Md Ashraf Ul Alam

Variable Selection Method Based on Partial Least Squares Regression combined with Monte Carlo, Uninformative Variable Elimination and Genetic Algorithm

Background:Feature selection is essential for building accurate and interpretable predictive models, particularly in high-dimensional datasets where multicollinearity, noise, and redundant variables can severely degrade model performance. Existing single-stage or heuristic selection methods often struggle to balance pr...