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: 0.8171, 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,
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: 0.9588, f_measure: 0.8902, kappa: 0.7779, kb_relative_information_score: 0.6887, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8902, number_of_instances: 14980, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 0.9924, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5675, unweighted_recall: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9042, kappa: 0.806, kb_relative_information_score: 0.647, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9044, number_of_instances: 14980, precision: 0.9046, predictive_accuracy: 0.9044, prior_entropy: 0.9924, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5512, unweighted_recall: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9488, kappa: 0.8964, kb_relative_information_score: 0.6361, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9489, number_of_instances: 14980, precision: 0.9494, predictive_accuracy: 0.9489, prior_entropy: 0.9924, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5122, unweighted_recall: 0.9464,
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: 0.9842, f_measure: 0.9333, kappa: 0.865, kb_relative_information_score: 0.6372, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9335, number_of_instances: 14980, precision: 0.934, predictive_accuracy: 0.9335, prior_entropy: 0.9924, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5247, unweighted_recall: 0.9307,
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: 0.8421, f_measure: 0.844, kappa: 0.6845, 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: 0.8439, 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: 0.8421,
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: 0.5759, f_measure: 0.5734, kappa: 0.1585, kb_relative_information_score: 0.1907, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6015, number_of_instances: 14980, precision: 0.6021, predictive_accuracy: 0.6015, prior_entropy: 0.9924, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6313, root_relative_squared_error: 1.2693, unweighted_recall: 0.5759,
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: 0.8902, kappa: 0.7779, kb_relative_information_score: 0.6887, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8902, number_of_instances: 14980, precision: 0.8901, predictive_accuracy: 0.8902, prior_entropy: 0.9924, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5675, unweighted_recall: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9042, kappa: 0.806, kb_relative_information_score: 0.647, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9044, number_of_instances: 14980, precision: 0.9046, predictive_accuracy: 0.9044, prior_entropy: 0.9924, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5512, unweighted_recall: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9488, kappa: 0.8964, kb_relative_information_score: 0.6361, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9489, number_of_instances: 14980, precision: 0.9494, predictive_accuracy: 0.9489, prior_entropy: 0.9924, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5122, unweighted_recall: 0.9464,
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: 0.9842, f_measure: 0.9333, kappa: 0.865, kb_relative_information_score: 0.6372, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9335, number_of_instances: 14980, precision: 0.934, predictive_accuracy: 0.9335, prior_entropy: 0.9924, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5247, unweighted_recall: 0.9307,
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: 0.8421, f_measure: 0.844, kappa: 0.6845, 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: 0.8439, 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: 0.8421,
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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,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Download this task directly in your environment and automatically upload your results

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

OpenML APIs