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. 2022 Feb 28;13:839540. doi: 10.3389/fgene.2022.839540

TABLE 7.

Results of comparing with state-of-the-art methods on three datasets.

Dataset Method Acc Prec Sen F1 MCC AUC
RPI369 RPISeq-RF 0.704 0.707 0.705 0.706 0.409 0.767
lncPro 0.704 0.713 0.708 0.710 0.409 0.740
SDA-RF 0.707 0.689 0.699 0.694 0.416 0.754
SDA-FT-RF 0.693 0.602 0.664 0.631 0.396 0.728
SAWRPI 0.710 0.692 0.756 0.723 0.422 0.746
RPI488 RPISeq-RF 0.880 0.932 0.926 0.929 0.762 0.903
lncPro 0.870 0.910 0.900 0.905 0.740 0.901
SDA-RF 0.880 0.928 0.922 0.925 0.762 0.904
SDA-FT-RF 0.881 0.926 0.916 0.921 0.762 0.909
SAWRPI 0.895 0.938 0.844 0.889 0.791 0.922
RPI1807 RPISeq-RF 0.973 0.960 0.968 0.964 0.946 0.996
lncPro 0.969 0.955 0.965 0.960 0.938 0.994
SDA-RF 0.972 0.962 0.970 0.966 0.944 0.995
SDA-FT-RF 0.972 0.940 0.955 0.947 0.944 0.995
SAWRPI 0.967 0.961 0.981 0.971 0.934 0.992

The bold values represent the higher values each column of three datasets.