Table 2 Performance assessment of the ensemble model for GSOM-based PUL approach for DDI prediction using Similarity Feature Representation1 (SFR1) and Similarity Feature Representation2 (SFR2)
From: Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes
| SFR1 | SFR2 | Ensemble model | ||
|---|---|---|---|---|
| Cross validation (80%) | Precision | 0.960 | 0.968 | |
| Recall | 0.841 | 0.972 | ||
| F-measure | 0.896 | 0.970 | ||
| Testing (20%) | Precision | 0.749 | 0.973 | 0.970 |
| Recall | 0.648 | 0.979 | 0.975 | |
| F-measure | 0.692 | 0.976 | 0.973 |