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: 0.7604, f_measure: 0.9268, kappa: 0.2481, kb_relative_information_score: -1859.262, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9212, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9969, scimark_benchmark: 1481.2377, usercpu_time_millis: 44.83, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 43.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.9258, kappa: 0.236, kb_relative_information_score: -2833.5139, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9909, scimark_benchmark: 1438.1021, usercpu_time_millis: 201.05, usercpu_time_millis_testing: 8.95, usercpu_time_millis_training: 192.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -48.878, 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: 1400.3077, usercpu_time_millis: 17.61, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 15.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.914, kappa: 0.0004, kb_relative_information_score: -9631.01, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8934, predictive_accuracy: 0.9419, prior_entropy: 0.3191, recall: 0.9419, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9183, scimark_benchmark: 1461.8702, usercpu_time_millis: 108.86, usercpu_time_millis_testing: 8.6, usercpu_time_millis_training: 100.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.9167, kappa: 0.0679, kb_relative_information_score: -11007.2421, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9063, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9356, scimark_benchmark: 1353.9116, usercpu_time_millis: 156.34, usercpu_time_millis_testing: 9.24, usercpu_time_millis_training: 147.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14061.6469, mean_absolute_error: 0.1027, 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: 0.9413, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9513, scimark_benchmark: 1382.6897, usercpu_time_millis: 288.88, usercpu_time_millis_testing: 16.95, usercpu_time_millis_training: 271.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14988.4553, mean_absolute_error: 0.106, 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: 0.9713, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9807, scimark_benchmark: 1423.906, usercpu_time_millis: 274.66, usercpu_time_millis_testing: 11.81, usercpu_time_millis_training: 262.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9284, kappa: 0.2397, kb_relative_information_score: -2465.7166, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9239, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.9189, scimark_benchmark: 1433.639, usercpu_time_millis: 72.75, usercpu_time_millis_testing: 5.53, usercpu_time_millis_training: 67.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14602.3447, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9392, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9521, scimark_benchmark: 1510.6295, usercpu_time_millis: 149.72, usercpu_time_millis_testing: 3.78, usercpu_time_millis_training: 145.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.9297, kappa: 0.2646, kb_relative_information_score: -443.617, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9799, scimark_benchmark: 1179.2101, usercpu_time_millis: 326.98, usercpu_time_millis_testing: 19.79, usercpu_time_millis_training: 307.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.926, kappa: 0.2395, kb_relative_information_score: -2697.9871, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9202, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9981, scimark_benchmark: 1252.0806, usercpu_time_millis: 318.87, usercpu_time_millis_testing: 13.49, usercpu_time_millis_training: 305.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -14625.1015, mean_absolute_error: 0.1056, 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: 0.9679, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9775, scimark_benchmark: 1411.3764, usercpu_time_millis: 18.27, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 17.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.9253, kappa: 0.2272, kb_relative_information_score: -3241.7164, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.9356, prior_entropy: 0.3191, recall: 0.9356, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9865, scimark_benchmark: 1448.5541, usercpu_time_millis: 37.08, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 35.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.9226, kappa: 0.2002, kb_relative_information_score: -7640.9534, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9332, prior_entropy: 0.3191, recall: 0.9332, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9683, scimark_benchmark: 1238.9104, usercpu_time_millis: 185.17, usercpu_time_millis_testing: 8.65, usercpu_time_millis_training: 176.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -108.9203, 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: 1.0002, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1404.5366, usercpu_time_millis: 90.82, usercpu_time_millis_testing: 5.32, usercpu_time_millis_training: 85.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9145, kappa: 0.0303, kb_relative_information_score: -9974.6402, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9004, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9222, scimark_benchmark: 1253.7441, usercpu_time_millis: 176.32, usercpu_time_millis_testing: 14.07, usercpu_time_millis_training: 162.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12900.25, mean_absolute_error: 0.1009, 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: 0.9249, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9412, scimark_benchmark: 1483.6361, usercpu_time_millis: 44.4, usercpu_time_millis_testing: 2.01, usercpu_time_millis_training: 42.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.914, kb_relative_information_score: -7768.5695, mean_absolute_error: 0.1081, 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: 0.9909, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9928, scimark_benchmark: 1385.4945, usercpu_time_millis: 96.11, usercpu_time_millis_testing: 12.53, usercpu_time_millis_training: 83.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9157, kappa: 0.0532, kb_relative_information_score: -10859.8435, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9041, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9237, scimark_benchmark: 1283.1675, usercpu_time_millis: 53.3, usercpu_time_millis_testing: 2.25, usercpu_time_millis_training: 51.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.9302, kappa: 0.2704, kb_relative_information_score: -514.9814, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9776, scimark_benchmark: 1953.3585, usercpu_time_millis: 215.973, usercpu_time_millis_testing: 11.467, usercpu_time_millis_training: 204.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.9299, kappa: 0.2653, kb_relative_information_score: -592.181, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9805, scimark_benchmark: 1975.0365, usercpu_time_millis: 213.892, usercpu_time_millis_testing: 13.241, usercpu_time_millis_training: 200.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.915, kappa: 0.0128, kb_relative_information_score: -12123.2269, mean_absolute_error: 0.0967, 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: 0.8867, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9078, scimark_benchmark: 1996.5633, usercpu_time_millis: 179.099, usercpu_time_millis_testing: 12.603, usercpu_time_millis_training: 166.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -13336.5861, mean_absolute_error: 0.1045, 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: 0.9574, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9662, scimark_benchmark: 1874.8552, usercpu_time_millis: 202.251, usercpu_time_millis_testing: 23.204, usercpu_time_millis_training: 179.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.9309, kappa: 0.2757, kb_relative_information_score: 640.5085, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.939, scimark_benchmark: 1733.6153, usercpu_time_millis: 190.408, usercpu_time_millis_testing: 7.855, usercpu_time_millis_training: 182.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14333.8257, mean_absolute_error: 0.1027, 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: 0.9415, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9524, scimark_benchmark: 1881.1032, usercpu_time_millis: 139.522, usercpu_time_millis_testing: 8.305, usercpu_time_millis_training: 131.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.9294, kappa: 0.2602, kb_relative_information_score: -664.7626, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9782, scimark_benchmark: 1855.0232, usercpu_time_millis: 106.428, usercpu_time_millis_testing: 6.513, usercpu_time_millis_training: 99.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.914, kb_relative_information_score: -8678.7044, 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: 0.9931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9951, scimark_benchmark: 1893.1065, usercpu_time_millis: 99.431, usercpu_time_millis_testing: 8.776, usercpu_time_millis_training: 90.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.9164, kappa: 0.0646, kb_relative_information_score: -11400.9469, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.939, scimark_benchmark: 1955.8636, usercpu_time_millis: 92.017, usercpu_time_millis_testing: 6.624, usercpu_time_millis_training: 85.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.914, kb_relative_information_score: -12345.7841, mean_absolute_error: 0.1072, 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: 0.983, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9876, scimark_benchmark: 1984.0514, usercpu_time_millis: 73.697, usercpu_time_millis_testing: 5.282, usercpu_time_millis_training: 68.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.916, kappa: 0.0589, kb_relative_information_score: -11269.6631, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9046, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9359, scimark_benchmark: 1886.171, usercpu_time_millis: 44.825, usercpu_time_millis_testing: 2.533, usercpu_time_millis_training: 42.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.9221, kappa: 0.2053, kb_relative_information_score: -6868.6605, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9155, predictive_accuracy: 0.9315, prior_entropy: 0.3191, recall: 0.9315, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.994, scimark_benchmark: 1990.4841, usercpu_time_millis: 33.687, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 32.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -33.0499, 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: 1923.0322, usercpu_time_millis: 26.64, usercpu_time_millis_testing: 3.44, usercpu_time_millis_training: 23.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.9257, kappa: 0.2329, kb_relative_information_score: -2467.7375, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9198, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9806, scimark_benchmark: 1971.0298, usercpu_time_millis: 33.04, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 31.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.926, kappa: 0.2162, kb_relative_information_score: -5790.4317, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9256, scimark_benchmark: 1881.2969, usercpu_time_millis: 21.527, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 20.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.914, kb_relative_information_score: -8081.1611, mean_absolute_error: 0.1085, 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: 0.9941, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9957, scimark_benchmark: 1968.5995, usercpu_time_millis: 23.646, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 21.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9152, kappa: 0.0148, kb_relative_information_score: -15303.5297, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9459, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.918, scimark_benchmark: 1936.8341, usercpu_time_millis: 326.699, usercpu_time_millis_testing: 31.544, usercpu_time_millis_training: 295.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14119.1292, 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: 0.9481, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9607, scimark_benchmark: 1882.9387, usercpu_time_millis: 308.479, usercpu_time_millis_testing: 28.065, usercpu_time_millis_training: 280.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13287.0909, mean_absolute_error: 0.0993, 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: 0.9098, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9279, scimark_benchmark: 1933.3069, usercpu_time_millis: 295.62, usercpu_time_millis_testing: 16.896, usercpu_time_millis_training: 278.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.9148, kappa: 0.0108, kb_relative_information_score: -12919.9086, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9409, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.921, scimark_benchmark: 1717.3396, usercpu_time_millis: 271.736, usercpu_time_millis_testing: 8.264, usercpu_time_millis_training: 263.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9298, kappa: 0.2569, kb_relative_information_score: -592.6142, mean_absolute_error: 0.0715, 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: 0.655, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9287, scimark_benchmark: 1984.7049, usercpu_time_millis: 218.765, usercpu_time_millis_testing: 18.8, usercpu_time_millis_training: 199.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.9264, kappa: 0.2385, kb_relative_information_score: -2382.7508, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9207, predictive_accuracy: 0.9367, prior_entropy: 0.3191, recall: 0.9367, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9641, scimark_benchmark: 1846.1643, usercpu_time_millis: 128.799, usercpu_time_millis_testing: 6.234, usercpu_time_millis_training: 122.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.9251, kappa: 0.2011, kb_relative_information_score: -7900.5586, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9192, predictive_accuracy: 0.9386, prior_entropy: 0.3191, recall: 0.9386, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9342, scimark_benchmark: 1910.4776, usercpu_time_millis: 119.638, usercpu_time_millis_testing: 8.579, usercpu_time_millis_training: 111.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13412.1529, mean_absolute_error: 0.0997, 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: 0.9137, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9315, scimark_benchmark: 1742.3867, usercpu_time_millis: 113.474, usercpu_time_millis_testing: 4.325, usercpu_time_millis_training: 109.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -12956.01, mean_absolute_error: 0.0987, 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: 0.9045, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.9268, scimark_benchmark: 1873.4504, usercpu_time_millis: 112.228, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 106.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -28.7666, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1237.0964, usercpu_time_millis: 84.185, usercpu_time_millis_testing: 10.437, usercpu_time_millis_training: 73.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -17.9118, 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: 1879.5394, usercpu_time_millis: 32.35, usercpu_time_millis_testing: 5.183, usercpu_time_millis_training: 27.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9238, kappa: 0.1768, kb_relative_information_score: -8650.0525, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9178, predictive_accuracy: 0.9389, prior_entropy: 0.3191, recall: 0.9389, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9309, scimark_benchmark: 1864.9137, usercpu_time_millis: 27.364, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 25.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9145, kappa: 0.0346, kb_relative_information_score: -12169.1396, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9005, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9521, scimark_benchmark: 1909.9739, usercpu_time_millis: 22.472, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 21.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -266.2246, mean_absolute_error: 0.1088, 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: 0.9969, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1909.4985, usercpu_time_millis: 6.351, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 6.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -243.7458, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1864.4556, usercpu_time_millis: 5.971, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 5.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12530.1176, mean_absolute_error: 0.0979, 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: 0.8977, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.9177, scimark_benchmark: 1958.5455, usercpu_time_millis: 158.061, usercpu_time_millis_testing: 9.203, usercpu_time_millis_training: 148.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.914, kb_relative_information_score: -7854.5672, 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: 1839.1431, usercpu_time_millis: 112.993, usercpu_time_millis_testing: 8.157, usercpu_time_millis_training: 104.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9138, kappa: -0.0008, kb_relative_information_score: -11661.0822, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9143, scimark_benchmark: 1956.0157, usercpu_time_millis: 102.222, usercpu_time_millis_testing: 9.609, usercpu_time_millis_training: 92.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.914, kb_relative_information_score: -9960.2064, mean_absolute_error: 0.108, 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: 0.9895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9921, scimark_benchmark: 1857.8367, usercpu_time_millis: 75.905, usercpu_time_millis_testing: 7.127, usercpu_time_millis_training: 68.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.914, kb_relative_information_score: -7502.7673, 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: 0.9937, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9953, scimark_benchmark: 1853.9121, usercpu_time_millis: 67.235, usercpu_time_millis_testing: 6.838, usercpu_time_millis_training: 60.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.9151, kappa: 0.018, kb_relative_information_score: -7455.7922, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9138, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.921, scimark_benchmark: 1933.6185, usercpu_time_millis: 73.225, usercpu_time_millis_testing: 7.634, usercpu_time_millis_training: 65.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.914, kb_relative_information_score: -12214.3363, mean_absolute_error: 0.1077, 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: 0.9873, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9909, scimark_benchmark: 1956.0157, usercpu_time_millis: 47.752, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 44.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.914, kb_relative_information_score: -7659.7378, 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: 0.9939, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9956, scimark_benchmark: 1949.9958, usercpu_time_millis: 57.941, usercpu_time_millis_testing: 5.86, usercpu_time_millis_training: 52.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.9149, kappa: 0.0423, kb_relative_information_score: -11865.4824, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9018, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9465, scimark_benchmark: 1737.3309, usercpu_time_millis: 42.219, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 40.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9264, kappa: 0.1904, kb_relative_information_score: -4888.6597, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8943, scimark_benchmark: 1783.1722, usercpu_time_millis: 37.867, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 35.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -41.9517, 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: 2036.6781, usercpu_time_millis: 33.562, usercpu_time_millis_testing: 5.461, usercpu_time_millis_training: 28.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.9258, kappa: 0.2339, kb_relative_information_score: -2492.6748, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9198, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.987, scimark_benchmark: 1846.8309, usercpu_time_millis: 12.146, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 11.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.9144, kappa: 0.0049, kb_relative_information_score: -17477.8981, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9359, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9501, scimark_benchmark: 1851.3287, usercpu_time_millis: 5.453, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 5.135,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -12046.9692, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9559, scimark_benchmark: 1853.3841, usercpu_time_millis: 184.572, usercpu_time_millis_testing: 8.948, usercpu_time_millis_training: 175.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9144, kappa: 0.0343, kb_relative_information_score: -12341.3563, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9003, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9523, scimark_benchmark: 1847.7442, usercpu_time_millis: 173.384, usercpu_time_millis_testing: 7.306, usercpu_time_millis_training: 166.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9148, kappa: 0.0411, kb_relative_information_score: -11686.0446, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9014, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9549, scimark_benchmark: 1853.3841, usercpu_time_millis: 149.808, usercpu_time_millis_testing: 8.039, usercpu_time_millis_training: 141.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9171, kappa: 0.0719, kb_relative_information_score: -10207.1871, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9073, predictive_accuracy: 0.9382, prior_entropy: 0.3191, recall: 0.9382, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9235, scimark_benchmark: 1835.6541, usercpu_time_millis: 105.723, usercpu_time_millis_testing: 5.44, usercpu_time_millis_training: 100.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.9294, kappa: 0.2583, kb_relative_information_score: -954.1335, mean_absolute_error: 0.0699, 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: 0.6403, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9735, scimark_benchmark: 1986.2098, usercpu_time_millis: 59.934, usercpu_time_millis_testing: 5.063, usercpu_time_millis_training: 54.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -108.5201, 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: 1.0001, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1765.8881, usercpu_time_millis: 48.545, usercpu_time_millis_testing: 5.278, usercpu_time_millis_training: 43.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.914, kb_relative_information_score: -8071.3715, 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: 0.9921, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9939, scimark_benchmark: 1766.7987, usercpu_time_millis: 44.858, usercpu_time_millis_testing: 4.536, usercpu_time_millis_training: 40.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.914, kb_relative_information_score: -9428.8065, mean_absolute_error: 0.1081, 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: 0.9906, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9929, scimark_benchmark: 1764.4724, usercpu_time_millis: 44.646, usercpu_time_millis_testing: 4.016, usercpu_time_millis_training: 40.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.914, kb_relative_information_score: -6640.066, 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: 0.9934, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9947, scimark_benchmark: 1985.7354, usercpu_time_millis: 43.025, usercpu_time_millis_testing: 5.979, usercpu_time_millis_training: 37.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9146, kappa: 0.0374, kb_relative_information_score: -11038.6688, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9585, scimark_benchmark: 2138.6604, usercpu_time_millis: 43.624, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 42.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9155, kappa: 0.0515, kb_relative_information_score: -11638.809, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9033, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9406, scimark_benchmark: 2134.0614, usercpu_time_millis: 12.767, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 12.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.9192, kappa: 0.0718, kb_relative_information_score: -12435.6382, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9307, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9146, scimark_benchmark: 1859.1356, usercpu_time_millis: 250.707, usercpu_time_millis_testing: 6.652, usercpu_time_millis_training: 244.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14492.4258, 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: 0.9642, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9747, scimark_benchmark: 1748.1909, usercpu_time_millis: 171.021, usercpu_time_millis_testing: 6.269, usercpu_time_millis_training: 164.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9232, kappa: 0.1726, kb_relative_information_score: -9199.4605, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9168, predictive_accuracy: 0.9382, prior_entropy: 0.3191, recall: 0.9382, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9437, scimark_benchmark: 1855.4813, usercpu_time_millis: 140.345, usercpu_time_millis_testing: 7.184, usercpu_time_millis_training: 133.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.9291, kappa: 0.2084, kb_relative_information_score: -8265.8873, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9364, predictive_accuracy: 0.9469, prior_entropy: 0.3191, recall: 0.9469, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.8629, scimark_benchmark: 1745.8786, usercpu_time_millis: 119.111, usercpu_time_millis_testing: 7.372, usercpu_time_millis_training: 111.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.9287, kappa: 0.2035, kb_relative_information_score: -8895.6606, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9364, predictive_accuracy: 0.9468, prior_entropy: 0.3191, recall: 0.9468, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.8633, scimark_benchmark: 1850.4457, usercpu_time_millis: 115.815, usercpu_time_millis_testing: 7.481, usercpu_time_millis_training: 108.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9152, kappa: 0.0445, kb_relative_information_score: -10873.2428, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9026, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9254, scimark_benchmark: 2037.2625, usercpu_time_millis: 65.822, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 61.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9163, kappa: 0.0631, kb_relative_information_score: -11131.047, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9055, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9299, scimark_benchmark: 1819.8674, usercpu_time_millis: 64.536, usercpu_time_millis_testing: 5.292, usercpu_time_millis_training: 59.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9264, kappa: 0.2347, kb_relative_information_score: -2135.1664, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9206, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9535, scimark_benchmark: 1855.4813, usercpu_time_millis: 24.049, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 22.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.9296, kappa: 0.2629, kb_relative_information_score: -517.8562, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9807, scimark_benchmark: 1786.3578, usercpu_time_millis: 367.016, usercpu_time_millis_testing: 15.105, usercpu_time_millis_training: 351.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14704.3675, 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: 0.2253, root_relative_squared_error: 0.9648, scimark_benchmark: 1849.3014, usercpu_time_millis: 194.505, usercpu_time_millis_testing: 7.688, usercpu_time_millis_training: 186.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9224, kappa: 0.1943, kb_relative_information_score: -8009.3164, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9153, predictive_accuracy: 0.9334, prior_entropy: 0.3191, recall: 0.9334, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9684, scimark_benchmark: 1728.354, usercpu_time_millis: 112.861, usercpu_time_millis_testing: 6.364, usercpu_time_millis_training: 106.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.9312, kappa: 0.2878, kb_relative_information_score: 881.0151, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9267, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.978, scimark_benchmark: 1847.3406, usercpu_time_millis: 36.167, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 34.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.9139, kappa: 0.0036, kb_relative_information_score: -11006.8003, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8958, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.9109, scimark_benchmark: 1724.8213, usercpu_time_millis: 21.66, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 20.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.93, kappa: 0.2667, kb_relative_information_score: -280.1912, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.9779, scimark_benchmark: 1850.2875, usercpu_time_millis: 215.476, usercpu_time_millis_testing: 12.209, usercpu_time_millis_training: 203.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.9304, kappa: 0.2774, kb_relative_information_score: 48.8445, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9829, scimark_benchmark: 1799.6611, usercpu_time_millis: 77.275, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 75.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -141.4415, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1847.8034, usercpu_time_millis: 23.5, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 21.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14384.6631, mean_absolute_error: 0.1054, 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: 0.9657, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9741, scimark_benchmark: 1747.4748, usercpu_time_millis: 21.075, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 20.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -94.6168, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 19.135, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 17.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.914, kb_relative_information_score: -10673.3287, mean_absolute_error: 0.108, 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: 0.9895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9931, scimark_benchmark: 1847.8629, usercpu_time_millis: 3.076, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.9168, kappa: 0.0393, kb_relative_information_score: -12522.5543, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9273, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.919, scimark_benchmark: 1809.7648, usercpu_time_millis: 391.77, usercpu_time_millis_testing: 11.913, usercpu_time_millis_training: 379.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.914, kb_relative_information_score: -8766.3758, 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: 0.9922, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9946, scimark_benchmark: 1719.131, usercpu_time_millis: 100.712, usercpu_time_millis_testing: 8.604, usercpu_time_millis_training: 92.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.914, kb_relative_information_score: -14905.9621, mean_absolute_error: 0.1036, 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: 0.9495, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9464, scimark_benchmark: 1841.6148, usercpu_time_millis: 91.134, usercpu_time_millis_testing: 11.036, usercpu_time_millis_training: 80.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.914, kb_relative_information_score: -11721.1676, mean_absolute_error: 0.0939, 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: 0.8608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9181, scimark_benchmark: 1717.8303, usercpu_time_millis: 63.135, usercpu_time_millis_testing: 7.339, usercpu_time_millis_training: 55.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13084.9854, 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: 0.9195, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9362, scimark_benchmark: 1844.677, usercpu_time_millis: 195.716, usercpu_time_millis_testing: 12.1, usercpu_time_millis_training: 183.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9407, kappa: 0.3701, kb_relative_information_score: -8072.1381, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9417, predictive_accuracy: 0.951, prior_entropy: 0.3191, recall: 0.951, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.8455, scimark_benchmark: 1809.3271, usercpu_time_millis: 158.354, usercpu_time_millis_testing: 4.703, usercpu_time_millis_training: 153.651,

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