XGBoost-analysis
byaipoch· 77 skills
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.
How to install XGBoost-analysis?
aipoch/medical-research-skills/xgboost-analysis
$npx -y skills add aipoch/medical-research-skills --skill XGBoost-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aipoch/medical-research-skills" --skill "aipoch/medical-research-skills/xgboost-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aipoch/medical-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/aipoch/medical-research-skills"` and select the relevant skills, then follow their instructions.
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