Predicting host taxonomic information from viral genomes: A comparison of feature representations
Fig 10
This shows an example of how prediction can improve with the number of kernels contributing to the SVM classifier. This shows the results for all the iterations for combining kernels grouped by the number of kernels contributing to the combined kernel, for the dataset for the host order Bacillales with holdout group Siphoviridae. The red points are the results for the single kernels classifiers: DNA_9—nucleotide sequence kmers length 9; AA _4—amino acid kmers of length 4; PC_6—physio-chemical properties of amino acid sequence kmers length 6; Domains—presence of PFAM domain in the sequence.