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: 0.8215, f_measure: 0.9226, kappa: 0.2049, kb_relative_information_score: -7652.159, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9159, predictive_accuracy: 0.9327, prior_entropy: 0.3191, recall: 0.9327, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9704, scimark_benchmark: 1853.9121, usercpu_time_millis: 163.992, usercpu_time_millis_testing: 7.553, usercpu_time_millis_training: 156.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.923, kappa: 0.16, kb_relative_information_score: -8538.0377, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9173, predictive_accuracy: 0.9395, prior_entropy: 0.3191, recall: 0.9395, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.923, scimark_benchmark: 1799.3246, usercpu_time_millis: 171.339, usercpu_time_millis_testing: 10.342, usercpu_time_millis_training: 160.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.9247, kappa: 0.217, kb_relative_information_score: -4786.246, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9184, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9731, scimark_benchmark: 1855.4813, usercpu_time_millis: 181.123, usercpu_time_millis_testing: 10.914, usercpu_time_millis_training: 170.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13550.2017, mean_absolute_error: 0.0999, 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: 0.9158, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9329, scimark_benchmark: 1844.8847, usercpu_time_millis: 276.919, usercpu_time_millis_testing: 12.64, usercpu_time_millis_training: 264.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14051.488, mean_absolute_error: 0.1012, 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: 0.9274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9418, scimark_benchmark: 1849.4154, usercpu_time_millis: 268.767, usercpu_time_millis_testing: 12.472, usercpu_time_millis_training: 256.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13315.7217, mean_absolute_error: 0.0994, 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: 0.9109, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9294, scimark_benchmark: 1835.621, usercpu_time_millis: 277.572, usercpu_time_millis_testing: 11.683, usercpu_time_millis_training: 265.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.9292, kappa: 0.2523, kb_relative_information_score: -560.6572, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9765, scimark_benchmark: 1798.7937, usercpu_time_millis: 146.882, usercpu_time_millis_testing: 8.698, usercpu_time_millis_training: 138.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.9306, kappa: 0.2749, kb_relative_information_score: -93.0202, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9787, scimark_benchmark: 1804.7288, usercpu_time_millis: 228.019, usercpu_time_millis_testing: 11.979, usercpu_time_millis_training: 216.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13972.3807, mean_absolute_error: 0.1012, 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: 0.9274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9415, scimark_benchmark: 1845.181, usercpu_time_millis: 215.13, usercpu_time_millis_testing: 11.139, usercpu_time_millis_training: 203.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9149, kappa: 0.0404, kb_relative_information_score: -11751.6215, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9017, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9466, scimark_benchmark: 1796.763, usercpu_time_millis: 141.561, usercpu_time_millis_testing: 8.841, usercpu_time_millis_training: 132.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9297, kappa: 0.2575, kb_relative_information_score: -160.1066, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9414, prior_entropy: 0.3191, recall: 0.9414, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9716, scimark_benchmark: 1730.9334, usercpu_time_millis: 210.549, usercpu_time_millis_testing: 14.958, usercpu_time_millis_training: 195.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -11899.4689, mean_absolute_error: 0.1012, 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: 0.9275, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9393, scimark_benchmark: 1853.9121, usercpu_time_millis: 159.774, usercpu_time_millis_testing: 14.539, usercpu_time_millis_training: 145.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14484.7348, mean_absolute_error: 0.1049, 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: 0.9611, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9703, scimark_benchmark: 1832.5979, usercpu_time_millis: 160.139, usercpu_time_millis_testing: 9.953, usercpu_time_millis_training: 150.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13184.5189, mean_absolute_error: 0.1029, 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: 0.9429, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9547, scimark_benchmark: 1793.4178, usercpu_time_millis: 133.4, usercpu_time_millis_testing: 10.147, usercpu_time_millis_training: 123.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9305, kappa: 0.2736, kb_relative_information_score: 640.5615, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9799, scimark_benchmark: 1850.2875, usercpu_time_millis: 135.566, usercpu_time_millis_testing: 6.192, usercpu_time_millis_training: 129.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -11873.5587, mean_absolute_error: 0.0966, 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: 0.8851, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9068, scimark_benchmark: 1799.9077, usercpu_time_millis: 127.287, usercpu_time_millis_testing: 7.896, usercpu_time_millis_training: 119.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.9233, kappa: 0.168, kb_relative_information_score: -8874.5259, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9174, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9302, scimark_benchmark: 1830.5826, usercpu_time_millis: 152.8, usercpu_time_millis_testing: 9.99, usercpu_time_millis_training: 142.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9155, kappa: 0.05, kb_relative_information_score: -10483.2633, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9035, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.952, scimark_benchmark: 1851.8567, usercpu_time_millis: 152.853, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 144.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.9234, kappa: 0.1909, kb_relative_information_score: -8621.8858, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9166, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9473, scimark_benchmark: 1836.6101, usercpu_time_millis: 151.151, usercpu_time_millis_testing: 8.807, usercpu_time_millis_training: 142.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.9277, kappa: 0.2594, kb_relative_information_score: -1628.1231, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9224, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9855, scimark_benchmark: 1853.9121, usercpu_time_millis: 205.567, usercpu_time_millis_testing: 10.619, usercpu_time_millis_training: 194.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.9253, kappa: 0.2238, kb_relative_information_score: -3955.2301, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.936, prior_entropy: 0.3191, recall: 0.936, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9636, scimark_benchmark: 1853.9121, usercpu_time_millis: 122.742, usercpu_time_millis_testing: 5.774, usercpu_time_millis_training: 116.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.9144, kappa: 0.0062, kb_relative_information_score: -18624.2994, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9091, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.979, scimark_benchmark: 1853.9121, usercpu_time_millis: 231.012, usercpu_time_millis_testing: 7.056, usercpu_time_millis_training: 223.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14172.9176, mean_absolute_error: 0.1015, 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: 0.9306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9486, scimark_benchmark: 1836.0792, usercpu_time_millis: 117.713, usercpu_time_millis_testing: 4.872, usercpu_time_millis_training: 112.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.9302, kappa: 0.265, kb_relative_information_score: -194.7255, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9719, scimark_benchmark: 1836.0792, usercpu_time_millis: 224.301, usercpu_time_millis_testing: 11.462, usercpu_time_millis_training: 212.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.9302, kappa: 0.2758, kb_relative_information_score: 1010.4203, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9906, scimark_benchmark: 1808.9842, usercpu_time_millis: 231.642, usercpu_time_millis_testing: 8.949, usercpu_time_millis_training: 222.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.914, kb_relative_information_score: -11841.6598, 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: 0.9701, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9755, scimark_benchmark: 1851.3287, usercpu_time_millis: 171.702, usercpu_time_millis_testing: 17.536, usercpu_time_millis_training: 154.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.9266, kappa: 0.2356, kb_relative_information_score: -1321.9991, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9209, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9769, scimark_benchmark: 1855.4813, usercpu_time_millis: 102.192, usercpu_time_millis_testing: 6.903, usercpu_time_millis_training: 95.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.929, kappa: 0.249, kb_relative_information_score: -607.44, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.976, scimark_benchmark: 1857.5664, usercpu_time_millis: 127.906, usercpu_time_millis_testing: 8.102, usercpu_time_millis_training: 119.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -12060.9817, mean_absolute_error: 0.1024, 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: 0.9384, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9491, scimark_benchmark: 1850.4154, usercpu_time_millis: 169.548, usercpu_time_millis_testing: 15.61, usercpu_time_millis_training: 153.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.914, kb_relative_information_score: -12014.6209, 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: 0.9854, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9889, scimark_benchmark: 1846.2342, usercpu_time_millis: 119.718, usercpu_time_millis_testing: 8.472, usercpu_time_millis_training: 111.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -12106.5356, mean_absolute_error: 0.1027, 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: 0.9411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9515, scimark_benchmark: 1839.0605, usercpu_time_millis: 105.419, usercpu_time_millis_testing: 9.191, usercpu_time_millis_training: 96.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.9297, kappa: 0.2537, kb_relative_information_score: 164.8234, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.217, root_relative_squared_error: 0.929, scimark_benchmark: 1832.1397, usercpu_time_millis: 90.757, usercpu_time_millis_testing: 7.558, usercpu_time_millis_training: 83.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9197, kappa: 0.0766, kb_relative_information_score: -11813.6178, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8923, scimark_benchmark: 1834.1671, usercpu_time_millis: 118.768, usercpu_time_millis_testing: 3.853, usercpu_time_millis_training: 114.915,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.914, kb_relative_information_score: -10464.0221, 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: 0.232, root_relative_squared_error: 0.9933, scimark_benchmark: 1836.0792, usercpu_time_millis: 110.515, usercpu_time_millis_testing: 5.727, usercpu_time_millis_training: 104.788,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.914, kb_relative_information_score: -13090.9589, mean_absolute_error: 0.1057, 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: 0.9693, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9761, scimark_benchmark: 1848.2539, usercpu_time_millis: 151.729, usercpu_time_millis_testing: 13.668, usercpu_time_millis_training: 138.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.914, kb_relative_information_score: -12321.6945, 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: 1853.3841, usercpu_time_millis: 118.387, usercpu_time_millis_testing: 5.813, usercpu_time_millis_training: 112.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13659.104, mean_absolute_error: 0.1016, 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: 0.9309, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9475, scimark_benchmark: 1839.1303, usercpu_time_millis: 173.879, usercpu_time_millis_testing: 9.711, usercpu_time_millis_training: 164.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.914, kb_relative_information_score: -11266.6191, mean_absolute_error: 0.1074, 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: 0.9848, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9883, scimark_benchmark: 1853.9121, usercpu_time_millis: 55.577, usercpu_time_millis_testing: 6.682, usercpu_time_millis_training: 48.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.914, kb_relative_information_score: -8456.0119, 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: 0.9929, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9947, scimark_benchmark: 1849.447, usercpu_time_millis: 69.648, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 64.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.9274, kappa: 0.2592, kb_relative_information_score: -1780.9921, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.922, predictive_accuracy: 0.9361, prior_entropy: 0.3191, recall: 0.9361, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9972, scimark_benchmark: 1842.3224, usercpu_time_millis: 121.113, usercpu_time_millis_testing: 4.598, usercpu_time_millis_training: 116.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.9245, kappa: 0.1444, kb_relative_information_score: -12756.7447, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9455, prior_entropy: 0.3191, recall: 0.9455, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.879, scimark_benchmark: 1840.1715, usercpu_time_millis: 164.287, usercpu_time_millis_testing: 8.632, usercpu_time_millis_training: 155.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.9295, kappa: 0.2489, kb_relative_information_score: -387.2941, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9258, scimark_benchmark: 1846.6923, usercpu_time_millis: 111.97, usercpu_time_millis_testing: 8.436, usercpu_time_millis_training: 103.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.9305, kappa: 0.2702, kb_relative_information_score: 1265.3287, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9639, scimark_benchmark: 1802.471, usercpu_time_millis: 40.837, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 39.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9153, kappa: 0.0467, kb_relative_information_score: -10773.2446, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9029, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9288, scimark_benchmark: 1850.2875, usercpu_time_millis: 64.241, usercpu_time_millis_testing: 4.908, usercpu_time_millis_training: 59.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.9302, kappa: 0.2659, kb_relative_information_score: -174.4644, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9748, scimark_benchmark: 1851.3986, usercpu_time_millis: 135.186, usercpu_time_millis_testing: 7.432, usercpu_time_millis_training: 127.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.914, kb_relative_information_score: -6912.533, 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: 0.9959, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9971, scimark_benchmark: 1854.9533, usercpu_time_millis: 62.994, usercpu_time_millis_testing: 5.919, usercpu_time_millis_training: 57.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.9306, kappa: 0.2735, kb_relative_information_score: -183.4534, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1857.5664, usercpu_time_millis: 33.326, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 32.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.9245, kappa: 0.1785, kb_relative_information_score: -6845.2223, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9197, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.9111, scimark_benchmark: 1845.1936, usercpu_time_millis: 32.123, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 30.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.9297, kappa: 0.2566, kb_relative_information_score: -373.5075, mean_absolute_error: 0.0701, 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: 0.6421, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9497, scimark_benchmark: 1827.287, usercpu_time_millis: 59.768, usercpu_time_millis_testing: 3.273, usercpu_time_millis_training: 56.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.9299, kappa: 0.2625, kb_relative_information_score: -435.3898, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9774, scimark_benchmark: 1816.7102, usercpu_time_millis: 158.821, usercpu_time_millis_testing: 7.767, usercpu_time_millis_training: 151.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.9391, kappa: 0.3493, kb_relative_information_score: -8759.9355, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9407, predictive_accuracy: 0.9503, prior_entropy: 0.3191, recall: 0.9503, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.8498, scimark_benchmark: 1853.3841, usercpu_time_millis: 42.385, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 41.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.9163, kappa: 0.0631, kb_relative_information_score: -11680.5143, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9055, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9441, scimark_benchmark: 1853.3841, usercpu_time_millis: 134.96, usercpu_time_millis_testing: 9.374, usercpu_time_millis_training: 125.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -35.8452, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1798.7937, usercpu_time_millis: 38.778, usercpu_time_millis_testing: 5.753, usercpu_time_millis_training: 33.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9259, kappa: 0.1978, kb_relative_information_score: -5946.0019, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.91, scimark_benchmark: 1848.2615, usercpu_time_millis: 154.947, usercpu_time_millis_testing: 12.878, usercpu_time_millis_training: 142.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.914, kb_relative_information_score: -15432.6481, mean_absolute_error: 0.1064, 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: 0.975, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9831, scimark_benchmark: 1119.5234, usercpu_time_millis: 147.068, usercpu_time_millis_testing: 6.446, usercpu_time_millis_training: 140.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.914, kb_relative_information_score: -7373.858, mean_absolute_error: 0.1021, 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: 0.9356, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9528, scimark_benchmark: 1853.9121, usercpu_time_millis: 52.434, usercpu_time_millis_testing: 6.751, usercpu_time_millis_training: 45.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.9286, kappa: 0.2495, kb_relative_information_score: -933.7923, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9238, 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: 0.228, root_relative_squared_error: 0.9761, scimark_benchmark: 1850.2875, usercpu_time_millis: 55.448, usercpu_time_millis_testing: 3.302, usercpu_time_millis_training: 52.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.9292, kappa: 0.2518, kb_relative_information_score: -532.1344, mean_absolute_error: 0.0697, 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: 0.6384, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.962, scimark_benchmark: 1848.7925, usercpu_time_millis: 149.864, usercpu_time_millis_testing: 7.924, usercpu_time_millis_training: 141.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.914, kb_relative_information_score: -6591.0002, 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: 0.996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.998, scimark_benchmark: 1824.7134, usercpu_time_millis: 53.794, usercpu_time_millis_testing: 6.06, usercpu_time_millis_training: 47.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14018.1614, mean_absolute_error: 0.1056, 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: 0.9679, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9757, scimark_benchmark: 1838.6023, usercpu_time_millis: 146.32, usercpu_time_millis_testing: 10.373, usercpu_time_millis_training: 135.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -16428.0914, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9462, scimark_benchmark: 1803.3793, usercpu_time_millis: 107.798, usercpu_time_millis_testing: 6.705, usercpu_time_millis_training: 101.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.914, kb_relative_information_score: -9071.645, 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: 0.9916, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9941, scimark_benchmark: 1854.1098, usercpu_time_millis: 95.341, usercpu_time_millis_testing: 9.274, usercpu_time_millis_training: 86.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14944.0258, mean_absolute_error: 0.1049, 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: 0.9612, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9732, scimark_benchmark: 1850.2875, usercpu_time_millis: 108.85, usercpu_time_millis_testing: 4.214, usercpu_time_millis_training: 104.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9146, kappa: 0.036, kb_relative_information_score: -11531.9349, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9624, scimark_benchmark: 1849.447, usercpu_time_millis: 96.907, usercpu_time_millis_testing: 4.217, usercpu_time_millis_training: 92.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.9285, kappa: 0.2298, kb_relative_information_score: -3750.3286, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9116, scimark_benchmark: 1813.32, usercpu_time_millis: 103.683, usercpu_time_millis_testing: 7.984, usercpu_time_millis_training: 95.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.914, kb_relative_information_score: -10276.1052, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9933, scimark_benchmark: 1823.3595, usercpu_time_millis: 51.385, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 47.833,

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