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: 0.8358, f_measure: 0.9166, kappa: 0.0676, kb_relative_information_score: -10829.234, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9061, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9344, scimark_benchmark: 1837.1955, usercpu_time_millis: 112.257, usercpu_time_millis_testing: 7.754, usercpu_time_millis_training: 104.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.9291, kappa: 0.2555, kb_relative_information_score: -1206.8863, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9243, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.975, scimark_benchmark: 1771.2908, usercpu_time_millis: 132.239, usercpu_time_millis_testing: 11.669, usercpu_time_millis_training: 120.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -46.4616, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1833.6579, usercpu_time_millis: 36.267, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 30.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.927, kappa: 0.239, kb_relative_information_score: -1273.1913, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9731, scimark_benchmark: 1829.632, usercpu_time_millis: 43.04, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 40.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.914, kb_relative_information_score: -9717.456, 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: 0.9902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9925, scimark_benchmark: 1833.6579, usercpu_time_millis: 95.976, usercpu_time_millis_testing: 6.908, usercpu_time_millis_training: 89.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.915, kappa: 0.0418, kb_relative_information_score: -10783.1939, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9019, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9253, scimark_benchmark: 1808.6885, usercpu_time_millis: 83.595, usercpu_time_millis_testing: 4.707, usercpu_time_millis_training: 78.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9141, kappa: 0.0062, kb_relative_information_score: -9444.5498, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.898, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9204, scimark_benchmark: 1833.6579, usercpu_time_millis: 57.516, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 53.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13656.8144, mean_absolute_error: 0.1005, 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: 0.9209, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9391, scimark_benchmark: 1863.3821, usercpu_time_millis: 430.342, usercpu_time_millis_testing: 13.414, usercpu_time_millis_training: 416.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.9147, kappa: 0.0088, kb_relative_information_score: -14350.9186, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9399, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9503, scimark_benchmark: 1500.1161, usercpu_time_millis: 418.103, usercpu_time_millis_testing: 15.87, usercpu_time_millis_training: 402.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.931, kappa: 0.2842, kb_relative_information_score: 655.7284, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9266, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9753, scimark_benchmark: 1740.9783, usercpu_time_millis: 141.841, usercpu_time_millis_testing: 7.986, usercpu_time_millis_training: 133.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.9224, kappa: 0.1309, kb_relative_information_score: -6575.6579, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8963, scimark_benchmark: 1809.7476, usercpu_time_millis: 137.923, usercpu_time_millis_testing: 12.653, usercpu_time_millis_training: 125.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.914, kb_relative_information_score: -12638.9055, 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: 0.9829, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9876, scimark_benchmark: 1829.1182, usercpu_time_millis: 191.81, usercpu_time_millis_testing: 12.318, usercpu_time_millis_training: 179.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.9258, kappa: 0.236, kb_relative_information_score: -2933.0637, mean_absolute_error: 0.0732, 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: 0.6709, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1790.111, usercpu_time_millis: 53.19, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 51.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.9189, kappa: 0.1005, kb_relative_information_score: -9834.5608, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9107, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9318, scimark_benchmark: 1739.8839, usercpu_time_millis: 10.218, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 9.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -80.8563, 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: 1783.3565, usercpu_time_millis: 20.611, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 18.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.9298, kappa: 0.2655, kb_relative_information_score: -381.788, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9808, scimark_benchmark: 1757.4603, usercpu_time_millis: 117.731, usercpu_time_millis_testing: 5.526, usercpu_time_millis_training: 112.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.9304, kappa: 0.2755, kb_relative_information_score: -208.4213, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9795, scimark_benchmark: 1797.0267, usercpu_time_millis: 37.614, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 36.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -175.5302, 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: 1845.483, usercpu_time_millis: 29.066, usercpu_time_millis_testing: 2.727, usercpu_time_millis_training: 26.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.914, kb_relative_information_score: -13288.413, mean_absolute_error: 0.1069, 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: 0.9798, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9838, scimark_benchmark: 1737.5174, usercpu_time_millis: 43.878, usercpu_time_millis_testing: 3.133, usercpu_time_millis_training: 40.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -26.0876, 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: 1848.9569, usercpu_time_millis: 24.76, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 20.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.9297, kappa: 0.2636, kb_relative_information_score: -350.1026, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9747, scimark_benchmark: 1831.2726, usercpu_time_millis: 17.472, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 16.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.914, kappa: 0.0114, kb_relative_information_score: -9681.8608, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8979, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9205, scimark_benchmark: 1733.636, usercpu_time_millis: 43.802, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 39.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9307, kappa: 0.2547, kb_relative_information_score: -1044.9186, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9286, predictive_accuracy: 0.9441, prior_entropy: 0.3191, recall: 0.9441, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8941, scimark_benchmark: 1731.8712, usercpu_time_millis: 13.227, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 12.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14492.1688, 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: 0.9578, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.968, scimark_benchmark: 1841.2155, usercpu_time_millis: 25.915, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 24.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -15259.8534, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.973, scimark_benchmark: 1736.7544, usercpu_time_millis: 358.367, usercpu_time_millis_testing: 15.337, usercpu_time_millis_training: 343.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9251, kappa: 0.1691, kb_relative_information_score: -5807.0596, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.896, scimark_benchmark: 1885.2883, usercpu_time_millis: 169.974, usercpu_time_millis_testing: 15.246, usercpu_time_millis_training: 154.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.9303, kappa: 0.2746, kb_relative_information_score: -72.0627, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.982, scimark_benchmark: 1858.564, usercpu_time_millis: 138.973, usercpu_time_millis_testing: 6.596, usercpu_time_millis_training: 132.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.9289, kappa: 0.2455, kb_relative_information_score: -1322.9469, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9241, scimark_benchmark: 1799.6499, usercpu_time_millis: 79.294, usercpu_time_millis_testing: 5.048, usercpu_time_millis_training: 74.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9166, kappa: 0.0672, kb_relative_information_score: -11712.503, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9062, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9445, scimark_benchmark: 1769.613, usercpu_time_millis: 34.002, usercpu_time_millis_testing: 1.848, usercpu_time_millis_training: 32.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.9293, kappa: 0.2598, kb_relative_information_score: -766.9471, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.979, scimark_benchmark: 1809.1409, usercpu_time_millis: 235.275, usercpu_time_millis_testing: 12.501, usercpu_time_millis_training: 222.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.9255, kappa: 0.2293, kb_relative_information_score: -3203.9801, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9195, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9869, scimark_benchmark: 1731.4412, usercpu_time_millis: 169.52, usercpu_time_millis_testing: 7.793, usercpu_time_millis_training: 161.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.921, kappa: 0.1323, kb_relative_information_score: -8826.4184, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9143, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.9228, scimark_benchmark: 1738.7335, usercpu_time_millis: 132.524, usercpu_time_millis_testing: 7.239, usercpu_time_millis_training: 125.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: 3.2936, 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: 1734.7312, usercpu_time_millis: 39.127, usercpu_time_millis_testing: 6.979, usercpu_time_millis_training: 32.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.9276, kappa: 0.2389, kb_relative_information_score: -2958.3228, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9223, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9351, scimark_benchmark: 1842.7105, usercpu_time_millis: 7.148, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 6.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -20.2897, 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: 0.9991, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1803.0148, usercpu_time_millis: 9.856, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 9.214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.914, kb_relative_information_score: -7144.9954, 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: 1663.904, usercpu_time_millis: 73.516, usercpu_time_millis_testing: 8.943, usercpu_time_millis_training: 64.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9153, kappa: 0.0482, kb_relative_information_score: -11261.04, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.903, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9366, scimark_benchmark: 1849.2344, usercpu_time_millis: 9.016, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 8.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.93, kappa: 0.266, kb_relative_information_score: -141.2508, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9685, scimark_benchmark: 1897.5783, usercpu_time_millis: 69.839, usercpu_time_millis_testing: 3.962, usercpu_time_millis_training: 65.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -12985.6019, mean_absolute_error: 0.1077, 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: 0.9868, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9912, scimark_benchmark: 1738.0833, usercpu_time_millis: 190.896, usercpu_time_millis_testing: 8.925, usercpu_time_millis_training: 181.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.9141, kappa: 0.0025, kb_relative_information_score: -9801.048, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9034, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.9196, scimark_benchmark: 1765.4846, usercpu_time_millis: 62.113, usercpu_time_millis_testing: 4.923, usercpu_time_millis_training: 57.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.914, kb_relative_information_score: -10532.9873, mean_absolute_error: 0.0988, 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: 0.9055, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.9352, scimark_benchmark: 1851.6751, usercpu_time_millis: 43.613, usercpu_time_millis_testing: 3.883, usercpu_time_millis_training: 39.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -58.2928, 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: 1730.1287, usercpu_time_millis: 31.167, usercpu_time_millis_testing: 3.209, usercpu_time_millis_training: 27.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9258, kappa: 0.2203, kb_relative_information_score: -5670.1176, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9371, scimark_benchmark: 1766.105, usercpu_time_millis: 17.946, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 17.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.9299, kappa: 0.2709, kb_relative_information_score: 304.6765, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9901, scimark_benchmark: 1725.7822, usercpu_time_millis: 203.113, usercpu_time_millis_testing: 6.592, usercpu_time_millis_training: 196.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.9222, kappa: 0.2057, kb_relative_information_score: -5867.8239, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9316, prior_entropy: 0.3191, recall: 0.9316, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2362, root_relative_squared_error: 1.0114, scimark_benchmark: 1776.9421, usercpu_time_millis: 147.997, usercpu_time_millis_testing: 6.131, usercpu_time_millis_training: 141.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.9285, kappa: 0.2517, kb_relative_information_score: -1303.0304, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.9396, prior_entropy: 0.3191, recall: 0.9396, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9788, scimark_benchmark: 1762.6926, usercpu_time_millis: 118.699, usercpu_time_millis_testing: 7.718, usercpu_time_millis_training: 110.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9258, kappa: 0.182, kb_relative_information_score: -5329.373, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8955, scimark_benchmark: 1756.3944, usercpu_time_millis: 119.206, usercpu_time_millis_testing: 10.49, usercpu_time_millis_training: 108.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9141, kappa: 0.0093, kb_relative_information_score: -10813.0926, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8989, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9103, scimark_benchmark: 1765.4376, usercpu_time_millis: 157.53, usercpu_time_millis_testing: 12.084, usercpu_time_millis_training: 145.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9191, kappa: 0.0685, kb_relative_information_score: -10229.5345, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8867, scimark_benchmark: 1741.8673, usercpu_time_millis: 156.53, usercpu_time_millis_testing: 8.525, usercpu_time_millis_training: 148.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.9149, kappa: 0.0227, kb_relative_information_score: -9667.5627, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9035, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9055, scimark_benchmark: 1767.2102, usercpu_time_millis: 65.726, usercpu_time_millis_testing: 4.547, usercpu_time_millis_training: 61.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.9416, kappa: 0.4291, kb_relative_information_score: -5941.8765, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.939, predictive_accuracy: 0.9456, prior_entropy: 0.3191, recall: 0.9456, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9087, scimark_benchmark: 1727.0413, usercpu_time_millis: 8.419, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 8.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13637.9113, mean_absolute_error: 0.1007, 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: 0.9232, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1780.3714, usercpu_time_millis: 308.275, usercpu_time_millis_testing: 16.148, usercpu_time_millis_training: 292.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.9275, kappa: 0.2262, kb_relative_information_score: -4098.1412, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.923, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9144, scimark_benchmark: 1804.8246, usercpu_time_millis: 170.783, usercpu_time_millis_testing: 14.403, usercpu_time_millis_training: 156.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9227, kappa: 0.1862, kb_relative_information_score: -8710.5877, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9353, prior_entropy: 0.3191, recall: 0.9353, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9531, scimark_benchmark: 1749.5508, usercpu_time_millis: 55.139, usercpu_time_millis_testing: 2.844, usercpu_time_millis_training: 52.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -24.0509, 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: 1801.5467, usercpu_time_millis: 43.568, usercpu_time_millis_testing: 6.99, usercpu_time_millis_training: 36.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -15213.1243, mean_absolute_error: 0.1046, 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: 0.9585, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9711, scimark_benchmark: 1725.2655, usercpu_time_millis: 231.341, usercpu_time_millis_testing: 9.64, usercpu_time_millis_training: 221.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9276, kappa: 0.2391, kb_relative_information_score: -1805.3922, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9224, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9392, scimark_benchmark: 1837.1946, usercpu_time_millis: 116.723, usercpu_time_millis_testing: 11.202, usercpu_time_millis_training: 105.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -14319.5089, mean_absolute_error: 0.105, 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: 0.9622, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.967, scimark_benchmark: 1819.9448, usercpu_time_millis: 109.051, usercpu_time_millis_testing: 11.087, usercpu_time_millis_training: 97.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.927, kappa: 0.2443, kb_relative_information_score: -1969.1265, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9563, scimark_benchmark: 1765.014, usercpu_time_millis: 73.658, usercpu_time_millis_testing: 3.217, usercpu_time_millis_training: 70.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9233, kappa: 0.1967, kb_relative_information_score: -8149.3799, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9164, predictive_accuracy: 0.9352, prior_entropy: 0.3191, recall: 0.9352, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9528, scimark_benchmark: 1764.5475, usercpu_time_millis: 193.735, usercpu_time_millis_testing: 8.294, usercpu_time_millis_training: 185.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14818.1944, 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: 0.9265, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9258, scimark_benchmark: 1838.2986, usercpu_time_millis: 101.85, usercpu_time_millis_testing: 6.016, usercpu_time_millis_training: 95.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.914, kb_relative_information_score: -11000.7909, 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: 0.9885, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9919, scimark_benchmark: 1799.4547, usercpu_time_millis: 77.541, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 74.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.9254, kappa: 0.2332, kb_relative_information_score: -3298.7156, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9194, predictive_accuracy: 0.9351, prior_entropy: 0.3191, recall: 0.9351, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2359, root_relative_squared_error: 1.0103, scimark_benchmark: 1830.639, usercpu_time_millis: 24.317, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 23.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.914, kb_relative_information_score: -11740.0691, 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: 0.985, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.988, scimark_benchmark: 1755.3253, usercpu_time_millis: 5.826, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 5.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.9297, kappa: 0.2631, kb_relative_information_score: -583.1875, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9771, scimark_benchmark: 1709.4297, usercpu_time_millis: 67.05, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 64.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.9165, kappa: 0.067, kb_relative_information_score: -11459.3542, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9432, scimark_benchmark: 1733.3047, usercpu_time_millis: 31.671, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 30.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9456, kappa: 0.4516, kb_relative_information_score: -3743.8564, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9438, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.8474, scimark_benchmark: 1777.4266, usercpu_time_millis: 28.715, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 27.765,

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