Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.931, kappa: 0.2834, kb_relative_information_score: 630.5947, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9266, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9819, scimark_benchmark: 1841.3483, usercpu_time_millis: 190.749, usercpu_time_millis_testing: 6.414, usercpu_time_millis_training: 184.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.9303, kappa: 0.2694, kb_relative_information_score: 161.6455, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9763, scimark_benchmark: 1985.0369, usercpu_time_millis: 80.285, usercpu_time_millis_testing: 4.32, usercpu_time_millis_training: 75.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.9151, kappa: 0.0147, kb_relative_information_score: -16927.6746, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9391, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9208, scimark_benchmark: 1838.3127, usercpu_time_millis: 63.578, usercpu_time_millis_testing: 5.163, usercpu_time_millis_training: 58.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.9307, kappa: 0.2754, kb_relative_information_score: 316.6813, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9774, scimark_benchmark: 1835.2613, usercpu_time_millis: 36.668, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 35.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.9292, kappa: 0.2484, kb_relative_information_score: -555.8304, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9641, scimark_benchmark: 1854.8166, usercpu_time_millis: 79.732, usercpu_time_millis_testing: 8.132, usercpu_time_millis_training: 71.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9299, kappa: 0.2598, kb_relative_information_score: -311.7819, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9765, scimark_benchmark: 2114.9599, usercpu_time_millis: 138.799, usercpu_time_millis_testing: 9.407, usercpu_time_millis_training: 129.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.916, kappa: 0.0262, kb_relative_information_score: -16311.9244, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9387, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.9116, scimark_benchmark: 1931.6347, usercpu_time_millis: 53.792, usercpu_time_millis_testing: 3.292, usercpu_time_millis_training: 50.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9298, kappa: 0.2568, kb_relative_information_score: 509.7743, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9336, scimark_benchmark: 2069.5123, usercpu_time_millis: 9.775, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 9.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.9297, kappa: 0.2569, kb_relative_information_score: -250.016, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9736, scimark_benchmark: 1828.6642, usercpu_time_millis: 176.766, usercpu_time_millis_testing: 11.579, usercpu_time_millis_training: 165.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.931, kappa: 0.2776, kb_relative_information_score: 300.9417, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9795, scimark_benchmark: 1835.7751, usercpu_time_millis: 119.902, usercpu_time_millis_testing: 5.45, usercpu_time_millis_training: 114.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.9307, kappa: 0.2776, kb_relative_information_score: 812.1009, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9798, scimark_benchmark: 1998.2294, usercpu_time_millis: 57.079, usercpu_time_millis_testing: 2.885, usercpu_time_millis_training: 54.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.9304, kappa: 0.2781, kb_relative_information_score: 841.1946, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.985, scimark_benchmark: 1846.3046, usercpu_time_millis: 88.963, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 85.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9299, kappa: 0.2522, kb_relative_information_score: 335.6618, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.9285, scimark_benchmark: 1842.2565, usercpu_time_millis: 43.445, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 40.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.9291, kappa: 0.2096, kb_relative_information_score: -12347.1213, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9356, predictive_accuracy: 0.9467, prior_entropy: 0.3191, recall: 0.9467, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8724, scimark_benchmark: 1835.1963, usercpu_time_millis: 14.995, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 14.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.9212, kappa: 0.0983, kb_relative_information_score: -12230.7224, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9445, prior_entropy: 0.3191, recall: 0.9445, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8847, scimark_benchmark: 1854.8166, usercpu_time_millis: 147.829, usercpu_time_millis_testing: 10.256, usercpu_time_millis_training: 137.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.9298, kappa: 0.2573, kb_relative_information_score: -68.2115, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9715, scimark_benchmark: 1863.5901, usercpu_time_millis: 115.209, usercpu_time_millis_testing: 7.986, usercpu_time_millis_training: 107.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.9309, kappa: 0.2835, kb_relative_information_score: 1051.2114, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9845, scimark_benchmark: 1833.2809, usercpu_time_millis: 39.365, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 38.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9312, kappa: 0.2811, kb_relative_information_score: 1214.0172, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.927, predictive_accuracy: 0.9416, prior_entropy: 0.3191, recall: 0.9416, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9637, scimark_benchmark: 1837.2609, usercpu_time_millis: 137.565, usercpu_time_millis_testing: 7.984, usercpu_time_millis_training: 129.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.9296, kappa: 0.2575, kb_relative_information_score: -400.9403, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9755, scimark_benchmark: 1833.2039, usercpu_time_millis: 94.27, usercpu_time_millis_testing: 6.216, usercpu_time_millis_training: 88.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.9302, kappa: 0.2441, kb_relative_information_score: -1040.8463, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9288, predictive_accuracy: 0.9444, prior_entropy: 0.3191, recall: 0.9444, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8929, scimark_benchmark: 1845.8518, usercpu_time_millis: 13.263, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 12.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.9305, kappa: 0.2734, kb_relative_information_score: 437.7539, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9788, scimark_benchmark: 1839.7252, usercpu_time_millis: 90.67, usercpu_time_millis_testing: 4.05, usercpu_time_millis_training: 86.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9183, kappa: 0.0587, kb_relative_information_score: -9420.7371, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9365, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8944, scimark_benchmark: 1830.0851, usercpu_time_millis: 106.846, usercpu_time_millis_testing: 9.34, usercpu_time_millis_training: 97.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9306, kappa: 0.2669, kb_relative_information_score: 528.0436, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9267, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9564, scimark_benchmark: 1910.8024, usercpu_time_millis: 91.929, usercpu_time_millis_testing: 6.231, usercpu_time_millis_training: 85.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.9288, kappa: 0.2192, kb_relative_information_score: -2102.7643, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9288, predictive_accuracy: 0.9446, prior_entropy: 0.3191, recall: 0.9446, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8936, scimark_benchmark: 1833.2039, usercpu_time_millis: 55.123, usercpu_time_millis_testing: 3.821, usercpu_time_millis_training: 51.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.9307, kappa: 0.2787, kb_relative_information_score: 602.9546, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9816, scimark_benchmark: 2065.2084, usercpu_time_millis: 46.427, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 45.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.9302, kappa: 0.2653, kb_relative_information_score: 277.3999, mean_absolute_error: 0.0678, 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: 0.6215, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9739, scimark_benchmark: 1834.7837, usercpu_time_millis: 61.005, usercpu_time_millis_testing: 2.787, usercpu_time_millis_training: 58.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1860.7926, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1797.8346, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1926.9622, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1932.9213, usercpu_time_millis: 0.851, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1998.9265, usercpu_time_millis: 0.802, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1993.1695, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1933.5492, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.796,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1849.3742, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 0.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.9268, kappa: 0.245, kb_relative_information_score: -721.9726, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9211, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1841.1012, usercpu_time_millis: 1.156, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.998,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1848.321, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 0.492,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1849.2764, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 0.955,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.9292, kappa: 0.2802, kb_relative_information_score: 2780.3701, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9243, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2378, root_relative_squared_error: 1.0181, scimark_benchmark: 1853.454, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.997,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.9271, kappa: 0.2465, kb_relative_information_score: -631.5927, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9894, scimark_benchmark: 1847.2753, usercpu_time_millis: 1.726, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.582,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9275, kappa: 0.2309, kb_relative_information_score: -374.1003, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9225, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9756, scimark_benchmark: 1855.1417, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.18,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.8859, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 0.59,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1840.6628, usercpu_time_millis: 0.988, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.9264, kappa: 0.2133, kb_relative_information_score: -265.0556, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9792, scimark_benchmark: 1840.2076, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1841.121, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.751, 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: 1840.593, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 0.581,

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