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Fig. 4 | BMC Bioinformatics

Fig. 4

From: A machine learning approach for viral genome classification

Fig. 4

Performance of CASTOR with COMET and REGA predictors on HIV-1 datasets. The panels a and b show the percentage of correct classifications for HIV-1 complete genomes and HIV-1 pol fragments, respectively. The number of instances and the associated classes for each sampling is presented above the panels. Complete sampling corresponds to 10% of Los Alamos HIV data selected randomly. In specific subtypes sampling, the predictors are assessed against their trained classes. In common subtypes sampling, the predictors are assessed against the intersection of the classes of the three trained predictors

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