OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9544, kappa: 0.9076, kb_relative_information_score: 9017.5096, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3914, scimark_benchmark: 1735.1328, usercpu_time_millis: 18.912, usercpu_time_millis_testing: 18.745, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 8993.2869, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3934, scimark_benchmark: 1708.4634, usercpu_time_millis: 15.507, usercpu_time_millis_testing: 15.47, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9671, kappa: 0.9333, kb_relative_information_score: 10315.1943, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9906, recall: 0.9672, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3648, scimark_benchmark: 1853.3841, usercpu_time_millis: 11.595, usercpu_time_millis_testing: 11.563, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9971.2743, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9906, recall: 0.9668, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1850.8437, usercpu_time_millis: 13.463, usercpu_time_millis_testing: 13.428, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 9224.5421, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754, scimark_benchmark: 1741.0843, usercpu_time_millis: 19.373, usercpu_time_millis_testing: 19.337, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9666, kappa: 0.9323, kb_relative_information_score: 10105.8399, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9906, recall: 0.9666, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283, scimark_benchmark: 1853.3841, usercpu_time_millis: 13.962, usercpu_time_millis_testing: 13.929, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9171, kb_relative_information_score: 9367.4272, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1730.591, usercpu_time_millis: 18.068, usercpu_time_millis_testing: 18.03, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9611, kappa: 0.9212, kb_relative_information_score: 9534.4064, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 0.9906, recall: 0.9612, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.353, scimark_benchmark: 1850.8706, usercpu_time_millis: 17.016, usercpu_time_millis_testing: 16.983, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9171, kb_relative_information_score: 9367.4272, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1855.5511, usercpu_time_millis: 17.42, usercpu_time_millis_testing: 17.388, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9683, kappa: 0.9357, kb_relative_information_score: 10292.2416, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3385, scimark_benchmark: 1738.3914, usercpu_time_millis: 9.499, usercpu_time_millis_testing: 9.468, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 9224.5421, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754, scimark_benchmark: 1857.1082, usercpu_time_millis: 18.077, usercpu_time_millis_testing: 18.042, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9597, kappa: 0.9182, kb_relative_information_score: 9406.8531, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.9906, recall: 0.9597, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.362, scimark_benchmark: 1856.1949, usercpu_time_millis: 19.647, usercpu_time_millis_testing: 19.614, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9171, kb_relative_information_score: 9367.4272, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1857.5664, usercpu_time_millis: 19.027, usercpu_time_millis_testing: 18.992, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9644, kappa: 0.9279, kb_relative_information_score: 9746.7801, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.9906, recall: 0.9645, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3387, scimark_benchmark: 1851.827, usercpu_time_millis: 16.572, usercpu_time_millis_testing: 16.538, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9577, kappa: 0.9142, kb_relative_information_score: 9290.5845, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3708, scimark_benchmark: 1905.6854, usercpu_time_millis: 14.749, usercpu_time_millis_testing: 14.718, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9561, kappa: 0.9109, kb_relative_information_score: 9160.2497, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.9906, recall: 0.9561, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3804, scimark_benchmark: 1906.1655, usercpu_time_millis: 16.009, usercpu_time_millis_testing: 15.975, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9557, kappa: 0.9102, kb_relative_information_score: 9128.8905, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3826, scimark_benchmark: 1733.7613, usercpu_time_millis: 20.414, usercpu_time_millis_testing: 20.378, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 9224.5421, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754, scimark_benchmark: 1902.325, usercpu_time_millis: 15.085, usercpu_time_millis_testing: 15.051, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9042.6583, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3896, scimark_benchmark: 1740.6836, usercpu_time_millis: 13.406, usercpu_time_millis_testing: 13.373, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9577, kappa: 0.9142, kb_relative_information_score: 9290.5845, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3708, scimark_benchmark: 1850.4852, usercpu_time_millis: 19.458, usercpu_time_millis_testing: 19.427, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9971.2743, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9906, recall: 0.9668, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1855.7409, usercpu_time_millis: 12.289, usercpu_time_millis_testing: 12.258, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9683, kappa: 0.9357, kb_relative_information_score: 10292.2416, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3385, scimark_benchmark: 1857.5664, usercpu_time_millis: 10.729, usercpu_time_millis_testing: 10.697, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 9637.3409, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9906, recall: 0.9619, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3453, scimark_benchmark: 1848.8474, usercpu_time_millis: 16.204, usercpu_time_millis_testing: 16.17, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 8993.2869, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3934, scimark_benchmark: 1736.621, usercpu_time_millis: 14.21, usercpu_time_millis_testing: 14.171, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9557, kappa: 0.9102, kb_relative_information_score: 9128.8905, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3826, scimark_benchmark: 1739.4395, usercpu_time_millis: 13.906, usercpu_time_millis_testing: 13.874, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9528, kappa: 0.9043, kb_relative_information_score: 8968.4384, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3954, scimark_benchmark: 1733.4264, usercpu_time_millis: 22.148, usercpu_time_millis_testing: 22.108, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9544, kappa: 0.9076, kb_relative_information_score: 9017.5096, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9546, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3914, scimark_benchmark: 1900.2003, usercpu_time_millis: 17.252, usercpu_time_millis_testing: 17.092, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9644, kappa: 0.9279, kb_relative_information_score: 9746.7801, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.9906, recall: 0.9645, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3387, scimark_benchmark: 1859.8793, usercpu_time_millis: 13.352, usercpu_time_millis_testing: 13.32, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9070.491, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9548, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3871, scimark_benchmark: 1856.1949, usercpu_time_millis: 21.784, usercpu_time_millis_testing: 21.749, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9042.6583, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3896, scimark_benchmark: 1858.0974, usercpu_time_millis: 21.99, usercpu_time_millis_testing: 21.957, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 9637.3409, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9906, recall: 0.9619, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3453, scimark_benchmark: 1849.7595, usercpu_time_millis: 18.648, usercpu_time_millis_testing: 18.614, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9971.2743, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9906, recall: 0.9668, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1738.7921, usercpu_time_millis: 11.232, usercpu_time_millis_testing: 11.2, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9683, kappa: 0.9357, kb_relative_information_score: 10292.2416, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3385, scimark_benchmark: 1931.392, usercpu_time_millis: 9.262, usercpu_time_millis_testing: 9.234, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 10032.9847, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9906, recall: 0.9681, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3266, scimark_benchmark: 1737.9267, usercpu_time_millis: 11.894, usercpu_time_millis_testing: 11.862, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9602, kappa: 0.9193, kb_relative_information_score: 9489.6271, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9604, predictive_accuracy: 0.9603, prior_entropy: 0.9906, recall: 0.9603, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3564, scimark_benchmark: 1856.6531, usercpu_time_millis: 17.589, usercpu_time_millis_testing: 17.559, usercpu_time_millis_training: 0.03,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 8993.2869, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3934, scimark_benchmark: 1857.5664, usercpu_time_millis: 21.495, usercpu_time_millis_testing: 21.459, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9604, kappa: 0.9197, kb_relative_information_score: 9447.8849, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9606, predictive_accuracy: 0.9605, prior_entropy: 0.9906, recall: 0.9605, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.359, scimark_benchmark: 1852.9259, usercpu_time_millis: 10.953, usercpu_time_millis_testing: 10.924, usercpu_time_millis_training: 0.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9971.2743, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9906, recall: 0.9668, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1781.0741, usercpu_time_millis: 15.742, usercpu_time_millis_testing: 15.703, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9683, kappa: 0.9357, kb_relative_information_score: 10292.2416, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3385, scimark_benchmark: 1839.7911, usercpu_time_millis: 17.855, usercpu_time_millis_testing: 17.823, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9666, kappa: 0.9323, kb_relative_information_score: 10105.8399, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9906, recall: 0.9666, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283, scimark_benchmark: 1783.6593, usercpu_time_millis: 13.883, usercpu_time_millis_testing: 13.849, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9528, kappa: 0.9043, kb_relative_information_score: 8968.4384, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3954, scimark_benchmark: 1775.8464, usercpu_time_millis: 13.234, usercpu_time_millis_testing: 13.198, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9528, kappa: 0.9043, kb_relative_information_score: 8968.4384, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3954, scimark_benchmark: 1736.0929, usercpu_time_millis: 12.28, usercpu_time_millis_testing: 12.242, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 9808.6312, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3355, scimark_benchmark: 1735.1968, usercpu_time_millis: 10.529, usercpu_time_millis_testing: 10.496, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9552, kappa: 0.9092, kb_relative_information_score: 9101.303, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9554, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3847, scimark_benchmark: 1857.5664, usercpu_time_millis: 18.796, usercpu_time_millis_testing: 18.764, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9611, kappa: 0.9212, kb_relative_information_score: 9534.4064, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 0.9906, recall: 0.9612, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.353, scimark_benchmark: 1734.3333, usercpu_time_millis: 10.491, usercpu_time_millis_testing: 10.459, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 9637.3409, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.9906, recall: 0.9619, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3453, scimark_benchmark: 1852.5406, usercpu_time_millis: 10.704, usercpu_time_millis_testing: 10.674, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9171, kb_relative_information_score: 9367.4272, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1853.454, usercpu_time_millis: 19.698, usercpu_time_millis_testing: 19.665, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 10032.9847, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9906, recall: 0.9681, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3266, scimark_benchmark: 1782.2198, usercpu_time_millis: 14.361, usercpu_time_millis_testing: 14.33, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 8993.2869, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3934, scimark_benchmark: 1746.348, usercpu_time_millis: 11.603, usercpu_time_millis_testing: 11.567, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 9808.6312, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3355, scimark_benchmark: 1776.5179, usercpu_time_millis: 14.597, usercpu_time_millis_testing: 14.565, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9612, kappa: 0.9214, kb_relative_information_score: 9585.2298, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1856.6531, usercpu_time_millis: 15.888, usercpu_time_millis_testing: 15.854, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9070.491, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9548, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3871, scimark_benchmark: 1734.3333, usercpu_time_millis: 12.134, usercpu_time_millis_testing: 12.101, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9582, kappa: 0.9151, kb_relative_information_score: 9327.4112, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3681, scimark_benchmark: 1730.591, usercpu_time_millis: 11.921, usercpu_time_millis_testing: 11.887, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9042.6583, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3896, scimark_benchmark: 1763.4202, usercpu_time_millis: 13.946, usercpu_time_millis_testing: 13.912, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9612, kappa: 0.9214, kb_relative_information_score: 9585.2298, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1850.8185, usercpu_time_millis: 11.906, usercpu_time_millis_testing: 11.872, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.969, kappa: 0.9371, kb_relative_information_score: 10223.3986, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9906, recall: 0.969, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3262, scimark_benchmark: 1853.9121, usercpu_time_millis: 11.661, usercpu_time_millis_testing: 11.63, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9612, kappa: 0.9214, kb_relative_information_score: 9585.2298, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1849.3742, usercpu_time_millis: 16.223, usercpu_time_millis_testing: 16.188, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9683, kappa: 0.9357, kb_relative_information_score: 10292.2416, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3385, scimark_benchmark: 1856.6531, usercpu_time_millis: 11.004, usercpu_time_millis_testing: 10.974, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9666, kappa: 0.9323, kb_relative_information_score: 10105.8399, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.9906, recall: 0.9666, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283, scimark_benchmark: 1760.828, usercpu_time_millis: 10.621, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9971.2743, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 0.9906, recall: 0.9668, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1849.7595, usercpu_time_millis: 10.736, usercpu_time_millis_testing: 10.705, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9582, kappa: 0.9151, kb_relative_information_score: 9327.4112, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3681, scimark_benchmark: 1853.454, usercpu_time_millis: 12.307, usercpu_time_millis_testing: 12.276, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9552, kappa: 0.9092, kb_relative_information_score: 9101.303, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9554, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3847, scimark_benchmark: 1784.7502, usercpu_time_millis: 18.957, usercpu_time_millis_testing: 18.924, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9639, kappa: 0.9268, kb_relative_information_score: 9874.8609, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9906, recall: 0.9639, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3318, scimark_benchmark: 1853.9121, usercpu_time_millis: 11.445, usercpu_time_millis_testing: 11.413, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 9224.5421, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754, scimark_benchmark: 1853.3841, usercpu_time_millis: 19.681, usercpu_time_millis_testing: 19.647, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9171, kb_relative_information_score: 9367.4272, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3647, scimark_benchmark: 1853.3841, usercpu_time_millis: 19.12, usercpu_time_millis_testing: 19.085, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.957, kappa: 0.9127, kb_relative_information_score: 9254.4946, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.957, prior_entropy: 0.9906, recall: 0.957, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3734, scimark_benchmark: 1857.5664, usercpu_time_millis: 14.069, usercpu_time_millis_testing: 14.034, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9042.6583, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3896, scimark_benchmark: 1735.2934, usercpu_time_millis: 14.159, usercpu_time_millis_testing: 14.12, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9612, kappa: 0.9214, kb_relative_information_score: 9585.2298, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3492, scimark_benchmark: 1859.1356, usercpu_time_millis: 13.351, usercpu_time_millis_testing: 13.319, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9070.491, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9548, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.3871, scimark_benchmark: 1733.299, usercpu_time_millis: 14.509, usercpu_time_millis_testing: 14.47, usercpu_time_millis_training: 0.039,

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