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. 2018 Oct 24;16:412–420. doi: 10.1016/j.csbj.2018.10.007

Fig. 2.

Fig. 2

Performance of different ML-based models using the benchmarking data set. AAC: amino acid composition; DPC: dipeptide composition; CTD: chain-transition-distribution; AAI: amino acid index; PCP: physicochemical properties; H1: AAC + AAI; H2: AAC + DPC + AAI; H3: AAC + DPC + AAI + CTD; H4: AAC + DPC + AAI + CTD + PCP; H5: AAC + DPC; H6: AAC + CTD; H7: AAC + PCP; H8: AAI + DPC; H9: AAI + DPC + CTD; H10: AAI + DPC + CTD + PCP; H11: AAI + CTD; H12: AAI + PCP; H13: DPC + CTD; H14: DPC + CTD + PCP; H15: DPC + PCP; and H16: CTD + DPC.