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Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

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Figure

Fig. 1 The F1 score, precision, recall, and AUPR (where tools are sorted by decreasing mean F1 score) across datasets with available truth sets formaximize F1 score, adjusted for each dataset and tool
Fig. 2 Number of false positives called by different tools as a function of dataset features
Fig. 3 Combining results from imprecise tools can predict the true number of species in a dataset
Fig. 4 (See legend on next page.)
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