Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131938 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 235.1915, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8307, scimark_benchmark: 1866.1679, usercpu_time_millis: 2.747, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 2.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 255.2535, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8272, scimark_benchmark: 1815.0691, usercpu_time_millis: 9.171, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 8.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7658, kappa: 0.4821, kb_relative_information_score: 250.8475, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, scimark_benchmark: 1809.6916, usercpu_time_millis: 9.38, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 8.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 239.268, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.004, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 198.0464, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.843, scimark_benchmark: 1837.0452, usercpu_time_millis: 7.868, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 6.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 246.8988, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8263, scimark_benchmark: 1858.7074, usercpu_time_millis: 7.602, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 6.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7551, kappa: 0.4528, kb_relative_information_score: 239.2584, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.344, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7639, kappa: 0.4735, kb_relative_information_score: 240.5097, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1778.03, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 243.5413, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1777.6671, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7648, kappa: 0.4738, kb_relative_information_score: 190.8087, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 789.421, usercpu_time_millis: 8.655, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 7.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 230.9678, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, scimark_benchmark: 1842.7946, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7674, kappa: 0.4843, kb_relative_information_score: 257.4512, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7664, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384, scimark_benchmark: 1861.2508, usercpu_time_millis: 9.148, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 8.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7619, kappa: 0.4717, kb_relative_information_score: 246.9396, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1781.5484, usercpu_time_millis: 6.819, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 6.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 230.7584, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1820.6696, usercpu_time_millis: 12.644, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 10.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 259.4329, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1780.5871, usercpu_time_millis: 9.299, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 8.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 241.6006, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 789.5549, usercpu_time_millis: 16.881, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 15.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 249.6001, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 789.5549, usercpu_time_millis: 17.873, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 16.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 186.2328, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8474, scimark_benchmark: 1814.3331, usercpu_time_millis: 4.432, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 3.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7633, kappa: 0.4729, kb_relative_information_score: 227.7577, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 1837.2976, usercpu_time_millis: 0.699, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7579, kappa: 0.4625, kb_relative_information_score: 237.7242, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7566, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396, scimark_benchmark: 1806.8145, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6393, kappa: 0.2108, kb_relative_information_score: 99.9447, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7365, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9071, scimark_benchmark: 1813.724, usercpu_time_millis: 0.365, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1912, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1813.6629, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 239.4059, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1807.4811, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7701, kappa: 0.4901, kb_relative_information_score: 234.7493, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1838.2516, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7041, kappa: 0.3361, kb_relative_information_score: 116.5386, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7411, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8979, scimark_benchmark: 1830.7127, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7486, kappa: 0.4363, kb_relative_information_score: 210.6165, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, scimark_benchmark: 1821.3741, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7495, kappa: 0.4372, kb_relative_information_score: 196.8579, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7529, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1867.725, usercpu_time_millis: 3.19, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 2.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 249.038, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1831.2156, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 218.9622, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1841.8406, usercpu_time_millis: 2.091, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7607, kappa: 0.4657, kb_relative_information_score: 197.6202, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8463, scimark_benchmark: 1836.792, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7522, kappa: 0.4428, kb_relative_information_score: 180.4591, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7577, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8514, scimark_benchmark: 1844.7028, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 240.3505, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8374, scimark_benchmark: 1857.7844, usercpu_time_millis: 0.406, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7598, kappa: 0.4628, kb_relative_information_score: 183.252, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8471, scimark_benchmark: 1866.1679, usercpu_time_millis: 2.67, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7598, kappa: 0.4677, kb_relative_information_score: 250.8175, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1817.8913, usercpu_time_millis: 2.276, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.044,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 235.039, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8328, scimark_benchmark: 1864.4376, usercpu_time_millis: 2.222, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 230.7341, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1867.1999, usercpu_time_millis: 5.364, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 4.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 239.8397, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1855.4806, usercpu_time_millis: 3.474, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 3.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7701, kappa: 0.4869, kb_relative_information_score: 198.3086, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1762.7013, usercpu_time_millis: 9.184, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 7.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.3717, kb_relative_information_score: 147.6107, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.724, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9, scimark_benchmark: 1746.6302, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7352, kappa: 0.4054, kb_relative_information_score: 194.9523, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.737, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8561, scimark_benchmark: 1787.6295, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7554, kappa: 0.4538, kb_relative_information_score: 239.7076, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7548, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1755.5941, usercpu_time_millis: 3.21, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.6242, kappa: 0.184, kb_relative_information_score: 94.7368, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.912, scimark_benchmark: 1794.854, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5194, kappa: 0.0097, kb_relative_information_score: 55.1868, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.6536, prior_entropy: 0.9335, recall: 0.6536, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9478, scimark_benchmark: 1793.4209, usercpu_time_millis: 1.317, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7533, kappa: 0.4513, kb_relative_information_score: 241.1005, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, scimark_benchmark: 1744.1084, usercpu_time_millis: 0.424, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.755, kappa: 0.4514, kb_relative_information_score: 225.596, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1760.2297, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 223.701, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8328, scimark_benchmark: 1743.1474, usercpu_time_millis: 3.904, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 3.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7598, kappa: 0.4642, kb_relative_information_score: 220.4196, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7591, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1792.5057, usercpu_time_millis: 2.115, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 245.9564, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1732.2763, usercpu_time_millis: 7.207, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 6.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 238.2155, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1972.6725, usercpu_time_millis: 10.415, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 8.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.755, kappa: 0.4514, kb_relative_information_score: 216.0277, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1757.2086, usercpu_time_millis: 3.954, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7251, kappa: 0.3825, kb_relative_information_score: 164.6998, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7269, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8803, scimark_benchmark: 1758.5397, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1996, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 789.421, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.2674, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 788.5001, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7496, kappa: 0.4394, kb_relative_information_score: 217.0486, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.137, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7527, kappa: 0.4479, kb_relative_information_score: 232.4328, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 1903.7257, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7293, kappa: 0.3913, kb_relative_information_score: 164.5564, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7327, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 789.663, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 240.9919, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1758.9474, usercpu_time_millis: 3.804, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: 0.1006, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1764.6925, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 247.0685, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1725.4204, usercpu_time_millis: 9.411, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 8.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 238.3794, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1728.6311, usercpu_time_millis: 9.59, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 8.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: -0.0348, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 789.8912, usercpu_time_millis: 2.411, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7576, kappa: 0.4615, kb_relative_information_score: 244.2378, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8322, scimark_benchmark: 1748.9234, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 249.3971, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1757.1582, usercpu_time_millis: 4.426, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 3.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 248.6486, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1752.6779, usercpu_time_millis: 8.499, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 7.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7494, kappa: 0.4378, kb_relative_information_score: 214.8576, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7349, kappa: 0.403, kb_relative_information_score: 165.2872, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7423, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8605, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.576, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 2.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7707, kappa: 0.4887, kb_relative_information_score: 245.2318, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7701, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8259, scimark_benchmark: 1868.784, usercpu_time_millis: 3.934, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 3.523,

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