BMC Bioinformatics

Table 19 Model evaluation(10CV)

From: A diabetes prediction model based on Boruta feature selection and ensemble learning

	Accuracy	Recall	F1 Index	Kappa	Precision	MCC
XGBoost	0.794	0.696	0.642	0.335	0.726	0.386
REL	0.615	0.650	0.503	–	0.615	0.0
GD	0.801	0.700	0.654	0.346	0.747	0.386
ARS	0.615	0.650	0.503	–	0.613	0.0
LR	0.615	0.650	0.503	–	0.615	0.0
KNN	0.586	0.510	0.437	0.057	0.631	0.081
SVM	0.615	0.650	0.503	–	0.615	0.0
NB	0.615	0.650	0.503	–	0.615	0.0
DT	0.809	0.707	0.665	0.369	0.763	0.405
RF	0.615	0.650	0.503	–	0.615	–
My model	0.825	0.721	0.683	0.403	0.782	0.432

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ISSN: 1471-2105

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