• System for predicting the risk of having diabetes based on diagnostic data using machine learning.
This classifier model was constructed through a supervised learning problem using logistic regression and support vector machines as machine learning algorithms. We used a dataset which consists several features which have medical data of a particular group. We had to make some changes the dataset in order to replace some value which seemed not practical in the real world, by more acceptable values. Accuracy of minimizing the bad impact of wrong results. We were more attentive about having low false negatives than low false positives.