Table 4 Comparison of machine learning algorithms for BMI prediction task.
From: The exhaled breath pattern as a potential method for biometrics identification
Metric | Linear Regression | Random Forest | LGBMRegressor | XGBRegressor |
|---|---|---|---|---|
MAE | 4.09 | 4.10 | 2.81 | 2.99 |
MSE | 36.13 | 23.84 | 10.90 | 12.61 |
RMSE | 6.01 | 4.88 | 3.30 | 3.55 |
MAPE [%] | 14.72 | 10.77 | 11.45 | 11.45 |
Pearson Correlation | 0.2621 | 0.2453 | −0.0050 | −0.3254 |
Std. Dev. of Pred. | 4.68 | 0.34 | 1.09 | 3.81 |