Feature selection is a critical pre-processing step in machine learning that seeks to identify a subset of input variables most relevant to predictive modelling. By reducing dimensionality, it ...

High-dimensional datasets, characterised by a large number of variables relative to observations, pose significant challenges in modern data analysis. The curse of dimensionality can lead to ...