A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods

Table 4

Comparison of accuracy after proposed system.

S. no.	Classification algorithm	Before	Proposed method	After proposed method
1	K-nearest neighbour		70.1	78.58
2	Random forest		75.9	79.83
3	Decision trees		73.8	76.07
4	Multilayer perceptron		75.1	77.60

Bold means the improved accuracy after the proposed method.