In this model, we integrated Logistics_Lasso, KNN, Random Forest, Xgboost and BP neural network five models, users can choose the model according to their own situation. We used the accuracy of the validation set to weighted average the different kinds of probabilities predicted by the model to get the final result. We hope this will help you.
active 2025-02-16 → 2025-02-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-02-16 to 2025-02-16. 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.
- 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 |
|---|---|---|---|---|
| CHENszu | 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 — 0 stars here means stars gained during the window, not the repo's star count.