From: Network-based logistic regression integration method for biomarker identification
 | Variable selection | ||
---|---|---|---|
Method | Precision | Recall | F1 Score |
LASSO | 0.93(0.02) | 0.26(0.06) | 0.60(0.06) |
Enet | 0.90(0.04) | 0.41(0.06) | 0.61(0.06) |
Network | 0.85(0.02) | 0.91(0.05) | 0.80(0.06) |
Abs-Network | 0.82(0.02) | 0.95(0.05) | 0.81(0.06) |
Merge-LASSO | 0.94(0.02) | 0.49(0.05) | 0.62(0.05) |
Merge-Enet | 0.94(0.02) | 0.56(0.04) | 0.61(0.07) |
Merge-Network | 0.99(0.01) | 0.94(0.03) | 0.87(0.03) |
Merge-Abs-Network | 0.99(0.01) | 0.98(0.02) | 0.88(0.03) |
Int-LASSO | 0.95(0.01) | 0.49(0.05) | 0.88(0.02) |
Int-Enet | 0.96(0.01) | 0.65(0.04) | 0.88(0.02) |
Int-Network | 0.94(0.04) | 0.96(0.03) | 0.89(0.01) |
Int-Abs-Network | 0.91(0.05) | 0.98(0.02) | 0.90(0.01) |
MetaLasso | 0.94(0.01) | 0.05(0.02) | 0.75(0.04) |