Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease

Table 4

Machine learning algorithms and classifiers.

Articles	Classifiers	Highest accuracy (%)
1	Decision tree	91
2	SVM	98.3
3	GB	99.80
4	MLP	99.5
5	Random forest	99.84
6	Random forest	99.16
7	Random forest	99.75
8	GNB	100
	Decision tree	100
9	Random forest	97.12
10	Random forest	98.93

Bold values represent the highest accuracy in the literature.