Table 2 Performance of six supervised methods in the condition that all clusters have the same size
From: A benchmark study of deep learning-based multi-omics data fusion methods for cancer
Methods | 5 clusters of the same size | 10 clusters of the same size | 15 clusters of the same size | ||||||
|---|---|---|---|---|---|---|---|---|---|
Accuracy | F1 macro | F1 weighted | Accuracy | F1 macro | F1 weighted | Accuracy | F1 macro | F1 weighted | |
lfNN | 1.0 | 1.0 | 1.0 | 0.900 | 0.860 | 0.875 | 0.860 | 0.792 | 0.818 |
efNN | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
lfCNN | 1.0 | 1.0 | 1.0 | 0.760 | 0.707 | 0.696 | 0.880 | 0.751 | 0.835 |
efCNN | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.920 | 0.911 | 0.893 |
moGCN | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
moGAT | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |