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F-scores are often inappropriately interpreted as measures of review quality when evaluating predictive coding results. To get a better understanding of how an application of predictive coding has performed, the component elements of the f-score — precision and recall — should be reviewed. But what do precision and recall scores indicate and how do they relate?
In the context of TAR and predictive coding, precision is a measure of how often an algorithm accurately predicts a document to be responsive. In other words, what percentage of the produced documents are actually responsive. A low precision score tells us that […]
Read the complete article at: Understanding Precision and Recall