Fig. 4: Demonstrates the impact of variable importance (βi) and variable importance for optimising the machine learning model to predict triglyceride levels in males (as an example).
From: A supervised machine learning approach with feature selection for sex-specific biomarker prediction
A Depicts model performance (validation score) across different feature counts, highlighting the optimal number of features. B Illustrates variable importance of features (βi) used in the prediction.
