Diabete Prediction

Decision tree results.

Our objectives are to evaluate the probability of a person having diabetes based on their living habits and predict the probability based on medical examination results. We pre-processed the data and designed various machine learning models, including decision trees, LDA, and QDA, to make these predictions. We then compared these models to determine the most suitable one.

Jiahe Huang
Jiahe Huang
Rising senior student, DS-Eng @ Umich, ECE @ SJTU

I am a rising senior student interested in computer vision and artificial intelligence for science.