Efi's Demo Lab
Interactive explainer

Evaluating a health classifier

A historical classification exercise using heart-disease dataset features and multiple machine-learning algorithms.

Try the method

Interactive explainer

How it works.

Inspect the dataset

Review the notebook's selected clinical features and recorded target labels.

From the original project.

Saved artifacts · click to inspect

Saved notebook output · heartdiseases.ipynb
Original artifact ↗
Saved notebook output · heartdiseases.ipynb
Original artifact ↗
Saved notebook output · heartdiseases.ipynb
Original artifact ↗

Continue in the source.

Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.

git clone https://github.com/eforus-overseer/Heart_Diseases.git
Read the setup and requirements ↗

Project artifacts.

Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.