random-forest-classifier
MITA random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.
68
Security score
0 known advisories in v0.6.0
OpenSSF Scorecard 2.7/10
Weekly downloads
14
Unpacked size
—
Dependencies
2
Last publish
12 years ago
Security advisories
No known vulnerabilities affect v0.6.0.
Downloads — last 30 days
906 total▼ 94.1% vs prior week
Jul 3Aug 1
OpenSSF ScorecardJul 20, 2026
- Code-Review2
- Maintained0
- Binary-Artifacts10
- CII-Best-Practices0
- Security-Policy0
- License10
- Fuzzing0
- SAST0