Breast Cancer Subtypes | Ensemble RF | Ensemble EN | Concate RF | Concate EN | DIABLO | SMPSL | DeepMo | DSCCN |
---|---|---|---|---|---|---|---|---|
Accuracy | ||||||||
Basal vs Her2 | 0.826 | 0.870 | 0.826 | 0.782 | 0.857 | 0.913 | 0.912 | 0.926 |
Basal vs LumA | 0.946 | 0.959 | 0.946 | 0.919 | 0.911 | 0.959 | 0.941 | 0.982 |
Basal vs LumB | 0.923 | 0.929 | 0.952 | 0.952 | 0.935 | 0.786 | 0.948 | 0.965 |
Her2 vs LumA | 0.905 | 0.921 | 0.921 | 0.952 | 0.920 | 0.825 | 0.910 | 0.951 |
Her2 vs LumB | 0.839 | 0.839 | 0.839 | 0.839 | 0.864 | 0.774 | 0.908 | 0.926 |
LumA vs LumB | 0.756 | 0.732 | 0.829 | 0.841 | 0.814 | 0.732 | 0.783 | 0.844 |
AUC | ||||||||
Basal vs Her2 | 0.795 | 0.921 | 0.779 | 0.772 | 0.812 | 0.909 | 0.989 | 0.982 |
Basal vs LumA | 0.889 | 0.929 | 0.907 | 0.857 | 0.850 | 0.850 | 0.939 | 0.997 |
Basal vs LumB | 0.921 | 0.929 | 0.952 | 0.950 | 0.811 | 0.735 | 0.978 | 0.997 |
Her2 vs LumA | 0.625 | 0.688 | 0.643 | 0.700 | 0.620 | 0.775 | 0.983 | 0.948 |
Her2 vs LumB | 0.643 | 0.723 | 0.662 | 0.770 | 0.536 | 0.755 | 0.938 | 0.951 |
LumA vs LumB | 0.778 | 0.695 | 0.797 | 0.769 | 0.670 | 0.751 | 0.838 | 0.857 |
F1 score | ||||||||
Basal vs Her2 | 0.875 | 0.875 | 0.875 | 0.828 | 0.761 | 0.929 | 0.914 | 0.933 |
Basal vs LumA | 0.875 | 0.875 | 0.882 | 0.833 | 0.985 | 0.824 | 0.927 | 0.988 |
Basal vs LumB | 0.914 | 0.914 | 0.950 | 0.947 | 0.987 | 0.640 | 0.957 | 0.974 |
Her2 vs LumA | 0.400 | 0.400 | 0.444 | 0.571 | 0.983 | 0.560 | 0.837 | 0.973 |
Her2 vs LumB | 0.444 | 0.444 | 0.444 | 0.667 | 0.914 | 0.667 | 0.917 | 0.956 |
LumA vs LumB | 0.811 | 0.804 | 0.875 | 0.896 | 0.740 | 0.784 | 0.664 | 0.883 |