Dataset | Method | ACC | F1 | AUC | F1_weighted | F1_macro |
---|---|---|---|---|---|---|
ROSMAP | 2-layer MODILM (Ours) | 0.843 | 0.850 | 0.891 | –- | –- |
3-layer MODILM | 0.803 | 0.811 | 0.875 | –- | –- | |
4-layer MODILM | 0.731 | 0.756 | 0.839 | –- | –- | |
LGG-2 | 2-layer MODILM (Ours) | 0.975 | 0.978 | 0.993 | –- | –- |
3-layer MODILM | 0.928 | 0.946 | 0.917 | –- | –- | |
4-layer MODILM | 0.849 | 0.883 | 0.919 | –- | –- | |
BRCA | 2-layer MODILM (Ours) | 0.845 | –- | –- | 0.840 | 0.804 |
3-layer MODILM | 0.809 | –- | –- | 0.795 | 0.713 | |
4-layer MODILM | 0.765 | –- | –- | 0.731 | 0.612 | |
SKCM | 2-layer MODILM (Ours) | 0.928 | –- | –- | 0.927 | 0.925 |
3-layer MODILM | 0.902 | –- | –- | 0.902 | 0.903 | |
4-layer MODILM | 0.894 | –- | –- | 0.895 | 0.894 | |
LGG-4 | 2-layer MODILM (Ours) | 0.954 | –- | –- | 0.954 | 0.948 |
3-layer MODILM | 0.881 | –- | –- | 0.865 | 0.838 | |
4-layer MODILM | 0.795 | –- | –- | 0.769 | 0.748 | |
LUSC | 2-layer MODILM (Ours) | 0.865 | –- | –- | 0.855 | 0.833 |
3-layer MODILM | 0.768 | –- | –- | 0.687 | 0.626 | |
4-layer MODILM | 0.750 | –- | –- | 0.677 | 0.621 |