https://github.com/0zean/hellingerforest
A Python library built in Rust for implementing the Hellinger distance splitting criteria in a Random Forest Classifier to address imbalanced data. Work in progress.
https://github.com/0zean/hellingerforest
decision-trees imbalanced-classification imbalanced-data random-forest-classifier
Last synced: 24 days ago
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A Python library built in Rust for implementing the Hellinger distance splitting criteria in a Random Forest Classifier to address imbalanced data. Work in progress.
- Host: GitHub
- URL: https://github.com/0zean/hellingerforest
- Owner: 0zean
- Created: 2024-09-05T05:57:46.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-14T02:53:11.000Z (almost 2 years ago)
- Last Synced: 2025-03-02T00:32:09.117Z (over 1 year ago)
- Topics: decision-trees, imbalanced-classification, imbalanced-data, random-forest-classifier
- Language: Rust
- Homepage:
- Size: 11.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Random Forest with Hellinger Distance Splitting Criteria
A Python library built in Rust for implementing the Hellinger distance splitting criteria in a Random Forest Classifier to address imbalanced data. **Work in progress**
## TODO:
- [ ] Implement testing to ensure accuracy
- [ ] Clean up code