From: Sequence-based bacterial small RNAs prediction using ensemble learning strategies
Index | Feature | AUC | ACC | SN | SP | ||||
---|---|---|---|---|---|---|---|---|---|
RF | SVM | RF | SVM | RF | SVM | RF | SVM | ||
F1 | 1-spectrum profile | 0.682 | 0.657 | 0.560 | 0.512 | 0.912 | 0.985 | 0.209 | 0.039 |
F2 | 2-spectrum profile | 0.829 | 0.821 | 0.756 | 0.749 | 0.792 | 0.788 | 0.720 | 0.711 |
F3 | 3-spectrum profile | 0.909 | 0.874 | 0.834 | 0.800 | 0.863 | 0.835 | 0.805 | 0.765 |
F4 | 4-spectrum profile | 0.923 | 0.909 | 0.860 | 0.840 | 0.873 | 0.866 | 0.846 | 0.814 |
F5 | 5-spectrum profile | 0.912 | 0.896 | 0.842 | 0.822 | 0.847 | 0.874 | 0.838 | 0.770 |
F6 | (3, m)-mismatch profile | 0.769 | 0.795 | 0.679 | 0.717 | 0.807 | 0.812 | 0.552 | 0.622 |
F7 | (4, m)-mismatch profile | 0.880 | 0.885 | 0.797 | 0.816 | 0.814 | 0.843 | 0.780 | 0.789 |
F8 | (5, m)-mismatch profile | 0.913 | 0.907 | 0.835 | 0.832 | 0.848 | 0.882 | 0.822 | 0.782 |
F9 | 1-RevcKmer | 0.632 | 0.655 | 0.516 | 0.542 | 0.972 | 0.935 | 0.060 | 0.150 |
F10 | 2-RevcKmer | 0.842 | 0.804 | 0.765 | 0.726 | 0.828 | 0.817 | 0.702 | 0.636 |
F11 | 3-RevcKmer | 0.924 | 0.868 | 0.855 | 0.791 | 0.848 | 0.831 | 0.863 | 0.750 |
F12 | 4-RevcKmer | 0.938 | 0.894 | 0.880 | 0.818 | 0.880 | 0.869 | 0.880 | 0.768 |
F13 | 5-RevcKmer | 0.937 | 0.906 | 0.874 | 0.829 | 0.859 | 0.856 | 0.889 | 0.802 |
F14 | PCPseDNC | 0.895 | 0.905 | 0.827 | 0.828 | 0.850 | 0.868 | 0.803 | 0.787 |
F15 | PCPseTNC | 0.931 | 0.922 | 0.862 | 0.857 | 0.856 | 0.848 | 0.868 | 0.865 |
F16 | SCPseDNC | 0.902 | 0.888 | 0.825 | 0.811 | 0.841 | 0.810 | 0.809 | 0.811 |
F17 | SCPseTNC | 0.905 | 0.910 | 0.825 | 0.840 | 0.854 | 0.841 | 0.795 | 0.839 |