Figure 3From: Ranking the whole MEDLINE database according to a large training set using text indexingRecall and precision of the algorithm. The recall and the precision of the algorithm were checked in a set of 6,923 references not included in the training set. Manual examination of the set resulted in the identification of 204 references (positives) relevant to stem cells. Recall was measured as TP/(TP+FN) and precision as TP/(TP+FP), where TP is true positives, FP is false positives, and FN is false negatives.Back to article page