Hospital Admission Machine Learning
This is the top level directory for the application. Each sub-directory contains a README with the respective information for that directory.
The original data provided by the hospital. The data is not saved to the repository!
Generates multi-dimensional linear data with an optional amount of normally distributed noise.
Experimentation with alternative algorithms, such as Support Vector Machines (SVM).
Python application that reads in the original hospital data and extracts the feature sets.
Contains the production C++ code for the final implementation of the RKGERS algorithm.
Experiment different approaches to the RKGERS algorithm.
Results from various algorithms applied to different data sets.
Blank directory used for temporary files. No data is contained in this folder.