Task
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: 0.9932, 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: 1855.0232, usercpu_time_millis: 19.16, usercpu_time_millis_testing: 19.127, 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: 1944.9149, usercpu_time_millis: 9.142, usercpu_time_millis_testing: 9.116, usercpu_time_millis_training: 0.026,
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: 1853.9121, usercpu_time_millis: 12.908, usercpu_time_millis_testing: 12.877, usercpu_time_millis_training: 0.031,
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: 1856.125, usercpu_time_millis: 11.151, usercpu_time_millis_testing: 11.119, 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: 1845.2296, usercpu_time_millis: 11.137, usercpu_time_millis_testing: 11.108, usercpu_time_millis_training: 0.029,
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: 1908.3616, usercpu_time_millis: 9.417, usercpu_time_millis_testing: 9.389, usercpu_time_millis_training: 0.028,
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: 1857.1082, usercpu_time_millis: 11.856, usercpu_time_millis_testing: 11.826, usercpu_time_millis_training: 0.03,
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: 1856.5132, usercpu_time_millis: 12.993, usercpu_time_millis_testing: 12.961, usercpu_time_millis_training: 0.032,
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: 1846.6923, usercpu_time_millis: 16.716, usercpu_time_millis_testing: 16.685, usercpu_time_millis_training: 0.031,
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: 1857.5664, usercpu_time_millis: 16.548, usercpu_time_millis_testing: 16.516, usercpu_time_millis_training: 0.032,
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: 1853.9849, usercpu_time_millis: 17.571, usercpu_time_millis_testing: 17.537, 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: 1843.657, usercpu_time_millis: 17.874, usercpu_time_millis_testing: 17.842, 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: 1858.2223, usercpu_time_millis: 11.982, usercpu_time_millis_testing: 11.95, usercpu_time_millis_training: 0.032,
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: 1734.3333, usercpu_time_millis: 11.632, usercpu_time_millis_testing: 11.592, usercpu_time_millis_training: 0.04,
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: 1733.7613, usercpu_time_millis: 11.989, usercpu_time_millis_testing: 11.956, usercpu_time_millis_training: 0.033,
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: 1855.0232, usercpu_time_millis: 10.581, usercpu_time_millis_testing: 10.551, usercpu_time_millis_training: 0.03,
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: 1853.454, usercpu_time_millis: 16.961, usercpu_time_millis_testing: 16.929, usercpu_time_millis_training: 0.032,
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: 1830.9717, usercpu_time_millis: 10.376, usercpu_time_millis_testing: 10.346, usercpu_time_millis_training: 0.03,
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: 1853.9121, usercpu_time_millis: 13.246, usercpu_time_millis_testing: 13.216, usercpu_time_millis_training: 0.03,
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: 1735.1968, usercpu_time_millis: 11.522, usercpu_time_millis_testing: 11.488, 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: 1858.6076, usercpu_time_millis: 17.204, usercpu_time_millis_testing: 17.173, usercpu_time_millis_training: 0.031,
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: 1817.2582, usercpu_time_millis: 10.832, usercpu_time_millis_testing: 10.799, usercpu_time_millis_training: 0.033,
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: 1820.1393, usercpu_time_millis: 10.8, usercpu_time_millis_testing: 10.77, usercpu_time_millis_training: 0.03,
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: 1819.2626, usercpu_time_millis: 11.286, usercpu_time_millis_testing: 11.256, usercpu_time_millis_training: 0.03,
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: 1852.4707, usercpu_time_millis: 16.718, usercpu_time_millis_testing: 16.687, usercpu_time_millis_training: 0.031,
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: 1740.6836, usercpu_time_millis: 15.038, usercpu_time_millis_testing: 15.002, usercpu_time_millis_training: 0.036,
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: 1738.3274, usercpu_time_millis: 14.881, usercpu_time_millis_testing: 14.845, usercpu_time_millis_training: 0.036,
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: 1897.7203, usercpu_time_millis: 8.933, usercpu_time_millis_testing: 8.903, usercpu_time_millis_training: 0.03,
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: 1858.2223, usercpu_time_millis: 10.911, usercpu_time_millis_testing: 10.88, usercpu_time_millis_training: 0.031,
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: 1852.4707, usercpu_time_millis: 15.704, usercpu_time_millis_testing: 15.671, 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: 1732.8363, usercpu_time_millis: 10.464, usercpu_time_millis_testing: 10.43, usercpu_time_millis_training: 0.034,
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: 1848.7304, usercpu_time_millis: 14.096, usercpu_time_millis_testing: 14.066, usercpu_time_millis_training: 0.03,
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: 1814.7627, usercpu_time_millis: 10.689, usercpu_time_millis_testing: 10.657, usercpu_time_millis_training: 0.032,
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: 1755.487, usercpu_time_millis: 10.734, usercpu_time_millis_testing: 10.703, 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: 1855.0232, usercpu_time_millis: 15.167, usercpu_time_millis_testing: 15.132, usercpu_time_millis_training: 0.035,
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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: 1738.3274, usercpu_time_millis: 9.974, usercpu_time_millis_testing: 9.944, usercpu_time_millis_training: 0.03,
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: 1732.9618, usercpu_time_millis: 11.164, usercpu_time_millis_testing: 11.132, usercpu_time_millis_training: 0.032,
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: 1830.387, usercpu_time_millis: 11.832, usercpu_time_millis_testing: 11.795, usercpu_time_millis_training: 0.037,
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: 1737.0672, usercpu_time_millis: 23.711, usercpu_time_millis_testing: 23.674, usercpu_time_millis_training: 0.037,
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: 1729.728, usercpu_time_millis: 22.216, usercpu_time_millis_testing: 22.182, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9563, kappa: 0.9113, kb_relative_information_score: 9190.2773, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9906, recall: 0.9563, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.378, scimark_benchmark: 1733.7613, usercpu_time_millis: 22.635, usercpu_time_millis_testing: 22.601, usercpu_time_millis_training: 0.034,
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: 1858.7099, usercpu_time_millis: 8.393, usercpu_time_millis_testing: 8.364, usercpu_time_millis_training: 0.029,
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: 1923.6353, usercpu_time_millis: 9.937, usercpu_time_millis_testing: 9.906, usercpu_time_millis_training: 0.031,
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: 1733.7531, usercpu_time_millis: 13.264, usercpu_time_millis_testing: 13.231, usercpu_time_millis_training: 0.033,
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: 1738.3274, usercpu_time_millis: 9.952, usercpu_time_millis_testing: 9.921, 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: 1914.6668, usercpu_time_millis: 13.904, usercpu_time_millis_testing: 13.872, usercpu_time_millis_training: 0.032,
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: 1733.4787, usercpu_time_millis: 23.527, usercpu_time_millis_testing: 23.491, usercpu_time_millis_training: 0.036,
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: 1731.9373, usercpu_time_millis: 15.79, usercpu_time_millis_testing: 15.756, usercpu_time_millis_training: 0.034,
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: 1855.1403, usercpu_time_millis: 10.294, usercpu_time_millis_testing: 10.264, usercpu_time_millis_training: 0.03,
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: 1736.4936, usercpu_time_millis: 9.905, usercpu_time_millis_testing: 9.875, usercpu_time_millis_training: 0.03,
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: 1735.2934, usercpu_time_millis: 12.095, usercpu_time_millis_testing: 12.053, usercpu_time_millis_training: 0.042,
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: 1921.3979, usercpu_time_millis: 13.752, usercpu_time_millis_testing: 13.721, 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: 1847.7616, usercpu_time_millis: 11.405, usercpu_time_millis_testing: 11.369, usercpu_time_millis_training: 0.036,
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: 1734.6706, usercpu_time_millis: 13.605, usercpu_time_millis_testing: 13.572, usercpu_time_millis_training: 0.033,
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: 1859.9056, usercpu_time_millis: 10.967, usercpu_time_millis_testing: 10.822, usercpu_time_millis_training: 0.145,
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: 1729.3908, usercpu_time_millis: 10.075, usercpu_time_millis_testing: 10.043, usercpu_time_millis_training: 0.032,
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: 1739.3756, usercpu_time_millis: 10.278, usercpu_time_millis_testing: 10.247, usercpu_time_millis_training: 0.031,
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: 1732.9618, usercpu_time_millis: 12.642, usercpu_time_millis_testing: 12.609, usercpu_time_millis_training: 0.033,
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: 1850.5177, usercpu_time_millis: 10.721, usercpu_time_millis_testing: 10.686, usercpu_time_millis_training: 0.035,
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: 1736.1564, usercpu_time_millis: 10.271, usercpu_time_millis_testing: 10.241, usercpu_time_millis_training: 0.03,
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: 1735.7557, usercpu_time_millis: 11.462, usercpu_time_millis_testing: 11.431, usercpu_time_millis_training: 0.031,
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: 1854.4951, usercpu_time_millis: 11.403, usercpu_time_millis_testing: 11.371, 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: 1824.507, usercpu_time_millis: 18.608, usercpu_time_millis_testing: 18.57, usercpu_time_millis_training: 0.038,
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: 1829.3791, usercpu_time_millis: 18.56, usercpu_time_millis_testing: 18.522, usercpu_time_millis_training: 0.038,
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: 1738.3274, usercpu_time_millis: 17.1, usercpu_time_millis_testing: 17.068, usercpu_time_millis_training: 0.032,
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: 1907.85, usercpu_time_millis: 10.072, usercpu_time_millis_testing: 10.042, usercpu_time_millis_training: 0.03,
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: 1730.591, usercpu_time_millis: 12.062, usercpu_time_millis_testing: 12.029, usercpu_time_millis_training: 0.033,
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: 1853.9849, usercpu_time_millis: 13.439, usercpu_time_millis_testing: 13.408, usercpu_time_millis_training: 0.031,
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: 1719.7077, usercpu_time_millis: 11.245, usercpu_time_millis_testing: 11.214, usercpu_time_millis_training: 0.031,

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