@mohdsanadzakirizvi wrote:
The RF documentation in sklearn has an interesting parameter warm_start that is used to “reuse the solution of the previous call to fit and add more estimators to the ensemble, otherwise, just fit a whole new forest.”
I was wondering if anyone has used it before and if yes, what was the effect on predictive power of the model?
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