Task
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: 1853.454, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 0.601,
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: 1840.3162, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 0.516,
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: 1850.8185, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.305,
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: 0.953, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 0.529,
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: 1818.9456, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.399, 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: 1830.4098, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.373, 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: 1836.0382, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.514,
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: 1853.9121, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.571,
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: 1830.0265, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.498,
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: 1836.4861, usercpu_time_millis: 0.913, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 0.516,
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: 1834.4946, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 0.997,
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: 1852.9259, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.367, 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: 1801.5576, usercpu_time_millis: 1.33, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.026,
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: 1815.5992, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 0.53,
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: 1809.2092, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.519,
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: 1.061, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 0.62,
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: 1802.471, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 0.542,
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: 1839.1303, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 0.499,
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: 1.31, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.025,
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: 1835.2856, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.9268, kappa: 0.245, kb_relative_information_score: -721.9726, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1842.1399, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.338,
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: 1849.8294, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 0.604,
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: 1854.4431, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 0.522,
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: 1853.9121, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 0.546,
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: 1852.5406, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 0.544,
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: 1851.8968, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 0.633,
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: 1853.9121, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 1.022,
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: 1.062, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 0.621,
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: 1853.9121, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 0.575,
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: 1853.9121, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.9285, kappa: 0.2654, kb_relative_information_score: 1690.2914, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9234, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9989, scimark_benchmark: 1834.7091, usercpu_time_millis: 1.815, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.67,
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: 1853.9849, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 0.512,
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: 1857.1082, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 0.581,
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: 1830.1495, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 0.539,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.9268, kappa: 0.245, kb_relative_information_score: -721.9726, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1818.0501, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.342,
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: 1849.513, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.504,
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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