From: Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models
Model | Accuracy | ROC AUC | MCC | B. Acc | Cohen’s K. | Precision | Recall | F1 Score |
---|---|---|---|---|---|---|---|---|
Random F. | 0.647 | 0.580 | 0.140 | 0.548 | 0.113 | 0.538 | 0.189 | 0.280 |
CatBoost | 0.637 | 0.592 | 0.132 | 0.552 | 0.118 | 0.500 | 0.243 | 0.327 |
Gradient B. | 0.627 | 0.567 | 0.100 | 0.539 | 0.088 | 0.471 | 0.216 | 0.296 |
AdaBoost | 0.618 | 0.598 | 0.090 | 0.537 | 0.082 | 0.450 | 0.243 | 0.316 |
XGBoost | 0.588 | 0.561 | 0.078 | 0.537 | 0.077 | 0.419 | 0.351 | 0.382 |