You have trained a linear regression model, and you observe that the $R^2$ value for the training data

is significantly higher than the $R^2$ value for the test data. What can you infer about the model?

A$.$ The model is well$-$fit and has good generalization to unseen data.

B$.$ The model is overfitting the training data.

C$.$ The model is underfitting the training data.

D$.$ The model is not learning from the training data.