Assuming a dataset with the following attributes:
Date (truncated), f1 ... fn, #impressions, #goals.

The problem: I want to grow $n$ trees that would find the optimal selection of features and their ranges in each, and that maximize the goal rate (goals / impressions) for future campaigns with high confidence. What would be the suggested approach? Thanks.


It looks like you are looking for random forests!: they perform automatic variable selection and deliver a confidence for its results.

| cite | improve this answer | |

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.