OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1851.827, usercpu_time_millis: 0.916, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1835.7949, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 0.873, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 0.859, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1840.1045, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1843.657, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1839.5885, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 0.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1846.1505, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.9269, kappa: 0.2448, kb_relative_information_score: -694.4746, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9213, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9891, scimark_benchmark: 1848.789, usercpu_time_millis: 1.587, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1848.7121, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1851.827, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1853.454, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1890.9175, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1853.3841, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1830.9956, usercpu_time_millis: 0.883, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1856.5132, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1851.827, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1851.3688, usercpu_time_millis: 1.027, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1807.4838, usercpu_time_millis: 1.012, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1822.4586, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1817.1546, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1805.715, usercpu_time_millis: 0.967, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1805.715, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1809.5672, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1807.998, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1813.514, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1806.8261, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.9287, kappa: 0.2667, kb_relative_information_score: 1882.0991, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0045, scimark_benchmark: 1848.388, usercpu_time_millis: 1.91, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1845.779, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1835.9664, usercpu_time_millis: 0.984, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 0.54,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.9305, kappa: 0.298, kb_relative_information_score: 3330.5114, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2376, root_relative_squared_error: 1.0172, scimark_benchmark: 1834.5624, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1822.9742, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.575,
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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