Instruction: List and describe techniques to prevent overfitting in machine learning models.
Context: This question tests the candidate's familiarity with strategies to combat overfitting, ensuring model generalization.
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The way I'd approach it in an interview is this: I avoid overfitting by first making sure the evaluation setup is clean. If there is leakage, duplicate examples across splits, or target information hidden inside features, no amount of regularization will save the model. Once...