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: 0.8383, f_measure: 0.9158, kappa: 0.024, kb_relative_information_score: -12797.2149, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9321, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9224, scimark_benchmark: 1853.9121, usercpu_time_millis: 111.879, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 108.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.9151, kappa: 0.046, kb_relative_information_score: -11574.6035, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9024, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9358, scimark_benchmark: 1722.2167, usercpu_time_millis: 151.595, usercpu_time_millis_testing: 8.098, usercpu_time_millis_training: 143.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9246, kappa: 0.2066, kb_relative_information_score: -7656.5799, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9182, predictive_accuracy: 0.9367, prior_entropy: 0.3191, recall: 0.9367, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9459, scimark_benchmark: 1851.8567, usercpu_time_millis: 105.215, usercpu_time_millis_testing: 6.914, usercpu_time_millis_training: 98.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.9296, kappa: 0.255, kb_relative_information_score: -257.5994, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9697, scimark_benchmark: 1846.7639, usercpu_time_millis: 129.897, usercpu_time_millis_testing: 9.406, usercpu_time_millis_training: 120.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.914, kb_relative_information_score: -11950.2375, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9845, scimark_benchmark: 1855.0232, usercpu_time_millis: 101.496, usercpu_time_millis_testing: 9.474, usercpu_time_millis_training: 92.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.9292, kappa: 0.2295, kb_relative_information_score: -2841.4171, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9278, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8918, scimark_benchmark: 1850.8185, usercpu_time_millis: 133.911, usercpu_time_millis_testing: 12.408, usercpu_time_millis_training: 121.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.914, kb_relative_information_score: -14323.2969, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9828, scimark_benchmark: 1849.7595, usercpu_time_millis: 101.121, usercpu_time_millis_testing: 5.112, usercpu_time_millis_training: 96.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.914, kb_relative_information_score: -13463.7879, mean_absolute_error: 0.1063, 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: 0.9744, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9808, scimark_benchmark: 1849.3014, usercpu_time_millis: 119.447, usercpu_time_millis_testing: 9.214, usercpu_time_millis_training: 110.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9187, kappa: 0.0953, kb_relative_information_score: -8767.5537, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9107, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9122, scimark_benchmark: 1850.2875, usercpu_time_millis: 129.789, usercpu_time_millis_testing: 10.918, usercpu_time_millis_training: 118.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.9148, kappa: 0.0381, kb_relative_information_score: -10664.7559, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9014, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9252, scimark_benchmark: 1818.9456, usercpu_time_millis: 131.685, usercpu_time_millis_testing: 8.612, usercpu_time_millis_training: 123.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.914, kb_relative_information_score: -13036.8645, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9811, scimark_benchmark: 1846.6923, usercpu_time_millis: 126.867, usercpu_time_millis_testing: 11.847, usercpu_time_millis_training: 115.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.9243, kappa: 0.2111, kb_relative_information_score: -5512.809, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9179, predictive_accuracy: 0.9356, prior_entropy: 0.3191, recall: 0.9356, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9713, scimark_benchmark: 1850.5803, usercpu_time_millis: 121.772, usercpu_time_millis_testing: 5.294, usercpu_time_millis_training: 116.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.927, kappa: 0.2353, kb_relative_information_score: -1594.9819, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9215, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9511, scimark_benchmark: 1842.6679, usercpu_time_millis: 100.124, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 92.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.9289, kappa: 0.2486, kb_relative_information_score: -675.3976, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9734, scimark_benchmark: 1855.4813, usercpu_time_millis: 95.94, usercpu_time_millis_testing: 6.027, usercpu_time_millis_training: 89.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9147, kappa: 0.0367, kb_relative_information_score: -12046.8531, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9483, scimark_benchmark: 1849.3014, usercpu_time_millis: 132.148, usercpu_time_millis_testing: 7.009, usercpu_time_millis_training: 125.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.914, kappa: 0.0062, kb_relative_information_score: -10662.3106, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8978, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.9104, scimark_benchmark: 1823.8876, usercpu_time_millis: 101.843, usercpu_time_millis_testing: 8.734, usercpu_time_millis_training: 93.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.9262, kappa: 0.2341, kb_relative_information_score: -1608.3806, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9367, prior_entropy: 0.3191, recall: 0.9367, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9753, scimark_benchmark: 1836.59, usercpu_time_millis: 101.993, usercpu_time_millis_testing: 9.286, usercpu_time_millis_training: 92.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.9322, kappa: 0.2779, kb_relative_information_score: 1596.1069, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9297, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8952, scimark_benchmark: 1844.7258, usercpu_time_millis: 89.361, usercpu_time_millis_testing: 6.881, usercpu_time_millis_training: 82.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -16376.52, mean_absolute_error: 0.1049, 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: 0.9616, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9566, scimark_benchmark: 1848.388, usercpu_time_millis: 110.594, usercpu_time_millis_testing: 9.659, usercpu_time_millis_training: 100.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.914, kb_relative_information_score: -12140.9663, mean_absolute_error: 0.1076, 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: 0.9862, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9899, scimark_benchmark: 1854.4951, usercpu_time_millis: 115.379, usercpu_time_millis_testing: 9.028, usercpu_time_millis_training: 106.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9304, kappa: 0.2615, kb_relative_information_score: 111.5229, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.9289, scimark_benchmark: 1808.8221, usercpu_time_millis: 78.492, usercpu_time_millis_testing: 6.04, usercpu_time_millis_training: 72.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.9289, kappa: 0.2474, kb_relative_information_score: -812.8587, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9245, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.975, scimark_benchmark: 1818.9456, usercpu_time_millis: 95.627, usercpu_time_millis_testing: 6.441, usercpu_time_millis_training: 89.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9296, kappa: 0.2472, kb_relative_information_score: -63.3169, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9249, scimark_benchmark: 1842.7105, usercpu_time_millis: 87.078, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 80.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14791.7565, mean_absolute_error: 0.1028, 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: 0.9424, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9596, scimark_benchmark: 1856.5802, usercpu_time_millis: 102.653, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 99.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.914, kb_relative_information_score: -8988.2966, 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: 0.2324, root_relative_squared_error: 0.995, scimark_benchmark: 1857.5664, usercpu_time_millis: 89.769, usercpu_time_millis_testing: 6.348, usercpu_time_millis_training: 83.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.9337, kappa: 0.274, kb_relative_information_score: -8536.7178, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9378, predictive_accuracy: 0.9483, prior_entropy: 0.3191, recall: 0.9483, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.8573, scimark_benchmark: 1843.1261, usercpu_time_millis: 74.31, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 71.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.93, kappa: 0.2395, kb_relative_information_score: 334.7292, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9289, predictive_accuracy: 0.9445, prior_entropy: 0.3191, recall: 0.9445, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.891, scimark_benchmark: 1821.9359, usercpu_time_millis: 88.898, usercpu_time_millis_testing: 9.548, usercpu_time_millis_training: 79.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -13303.7047, mean_absolute_error: 0.1044, 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: 0.9565, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9659, scimark_benchmark: 1797.3523, usercpu_time_millis: 91.724, usercpu_time_millis_testing: 5.261, usercpu_time_millis_training: 86.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.914, kb_relative_information_score: -10662.1226, mean_absolute_error: 0.0963, 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: 0.8827, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9258, scimark_benchmark: 1853.2758, usercpu_time_millis: 90.667, usercpu_time_millis_testing: 7.897, usercpu_time_millis_training: 82.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9331, kappa: 0.2664, kb_relative_information_score: -7787.9093, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9372, predictive_accuracy: 0.948, prior_entropy: 0.3191, recall: 0.948, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8533, scimark_benchmark: 1817.5741, usercpu_time_millis: 86.573, usercpu_time_millis_testing: 6.606, usercpu_time_millis_training: 79.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.9149, kappa: 0.0404, kb_relative_information_score: -10783.9629, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9017, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9246, scimark_benchmark: 1844.149, usercpu_time_millis: 114.253, usercpu_time_millis_testing: 8.214, usercpu_time_millis_training: 106.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.914, kb_relative_information_score: -10072.3082, 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: 0.9831, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9865, scimark_benchmark: 1852.9988, usercpu_time_millis: 101.717, usercpu_time_millis_testing: 9.248, usercpu_time_millis_training: 92.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.914, kb_relative_information_score: -13993.7068, 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: 0.9736, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9788, scimark_benchmark: 1851.8567, usercpu_time_millis: 82.29, usercpu_time_millis_testing: 5.116, usercpu_time_millis_training: 77.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.9145, kappa: 0.0371, kb_relative_information_score: -11674.379, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9572, scimark_benchmark: 1850.1379, usercpu_time_millis: 109.176, usercpu_time_millis_testing: 5.512, usercpu_time_millis_training: 103.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.9284, kappa: 0.2416, kb_relative_information_score: -964.1781, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9237, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9735, scimark_benchmark: 1797.8803, usercpu_time_millis: 89.905, usercpu_time_millis_testing: 6.158, usercpu_time_millis_training: 83.747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.9152, kappa: 0.0457, kb_relative_information_score: -11587.9302, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9026, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9362, scimark_benchmark: 1856.5802, usercpu_time_millis: 78.475, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 73.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.914, kb_relative_information_score: -13693.1907, 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: 0.978, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.984, scimark_benchmark: 1828.616, usercpu_time_millis: 91.749, usercpu_time_millis_testing: 5.477, usercpu_time_millis_training: 86.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.9294, kappa: 0.2523, kb_relative_information_score: -81.9301, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.949, scimark_benchmark: 1832.0698, usercpu_time_millis: 30.037, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 28.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.914, kappa: 0.0075, kb_relative_information_score: -9605.0406, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8977, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.9197, scimark_benchmark: 1834.1796, usercpu_time_millis: 31.467, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 28.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.9304, kappa: 0.2711, kb_relative_information_score: 947.6629, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9718, scimark_benchmark: 1855.0232, usercpu_time_millis: 41.53, usercpu_time_millis_testing: 1.769, usercpu_time_millis_training: 39.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.9307, kappa: 0.2744, kb_relative_information_score: 457.6067, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9266, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.971, scimark_benchmark: 1850.4154, usercpu_time_millis: 38.131, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 36.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -14675.4104, mean_absolute_error: 0.1051, 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: 0.963, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9729, scimark_benchmark: 1832.9165, usercpu_time_millis: 48.763, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 46.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -0.6926, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1845.5494, usercpu_time_millis: 41.64, usercpu_time_millis_testing: 6.295, usercpu_time_millis_training: 35.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.926, kappa: 0.2359, kb_relative_information_score: -2340.2963, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9201, predictive_accuracy: 0.936, prior_entropy: 0.3191, recall: 0.936, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1849.8294, usercpu_time_millis: 58.976, usercpu_time_millis_testing: 2.459, usercpu_time_millis_training: 56.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.914, kb_relative_information_score: -10017.0934, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9932, scimark_benchmark: 1837.1902, usercpu_time_millis: 85.465, usercpu_time_millis_testing: 7.447, usercpu_time_millis_training: 78.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.914, kb_relative_information_score: -10828.4423, mean_absolute_error: 0.0958, 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: 0.8781, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.924, scimark_benchmark: 1817.9594, usercpu_time_millis: 70.652, usercpu_time_millis_testing: 6.417, usercpu_time_millis_training: 64.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.9311, kappa: 0.2828, kb_relative_information_score: 409.2239, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9821, scimark_benchmark: 1855.0232, usercpu_time_millis: 25.309, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 24.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.914, kb_relative_information_score: -9419.3402, 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: 0.9909, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9931, scimark_benchmark: 1852.0126, usercpu_time_millis: 35.039, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 32.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.9301, kappa: 0.243, kb_relative_information_score: -1958.8319, mean_absolute_error: 0.0753, 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: 0.6905, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8906, scimark_benchmark: 1840.1194, usercpu_time_millis: 54.656, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 51.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9164, kappa: 0.0645, kb_relative_information_score: -10714.6664, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9056, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9324, scimark_benchmark: 1846.9558, usercpu_time_millis: 34.964, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 33.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: -27.0276, 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: 1848.8462, usercpu_time_millis: 35.788, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 32.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.9146, kappa: 0.0354, kb_relative_information_score: -11252.9092, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9672, scimark_benchmark: 1846.6923, usercpu_time_millis: 63.96, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 61.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.914, kappa: 0.0011, kb_relative_information_score: -11614.004, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8948, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.9151, scimark_benchmark: 1852.9259, usercpu_time_millis: 19.307, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 18.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.9253, kappa: 0.2258, kb_relative_information_score: -3391.5427, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9192, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9745, scimark_benchmark: 1853.0716, usercpu_time_millis: 60.882, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 58.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: 2.8813, 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: 1848.388, usercpu_time_millis: 63.408, usercpu_time_millis_testing: 7.471, usercpu_time_millis_training: 55.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.914, kb_relative_information_score: -8937.9437, 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: 0.2312, root_relative_squared_error: 0.99, scimark_benchmark: 1853.454, usercpu_time_millis: 50.504, usercpu_time_millis_testing: 4.575, usercpu_time_millis_training: 45.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9148, kappa: 0.0386, kb_relative_information_score: -11517.0215, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9013, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9396, scimark_benchmark: 1722.5652, usercpu_time_millis: 75.054, usercpu_time_millis_testing: 3.373, usercpu_time_millis_training: 71.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.927, kappa: 0.2428, kb_relative_information_score: -1111.9831, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9767, scimark_benchmark: 1814.8327, usercpu_time_millis: 18.218, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 17.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14508.2975, mean_absolute_error: 0.1037, 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: 0.9501, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9608, scimark_benchmark: 1832.0698, usercpu_time_millis: 52.29, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 49.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9294, kappa: 0.2575, kb_relative_information_score: -679.0021, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9248, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9772, scimark_benchmark: 1850.2875, usercpu_time_millis: 45.636, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 44.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -32.2007, 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: 1839.6024, usercpu_time_millis: 17.232, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 15.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.9305, kappa: 0.2725, kb_relative_information_score: 320.1957, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1855.0232, usercpu_time_millis: 31.142, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 30.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9167, kappa: 0.07, kb_relative_information_score: -11276.2782, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9061, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9494, scimark_benchmark: 1825.7178, usercpu_time_millis: 14.738, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 14.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.9141, kappa: 0.0009, kb_relative_information_score: -6383.7495, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9165, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9295, scimark_benchmark: 1793.9979, usercpu_time_millis: 30.687, usercpu_time_millis_testing: 3.805, usercpu_time_millis_training: 26.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.914, kb_relative_information_score: -5902.1326, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9972, scimark_benchmark: 1852.4008, usercpu_time_millis: 65.147, usercpu_time_millis_testing: 8, usercpu_time_millis_training: 57.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9146, kappa: 0.0354, kb_relative_information_score: -11230.3766, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9676, scimark_benchmark: 1843.1016, usercpu_time_millis: 53.444, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 51.568,

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