Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9202, kappa: 0.8378, kb_relative_information_score: 4180.6072, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9251, predictive_accuracy: 0.9209, prior_entropy: 0.9906, recall: 0.9209, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7134, scimark_benchmark: 1813.2193, usercpu_time_millis: 34.855, usercpu_time_millis_testing: 4.195, usercpu_time_millis_training: 30.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 9735.2673, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283, scimark_benchmark: 1777.4769, usercpu_time_millis: 58.77, usercpu_time_millis_testing: 3.084, usercpu_time_millis_training: 55.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9568, kappa: 0.9125, kb_relative_information_score: 9399.8312, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3676, scimark_benchmark: 1782.6454, usercpu_time_millis: 62.783, usercpu_time_millis_testing: 5.139, usercpu_time_millis_training: 57.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9308, kappa: 0.8594, kb_relative_information_score: 4477.871, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9344, predictive_accuracy: 0.9313, prior_entropy: 0.9906, recall: 0.9313, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6903, scimark_benchmark: 1851.0335, usercpu_time_millis: 9.952, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 9.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9684, kappa: 0.9359, kb_relative_information_score: 9849.8648, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9906, recall: 0.9684, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3096, scimark_benchmark: 1849.8294, usercpu_time_millis: 50.933, usercpu_time_millis_testing: 2.838, usercpu_time_millis_training: 48.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9576, kappa: 0.9141, kb_relative_information_score: 9369.5383, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9906, recall: 0.9577, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3593, scimark_benchmark: 1849.8294, usercpu_time_millis: 51.359, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 46.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9649, kappa: 0.9288, kb_relative_information_score: 9755.7629, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9906, recall: 0.9649, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.324, scimark_benchmark: 1844.722, usercpu_time_millis: 48.474, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 45.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9616, kappa: 0.9222, kb_relative_information_score: 9556.4475, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.9906, recall: 0.9616, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.343, scimark_benchmark: 1730.1903, usercpu_time_millis: 14.903, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 14.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9364, kappa: 0.8707, kb_relative_information_score: 4720.108, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9392, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6715, scimark_benchmark: 1855.0232, usercpu_time_millis: 49.404, usercpu_time_millis_testing: 6.158, usercpu_time_millis_training: 43.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 9812.233, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3127, scimark_benchmark: 1853.0716, usercpu_time_millis: 42.74, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 40.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9566, kappa: 0.9121, kb_relative_information_score: 9357.3489, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9906, recall: 0.9567, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3631, scimark_benchmark: 1839.6694, usercpu_time_millis: 23.989, usercpu_time_millis_testing: 2.197, usercpu_time_millis_training: 21.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.965, kappa: 0.9291, kb_relative_information_score: 9865.5163, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.9906, recall: 0.9651, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.323, scimark_benchmark: 1732.5611, usercpu_time_millis: 8.885, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 8.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9621, kappa: 0.9231, kb_relative_information_score: 9437.1351, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.9906, recall: 0.9621, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.347, scimark_benchmark: 1853, usercpu_time_millis: 43.439, usercpu_time_millis_testing: 4.063, usercpu_time_millis_training: 39.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9622, kappa: 0.9233, kb_relative_information_score: 9642.7582, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9622, predictive_accuracy: 0.9622, prior_entropy: 0.9906, recall: 0.9622, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3387, scimark_benchmark: 1853.454, usercpu_time_millis: 25.151, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 23.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9663, kappa: 0.9317, kb_relative_information_score: 9859.1259, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3185, scimark_benchmark: 1851.4874, usercpu_time_millis: 12.599, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 12.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9239, kappa: 0.8453, kb_relative_information_score: 4314.4576, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9282, predictive_accuracy: 0.9246, prior_entropy: 0.9906, recall: 0.9246, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7034, scimark_benchmark: 1732.5611, usercpu_time_millis: 12.238, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 10.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9669, kappa: 0.9328, kb_relative_information_score: 9811.7638, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9669, predictive_accuracy: 0.9669, prior_entropy: 0.9906, recall: 0.9669, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3158, scimark_benchmark: 1855.0232, usercpu_time_millis: 53.288, usercpu_time_millis_testing: 3.604, usercpu_time_millis_training: 49.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9556, kappa: 0.9099, kb_relative_information_score: 9357.8003, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3734, scimark_benchmark: 1736.665, usercpu_time_millis: 22.103, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 20.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.958, kappa: 0.9148, kb_relative_information_score: 9161.2904, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 0.9906, recall: 0.958, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.37, scimark_benchmark: 1844.2371, usercpu_time_millis: 32.911, usercpu_time_millis_testing: 3.207, usercpu_time_millis_training: 29.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9522, kappa: 0.9031, kb_relative_information_score: 9202.8452, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9906, recall: 0.9522, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3904, scimark_benchmark: 1731.5618, usercpu_time_millis: 21.217, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 19.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9686, kappa: 0.9363, kb_relative_information_score: 9863.8527, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 0.9906, recall: 0.9686, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3062, scimark_benchmark: 1845.264, usercpu_time_millis: 42.95, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 40.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9538, kappa: 0.9063, kb_relative_information_score: 9054.4957, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.9906, recall: 0.9539, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3876, scimark_benchmark: 1826.2155, usercpu_time_millis: 50.635, usercpu_time_millis_testing: 5.852, usercpu_time_millis_training: 44.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9503, kappa: 0.899, kb_relative_information_score: 7316.0372, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9504, prior_entropy: 0.9906, recall: 0.9504, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.4856, scimark_benchmark: 1893.9118, usercpu_time_millis: 11.577, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 10.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9505, kappa: 0.8996, kb_relative_information_score: 8698.9513, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9508, predictive_accuracy: 0.9506, prior_entropy: 0.9906, recall: 0.9506, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.415, scimark_benchmark: 1847.4089, usercpu_time_millis: 3.143, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 3.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9509, kappa: 0.9005, kb_relative_information_score: 9185.1476, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.9906, recall: 0.951, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3964, scimark_benchmark: 1730.1903, usercpu_time_millis: 36.878, usercpu_time_millis_testing: 2.567, usercpu_time_millis_training: 34.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 9718.2663, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.9906, recall: 0.9644, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3265, scimark_benchmark: 1846.2342, usercpu_time_millis: 54.328, usercpu_time_millis_testing: 4.387, usercpu_time_millis_training: 49.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9678, kappa: 0.9346, kb_relative_information_score: 9986.4215, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.9906, recall: 0.9678, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.153, root_relative_squared_error: 0.308, scimark_benchmark: 1840.8345, usercpu_time_millis: 48.724, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 46.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9678, kappa: 0.9346, kb_relative_information_score: 9865.9628, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9906, recall: 0.9678, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3132, scimark_benchmark: 1723.1219, usercpu_time_millis: 16.084, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 15.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9616, kappa: 0.922, kb_relative_information_score: 8622.4012, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9619, predictive_accuracy: 0.9616, prior_entropy: 0.9906, recall: 0.9616, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.3907, scimark_benchmark: 1849.3014, usercpu_time_millis: 56.36, usercpu_time_millis_testing: 5.113, usercpu_time_millis_training: 51.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9537, kappa: 0.906, kb_relative_information_score: 9287.2611, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.381, scimark_benchmark: 1736.4021, usercpu_time_millis: 5.786, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 5.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9523, kappa: 0.9032, kb_relative_information_score: 9167.1162, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9906, recall: 0.9523, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3872, scimark_benchmark: 1835.2001, usercpu_time_millis: 12.631, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 11.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9569, kappa: 0.9127, kb_relative_information_score: 9433.1613, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3662, scimark_benchmark: 1843.1261, usercpu_time_millis: 9.65, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 9.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 9335.8292, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.9906, recall: 0.9536, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3778, scimark_benchmark: 1853.454, usercpu_time_millis: 35.959, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 33.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9298, kappa: 0.8574, kb_relative_information_score: 4515.6247, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9333, predictive_accuracy: 0.9303, prior_entropy: 0.9906, recall: 0.9303, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6877, scimark_benchmark: 1777.2545, usercpu_time_millis: 5.46, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 5.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9672, kappa: 0.9335, kb_relative_information_score: 9670.9712, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3207, scimark_benchmark: 1849.8294, usercpu_time_millis: 55.368, usercpu_time_millis_testing: 3.601, usercpu_time_millis_training: 51.767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9468, kappa: 0.8921, kb_relative_information_score: 8796.1208, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.947, predictive_accuracy: 0.9469, prior_entropy: 0.9906, recall: 0.9469, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4116, scimark_benchmark: 1856.6543, usercpu_time_millis: 36.034, usercpu_time_millis_testing: 4.72, usercpu_time_millis_training: 31.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9644, kappa: 0.9278, kb_relative_information_score: 9571.0562, mean_absolute_error: 0.0739, 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: 0.1498, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3307, scimark_benchmark: 1837.2683, usercpu_time_millis: 32.536, usercpu_time_millis_testing: 2.673, usercpu_time_millis_training: 29.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 9672.0736, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9906, recall: 0.9665, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3221, scimark_benchmark: 1850.9446, usercpu_time_millis: 11.32, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 10.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9624, kappa: 0.9238, kb_relative_information_score: 9682.4805, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9906, recall: 0.9625, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3333, scimark_benchmark: 1846.3769, usercpu_time_millis: 2.726, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 2.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9625, kappa: 0.924, kb_relative_information_score: 9665.1493, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.9906, recall: 0.9626, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3348, scimark_benchmark: 1836.5966, usercpu_time_millis: 18.812, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 17.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9638, kappa: 0.9266, kb_relative_information_score: 9750.9904, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.9906, recall: 0.9638, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3312, scimark_benchmark: 1733.8087, usercpu_time_millis: 12.97, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 12.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9542, kappa: 0.907, kb_relative_information_score: 8929.8088, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9906, recall: 0.9542, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3933, scimark_benchmark: 1844.677, usercpu_time_millis: 47.952, usercpu_time_millis_testing: 5.152, usercpu_time_millis_training: 42.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 9677.7366, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9906, recall: 0.9619, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3377, scimark_benchmark: 1843.8534, usercpu_time_millis: 57.524, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 54.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9641, kappa: 0.9272, kb_relative_information_score: 9706.9555, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.9906, recall: 0.9641, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.329, scimark_benchmark: 1779.2317, usercpu_time_millis: 13.145, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 12.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9531, kappa: 0.9048, kb_relative_information_score: 8878.2965, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9533, predictive_accuracy: 0.9531, prior_entropy: 0.9906, recall: 0.9531, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3977, scimark_benchmark: 1729.728, usercpu_time_millis: 20.617, usercpu_time_millis_testing: 2.411, usercpu_time_millis_training: 18.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9604, kappa: 0.9196, kb_relative_information_score: 9524.78, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.9906, recall: 0.9604, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3481, scimark_benchmark: 1734.8962, usercpu_time_millis: 16.949, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 15.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9666, kappa: 0.9322, kb_relative_information_score: 9958.5408, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 0.9906, recall: 0.9666, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3148, scimark_benchmark: 1895.426, usercpu_time_millis: 43.473, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 41.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9646, kappa: 0.9282, kb_relative_information_score: 9413.4913, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9646, prior_entropy: 0.9906, recall: 0.9646, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3399, scimark_benchmark: 1898.7589, usercpu_time_millis: 44.844, usercpu_time_millis_testing: 3.806, usercpu_time_millis_training: 41.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9509, kappa: 0.9004, kb_relative_information_score: 8958.4559, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.9906, recall: 0.951, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3976, scimark_benchmark: 1847.934, usercpu_time_millis: 11.013, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 10.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.954, kappa: 0.9068, kb_relative_information_score: 9255.1944, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.9906, recall: 0.954, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3852, scimark_benchmark: 1844.4297, usercpu_time_millis: 21.862, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 20.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9567, kappa: 0.9123, kb_relative_information_score: 9418.4056, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3652, scimark_benchmark: 1733.8726, usercpu_time_millis: 39.697, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 36.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 9686.5136, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.9906, recall: 0.9615, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3387, scimark_benchmark: 1728.8708, usercpu_time_millis: 15.299, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 14.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9532, kappa: 0.905, kb_relative_information_score: 8845.7837, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9534, predictive_accuracy: 0.9532, prior_entropy: 0.9906, recall: 0.9532, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3965, scimark_benchmark: 1845.181, usercpu_time_millis: 4.557, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9606, kappa: 0.9202, kb_relative_information_score: 9584.5258, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3462, scimark_benchmark: 1857.1082, usercpu_time_millis: 32.498, usercpu_time_millis_testing: 2.106, usercpu_time_millis_training: 30.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.962, kappa: 0.9229, kb_relative_information_score: 9690.9452, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.9906, recall: 0.962, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3346, scimark_benchmark: 1736.5552, usercpu_time_millis: 53.026, usercpu_time_millis_testing: 4.409, usercpu_time_millis_training: 48.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9302, kappa: 0.858, kb_relative_information_score: 4441.4364, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9307, prior_entropy: 0.9906, recall: 0.9307, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.693, scimark_benchmark: 1761.0127, usercpu_time_millis: 13.97, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 12.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.966, kappa: 0.9311, kb_relative_information_score: 9335.9735, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.9906, recall: 0.9661, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3418, scimark_benchmark: 1781.7975, usercpu_time_millis: 15.586, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 14.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9559, kappa: 0.9106, kb_relative_information_score: 8519.5358, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.406, scimark_benchmark: 1733.3606, usercpu_time_millis: 52.305, usercpu_time_millis_testing: 6.133, usercpu_time_millis_training: 46.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9509, kappa: 0.9004, kb_relative_information_score: 7366.8472, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9517, predictive_accuracy: 0.9511, prior_entropy: 0.9906, recall: 0.9511, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4805, scimark_benchmark: 1857.1082, usercpu_time_millis: 32.708, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 28.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9616, kappa: 0.9222, kb_relative_information_score: 9631.7847, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 0.9906, recall: 0.9616, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3365, scimark_benchmark: 1732.8983, usercpu_time_millis: 52.256, usercpu_time_millis_testing: 3.871, usercpu_time_millis_training: 48.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 9901.222, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3041, scimark_benchmark: 1849.8294, usercpu_time_millis: 44.195, usercpu_time_millis_testing: 2.322, usercpu_time_millis_training: 41.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9569, kappa: 0.9127, kb_relative_information_score: 9470.6514, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3637, scimark_benchmark: 1729.728, usercpu_time_millis: 9.599, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 9.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9479, kappa: 0.8944, kb_relative_information_score: 9089.1877, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.9906, recall: 0.948, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4016, scimark_benchmark: 1718.188, usercpu_time_millis: 8.341, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 7.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9659, kappa: 0.9308, kb_relative_information_score: 9724.2405, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.9906, recall: 0.9659, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3218, scimark_benchmark: 1777.2795, usercpu_time_millis: 39.126, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 36.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9606, kappa: 0.9202, kb_relative_information_score: 9573.207, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.346, scimark_benchmark: 1851.4246, usercpu_time_millis: 47.806, usercpu_time_millis_testing: 3.47, usercpu_time_millis_training: 44.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 9175.6077, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9906, recall: 0.9512, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3956, scimark_benchmark: 1848.388, usercpu_time_millis: 14.161, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 13.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9661, kappa: 0.9313, kb_relative_information_score: 9592.4758, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 0.9906, recall: 0.9662, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.327, scimark_benchmark: 1777.4745, usercpu_time_millis: 34.614, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 31.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9681, kappa: 0.9354, kb_relative_information_score: 9991.0608, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.9906, recall: 0.9682, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.3055, scimark_benchmark: 1880.552, usercpu_time_millis: 8.564, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 8.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9668, kappa: 0.9326, kb_relative_information_score: 9853.0292, mean_absolute_error: 0.0584, 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: 0.1184, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3182, scimark_benchmark: 1730.1903, usercpu_time_millis: 28.187, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 27.283,

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