A colleague has built a Polynomial Regression model and suspects overfitting. What diagnostic tools and techniques would you recommend to confirm or deny this suspicion?
- Cross-validation and visual inspection of residuals
- Ignore the suspicion
- Increase polynomial degree
- Look at training data only
Cross-validation and visual inspection of residuals are common techniques to detect overfitting. They can help in assessing how well the model generalizes to new data, revealing any overfitting issues.
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