Validation, Overfitting, Underfitting, Overfitting Underfitting, Machine Learning.
the fundamental idea always remains that we don’t want the model with minimum error on the training dataset but we want to find those parameters at which our test dataset error is minimized even if the error is more on the training dataset. Making a balancing act between the two is the job of a