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: 0.9827, f_measure: 0.9353, kappa: 0.8396, kb_relative_information_score: 25778.2098, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4813, scimark_benchmark: 1845.779, usercpu_time_millis: 1449.926, usercpu_time_millis_testing: 9.563, usercpu_time_millis_training: 1440.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.9544, 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: 1848.388, usercpu_time_millis: 46.976, usercpu_time_millis_testing: 7.671, usercpu_time_millis_training: 39.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3645, 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: 1842.2127, usercpu_time_millis: 42.747, usercpu_time_millis_testing: 7.042, usercpu_time_millis_training: 35.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8558, kappa: 0.6506, kb_relative_information_score: 15468.2846, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8543, prior_entropy: 0.863, recall: 0.8543, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7422, scimark_benchmark: 1846.8212, usercpu_time_millis: 57.557, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 56.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3226, 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: 1844.8837, usercpu_time_millis: 47.842, usercpu_time_millis_testing: 5.078, usercpu_time_millis_training: 42.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -8.1243, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1841.1596, usercpu_time_millis: 31.739, usercpu_time_millis_testing: 4.82, usercpu_time_millis_training: 26.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9209, kappa: 0.8014, kb_relative_information_score: 24545.7864, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5095, scimark_benchmark: 1844.082, usercpu_time_millis: 606.503, usercpu_time_millis_testing: 7.536, usercpu_time_millis_training: 598.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8682, kappa: 0.6787, kb_relative_information_score: 17405.121, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6775, scimark_benchmark: 1844.2035, usercpu_time_millis: 659.509, usercpu_time_millis_testing: 6.485, usercpu_time_millis_training: 653.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9162, kappa: 0.7895, kb_relative_information_score: 23398.6838, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5258, scimark_benchmark: 1843.7454, usercpu_time_millis: 679.283, usercpu_time_millis_testing: 9.855, usercpu_time_millis_training: 669.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9214, kappa: 0.8032, kb_relative_information_score: 24683.405, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9245, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1856.0123, usercpu_time_millis: 2089.511, usercpu_time_millis_testing: 9.91, usercpu_time_millis_training: 2079.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9375, kappa: 0.8454, kb_relative_information_score: 26117.0566, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4725, scimark_benchmark: 1832.2404, usercpu_time_millis: 686.137, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 683.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9044, kappa: 0.7633, kb_relative_information_score: 21912.6351, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9042, predictive_accuracy: 0.9054, prior_entropy: 0.863, recall: 0.9054, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5871, scimark_benchmark: 1835.6946, usercpu_time_millis: 775.386, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 772.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9175, kappa: 0.7924, kb_relative_information_score: 24210.067, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.518, scimark_benchmark: 1838.1026, usercpu_time_millis: 694.114, usercpu_time_millis_testing: 7.663, usercpu_time_millis_training: 686.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 24544.4929, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5168, scimark_benchmark: 1836.3777, usercpu_time_millis: 704.359, usercpu_time_millis_testing: 2.879, usercpu_time_millis_training: 701.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8683, kappa: 0.6799, kb_relative_information_score: 17333.7716, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6855, scimark_benchmark: 1811.4682, usercpu_time_millis: 1168.336, usercpu_time_millis_testing: 10.206, usercpu_time_millis_training: 1158.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9174, kappa: 0.7924, kb_relative_information_score: 24558.0726, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5192, scimark_benchmark: 1856.0123, usercpu_time_millis: 2640.204, usercpu_time_millis_testing: 10.407, usercpu_time_millis_training: 2629.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9053, kappa: 0.7656, kb_relative_information_score: 21801.4043, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9051, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.584, scimark_benchmark: 1852.3367, usercpu_time_millis: 1648.366, usercpu_time_millis_testing: 6.345, usercpu_time_millis_training: 1642.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8878, kappa: 0.7243, kb_relative_information_score: 19062.0413, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8875, predictive_accuracy: 0.8881, prior_entropy: 0.863, recall: 0.8881, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6261, scimark_benchmark: 1841.8217, usercpu_time_millis: 1041.291, usercpu_time_millis_testing: 10.168, usercpu_time_millis_training: 1031.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8621, kappa: 0.6659, kb_relative_information_score: 17305.1415, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8643, predictive_accuracy: 0.8606, prior_entropy: 0.863, recall: 0.8606, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6907, scimark_benchmark: 1835.1893, usercpu_time_millis: 1077.044, usercpu_time_millis_testing: 7.855, usercpu_time_millis_training: 1069.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.934, kappa: 0.8362, kb_relative_information_score: 25344.2325, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4949, scimark_benchmark: 1848.321, usercpu_time_millis: 1086.825, usercpu_time_millis_testing: 8.762, usercpu_time_millis_training: 1078.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9337, kappa: 0.8353, kb_relative_information_score: 25288.3256, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958, scimark_benchmark: 1830.6952, usercpu_time_millis: 1136.19, usercpu_time_millis_testing: 8.42, usercpu_time_millis_training: 1127.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9321, kappa: 0.8314, kb_relative_information_score: 25250.5514, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5001, scimark_benchmark: 1830.1486, usercpu_time_millis: 1117.259, usercpu_time_millis_testing: 3.251, usercpu_time_millis_training: 1114.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9178, kappa: 0.7932, kb_relative_information_score: 24414.2178, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.516, scimark_benchmark: 1821.0871, usercpu_time_millis: 1157.949, usercpu_time_millis_testing: 10.517, usercpu_time_millis_training: 1147.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9411, kappa: 0.8551, kb_relative_information_score: 26401.3644, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.469, scimark_benchmark: 1782.9867, usercpu_time_millis: 1148.587, usercpu_time_millis_testing: 3.754, usercpu_time_millis_training: 1144.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9318, kappa: 0.8304, kb_relative_information_score: 25155.9174, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4978, scimark_benchmark: 1845.9795, usercpu_time_millis: 1202.273, usercpu_time_millis_testing: 6.812, usercpu_time_millis_training: 1195.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9238, kappa: 0.8093, kb_relative_information_score: 24772.9013, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5046, scimark_benchmark: 1842.1882, usercpu_time_millis: 1535.086, usercpu_time_millis_testing: 13.63, usercpu_time_millis_training: 1521.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9221, kappa: 0.805, kb_relative_information_score: 24735.5372, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5133, scimark_benchmark: 1832.6225, usercpu_time_millis: 1958.063, usercpu_time_millis_testing: 7.061, usercpu_time_millis_training: 1951.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9171, kappa: 0.7915, kb_relative_information_score: 24090.1109, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5184, scimark_benchmark: 1787.1203, usercpu_time_millis: 596.385, usercpu_time_millis_testing: 11.752, usercpu_time_millis_training: 584.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9351, kappa: 0.839, kb_relative_information_score: 25682.9137, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4859, scimark_benchmark: 1785.3376, usercpu_time_millis: 516.6, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 514.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9422, kappa: 0.8569, kb_relative_information_score: 25686.6947, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635, scimark_benchmark: 1772.678, usercpu_time_millis: 652.611, usercpu_time_millis_testing: 17.137, usercpu_time_millis_training: 635.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9582, kappa: 0.8975, kb_relative_information_score: 28407.9859, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4004, scimark_benchmark: 1770.733, usercpu_time_millis: 202.073, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 200.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8637, kappa: 0.6658, kb_relative_information_score: 15996.3499, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.863, recall: 0.8638, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6931, scimark_benchmark: 1833.9154, usercpu_time_millis: 235.714, usercpu_time_millis_testing: 7.575, usercpu_time_millis_training: 228.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9241, kappa: 0.8101, kb_relative_information_score: 23111.5368, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5205, scimark_benchmark: 1825.515, usercpu_time_millis: 270.442, usercpu_time_millis_testing: 10.394, usercpu_time_millis_training: 260.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9168, kappa: 0.7906, kb_relative_information_score: 24094.293, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5214, scimark_benchmark: 1792.8314, usercpu_time_millis: 167.777, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 166.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9365, kappa: 0.8425, kb_relative_information_score: 24920.7887, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4854, scimark_benchmark: 1789.4521, usercpu_time_millis: 147.507, usercpu_time_millis_testing: 9.08, usercpu_time_millis_training: 138.427,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.4762, 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: 1779.5287, usercpu_time_millis: 63.349, usercpu_time_millis_testing: 7.987, usercpu_time_millis_training: 55.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.1347, 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: 1769.5856, usercpu_time_millis: 25.801, usercpu_time_millis_testing: 5.653, usercpu_time_millis_training: 20.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.0933, 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: 1770.9017, usercpu_time_millis: 32.66, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 28.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4278, 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: 1761.8792, usercpu_time_millis: 34.826, usercpu_time_millis_testing: 5.914, usercpu_time_millis_training: 28.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.756, 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: 1794.6772, usercpu_time_millis: 11.462, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 10.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9334, kappa: 0.8331, kb_relative_information_score: 19759.1248, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5676, scimark_benchmark: 1793.8394, usercpu_time_millis: 30.028, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 28.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.7893, 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: 1809.641, usercpu_time_millis: 31.437, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 29.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.5243, 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: 1796.6842, usercpu_time_millis: 43.174, usercpu_time_millis_testing: 3.606, usercpu_time_millis_training: 39.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9169, kappa: 0.791, kb_relative_information_score: 24179.9175, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9223, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5187, scimark_benchmark: 1807.5331, usercpu_time_millis: 132.565, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 129.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8805, kappa: 0.7007, kb_relative_information_score: 14099.9428, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.882, predictive_accuracy: 0.8838, prior_entropy: 0.863, recall: 0.8838, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.7044, scimark_benchmark: 1783.2546, usercpu_time_millis: 95.795, usercpu_time_millis_testing: 5.445, usercpu_time_millis_training: 90.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9656, kappa: 0.9153, kb_relative_information_score: 28284.8458, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718, scimark_benchmark: 1794.5998, usercpu_time_millis: 52.261, usercpu_time_millis_testing: 2.561, usercpu_time_millis_training: 49.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.92, kappa: 0.8005, kb_relative_information_score: 18095.5468, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9217, prior_entropy: 0.863, recall: 0.9217, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.613, scimark_benchmark: 1827.8133, usercpu_time_millis: 73.966, usercpu_time_millis_testing: 3.996, usercpu_time_millis_training: 69.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.2639, 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: 1791.0853, usercpu_time_millis: 50.738, usercpu_time_millis_testing: 4.285, usercpu_time_millis_training: 46.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.959, kappa: 0.8991, kb_relative_information_score: 28097.057, mean_absolute_error: 0.0812, 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: 0.1991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3953, scimark_benchmark: 1770.4224, usercpu_time_millis: 175.828, usercpu_time_millis_testing: 8.111, usercpu_time_millis_training: 167.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8586, kappa: 0.6513, kb_relative_information_score: 14678.7906, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.7191, scimark_benchmark: 1776.8205, usercpu_time_millis: 65.645, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 62.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9169, kappa: 0.791, kb_relative_information_score: 23654.0984, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5215, scimark_benchmark: 1795.1149, usercpu_time_millis: 199.771, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 196.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9355, kappa: 0.8402, kb_relative_information_score: 26039.2747, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1796.7493, usercpu_time_millis: 81.271, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 80.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8786, kappa: 0.6909, kb_relative_information_score: 14105.8752, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8937, predictive_accuracy: 0.8863, prior_entropy: 0.863, recall: 0.8863, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6964, scimark_benchmark: 1805.7019, usercpu_time_millis: 111.073, usercpu_time_millis_testing: 8.52, usercpu_time_millis_training: 102.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.4099, 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: 1801.4494, usercpu_time_millis: 71.904, usercpu_time_millis_testing: 7.89, usercpu_time_millis_training: 64.014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8686, kappa: 0.6801, kb_relative_information_score: 17392.0956, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6831, scimark_benchmark: 1812.0819, usercpu_time_millis: 96.737, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 95.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.899, kappa: 0.7487, kb_relative_information_score: 15902.6177, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8993, predictive_accuracy: 0.9007, prior_entropy: 0.863, recall: 0.9007, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1776.3386, usercpu_time_millis: 66.026, usercpu_time_millis_testing: 2.716, usercpu_time_millis_training: 63.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.2529, 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: 1813.0539, usercpu_time_millis: 87.269, usercpu_time_millis_testing: 5.47, usercpu_time_millis_training: 81.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9517, kappa: 0.8812, kb_relative_information_score: 27418.8811, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4309, scimark_benchmark: 1790.5251, usercpu_time_millis: 86.522, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 85.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.941, kappa: 0.8542, kb_relative_information_score: 26138.7774, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4651, scimark_benchmark: 1778.385, usercpu_time_millis: 79.645, usercpu_time_millis_testing: 1.783, usercpu_time_millis_training: 77.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8588, kappa: 0.6523, kb_relative_information_score: 14842.8029, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.722, scimark_benchmark: 1795.4562, usercpu_time_millis: 162.355, usercpu_time_millis_testing: 7.409, usercpu_time_millis_training: 154.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29027.1271, mean_absolute_error: 0.0693, 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: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3669, scimark_benchmark: 1812.41, usercpu_time_millis: 48.034, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 46.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.3555, 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: 1802.8911, usercpu_time_millis: 77.081, usercpu_time_millis_testing: 4.933, usercpu_time_millis_training: 72.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9585, kappa: 0.8982, kb_relative_information_score: 28448.4239, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3965, scimark_benchmark: 1790.2809, usercpu_time_millis: 63.587, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 62.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8662, kappa: 0.6731, kb_relative_information_score: 17014.451, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6831, scimark_benchmark: 1797.1112, usercpu_time_millis: 83.216, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 81.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.4877, 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: 1808.82, usercpu_time_millis: 53.292, usercpu_time_millis_testing: 3.494, usercpu_time_millis_training: 49.798,

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