Table 2 Performance measures for selected plasma models predicting cancer status
From: Cheminformatics approach to exploring and modeling trait-associated metabolite profiles
| Â | ADC 1 (training) LOOCV | ADC2 (test) external validation | ||||||
|---|---|---|---|---|---|---|---|---|
Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC | Accuracy (%) | Sensitivity (%) | Specificity (%) | AUC | |
Single metabolite classifiers | ||||||||
 3-phosphoglycerate | 70.7 | 60.8 | 87.1 | 0.734 | 51.2 | 34.9 | 67.4 | 0.578 |
 Maltose | 74.4* | 82.4 | 61.3 | 0.701 | 57.0* | 62.8 | 51.2 | 0.607 |
 Pyrophosphate | 69.5 | 66.7 | 74.2 | 0.703 | 76.7 | 67.4 | 86.0 | 0.811 |
Multi-metabolite classifiers—clustered metabolites | ||||||||
 Cluster 1a SVMb | 80.5* | 86.3 | 71.0 | 0.713 | 70.9* | 72.1 | 69.8 | 0.675 |