Data Science & Analytics
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.
- Publisher / source
- aipoch/medical-research-skills (found on GitHub top repositories)
- Upstream record
- aipoch/medical-research-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
82b2c924c184a88ab1c88d8e02eaad21f7fc3fef54053493c7598c0826930b4f