When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule - KDnuggets

The world and data are not static. But most machine learning models are. Once they are in production, they become less relevant with time. The data distributions evolve, the behavioral patterns change, and models need updates to keep up with new reality. The usual process is to retrain the models at defined intervals.