top of page


Comparative Analysis of Classification Methods on a Heart Disease Dataset


This project proposes a comparative analysis of several popular classification methods using a unique dataset compiled from five distinct heart disease datasets: Cleveland, Hungarian, Switzerland, Long Beach VA, and Statlog (Heart) Data Set. (Dataset link

The primary objective of this project is to evaluate and compare the effectiveness of various classification techniques in predicting heart disease. The methods to be evaluated include:
1. Logistic Regression (potentially using Bayesian Lasso)
2. Random Forest
3. Decision Tree
4. K-Nearest Neighbors (KNN)
5. maybe more

Screen Shot 2022-06-03 at 11.31.35 AM.png
github URL
bottom of page