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. 2025 Mar 8;7(1):lqaf016. doi: 10.1093/nargab/lqaf016

Figure 1.

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.