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Classifying heart disease data

This repository analyses the UCI heart disease dataset. The dataset was downloaded from: https://archive.ics.uci.edu/ml/datasets/Heart+Disease and placed in the folder Data. A description of the different features can be found in DatamininFeatures.

The training of the models takes place in the notebook notebook.ipynb. The results of this notebook are stored in the outputs folder. The analysis of the results takes place in the analyse outputs.ipynb notebook. A more general analysis of the dataset can be found in analysis.ipynb. The images of this notebook are stored in the pictures folder, while the pandas profiling reports are stored at the root level of the repository. The last notebook viewer.ipynb can be used to view the status of the notebook.ipynb during cross validation.

The requirements for running the notebook are stored in two files, once in a requirements.txt for pip and once more in environment.yml for conda.

This repository also contains a proposal, a report and a presentation for the University of Mannheim.

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