Recall is computed as the fraction of correct instances among all instances that actually belong to the relevant subset i.e (Recall = Actual True Positive rate) .
Recall = TP / ( TP + FN)
Recall Graph
JRip has the highest True positive rate followed closely by J48 Decision Tree .
Naive Bayes and SVM does very poorly with very low True positive rate i.e very large positive examples misclassified as the negative class.