Table 5 Performance metrics of ChoqFuzGCN, SVM (RBF kernel), RF, LR models on TCGA-BRCA dataset.
From: Breast cancer survival prognosis using the graph convolutional network with Choquet fuzzy integral
Metrices | Acc | Mcc | Pre | Sn | Sp | Bal_Acc | F1-Measure |
|---|---|---|---|---|---|---|---|
GCN-RF | 0.738 | 0.126 | 0.394 | 0.184 | 0.905 | 0.545 | 0.246 |
GCN-RBF | 0.607 | 0.159 | 0.311 | 0.555 | 0.619 | 0.586 | 0.399 |
GCN-LR | 0.613 | 0.152 | 0.308 | 0.544 | 0.633 | 0.589 | 0.393 |
GCN-Majority Voting | 0.640 | 0.190 | 0.320 | 0.540 | 0.651 | 0.596 | 0.402 |
ChoqFuzGCN | 0.715 | 0.230 | 0.396 | 0.440 | 0.798 | 0.619 | 0.415 |