2191.3841, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9768, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5518, scimark_benchmark: 1294.9877, usercpu_time_millis: 13.29, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 12.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9763, kappa: 0.7488, kb_relative_information_score: 2222.0062, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5611, scimark_benchmark: 1296.4706, usercpu_time_millis: 171.064, usercpu_time_millis_testing: 10.024, usercpu_time_millis_training: 161.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9694, kappa: 0.672, kb_relative_information_score: 1786.5601, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.609, scimark_benchmark: 1300.1871, usercpu_time_millis: 42.233, usercpu_time_millis_testing: 2.498, usercpu_time_millis_training: 39.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3131.3079, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4775, scimark_benchmark: 1275.6698, usercpu_time_millis: 259.892, usercpu_time_millis_testing: 8.276, usercpu_time_millis_training: 251.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9838, kappa: 0.836, kb_relative_information_score: 2923.969, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4824, scimark_benchmark: 1300.0945, usercpu_time_millis: 79.363, usercpu_time_millis_testing: 2.907, usercpu_time_millis_training: 76.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9477, kappa: 0.3856, kb_relative_information_score: 311.0162, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9612, predictive_accuracy: 0.9595, prior_entropy: 0.3037, recall: 0.9595, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.7537, scimark_benchmark: 1267.6854, usercpu_time_millis: 77.667, usercpu_time_millis_testing: 7.323, usercpu_time_millis_training: 70.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9829, kappa: 0.8309, kb_relative_information_score: 3319.3999, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.5214, scimark_benchmark: 1278.7407, usercpu_time_millis: 243.304, usercpu_time_millis_testing: 7.29, usercpu_time_millis_training: 236.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9701, kappa: 0.692, kb_relative_information_score: 1896.8129, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6117, scimark_benchmark: 1297.7515, usercpu_time_millis: 108.247, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 103.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.959, kappa: 0.536, kb_relative_information_score: 1014.1334, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9655, predictive_accuracy: 0.9659, prior_entropy: 0.3037, recall: 0.9659, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.703, scimark_benchmark: 1299.183, usercpu_time_millis: 72.314, usercpu_time_millis_testing: 6.625, usercpu_time_millis_training: 65.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9783, kappa: 0.7808, kb_relative_information_score: 2230.9341, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5516, scimark_benchmark: 1287.6096, usercpu_time_millis: 158.559, usercpu_time_millis_testing: 7.536, usercpu_time_millis_training: 151.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 1231.683, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6842, scimark_benchmark: 1298.0707, usercpu_time_millis: 117.591, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 112.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9679, kappa: 0.6469, kb_relative_information_score: 1946.269, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.6146, scimark_benchmark: 1299.5748, usercpu_time_millis: 123.444, usercpu_time_millis_testing: 10.843, usercpu_time_millis_training: 112.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9818, kappa: 0.8138, kb_relative_information_score: 2539.8459, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.5195, scimark_benchmark: 1286.9204, usercpu_time_millis: 203.886, usercpu_time_millis_testing: 9.438, usercpu_time_millis_training: 194.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9841, kappa: 0.8397, kb_relative_information_score: 3106.3154, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.481, scimark_benchmark: 1284.0841, usercpu_time_millis: 93.821, usercpu_time_millis_testing: 5.166, usercpu_time_millis_training: 88.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9673, kappa: 0.6416, kb_relative_information_score: 1605.8942, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.6335, scimark_benchmark: 1275.5414, usercpu_time_millis: 53.96, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 50.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9198, kb_relative_information_score: -297.5352, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.187, root_relative_squared_error: 0.8278, scimark_benchmark: 1269.0391, usercpu_time_millis: 50.594, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 47.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.965, kappa: 0.6117, kb_relative_information_score: 1618.995, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.6378, scimark_benchmark: 1288.228, usercpu_time_millis: 92.988, usercpu_time_millis_testing: 7.235, usercpu_time_millis_training: 85.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9849, kappa: 0.8499, kb_relative_information_score: 3199.5532, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4807, scimark_benchmark: 1296.1546, usercpu_time_millis: 79.111, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 75.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.98, kappa: 0.7914, kb_relative_information_score: 2644.4256, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.5292, scimark_benchmark: 1278.0588, usercpu_time_millis: 74.649, usercpu_time_millis_testing: 4.746, usercpu_time_millis_training: 69.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9692, kappa: 0.6761, kb_relative_information_score: 1614.376, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6367, scimark_benchmark: 1288.4133, usercpu_time_millis: 71.083, usercpu_time_millis_testing: 3.861, usercpu_time_millis_training: 67.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9698, kappa: 0.673, kb_relative_information_score: 1454.8432, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9721, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.6455, scimark_benchmark: 1299.1404, usercpu_time_millis: 6.545, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 6.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9799, kappa: 0.7912, kb_relative_information_score: 2698.4038, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.5183, scimark_benchmark: 1294.9218, usercpu_time_millis: 86.71, usercpu_time_millis_testing: 5.371, usercpu_time_millis_training: 81.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9198, kb_relative_information_score: -2401.522, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9758, scimark_benchmark: 1261.3294, usercpu_time_millis: 11.509, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 10.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9819, kappa: 0.8159, kb_relative_information_score: 3031.7781, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4994, scimark_benchmark: 1270.9694, usercpu_time_millis: 184.79, usercpu_time_millis_testing: 9.052, usercpu_time_millis_training: 175.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9652, kappa: 0.6134, kb_relative_information_score: 1851.0439, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.6399, scimark_benchmark: 1268.3347, usercpu_time_millis: 20.595, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 18.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9711, kappa: 0.6966, kb_relative_information_score: 1442.2546, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.6319, scimark_benchmark: 1283.3118, usercpu_time_millis: 9.81, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 9.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9814, kappa: 0.8184, kb_relative_information_score: 2835.8603, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.119, root_relative_squared_error: 0.5269, scimark_benchmark: 1280.244, usercpu_time_millis: 266.705, usercpu_time_millis_testing: 7.997, usercpu_time_millis_training: 258.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9198, kb_relative_information_score: -3000.825, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.9301, scimark_benchmark: 1298.1188, usercpu_time_millis: 34.573, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 32.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9821, kappa: 0.8195, kb_relative_information_score: 2536.7141, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.5243, scimark_benchmark: 1277.0818, usercpu_time_millis: 25.951, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 24.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9747, kappa: 0.754, kb_relative_information_score: 2017.3692, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.637, scimark_benchmark: 1295.1756, usercpu_time_millis: 57.296, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 54.544,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3241.6374, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.4868, scimark_benchmark: 1281.9123, usercpu_time_millis: 193.858, usercpu_time_millis_testing: 7.734, usercpu_time_millis_training: 186.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9848, kappa: 0.8487, kb_relative_information_score: 3197.946, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4812, scimark_benchmark: 1279.8645, usercpu_time_millis: 95.449, usercpu_time_millis_testing: 4.015, usercpu_time_millis_training: 91.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9713, kappa: 0.6885, kb_relative_information_score: 2228.93, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9742, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5941, scimark_benchmark: 1285.8846, usercpu_time_millis: 28.058, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 25.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9658, kappa: 0.6277, kb_relative_information_score: 895.3666, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.7147, scimark_benchmark: 1292.1089, usercpu_time_millis: 27.831, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 26.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9437, kappa: 0.333, kb_relative_information_score: 360.5425, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9574, predictive_accuracy: 0.957, prior_entropy: 0.3037, recall: 0.957, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.7673, scimark_benchmark: 1276.9898, usercpu_time_millis: 15.082, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 13.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9198, kb_relative_information_score: -1559.7605, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9514, scimark_benchmark: 1297.6013, usercpu_time_millis: 35.119, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 31.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9829, kappa: 0.8274, kb_relative_information_score: 2876.6949, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4941, scimark_benchmark: 1293.0284, usercpu_time_millis: 51.989, usercpu_time_millis_testing: 2.54, usercpu_time_millis_training: 49.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9814, kappa: 0.8154, kb_relative_information_score: 2556.0724, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5413, scimark_benchmark: 1268.3886, usercpu_time_millis: 6.434, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 6.204,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9233, kappa: 0.0496, kb_relative_information_score: 49.163, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9503, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.177, root_relative_squared_error: 0.7837, scimark_benchmark: 1276.9942, usercpu_time_millis: 75.356, usercpu_time_millis_testing: 4.544, usercpu_time_millis_training: 70.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9759, kappa: 0.7437, kb_relative_information_score: 2308.7457, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9776, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5585, scimark_benchmark: 1298.0704, usercpu_time_millis: 67.037, usercpu_time_millis_testing: 5.105, usercpu_time_millis_training: 61.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9776, kappa: 0.7633, kb_relative_information_score: 2538.4443, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.5459, scimark_benchmark: 1266.4773, usercpu_time_millis: 92.6, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 85.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9784, kappa: 0.7863, kb_relative_information_score: 2326.9015, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9782, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5585, scimark_benchmark: 1283.6934, usercpu_time_millis: 211.568, usercpu_time_millis_testing: 8.231, usercpu_time_millis_training: 203.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.982, kappa: 0.8167, kb_relative_information_score: 2775.8984, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4986, scimark_benchmark: 1280.4205, usercpu_time_millis: 51.221, usercpu_time_millis_testing: 2.54, usercpu_time_millis_training: 48.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9682, kappa: 0.6548, kb_relative_information_score: 1408.8206, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.6503, scimark_benchmark: 1286.3759, usercpu_time_millis: 88.058, usercpu_time_millis_testing: 5.582, usercpu_time_millis_training: 82.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.967, kappa: 0.6381, kb_relative_information_score: 1710.2947, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9705, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.6244, scimark_benchmark: 1285.5592, usercpu_time_millis: 36.793, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 34.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9698, kappa: 0.6791, kb_relative_information_score: 1841.7941, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.136, root_relative_squared_error: 0.6021, scimark_benchmark: 1280.6018, usercpu_time_millis: 72.321, usercpu_time_millis_testing: 3.994, usercpu_time_millis_training: 68.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9815, kappa: 0.8104, kb_relative_information_score: 2936.4772, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4983, scimark_benchmark: 1298.774, usercpu_time_millis: 160.565, usercpu_time_millis_testing: 8.318, usercpu_time_millis_training: 152.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9712, kappa: 0.7007, kb_relative_information_score: 1817.5471, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6078, scimark_benchmark: 1279.4219, usercpu_time_millis: 45.414, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 43.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9842, kappa: 0.8427, kb_relative_information_score: 3093.2227, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4773, scimark_benchmark: 1293.8298, usercpu_time_millis: 75.862, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 72.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9822, kappa: 0.8215, kb_relative_information_score: 2397.9055, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.5405, scimark_benchmark: 1296.7381, usercpu_time_millis: 27.073, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 25.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9835, kappa: 0.8349, kb_relative_information_score: 2880.0944, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4955, scimark_benchmark: 1278.325, usercpu_time_millis: 9.886, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 9.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9683, kappa: 0.6692, kb_relative_information_score: 936.2285, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.7249, scimark_benchmark: 1283.1706, usercpu_time_millis: 110.807, usercpu_time_millis_testing: 5.696, usercpu_time_millis_training: 105.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9692, kappa: 0.6636, kb_relative_information_score: 1937.2129, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6023, scimark_benchmark: 1272.11, usercpu_time_millis: 181.987, usercpu_time_millis_testing: 11.239, usercpu_time_millis_training: 170.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9702, kappa: 0.6825, kb_relative_information_score: 1358.5566, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6507, scimark_benchmark: 1298.3939, usercpu_time_millis: 23.136, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 21.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9806, kappa: 0.7999, kb_relative_information_score: 2392.5036, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5366, scimark_benchmark: 1267.7392, usercpu_time_millis: 105.258, usercpu_time_millis_testing: 5.102, usercpu_time_millis_training: 100.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9198, kb_relative_information_score: -1822.2191, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.9132, scimark_benchmark: 1294.6364, usercpu_time_millis: 20.089, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 18.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9706, kappa: 0.686, kb_relative_information_score: 1693.0769, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.6142, scimark_benchmark: 1288.7523, usercpu_time_millis: 61.778, usercpu_time_millis_testing: 3.76, usercpu_time_millis_training: 58.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9685, kappa: 0.6537, kb_relative_information_score: 1982.1631, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6108, scimark_benchmark: 1273.2863, usercpu_time_millis: 12.581, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 11.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9819, kappa: 0.8159, kb_relative_information_score: 3037.1736, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4986, scimark_benchmark: 1284.117, usercpu_time_millis: 174.377, usercpu_time_millis_testing: 9.29, usercpu_time_millis_training: 165.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9705, kappa: 0.6911, kb_relative_information_score: 1342.2053, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6446, scimark_benchmark: 1281.959, usercpu_time_millis: 32.778, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 31.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3182.6946, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4937, scimark_benchmark: 1297.0562, usercpu_time_millis: 53.14, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 51.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2725.7726, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.5122, scimark_benchmark: 1283.6973, usercpu_time_millis: 7.778, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 7.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9617, kappa: 0.5714, kb_relative_information_score: 975.1843, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9667, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7014, scimark_benchmark: 1271.8123, usercpu_time_millis: 86.58, usercpu_time_millis_testing: 7.456, usercpu_time_millis_training: 79.124,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs