Table 3 Comparison of the three machine learning classifiers in the UCI dataset
From: IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Classifier | Accuracy | AUC | Precision | Recall | F1-score |
|---|---|---|---|---|---|
RF | 0.9944 | 0.9986 | 0.9946 | 0.9954 | 0.9944 |
SVM | 0.8546 | 0.9241 | 0.9821 | 0.7248 | 0.7684 |
AdaBoost | 0.903 | 0.9514 | 0.9759 | 0.8319 | 0.8515 |