Despite their flexibility, GAMs have some limitations:
Complexity: The models can become complex and computationally intensive, especially with large datasets and many predictors. Overfitting: Without proper penalization, GAMs can overfit the data, capturing noise rather than the underlying signal. Interpretability: The smooth functions can be difficult to interpret compared to linear coefficients.
