GitHub repository: CS6930GroupWork/Readmittedrate
Primary language: Jupyter Notebook
Created: 2018-11-06T22:35:39Z
Description: Patients readmitted rate, which is a supervised learning classification problem. Using a combination of models (KNN, SVM, Decision Tree, Perceptron and Naïve Bayes algorithms to deal with the real-world datasets from UCI machine learning lab. After cleaning and hyper tuning, ensemble results and get the best accuracy.