Task
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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97277 Runs

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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: 0.5788, f_measure: 0.5716, kappa: 0.1658, kb_relative_information_score: 0.2032, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6076, number_of_instances: 14980, precision: 0.6155, predictive_accuracy: 0.6076, prior_entropy: 0.9924, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6264, root_relative_squared_error: 1.2594, unweighted_recall: 0.5788,
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: 0.962, f_measure: 0.896, kappa: 0.7896, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.896, number_of_instances: 14980, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5553, unweighted_recall: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9042, kappa: 0.806, kb_relative_information_score: 0.6469, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9043, number_of_instances: 14980, precision: 0.9044, predictive_accuracy: 0.9043, prior_entropy: 0.9924, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.551, unweighted_recall: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9493, kappa: 0.8974, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9495, number_of_instances: 14980, precision: 0.95, predictive_accuracy: 0.9495, prior_entropy: 0.9924, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5106, unweighted_recall: 0.9468,
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: 0.6492, 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: 0.933, kappa: 0.8643, kb_relative_information_score: 0.6372, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9332, number_of_instances: 14980, precision: 0.9337, predictive_accuracy: 0.9332, prior_entropy: 0.9924, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5252, unweighted_recall: 0.9302,
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: 0.8407, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 0.6802, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8425, number_of_instances: 14980, precision: 0.8425, predictive_accuracy: 0.8425, prior_entropy: 0.9924, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7979, unweighted_recall: 0.8407,
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: 0.5788, f_measure: 0.5716, kappa: 0.1658, kb_relative_information_score: 0.2032, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6076, number_of_instances: 14980, precision: 0.6155, predictive_accuracy: 0.6076, prior_entropy: 0.9924, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6264, root_relative_squared_error: 1.2594, unweighted_recall: 0.5788,
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: 0.962, f_measure: 0.896, kappa: 0.7896, kb_relative_information_score: 0.7008, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4948, weighted_recall: 0.896, number_of_instances: 14980, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9924, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5553, unweighted_recall: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9042, kappa: 0.806, kb_relative_information_score: 0.6469, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9043, number_of_instances: 14980, precision: 0.9044, predictive_accuracy: 0.9043, prior_entropy: 0.9924, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.551, unweighted_recall: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9493, kappa: 0.8974, kb_relative_information_score: 0.6377, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9495, number_of_instances: 14980, precision: 0.95, predictive_accuracy: 0.9495, prior_entropy: 0.9924, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5106, unweighted_recall: 0.9468,
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: 0.6492, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,

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