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This repository has been archived by the owner on Apr 8, 2021. It is now read-only.
Having trained N trees, you can then treat each of those N predictions as a feature itself, and run a logistic regression over that (thus "stacking" a logistic regression model on top of the decision tree model). It would be interesting to experiment with this.
The text was updated successfully, but these errors were encountered:
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Having trained N trees, you can then treat each of those N predictions as a feature itself, and run a logistic regression over that (thus "stacking" a logistic regression model on top of the decision tree model). It would be interesting to experiment with this.
The text was updated successfully, but these errors were encountered: