Variable selection in variable-domain functional logistic regression

Key Points

• Variable selection enhances predictive accuracy in functional logistic regression models.
• Key evidence includes improved prediction rates noted in high-dimensional data settings.
• Assessment using functional logistic regression highlights best practices for variable selection.
• This analysis supports improved predictive modeling with variable selection strategies for complex datasets.