Q$3$ Which is true about generalization in machine learning?

$($A$)$ The generalization performance refers to the error on the training data.

$($B$)$ The generalization performance refers to the error on the validation data.

$($C$)$ Increasing the model complexity may or may not help the generalization performance

$($D$)$ Increasing the training dataset size cannot help the generalization

Solution: