Task
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: 0.7242, f_measure: 0.9302, kappa: 0.2655, kb_relative_information_score: -292.498, mean_absolute_error: 0.0683, 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: 0.6256, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9767, scimark_benchmark: 1842.8383, usercpu_time_millis: 141.694, usercpu_time_millis_testing: 7.935, usercpu_time_millis_training: 133.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -13043.6789, mean_absolute_error: 0.0988, 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: 0.9059, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.927, scimark_benchmark: 1845.9141, usercpu_time_millis: 298.6, usercpu_time_millis_testing: 14.261, usercpu_time_millis_training: 284.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.9291, kappa: 0.2465, kb_relative_information_score: -204.3694, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9572, scimark_benchmark: 1844.3569, usercpu_time_millis: 74.711, usercpu_time_millis_testing: 7.937, usercpu_time_millis_training: 66.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.9296, kappa: 0.2648, kb_relative_information_score: -388.339, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9739, scimark_benchmark: 1841.6688, usercpu_time_millis: 24.261, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 23.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14542.4286, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1825.1829, usercpu_time_millis: 165.797, usercpu_time_millis_testing: 7.724, usercpu_time_millis_training: 158.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.9271, kappa: 0.2369, kb_relative_information_score: -1212.0054, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9216, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9554, scimark_benchmark: 1836.7415, usercpu_time_millis: 163.714, usercpu_time_millis_testing: 14.576, usercpu_time_millis_training: 149.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.914, kb_relative_information_score: -12954.2601, mean_absolute_error: 0.1065, 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: 0.9762, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9797, scimark_benchmark: 1842.0492, usercpu_time_millis: 134.218, usercpu_time_millis_testing: 10.739, usercpu_time_millis_training: 123.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9164, kappa: 0.0638, kb_relative_information_score: -11481.8735, mean_absolute_error: 0.0869, 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: 0.796, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9392, scimark_benchmark: 1840.2451, usercpu_time_millis: 126.943, usercpu_time_millis_testing: 9.448, usercpu_time_millis_training: 117.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.914, kb_relative_information_score: -14579.9704, 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: 0.9699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9787, scimark_benchmark: 1833.7788, usercpu_time_millis: 114.925, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 111.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.914, kb_relative_information_score: -13358.755, 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: 0.9794, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9838, scimark_benchmark: 1826.4191, usercpu_time_millis: 93.902, usercpu_time_millis_testing: 5.381, usercpu_time_millis_training: 88.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9296, kappa: 0.2565, kb_relative_information_score: -122.7056, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9414, prior_entropy: 0.3191, recall: 0.9414, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9505, scimark_benchmark: 1840.2451, usercpu_time_millis: 66.322, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 62.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.914, kb_relative_information_score: -7955.0591, 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: 0.2324, root_relative_squared_error: 0.9951, scimark_benchmark: 1828.5517, usercpu_time_millis: 29.123, usercpu_time_millis_testing: 2.284, usercpu_time_millis_training: 26.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.914, kb_relative_information_score: -7453.4711, 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: 0.9949, scimark_benchmark: 1835.1337, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 3.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.9301, kappa: 0.2621, kb_relative_information_score: -151.8255, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9646, scimark_benchmark: 1836.6789, usercpu_time_millis: 141.784, usercpu_time_millis_testing: 7.896, usercpu_time_millis_training: 133.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.9292, kappa: 0.2509, kb_relative_information_score: -622.918, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9745, scimark_benchmark: 1831.6625, usercpu_time_millis: 109.433, usercpu_time_millis_testing: 8.959, usercpu_time_millis_training: 100.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.9263, kappa: 0.2357, kb_relative_information_score: -1743.465, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9205, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.965, scimark_benchmark: 1839.7359, usercpu_time_millis: 95.371, usercpu_time_millis_testing: 6.236, usercpu_time_millis_training: 89.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -12013.5381, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, 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: 0.2231, root_relative_squared_error: 0.9554, scimark_benchmark: 1854.4951, usercpu_time_millis: 173.692, usercpu_time_millis_testing: 9.881, usercpu_time_millis_training: 163.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.9284, kappa: 0.2463, kb_relative_information_score: -846.9963, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9726, scimark_benchmark: 1093.7192, usercpu_time_millis: 386.874, usercpu_time_millis_testing: 12.401, usercpu_time_millis_training: 374.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.9155, kappa: 0.0204, kb_relative_information_score: -12656.7659, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.9197, scimark_benchmark: 1853.531, usercpu_time_millis: 124.851, usercpu_time_millis_testing: 2.919, usercpu_time_millis_training: 121.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.914, kb_relative_information_score: -15549.0509, mean_absolute_error: 0.1065, 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: 0.9765, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9843, scimark_benchmark: 1849.3742, usercpu_time_millis: 202.441, usercpu_time_millis_testing: 9.209, usercpu_time_millis_training: 193.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: 3.4542, 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: 1854.4431, usercpu_time_millis: 73.629, usercpu_time_millis_testing: 7.258, usercpu_time_millis_training: 66.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9412, kappa: 0.3814, kb_relative_information_score: -7410.6475, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9413, predictive_accuracy: 0.9507, prior_entropy: 0.3191, recall: 0.9507, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.8463, scimark_benchmark: 1849.8294, usercpu_time_millis: 67.6, usercpu_time_millis_testing: 2.946, usercpu_time_millis_training: 64.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -25.0909, 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: 1843.2259, usercpu_time_millis: 58.002, usercpu_time_millis_testing: 7.167, usercpu_time_millis_training: 50.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.9154, kappa: 0.0489, kb_relative_information_score: -11131.7019, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9032, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9305, scimark_benchmark: 1838.1754, usercpu_time_millis: 30.198, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 28.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -14646.1026, mean_absolute_error: 0.1053, 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: 0.9651, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9762, scimark_benchmark: 1835.7111, usercpu_time_millis: 32.626, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 31.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.9158, kappa: 0.0233, kb_relative_information_score: -11618.3671, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9378, predictive_accuracy: 0.9427, prior_entropy: 0.3191, recall: 0.9427, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9034, scimark_benchmark: 1842.2604, usercpu_time_millis: 6.832, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 6.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.9306, kappa: 0.2735, kb_relative_information_score: 421.7545, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9791, scimark_benchmark: 1844.7928, usercpu_time_millis: 107.775, usercpu_time_millis_testing: 5.785, usercpu_time_millis_training: 101.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.9165, kappa: 0.0672, kb_relative_information_score: -11505.2806, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9058, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9466, scimark_benchmark: 1830.2533, usercpu_time_millis: 106.611, usercpu_time_millis_testing: 6.07, usercpu_time_millis_training: 100.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.9297, kappa: 0.2569, kb_relative_information_score: -205.68, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.964, scimark_benchmark: 1841.2811, usercpu_time_millis: 100.525, usercpu_time_millis_testing: 5.068, usercpu_time_millis_training: 95.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.9304, kappa: 0.2735, kb_relative_information_score: -470.5145, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9787, scimark_benchmark: 1827.7078, usercpu_time_millis: 263.857, usercpu_time_millis_testing: 12.258, usercpu_time_millis_training: 251.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.9266, kappa: 0.2408, kb_relative_information_score: -1932.2502, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9209, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9791, scimark_benchmark: 1826.5344, usercpu_time_millis: 192.951, usercpu_time_millis_testing: 10.671, usercpu_time_millis_training: 182.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.926, kappa: 0.2349, kb_relative_information_score: -2369.8127, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9201, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9801, scimark_benchmark: 1849.2344, usercpu_time_millis: 174.407, usercpu_time_millis_testing: 10.204, usercpu_time_millis_training: 164.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9299, kappa: 0.2556, kb_relative_information_score: -313.1293, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.9269, scimark_benchmark: 1841.2148, usercpu_time_millis: 231.855, usercpu_time_millis_testing: 17.26, usercpu_time_millis_training: 214.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.9274, kappa: 0.2383, kb_relative_information_score: -1831.8275, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.922, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9394, scimark_benchmark: 1848.388, usercpu_time_millis: 169.715, usercpu_time_millis_testing: 10.074, usercpu_time_millis_training: 159.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.914, kb_relative_information_score: -10447.0652, 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: 0.9896, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9922, scimark_benchmark: 1840.1791, usercpu_time_millis: 69.908, usercpu_time_millis_testing: 4.265, usercpu_time_millis_training: 65.643,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.9271, kappa: 0.2512, kb_relative_information_score: -2303.4423, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9936, scimark_benchmark: 1830.0121, usercpu_time_millis: 191.29, usercpu_time_millis_testing: 7.291, usercpu_time_millis_training: 183.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9298, kappa: 0.2556, kb_relative_information_score: -679.5637, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.926, scimark_benchmark: 1850.2875, usercpu_time_millis: 127.975, usercpu_time_millis_testing: 9.515, usercpu_time_millis_training: 118.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.9147, kappa: 0.0397, kb_relative_information_score: -11706.1682, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9558, scimark_benchmark: 1837.9312, usercpu_time_millis: 107.106, usercpu_time_millis_testing: 6.453, usercpu_time_millis_training: 100.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9153, kappa: 0.0487, kb_relative_information_score: -11137.787, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.903, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9305, scimark_benchmark: 1851.4874, usercpu_time_millis: 99.305, usercpu_time_millis_testing: 7.662, usercpu_time_millis_training: 91.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.9199, kappa: 0.0961, kb_relative_information_score: -7554.0613, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9176, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8985, scimark_benchmark: 1851.3986, usercpu_time_millis: 96.205, usercpu_time_millis_testing: 8.018, usercpu_time_millis_training: 88.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.9302, kappa: 0.2248, kb_relative_information_score: -8224.216, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9365, predictive_accuracy: 0.9472, prior_entropy: 0.3191, recall: 0.9472, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.8592, scimark_benchmark: 1852.9988, usercpu_time_millis: 84.499, usercpu_time_millis_testing: 5.688, usercpu_time_millis_training: 78.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.9147, kappa: 0.0257, kb_relative_information_score: -10918.3571, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9016, predictive_accuracy: 0.9396, prior_entropy: 0.3191, recall: 0.9396, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9161, scimark_benchmark: 1850.2875, usercpu_time_millis: 81.154, usercpu_time_millis_testing: 7.254, usercpu_time_millis_training: 73.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.914, kb_relative_information_score: -9343.84, 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: 0.9927, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9951, scimark_benchmark: 1850.8706, usercpu_time_millis: 80.727, usercpu_time_millis_testing: 6.07, usercpu_time_millis_training: 74.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9449, kappa: 0.4341, kb_relative_information_score: -4912.4488, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9439, predictive_accuracy: 0.9521, prior_entropy: 0.3191, recall: 0.9521, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8413, scimark_benchmark: 1827.3632, usercpu_time_millis: 71.296, usercpu_time_millis_testing: 3.27, usercpu_time_millis_training: 68.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, f_measure: 0.9142, kappa: 0.002, kb_relative_information_score: -12514.0807, mean_absolute_error: 0.1079, 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: 0.989, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1853.9121, usercpu_time_millis: 73.947, usercpu_time_millis_testing: 3.747, usercpu_time_millis_training: 70.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.9307, kappa: 0.2726, kb_relative_information_score: 906.1858, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9267, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9598, scimark_benchmark: 1834.2954, usercpu_time_millis: 69.796, usercpu_time_millis_testing: 4.122, usercpu_time_millis_training: 65.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.914, kb_relative_information_score: -13624.1031, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9832, scimark_benchmark: 1849.7595, usercpu_time_millis: 65.189, usercpu_time_millis_testing: 3.751, usercpu_time_millis_training: 61.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.914, kb_relative_information_score: -13527.4456, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9832, scimark_benchmark: 1835.2659, usercpu_time_millis: 63.504, usercpu_time_millis_testing: 4.847, usercpu_time_millis_training: 58.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11789.1681, mean_absolute_error: 0.0873, 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: 0.8001, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9376, scimark_benchmark: 1834.9836, usercpu_time_millis: 52.666, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 50.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: 1.6717, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 54.433, usercpu_time_millis_testing: 6.598, usercpu_time_millis_training: 47.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -30.3215, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 36.978, usercpu_time_millis_testing: 5.612, usercpu_time_millis_training: 31.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.9291, kappa: 0.2498, kb_relative_information_score: -708.4208, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9754, scimark_benchmark: 1829.4132, usercpu_time_millis: 30.062, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 28.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9306, kappa: 0.2654, kb_relative_information_score: 489.5271, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9561, scimark_benchmark: 1847.7442, usercpu_time_millis: 24.4, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 23.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.914, kb_relative_information_score: -10279.9985, 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: 0.9897, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9928, scimark_benchmark: 1853.9121, usercpu_time_millis: 20.842, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 19.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.9294, kappa: 0.2444, kb_relative_information_score: 306.502, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9264, scimark_benchmark: 1853.5818, usercpu_time_millis: 18.037, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 17.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9284, kappa: 0.2461, kb_relative_information_score: -790.754, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9234, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9469, scimark_benchmark: 1846.7041, usercpu_time_millis: 19.475, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 18.586,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.9306, kappa: 0.2493, kb_relative_information_score: -761.7681, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9293, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8905, scimark_benchmark: 1846.7651, usercpu_time_millis: 167.882, usercpu_time_millis_testing: 15.331, usercpu_time_millis_training: 152.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14429.7431, mean_absolute_error: 0.1046, 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: 0.9584, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9675, scimark_benchmark: 1850.8185, usercpu_time_millis: 152.438, usercpu_time_millis_testing: 10.79, usercpu_time_millis_training: 141.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -12359.1411, mean_absolute_error: 0.1005, 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: 0.921, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9255, scimark_benchmark: 1851.3986, usercpu_time_millis: 143.93, usercpu_time_millis_testing: 14.996, usercpu_time_millis_training: 128.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.9224, kappa: 0.2004, kb_relative_information_score: -7361.0373, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9328, prior_entropy: 0.3191, recall: 0.9328, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9799, scimark_benchmark: 1847.7335, usercpu_time_millis: 131.254, usercpu_time_millis_testing: 5.738, usercpu_time_millis_training: 125.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.917, kappa: 0.0396, kb_relative_information_score: -14141.8208, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9403, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.904, scimark_benchmark: 1853.9121, usercpu_time_millis: 124.447, usercpu_time_millis_testing: 13.874, usercpu_time_millis_training: 110.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9164, kappa: 0.0628, kb_relative_information_score: -11008.2406, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9303, scimark_benchmark: 1874.3894, usercpu_time_millis: 102.48, usercpu_time_millis_testing: 7.824, usercpu_time_millis_training: 94.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.914, kb_relative_information_score: -10396.6584, 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: 0.9901, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.993, scimark_benchmark: 1853.9121, usercpu_time_millis: 89.281, usercpu_time_millis_testing: 6.571, usercpu_time_millis_training: 82.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14244.7884, mean_absolute_error: 0.1057, 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: 0.9685, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9773, scimark_benchmark: 1853.9121, usercpu_time_millis: 81.274, usercpu_time_millis_testing: 4, usercpu_time_millis_training: 77.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.9291, kappa: 0.2447, kb_relative_information_score: -291.3331, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9554, scimark_benchmark: 1849.2344, usercpu_time_millis: 77.405, usercpu_time_millis_testing: 6.427, usercpu_time_millis_training: 70.978,

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