Coronary Heart Disease Prediction

This project involves the use of various machine learning algorithms to predict coronary heart disease based on a given dataset. The models are trained, evaluated, and compared using accuracy metrics.

Table of Contents

1. Installation
2. Note

Installation

Ensure that you have R installed on your machine. Install the necessary packages using the following command:

install.packages(c('caret', 'xgboost', 'C50', 'gbm', 'ggplot2', 'reshape2', 'viridis'))

Note

1. Refer FINAL_DSCP.R for the code, other files include different implementations.
2. Shiny package deploys the model provisions a UI to get predictions for custom inputs.