Decision Tree Analysis
Use when building a decision tree model in R and generating feature importance ranking...
Install
npx skills add aipoch/medical-research-skills --skill decision-tree-analysis -g -a claude-code -y- Repository
- aipoch/medical-research-skills2k
- Category
- Engineering
- Updated
- 2mo ago
- License
- MIT
- Context cost
- Mediumabout 1,979 tokens
- Runs scripts
- No, instructions only
What it does
Use when building a decision tree model in R and generating feature importance ranking outputs. Supports classification and regression, automatic task detection, parameter validation, model evaluation summaries, and exports of feature-importance tables and figures.
Decision Tree Analysis
Use this skill to train a decision tree model from a tabular file and export feature importance ranking results.
Use This Skill When
- You need a decision tree workflow in R for either classification or regression.
- You need feature importance ranking as a table and a figure.
- You need a command-line workflow with parameter validation and standardized output folders.
Primary Command
Rscript scripts/main.R \
--data_file <input_file> \
--target_var <target_column> \
--task_type <auto|classification|regression> \
--output_dir <output_dir>
Prerequisites
Rscriptis available in the shell.- Required R packages:
optparse,data.table,rpart. - Install missing packages with
Rscript -e 'install.packages(c("optparse", "data.table", "rpart"), repos="https://cloud.r-project.org")'.
