diabestes-prediction

It is a ML based project that used KNN algorithm to forecast the presence of diabetes. The algorithm used was K-Nearest Neighbor Classifier that calculated the outcome using the two formulas- the Euclidean and Manhattan formulas.

The algorithm was written in Java language and the accuracy was found to be nearly 90%. The dataset used was of 950 people.