OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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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: 1749.4345, usercpu_time_millis: 105.218, usercpu_time_millis_testing: 104.617, usercpu_time_millis_training: 0.601,
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: 1853.9121, usercpu_time_millis: 83.123, usercpu_time_millis_testing: 82.56, usercpu_time_millis_training: 0.563,
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: 1846.6923, usercpu_time_millis: 87.328, usercpu_time_millis_testing: 86.757, usercpu_time_millis_training: 0.571,
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: 1738.7921, usercpu_time_millis: 99.295, usercpu_time_millis_testing: 98.667, usercpu_time_millis_training: 0.628,
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: 1853.454, usercpu_time_millis: 99.183, usercpu_time_millis_testing: 98.575, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7623, kappa: 0.5204, kb_relative_information_score: 1414.0915, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.81, scimark_benchmark: 1730.3001, usercpu_time_millis: 102.595, usercpu_time_millis_testing: 102.011, usercpu_time_millis_training: 0.584,
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: 1857.5664, usercpu_time_millis: 98.827, usercpu_time_millis_testing: 98.229, usercpu_time_millis_training: 0.598,
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: 1855.0232, usercpu_time_millis: 89.99, usercpu_time_millis_testing: 89.402, usercpu_time_millis_training: 0.588,
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: 1728.4686, usercpu_time_millis: 101.187, usercpu_time_millis_testing: 100.599, 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: 1794.6161, usercpu_time_millis: 94.323, usercpu_time_millis_testing: 93.768, usercpu_time_millis_training: 0.555,
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: 1854.4431, usercpu_time_millis: 88.257, usercpu_time_millis_testing: 87.679, usercpu_time_millis_training: 0.578,
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: 1731.5003, usercpu_time_millis: 96.722, usercpu_time_millis_testing: 96.124, usercpu_time_millis_training: 0.598,
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: 1853.3841, usercpu_time_millis: 87.304, usercpu_time_millis_testing: 86.73, usercpu_time_millis_training: 0.574,
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: 1853.9121, usercpu_time_millis: 98.287, usercpu_time_millis_testing: 97.722, usercpu_time_millis_training: 0.565,
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: 1853.454, usercpu_time_millis: 84.742, usercpu_time_millis_testing: 84.169, usercpu_time_millis_training: 0.573,
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: 1853.454, usercpu_time_millis: 96.568, usercpu_time_millis_testing: 95.979, usercpu_time_millis_training: 0.589,
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: 1843.1261, usercpu_time_millis: 83.761, usercpu_time_millis_testing: 83.198, usercpu_time_millis_training: 0.563,
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: 1812.7511, usercpu_time_millis: 85.648, usercpu_time_millis_testing: 85.084, usercpu_time_millis_training: 0.564,
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: 1817.0137, usercpu_time_millis: 84.881, usercpu_time_millis_testing: 84.318, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1469.4768, mean_absolute_error: 0.3148, 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: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1752.2066, usercpu_time_millis: 100.954, usercpu_time_millis_testing: 100.37, 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: 1798.3662, usercpu_time_millis: 90.965, usercpu_time_millis_testing: 90.257, usercpu_time_millis_training: 0.708,
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: 1961.7381, usercpu_time_millis: 93.625, usercpu_time_millis_testing: 93.081, usercpu_time_millis_training: 0.544,
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: 1794.5414, usercpu_time_millis: 92.492, usercpu_time_millis_testing: 91.754, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1469.4768, mean_absolute_error: 0.3148, 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: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1749.8472, usercpu_time_millis: 99.739, usercpu_time_millis_testing: 99.154, usercpu_time_millis_training: 0.585,
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: 1854.568, usercpu_time_millis: 82.857, usercpu_time_millis_testing: 82.291, usercpu_time_millis_training: 0.566,
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: 1796.849, usercpu_time_millis: 87.11, usercpu_time_millis_testing: 86.55, usercpu_time_millis_training: 0.56,
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: 1733.3606, usercpu_time_millis: 93.612, usercpu_time_millis_testing: 93.01, usercpu_time_millis_training: 0.602,
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: 1808.4555, usercpu_time_millis: 81.467, usercpu_time_millis_testing: 80.907, usercpu_time_millis_training: 0.56,
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: 1789.3693, usercpu_time_millis: 87.449, usercpu_time_millis_testing: 86.859, usercpu_time_millis_training: 0.59,
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: 1847.7335, usercpu_time_millis: 77.145, usercpu_time_millis_testing: 76.575, usercpu_time_millis_training: 0.57,
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: 1789.7127, usercpu_time_millis: 89.06, usercpu_time_millis_testing: 88.481, usercpu_time_millis_training: 0.579,
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: 1845.1169, usercpu_time_millis: 78.182, usercpu_time_millis_testing: 77.61, usercpu_time_millis_training: 0.572,
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: 1855.4813, usercpu_time_millis: 82.478, usercpu_time_millis_testing: 81.902, usercpu_time_millis_training: 0.576,
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: 1793.2516, usercpu_time_millis: 88.858, usercpu_time_millis_testing: 88.277, usercpu_time_millis_training: 0.581,
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: 1851.8567, usercpu_time_millis: 90.625, usercpu_time_millis_testing: 89.902, usercpu_time_millis_training: 0.723,
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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: 1959.2118, usercpu_time_millis: 80.239, usercpu_time_millis_testing: 79.701, usercpu_time_millis_training: 0.538,
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: 1857.5664, usercpu_time_millis: 79.51, usercpu_time_millis_testing: 78.95, usercpu_time_millis_training: 0.56,
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: 1949.5648, usercpu_time_millis: 73.635, usercpu_time_millis_testing: 73.096, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 2014.6692, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1829.0949, usercpu_time_millis: 8294.052, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 8291.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7831, kappa: 0.5624, kb_relative_information_score: 1308.7332, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.804, scimark_benchmark: 1847.4809, usercpu_time_millis: 5666.386, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 5664.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1812.8825, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.745, scimark_benchmark: 1826.9332, usercpu_time_millis: 6838.272, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 6836.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.808, kappa: 0.6128, kb_relative_information_score: 1943.4671, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7447, scimark_benchmark: 1736.0929, usercpu_time_millis: 6965.745, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 6963.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8061, kappa: 0.609, kb_relative_information_score: 2147.6695, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7763, scimark_benchmark: 1853.9383, usercpu_time_millis: 8088.004, usercpu_time_millis_testing: 2.628, usercpu_time_millis_training: 8085.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7793, kappa: 0.5548, kb_relative_information_score: 1320.7332, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1713.6083, usercpu_time_millis: 3132.581, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 3131.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1990.302, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8184, scimark_benchmark: 1704.8099, usercpu_time_millis: 2847.266, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 2846.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.804, kappa: 0.6047, kb_relative_information_score: 2079.8424, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1810.3569, usercpu_time_millis: 3887.205, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 3885.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8032, kappa: 0.6032, kb_relative_information_score: 2113.9514, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8033, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1840.7617, usercpu_time_millis: 4855.561, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 4853.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7934, kappa: 0.5831, kb_relative_information_score: 1449.3224, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.779, scimark_benchmark: 1745.0121, usercpu_time_millis: 3579.662, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 3578.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1936.2044, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7459, scimark_benchmark: 1719.1889, usercpu_time_millis: 5616.194, usercpu_time_millis_testing: 1.474, usercpu_time_millis_training: 5614.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7806, kappa: 0.5573, kb_relative_information_score: 1337.1881, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8021, scimark_benchmark: 1834.1659, usercpu_time_millis: 4386.421, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 4385.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7997, kappa: 0.5959, kb_relative_information_score: 1814.7438, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1726.3086, usercpu_time_millis: 3675.038, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 3674.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1350.86, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7828, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1845.8506, usercpu_time_millis: 4368.107, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 4366.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7588, kappa: 0.5134, kb_relative_information_score: 1146.1421, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8334, scimark_benchmark: 1824.1279, usercpu_time_millis: 3102.59, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 3101.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7987, kappa: 0.5942, kb_relative_information_score: 2041.0675, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7987, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1841.7813, usercpu_time_millis: 1922.78, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 1922.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1642.0215, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.763, scimark_benchmark: 1841.6904, usercpu_time_millis: 5438.664, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 5436.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7449, kappa: 0.4852, kb_relative_information_score: 821.8607, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7461, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8647, scimark_benchmark: 1781.4956, usercpu_time_millis: 2166.356, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 2165.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8068, kappa: 0.6105, kb_relative_information_score: 2097.1669, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7617, scimark_benchmark: 1843.7028, usercpu_time_millis: 1937.616, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 1935.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 589.5298, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9064, scimark_benchmark: 1692.2551, usercpu_time_millis: 1588.686, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 1588.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 753.7568, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8828, scimark_benchmark: 1836.6789, usercpu_time_millis: 1986.714, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 1986.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7624, kappa: 0.5206, kb_relative_information_score: 1524.9634, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1840.2451, usercpu_time_millis: 2522.724, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 2522.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7686, kappa: 0.5331, kb_relative_information_score: 1416.3244, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7692, predictive_accuracy: 0.7694, prior_entropy: 0.9948, recall: 0.7694, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8159, scimark_benchmark: 1718.7337, usercpu_time_millis: 2763.922, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2763.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1778.9703, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1725.8551, usercpu_time_millis: 1618.512, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 1617.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8099, kappa: 0.6167, kb_relative_information_score: 1980.4927, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7438, scimark_benchmark: 1817.8981, usercpu_time_millis: 2966.413, usercpu_time_millis_testing: 4.758, usercpu_time_millis_training: 2961.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7518, kappa: 0.4995, kb_relative_information_score: 1601.3206, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1700.3998, usercpu_time_millis: 1513.483, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 1512.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7655, kappa: 0.5269, kb_relative_information_score: 1493.916, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8168, scimark_benchmark: 1841.1522, usercpu_time_millis: 1391.6, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1391.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8067, kappa: 0.6103, kb_relative_information_score: 1756.7429, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1886.5735, usercpu_time_millis: 1849.226, usercpu_time_millis_testing: 1.588, usercpu_time_millis_training: 1847.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7721, kappa: 0.5403, kb_relative_information_score: 1533.4955, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1787.0367, usercpu_time_millis: 2155.092, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 2154.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7653, kappa: 0.5265, kb_relative_information_score: 1516.3079, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8174, scimark_benchmark: 1835.0844, usercpu_time_millis: 1219.648, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1219.289,

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