OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 3726 Supervised Classification sleuth_ex2016 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.6428, kappa: 0.2848, kb_relative_information_score: 17.4785, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6435, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0772, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 41.7361, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8881, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.6867, kappa: 0.3751, kb_relative_information_score: 14.139, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.693, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9356, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.3527, kb_relative_information_score: -0.1099, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0009, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7258, kappa: 0.4643, kb_relative_information_score: 6.6615, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7647, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9464, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4961, kb_relative_information_score: 40.0679, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7531, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8984, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7453, kappa: 0.4912, kb_relative_information_score: 25.0447, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7507, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8416, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6437, kappa: 0.2882, kb_relative_information_score: 26.992, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6452, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.971, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.6777, kappa: 0.3545, kb_relative_information_score: 26.4551, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.678, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8383, scimark_benchmark: 1291.6995, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 915.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6403, kappa: 0.2825, kb_relative_information_score: 19.1536, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6455, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.063, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6428, kappa: 0.2848, kb_relative_information_score: 25.4812, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6435, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.0895, scimark_benchmark: 915.9693, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 27.0706, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0274, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6207, kappa: 0.2423, kb_relative_information_score: 27.0731, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6222, predictive_accuracy: 0.6207, prior_entropy: 0.9992, recall: 0.6207, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0031, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7242, kappa: 0.4485, kb_relative_information_score: 32.8937, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.725, predictive_accuracy: 0.7241, prior_entropy: 0.9992, recall: 0.7241, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9014, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.6777, kappa: 0.3545, kb_relative_information_score: 29.8425, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.678, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9197, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 20.358, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7038, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9396, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 26.8825, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6913, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9173, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.6031, kappa: 0.2504, kb_relative_information_score: 22.8917, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6709, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6065, root_relative_squared_error: 1.2137, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 2.8589, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7462, kappa: 0.492, kb_relative_information_score: 42.9245, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7484, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 25.0374, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6913, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9041, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.4015, kappa: 0.0154, kb_relative_information_score: -1.1477, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5225, predictive_accuracy: 0.4943, prior_entropy: 0.9992, recall: 0.4943, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4232, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 25.729, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8953, scimark_benchmark: 916.9356, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1250.8301, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6867, kappa: 0.3751, kb_relative_information_score: 32.9081, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.693, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1148, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7318, kappa: 0.4668, kb_relative_information_score: 28.8642, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7443, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9001, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6665, kappa: 0.332, kb_relative_information_score: 23.3751, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6665, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0429, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6781, kappa: 0.3711, kb_relative_information_score: 32.9081, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7117, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1148, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6665, kappa: 0.332, kb_relative_information_score: 29.048, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6665, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.535, root_relative_squared_error: 1.0706, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.5724, kappa: 0.145, kb_relative_information_score: 12.8753, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.574, predictive_accuracy: 0.5747, prior_entropy: 0.9992, recall: 0.5747, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3051, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.712, kappa: 0.4232, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.713, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.3527, kb_relative_information_score: -0.1099, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0009, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103, scimark_benchmark: 1384.4418,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7012, kappa: 0.4025, kb_relative_information_score: 33.0729, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.702, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9659, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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