• Akshaya Hotkar
• Pranjali Patil
• Manjushree Shinde
• Sonali Bhalerao
• Prof. S. A. Hadke

Diabetes mellitus is a group of metabolic disorder which has affected hundreds of millions of people. There have been plenty of researches about diabetes detection, which are mostly based on the Pima Indian diabetes data set. The identification of diabetes is of great significance, concerning its harsh complications. In this paper, we are dealing with most popular techniques Deep Neural Network, Support Vector Machine, used to identify diabetes. In this we are comparing the accuracy of each classifier over several ways of data preprocessors and therefore we modify the parameters to improve their accuracy. We also examine the significance between each feature with the classification result.

"A Broad Investigation for Diabetes Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.1-5, May-2019, Available :http://www.jetir.org/papers/JETIR1905D01.pdf

"A Broad Investigation for Diabetes Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp1-5, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D01.pdf