Individual skill
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.
awesome-med-research-skills/Data Analysis/XGBoost-analysis/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- data Derived category
- testing Derived category
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SKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 bytesSKILL.mdcore · 7,446 byteseval_report_xgboost-analysis_result.jsonasset · 15,169 bytesreferences/algorithm.mddoc · 3,508 bytesreferences/cli-guide.mddoc · 3,942 bytesreferences/troubleshooting.mddoc · 4,267 bytesscripts/functions.Rasset · 11,580 bytesscripts/main.Rruns · 5,524 bytesscripts/run_analysis.Rasset · 3,972 bytesscripts/utils.Rasset · 7,157 bytestests/data/dt_sample1.csvasset · 13,703 bytestests/data/dt_sample2.csvasset · 4,720 bytestests/data/dt_sample3.txtdoc · 72,498 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# XGBoost Modeling And Feature Importance Ranking
Use this skill to train an XGBoost model from a tabular dataset and export both feature importance ranking tables and feature importance plots.
## Use This Skill When
- You need a command-line XGBoost workflow in R for tabular data.
- You need a reproducible train-test split, model training, and evaluation.
- You need feature importance ranking outputs as both a table and a figure.
- You need automatic one-hot encoding for categorical predictors.
- Your data may contain a first unnamed sample ID column such as `V1` that should not enter the model.
## Do Not Use This Skill When