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decision-tree-analysis

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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.

When to use

• 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.

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