A Comparative Study of Machine Learning Techniques for Diabetes Prediction

Diabetes is one of the crucial health concerns present in the world. In this paper several papers have been reviewed for the diabetes detection and comparative analysis of different machine learning algorithms have been studied by applying these techniques on Pima Indian Diabetes data set. It is found that among all the techniques applied on the Pima Indian dataset Random forest has achieved the highest accuracy.