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Random forest is a machine-learning method based on combining the outputs of many decision trees.

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Training with oversampling

I'm building a Random Forest model over an unbalaced 4 class dataset. So far I understood how to use oversampling and train my model. My doubt was about when to perform Oversampling. I've already seen …
Mattia Surricchio's user avatar