OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1891.4515, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1742.4969, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1844.7928, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1895.427, usercpu_time_millis: 0.129, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1861.2508, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1902.7435, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1860.2458, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1865.3286, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1742.9568, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.8117, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.3135, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5327, kappa: 0.0722, kb_relative_information_score: 32.913, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7484, predictive_accuracy: 0.6485, prior_entropy: 0.953, recall: 0.6485, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.98, scimark_benchmark: 1863.066, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1869.2942, usercpu_time_millis: 0.122, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1862.8804, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.3809, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.0766, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1861.896, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1747.5976, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1861.4992, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.7447, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9103, kappa: 0.8081, kb_relative_information_score: 424.5651, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9103, predictive_accuracy: 0.9104, prior_entropy: 0.953, recall: 0.9104, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5758, scimark_benchmark: 1883.4819, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1741.7566, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1865.0384, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1863.9818, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1849.4321, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1864.1101, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7876, kappa: 0.5385, kb_relative_information_score: 254.703, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8169, predictive_accuracy: 0.8014, prior_entropy: 0.953, recall: 0.8014, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7956, scimark_benchmark: 1863.066, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1862.9503, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.8757, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9036, kappa: 0.7942, kb_relative_information_score: 416.781, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9039, predictive_accuracy: 0.9033, prior_entropy: 0.953, recall: 0.9033, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5886, scimark_benchmark: 1862.82, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1865.0384, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.924, kappa: 0.8366, kb_relative_information_score: 440.1298, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5471, scimark_benchmark: 1863.1579, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1775.1956, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1859.7394, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7112, kappa: 0.3799, kb_relative_information_score: 172.6625, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7724, predictive_accuracy: 0.7434, prior_entropy: 0.953, recall: 0.7434, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8777, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.212,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1864.0522, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.221,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.9661, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.102,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1865.2545, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1861.4485, usercpu_time_millis: 0.122, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8982, kappa: 0.7824, kb_relative_information_score: 405.7375, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8983, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.607, scimark_benchmark: 1861.3087, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1862.1882, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1867.2698, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1381, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1843.7226, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1863.4084, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8877, kappa: 0.7574, kb_relative_information_score: 377.8591, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8899, predictive_accuracy: 0.8893, prior_entropy: 0.953, recall: 0.8893, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6518, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.206,

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

OpenML bootcamp

From your own software

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

OpenML APIs