OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9727, kappa: 0.8857, kb_relative_information_score: 2708.2683, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4308, scimark_benchmark: 2014.6575, usercpu_time_millis: 6590.058, usercpu_time_millis_testing: 2.95, usercpu_time_millis_training: 6587.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9722, kappa: 0.883, kb_relative_information_score: 2670.3035, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4334, scimark_benchmark: 1853.0716, usercpu_time_millis: 5660.449, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 5657.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9704, kappa: 0.8748, kb_relative_information_score: 2599.7953, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4376, scimark_benchmark: 1818.9456, usercpu_time_millis: 4709.791, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 4707.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9762, kappa: 0.9, kb_relative_information_score: 2616.3165, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4241, scimark_benchmark: 2020.8125, usercpu_time_millis: 3252.986, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 3251.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9703, kappa: 0.8747, kb_relative_information_score: 2409.1999, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4655, scimark_benchmark: 2023.3183, usercpu_time_millis: 1039.841, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 1038.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9677, kappa: 0.8647, kb_relative_information_score: 2385.18, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4688, scimark_benchmark: 1847.8034, usercpu_time_millis: 947.25, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 946.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9756, kappa: 0.8976, kb_relative_information_score: 2649.2302, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4172, scimark_benchmark: 1817.3885, usercpu_time_millis: 721.863, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 721.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9746, kappa: 0.8926, kb_relative_information_score: 2619.1184, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4124, scimark_benchmark: 1816.255, usercpu_time_millis: 708.462, usercpu_time_millis_testing: 1.982, usercpu_time_millis_training: 706.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9745, kappa: 0.893, kb_relative_information_score: 2707.4333, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4107, scimark_benchmark: 1858.6775, usercpu_time_millis: 680.79, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 679.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9606, kappa: 0.8365, kb_relative_information_score: 2239.6519, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4978, scimark_benchmark: 1850.8185, usercpu_time_millis: 628.041, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 626.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9639, kappa: 0.8494, kb_relative_information_score: 2284.4441, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4822, scimark_benchmark: 1831.5162, usercpu_time_millis: 438.384, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 436.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9645, kappa: 0.8487, kb_relative_information_score: 2459.913, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4707, scimark_benchmark: 1827.9533, usercpu_time_millis: 334.65, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 333.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9723, kappa: 0.8831, kb_relative_information_score: 2469.2472, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4453, scimark_benchmark: 1839.1303, usercpu_time_millis: 303.255, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 302.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9712, kappa: 0.8785, kb_relative_information_score: 2385.2664, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4585, scimark_benchmark: 1841.1577, usercpu_time_millis: 293.171, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 291.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2585.1613, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4403, scimark_benchmark: 1837.2011, usercpu_time_millis: 198.737, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 198.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9765, kappa: 0.9, kb_relative_information_score: 2503.1515, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4232, scimark_benchmark: 1857.5664, usercpu_time_millis: 133.263, usercpu_time_millis_testing: 2.559, usercpu_time_millis_training: 130.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9748, kappa: 0.8934, kb_relative_information_score: 2556.2168, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4243, scimark_benchmark: 1828.4115, usercpu_time_millis: 108.255, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 107.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9706, kappa: 0.8759, kb_relative_information_score: 2421.5424, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4583, scimark_benchmark: 1808.9842, usercpu_time_millis: 76.991, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 76.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9767, kappa: 0.9015, kb_relative_information_score: 2610.2722, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4053, scimark_benchmark: 1821.4764, usercpu_time_millis: 36.09, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 35.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9638, kappa: 0.8427, kb_relative_information_score: 2248.054, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.966, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4819, scimark_benchmark: 1815.2168, usercpu_time_millis: 34.735, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 33.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9727, kappa: 0.8859, kb_relative_information_score: 2697.2143, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9726, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4355, scimark_benchmark: 1206.2231, usercpu_time_millis: 12300.483, usercpu_time_millis_testing: 4.508, usercpu_time_millis_training: 12295.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9742, kappa: 0.8918, kb_relative_information_score: 2723.9045, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.4159, scimark_benchmark: 1215.4053, usercpu_time_millis: 3985.499, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 3981.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9739, kappa: 0.89, kb_relative_information_score: 2611.1266, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4277, scimark_benchmark: 1191.7605, usercpu_time_millis: 4304.212, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 4300.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9743, kappa: 0.8918, kb_relative_information_score: 2633.5261, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4184, scimark_benchmark: 1218.5973, usercpu_time_millis: 1862.79, usercpu_time_millis_testing: 1.932, usercpu_time_millis_training: 1860.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9577, kappa: 0.8258, kb_relative_information_score: 2270.4636, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5491, scimark_benchmark: 1212.2713, usercpu_time_millis: 10996.692, usercpu_time_millis_testing: 2.569, usercpu_time_millis_training: 10994.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9594, kappa: 0.8321, kb_relative_information_score: 2285.4099, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.5256, scimark_benchmark: 1212.5731, usercpu_time_millis: 4956.954, usercpu_time_millis_testing: 2.719, usercpu_time_millis_training: 4954.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9596, kappa: 0.8329, kb_relative_information_score: 2284.817, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5199, scimark_benchmark: 1210.6133, usercpu_time_millis: 1903.238, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 1901.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9621, kappa: 0.8435, kb_relative_information_score: 2213.9638, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9624, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5167, scimark_benchmark: 1218.6786, usercpu_time_millis: 11.3, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 10.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9696, kappa: 0.8719, kb_relative_information_score: 2505.2243, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4583, scimark_benchmark: 1221.1668, usercpu_time_millis: 3800.187, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 3798.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9727, kappa: 0.885, kb_relative_information_score: 2609.9416, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4299, scimark_benchmark: 1216.1157, usercpu_time_millis: 5323.554, usercpu_time_millis_testing: 2.264, usercpu_time_millis_training: 5321.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9765, kappa: 0.9008, kb_relative_information_score: 2632.7656, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4149, scimark_benchmark: 1200.7167, usercpu_time_millis: 128.27, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 127.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.974, kappa: 0.8904, kb_relative_information_score: 2634.4178, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4201, scimark_benchmark: 1213.5469, usercpu_time_millis: 4804.404, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 4800.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -9.7053, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1203.5511, usercpu_time_millis: 4.53, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 3.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9771, kappa: 0.9036, kb_relative_information_score: 2650.854, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9774, prior_entropy: 0.5848, recall: 0.9774, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4036, scimark_benchmark: 1214.8259, usercpu_time_millis: 145.872, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 144.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2284.5182, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.528, scimark_benchmark: 1219.1696, usercpu_time_millis: 2246.815, usercpu_time_millis_testing: 1.637, usercpu_time_millis_training: 2245.178,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9684, kappa: 0.8653, kb_relative_information_score: 2472.8804, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.456, scimark_benchmark: 1724.528, usercpu_time_millis: 55.599, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 54.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.5605, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1730.2773, usercpu_time_millis: 4.975, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 4.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2287.6362, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.183, root_relative_squared_error: 0.5274, scimark_benchmark: 2010.9174, usercpu_time_millis: 6749.293, usercpu_time_millis_testing: 2.194, usercpu_time_millis_training: 6747.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2606.7376, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4266, scimark_benchmark: 2013.3004, usercpu_time_millis: 2994.672, usercpu_time_millis_testing: 2.06, usercpu_time_millis_training: 2992.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9713, kappa: 0.8786, kb_relative_information_score: 2566.6277, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4333, scimark_benchmark: 1736.0929, usercpu_time_millis: 2381.311, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 2378.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9714, kappa: 0.8793, kb_relative_information_score: 2477.0432, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4469, scimark_benchmark: 1733.299, usercpu_time_millis: 2274.341, usercpu_time_millis_testing: 2.271, usercpu_time_millis_training: 2272.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9676, kappa: 0.8642, kb_relative_information_score: 2496.6233, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4939, scimark_benchmark: 1738.3274, usercpu_time_millis: 2046.453, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 2045.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9617, kappa: 0.8413, kb_relative_information_score: 2335.0942, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4814, scimark_benchmark: 2014.3856, usercpu_time_millis: 1613.591, usercpu_time_millis_testing: 1.863, usercpu_time_millis_training: 1611.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.975, kappa: 0.895, kb_relative_information_score: 2667.6357, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4131, scimark_benchmark: 1734.3333, usercpu_time_millis: 1379.433, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 1377.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9576, kappa: 0.8238, kb_relative_information_score: 2281.5383, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5239, scimark_benchmark: 1733.3606, usercpu_time_millis: 1308.938, usercpu_time_millis_testing: 1.821, usercpu_time_millis_training: 1307.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2482.9641, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.444, scimark_benchmark: 1735.1328, usercpu_time_millis: 1223.19, usercpu_time_millis_testing: 2.625, usercpu_time_millis_training: 1220.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9596, kappa: 0.8326, kb_relative_information_score: 2275.5896, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5073, scimark_benchmark: 1724.4675, usercpu_time_millis: 1155.258, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 1153.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.974, kappa: 0.8902, kb_relative_information_score: 2643.2185, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4108, scimark_benchmark: 1730.2561, usercpu_time_millis: 1084.267, usercpu_time_millis_testing: 2.26, usercpu_time_millis_training: 1082.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2577.5669, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4365, scimark_benchmark: 1715.5791, usercpu_time_millis: 1084.077, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 1082.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9712, kappa: 0.8785, kb_relative_information_score: 2433.7184, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.4505, scimark_benchmark: 1734.6706, usercpu_time_millis: 803.423, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 801.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9711, kappa: 0.8781, kb_relative_information_score: 2370.9606, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4633, scimark_benchmark: 1736.1564, usercpu_time_millis: 121.815, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 121.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9722, kappa: 0.882, kb_relative_information_score: 2262.7071, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4842, scimark_benchmark: 1728.8162, usercpu_time_millis: 92.435, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 91.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -4.7224, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1712.9561, usercpu_time_millis: 5.275, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 4.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9746, kappa: 0.893, kb_relative_information_score: 2661.8052, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4141, scimark_benchmark: 1824.9414, usercpu_time_millis: 5365.969, usercpu_time_millis_testing: 3.663, usercpu_time_millis_training: 5362.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9583, kappa: 0.8283, kb_relative_information_score: 2284.7306, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5337, scimark_benchmark: 1846.7639, usercpu_time_millis: 4903.744, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 4901.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2321.2714, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.503, scimark_benchmark: 2143.7295, usercpu_time_millis: 3680.39, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 3678.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9756, kappa: 0.8978, kb_relative_information_score: 2698.2406, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4123, scimark_benchmark: 1841.6688, usercpu_time_millis: 3021.243, usercpu_time_millis_testing: 2.528, usercpu_time_millis_training: 3018.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9712, kappa: 0.8788, kb_relative_information_score: 2393.9682, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4654, scimark_benchmark: 1846.3046, usercpu_time_millis: 2858.997, usercpu_time_millis_testing: 2.35, usercpu_time_millis_training: 2856.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2579.765, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.4329, scimark_benchmark: 1846.3057, usercpu_time_millis: 2639.184, usercpu_time_millis_testing: 2.743, usercpu_time_millis_training: 2636.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9765, kappa: 0.9014, kb_relative_information_score: 2681.4174, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.411, scimark_benchmark: 1824.3625, usercpu_time_millis: 2464.102, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 2462.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9736, kappa: 0.8897, kb_relative_information_score: 2710.663, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9735, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4274, scimark_benchmark: 1822.3902, usercpu_time_millis: 2323.586, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 2321.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2589.0865, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4324, scimark_benchmark: 1831.9368, usercpu_time_millis: 2029.388, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 2027.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9582, kappa: 0.8277, kb_relative_information_score: 2284.6549, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9586, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.5281, scimark_benchmark: 1847.2793, usercpu_time_millis: 1554.855, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 1553.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9737, kappa: 0.889, kb_relative_information_score: 2657.3692, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4201, scimark_benchmark: 1850.4554, usercpu_time_millis: 694.546, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 693.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9752, kappa: 0.8956, kb_relative_information_score: 2642.025, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.144, root_relative_squared_error: 0.415, scimark_benchmark: 1837.1955, usercpu_time_millis: 351.492, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 350.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9712, kappa: 0.8783, kb_relative_information_score: 2469.0536, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4522, scimark_benchmark: 1827.3635, usercpu_time_millis: 312.488, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 311.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9761, kappa: 0.8993, kb_relative_information_score: 2662.2444, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4053, scimark_benchmark: 1850.4554, usercpu_time_millis: 271.128, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 270.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.971, kappa: 0.8767, kb_relative_information_score: 2524.4628, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4401, scimark_benchmark: 1849.9303, usercpu_time_millis: 128.383, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 127.439,

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