OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.914, kb_relative_information_score: -10543.951, mean_absolute_error: 0.1071, 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: 0.9813, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.985, scimark_benchmark: 1848.916, usercpu_time_millis: 6.588, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 6.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -65.9207, 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: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 12.762, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 11.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.9146, kappa: 0.0069, kb_relative_information_score: -13734.899, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9644, scimark_benchmark: 1848.388, usercpu_time_millis: 5.302, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 4.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -17044.1917, mean_absolute_error: 0.1038, 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: 0.951, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9491, scimark_benchmark: 1852.859, usercpu_time_millis: 4.207, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 3.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13977.52, mean_absolute_error: 0.1011, 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: 0.9269, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9456, scimark_benchmark: 1845.7061, usercpu_time_millis: 320.845, usercpu_time_millis_testing: 13.631, usercpu_time_millis_training: 307.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14399.6179, mean_absolute_error: 0.103, 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: 0.9445, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.955, scimark_benchmark: 1850.9652, usercpu_time_millis: 253.164, usercpu_time_millis_testing: 14.618, usercpu_time_millis_training: 238.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12364.8597, mean_absolute_error: 0.0983, 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: 0.9006, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9205, scimark_benchmark: 1820.807, usercpu_time_millis: 225.038, usercpu_time_millis_testing: 12.765, usercpu_time_millis_training: 212.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.914, kb_relative_information_score: -12477.0985, mean_absolute_error: 0.1075, 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: 0.9851, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9893, scimark_benchmark: 1849.3014, usercpu_time_millis: 172.94, usercpu_time_millis_testing: 11.153, usercpu_time_millis_training: 161.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.9292, kappa: 0.2529, kb_relative_information_score: -768.4094, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9766, scimark_benchmark: 1849.3014, usercpu_time_millis: 154.65, usercpu_time_millis_testing: 9.83, usercpu_time_millis_training: 144.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.914, kb_relative_information_score: -11462.0958, mean_absolute_error: 0.1078, 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: 0.9879, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9911, scimark_benchmark: 1825.1897, usercpu_time_millis: 79.767, usercpu_time_millis_testing: 6.107, usercpu_time_millis_training: 73.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.9298, kappa: 0.2569, kb_relative_information_score: -161.1633, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9697, scimark_benchmark: 1851.3287, usercpu_time_millis: 79.356, usercpu_time_millis_testing: 5.251, usercpu_time_millis_training: 74.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.9279, kappa: 0.2076, kb_relative_information_score: -3761.5503, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9279, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.893, scimark_benchmark: 1851.9456, usercpu_time_millis: 76.918, usercpu_time_millis_testing: 9.29, usercpu_time_millis_training: 67.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9151, kappa: 0.0434, kb_relative_information_score: -10584.3656, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9022, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9322, scimark_benchmark: 1747.2137, usercpu_time_millis: 72.797, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 68.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.914, kb_relative_information_score: -14714.7761, mean_absolute_error: 0.1059, 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: 0.9711, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9742, scimark_benchmark: 1841.8649, usercpu_time_millis: 72.076, usercpu_time_millis_testing: 7.046, usercpu_time_millis_training: 65.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9147, kappa: 0.0355, kb_relative_information_score: -10287.4324, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.9269, scimark_benchmark: 1846.3057, usercpu_time_millis: 64.229, usercpu_time_millis_testing: 4.369, usercpu_time_millis_training: 59.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.9287, kappa: 0.2446, kb_relative_information_score: -864.146, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9242, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9713, scimark_benchmark: 1852.4707, usercpu_time_millis: 51.706, usercpu_time_millis_testing: 3.106, usercpu_time_millis_training: 48.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.9307, kappa: 0.2674, kb_relative_information_score: 740.4225, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.9337, scimark_benchmark: 1848.388, usercpu_time_millis: 40.277, usercpu_time_millis_testing: 1.935, usercpu_time_millis_training: 38.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -21.1873, 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: 1849.8294, usercpu_time_millis: 35.17, usercpu_time_millis_testing: 5.34, usercpu_time_millis_training: 29.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.9277, kappa: 0.2245, kb_relative_information_score: -4387.7723, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.9414, prior_entropy: 0.3191, recall: 0.9414, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9122, scimark_benchmark: 1848.388, usercpu_time_millis: 35.029, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 33.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.9285, kappa: 0.243, kb_relative_information_score: -883.5672, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9239, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9749, scimark_benchmark: 1853.454, usercpu_time_millis: 26.254, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 25.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.9146, kappa: 0.0357, kb_relative_information_score: -11277.1457, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9419, scimark_benchmark: 1857.5664, usercpu_time_millis: 25.03, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 23.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -56.6362, 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: 1850.4554, usercpu_time_millis: 20.721, usercpu_time_millis_testing: 2.246, usercpu_time_millis_training: 18.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9145, kappa: 0.0366, kb_relative_information_score: -12041.2412, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9529, scimark_benchmark: 1848.8462, usercpu_time_millis: 17.408, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 16.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.9224, kappa: 0.1148, kb_relative_information_score: -11467.7783, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9448, prior_entropy: 0.3191, recall: 0.9448, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8817, scimark_benchmark: 1852.9988, usercpu_time_millis: 15.544, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 14.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.914, kb_relative_information_score: -7826.6784, mean_absolute_error: 0.1084, 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: 0.9932, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.995, scimark_benchmark: 1844.8668, usercpu_time_millis: 16.479, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 15.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -44.2053, 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: 1853.97, usercpu_time_millis: 15.238, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -248.1816, mean_absolute_error: 0.109, 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: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 4.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.914, kb_relative_information_score: -15063.2897, mean_absolute_error: 0.106, 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: 0.9717, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9808, scimark_benchmark: 1855.0232, usercpu_time_millis: 185.427, usercpu_time_millis_testing: 8.87, usercpu_time_millis_training: 176.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -11531.6216, mean_absolute_error: 0.1, 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: 0.9166, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.931, scimark_benchmark: 1853.454, usercpu_time_millis: 150.105, usercpu_time_millis_testing: 14.798, usercpu_time_millis_training: 135.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.914, kb_relative_information_score: -12819.0127, mean_absolute_error: 0.1073, 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: 0.9834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9883, scimark_benchmark: 1846.3057, usercpu_time_millis: 136.515, usercpu_time_millis_testing: 7.23, usercpu_time_millis_training: 129.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.9277, kappa: 0.2416, kb_relative_information_score: -1159.1349, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9224, predictive_accuracy: 0.939, prior_entropy: 0.3191, recall: 0.939, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1849.9292, usercpu_time_millis: 112.564, usercpu_time_millis_testing: 9.054, usercpu_time_millis_training: 103.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9288, kappa: 0.2434, kb_relative_information_score: -1865.4686, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.92, scimark_benchmark: 1850.8185, usercpu_time_millis: 108.785, usercpu_time_millis_testing: 8.062, usercpu_time_millis_training: 100.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.9294, kappa: 0.2533, kb_relative_information_score: -556.4059, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9759, scimark_benchmark: 1856.5802, usercpu_time_millis: 107.479, usercpu_time_millis_testing: 7.631, usercpu_time_millis_training: 99.848,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14759.6565, mean_absolute_error: 0.1036, 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: 0.9493, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9564, scimark_benchmark: 1849.9303, usercpu_time_millis: 102.563, usercpu_time_millis_testing: 5.397, usercpu_time_millis_training: 97.166,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.914, kb_relative_information_score: -11958.7961, mean_absolute_error: 0.1075, 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: 0.9857, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9899, scimark_benchmark: 1857.1082, usercpu_time_millis: 14.569, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 13.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -56.9432, 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: 1849.7595, usercpu_time_millis: 16.538, usercpu_time_millis_testing: 2.532, usercpu_time_millis_training: 14.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.914, kb_relative_information_score: -5550.0953, mean_absolute_error: 0.1086, 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: 0.9951, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9963, scimark_benchmark: 1847.5102, usercpu_time_millis: 7.649, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 7.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9142, kappa: 0.0029, kb_relative_information_score: -16895.9456, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9224, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9829, scimark_benchmark: 1805.5275, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.9249, kappa: 0.2308, kb_relative_information_score: -12081.7331, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9188, predictive_accuracy: 0.9343, prior_entropy: 0.3191, recall: 0.9343, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9458, scimark_benchmark: 1852.9259, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14461.0447, mean_absolute_error: 0.1034, 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: 0.9478, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.961, scimark_benchmark: 1068.9583, usercpu_time_millis: 506.476, usercpu_time_millis_testing: 26.359, usercpu_time_millis_training: 480.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.9301, kappa: 0.2669, kb_relative_information_score: -429.4617, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9651, scimark_benchmark: 1219.8339, usercpu_time_millis: 472.712, usercpu_time_millis_testing: 22.7, usercpu_time_millis_training: 450.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14396.4621, mean_absolute_error: 0.1053, 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: 0.9654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1053.061, usercpu_time_millis: 375.196, usercpu_time_millis_testing: 10.719, usercpu_time_millis_training: 364.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.9271, kappa: 0.2445, kb_relative_information_score: -1307.1131, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9716, scimark_benchmark: 1215.3389, usercpu_time_millis: 295.556, usercpu_time_millis_testing: 10.744, usercpu_time_millis_training: 284.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9234, kappa: 0.1934, kb_relative_information_score: -8521.7567, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9166, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9474, scimark_benchmark: 1114.2802, usercpu_time_millis: 278.039, usercpu_time_millis_testing: 11.037, usercpu_time_millis_training: 267.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.9249, kappa: 0.2179, kb_relative_information_score: -5239.8425, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9187, predictive_accuracy: 0.9361, prior_entropy: 0.3191, recall: 0.9361, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9598, scimark_benchmark: 1709.5279, usercpu_time_millis: 215.947, usercpu_time_millis_testing: 10.319, usercpu_time_millis_training: 205.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.9271, kappa: 0.2498, kb_relative_information_score: -2083.2601, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9367, prior_entropy: 0.3191, recall: 0.9367, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9927, scimark_benchmark: 1714.2341, usercpu_time_millis: 210.206, usercpu_time_millis_testing: 8.787, usercpu_time_millis_training: 201.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.9243, kappa: 0.1412, kb_relative_information_score: -13418.8169, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9455, prior_entropy: 0.3191, recall: 0.9455, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8794, scimark_benchmark: 1218.9882, usercpu_time_millis: 177.696, usercpu_time_millis_testing: 10.732, usercpu_time_millis_training: 166.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.9172, kappa: 0.0425, kb_relative_information_score: -10368.7925, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9418, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9023, scimark_benchmark: 1220.9604, usercpu_time_millis: 152.584, usercpu_time_millis_testing: 12.833, usercpu_time_millis_training: 139.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14766.7072, mean_absolute_error: 0.104, 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: 0.9531, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9654, scimark_benchmark: 1763.9066, usercpu_time_millis: 150.733, usercpu_time_millis_testing: 5.138, usercpu_time_millis_training: 145.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.9302, kappa: 0.2676, kb_relative_information_score: 310.6805, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9768, scimark_benchmark: 1737.9267, usercpu_time_millis: 128.661, usercpu_time_millis_testing: 8.345, usercpu_time_millis_training: 120.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9149, kappa: 0.0119, kb_relative_information_score: -12212.9201, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9458, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.9073, scimark_benchmark: 1851.3688, usercpu_time_millis: 114.3, usercpu_time_millis_testing: 8.399, usercpu_time_millis_training: 105.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.9299, kappa: 0.2677, kb_relative_information_score: -94.5721, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9818, scimark_benchmark: 1222.246, usercpu_time_millis: 95.556, usercpu_time_millis_testing: 2.034, usercpu_time_millis_training: 93.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.914, kb_relative_information_score: -9544.7688, 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: 0.9889, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9914, scimark_benchmark: 1734.2699, usercpu_time_millis: 92.012, usercpu_time_millis_testing: 8.057, usercpu_time_millis_training: 83.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.914, kb_relative_information_score: -8446.9502, mean_absolute_error: 0.1082, 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: 0.9915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9933, scimark_benchmark: 1101.7486, usercpu_time_millis: 78.643, usercpu_time_millis_testing: 7.076, usercpu_time_millis_training: 71.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9371, kappa: 0.3191, kb_relative_information_score: -10155.8134, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9401, predictive_accuracy: 0.9497, prior_entropy: 0.3191, recall: 0.9497, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.8544, scimark_benchmark: 1730.3001, usercpu_time_millis: 57.654, usercpu_time_millis_testing: 2.567, usercpu_time_millis_training: 55.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.914, kb_relative_information_score: -7216.8345, mean_absolute_error: 0.1084, 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: 0.9935, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.995, scimark_benchmark: 1853.454, usercpu_time_millis: 62.121, usercpu_time_millis_testing: 5.974, usercpu_time_millis_training: 56.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.9288, kappa: 0.2452, kb_relative_information_score: -813.3658, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.974, scimark_benchmark: 1753.7796, usercpu_time_millis: 46.012, usercpu_time_millis_testing: 2.076, usercpu_time_millis_training: 43.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.914, kb_relative_information_score: -11564.8269, mean_absolute_error: 0.0928, 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: 0.851, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9161, scimark_benchmark: 1737.5279, usercpu_time_millis: 44.026, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 40.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -32.7734, 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: 1221.0062, usercpu_time_millis: 37.111, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 32.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.9139, kappa: 0.0129, kb_relative_information_score: -10571.6929, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8974, predictive_accuracy: 0.9396, prior_entropy: 0.3191, recall: 0.9396, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9186, scimark_benchmark: 1736.5552, usercpu_time_millis: 29.547, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 27.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9283, kappa: 0.2128, kb_relative_information_score: -993.356, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8933, scimark_benchmark: 1730.3001, usercpu_time_millis: 26.496, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 25.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14287.0149, mean_absolute_error: 0.1036, 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: 0.9492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9588, scimark_benchmark: 1735.1328, usercpu_time_millis: 22.714, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 21.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.9165, kappa: 0.0674, kb_relative_information_score: -10173.125, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9059, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9401, scimark_benchmark: 1216.1705, usercpu_time_millis: 13.006, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 12.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -36.3892, 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: 1852.4707, usercpu_time_millis: 14.057, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 13.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.914, kb_relative_information_score: -13786.9124, mean_absolute_error: 0.106, 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: 0.9715, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.977, scimark_benchmark: 1704.7631, usercpu_time_millis: 170.909, usercpu_time_millis_testing: 10.696, usercpu_time_millis_training: 160.213,

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