# Is there a 'precision' or 'recall' metric for True Negatives?

Noob question..

Accuracy is defined as percentage of predictions that are correct.

Accuracy = (True Positives + True Negatives)/(All classifications)

Precision is defined as percentage of positive predictions that are correct.

Precision = (True Positives)/(True Positives + False Positives)

Is there a term for the percentage of negative predictions that are correct:

UnPrecision = (True Negatives)/(True Negatives+ False Negatives) ?