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. 2019 Jan 10;20:9. doi: 10.1186/s13059-018-1614-y

Fig. 3.

Fig. 3

Relevance of the iterative training procedure. For each of the 13 test data sets, we compare the performance (AUC-PR) achieved by the (set of) classifier(s) trained on the initial negative regions (abscissa) with the performance achieved by averaging over all classifiers from the iterative training procedure (ordinate)

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