Recall measures the proportion of the total possible true positive results that the Model was able to identify.
Recall = true positives
true positives + false negatives
For example, for every 100 verbatims which should have been labelled as ‘Request for information’, the recall would be the percentage that ReInfer successfully found.
A 77% recall would mean that for every 100 Verbatims that should have had a specific Label predicted, there would be 23 Verbatims which should have been predicted as having the Label, but ReInfer missed them.
For a more detailed explanation on how recall works, please see here.