This program employs machine learning to classify diabetes status based on features like glucose levels, insulin, BMI, and age from a dataset. It includes data preprocessing, model training using K-Nearest Neighbors, visualization of decision boundaries, user input validation, and evaluation metrics like accuracy, precision, recall, and F1 Score.
active 2024-06-16 → 2024-06-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2024-06-16 to 2024-06-18. Pushes: 4 total, peak 3 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.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| KenAlupit | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.