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: 0.8453, f_measure: 0.914, kb_relative_information_score: -11546.6221, mean_absolute_error: 0.0938, 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: 0.8598, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9184, scimark_benchmark: 1733.299, usercpu_time_millis: 72.059, usercpu_time_millis_testing: 6.727, usercpu_time_millis_training: 65.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.914, kb_relative_information_score: -13403.262, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9812, scimark_benchmark: 1852.9259, usercpu_time_millis: 67.983, usercpu_time_millis_testing: 4.678, usercpu_time_millis_training: 63.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -0.3583, 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: 1732.8391, usercpu_time_millis: 63.117, usercpu_time_millis_testing: 7.087, usercpu_time_millis_training: 56.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9281, kappa: 0.2354, kb_relative_information_score: -3095.1743, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.916, scimark_benchmark: 1841.6847, usercpu_time_millis: 55.418, usercpu_time_millis_testing: 3.003, usercpu_time_millis_training: 52.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.9308, kappa: 0.2805, kb_relative_information_score: 401.4202, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9809, scimark_benchmark: 1853.0566, usercpu_time_millis: 55.874, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 53.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9145, kappa: 0.0125, kb_relative_information_score: -10987.7998, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9022, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.9101, scimark_benchmark: 1737.8652, usercpu_time_millis: 46.294, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 42.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -16527.3608, mean_absolute_error: 0.1021, 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: 0.9356, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9254, scimark_benchmark: 1853.5818, usercpu_time_millis: 27.26, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 25.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.9186, kappa: 0.0947, kb_relative_information_score: -9913.8883, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9103, predictive_accuracy: 0.9385, prior_entropy: 0.3191, recall: 0.9385, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.928, scimark_benchmark: 1842.772, usercpu_time_millis: 20.687, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 19.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.914, kb_relative_information_score: -9434.4289, mean_absolute_error: 0.095, 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: 0.8709, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9241, scimark_benchmark: 1732.8391, usercpu_time_millis: 22.397, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 21.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -75.2132, 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: 1738.3274, usercpu_time_millis: 14.354, usercpu_time_millis_testing: 2.041, usercpu_time_millis_training: 12.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.9148, kappa: 0.0099, kb_relative_information_score: -14650.6634, mean_absolute_error: 0.101, 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: 0.9255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9414, scimark_benchmark: 1850.2875, usercpu_time_millis: 13.072, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 12.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.914, kb_relative_information_score: -6936.6152, mean_absolute_error: 0.1085, 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: 0.9947, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9962, scimark_benchmark: 1842.1882, usercpu_time_millis: 12.558, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 11.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9164, kappa: 0.0333, kb_relative_information_score: -12443.5926, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9316, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.214, root_relative_squared_error: 0.9162, scimark_benchmark: 1842.772, usercpu_time_millis: 377.56, usercpu_time_millis_testing: 12.961, usercpu_time_millis_training: 364.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9254, kappa: 0.2002, kb_relative_information_score: -6942.5904, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9394, prior_entropy: 0.3191, recall: 0.9394, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9232, scimark_benchmark: 1852.9988, usercpu_time_millis: 194.345, usercpu_time_millis_testing: 13.731, usercpu_time_millis_training: 180.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.9146, kappa: 0.0069, kb_relative_information_score: -11567.713, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.933, scimark_benchmark: 1855.0232, usercpu_time_millis: 162.546, usercpu_time_millis_testing: 13.38, usercpu_time_millis_training: 149.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13529.5141, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9389, scimark_benchmark: 1852.0126, usercpu_time_millis: 156.721, usercpu_time_millis_testing: 8.739, usercpu_time_millis_training: 147.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.915, kappa: 0.0426, kb_relative_information_score: -11241.3786, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.902, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9414, scimark_benchmark: 2138.0496, usercpu_time_millis: 134.243, usercpu_time_millis_testing: 7.609, usercpu_time_millis_training: 126.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.914, kb_relative_information_score: -10928.402, mean_absolute_error: 0.1079, 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: 0.9889, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9922, scimark_benchmark: 1734.6706, usercpu_time_millis: 122.694, usercpu_time_millis_testing: 8.056, usercpu_time_millis_training: 114.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9259, kappa: 0.2279, kb_relative_information_score: -3814.4411, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9515, scimark_benchmark: 1844.7928, usercpu_time_millis: 116.44, usercpu_time_millis_testing: 8.32, usercpu_time_millis_training: 108.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14743.394, mean_absolute_error: 0.1045, 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: 0.9575, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9654, scimark_benchmark: 1845.7061, usercpu_time_millis: 95.911, usercpu_time_millis_testing: 5.681, usercpu_time_millis_training: 90.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9316, kappa: 0.2672, kb_relative_information_score: 1057.0455, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9297, predictive_accuracy: 0.9445, prior_entropy: 0.3191, recall: 0.9445, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8914, scimark_benchmark: 1848.388, usercpu_time_millis: 95.832, usercpu_time_millis_testing: 7.147, usercpu_time_millis_training: 88.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9168, kappa: 0.0694, kb_relative_information_score: -11007.2319, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9065, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9321, scimark_benchmark: 1841.3483, usercpu_time_millis: 88.37, usercpu_time_millis_testing: 10.346, usercpu_time_millis_training: 78.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.9305, kappa: 0.2616, kb_relative_information_score: 1001.9124, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9271, predictive_accuracy: 0.9427, prior_entropy: 0.3191, recall: 0.9427, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.933, scimark_benchmark: 1726.6494, usercpu_time_millis: 86.124, usercpu_time_millis_testing: 7.222, usercpu_time_millis_training: 78.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.914, kb_relative_information_score: -8803.6451, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9903, scimark_benchmark: 1726.1942, usercpu_time_millis: 82.648, usercpu_time_millis_testing: 7.261, usercpu_time_millis_training: 75.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.9172, kappa: 0.0422, kb_relative_information_score: -14851.035, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9377, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9034, scimark_benchmark: 1847.8629, usercpu_time_millis: 71.515, usercpu_time_millis_testing: 5.921, usercpu_time_millis_training: 65.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9298, kappa: 0.2545, kb_relative_information_score: -526.5854, mean_absolute_error: 0.0714, 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: 0.6544, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, scimark_benchmark: 1734.2107, usercpu_time_millis: 63.529, usercpu_time_millis_testing: 3.555, usercpu_time_millis_training: 59.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9146, kappa: 0.035, kb_relative_information_score: -9052.9988, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9318, scimark_benchmark: 1846.3057, usercpu_time_millis: 57.072, usercpu_time_millis_testing: 4.564, usercpu_time_millis_training: 52.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.9301, kappa: 0.271, kb_relative_information_score: -565.8798, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9818, scimark_benchmark: 1847.8629, usercpu_time_millis: 37.821, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 36.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9164, kappa: 0.0639, kb_relative_information_score: -11148.2736, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9056, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9333, scimark_benchmark: 1850.9136, usercpu_time_millis: 27.317, usercpu_time_millis_testing: 1.795, usercpu_time_millis_training: 25.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.914, kb_relative_information_score: -12000.0945, mean_absolute_error: 0.1055, 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: 0.9667, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9732, scimark_benchmark: 1703.8973, usercpu_time_millis: 18.484, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 17.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9317, kappa: 0.2798, kb_relative_information_score: 763.3062, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9281, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9357, scimark_benchmark: 1732.8391, usercpu_time_millis: 17.195, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 16.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -13417.2323, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9679, scimark_benchmark: 1850.2214, usercpu_time_millis: 12.707, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 12.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.914, kb_relative_information_score: -10837.158, 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: 0.9912, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.993, scimark_benchmark: 1846.8309, usercpu_time_millis: 3.442, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 3.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.9304, kappa: 0.2723, kb_relative_information_score: -392.7103, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9742, scimark_benchmark: 1842.8383, usercpu_time_millis: 290.91, usercpu_time_millis_testing: 14.57, usercpu_time_millis_training: 276.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.9145, kappa: 0.0353, kb_relative_information_score: -11618.7653, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1731.4446, usercpu_time_millis: 139.539, usercpu_time_millis_testing: 7.686, usercpu_time_millis_training: 131.853,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9158, kappa: 0.0553, kb_relative_information_score: -10440.5822, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9043, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9513, scimark_benchmark: 1766.0651, usercpu_time_millis: 21.689, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 20.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.9332, kappa: 0.2663, kb_relative_information_score: -8183.8336, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9375, predictive_accuracy: 0.9481, prior_entropy: 0.3191, recall: 0.9481, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.8567, scimark_benchmark: 1716.9359, usercpu_time_millis: 20.134, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 19.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.9297, kappa: 0.26, kb_relative_information_score: -457.9516, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.975, scimark_benchmark: 1852.4707, usercpu_time_millis: 19.775, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 19.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -115.5332, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1842.1882, usercpu_time_millis: 10.923, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 10.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14366.8599, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9392, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9583, scimark_benchmark: 1768.5734, usercpu_time_millis: 277.784, usercpu_time_millis_testing: 10.285, usercpu_time_millis_training: 267.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9182, kappa: 0.0565, kb_relative_information_score: -10982.881, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9343, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8954, scimark_benchmark: 1768.5734, usercpu_time_millis: 203.19, usercpu_time_millis_testing: 9.409, usercpu_time_millis_training: 193.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.9224, kappa: 0.2004, kb_relative_information_score: -7510.2927, mean_absolute_error: 0.0799, 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: 0.7326, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9819, scimark_benchmark: 1716.0249, usercpu_time_millis: 199.232, usercpu_time_millis_testing: 8.561, usercpu_time_millis_training: 190.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.9225, kappa: 0.2032, kb_relative_information_score: -7283.4433, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9326, prior_entropy: 0.3191, recall: 0.9326, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9864, scimark_benchmark: 1856.0551, usercpu_time_millis: 192.554, usercpu_time_millis_testing: 8.721, usercpu_time_millis_training: 183.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.9275, kappa: 0.2592, kb_relative_information_score: -1678.1464, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9221, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, scimark_benchmark: 1855.4813, usercpu_time_millis: 190.098, usercpu_time_millis_testing: 8.815, usercpu_time_millis_training: 181.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -11932.2466, mean_absolute_error: 0.1014, 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: 0.9294, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9405, scimark_benchmark: 1822.3184, usercpu_time_millis: 169.899, usercpu_time_millis_testing: 17.74, usercpu_time_millis_training: 152.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.9145, kappa: 0.0363, kb_relative_information_score: -11651.9095, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9005, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9585, scimark_benchmark: 749.0783, usercpu_time_millis: 164.668, usercpu_time_millis_testing: 8.811, usercpu_time_millis_training: 155.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.9265, kappa: 0.2283, kb_relative_information_score: -3628.0644, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.9381, prior_entropy: 0.3191, recall: 0.9381, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9297, scimark_benchmark: 1730.0269, usercpu_time_millis: 170.199, usercpu_time_millis_testing: 10.07, usercpu_time_millis_training: 160.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.9243, kappa: 0.1962, kb_relative_information_score: -8539.9409, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9179, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.22, root_relative_squared_error: 0.942, scimark_benchmark: 1748.5548, usercpu_time_millis: 171.133, usercpu_time_millis_testing: 8.736, usercpu_time_millis_training: 162.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.914, kb_relative_information_score: -13247.6396, mean_absolute_error: 0.1071, 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: 0.9814, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9871, scimark_benchmark: 1849.8294, usercpu_time_millis: 176.674, usercpu_time_millis_testing: 8.726, usercpu_time_millis_training: 167.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.9284, kappa: 0.2516, kb_relative_information_score: -1015.0288, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9232, predictive_accuracy: 0.9392, prior_entropy: 0.3191, recall: 0.9392, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9712, scimark_benchmark: 1738.3274, usercpu_time_millis: 162.664, usercpu_time_millis_testing: 9.914, usercpu_time_millis_training: 152.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.9311, kappa: 0.2795, kb_relative_information_score: 133.656, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9784, scimark_benchmark: 1773.8672, usercpu_time_millis: 164.006, usercpu_time_millis_testing: 6.183, usercpu_time_millis_training: 157.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.914, kb_relative_information_score: -12952.2595, 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: 0.9697, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9763, scimark_benchmark: 749.1214, usercpu_time_millis: 152.213, usercpu_time_millis_testing: 12.276, usercpu_time_millis_training: 139.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.914, kb_relative_information_score: -11252.6903, 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: 0.9869, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9902, scimark_benchmark: 1720.3806, usercpu_time_millis: 158.998, usercpu_time_millis_testing: 12.816, usercpu_time_millis_training: 146.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9257, kappa: 0.2217, kb_relative_information_score: -4541.2741, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9197, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9389, scimark_benchmark: 1853.454, usercpu_time_millis: 154.35, usercpu_time_millis_testing: 8.639, usercpu_time_millis_training: 145.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.917, kappa: 0.0766, kb_relative_information_score: -10117.677, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9069, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9527, scimark_benchmark: 1770.1282, usercpu_time_millis: 149.185, usercpu_time_millis_testing: 8.743, usercpu_time_millis_training: 140.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.9147, kappa: 0.0389, kb_relative_information_score: -11514.4342, mean_absolute_error: 0.0861, 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: 0.7891, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9567, scimark_benchmark: 1846.2342, usercpu_time_millis: 155.797, usercpu_time_millis_testing: 8.917, usercpu_time_millis_training: 146.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13184.1355, mean_absolute_error: 0.1053, 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: 0.9652, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9725, scimark_benchmark: 1739.709, usercpu_time_millis: 140.859, usercpu_time_millis_testing: 12.852, usercpu_time_millis_training: 128.007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.9302, kappa: 0.262, kb_relative_information_score: 27.8873, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9419, prior_entropy: 0.3191, recall: 0.9419, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9523, scimark_benchmark: 1854.9533, usercpu_time_millis: 148.716, usercpu_time_millis_testing: 10.898, usercpu_time_millis_training: 137.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.914, kb_relative_information_score: -9037.456, 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: 0.9926, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9947, scimark_benchmark: 749.3189, usercpu_time_millis: 128.802, usercpu_time_millis_testing: 9.617, usercpu_time_millis_training: 119.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.914, kb_relative_information_score: -10881.0384, 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: 0.9899, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9934, scimark_benchmark: 1770.5468, usercpu_time_millis: 138.133, usercpu_time_millis_testing: 8.569, usercpu_time_millis_training: 129.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.9265, kappa: 0.2381, kb_relative_information_score: -1463.632, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.968, scimark_benchmark: 1795.9539, usercpu_time_millis: 138.974, usercpu_time_millis_testing: 10.192, usercpu_time_millis_training: 128.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9436, kappa: 0.4143, kb_relative_information_score: -5844.0902, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9429, predictive_accuracy: 0.9516, prior_entropy: 0.3191, recall: 0.9516, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8424, scimark_benchmark: 749.0783, usercpu_time_millis: 117.232, usercpu_time_millis_testing: 5.76, usercpu_time_millis_training: 111.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.914, kb_relative_information_score: -12087.6697, 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: 1804.7288, usercpu_time_millis: 132.545, usercpu_time_millis_testing: 9.387, usercpu_time_millis_training: 123.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9164, kappa: 0.0434, kb_relative_information_score: -9229.2486, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9103, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.9031, scimark_benchmark: 1771.8681, usercpu_time_millis: 126.69, usercpu_time_millis_testing: 11.377, usercpu_time_millis_training: 115.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.914, kb_relative_information_score: -14224.7763, mean_absolute_error: 0.1062, 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: 0.973, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9806, scimark_benchmark: 1749.3738, usercpu_time_millis: 118.996, usercpu_time_millis_testing: 6.875, usercpu_time_millis_training: 112.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -15096.8895, mean_absolute_error: 0.1019, 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: 0.9342, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9369, scimark_benchmark: 1855.5541, usercpu_time_millis: 114.83, usercpu_time_millis_testing: 6.642, usercpu_time_millis_training: 108.188,

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