Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 96307 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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96307 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.0155, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0076, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.5758, kappa: 0.1566, kb_relative_information_score: 0.0369, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5985, number_of_instances: 14980, precision: 0.596, predictive_accuracy: 0.5985, prior_entropy: 0.9924, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9896, unweighted_recall: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0044, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.0161, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0053, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.4352, kappa: 0.0442, kb_relative_information_score: 0.1241, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5686, number_of_instances: 14980, precision: 0.6934, predictive_accuracy: 0.5686, prior_entropy: 0.9924, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.3205, unweighted_recall: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6558, kappa: 0.304, kb_relative_information_score: 0.1519, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6626, number_of_instances: 14980, precision: 0.6619, predictive_accuracy: 0.6626, prior_entropy: 0.9924, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9306, unweighted_recall: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0027, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5511, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6536, kappa: 0.3184, kb_relative_information_score: 0.0767, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6776, number_of_instances: 14980, precision: 0.7029, predictive_accuracy: 0.6776, prior_entropy: 0.9924, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9494, unweighted_recall: 0.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6328, kappa: 0.2583, kb_relative_information_score: 0.1041, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6411, number_of_instances: 14980, precision: 0.6394, predictive_accuracy: 0.6411, prior_entropy: 0.9924, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9541, unweighted_recall: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.494, kappa: 0.0818, kb_relative_information_score: 0.0693, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5788, number_of_instances: 14980, precision: 0.6035, predictive_accuracy: 0.5788, prior_entropy: 0.9924, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9762, unweighted_recall: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4198, kappa: -0.0001, kb_relative_information_score: -0.0187, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4692, number_of_instances: 14980, precision: 0.5052, predictive_accuracy: 0.4692, prior_entropy: 0.9924, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0076, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kb_relative_information_score: 0.0021, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9996, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5511, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2783, kappa: 0.0001, kb_relative_information_score: -0.1191, mean_absolute_error: 0.5511, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4489, number_of_instances: 14980, precision: 0.5689, predictive_accuracy: 0.4489, prior_entropy: 0.9924, relative_absolute_error: 1.1139, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4926, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -0.0007, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.2914, kappa: 0.0054, kb_relative_information_score: -0.0692, mean_absolute_error: 0.5226, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4527, number_of_instances: 14980, precision: 0.5914, predictive_accuracy: 0.4527, prior_entropy: 0.9924, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2233, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0017, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.4992, kappa: 0.0779, kb_relative_information_score: 0.078, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5752, number_of_instances: 14980, precision: 0.586, predictive_accuracy: 0.5752, prior_entropy: 0.9924, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9903, unweighted_recall: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.0169, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.009, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5129, kappa: 0.0923, kb_relative_information_score: 0.019, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5803, number_of_instances: 14980, precision: 0.591, predictive_accuracy: 0.5803, prior_entropy: 0.9924, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.99, unweighted_recall: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6279, kappa: 0.2531, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6415, number_of_instances: 14980, precision: 0.643, predictive_accuracy: 0.6415, prior_entropy: 0.9924, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9981, unweighted_recall: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5492, kappa: 0.0982, kb_relative_information_score: 0.1238, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5685, number_of_instances: 14980, precision: 0.5598, predictive_accuracy: 0.5685, prior_entropy: 0.9924, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6569, root_relative_squared_error: 1.3207, unweighted_recall: 0.5475,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7744, kappa: 0.5432, kb_relative_information_score: 0.3619, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7749, number_of_instances: 14980, precision: 0.7744, predictive_accuracy: 0.7749, prior_entropy: 0.9924, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7973, unweighted_recall: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.3404, kappa: 0.0094, kb_relative_information_score: -0.0422, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4603, number_of_instances: 14980, precision: 0.529, predictive_accuracy: 0.4603, prior_entropy: 0.9924, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.09, unweighted_recall: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 0.0015, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9995, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 0, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.4199, kappa: 0, kb_relative_information_score: -0.0161, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4693, number_of_instances: 14980, precision: 0.5053, predictive_accuracy: 0.4693, prior_entropy: 0.9924, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0053, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs