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: 0.735, f_measure: 0.914, kb_relative_information_score: -15688.6016, mean_absolute_error: 0.1058, 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: 0.9694, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9794, scimark_benchmark: 1709.0171, usercpu_time_millis: 152.082, usercpu_time_millis_testing: 4.766, usercpu_time_millis_training: 147.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -2207.5655, mean_absolute_error: 0.1098, 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: 1.0067, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1848.321, usercpu_time_millis: 5.316, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 5.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.914, kb_relative_information_score: -6911.927, 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: 0.993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9945, scimark_benchmark: 1848.388, usercpu_time_millis: 7.167, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 6.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.914, kb_relative_information_score: -11509.533, mean_absolute_error: 0.0945, 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: 0.8659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9207, scimark_benchmark: 1846.8201, usercpu_time_millis: 113.142, usercpu_time_millis_testing: 10.485, usercpu_time_millis_training: 102.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -6.9212, 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: 1844.677, usercpu_time_millis: 45.034, usercpu_time_millis_testing: 7.437, usercpu_time_millis_training: 37.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12604.9375, mean_absolute_error: 0.0996, 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: 0.9133, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9304, scimark_benchmark: 1795.0589, usercpu_time_millis: 33.68, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 32.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.9218, kappa: 0.1082, kb_relative_information_score: -9132.1211, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9331, predictive_accuracy: 0.9444, prior_entropy: 0.3191, recall: 0.9444, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8868, scimark_benchmark: 1822.697, usercpu_time_millis: 23.704, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 21.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.9163, kappa: 0.059, kb_relative_information_score: -10006.2604, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9056, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.9146, scimark_benchmark: 1734.9606, usercpu_time_millis: 239.955, usercpu_time_millis_testing: 18.41, usercpu_time_millis_training: 221.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.9242, kappa: 0.1578, kb_relative_information_score: -5782.4975, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9229, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8954, scimark_benchmark: 1710.4178, usercpu_time_millis: 221.495, usercpu_time_millis_testing: 18.919, usercpu_time_millis_training: 202.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.914, kb_relative_information_score: -6995.1647, mean_absolute_error: 0.1087, 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: 0.9961, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9973, scimark_benchmark: 1818.8103, usercpu_time_millis: 102.986, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 95.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.914, kb_relative_information_score: -8775.7969, 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: 0.2325, root_relative_squared_error: 0.9954, scimark_benchmark: 1847.8629, usercpu_time_millis: 60.452, usercpu_time_millis_testing: 5.284, usercpu_time_millis_training: 55.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.9199, kappa: 0.1153, kb_relative_information_score: -9509.311, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9125, predictive_accuracy: 0.9386, prior_entropy: 0.3191, recall: 0.9386, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.217, root_relative_squared_error: 0.929, scimark_benchmark: 1850.3603, usercpu_time_millis: 26.783, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 25.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9285, kappa: 0.253, kb_relative_information_score: -966.8592, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9234, predictive_accuracy: 0.9393, prior_entropy: 0.3191, recall: 0.9393, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9625, scimark_benchmark: 2134.2056, usercpu_time_millis: 165.041, usercpu_time_millis_testing: 10.55, usercpu_time_millis_training: 154.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.914, kb_relative_information_score: -6399.0558, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.997, scimark_benchmark: 1842.3843, usercpu_time_millis: 6.05, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 5.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14642.3524, 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: 0.2258, root_relative_squared_error: 0.967, scimark_benchmark: 1757.737, usercpu_time_millis: 201.938, usercpu_time_millis_testing: 11.817, usercpu_time_millis_training: 190.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.9309, kappa: 0.2806, kb_relative_information_score: -99.1325, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9774, scimark_benchmark: 1841.7546, usercpu_time_millis: 166.34, usercpu_time_millis_testing: 7.781, usercpu_time_millis_training: 158.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -11994.133, mean_absolute_error: 0.1033, 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: 0.9464, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9567, scimark_benchmark: 1835.6067, usercpu_time_millis: 122.187, usercpu_time_millis_testing: 10.666, usercpu_time_millis_training: 111.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9438, kappa: 0.4153, kb_relative_information_score: -5679.0038, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9435, predictive_accuracy: 0.952, prior_entropy: 0.3191, recall: 0.952, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.8398, scimark_benchmark: 1846.1643, usercpu_time_millis: 80.258, usercpu_time_millis_testing: 3.823, usercpu_time_millis_training: 76.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.9227, kappa: 0.1187, kb_relative_information_score: -14987.0657, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9365, predictive_accuracy: 0.945, prior_entropy: 0.3191, recall: 0.945, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8834, scimark_benchmark: 1854.568, usercpu_time_millis: 104.924, usercpu_time_millis_testing: 7.129, usercpu_time_millis_training: 97.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -20.8343, 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: 1839.6694, usercpu_time_millis: 14.664, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 13.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14326.871, 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: 0.2226, root_relative_squared_error: 0.9533, scimark_benchmark: 1849.7595, usercpu_time_millis: 285.837, usercpu_time_millis_testing: 12.771, usercpu_time_millis_training: 273.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14246.2939, mean_absolute_error: 0.1008, 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: 0.924, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9278, scimark_benchmark: 1742.1923, usercpu_time_millis: 262.861, usercpu_time_millis_testing: 29.348, usercpu_time_millis_training: 233.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.914, kb_relative_information_score: -9621.4437, mean_absolute_error: 0.0943, 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: 0.8647, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9205, scimark_benchmark: 1737.5442, usercpu_time_millis: 134.139, usercpu_time_millis_testing: 8.41, usercpu_time_millis_training: 125.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13748.1604, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9767, scimark_benchmark: 1129.4462, usercpu_time_millis: 102.849, usercpu_time_millis_testing: 7.706, usercpu_time_millis_training: 95.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9149, kappa: 0.0405, kb_relative_information_score: -10790.1891, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9018, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9248, scimark_benchmark: 1845.181, usercpu_time_millis: 90.029, usercpu_time_millis_testing: 6.892, usercpu_time_millis_training: 83.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.914, kb_relative_information_score: -9126.6182, 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: 0.9922, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9946, scimark_benchmark: 1745.8192, usercpu_time_millis: 66.999, usercpu_time_millis_testing: 4.009, usercpu_time_millis_training: 62.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.914, kb_relative_information_score: -11995.4824, 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: 0.2299, root_relative_squared_error: 0.9846, scimark_benchmark: 1113.8089, usercpu_time_millis: 37.491, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 35.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.9298, kappa: 0.2633, kb_relative_information_score: -599.1139, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1815.1139, usercpu_time_millis: 251.259, usercpu_time_millis_testing: 13.348, usercpu_time_millis_training: 237.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14762.7404, mean_absolute_error: 0.1061, 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: 0.9727, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9814, scimark_benchmark: 1852.0126, usercpu_time_millis: 115.29, usercpu_time_millis_testing: 5.051, usercpu_time_millis_training: 110.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -14129.9084, mean_absolute_error: 0.1048, 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: 0.9608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9675, scimark_benchmark: 1815.9966, usercpu_time_millis: 35.674, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 33.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.914, kb_relative_information_score: -13399.2213, mean_absolute_error: 0.1067, 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: 0.9777, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.98, scimark_benchmark: 1825.1988, usercpu_time_millis: 10.01, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 9.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.9272, kappa: 0.2552, kb_relative_information_score: -1893.8045, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.9362, prior_entropy: 0.3191, recall: 0.9362, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2341, root_relative_squared_error: 1.0024, scimark_benchmark: 1745.0687, usercpu_time_millis: 284.009, usercpu_time_millis_testing: 13.309, usercpu_time_millis_training: 270.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9145, kappa: 0.0346, kb_relative_information_score: -12204.8735, mean_absolute_error: 0.0867, 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: 0.7946, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9508, scimark_benchmark: 1817.5051, usercpu_time_millis: 244.993, usercpu_time_millis_testing: 9.692, usercpu_time_millis_training: 235.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.9147, kappa: 0.0332, kb_relative_information_score: -10912.3565, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9013, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9181, scimark_benchmark: 1818.3938, usercpu_time_millis: 121.522, usercpu_time_millis_testing: 9.117, usercpu_time_millis_training: 112.405,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14305.0378, mean_absolute_error: 0.1043, 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: 0.9563, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9671, scimark_benchmark: 1853.3841, usercpu_time_millis: 234.117, usercpu_time_millis_testing: 16.483, usercpu_time_millis_training: 217.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.9177, kappa: 0.0497, kb_relative_information_score: -13249.3846, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9383, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9015, scimark_benchmark: 1725.3223, usercpu_time_millis: 258.393, usercpu_time_millis_testing: 10.039, usercpu_time_millis_training: 248.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9253, kappa: 0.2, kb_relative_information_score: -6796.4514, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9197, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9238, scimark_benchmark: 2076.6085, usercpu_time_millis: 106.386, usercpu_time_millis_testing: 9.561, usercpu_time_millis_training: 96.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9292, kappa: 0.2551, kb_relative_information_score: -339.4792, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9539, scimark_benchmark: 1840.3077, usercpu_time_millis: 52.14, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 49.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.9248, kappa: 0.2062, kb_relative_information_score: -6834.4766, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9186, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.935, scimark_benchmark: 1847.2191, usercpu_time_millis: 31.528, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 30.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.914, kb_relative_information_score: -10396.8175, 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: 0.9907, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1848.7762, usercpu_time_millis: 110.186, usercpu_time_millis_testing: 7.625, usercpu_time_millis_training: 102.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9301, kappa: 0.265, kb_relative_information_score: -113.0048, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9414, prior_entropy: 0.3191, recall: 0.9414, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9549, scimark_benchmark: 1852.0126, usercpu_time_millis: 151.857, usercpu_time_millis_testing: 11.191, usercpu_time_millis_training: 140.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9368, kappa: 0.3162, kb_relative_information_score: -10171.6484, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9396, predictive_accuracy: 0.9495, prior_entropy: 0.3191, recall: 0.9495, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.8654, scimark_benchmark: 1855.6669, usercpu_time_millis: 3.211, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 3.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.9272, kappa: 0.2542, kb_relative_information_score: -2109.4762, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0016, scimark_benchmark: 2122.5927, usercpu_time_millis: 166.858, usercpu_time_millis_testing: 6.287, usercpu_time_millis_training: 160.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.9289, kappa: 0.2066, kb_relative_information_score: -9260.3684, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9467, prior_entropy: 0.3191, recall: 0.9467, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.866, scimark_benchmark: 1853.9121, usercpu_time_millis: 121.525, usercpu_time_millis_testing: 4.644, usercpu_time_millis_training: 116.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.9149, kappa: 0.0119, kb_relative_information_score: -11817.5616, mean_absolute_error: 0.0964, 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: 0.8834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.9091, scimark_benchmark: 1853.9121, usercpu_time_millis: 156.676, usercpu_time_millis_testing: 8.152, usercpu_time_millis_training: 148.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.9164, kappa: 0.0638, kb_relative_information_score: -11025.6235, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9056, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9287, scimark_benchmark: 1716.3734, usercpu_time_millis: 129.884, usercpu_time_millis_testing: 13.304, usercpu_time_millis_training: 116.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.914, kb_relative_information_score: -8670.4398, 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: 0.9929, scimark_benchmark: 1728.8693, usercpu_time_millis: 52.434, usercpu_time_millis_testing: 6.795, usercpu_time_millis_training: 45.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.9269, kappa: 0.243, kb_relative_information_score: -1186.4389, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9212, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9725, scimark_benchmark: 1728.8693, usercpu_time_millis: 152.039, usercpu_time_millis_testing: 6.68, usercpu_time_millis_training: 145.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.914, kb_relative_information_score: -13822.2776, mean_absolute_error: 0.1061, 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: 0.9729, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9796, scimark_benchmark: 1708.9107, usercpu_time_millis: 141.192, usercpu_time_millis_testing: 8.133, usercpu_time_millis_training: 133.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.9229, kappa: 0.1222, kb_relative_information_score: -17117.8521, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9349, predictive_accuracy: 0.9449, prior_entropy: 0.3191, recall: 0.9449, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.891, scimark_benchmark: 1725.7822, usercpu_time_millis: 11.884, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 11.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.9167, kappa: 0.0702, kb_relative_information_score: -11282.3734, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9062, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9421, scimark_benchmark: 1846.2416, usercpu_time_millis: 49.783, usercpu_time_millis_testing: 3.199, usercpu_time_millis_training: 46.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.914, kb_relative_information_score: -6281.6568, mean_absolute_error: 0.1087, 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: 0.9961, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9971, scimark_benchmark: 1732.0396, usercpu_time_millis: 7.686, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 7.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.914, kappa: 0.0234, kb_relative_information_score: -9951.1309, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8985, predictive_accuracy: 0.9381, prior_entropy: 0.3191, recall: 0.9381, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9225, scimark_benchmark: 1837.586, usercpu_time_millis: 98.613, usercpu_time_millis_testing: 5.423, usercpu_time_millis_training: 93.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.928, kappa: 0.2486, kb_relative_information_score: -1005.7133, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9227, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9623, scimark_benchmark: 2034.5618, usercpu_time_millis: 189.433, usercpu_time_millis_testing: 11.402, usercpu_time_millis_training: 178.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.9266, kappa: 0.2517, kb_relative_information_score: -2206.6338, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.9354, prior_entropy: 0.3191, recall: 0.9354, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2373, root_relative_squared_error: 1.0161, scimark_benchmark: 1850.2875, usercpu_time_millis: 180.377, usercpu_time_millis_testing: 6.57, usercpu_time_millis_training: 173.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -11930.0514, mean_absolute_error: 0.1006, 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: 0.9218, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9321, scimark_benchmark: 1844.6953, usercpu_time_millis: 163.767, usercpu_time_millis_testing: 15.894, usercpu_time_millis_training: 147.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.9178, kappa: 0.0834, kb_relative_information_score: -9593.257, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9089, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.9217, scimark_benchmark: 1849.7595, usercpu_time_millis: 149.969, usercpu_time_millis_testing: 10.178, usercpu_time_millis_training: 139.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.9288, kappa: 0.2529, kb_relative_information_score: -787.7241, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.924, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9759, scimark_benchmark: 2149.8037, usercpu_time_millis: 123.146, usercpu_time_millis_testing: 8.231, usercpu_time_millis_training: 114.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9173, kappa: 0.075, kb_relative_information_score: -10082.0727, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9078, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.9229, scimark_benchmark: 1850.3885, usercpu_time_millis: 62.747, usercpu_time_millis_testing: 4.561, usercpu_time_millis_training: 58.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9236, kappa: 0.1996, kb_relative_information_score: -8007.5017, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9168, predictive_accuracy: 0.9354, prior_entropy: 0.3191, recall: 0.9354, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9527, scimark_benchmark: 1740.5136, usercpu_time_millis: 106.175, usercpu_time_millis_testing: 7.498, usercpu_time_millis_training: 98.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.9148, kappa: 0.0107, kb_relative_information_score: -14839.117, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9369, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9218, scimark_benchmark: 1739.5967, usercpu_time_millis: 35.217, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 33.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14032.6188, mean_absolute_error: 0.1008, 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: 0.9236, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9336, scimark_benchmark: 1833.6579, usercpu_time_millis: 56.913, usercpu_time_millis_testing: 2.973, usercpu_time_millis_training: 53.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.914, kb_relative_information_score: -12367.7998, 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: 0.9852, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9895, scimark_benchmark: 1726.1218, usercpu_time_millis: 29.813, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 29.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.9143, kappa: 0.0038, kb_relative_information_score: -15836.9149, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9733, scimark_benchmark: 1849.3742, usercpu_time_millis: 8.229, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 7.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -13995.2255, mean_absolute_error: 0.104, 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: 0.9528, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9608, scimark_benchmark: 1736.4021, usercpu_time_millis: 9.868, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 9.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.9304, kappa: 0.2759, kb_relative_information_score: 110.5579, mean_absolute_error: 0.0679, 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: 0.6222, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9831, scimark_benchmark: 1854.9533, usercpu_time_millis: 155.65, usercpu_time_millis_testing: 7.273, usercpu_time_millis_training: 148.377,

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

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