Machine Learning & Training

What Is Feature Selection?

Feature selection is the process of choosing a subset of the most relevant input variables for a model. Removing irrelevant or redundant features can reduce overfitting, speed up training, and make models easier to interpret. It is an important step in building efficient machine learning pipelines.