Yeah, was the model trained using train/test splits? otherwise, the model likely... | Hacker News

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huac on Feb 17, 2020 | parent | context | favorite | on: Using symbolic regression to predict rare events

Yeah, was the model trained using train/test splits? otherwise, the model likely has been severely overfit.

I wonder how this performance would have compared to a simple random forest or MLP model.

jlamberts on Feb 17, 2020 [–]

I was also curious. Using an out-of-the-box weighted random forest, I got an f-score of ~.85 using a 75:25 stratified train-test split.

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