Table 4 Comparison of sensitivity, specificity, PPV, NPV, accuracy, and AUC machine learning models
From: Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls
Measure | Model (1) | Model (2) | Model (3) | Mode (4) | Model (5) |
|---|---|---|---|---|---|
Sensitivity | 100% | 100% | 85.7% | 100% | 88.8% |
Specificity | 70.8% | 65.2% | 86.3% | 68.4% | 61.1% |
PPV | 63.0% | 6.01% | 80.0% | 73.9% | 69.5% |
NPV | 100% | 100% | 90.4% | 100% | 84.6% |
Accuracy | 80.5% | 77.0% | 86.1% | 83.3% | 75.0% |
AUC | 0.95 | 0.93 | 0.86 | 0.89 | 0.91 |