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Can you elaborate on this?

How would one convert a classic conversion-rate optimization task to use an ML scorer? Would that mean converting it into a classification problem?

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It becomes a regression problem. You use ML to estimate the conversion rate for each item. You still have to do feature engineering, but fast regressors like XGBoost make this much easier. https://improve.ai is one such scorer/ranker built on XGBoost.

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