AutoML Comparison for Heart Disease Diagnosis

This repository includes code to evaluate the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction.

The code includes the usage of the AutoML tools (AutoGluon, PyCaret, and AutoKeras) for generating well-performing models on Heart Datasets.

The codebase also includes notebooks that apply traditional machine-learning steps to generate well-performing models manually.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
AutoGluon_Heart_Disease-Combined.ipynb		AutoGluon_Heart_Disease-Combined.ipynb
AutoKeras_Heart_Disease.ipynb		AutoKeras_Heart_Disease.ipynb
EDA-Heart-Disease-Datasets.ipynb		EDA-Heart-Disease-Datasets.ipynb
PyCaret_Heart_Disease-Cleveland-Hungarian_Cleveland.ipynb		PyCaret_Heart_Disease-Cleveland-Hungarian_Cleveland.ipynb
PyCaret_Heart_Disease-Cleveland.ipynb		PyCaret_Heart_Disease-Cleveland.ipynb
PyCaret_Heart_Disease-Combined.ipynb		PyCaret_Heart_Disease-Combined.ipynb
README.md		README.md
Traditional-CorrelatedCleveland-Heart_Disease_Classification.ipynb		Traditional-CorrelatedCleveland-Heart_Disease_Classification.ipynb
Traditional-UnreducedCleveland-Heart_Disease_Classification.ipynb		Traditional-UnreducedCleveland-Heart_Disease_Classification.ipynb

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