Diabetes Prediction Using Ensemble Classifier

Diabetes is one of the impactful diseases that affect humans’ health rigorously. Early diagnosis of diabetes will assist health caresystems to decide and act according to counter measures. This paper focuses on obtaining an automated tool that will predictdiabetic tendency of a patient. The system proposed by this paper contains two ensemble classifiers- Voting ensemble classifierand Stacking Ensemble classifier. Both of these methods exhibits better results while compared to other classifiers. Stackingensemble classifier even performs better than voting ensemble classifier with an accuracy of 79.87%.