xgboost-analysis
Use when building XGBoost models on tabular data and returning feature importance ranking outputs. Supports binary classification and regression with automatic task detection, train-test split, performance tables, feature importance ranking tables, and PNG importance plots.
71
Quality
87%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Securityby
Passed
No findings from the security scan
No security issues found
Scanned
- Repository
- aipoch/medical-research-skills
- Commit
f5ef65b
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.