Figure 1.
Average precision (an estimate of AUPRC) as a function of the number of features included in the training set. Each dot indicates an iteration of the algorithm used to remove non-informative features. The shaded area is the standard deviation of 10 cross-validation folds. The vertical dash line indicates the point where a drop of AUPRC occurred.
