Comparative Study of Classification Techniques ( SVM , Logistic Regression and Neural Networks ) to Predict the Prevalence of Heart Disease

@inproceedings{Khanna2015ComparativeSO,
  title={Comparative Study of Classification Techniques ( SVM , Logistic Regression and Neural Networks ) to Predict the Prevalence of Heart Disease},
  author={Divya Khanna and Rohan Sahu and Veeky Baths and Bharat Deshpande},
  year={2015}
}
This paper does a comparative study of commonly used machine learning algorithms in predicting the prevalence of heart diseases. It uses the publicly available Cleveland Dataset and models the classification techniques on it. It brings up the differences between different models and evaluates their accuracies in predicting a heart disease. We have shown that lesser complex models such as logistic regression and support vector machines with linear kernel give more accurate results than their… 

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