domains / families / data / lightgbm-analysis

lightgbm-analysis

separate

Use when training a LightGBM model on tabular data in R and returning model metrics, feature importance ranking tables, and feature importance plots.

When to use

• You need a command-line LightGBM workflow written in R.
• You need classification or regression on structured tabular data.
• You need ranked feature importance outputs for reporting or interpretation.
• You need standardized outputs under `table/`, `figure/`, and `data/`.

When not to use

• The input file is an unstructured note, JSON blob, or free-text report.
• The text file delimiter is unknown and you cannot inspect or re-export it.
• The table still contains sample IDs, patient IDs, accession numbers, or similar identifiers that should not be model features.
• The input still contains direct identifiers or sensitive fields that you have not reviewed and removed from modeling.

Skill page

Source