OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29268.5876, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3637, scimark_benchmark: 1855.4813, usercpu_time_millis: 353.602, usercpu_time_millis_testing: 4.803, usercpu_time_millis_training: 348.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9575, kappa: 0.8959, kb_relative_information_score: 28284.8347, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4027, scimark_benchmark: 1853.3841, usercpu_time_millis: 360.902, usercpu_time_millis_testing: 2.028, usercpu_time_millis_training: 358.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9358, kappa: 0.8409, kb_relative_information_score: 25596.9056, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4862, scimark_benchmark: 1838.7526, usercpu_time_millis: 720.377, usercpu_time_millis_testing: 3.798, usercpu_time_millis_training: 716.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9549, kappa: 0.8892, kb_relative_information_score: 27368.1797, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4189, scimark_benchmark: 1712.622, usercpu_time_millis: 393.146, usercpu_time_millis_testing: 12.046, usercpu_time_millis_training: 381.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8674, kappa: 0.678, kb_relative_information_score: 17404.9332, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8663, prior_entropy: 0.863, recall: 0.8663, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6851, scimark_benchmark: 1816.786, usercpu_time_millis: 693.325, usercpu_time_millis_testing: 3.947, usercpu_time_millis_training: 689.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9363, kappa: 0.8423, kb_relative_information_score: 25766.4411, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.48, scimark_benchmark: 1855.4813, usercpu_time_millis: 787.072, usercpu_time_millis_testing: 8.664, usercpu_time_millis_training: 778.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9167, kappa: 0.7903, kb_relative_information_score: 24491.0931, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5183, scimark_benchmark: 1844.1673, usercpu_time_millis: 720.116, usercpu_time_millis_testing: 4.612, usercpu_time_millis_training: 715.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9323, kappa: 0.8318, kb_relative_information_score: 25215.5488, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 1805.715, usercpu_time_millis: 1234.36, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 1227.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.6955, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 100.83, usercpu_time_millis_testing: 7.262, usercpu_time_millis_training: 93.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.0472, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.1303, usercpu_time_millis: 78.814, usercpu_time_millis_testing: 7.562, usercpu_time_millis_training: 71.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8663, kappa: 0.6738, kb_relative_information_score: 16971.2665, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.867, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6844, scimark_benchmark: 1839.6024, usercpu_time_millis: 553.354, usercpu_time_millis_testing: 8.96, usercpu_time_millis_training: 544.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9322, kappa: 0.8315, kb_relative_information_score: 25194.5389, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5011, scimark_benchmark: 1847.8629, usercpu_time_millis: 530.493, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 528.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9432, kappa: 0.86, kb_relative_information_score: 26359.0624, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4621, scimark_benchmark: 1835.613, usercpu_time_millis: 515.119, usercpu_time_millis_testing: 6.405, usercpu_time_millis_training: 508.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.923, kappa: 0.807, kb_relative_information_score: 24743.0576, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5082, scimark_benchmark: 1834.0484, usercpu_time_millis: 906.88, usercpu_time_millis_testing: 6.664, usercpu_time_millis_training: 900.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8627, kappa: 0.6682, kb_relative_information_score: 17365.788, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8656, predictive_accuracy: 0.861, prior_entropy: 0.863, recall: 0.861, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6917, scimark_benchmark: 1722.6181, usercpu_time_millis: 777.71, usercpu_time_millis_testing: 5.574, usercpu_time_millis_training: 772.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8773, kb_relative_information_score: 27457.7485, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4342, scimark_benchmark: 1812.2788, usercpu_time_millis: 1117.289, usercpu_time_millis_testing: 3.357, usercpu_time_millis_training: 1113.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.915, kappa: 0.7861, kb_relative_information_score: 24295.1573, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5277, scimark_benchmark: 1833.743, usercpu_time_millis: 1185.496, usercpu_time_millis_testing: 6.228, usercpu_time_millis_training: 1179.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9349, kappa: 0.8385, kb_relative_information_score: 25070.3347, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4888, scimark_benchmark: 1853.454, usercpu_time_millis: 798.147, usercpu_time_millis_testing: 12.84, usercpu_time_millis_training: 785.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9359, kappa: 0.8411, kb_relative_information_score: 25492.973, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4874, scimark_benchmark: 1847.2233, usercpu_time_millis: 1407.635, usercpu_time_millis_testing: 11.505, usercpu_time_millis_training: 1396.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9268, kappa: 0.8173, kb_relative_information_score: 23925.5592, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.5075, scimark_benchmark: 1850.2875, usercpu_time_millis: 274.362, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 269.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28335.1146, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3954, scimark_benchmark: 1879.5305, usercpu_time_millis: 278.035, usercpu_time_millis_testing: 6.005, usercpu_time_millis_training: 272.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9201, kappa: 0.7993, kb_relative_information_score: 24611.6168, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.9226, prior_entropy: 0.863, recall: 0.9226, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1837.3334, usercpu_time_millis: 541.511, usercpu_time_millis_testing: 7.104, usercpu_time_millis_training: 534.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9496, kappa: 0.8765, kb_relative_information_score: 27891.0664, mean_absolute_error: 0.0803, 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: 0.1968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4293, scimark_benchmark: 1831.6117, usercpu_time_millis: 514.39, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 512.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9169, kappa: 0.7911, kb_relative_information_score: 23846.3397, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5203, scimark_benchmark: 1848.388, usercpu_time_millis: 172.161, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 170.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9229, kappa: 0.807, kb_relative_information_score: 24650.9034, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5064, scimark_benchmark: 1853.9121, usercpu_time_millis: 145.081, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 143.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8578, kappa: 0.6542, kb_relative_information_score: 15538.6786, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8567, prior_entropy: 0.863, recall: 0.8567, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7448, scimark_benchmark: 1845.264, usercpu_time_millis: 165.061, usercpu_time_millis_testing: 2.694, usercpu_time_millis_training: 162.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8598, kappa: 0.6626, kb_relative_information_score: 17300.7551, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8639, predictive_accuracy: 0.8576, prior_entropy: 0.863, recall: 0.8576, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6956, scimark_benchmark: 1847.8629, usercpu_time_millis: 1266.171, usercpu_time_millis_testing: 7.641, usercpu_time_millis_training: 1258.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9298, kappa: 0.8249, kb_relative_information_score: 25070.0084, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9312, prior_entropy: 0.863, recall: 0.9312, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5016, scimark_benchmark: 1838.6751, usercpu_time_millis: 1649.739, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 1642.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8639, kappa: 0.671, kb_relative_information_score: 17365.9932, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6894, scimark_benchmark: 1879.0985, usercpu_time_millis: 1334.371, usercpu_time_millis_testing: 8.426, usercpu_time_millis_training: 1325.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9345, kappa: 0.8375, kb_relative_information_score: 25289.4894, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924, scimark_benchmark: 1853.9849, usercpu_time_millis: 1395.332, usercpu_time_millis_testing: 9.435, usercpu_time_millis_training: 1385.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9278, kappa: 0.8198, kb_relative_information_score: 24781.4994, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 0.863, recall: 0.9294, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5011, scimark_benchmark: 1853.454, usercpu_time_millis: 1290.444, usercpu_time_millis_testing: 10.753, usercpu_time_millis_training: 1279.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9078, kappa: 0.7715, kb_relative_information_score: 21434.5174, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9079, predictive_accuracy: 0.9091, prior_entropy: 0.863, recall: 0.9091, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5811, scimark_benchmark: 1853.3841, usercpu_time_millis: 1307.923, usercpu_time_millis_testing: 6.848, usercpu_time_millis_training: 1301.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9346, kappa: 0.8378, kb_relative_information_score: 25343.9776, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1853.9121, usercpu_time_millis: 1823.432, usercpu_time_millis_testing: 9.141, usercpu_time_millis_training: 1814.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9151, kappa: 0.7862, kb_relative_information_score: 24349.8915, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.863, recall: 0.9182, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5283, scimark_benchmark: 1845.181, usercpu_time_millis: 1499.479, usercpu_time_millis_testing: 9.191, usercpu_time_millis_training: 1490.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9217, kappa: 0.8038, kb_relative_information_score: 24608.4654, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5083, scimark_benchmark: 1850.8185, usercpu_time_millis: 162.102, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 160.93,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9551, kappa: 0.8899, kb_relative_information_score: 28183.3209, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4109, scimark_benchmark: 1855.0232, usercpu_time_millis: 450.843, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 448.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9055, kappa: 0.7661, kb_relative_information_score: 22055.4025, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9054, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.579, scimark_benchmark: 1802.0128, usercpu_time_millis: 442.347, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 439.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9357, kappa: 0.8407, kb_relative_information_score: 25929.5395, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9365, prior_entropy: 0.863, recall: 0.9365, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4773, scimark_benchmark: 1808.4562, usercpu_time_millis: 895.974, usercpu_time_millis_testing: 4.728, usercpu_time_millis_training: 891.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9165, kappa: 0.7903, kb_relative_information_score: 23665.7201, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1832.5979, usercpu_time_millis: 839.925, usercpu_time_millis_testing: 8.802, usercpu_time_millis_training: 831.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9219, kappa: 0.8042, kb_relative_information_score: 24706.2919, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9256, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5091, scimark_benchmark: 1848.388, usercpu_time_millis: 487.904, usercpu_time_millis_testing: 5.24, usercpu_time_millis_training: 482.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8672, kappa: 0.6773, kb_relative_information_score: 17408.2975, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8687, predictive_accuracy: 0.8661, prior_entropy: 0.863, recall: 0.8661, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6849, scimark_benchmark: 1827.287, usercpu_time_millis: 1203.092, usercpu_time_millis_testing: 8.33, usercpu_time_millis_training: 1194.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 28454.7684, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1844.6953, usercpu_time_millis: 207.327, usercpu_time_millis_testing: 2.56, usercpu_time_millis_training: 204.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9411, kappa: 0.8549, kb_relative_information_score: 26182.8772, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4675, scimark_benchmark: 1844.6071, usercpu_time_millis: 805.256, usercpu_time_millis_testing: 7.027, usercpu_time_millis_training: 798.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9344, kappa: 0.8374, kb_relative_information_score: 25137.0531, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4885, scimark_benchmark: 1833.2537, usercpu_time_millis: 234.567, usercpu_time_millis_testing: 5.882, usercpu_time_millis_training: 228.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9339, kappa: 0.8359, kb_relative_information_score: 25345.375, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4946, scimark_benchmark: 1850.2875, usercpu_time_millis: 294.395, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 293.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8696, kappa: 0.6814, kb_relative_information_score: 17163.9488, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8692, prior_entropy: 0.863, recall: 0.8692, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6713, scimark_benchmark: 1816.1301, usercpu_time_millis: 304.164, usercpu_time_millis_testing: 6.073, usercpu_time_millis_training: 298.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9483, kappa: 0.8724, kb_relative_information_score: 26205.6572, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1831.6082, usercpu_time_millis: 284.465, usercpu_time_millis_testing: 15.639, usercpu_time_millis_training: 268.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8722, kappa: 0.6879, kb_relative_information_score: 17679.0703, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8727, predictive_accuracy: 0.8718, prior_entropy: 0.863, recall: 0.8718, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6569, scimark_benchmark: 1841.6847, usercpu_time_millis: 319.03, usercpu_time_millis_testing: 8.837, usercpu_time_millis_training: 310.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8579, kappa: 0.6515, kb_relative_information_score: 15478.2925, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7378, scimark_benchmark: 1846.1643, usercpu_time_millis: 340.376, usercpu_time_millis_testing: 8.901, usercpu_time_millis_training: 331.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9359, kappa: 0.8414, kb_relative_information_score: 25461.4859, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.485, scimark_benchmark: 1853.454, usercpu_time_millis: 323.304, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 320.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9438, kappa: 0.8615, kb_relative_information_score: 26469.4398, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4592, scimark_benchmark: 1836.6101, usercpu_time_millis: 323.689, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 321.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8685, kappa: 0.6798, kb_relative_information_score: 17370.8544, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6817, scimark_benchmark: 1847.8629, usercpu_time_millis: 369.629, usercpu_time_millis_testing: 3.59, usercpu_time_millis_training: 366.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8579, kappa: 0.6537, kb_relative_information_score: 15550.6656, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7395, scimark_benchmark: 1815.5992, usercpu_time_millis: 343.675, usercpu_time_millis_testing: 8.99, usercpu_time_millis_training: 334.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -17.0412, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.7454, usercpu_time_millis: 12.24, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 11.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.919, kappa: 0.7972, kb_relative_information_score: 22828.2542, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9212, prior_entropy: 0.863, recall: 0.9212, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.5367, scimark_benchmark: 1841.009, usercpu_time_millis: 13.591, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 13.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 29044.9523, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3762, scimark_benchmark: 1849.3742, usercpu_time_millis: 297.835, usercpu_time_millis_testing: 2.476, usercpu_time_millis_training: 295.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9339, kappa: 0.836, kb_relative_information_score: 25042.8186, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.491, scimark_benchmark: 1851.8567, usercpu_time_millis: 299.803, usercpu_time_millis_testing: 5.694, usercpu_time_millis_training: 294.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28463.37, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1821.8602, usercpu_time_millis: 363.094, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 360.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -0.8992, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.4239, usercpu_time_millis: 20.099, usercpu_time_millis_testing: 1.625, usercpu_time_millis_training: 18.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9478, kappa: 0.8705, kb_relative_information_score: 23824.2673, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4812, scimark_benchmark: 1840.7617, usercpu_time_millis: 26.49, usercpu_time_millis_testing: 1.741, usercpu_time_millis_training: 24.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8628, kappa: 0.6663, kb_relative_information_score: 17094.4902, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8642, predictive_accuracy: 0.8618, prior_entropy: 0.863, recall: 0.8618, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.692, scimark_benchmark: 1849.9572, usercpu_time_millis: 12.67, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 12.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9659, kappa: 0.9161, kb_relative_information_score: 28930.6624, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, scimark_benchmark: 1847.7988, usercpu_time_millis: 10.495, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 9.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.0491, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1859.1356, usercpu_time_millis: 16.239, usercpu_time_millis_testing: 2.158, usercpu_time_millis_training: 14.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.4287, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 23.264, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 21.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8663, kappa: 0.6763, kb_relative_information_score: 17370.5615, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8686, predictive_accuracy: 0.8649, prior_entropy: 0.863, recall: 0.8649, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6877, scimark_benchmark: 1848.7762, usercpu_time_millis: 36.424, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 35.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -5.7047, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.3483, usercpu_time_millis: 46.938, usercpu_time_millis_testing: 6.135, usercpu_time_millis_training: 40.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.5206, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1826.8288, usercpu_time_millis: 12.519, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 11.884,

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