Preprint / Version 1

Machine Learning Applied to Diabetes


  • Shreya Dhingra South Brunswick High School


Machine Learning, Supervised Learning


In this research paper, I applied machine learning to diabetes. Using data from Kaggle, I used python to create a model out of the data. This model takes in independent variables such as BMI that may lead to diabates, and outputs whether the person has diabetes or not. The error on this model was pretty high which means the model is pretty useful in predicting whether one will have diabetes.

References or Bibliography

Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada,

Jerome Friedman, Trevor Hastie, Robert Tibshirani, et al. The elements of statistical learning,

volume 1. Springer series in statistics New York, 2001.

Tom M Mitchell et al. Machine learning. 1997.

Toby Segaran. Programming collective intelligence: building smart web 2.0 applications. ”

O’Reilly Media, Inc.”, 2007.

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