Describe the main limitation of Generalized Additive Models (GAMs).
Group of answer choices
Generalized Additive Models are prone to overfitting, especially with a large number of predictors, because they fit complex interactions between variables.
Generalized Additive Models require all predictors to be categorical, which limits their applicability to datasets with continuous variables.
Generalized Additive Models assume additive effects of predictors, which may oversimplify relationships when there are significant interactions between predictors.
Generalized Additive Models are difficult to interpret because they transform the predictors into a set of basis functions, obscuring the original relationships.
Generalized Additive Models cannot handle non-linear relationships between predictors and the response variable, limiting their flexibility.