There are more than 3 dozen curses in Harry Potter. Data scientists have only one – the “curse of dimensionality.” Dimensionality is the number of predictors or input variables in a model, and the “curse” refers to the problems that result from including too many features (predictor variables) in a model. Old curses are awakenedContinue reading “The Curse of Dimensionality”