Table 7.
TNBC classification from the other molecular subtypes in the TCGA dataset, using 1046 features and 100 signature
| TNBC-100 | TNBC-1046 | Other-100 | Other-1046 | Global-100 | Global-1046 | |
|---|---|---|---|---|---|---|
| #Samples | 135 | 135 | 629 | 629 | 764 | 764 |
| Gradient Boosting | 0.9111 | 0.8963 | 0.9857 | 0.9857 | 0.9725 | 0.9699 |
| Random Forest | 0.8889 | 0.8815 | 0.9905 | 0.9905 | 0.9725 | 0.9712 |
| Logistic Regression | 0.8963 | 0.9630 | 0.9793 | 0.9587 | 0.9647 | 0.9593 |
| Passive Aggressive | 0.8815 | 0.9630 | 0.9714 | 0.9523 | 0.9556 | 0.9540 |
| SGD | 0.8000 | 0.8222 | 0.9809 | 0.9841 | 0.9490 | 0.9555 |
| SVC | 0.8444 | 0.8963 | 0.9666 | 0.9825 | 0.9451 | 0.9673 |
| Ridge | 0.8000 | 0.7259 | 0.9825 | 0.9237 | 0.9503 | 0.8888 |
| Bagging | 0.8444 | 0.8963 | 0.9793 | 0.9825 | 0.9555 | 0.9673 |
| Average | 0.8583 | 0.8806 | 0.9795 | 0.9700 | 0.9582 | 0.9542 |