Feature selection is an integral part of machine learning and this post explores what happens when lots of irrelevant features are added to the modeling process. We’ll also identify which algorithms are affected the most by such features. These questions will be addressed as we build a classifier and try to predict which wines we’ll like based on their chemical properties. So pour yourself a glass of Pinot Noir and fire up your R terminal!