What does recall mean in Machine Learning?
What's the meaning of recall of a classifier, e.g. bayes classifier? please give an example.
for example, the Precision = correct/correct+wrong docs for test data. how to understand recall?
Answer
Recall literally is how many of the true positives were recalled (found), i.e. how many of the correct hits were also found.
Precision (your formula is incorrect) is how many of the returned hits were true positive i.e. how many of the found were correct hits.