Fig. 3
From: A machine learning approach for viral genome classification
Learning algorithm evaluation on five datasets. This figure illustrates the F-measure distribution (boxplot) of seven learning algorithms on the prediction of a HPV genera, b HPV Alpha species, c HBV genotypes, d HIV-1 M subtypes with complete genomes e HIV-1 M subtypes with pol fragments. HPV and HBV datasets are complete genomes. The number below each boxplot corresponds to the statistically discriminative rank of the algorithms. The ranking is performed with paired Student’s t test. μ, σ are the mean and the standard deviation of the overall F-measures, respectively. p is the p-value of the statistically significance of the weighted F-measure mean differences among the algorithms computed with the Wilcoxon/Kruskal-Wallis test