OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1792.5663, usercpu_time_millis: 104.033, usercpu_time_millis_testing: 103.43, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1843.1989, usercpu_time_millis: 85.517, usercpu_time_millis_testing: 84.884, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1849.8294, usercpu_time_millis: 80.279, usercpu_time_millis_testing: 79.693, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1731.9625, usercpu_time_millis: 107.791, usercpu_time_millis_testing: 107.174, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1822.3911, usercpu_time_millis: 98.432, usercpu_time_millis_testing: 97.817, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1827.587, usercpu_time_millis: 95.901, usercpu_time_millis_testing: 95.298, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1835.5512, usercpu_time_millis: 100.795, usercpu_time_millis_testing: 100.187, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1818.9456, usercpu_time_millis: 100.278, usercpu_time_millis_testing: 99.674, usercpu_time_millis_training: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1736.8063, usercpu_time_millis: 111.501, usercpu_time_millis_testing: 110.892, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1736.8692, usercpu_time_millis: 92.729, usercpu_time_millis_testing: 92.12, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1811.2122, usercpu_time_millis: 90.13, usercpu_time_millis_testing: 89.55, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1807.3194, usercpu_time_millis: 91.893, usercpu_time_millis_testing: 91.317, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1424.4993, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8097, scimark_benchmark: 1826.8288, usercpu_time_millis: 102.967, usercpu_time_millis_testing: 102.367, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1821.8602, usercpu_time_millis: 100.99, usercpu_time_millis_testing: 100.395, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1853.9121, usercpu_time_millis: 85.674, usercpu_time_millis_testing: 85.108, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1855.4813, usercpu_time_millis: 79.362, usercpu_time_millis_testing: 78.776, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1809.695, usercpu_time_millis: 91.944, usercpu_time_millis_testing: 91.336, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1827.1289, usercpu_time_millis: 98.55, usercpu_time_millis_testing: 97.949, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1839.5885, usercpu_time_millis: 99.696, usercpu_time_millis_testing: 99.102, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1835.621, usercpu_time_millis: 97.49, usercpu_time_millis_testing: 96.882, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1854.4431, usercpu_time_millis: 86.742, usercpu_time_millis_testing: 86.177, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1832.5979, usercpu_time_millis: 101.69, usercpu_time_millis_testing: 100.905, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1809.2599, usercpu_time_millis: 92.184, usercpu_time_millis_testing: 91.573, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1843.1261, usercpu_time_millis: 101.426, usercpu_time_millis_testing: 100.644, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1807.6907, usercpu_time_millis: 94.002, usercpu_time_millis_testing: 93.426, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1832.5979, usercpu_time_millis: 105.942, usercpu_time_millis_testing: 105.33, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1837.6484, usercpu_time_millis: 105.941, usercpu_time_millis_testing: 105.339, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1731.9625, usercpu_time_millis: 113.054, usercpu_time_millis_testing: 112.433, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1849.3754, usercpu_time_millis: 87.354, usercpu_time_millis_testing: 86.764, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1843.1261, usercpu_time_millis: 107.925, usercpu_time_millis_testing: 107.342, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1832.1397, usercpu_time_millis: 102.237, usercpu_time_millis_testing: 101.641, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1839.1303, usercpu_time_millis: 107.744, usercpu_time_millis_testing: 107.16, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1829.217, usercpu_time_millis: 100.056, usercpu_time_millis_testing: 99.282, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1741.4453, usercpu_time_millis: 99.071, usercpu_time_millis_testing: 98.484, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1839.5885, usercpu_time_millis: 108.785, usercpu_time_millis_testing: 108.195, usercpu_time_millis_training: 0.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1854.4431, usercpu_time_millis: 91.544, usercpu_time_millis_testing: 90.958, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1836.0792, usercpu_time_millis: 96.038, usercpu_time_millis_testing: 95.443, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1846.6923, usercpu_time_millis: 102.905, usercpu_time_millis_testing: 102.285, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7628, kappa: 0.5215, kb_relative_information_score: 1435.2201, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7636, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8096, scimark_benchmark: 1842.6679, usercpu_time_millis: 98.782, usercpu_time_millis_testing: 98.176, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1854.9533, usercpu_time_millis: 99.836, usercpu_time_millis_testing: 99.239, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1738.6549, usercpu_time_millis: 106.338, usercpu_time_millis_testing: 105.724, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1366.6275, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8117, scimark_benchmark: 1839.5885, usercpu_time_millis: 101.597, usercpu_time_millis_testing: 100.991, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1839.5885, usercpu_time_millis: 101.994, usercpu_time_millis_testing: 101.383, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1835.093, usercpu_time_millis: 97.375, usercpu_time_millis_testing: 96.776, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1855.0232, usercpu_time_millis: 92.158, usercpu_time_millis_testing: 91.554, usercpu_time_millis_training: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1847.2233, usercpu_time_millis: 89.281, usercpu_time_millis_testing: 88.688, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1850.2875, usercpu_time_millis: 80.279, usercpu_time_millis_testing: 79.691, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1833.7089, usercpu_time_millis: 99.313, usercpu_time_millis_testing: 98.546, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1834.4356, usercpu_time_millis: 86.768, usercpu_time_millis_testing: 86.183, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1855.5541, usercpu_time_millis: 96.266, usercpu_time_millis_testing: 95.677, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1846.1643, usercpu_time_millis: 95.056, usercpu_time_millis_testing: 94.446, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1850.3603, usercpu_time_millis: 102.128, usercpu_time_millis_testing: 101.52, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1851.3986, usercpu_time_millis: 94.765, usercpu_time_millis_testing: 94.161, usercpu_time_millis_training: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1850.2875, usercpu_time_millis: 80.178, usercpu_time_millis_testing: 79.59, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1850.2875, usercpu_time_millis: 97.552, usercpu_time_millis_testing: 96.968, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1842.2127, usercpu_time_millis: 96.715, usercpu_time_millis_testing: 96.112, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1818.4176, usercpu_time_millis: 89.846, usercpu_time_millis_testing: 89.257, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1836.0792, usercpu_time_millis: 90.73, usercpu_time_millis_testing: 90.123, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1816.9303, usercpu_time_millis: 88.951, usercpu_time_millis_testing: 88.354, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1851.3986, usercpu_time_millis: 96.434, usercpu_time_millis_testing: 95.831, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1849.8294, usercpu_time_millis: 104.531, usercpu_time_millis_testing: 103.924, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1820.7612, usercpu_time_millis: 88.579, usercpu_time_millis_testing: 87.989, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1850.3603, usercpu_time_millis: 94.099, usercpu_time_millis_testing: 93.51, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1849.8294, usercpu_time_millis: 104.127, usercpu_time_millis_testing: 103.542, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1825.7178, usercpu_time_millis: 101.925, usercpu_time_millis_testing: 101.322, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1825.7178, usercpu_time_millis: 89.604, usercpu_time_millis_testing: 89.016, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1853.3841, usercpu_time_millis: 97.919, usercpu_time_millis_testing: 97.31, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1839.5885, usercpu_time_millis: 100.151, usercpu_time_millis_testing: 99.551, usercpu_time_millis_training: 0.6,

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