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. 2024 Mar 20;40(4):btae157. doi: 10.1093/bioinformatics/btae157

Table 2.

Models’ scores after testing with an independent SAPPHIRE dataset.a

Model Accuracy Sensitivity Specificity MCC ROC AUC
TemStaPro-t80 0.923 0.849 0.997 0.856 0.990
TemStaPro-t75 0.930 0.868 0.992 0.867 0.989
TemStaPro-t70 0.960 0.951 0.968 0.919 0.993
TemStaPro-t65 0.957 0.957 0.957 0.914 0.993
TemStaPro-t60 0.951 0.987 0.916 0.905 0.995
TemStaPro-t55 0.934 0.989 0.879 0.873 0.996
TemStaPro-t50 0.908 0.989 0.827 0.828 0.993
TemStaPro-t45 0.907 0.989 0.825 0.825 0.992
TemStaPro-t40 0.896 0.995 0.798 0.808 0.993
SAPPHIRE 0.942 0.951 0.933 0.884 0.980
SCMTPP 0.865 0.849 0.881 0.731
ThermoPred 0.86 0.938 0.782 0.729
a

Each column’s highest values are emphasized in bold.