Table 4 Results of supervised machine learning methods, utilizing all features with cystatin S levels; second machine learning model
All features | Feed-forward neural network | XGBoost | Random forest | SVM |
|---|---|---|---|---|
Accuracy (%) | 90.9 | 89.2 | 85.7 | 85.4 |
Sensitivity (%) | 100 | 93.3 | 93.3 | 86.6 |
Specificity (%) | 72.1 | 84.6 | 76.9 | 84.6 |