Table 4.
The performances of individual feature-based models on balanced Human dataset
| Index | Feature | AUC | ACC | SN | SP |
|---|---|---|---|---|---|
| F1 | 1-Spectrum Profile | 0.754 | 0.690 | 0.731 | 0.649 |
| F2 | 2-Spectrum Profile | 0.841 | 0.756 | 0.780 | 0.732 |
| F3 | 3-Spectrum Profile | 0.839 | 0.750 | 0.747 | 0.754 |
| F4 | 4-Spectrum Profile | 0.829 | 0.740 | 0.732 | 0.748 |
| F5 | 5-Spectrum Profile | 0.802 | 0.718 | 0.681 | 0.755 |
| F6 | (3,1)-Mismatch Profile | 0.862 | 0.772 | 0.819 | 0.725 |
| F7 | (4,1)-Mismatch Profile | 0.854 | 0.761 | 0.788 | 0.734 |
| F8 | (5,1)-Mismatch Profile | 0.842 | 0.750 | 0.754 | 0.747 |
| F9 | (3,1)-Subsequence Profile | 0.850 | 0.767 | 0.809 | 0.725 |
| F10 | (4,1)-Subsequence Profile | 0.866 | 0.782 | 0.821 | 0.743 |
| F11 | (5,1)-Subsequence Profile | 0.875 | 0.791 | 0.829 | 0.754 |
| F12 | 1-RevcKmer | 0.746 | 0.699 | 0.889 | 0.509 |
| F13 | 2-RevcKmer | 0.803 | 0.724 | 0.774 | 0.673 |
| F14 | 3-RevcKmer | 0.818 | 0.732 | 0.765 | 0.698 |
| F15 | 4-RevcKmer | 0.808 | 0.718 | 0.717 | 0.718 |
| F16 | 5-RevcKmer | 0.791 | 0.702 | 0.658 | 0.746 |
| F17 | PCPseDNC | 0.836 | 0.757 | 0.776 | 0.738 |
| F18 | PCPseTNC | 0.849 | 0.765 | 0.787 | 0.742 |
| F19 | SCPseDNC | 0.833 | 0.754 | 0.770 | 0.739 |
| F20 | SCPseTNC | 0.832 | 0.751 | 0.777 | 0.725 |
| F21 | Sparse Profile | 0.904 | 0.819 | 0.815 | 0.824 |
| F22 | PSSM | 0.880 | 0.807 | 0.815 | 0.799 |
| F23 | LSSTE | 0.688 | 0.631 | 0.664 | 0.598 |