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) ?
Similarly, how about:
UnRecall = (True Negatives)/(True Negatives + False Positives) ?
If not, why not?
Or is it just a case of semantics, where we just swap the terms positive and negative if needed, so we can use the same forumla?