OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.914, kb_relative_information_score: -10538.3423, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9331, scimark_benchmark: 1846.3057, usercpu_time_millis: 91.874, usercpu_time_millis_testing: 7.301, usercpu_time_millis_training: 84.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9162, kappa: 0.0622, kb_relative_information_score: -11382.9757, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9053, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9388, scimark_benchmark: 1851.8567, usercpu_time_millis: 62.176, usercpu_time_millis_testing: 4.478, usercpu_time_millis_training: 57.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9136, kappa: 0.0123, kb_relative_information_score: -9847.6655, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8961, predictive_accuracy: 0.9389, prior_entropy: 0.3191, recall: 0.9389, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9204, scimark_benchmark: 1831.5961, usercpu_time_millis: 49.521, usercpu_time_millis_testing: 4.39, usercpu_time_millis_training: 45.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9188, kappa: 0.0642, kb_relative_information_score: -13516.2434, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9374, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8964, scimark_benchmark: 1853.9121, usercpu_time_millis: 42.807, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 40.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13873.424, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9774, scimark_benchmark: 1755.1673, usercpu_time_millis: 231.849, usercpu_time_millis_testing: 12.944, usercpu_time_millis_training: 218.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -13387.155, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9641, scimark_benchmark: 1760.6767, usercpu_time_millis: 154.138, usercpu_time_millis_testing: 13.427, usercpu_time_millis_training: 140.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.9279, kappa: 0.2442, kb_relative_information_score: -993.8434, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9227, predictive_accuracy: 0.9391, prior_entropy: 0.3191, recall: 0.9391, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9589, scimark_benchmark: 1742.4811, usercpu_time_millis: 155.991, usercpu_time_millis_testing: 9.381, usercpu_time_millis_training: 146.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.914, kb_relative_information_score: -9034.9379, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9948, scimark_benchmark: 1750.5444, usercpu_time_millis: 114.939, usercpu_time_millis_testing: 6.937, usercpu_time_millis_training: 108.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14121.3225, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9474, scimark_benchmark: 1839.7911, usercpu_time_millis: 439.507, usercpu_time_millis_testing: 19.936, usercpu_time_millis_training: 419.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.9307, kappa: 0.2811, kb_relative_information_score: 142.6125, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9835, scimark_benchmark: 1752.7429, usercpu_time_millis: 265.975, usercpu_time_millis_testing: 8.958, usercpu_time_millis_training: 257.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.9303, kappa: 0.2709, kb_relative_information_score: -435.4393, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9796, scimark_benchmark: 1841.1522, usercpu_time_millis: 233.182, usercpu_time_millis_testing: 12.177, usercpu_time_millis_training: 221.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.914, kb_relative_information_score: -10994.362, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9918, scimark_benchmark: 1700.0128, usercpu_time_millis: 208.978, usercpu_time_millis_testing: 12.043, usercpu_time_millis_training: 196.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -167.049, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1741.5882, usercpu_time_millis: 19.311, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 18.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.914, kb_relative_information_score: -13332.7003, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9811, scimark_benchmark: 1743.3926, usercpu_time_millis: 159.388, usercpu_time_millis_testing: 12.266, usercpu_time_millis_training: 147.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.9301, kappa: 0.269, kb_relative_information_score: -490.38, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9804, scimark_benchmark: 1838.622, usercpu_time_millis: 323.926, usercpu_time_millis_testing: 12.025, usercpu_time_millis_training: 311.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9153, kappa: 0.0485, kb_relative_information_score: -11828.3429, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9029, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9455, scimark_benchmark: 1738.853, usercpu_time_millis: 212.052, usercpu_time_millis_testing: 10.687, usercpu_time_millis_training: 201.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14559.1345, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9754, scimark_benchmark: 1843.7454, usercpu_time_millis: 170.678, usercpu_time_millis_testing: 6.577, usercpu_time_millis_training: 164.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.9146, kappa: 0.0348, kb_relative_information_score: -10459.6255, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.9282, scimark_benchmark: 2136.2201, usercpu_time_millis: 67.881, usercpu_time_millis_testing: 5.641, usercpu_time_millis_training: 62.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.9261, kappa: 0.2361, kb_relative_information_score: -1780.132, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9817, scimark_benchmark: 1754.8595, usercpu_time_millis: 44.353, usercpu_time_millis_testing: 3.014, usercpu_time_millis_training: 41.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.9164, kappa: 0.0636, kb_relative_information_score: -10846.8333, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9058, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9318, scimark_benchmark: 2141.9686, usercpu_time_millis: 20.2, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 18.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -79.9051, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1733.415, usercpu_time_millis: 100.684, usercpu_time_millis_testing: 7.588, usercpu_time_millis_training: 93.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.9261, kappa: 0.1993, kb_relative_information_score: -6291.7756, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9121, scimark_benchmark: 1844.6587, usercpu_time_millis: 91.65, usercpu_time_millis_testing: 8.946, usercpu_time_millis_training: 82.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9149, kappa: 0.0405, kb_relative_information_score: -10537.8408, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9018, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.9273, scimark_benchmark: 1836.2249, usercpu_time_millis: 51.082, usercpu_time_millis_testing: 3.083, usercpu_time_millis_training: 47.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -101.6981, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1836.2249, usercpu_time_millis: 38.771, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 36.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.928, kappa: 0.2118, kb_relative_information_score: -4284.5592, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.927, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8944, scimark_benchmark: 2115.7657, usercpu_time_millis: 35.83, usercpu_time_millis_testing: 3.628, usercpu_time_millis_training: 32.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.9272, kappa: 0.256, kb_relative_information_score: -1772.8153, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.9361, prior_entropy: 0.3191, recall: 0.9361, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9757, scimark_benchmark: 1713.3105, usercpu_time_millis: 311.663, usercpu_time_millis_testing: 9.655, usercpu_time_millis_training: 302.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -14991.3746, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.961, scimark_benchmark: 1727.2974, usercpu_time_millis: 286.238, usercpu_time_millis_testing: 21.885, usercpu_time_millis_training: 264.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9302, kappa: 0.2813, kb_relative_information_score: 833.8519, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9394, prior_entropy: 0.3191, recall: 0.9394, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1765.0218, usercpu_time_millis: 151.259, usercpu_time_millis_testing: 5.538, usercpu_time_millis_training: 145.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.9226, kappa: 0.2, kb_relative_information_score: -7207.9221, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9158, predictive_accuracy: 0.9333, prior_entropy: 0.3191, recall: 0.9333, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.974, scimark_benchmark: 1768.4991, usercpu_time_millis: 138.81, usercpu_time_millis_testing: 7.438, usercpu_time_millis_training: 131.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13627.0089, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1835.2001, usercpu_time_millis: 612.487, usercpu_time_millis_testing: 14.96, usercpu_time_millis_training: 597.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14711.19, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9645, scimark_benchmark: 1834.1088, usercpu_time_millis: 529.263, usercpu_time_millis_testing: 20.119, usercpu_time_millis_training: 509.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14358.805, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9748, scimark_benchmark: 2115.0193, usercpu_time_millis: 115.256, usercpu_time_millis_testing: 7.397, usercpu_time_millis_training: 107.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13926.8771, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9761, scimark_benchmark: 1708.3944, usercpu_time_millis: 87.058, usercpu_time_millis_testing: 5.969, usercpu_time_millis_training: 81.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.9292, kappa: 0.2574, kb_relative_information_score: -600.9414, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9719, scimark_benchmark: 1835.7111, usercpu_time_millis: 76.775, usercpu_time_millis_testing: 5.061, usercpu_time_millis_training: 71.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.9304, kappa: 0.2738, kb_relative_information_score: 63.1853, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9765, scimark_benchmark: 1728.8905, usercpu_time_millis: 48.739, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 46.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9349, kappa: 0.2906, kb_relative_information_score: -10755.0188, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9386, predictive_accuracy: 0.9488, prior_entropy: 0.3191, recall: 0.9488, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.8551, scimark_benchmark: 1736.5308, usercpu_time_millis: 164.681, usercpu_time_millis_testing: 7.929, usercpu_time_millis_training: 156.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -15014.8012, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9728, scimark_benchmark: 1746.9915, usercpu_time_millis: 107.751, usercpu_time_millis_testing: 2.973, usercpu_time_millis_training: 104.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.9252, kappa: 0.2237, kb_relative_information_score: -3971.9535, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.919, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9876, scimark_benchmark: 2123.8085, usercpu_time_millis: 68.636, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 66.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9304, kappa: 0.2705, kb_relative_information_score: 263.6147, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9588, scimark_benchmark: 1852.9988, usercpu_time_millis: 125.577, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 116.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.9282, kappa: 0.2534, kb_relative_information_score: -1223.1445, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.923, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9473, scimark_benchmark: 1852.9988, usercpu_time_millis: 98.354, usercpu_time_millis_testing: 6.027, usercpu_time_millis_training: 92.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.914, kb_relative_information_score: -10997.1311, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9883, scimark_benchmark: 1935.8985, usercpu_time_millis: 37.953, usercpu_time_millis_testing: 3.179, usercpu_time_millis_training: 34.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.914, kb_relative_information_score: -8198.234, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9946, scimark_benchmark: 1801.1574, usercpu_time_millis: 59.674, usercpu_time_millis_testing: 6.777, usercpu_time_millis_training: 52.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.923, kappa: 0.1234, kb_relative_information_score: -9106.3553, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9342, predictive_accuracy: 0.9449, prior_entropy: 0.3191, recall: 0.9449, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8725, scimark_benchmark: 1721.4582, usercpu_time_millis: 246.255, usercpu_time_millis_testing: 7.463, usercpu_time_millis_training: 238.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.9245, kappa: 0.2149, kb_relative_information_score: -5067.361, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9181, predictive_accuracy: 0.9355, prior_entropy: 0.3191, recall: 0.9355, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9723, scimark_benchmark: 1750.2383, usercpu_time_millis: 236.196, usercpu_time_millis_testing: 8.432, usercpu_time_millis_training: 227.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14369.3384, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9738, scimark_benchmark: 1752.946, usercpu_time_millis: 156.137, usercpu_time_millis_testing: 6.479, usercpu_time_millis_training: 149.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.9298, kappa: 0.2624, kb_relative_information_score: -398.5143, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9659, scimark_benchmark: 1725.2907, usercpu_time_millis: 157.065, usercpu_time_millis_testing: 11.122, usercpu_time_millis_training: 145.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.9318, kappa: 0.2714, kb_relative_information_score: -20.8346, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9295, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8934, scimark_benchmark: 1765.8812, usercpu_time_millis: 132.574, usercpu_time_millis_testing: 9.113, usercpu_time_millis_training: 123.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -9.5364, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1746.35, usercpu_time_millis: 49.609, usercpu_time_millis_testing: 7.999, usercpu_time_millis_training: 41.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9261, kappa: 0.1676, kb_relative_information_score: -7595.2285, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9341, predictive_accuracy: 0.9457, prior_entropy: 0.3191, recall: 0.9457, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.8743, scimark_benchmark: 2120.9641, usercpu_time_millis: 39.165, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 36.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, kb_relative_information_score: -1281.2568, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.9307, kappa: 0.2784, kb_relative_information_score: -83.4313, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9802, scimark_benchmark: 1717.8303, usercpu_time_millis: 218.937, usercpu_time_millis_testing: 8.99, usercpu_time_millis_training: 209.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.9266, kappa: 0.2446, kb_relative_information_score: -2171.9939, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9209, predictive_accuracy: 0.9364, prior_entropy: 0.3191, recall: 0.9364, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9853, scimark_benchmark: 1717.4916, usercpu_time_millis: 220.074, usercpu_time_millis_testing: 9.716, usercpu_time_millis_training: 210.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9293, kappa: 0.2571, kb_relative_information_score: -479.5416, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9508, scimark_benchmark: 1850.9652, usercpu_time_millis: 151.497, usercpu_time_millis_testing: 12.329, usercpu_time_millis_training: 139.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9147, kappa: 0.0376, kb_relative_information_score: -10129.8903, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.901, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9549, scimark_benchmark: 1723.6152, usercpu_time_millis: 56.428, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 54.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.914, kb_relative_information_score: -10791.4852, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9925, scimark_benchmark: 1708.6198, usercpu_time_millis: 38.808, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 37.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.914, kb_relative_information_score: -12594.9139, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.947, scimark_benchmark: 1725.3999, usercpu_time_millis: 31.038, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 28.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -74.4647, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1724.5497, usercpu_time_millis: 16.404, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 15.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9298, kappa: 0.2588, kb_relative_information_score: 50.7481, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9336, scimark_benchmark: 1719.131, usercpu_time_millis: 268.704, usercpu_time_millis_testing: 15.115, usercpu_time_millis_training: 253.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.9246, kappa: 0.2227, kb_relative_information_score: -4304.2311, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9183, predictive_accuracy: 0.9346, prior_entropy: 0.3191, recall: 0.9346, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.237, root_relative_squared_error: 1.0149, scimark_benchmark: 1719.2505, usercpu_time_millis: 261.299, usercpu_time_millis_testing: 8.918, usercpu_time_millis_training: 252.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13839.5607, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9432, scimark_benchmark: 1736.5552, usercpu_time_millis: 275.435, usercpu_time_millis_testing: 14.969, usercpu_time_millis_training: 260.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.9301, kappa: 0.268, kb_relative_information_score: -515.8989, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9795, scimark_benchmark: 1722.1998, usercpu_time_millis: 144.541, usercpu_time_millis_testing: 6.384, usercpu_time_millis_training: 138.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9261, kappa: 0.1835, kb_relative_information_score: -5414.0478, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8956, scimark_benchmark: 1718.2275, usercpu_time_millis: 108.13, usercpu_time_millis_testing: 12.368, usercpu_time_millis_training: 95.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13608.8564, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9387, scimark_benchmark: 1754.7438, usercpu_time_millis: 213.419, usercpu_time_millis_testing: 10.63, usercpu_time_millis_training: 202.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.915, kappa: 0.0421, kb_relative_information_score: -10830.6423, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9021, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9248, scimark_benchmark: 1725.3223, usercpu_time_millis: 103.752, usercpu_time_millis_testing: 7.55, usercpu_time_millis_training: 96.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9362, kappa: 0.3081, kb_relative_information_score: -8672.0443, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.939, predictive_accuracy: 0.9492, prior_entropy: 0.3191, recall: 0.9492, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.8489, scimark_benchmark: 1728.8693, usercpu_time_millis: 94.469, usercpu_time_millis_testing: 5.3, usercpu_time_millis_training: 89.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -3.929, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1728.9285, usercpu_time_millis: 52.206, usercpu_time_millis_testing: 6.87, usercpu_time_millis_training: 45.336,

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