Table 1.
Regression Model | R2 | RMSE |
---|---|---|
Linear | 74.98 ± 7.45 | 0.3781 ± 0.06380 |
Lasso (α = 0.0001) |
74.99 ± 7.45 | 0.3801 ± 0.0519 |
Ridge (α = 0.4) |
75.03 ± 7.37 | 0.3780 ± 0.0639 |
Elastic Net (α = 0.001) |
75.00 ± 7.41 | 0.3781 ± 0.0640 |
Bayesian Ridge | 75.01 ± 7.42 | 0.3780 ± 0.0639 |
The models were developed using the four best features (height, sex, and weight at age 18 and FEV1 at age 10) as predictors of FEV1. Here, R2 = average goodness-of-fit measure for regression models represented as a percentage and RMSE = average root mean squared error.