This Jupyter Notebook script analyzes UCI's Parkinson's disease dataset, featuring EDA, preprocessing, and model evaluation. It compares Logistic Regression, SVM, Random Forest, Gradient Boosting, XGBClassifier, and an Ensemble model using ROC-AUC scores and SMOTE for class imbalance.
active 2023-12-14 → 2023-12-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-12-14 to 2023-12-14. Pushes: 3 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 |
|---|---|---|---|---|
| MiriJ15 | 3 | 3 | 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.