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TEAM
Comparative Analysis of Classification Methods on a Heart Disease Dataset
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
Introduction
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 https://www.kaggle.com/datasets/mexwell/heart-disease-dataset)
Objectives
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](https://static.wixstatic.com/media/55f531_dfbe1128a98d42838587273574dc0cfd~mv2.png/v1/fill/w_35,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Screen%20Shot%202022-06-03%20at%2011_31_35%20AM.png)
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![](https://static.wixstatic.com/media/035244_9313afeda597446b8f8d9d173dddb7db~mv2.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/035244_9313afeda597446b8f8d9d173dddb7db~mv2.png)
![](https://static.wixstatic.com/media/035244_5b099a1dbd02423ab7bd90fc5c9df0dd~mv2.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/035244_5b099a1dbd02423ab7bd90fc5c9df0dd~mv2.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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