iamsorenl/feature_engineering_multiclass_classification_SVM_LR_DT
View on GitHub ↗Related repositories →This project explores feature engineering and multi-class classification for e-commerce product categorization. Using SVM, Logistic Regression, and Decision Tree models, it involves training/testing, comparing accuracy, F1 scores, and evaluating performance with OneVsRest and ROC/Precision-Recall curves.
active 2024-10-31 → 2024-11-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 8 days from 2024-10-31 to 2024-11-07. Pushes: 16 total, peak 6 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 |
|---|---|---|---|---|
| iamsorenl | 16 | 16 | 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.