From: Network-based logistic regression integration method for biomarker identification
 | Variable selection | ||
---|---|---|---|
Method | Precision | Recall | F1 Score |
LASSO | 0.91(0.04) | 0.28(0.06) | 0.60(0.07) |
Enet | 0.91(0.04) | 0.35(0.07) | 0.62(0.06) |
Network | 0.85(0.03) | 0.74(0.12) | 0.84(0.05) |
Abs-Network | 0.83(0.03) | 0.77(0.13) | 0.84(0.03) |
Merge-LASSO | 0.95(0.01) | 0.42(0.08) | 0.60(0.06) |
Merge-Enet | 0.95(0.01) | 0.50(0.07) | 0.61(0.05) |
Merge-Network | 0.98(0.01) | 0.74(0.08) | 0.84(0.03) |
Merge-Abs-Network | 0.98(0.01) | 0.77(0.08) | 0.84(0.03) |
Int-LASSO | 0.95(0.01) | 0.43(0.09) | 0.85(0.02) |
Int-Enet | 0.96(0.01) | 0.64(0.07) | 0.86(0.03) |
Int-Network | 0.93(0.03) | 0.83(0.07) | 0.87(0.03) |
Int-Abs-Network | 0.92(0.04) | 0.84(0.09) | 0.88(0.03) |
MetaLasso | 0.94(0.01) | 0.04(0.02) | 0.81(0.04) |