Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10953 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.9435, kappa: 0.4644, kb_relative_information_score: 9261.5481, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9455, prior_entropy: 0.3191, recall: 0.9455, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.9291, kappa: 0.2576, kb_relative_information_score: -859.1613, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9243, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9816, scimark_benchmark: 1762.9859, usercpu_time_millis: 220.317, usercpu_time_millis_testing: 11.144, usercpu_time_millis_training: 209.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.914, kb_relative_information_score: -14358.3474, mean_absolute_error: 0.1046, 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: 0.9587, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9609, scimark_benchmark: 1717.4516, usercpu_time_millis: 188.976, usercpu_time_millis_testing: 14.635, usercpu_time_millis_training: 174.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14203.5716, mean_absolute_error: 0.1036, 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: 0.9495, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9613, scimark_benchmark: 1718.188, usercpu_time_millis: 175.713, usercpu_time_millis_testing: 7.87, usercpu_time_millis_training: 167.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.9147, kappa: 0.039, kb_relative_information_score: -10951.4926, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9011, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9564, scimark_benchmark: 1729.2681, usercpu_time_millis: 165.32, usercpu_time_millis_testing: 7.676, usercpu_time_millis_training: 157.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.9257, kappa: 0.2323, kb_relative_information_score: -3303.0834, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9197, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9688, scimark_benchmark: 1775.6355, usercpu_time_millis: 160.9, usercpu_time_millis_testing: 8.373, usercpu_time_millis_training: 152.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9225, kappa: 0.1591, kb_relative_information_score: -9453.7929, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9159, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9481, scimark_benchmark: 1783.9364, usercpu_time_millis: 150.474, usercpu_time_millis_testing: 8.109, usercpu_time_millis_training: 142.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.9438, kappa: 0.4147, kb_relative_information_score: -5786.2258, 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: 0.7283, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.196, root_relative_squared_error: 0.8394, scimark_benchmark: 1716.9447, usercpu_time_millis: 122.84, usercpu_time_millis_testing: 3.52, usercpu_time_millis_training: 119.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9247, kappa: 0.1955, kb_relative_information_score: -8008.6781, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9187, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.934, scimark_benchmark: 1732.4995, usercpu_time_millis: 111.97, usercpu_time_millis_testing: 6.752, usercpu_time_millis_training: 105.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.9276, kappa: 0.2576, kb_relative_information_score: -1665.8647, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9222, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9965, scimark_benchmark: 1745.533, usercpu_time_millis: 106.572, usercpu_time_millis_testing: 3.902, usercpu_time_millis_training: 102.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14649.5078, mean_absolute_error: 0.1044, 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: 0.9565, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9635, scimark_benchmark: 1720.4927, usercpu_time_millis: 91.65, usercpu_time_millis_testing: 5.703, usercpu_time_millis_training: 85.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.914, kb_relative_information_score: -7469.6763, 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: 0.994, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9954, scimark_benchmark: 1771.7042, usercpu_time_millis: 91.384, usercpu_time_millis_testing: 8.515, usercpu_time_millis_training: 82.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9228, kappa: 0.1549, kb_relative_information_score: -7643.9665, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9172, predictive_accuracy: 0.9397, prior_entropy: 0.3191, recall: 0.9397, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9121, scimark_benchmark: 1775.1732, usercpu_time_millis: 79.459, usercpu_time_millis_testing: 5.627, usercpu_time_millis_training: 73.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.914, kb_relative_information_score: -9939.9249, 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: 0.9905, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9932, scimark_benchmark: 1779.9211, usercpu_time_millis: 72.246, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 66.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.914, kb_relative_information_score: -11868.6556, 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: 0.9855, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9894, scimark_benchmark: 1776.1047, usercpu_time_millis: 68.481, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 64.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.914, kb_relative_information_score: -8103.745, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.995, scimark_benchmark: 1775.251, usercpu_time_millis: 58.981, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 52.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -9.0323, 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: 1749.5234, usercpu_time_millis: 40.344, usercpu_time_millis_testing: 6.032, usercpu_time_millis_training: 34.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -39.597, 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: 1731.6389, usercpu_time_millis: 31.248, usercpu_time_millis_testing: 4.924, usercpu_time_millis_training: 26.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.914, kb_relative_information_score: -6081.4259, 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: 0.9958, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9971, scimark_benchmark: 1787.8996, usercpu_time_millis: 7.609, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 7.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.9151, kappa: 0.0137, kb_relative_information_score: -12894.519, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.942, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9241, scimark_benchmark: 1728.3113, usercpu_time_millis: 565.284, usercpu_time_millis_testing: 16.584, usercpu_time_millis_training: 548.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14166.866, mean_absolute_error: 0.1022, 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: 0.9366, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9523, scimark_benchmark: 1723.5226, usercpu_time_millis: 413.166, usercpu_time_millis_testing: 14.59, usercpu_time_millis_training: 398.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -15156.6266, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9745, scimark_benchmark: 1730.1821, usercpu_time_millis: 310.404, usercpu_time_millis_testing: 11.079, usercpu_time_millis_training: 299.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -14717.7117, mean_absolute_error: 0.106, 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: 0.9713, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9803, scimark_benchmark: 1786.3043, usercpu_time_millis: 207.993, usercpu_time_millis_testing: 9.071, usercpu_time_millis_training: 198.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9173, kappa: 0.0731, kb_relative_information_score: -9496.2538, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9082, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.9138, scimark_benchmark: 1732.8983, usercpu_time_millis: 177.313, usercpu_time_millis_testing: 12.383, usercpu_time_millis_training: 164.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9359, kappa: 0.3033, kb_relative_information_score: -8450.571, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9391, predictive_accuracy: 0.9492, prior_entropy: 0.3191, recall: 0.9492, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.8505, scimark_benchmark: 1729.7915, usercpu_time_millis: 150.875, usercpu_time_millis_testing: 6.964, usercpu_time_millis_training: 143.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9294, kappa: 0.2591, kb_relative_information_score: -813.5037, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9248, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9743, scimark_benchmark: 1728.9285, usercpu_time_millis: 125.037, usercpu_time_millis_testing: 9.839, usercpu_time_millis_training: 115.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14354.3667, mean_absolute_error: 0.1055, 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: 0.9665, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9757, scimark_benchmark: 1728.9285, usercpu_time_millis: 124.452, usercpu_time_millis_testing: 6.458, usercpu_time_millis_training: 117.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.9312, kappa: 0.2857, kb_relative_information_score: 904.5007, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9667, scimark_benchmark: 1729.3292, usercpu_time_millis: 114.367, usercpu_time_millis_testing: 6.352, usercpu_time_millis_training: 108.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.93, kappa: 0.267, kb_relative_information_score: -268.3982, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9746, scimark_benchmark: 1728.4686, usercpu_time_millis: 101.66, usercpu_time_millis_testing: 4.478, usercpu_time_millis_training: 97.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -9.9797, 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: 1733.1863, usercpu_time_millis: 29.883, usercpu_time_millis_testing: 4.658, usercpu_time_millis_training: 25.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.9263, kappa: 0.229, kb_relative_information_score: -3303.0979, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9205, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.941, scimark_benchmark: 1722.6597, usercpu_time_millis: 27.694, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 25.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.914, kb_relative_information_score: -9934.4934, mean_absolute_error: 0.1073, 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: 0.9839, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.987, scimark_benchmark: 1729.7915, usercpu_time_millis: 25.787, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 24.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -24.4994, 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: 1740.9797, usercpu_time_millis: 24.596, usercpu_time_millis_testing: 3.957, usercpu_time_millis_training: 20.639,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.914, kb_relative_information_score: -5441.6856, 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: 0.9953, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9963, scimark_benchmark: 1731.0556, usercpu_time_millis: 6.558, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 6.024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.9306, kappa: 0.2791, kb_relative_information_score: 446.0376, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.975, scimark_benchmark: 1730.2561, usercpu_time_millis: 78.906, usercpu_time_millis_testing: 3.63, usercpu_time_millis_training: 75.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.9389, kappa: 0.3462, kb_relative_information_score: -8653.0768, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9404, predictive_accuracy: 0.9501, prior_entropy: 0.3191, recall: 0.9501, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.198, root_relative_squared_error: 0.8477, scimark_benchmark: 1850.8185, usercpu_time_millis: 59.958, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 57.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.914, kb_relative_information_score: -9298.7938, mean_absolute_error: 0.0916, 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: 0.8395, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.919, scimark_benchmark: 1848.7304, usercpu_time_millis: 58.368, usercpu_time_millis_testing: 6.354, usercpu_time_millis_training: 52.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.92, kappa: 0.1148, kb_relative_information_score: -9278.5694, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9128, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9217, scimark_benchmark: 1817.8883, usercpu_time_millis: 56.648, usercpu_time_millis_testing: 5.401, usercpu_time_millis_training: 51.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.914, kb_relative_information_score: -12645.2798, mean_absolute_error: 0.107, 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: 0.981, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9853, scimark_benchmark: 927.2801, usercpu_time_millis: 31.59, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 30.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.914, kb_relative_information_score: -8031.6287, 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: 0.2318, root_relative_squared_error: 0.9925, scimark_benchmark: 1853.3841, usercpu_time_millis: 47.002, usercpu_time_millis_testing: 6.19, usercpu_time_millis_training: 40.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.9153, kappa: 0.0467, kb_relative_information_score: -11006.0116, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9028, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9237, scimark_benchmark: 1846.6923, usercpu_time_millis: 41.68, usercpu_time_millis_testing: 4.05, usercpu_time_millis_training: 37.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.9259, kappa: 0.227, kb_relative_information_score: -3396.2035, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.92, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9433, scimark_benchmark: 1849.8294, usercpu_time_millis: 34.384, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 32.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.914, kb_relative_information_score: -10995.745, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9903, scimark_benchmark: 1849.8294, usercpu_time_millis: 23.712, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 21.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -30.8752, 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: 1849.8294, usercpu_time_millis: 20.804, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 17.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.9302, kappa: 0.2265, kb_relative_information_score: -9976.415, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9352, predictive_accuracy: 0.9469, prior_entropy: 0.3191, recall: 0.9469, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.8664, scimark_benchmark: 1850.3603, usercpu_time_millis: 15.881, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 15.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.9285, kappa: 0.2591, kb_relative_information_score: -905.957, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9233, predictive_accuracy: 0.9385, prior_entropy: 0.3191, recall: 0.9385, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9707, scimark_benchmark: 1728.4155, usercpu_time_millis: 6.615, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 6.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.9301, kappa: 0.2684, kb_relative_information_score: -548.2645, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.98, scimark_benchmark: 1750.0586, usercpu_time_millis: 260.415, usercpu_time_millis_testing: 10.656, usercpu_time_millis_training: 249.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.92, kappa: 0.0807, kb_relative_information_score: -12431.0108, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9392, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8904, scimark_benchmark: 1768.8183, usercpu_time_millis: 255.489, usercpu_time_millis_testing: 10.973, usercpu_time_millis_training: 244.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.9273, kappa: 0.183, kb_relative_information_score: -9911.1844, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9359, predictive_accuracy: 0.9463, prior_entropy: 0.3191, recall: 0.9463, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.203, root_relative_squared_error: 0.8694, scimark_benchmark: 1746.1327, usercpu_time_millis: 223.619, usercpu_time_millis_testing: 6.231, usercpu_time_millis_training: 217.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11367.628, mean_absolute_error: 0.086, 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: 0.7879, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9475, scimark_benchmark: 1852.0126, usercpu_time_millis: 185.97, usercpu_time_millis_testing: 8.168, usercpu_time_millis_training: 177.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12553.6989, 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: 0.9108, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9247, scimark_benchmark: 1855.4813, usercpu_time_millis: 118.318, usercpu_time_millis_testing: 9.762, usercpu_time_millis_training: 108.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9294, kappa: 0.2556, kb_relative_information_score: -477.5364, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9505, scimark_benchmark: 1838.8181, usercpu_time_millis: 107.18, usercpu_time_millis_testing: 8.012, usercpu_time_millis_training: 99.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.914, kb_relative_information_score: -11401.7672, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9908, scimark_benchmark: 1853.9121, usercpu_time_millis: 79.709, usercpu_time_millis_testing: 6.337, usercpu_time_millis_training: 73.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.9304, kappa: 0.2798, kb_relative_information_score: 606.6255, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9826, scimark_benchmark: 1849.3014, usercpu_time_millis: 75.693, usercpu_time_millis_testing: 3.72, usercpu_time_millis_training: 71.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9147, kappa: 0.0368, kb_relative_information_score: -10377.681, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9013, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9244, scimark_benchmark: 1851.9295, usercpu_time_millis: 68.425, usercpu_time_millis_testing: 5.109, usercpu_time_millis_training: 63.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -14720.3575, mean_absolute_error: 0.1042, 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: 0.9554, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9673, scimark_benchmark: 1852.9259, usercpu_time_millis: 60.453, usercpu_time_millis_testing: 1.927, usercpu_time_millis_training: 58.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -0.5431, 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: 1840.1791, usercpu_time_millis: 57.577, usercpu_time_millis_testing: 7.105, usercpu_time_millis_training: 50.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.9296, kappa: 0.2563, kb_relative_information_score: -398.4814, mean_absolute_error: 0.0711, 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: 0.6514, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9304, scimark_benchmark: 1846.3057, usercpu_time_millis: 52.23, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 48.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.9264, kappa: 0.2216, kb_relative_information_score: -5276.9855, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9256, scimark_benchmark: 1846.6923, usercpu_time_millis: 27.207, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 26.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -14131.8526, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9458, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.214, root_relative_squared_error: 0.9164, scimark_benchmark: 1850.2875, usercpu_time_millis: 30.69, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 28.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.9143, kappa: 0.0039, kb_relative_information_score: -14960.7246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.934, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9612, scimark_benchmark: 1853.3841, usercpu_time_millis: 15.681, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 15.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -15085.5309, mean_absolute_error: 0.1004, 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: 0.9202, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9247, scimark_benchmark: 1844.7928, usercpu_time_millis: 14.36, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 13.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12348.5848, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9263, scimark_benchmark: 1853.9121, usercpu_time_millis: 175.776, usercpu_time_millis_testing: 12.91, usercpu_time_millis_training: 162.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9224, kappa: 0.1148, kb_relative_information_score: -11631.4952, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.935, predictive_accuracy: 0.9448, prior_entropy: 0.3191, recall: 0.9448, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8811, scimark_benchmark: 1824.3041, usercpu_time_millis: 160.399, usercpu_time_millis_testing: 5.057, usercpu_time_millis_training: 155.342,

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