Table 2 Performance of the ensembled sex-aggregated XGBoost model on external datasets
From: Waist circumference prediction for epidemiological research using gradient boosted trees
Model: | United Kingdom (National Diet and Nutrition Survey; 2000–2001) | People’s Republic of China (China Health and Nutrition Survey; 2015) | ||||
|---|---|---|---|---|---|---|
Proportion of Dataset | RMSE | Bias | Proportion of Dataset | RMSE | Bias | |
Overall | 100 | 7.65 | 4.63 | 100 | 7.1 | −1.7 |
Female | 54.7 | 9.26 | 7.34 | 53.5 | 7.45 | −2.02 |
Asian | 0.4 | 6.4 | 4.92 | 53.5 | 7.45 | −2.02 |
Black | 1.2 | 4.81 | 2.85 | – | – | – |
Hispanic | 0.9 | 11.18 | 9.07 | – | – | – |
Other/Mixed | 1 | 11.39 | 8.18 | – | – | – |
White | 51.3 | 9.31 | 7.47 | – | – | – |
Male | 45.3 | 5.41 | 1.73 | 46.5 | 6.67 | −1.34 |
Asian | 0.5 | 4.13 | 0.34 | 46.5 | 6.67 | −1.34 |
Black | 1 | 6.68 | −3.08 | – | – | – |
Hispanic | 0.2 | 2.57 | 2.37 | – | – | – |
Other/Mixed | 0.8 | 4.21 | 1 | – | – | – |
White | 42.7 | 5.42 | 1.87 | – | – | – |