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Results tagged with precision-recall
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user 42433
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.
17
votes
5
answers
65k
views
How to calculate precision and recall in a 3 x 3 confusion matrix
Predicted
class
Cat Dog Rabbit
Actual class
Cat 5 3 0
Dog 2 3 1
Rabbit 0 2 11
How c …
- 173