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Table 2 Performance evaluation metric results before balancing

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