Table 4 Comparison of the three machine learning classifiers in the independent testing set
From: IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Classifier | Accuracy | AUC | Precision | Recall | F1-score |
|---|---|---|---|---|---|
RF | 0.9148 | 0.9895 | 0.9008 | 0.9277 | 0.9052 |
SVM | 0.7298 | 0.7662 | 0.9504 | 0.5207 | 0.5545 |
AdaBoost | 0.771 | 0.8236 | 0.9136 | 0.6481 | 0.6571 |