Voting Classification-Based Diabetes Mellitus Prediction Using Hypertuned Machine-Learning Techniques

Table 1

Comparative analysis of previous research based on performance parameters.

Ref. Paper	Techniques	Datasets	Outcome	Accuracy
[39]	SVM,; KNN	PIMA	Prediction of diabetes mellitus	78%, 79%
[37]	SVM,; KNN,; RF	PIMA	Prediction of diabetes mellitus	76%, 75%, 76%
[23]	ANN,; RF,; DT	Type-2 diabetes datasets	Prediction of diabetes mellitus and type 2	80%, 77%, 76%
[29]	SVM	PIMA	Prediction of diabetes mellitus	80%
[21]	SVM,; KNN,; RF,; NB,; DT,; ANN	Type-2 diabetes datasets	Prediction of diabetes mellitus and type 2	78%, 78%, 78%, 79%, 79%, 78%
[27]	SVM,; KNN,; RF,; NB,; DT	Type-2 diabetes datasets	Prediction of diabetes mellitus and type 2	76%, 75%, 75%, 75%, 75%