OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97277 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: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 0.6893, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8887, number_of_instances: 14980, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9924, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5681, unweighted_recall: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9066, kappa: 0.8109, kb_relative_information_score: 0.649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9068, number_of_instances: 14980, precision: 0.907, predictive_accuracy: 0.9068, prior_entropy: 0.9924, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5483, unweighted_recall: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 0.6381, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9487, number_of_instances: 14980, precision: 0.9493, predictive_accuracy: 0.9487, prior_entropy: 0.9924, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.51, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9344, kappa: 0.8672, kb_relative_information_score: 0.6386, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9346, number_of_instances: 14980, precision: 0.935, predictive_accuracy: 0.9346, prior_entropy: 0.9924, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5237, unweighted_recall: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8408, kappa: 0.6781, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8409, number_of_instances: 14980, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9924, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8021, unweighted_recall: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.563, kappa: 0.1494, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6, number_of_instances: 14980, precision: 0.605, predictive_accuracy: 0.6, prior_entropy: 0.9924, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2716, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8869, kappa: 0.7712, kb_relative_information_score: 0.6872, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, weighted_recall: 0.887, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9924, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716, unweighted_recall: 0.8847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8982, kb_relative_information_score: 0.6368, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9499, number_of_instances: 14980, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9924, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5114, unweighted_recall: 0.9472,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6846, kb_relative_information_score: 0.6832, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4948, weighted_recall: 0.844, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9924, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7941, unweighted_recall: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5681, kappa: 0.1484, kb_relative_information_score: 0.1811, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.5961, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8869, kappa: 0.7712, kb_relative_information_score: 0.6872, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, weighted_recall: 0.887, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9924, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716, unweighted_recall: 0.8847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9039, kappa: 0.8055, kb_relative_information_score: 0.6485, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9041, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 0.9924, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5499, unweighted_recall: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8982, kb_relative_information_score: 0.6368, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9499, number_of_instances: 14980, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9924, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5114, unweighted_recall: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6374, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9339, number_of_instances: 14980, precision: 0.9345, predictive_accuracy: 0.9339, prior_entropy: 0.9924, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5251, unweighted_recall: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6846, kb_relative_information_score: 0.6832, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4948, weighted_recall: 0.844, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9924, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7941, unweighted_recall: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5681, kappa: 0.1484, kb_relative_information_score: 0.1811, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.5961, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,

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