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When you are creating a statistical model how do you prevent over-fitting?
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Answer Posted / Sahil Chaudhary
To prevent overfitting in a statistical model, techniques such as cross-validation, regularization (like L1 or L2 regularization), using less complex models, and collecting more data can be employed. These strategies help ensure that the model generalizes well to new data.
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