Efficient Access Control Permission Decision Engine Based on Machine Learning

Table 3

Performance comparison of different methods.

Methods	Lightgbm	LR	RF	KNN	SVM	DT
Accuracy	0.863	0.897	0.926	0.902	0.899	0.917
Precision	0.858	0.892	0.934	0.928	0.892	0.933
Recall	0.871	0.905	0.916	0.872	0.909	0.899
F-measure	0.864	0.898	0.925	0.899	0.911	0.916

The bold values are the experimental result of our method.