OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9063, kb_relative_information_score: -1419.8046, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1851.5144, usercpu_time_millis: 10.369, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 9.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -827.5686, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768, scimark_benchmark: 1844.8764, usercpu_time_millis: 12.3, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 11.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -755.6999, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1830.1853, usercpu_time_millis: 6.083, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 5.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1143.2461, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9121, scimark_benchmark: 1839.0605, usercpu_time_millis: 3.843, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -697.7499, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8791, scimark_benchmark: 1853.9121, usercpu_time_millis: 7.33, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 6.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.9187, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.9069, kappa: 0.01, kb_relative_information_score: -1187.521, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8991, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9269, scimark_benchmark: 1825.2596, usercpu_time_millis: 1.161, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -857.8016, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1736.9559, usercpu_time_millis: 70.125, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 69.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9268, kappa: 0.2533, kb_relative_information_score: -753.2798, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1723.4592, usercpu_time_millis: 71.141, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 70.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -780.6728, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1725.3223, usercpu_time_millis: 34.74, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 34.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1094.8332, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9032, scimark_benchmark: 1736.621, usercpu_time_millis: 24.994, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 24.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.9063, kb_relative_information_score: -1256.7466, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9213, scimark_benchmark: 1734.2259, usercpu_time_millis: 19.658, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 19.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9063, kb_relative_information_score: -1116.6582, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9494, scimark_benchmark: 1760.9875, usercpu_time_millis: 6.955, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 6.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.1087, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1735.5975, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 4.2245, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1740.9613, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.9312, kappa: 0.3276, kb_relative_information_score: -744.3371, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9307, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1733.7613, usercpu_time_millis: 19.623, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 19.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1393.6514, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.929, scimark_benchmark: 1749.2345, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.4357, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1736.5552, usercpu_time_millis: 2.722, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9063, kb_relative_information_score: -1308.7306, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9425, scimark_benchmark: 1733.3606, usercpu_time_millis: 2.133, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.9063, kb_relative_information_score: -985.3849, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.233, root_relative_squared_error: 0.958, scimark_benchmark: 1731.5227, usercpu_time_millis: 6.136, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 5.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9293, kappa: 0.2882, kb_relative_information_score: -766.228, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.935, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1747.8103, usercpu_time_millis: 32.764, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 32.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -635.8864, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8471, scimark_benchmark: 1730.1287, usercpu_time_millis: 6.539, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 6.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1919.2127, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.9699, scimark_benchmark: 1729.728, usercpu_time_millis: 11.703, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 11.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.9063, kb_relative_information_score: -1676.3747, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9582, scimark_benchmark: 1735.1328, usercpu_time_millis: 5.61, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 5.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -760.6812, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1738.3102, usercpu_time_millis: 7.804, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 7.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -965.7464, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.884, scimark_benchmark: 1736.9559, usercpu_time_millis: 8.214, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 7.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -1521.304, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.934, scimark_benchmark: 1733.299, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.9098, kappa: 0.0574, kb_relative_information_score: -1029.2523, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9032, predictive_accuracy: 0.9353, prior_entropy: 0.3411, recall: 0.9353, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.906, scimark_benchmark: 1725.2655, usercpu_time_millis: 148.538, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 147.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9243, kappa: 0.234, kb_relative_information_score: -815.6988, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1727.2493, usercpu_time_millis: 133.901, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 132.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -813.7732, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1838.3811, usercpu_time_millis: 56.052, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 55.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -768.0196, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1762.983, usercpu_time_millis: 57.883, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 57.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -798.9205, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1833.2039, usercpu_time_millis: 54.401, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 53.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -765.3273, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8593, scimark_benchmark: 1836.238, usercpu_time_millis: 44.375, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 43.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -961.6839, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8782, scimark_benchmark: 1746.8871, usercpu_time_millis: 44.522, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 43.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -669.4716, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1809.4586, usercpu_time_millis: 23.207, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 22.439,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9271, kappa: 0.2707, kb_relative_information_score: -668.7431, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8525, scimark_benchmark: 1771.3343, usercpu_time_millis: 10.142, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 9.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9229, kappa: 0.2085, kb_relative_information_score: -909.7518, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8694, scimark_benchmark: 1722.3797, usercpu_time_millis: 6.392, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 6.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -654.7403, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1466.7571, usercpu_time_millis: 2.742, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 2.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.7891, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1711.9005, usercpu_time_millis: 2.315, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -762.5396, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8862, scimark_benchmark: 1846.6923, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 5.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 1.5206, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.8351, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1753.3792, usercpu_time_millis: 2.688, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.9179, kappa: 0.226, kb_relative_information_score: -1074.1935, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9114, predictive_accuracy: 0.9282, prior_entropy: 0.3411, recall: 0.9282, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.243, root_relative_squared_error: 0.9993, scimark_benchmark: 1844.9447, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.0023, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1845.3986, usercpu_time_millis: 2.275, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -824.7067, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1844.2983, usercpu_time_millis: 120.946, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 119.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9291, kappa: 0.3012, kb_relative_information_score: -699.4842, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1841.3494, usercpu_time_millis: 132.275, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 130.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -702.4246, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8546, scimark_benchmark: 1745.1386, usercpu_time_millis: 20.223, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 19.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -907.2568, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8877, scimark_benchmark: 1746.3558, usercpu_time_millis: 24.423, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 23.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9311, kappa: 0.324, kb_relative_information_score: -755.9482, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8685, scimark_benchmark: 1845.3245, usercpu_time_millis: 54.33, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 53.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9063, kb_relative_information_score: -1298.2744, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9394, scimark_benchmark: 1732.5642, usercpu_time_millis: 9.786, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 9.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -848.5209, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8772, scimark_benchmark: 1839.282, usercpu_time_millis: 19.358, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 18.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -996.0279, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8925, scimark_benchmark: 1846.3657, usercpu_time_millis: 32.258, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 31.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -1087.3575, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8891, scimark_benchmark: 1769.6115, usercpu_time_millis: 25.081, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 24.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -816.8057, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8743, scimark_benchmark: 1836.7415, usercpu_time_millis: 29.826, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 28.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1254.6695, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9182, scimark_benchmark: 1847.4247, usercpu_time_millis: 18.741, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 17.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -920.8001, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1848.3134, usercpu_time_millis: 8.604, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 8.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -920.9584, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8827, scimark_benchmark: 1775.8285, usercpu_time_millis: 16.954, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 16.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1239.1844, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9139, scimark_benchmark: 1808.8182, usercpu_time_millis: 7.739, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 7.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.9063, kb_relative_information_score: -1622.0559, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9554, scimark_benchmark: 1844.8706, usercpu_time_millis: 4.994, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -25.42, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1792.9163, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -133.1284, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1.0001, scimark_benchmark: 1836.238, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -781.2414, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8604, scimark_benchmark: 1843.0021, usercpu_time_millis: 17.062, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 16.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -965.54, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8811, scimark_benchmark: 1840.8272, usercpu_time_millis: 11.228, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 10.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.9063, kb_relative_information_score: -1243.8809, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9412, scimark_benchmark: 1736.1684, usercpu_time_millis: 8.028, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 7.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9301, kappa: 0.3108, kb_relative_information_score: -716.5103, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8607, scimark_benchmark: 1852.9988, usercpu_time_millis: 110.541, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 109.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9287, kappa: 0.2953, kb_relative_information_score: -750.7897, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1733.7613, usercpu_time_millis: 68.303, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 67.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9063, kb_relative_information_score: -1225.5678, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9205, scimark_benchmark: 737.9401, usercpu_time_millis: 43.538, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 42.714,

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