u/Eric_m12

I am working on an ensemble model but errors are to closely related. For concept, say you have two machine learning models and you want correctness correlation to virtually be 0. How can you inject/program that in via feature engineering? or some other way?

ps. I don't want to do it iteratively through feature and model selection / parameters. That is doing almost nothing. Thanks