OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 28952.5517, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1275.579, usercpu_time_millis: 2056.343, usercpu_time_millis_testing: 46.368, usercpu_time_millis_training: 2009.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9443, kappa: 0.8619, kb_relative_information_score: 23558.0201, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4925, scimark_benchmark: 1263.8614, usercpu_time_millis: 1649.244, usercpu_time_millis_testing: 98.576, usercpu_time_millis_training: 1550.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9224, kappa: 0.8054, kb_relative_information_score: 24177.9808, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5097, scimark_benchmark: 1279.8714, usercpu_time_millis: 833.62, usercpu_time_millis_testing: 21.976, usercpu_time_millis_training: 811.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9549, kappa: 0.8894, kb_relative_information_score: 27515.2271, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4184, scimark_benchmark: 1276.2881, usercpu_time_millis: 4141.798, usercpu_time_millis_testing: 58.247, usercpu_time_millis_training: 4083.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9559, kappa: 0.8917, kb_relative_information_score: 27783.6639, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4112, scimark_benchmark: 1270.68, usercpu_time_millis: 1378.989, usercpu_time_millis_testing: 48.955, usercpu_time_millis_training: 1330.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9418, kappa: 0.8558, kb_relative_information_score: 24197.9148, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4843, scimark_benchmark: 1269.6246, usercpu_time_millis: 1817.207, usercpu_time_millis_testing: 84.506, usercpu_time_millis_training: 1732.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 28981.0404, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1270.6279, usercpu_time_millis: 1661.308, usercpu_time_millis_testing: 30.635, usercpu_time_millis_training: 1630.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28447.1982, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1263.0876, usercpu_time_millis: 47.993, usercpu_time_millis_testing: 3.112, usercpu_time_millis_training: 44.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 29210.916, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1278.5349, usercpu_time_millis: 3454.296, usercpu_time_millis_testing: 48.344, usercpu_time_millis_training: 3405.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9656, kappa: 0.9154, kb_relative_information_score: 28518.1129, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3687, scimark_benchmark: 1279.808, usercpu_time_millis: 733.405, usercpu_time_millis_testing: 36.896, usercpu_time_millis_training: 696.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9436, kappa: 0.8612, kb_relative_information_score: 27648.6964, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.455, scimark_benchmark: 1238.8587, usercpu_time_millis: 12751.114, usercpu_time_millis_testing: 124.974, usercpu_time_millis_training: 12626.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29872.8736, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3472, scimark_benchmark: 1276.9235, usercpu_time_millis: 224.844, usercpu_time_millis_testing: 5.926, usercpu_time_millis_training: 218.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9375, kappa: 0.8454, kb_relative_information_score: 25512.4927, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4791, scimark_benchmark: 1277.0729, usercpu_time_millis: 3717.627, usercpu_time_millis_testing: 63.116, usercpu_time_millis_training: 3654.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9578, kappa: 0.8962, kb_relative_information_score: 27636.2951, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4068, scimark_benchmark: 1274.0695, usercpu_time_millis: 1242.282, usercpu_time_millis_testing: 66, usercpu_time_millis_training: 1176.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 28965.0076, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1270.3596, usercpu_time_millis: 1116.94, usercpu_time_millis_testing: 37.977, usercpu_time_millis_training: 1078.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.96, kappa: 0.9019, kb_relative_information_score: 28484.4862, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1277.6988, usercpu_time_millis: 1542.914, usercpu_time_millis_testing: 18.72, usercpu_time_millis_training: 1524.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9655, kappa: 0.9154, kb_relative_information_score: 29324.7407, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 1277.0589, usercpu_time_millis: 803.388, usercpu_time_millis_testing: 9.533, usercpu_time_millis_training: 793.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9589, kappa: 0.8989, kb_relative_information_score: 27782.8898, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1278.7072, usercpu_time_millis: 3957.494, usercpu_time_millis_testing: 98.973, usercpu_time_millis_training: 3858.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 28347.2327, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1258.2801, usercpu_time_millis: 11233.031, usercpu_time_millis_testing: 69.896, usercpu_time_millis_training: 11163.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.95, kappa: 0.8775, kb_relative_information_score: 28350.0202, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1252.3258, usercpu_time_millis: 11207.663, usercpu_time_millis_testing: 64.402, usercpu_time_millis_training: 11143.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29448.5518, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3556, scimark_benchmark: 1271.3342, usercpu_time_millis: 3284.102, usercpu_time_millis_testing: 58.114, usercpu_time_millis_training: 3225.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9335, kappa: 0.8346, kb_relative_information_score: 24598.9438, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.494, scimark_benchmark: 1276.0257, usercpu_time_millis: 452.4, usercpu_time_millis_testing: 11.928, usercpu_time_millis_training: 440.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9609, kappa: 0.9038, kb_relative_information_score: 28534.6158, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.388, scimark_benchmark: 1273.6463, usercpu_time_millis: 2225.994, usercpu_time_millis_testing: 55.396, usercpu_time_millis_training: 2170.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9398, kappa: 0.8511, kb_relative_information_score: 25657.0048, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4687, scimark_benchmark: 1280.0975, usercpu_time_millis: 2495.275, usercpu_time_millis_testing: 50.778, usercpu_time_millis_training: 2444.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9386, kappa: 0.8477, kb_relative_information_score: 23890.4073, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1274.7728, usercpu_time_millis: 1772.881, usercpu_time_millis_testing: 76.857, usercpu_time_millis_training: 1696.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29094.442, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623, scimark_benchmark: 1274.2927, usercpu_time_millis: 547.649, usercpu_time_millis_testing: 21.687, usercpu_time_millis_training: 525.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9475, kappa: 0.8713, kb_relative_information_score: 28078.2967, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4349, scimark_benchmark: 1262.0528, usercpu_time_millis: 9912.249, usercpu_time_millis_testing: 87.013, usercpu_time_millis_training: 9825.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9237, kappa: 0.809, kb_relative_information_score: 22845.2462, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9257, prior_entropy: 0.863, recall: 0.9257, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5257, scimark_benchmark: 1281.9675, usercpu_time_millis: 737.004, usercpu_time_millis_testing: 25.9, usercpu_time_millis_training: 711.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9484, kappa: 0.8727, kb_relative_information_score: 26095.3876, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4467, scimark_benchmark: 1269.2871, usercpu_time_millis: 1947.087, usercpu_time_millis_testing: 66.183, usercpu_time_millis_training: 1880.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9497, kappa: 0.8765, kb_relative_information_score: 28345.5433, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4256, scimark_benchmark: 1260.8102, usercpu_time_millis: 10012.361, usercpu_time_millis_testing: 64.771, usercpu_time_millis_training: 9947.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8971, kb_relative_information_score: 28219.2005, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1279.1357, usercpu_time_millis: 8307.839, usercpu_time_millis_testing: 85.937, usercpu_time_millis_training: 8221.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9221, kappa: 0.8059, kb_relative_information_score: 19987.12, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5769, scimark_benchmark: 1230.9098, usercpu_time_millis: 50.877, usercpu_time_millis_testing: 4.236, usercpu_time_millis_training: 46.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9372, kappa: 0.8443, kb_relative_information_score: 25004.6315, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4833, scimark_benchmark: 1238.6321, usercpu_time_millis: 4326.751, usercpu_time_millis_testing: 83.467, usercpu_time_millis_training: 4243.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 29385.0017, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3632, scimark_benchmark: 1246.4108, usercpu_time_millis: 2904.055, usercpu_time_millis_testing: 22.299, usercpu_time_millis_training: 2881.756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9692, kappa: 0.9243, kb_relative_information_score: 29450.551, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3466, scimark_benchmark: 1274.331, usercpu_time_millis: 990.227, usercpu_time_millis_testing: 33.153, usercpu_time_millis_training: 957.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9495, kappa: 0.8761, kb_relative_information_score: 27030.1274, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.439, scimark_benchmark: 1282.8077, usercpu_time_millis: 2370.049, usercpu_time_millis_testing: 28.091, usercpu_time_millis_training: 2341.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 28427.9807, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1230.6219, usercpu_time_millis: 1213.46, usercpu_time_millis_testing: 56.497, usercpu_time_millis_training: 1156.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9389, kappa: 0.8489, kb_relative_information_score: 25763.4521, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4721, scimark_benchmark: 1253.4372, usercpu_time_millis: 4051.207, usercpu_time_millis_testing: 77.296, usercpu_time_millis_training: 3973.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28902.8246, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728, scimark_benchmark: 1278.3024, usercpu_time_millis: 4650.624, usercpu_time_millis_testing: 80.527, usercpu_time_millis_training: 4570.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 28108.3372, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4006, scimark_benchmark: 1255.0661, usercpu_time_millis: 2042.286, usercpu_time_millis_testing: 30.964, usercpu_time_millis_training: 2011.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9654, kappa: 0.915, kb_relative_information_score: 28659.2902, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3683, scimark_benchmark: 1240.5837, usercpu_time_millis: 382.716, usercpu_time_millis_testing: 19.267, usercpu_time_millis_training: 363.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9688, kappa: 0.9232, kb_relative_information_score: 29267.1576, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3493, scimark_benchmark: 1254.7836, usercpu_time_millis: 1255.877, usercpu_time_millis_testing: 47.579, usercpu_time_millis_training: 1208.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 28117.7623, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.404, scimark_benchmark: 1263.5197, usercpu_time_millis: 8926.142, usercpu_time_millis_testing: 100.085, usercpu_time_millis_training: 8826.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8739, kappa: 0.6919, kb_relative_information_score: 17669.1776, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8743, predictive_accuracy: 0.8735, prior_entropy: 0.863, recall: 0.8735, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6509, scimark_benchmark: 1271.5167, usercpu_time_millis: 141.627, usercpu_time_millis_testing: 5.967, usercpu_time_millis_training: 135.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9248, kappa: 0.8118, kb_relative_information_score: 24294.8297, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9274, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5062, scimark_benchmark: 1260.5441, usercpu_time_millis: 2073.979, usercpu_time_millis_testing: 55.703, usercpu_time_millis_training: 2018.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29410.8298, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1266.6621, usercpu_time_millis: 2917.806, usercpu_time_millis_testing: 71.968, usercpu_time_millis_training: 2845.838,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9391, kappa: 0.8496, kb_relative_information_score: 25912.9458, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4692, scimark_benchmark: 1263.9009, usercpu_time_millis: 121.734, usercpu_time_millis_testing: 4.404, usercpu_time_millis_training: 117.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9273, kappa: 0.8186, kb_relative_information_score: 24608.0339, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.929, prior_entropy: 0.863, recall: 0.929, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5018, scimark_benchmark: 1253.7891, usercpu_time_millis: 694.529, usercpu_time_millis_testing: 27.339, usercpu_time_millis_training: 667.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 28233.6948, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3874, scimark_benchmark: 1265.2493, usercpu_time_millis: 843.898, usercpu_time_millis_testing: 40.416, usercpu_time_millis_training: 803.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9641, kappa: 0.9114, kb_relative_information_score: 27830.5447, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1260.8505, usercpu_time_millis: 1026.47, usercpu_time_millis_testing: 51.215, usercpu_time_millis_training: 975.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9544, kappa: 0.8877, kb_relative_information_score: 27049.4065, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1265.8776, usercpu_time_millis: 1172.413, usercpu_time_millis_testing: 31.307, usercpu_time_millis_training: 1141.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9335, kappa: 0.8347, kb_relative_information_score: 21403.9502, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5411, scimark_benchmark: 1264.9873, usercpu_time_millis: 1323.447, usercpu_time_millis_testing: 67.864, usercpu_time_millis_training: 1255.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29029.4395, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646, scimark_benchmark: 1286.5787, usercpu_time_millis: 901.421, usercpu_time_millis_testing: 25.468, usercpu_time_millis_training: 875.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 29024.6981, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3729, scimark_benchmark: 1262.3026, usercpu_time_millis: 4944.757, usercpu_time_millis_testing: 57.27, usercpu_time_millis_training: 4887.487,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 29569.1036, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.343, scimark_benchmark: 1275.3709, usercpu_time_millis: 1290.052, usercpu_time_millis_testing: 43.887, usercpu_time_millis_training: 1246.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9534, kappa: 0.8857, kb_relative_information_score: 27422.0015, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4257, scimark_benchmark: 1257.9736, usercpu_time_millis: 7000.108, usercpu_time_millis_testing: 98.928, usercpu_time_millis_training: 6901.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28821.5815, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3767, scimark_benchmark: 1259.2635, usercpu_time_millis: 2812.723, usercpu_time_millis_testing: 51.111, usercpu_time_millis_training: 2761.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9239, kappa: 0.81, kb_relative_information_score: 20942.2967, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9257, prior_entropy: 0.863, recall: 0.9257, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.557, scimark_benchmark: 1265.0353, usercpu_time_millis: 1295.587, usercpu_time_millis_testing: 52.955, usercpu_time_millis_training: 1242.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9537, kappa: 0.8866, kb_relative_information_score: 27654.311, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.4204, scimark_benchmark: 1262.6688, usercpu_time_millis: 1487.891, usercpu_time_millis_testing: 14.658, usercpu_time_millis_training: 1473.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29716.4992, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3499, scimark_benchmark: 1264.8451, usercpu_time_millis: 6538.833, usercpu_time_millis_testing: 69.653, usercpu_time_millis_training: 6469.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28916.7477, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3722, scimark_benchmark: 1267.7665, usercpu_time_millis: 1615.232, usercpu_time_millis_testing: 34.336, usercpu_time_millis_training: 1580.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29517.1034, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553, scimark_benchmark: 1279.3447, usercpu_time_millis: 5689.467, usercpu_time_millis_testing: 66.535, usercpu_time_millis_training: 5622.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29771.6237, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 1263.5221, usercpu_time_millis: 2678.648, usercpu_time_millis_testing: 31.646, usercpu_time_millis_training: 2647.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9463, kappa: 0.8678, kb_relative_information_score: 26597.2649, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4484, scimark_benchmark: 1284.1243, usercpu_time_millis: 1926.397, usercpu_time_millis_testing: 56.744, usercpu_time_millis_training: 1869.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9246, kappa: 0.8115, kb_relative_information_score: 24284.0029, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5067, scimark_benchmark: 1259.4386, usercpu_time_millis: 1569.328, usercpu_time_millis_testing: 21.951, usercpu_time_millis_training: 1547.377,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs