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 ...

Feature selection is a critical pre-processing step in classification that aims to identify the most informative variables while discarding redundant or irrelevant ones. Multi-objective feature ...