Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods

Table 4

Model evaluation measures.

Classifier	Precision	Sensitivity	Specificity	F-measure	AUC
kNN	0.98	0.98	0.98	0.98	0.983
RF	0.96	0.95	0.95	0.95	0.955
XGBoost	0.95	0.95	0.96	0.95	0.951
Bagging	0.93	0.94	0.94	0.94	0.946
AdaBoost	0.94	0.94	0.95	0.94	0.944