Comparison between Machine Learning Algorithms in the Predicting the Onset of Diabetes

Diabetes is a standout amongst the most common illnesses on the planet today with high mortality rate, thus one of the greatest medical issues on the planet. There are numerous approaches to analyze the disease; one of these approaches is machine learning algorithms. This study will tell us how these machine learning methods outperform each other and which one is better to do this type of diagnosis. There are 768 records in our dataset, out of which 500 are healthy patients and 268 are diabetic. We have divided the data set into training data and test data. Using Multilayer Perceptron Artificial Neural Networks, we were able to achieve the highest accuracy of 96%.