Target encoding transforms categorical variables into continuous ones by replacing categories with the average of the target variable associated with them. This method reveals the relationship between categories and the target, enhancing the performance of decision trees. It’s a powerful technique that demonstrates how effective machine learning can be, even if it’s not perfect.
