Assessing Model Accuracy
Published:
Overview
Content from ISL Chapter study notes. Details coming soon.
Key Concepts
- Mean Squared Error (MSE)
- Bias-Variance Trade-Off
- Training Error vs. Test Error
- Overfitting and Underfitting
- Flexibility vs. Interpretability
References
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An Introduction to Statistical Learning (2nd ed.). Springer.