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RESCRIPt: Reproducible sequence taxonomy reference database management

Fig 7

Comparison of taxonomic information and simulated classification accuracy across several successive steps of quality filtering of the NR99 16S rRNA gene databases.

A, Number of unique taxonomic labels; B, Taxonomic entropy; C, optimal classification accuracy from the evaluate-fit-classifier action (as F-Measure) without cross-validation (simulating best possible classification accuracy when the true label is known but classification accuracy may be confounded by other similar hits in the database); D, optimal classification accuracy from the evaluate-cross-validate action (as F-Measure), which simulates pseudo-realistic classification task whereby a set of query sequences may not have an exact match in the reference database. See Fig 6 Legend for label descriptions. Rank labels on x-axis: D = domain, P = phylum, C = class, O = order, F = family, G = genus, S = species.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1009581.g007