Figure 8. Values of Precision, Recall, and Accuracy of the MaxEnt 2 Classifier Plotted against the Corresponding Log-Scores Provided by the Classifier.

Precision is defined as  , recall is defined as  , and accuracy is defined as  . The optimum accuracy was close to 88%, and attained a score threshold slightly above 0. We can improve precision at the expense of accuracy. For example, by setting the threshold score to 0.6702, we can bring the overall database precision to 95%, which would correspond to a recall of 77.91% and to an overall accuracy of 84.18%.