This project develops a Random Forest model to predict heart disease using the UCI Heart Disease dataset. It evaluates patient attributes like age, cholesterol levels, and chest pain type to determine the likelihood of heart disease. The model aims to provide an accurate, data-driven approach for early detection and prevention of heart disease.
active 2024-09-24 → 2024-09-24 (UTC)
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Line chart, 1 days from 2024-09-24 to 2024-09-24. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| georgejr45 | 1 | 1 | 0 | 0 |
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