OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.9249, kappa: 0.0749, kb_relative_information_score: -291.5049, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9394, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9753, scimark_benchmark: 650.3738, usercpu_time_millis: 175.89, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 174.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.6134, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 676.9942, usercpu_time_millis: 8.87, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: -1584.0902, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9731, scimark_benchmark: 669.9137, usercpu_time_millis: 54.26, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 54.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.966, kappa: 0.65, kb_relative_information_score: 1619.2078, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6808, scimark_benchmark: 663.2255, usercpu_time_millis: 10.1, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 10.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.6642, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6758, scimark_benchmark: 650.2703, usercpu_time_millis: 8.2, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 8.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9633, kappa: 0.6005, kb_relative_information_score: 991.9895, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.163, root_relative_squared_error: 0.7215, scimark_benchmark: 686.1753, usercpu_time_millis: 8.13, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 8.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9596, kappa: 0.5538, kb_relative_information_score: 1862.8393, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9619, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.763, scimark_benchmark: 673.173, usercpu_time_millis: 26.85, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 26.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9575, kappa: 0.5374, kb_relative_information_score: 1544.8815, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.958, predictive_accuracy: 0.9626, prior_entropy: 0.3037, recall: 0.9626, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.178, root_relative_squared_error: 0.7881, scimark_benchmark: 654.4295, usercpu_time_millis: 227.52, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 225.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9655, kappa: 0.6427, kb_relative_information_score: 1544.5095, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6851, scimark_benchmark: 642.9505, usercpu_time_millis: 219.95, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 219.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.965, kappa: 0.6381, kb_relative_information_score: 1568.4688, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9642, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6845, scimark_benchmark: 674.0856, usercpu_time_millis: 44.62, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 44.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: -1585.0389, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9733, scimark_benchmark: 689.1206, usercpu_time_millis: 49.76, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 49.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9421, kappa: 0.3426, kb_relative_information_score: 603.6001, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9417, predictive_accuracy: 0.9521, prior_entropy: 0.3037, recall: 0.9521, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8558, scimark_benchmark: 712.5203, usercpu_time_millis: 30.05, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 29.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9755, kappa: 0.7453, kb_relative_information_score: 2745.2895, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9757, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.608, scimark_benchmark: 664.3569, usercpu_time_millis: 37.41, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 36.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9552, kappa: 0.5022, kb_relative_information_score: 1442.8299, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9573, predictive_accuracy: 0.9618, prior_entropy: 0.3037, recall: 0.9618, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.181, root_relative_squared_error: 0.8011, scimark_benchmark: 653.2542, usercpu_time_millis: 206.47, usercpu_time_millis_testing: 2.06, usercpu_time_millis_training: 204.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9654, kappa: 0.6426, kb_relative_information_score: 1619.9605, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.154, root_relative_squared_error: 0.6816, scimark_benchmark: 653.6562, usercpu_time_millis: 10.64, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 10.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.965, kappa: 0.6381, kb_relative_information_score: 1568.3082, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9642, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6845, scimark_benchmark: 653.1619, usercpu_time_millis: 38.09, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 37.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9723, kappa: 0.7127, kb_relative_information_score: 2525.3762, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6469, scimark_benchmark: 658.938, usercpu_time_millis: 85.1, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 84.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.9198, kb_relative_information_score: -1135.8747, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9986, scimark_benchmark: 709.0128, usercpu_time_millis: 28.98, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 28.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.969, kappa: 0.6914, kb_relative_information_score: 1569.8503, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6798, scimark_benchmark: 645.7712, usercpu_time_millis: 7.54, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 7.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9653, kappa: 0.6397, kb_relative_information_score: 1541.204, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6854, scimark_benchmark: 653.8149, usercpu_time_millis: 172.74, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 172.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9657, kappa: 0.6456, kb_relative_information_score: 1577.4137, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6836, scimark_benchmark: 655.6443, usercpu_time_millis: 45.39, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 45.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2627.9148, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6279, scimark_benchmark: 654.5722, usercpu_time_millis: 44.98, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 44.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9417, kappa: 0.3402, kb_relative_information_score: 493.8228, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.941, predictive_accuracy: 0.9516, prior_entropy: 0.3037, recall: 0.9516, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.851, scimark_benchmark: 685.4105, usercpu_time_millis: 14.91, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 14.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9838, kappa: 0.836, kb_relative_information_score: 3377.0914, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5007, scimark_benchmark: 646.9713, usercpu_time_millis: 36.64, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 36.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.969, kappa: 0.6914, kb_relative_information_score: 1664.4581, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.6753, scimark_benchmark: 661.8684, usercpu_time_millis: 8.21, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 8.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9563, kappa: 0.5199, kb_relative_information_score: 1475.9105, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9572, predictive_accuracy: 0.962, prior_entropy: 0.3037, recall: 0.962, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.7994, scimark_benchmark: 699.4587, usercpu_time_millis: 230.68, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 228.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9282, kappa: 0.3385, kb_relative_information_score: -4614.3657, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.933, predictive_accuracy: 0.924, prior_entropy: 0.3037, recall: 0.924, relative_absolute_error: 1.0379, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2374, root_relative_squared_error: 1.051, scimark_benchmark: 653.9921, usercpu_time_millis: 22.16, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 21.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9778, kappa: 0.7682, kb_relative_information_score: 2600.8358, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9785, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.5581, scimark_benchmark: 674.5405, usercpu_time_millis: 25.93, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 25.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9692, kappa: 0.694, kb_relative_information_score: 1646.393, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6755, scimark_benchmark: 655.0134, usercpu_time_millis: 8.08, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 8.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9839, kappa: 0.8421, kb_relative_information_score: 3241.7358, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4955, scimark_benchmark: 665.9185, usercpu_time_millis: 20.49, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 20.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9759, kappa: 0.7555, kb_relative_information_score: 2740.5919, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5918, scimark_benchmark: 678.3792, usercpu_time_millis: 14.35, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 14.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.9198, kb_relative_information_score: -1257.8624, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9979, scimark_benchmark: 652.4071, usercpu_time_millis: 322.73, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 322.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9658, kappa: 0.6457, kb_relative_information_score: 1612.2057, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9651, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.6841, scimark_benchmark: 652.7693, usercpu_time_millis: 15.83, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 15.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9685, kappa: 0.6646, kb_relative_information_score: 1115.2618, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.6921, scimark_benchmark: 653.8178, usercpu_time_millis: 9.93, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 9.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9834, kappa: 0.8386, kb_relative_information_score: 3141.0845, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4971, scimark_benchmark: 671.4312, usercpu_time_millis: 22.85, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 22.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9819, kappa: 0.8177, kb_relative_information_score: 2984.4741, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5084, scimark_benchmark: 682.3742, usercpu_time_millis: 14.44, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 14.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9793, kappa: 0.796, kb_relative_information_score: 2931.131, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9793, prior_entropy: 0.3037, recall: 0.9793, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.5249, scimark_benchmark: 675.9505, usercpu_time_millis: 23.15, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 22.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9429, kappa: 0.3527, kb_relative_information_score: 271.3001, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9428, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.8521, scimark_benchmark: 664.5714, usercpu_time_millis: 13.35, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 13.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.9198, kb_relative_information_score: -1118.9481, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9988, scimark_benchmark: 660.3432, usercpu_time_millis: 18.25, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 18.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9837, kappa: 0.8403, kb_relative_information_score: 3242.5222, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.4917, scimark_benchmark: 657.6451, usercpu_time_millis: 21.79, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 21.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9879, kappa: 0.8804, kb_relative_information_score: 3622.7744, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9878, predictive_accuracy: 0.988, prior_entropy: 0.3037, recall: 0.988, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.4242, scimark_benchmark: 647.8747, usercpu_time_millis: 13.89, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 13.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9854, kappa: 0.8551, kb_relative_information_score: 3371.2516, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.3037, recall: 0.9855, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.461, scimark_benchmark: 654.2027, usercpu_time_millis: 17.28, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.9198, kb_relative_information_score: -1140.29, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9986, scimark_benchmark: 652.377, usercpu_time_millis: 29.3, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 29.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9655, kappa: 0.6427, kb_relative_information_score: 1538.9654, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.685, scimark_benchmark: 640.319, usercpu_time_millis: 333.11, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 333.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9881, kappa: 0.8822, kb_relative_information_score: 3631.7331, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.988, predictive_accuracy: 0.9882, prior_entropy: 0.3037, recall: 0.9882, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.4241, scimark_benchmark: 669.8921, usercpu_time_millis: 13.41, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 13.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9691, kappa: 0.67, kb_relative_information_score: 1238.0885, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.6745, scimark_benchmark: 648.3923, usercpu_time_millis: 10.6, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 10.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9691, kappa: 0.6929, kb_relative_information_score: 1660.7461, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6754, scimark_benchmark: 659.3023, usercpu_time_millis: 8.27, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 8.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9871, kappa: 0.8726, kb_relative_information_score: 3505.5571, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.987, predictive_accuracy: 0.9872, prior_entropy: 0.3037, recall: 0.9872, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4412, scimark_benchmark: 643.3604, usercpu_time_millis: 16.61, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 16.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9657, kappa: 0.6456, kb_relative_information_score: 1577.2754, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6836, scimark_benchmark: 642.7863, usercpu_time_millis: 45.94, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 45.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.984, kappa: 0.8443, kb_relative_information_score: 3214.9009, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4926, scimark_benchmark: 655.5292, usercpu_time_millis: 23.19, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 22.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9698, kappa: 0.6997, kb_relative_information_score: 1641.8436, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 684.0606, usercpu_time_millis: 8.62, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 8.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9702, kappa: 0.7039, kb_relative_information_score: 1636.3606, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9699, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 652.7362, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 8.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9244, kappa: 0.0682, kb_relative_information_score: -1598.2709, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9383, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.93, scimark_benchmark: 650.3293, usercpu_time_millis: 13.5, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 13.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9686, kappa: 0.6675, kb_relative_information_score: 1109.8887, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6902, scimark_benchmark: 666.898, usercpu_time_millis: 9.84, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 9.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1626.1292, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6764, scimark_benchmark: 647.4816, usercpu_time_millis: 8.11, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.9198, kb_relative_information_score: -1228.0272, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9983, scimark_benchmark: 661.3893, usercpu_time_millis: 836.59, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 836.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.9291, kappa: 0.1533, kb_relative_information_score: -2485.9009, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9283, predictive_accuracy: 0.9467, prior_entropy: 0.3037, recall: 0.9467, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9924, scimark_benchmark: 653.8154, usercpu_time_millis: 21.67, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 21.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.9238, kappa: 0.0565, kb_relative_information_score: -232.429, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9505, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9851, scimark_benchmark: 662.1122, usercpu_time_millis: 15.03, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 14.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9654, kappa: 0.6426, kb_relative_information_score: 1568.0652, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6844, scimark_benchmark: 661.0151, usercpu_time_millis: 89.57, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 89.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9683, kappa: 0.6617, kb_relative_information_score: 1112.196, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.6876, scimark_benchmark: 682.6538, usercpu_time_millis: 9.98, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 9.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9237, kappa: 0.0603, kb_relative_information_score: -1275.8466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9313, predictive_accuracy: 0.9469, prior_entropy: 0.3037, recall: 0.9469, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.9436, scimark_benchmark: 650.8181, usercpu_time_millis: 9.05, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 8.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9813, kappa: 0.8202, kb_relative_information_score: 2985.5576, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.5204, scimark_benchmark: 652.5185, usercpu_time_millis: 23.09, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 22.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9853, kappa: 0.8526, kb_relative_information_score: 3537.912, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3037, recall: 0.9857, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4735, scimark_benchmark: 653.99, usercpu_time_millis: 17.37, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 17.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.9679, kappa: 0.6568, kb_relative_information_score: 1135.5093, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.6927, scimark_benchmark: 700.6706, usercpu_time_millis: 9.22, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 9.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.9215, kappa: 0.0315, kb_relative_information_score: -1312.2474, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9166, predictive_accuracy: 0.9454, prior_entropy: 0.3037, recall: 0.9454, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9632, scimark_benchmark: 680.9473, usercpu_time_millis: 8.48, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 8.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9687, kappa: 0.6867, kb_relative_information_score: 1549.1025, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9682, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6829, scimark_benchmark: 687.8793, usercpu_time_millis: 6.64, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9612, kappa: 0.5894, kb_relative_information_score: -314.4751, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9606, predictive_accuracy: 0.9645, prior_entropy: 0.3037, recall: 0.9645, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.7355, scimark_benchmark: 652.5567, usercpu_time_millis: 499.1, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9693, kappa: 0.6944, kb_relative_information_score: 1642.1955, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6755, scimark_benchmark: 669.3106, usercpu_time_millis: 8.68, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 8.6,

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