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: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
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: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
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: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
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: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
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: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
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: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
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: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
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: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
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: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
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: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9338, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 0.9924, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5246, unweighted_recall: 0.9312,
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: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
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: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
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: 0.9613, f_measure: 0.8919, kappa: 0.7812, kb_relative_information_score: 0.6972, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4948, weighted_recall: 0.892, number_of_instances: 14980, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9924, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5592, unweighted_recall: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.95, kappa: 0.8988, kb_relative_information_score: 0.6359, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9501, number_of_instances: 14980, precision: 0.9506, predictive_accuracy: 0.9501, prior_entropy: 0.9924, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5123, unweighted_recall: 0.9476,
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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9056, kappa: 0.809, kb_relative_information_score: 0.6489, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9059, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9059, prior_entropy: 0.9924, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5488, unweighted_recall: 0.9029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8424, kappa: 0.6813, kb_relative_information_score: 0.6801, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8424, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.798, unweighted_recall: 0.8404,
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: 0.5646, f_measure: 0.5411, kappa: 0.1379, kb_relative_information_score: 0.1884, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6003, number_of_instances: 14980, precision: 0.6251, predictive_accuracy: 0.6003, prior_entropy: 0.9924, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2711, unweighted_recall: 0.5646,
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: 0.9392, f_measure: 0.8615, kappa: 0.7195, kb_relative_information_score: 0.5697, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8619, number_of_instances: 14980, precision: 0.8622, predictive_accuracy: 0.8619, prior_entropy: 0.9924, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.636, unweighted_recall: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8875, kappa: 0.7723, kb_relative_information_score: 0.6969, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8877, number_of_instances: 14980, precision: 0.8876, predictive_accuracy: 0.8877, prior_entropy: 0.9924, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5732, unweighted_recall: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8579, kappa: 0.7125, kb_relative_information_score: 0.5827, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8582, number_of_instances: 14980, precision: 0.8581, predictive_accuracy: 0.8582, prior_entropy: 0.9924, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.642, unweighted_recall: 0.8551,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8823, kappa: 0.7619, kb_relative_information_score: 0.6794, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8824, number_of_instances: 14980, precision: 0.8823, predictive_accuracy: 0.8824, prior_entropy: 0.9924, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5799, unweighted_recall: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8245, kappa: 0.6446, kb_relative_information_score: 0.4992, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8251, number_of_instances: 14980, precision: 0.825, predictive_accuracy: 0.8251, prior_entropy: 0.9924, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7067, unweighted_recall: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 0.5642, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8627, number_of_instances: 14980, precision: 0.8627, predictive_accuracy: 0.8627, prior_entropy: 0.9924, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6409, unweighted_recall: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8231, kappa: 0.6415, kb_relative_information_score: 0.4212, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8244, number_of_instances: 14980, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 0.9924, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7284, unweighted_recall: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.842, kappa: 0.6801, kb_relative_information_score: 0.5645, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8423, number_of_instances: 14980, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9924, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6723, unweighted_recall: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8655, kappa: 0.7277, kb_relative_information_score: 0.6095, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8658, number_of_instances: 14980, precision: 0.8657, predictive_accuracy: 0.8658, prior_entropy: 0.9924, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6276, unweighted_recall: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8529, kappa: 0.7023, kb_relative_information_score: 0.582, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8532, number_of_instances: 14980, precision: 0.8531, predictive_accuracy: 0.8532, prior_entropy: 0.9924, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6491, unweighted_recall: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8791, kappa: 0.7553, kb_relative_information_score: 0.6641, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8793, number_of_instances: 14980, precision: 0.8793, predictive_accuracy: 0.8793, prior_entropy: 0.9924, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5885, unweighted_recall: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7773, kappa: 0.5492, kb_relative_information_score: 0.2988, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7806, number_of_instances: 14980, precision: 0.7845, predictive_accuracy: 0.7806, prior_entropy: 0.9924, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8097, unweighted_recall: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8756, kappa: 0.7481, kb_relative_information_score: 0.6224, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8758, number_of_instances: 14980, precision: 0.8759, predictive_accuracy: 0.8758, prior_entropy: 0.9924, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6042, unweighted_recall: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8324, kappa: 0.6604, kb_relative_information_score: 0.4737, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8332, number_of_instances: 14980, precision: 0.8338, predictive_accuracy: 0.8332, prior_entropy: 0.9924, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7013, unweighted_recall: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8629, kappa: 0.7226, kb_relative_information_score: 0.6028, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8632, number_of_instances: 14980, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9924, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6347, unweighted_recall: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8764, kappa: 0.7498, kb_relative_information_score: 0.6225, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8766, number_of_instances: 14980, precision: 0.8766, predictive_accuracy: 0.8766, prior_entropy: 0.9924, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6025, unweighted_recall: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8496, kappa: 0.6955, kb_relative_information_score: 0.5321, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8502, number_of_instances: 14980, precision: 0.8504, predictive_accuracy: 0.8502, prior_entropy: 0.9924, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6629, unweighted_recall: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.787, kappa: 0.5686, kb_relative_information_score: 0.3313, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7895, number_of_instances: 14980, precision: 0.7918, predictive_accuracy: 0.7895, prior_entropy: 0.9924, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7897, unweighted_recall: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8608, kappa: 0.7181, kb_relative_information_score: 0.5736, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8611, number_of_instances: 14980, precision: 0.8612, predictive_accuracy: 0.8611, prior_entropy: 0.9924, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6364, unweighted_recall: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7666, kappa: 0.5277, kb_relative_information_score: 0.268, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7706, number_of_instances: 14980, precision: 0.7754, predictive_accuracy: 0.7706, prior_entropy: 0.9924, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8296, unweighted_recall: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8217, kappa: 0.6386, kb_relative_information_score: 0.432, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8228, number_of_instances: 14980, precision: 0.8237, predictive_accuracy: 0.8228, prior_entropy: 0.9924, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7233, unweighted_recall: 0.8164,

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