How would you handle overfitting in a machine learning model?
Anonymous
I explained how I used Random Forests, which leverage bagging, in a previous project. The ensemble of decision trees reduced overfitting compared to a single tree by averaging predictions and ensuring robust generalization on unseen data.
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