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Results tagged with precision-recall
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user 252375
P&R are a way to measure the relevance of set of retrieved instances. Precision is the % of correct instances out of all instances retrieved. Relevance is the % of true instances retrieved. The harmonic mean of P&R is the F1-score. P&R are used in data mining to evaluate classifiers.
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What does it imply if accuracy and recall are the same?
As OP has mentioned, this is just a coincidence. It's highly likely that number of instances in each class is balanced. Recall = TP/P and Acc = (TP + TN)/(P+N), so in your case TP/P = TN/N. This can h …
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