BMC Medical Informatics and Decision Making

Table 3 Performance evaluation metric results after oversampling

From: Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models

Model	Accuracy S.	ROC AUC S.	MCC	B. Acc	Cohen’s K.	Precision	Recall	F1 S.
Random F.	0.767	0.853	0.532	0.766	0.532	0.786	0.775	0.780
CatBoost	0.767	0.821	0.532	0.766	0.532	0.786	0.774	0.780
Gradient B.	0.737	0.787	0.470	0.733	0.469	0.737	0.789	0.762
XGBoost	0.722	0.803	0.439	0.718	0.438	0.724	0.775	0.748
AdaBoost	0.617	0.675	0.230	0.615	0.230	0.643	0.634	0.638

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