A benchmark of categorical encoders for binary classification

Categorical encoders transform categorical features into numerical representations that are indispensable for a wide range of machine learning models.Existing encoder benchmark studies lack generalizability because of their limited choice of (1) encoders, (2) experimental factors, and (3) datasets.