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Work I did for a group project that built machine learning models for heart disease datasets.

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Predicting Heart Disease Using Tree-Based Machine Learning Models

This repository contains the work I did for a group project during my Master's degree. We compared various ensemble decision-tree-based methods to predict heart disease using R and Weka.

Data

The Data subdirectory contains the original data files, the cleaned data files, and the cleaned data files split into training and test sets. The cleaned datsets and training/test sets are available in *.csv format and the Weka format (*.arff). Since we compared models built in both R and Weka, we created the training/test sets so that the same data are used.

Citation

If you find this work useful, please cite our conference paper (a copy may be found in the PACISE subdirectory):

I. P. Steinke, C. Chesley, J. Jean, and R. Seetan, “Comparison of Ensemble Tree-Based Techniques for Predicting Heart Disease,” 36th Annual Spring Conference of the Pennsylvania Computer and Information Science Educators (PACISE), April 9–10, 2021, pp. 57–63.

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Work I did for a group project that built machine learning models for heart disease datasets.

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