Which statement is true about supervised learning?

$($A$)$ Overfitting is desirable.

$($B$)$ Underfitting is desirable.

$($C$)$ We should try our best to find a model that perfectly fits the observed data.

$($D$)$ No sample should be included in both training and test sets.