ML Studio Experiment to predict the readmissions needed for diabetes patients
Uses the UCI Machine Learning repository dataset on Diabetes patients readmissions.
The aim of the project is to predict those patients who would be in need of a readmission within 30 days or not,
depending on the various health parameters which are available. Two supervised classification approaches are shown, with the two class boosted decision tree outperforming the two class neural network marginally.
