Features | Training | Testing | ||||||
---|---|---|---|---|---|---|---|---|
Sensitivity | Specificity | Accuracy | MCC | Sensitivity | Specificity | Accuracy | MCC | |
AAC | 0.896 | 0.931 | 0.914 | 0.828 | 0.930 | 0.932 | 0.932 | 0.786 |
N5C5 | 0.905 | 0.931 | 0.918 | 0.836 | 0.960 | 0.914 | 0.922 | 0.772 |
k-space = 0 | 0.890 | 0.929 | 0.909 | 0.819 | 0.940 | 0.944 | 0.943 | 0.819 |
k-space = 1 | 0.933 | 0.950 | 0.942 | 0.884 | 0.910 | 0.944 | 0.940 | 0.803 |
k-space = 2 | 0.924 | 0.942 | 0.933 | 0.866 | 0.910 | 0.956 | 0.948 | 0.825 |
AAC + k-space = 0 | 0.892 | 0.942 | 0.917 | 0.835 | 0.960 | 0.942 | 0.945 | 0.828 |
AAC + N5C5 | 0.918 | 0.920 | 0.919 | 0.838 | 0.960 | 0.946 | 0.948 | 0.836 |
N5C5 + k-space = 0 | 0.922 | 0.948 | 0.935 | 0.871 | 0.970 | 0.948 | 0.950 | 0.843 |
AAC + N5C5 + k-space 0 | 0.927 | 0.950 | 0.938 | 0.877 | 0.970 | 0.948 | 0.952 | 0.847 |
PSSM | 0.950 | 0.948 | 0.949 | 0.898 | 0.940 | 0.930 | 0.932 | 0.789 |