Hyperparameter-Optimization-of-Decision-Tree-using-HyperOpt rilufiyy · COMPLETED
Hyperparameter optimization on Decision Tree using HyperOpt (TPE and Random) compared with Grid Search. The project evaluates performance with recall metric, cross-validation, and classification analysis
github.com/rilufiyy/Hyperparameter-Optimization-of-Decision-Tree-using-HyperOpt · ★ 0 · Forks 0 · Size 15 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 3 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-08
Last commit 2025-09-08
Active months 1
Commits 2