Implements stress prediction using Heart Rate Variability (HRV) with various machine learning algorithms, including Logistic Regression, Decision Tree, Random Forest, KNN, K-Means, GMM, and BIRCH. The project preprocesses HRV data, trains and evaluates models, and compares their performance.
active 2024-10-21 → 2025-02-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 122 days from 2024-10-21 to 2025-02-19. 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: 1 total, peak 1 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 |
|---|---|---|---|---|
| kannangaranv | 1 | 1 | 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 — 1 stars here means stars gained during the window, not the repo's star count.