S. Safi

Robust feature selection with minimum redundancy for binary gene expression classification in machine learning

High-dimensional gene expression data often contain noisy, irrelevant, and redundant features that can reduce classification accuracy, increase computational burden, and weaken model stability. Therefore, effective feature selection is essential for improving predictive performance and interpretability in biomedical ma...