ml-model-evaluation
byleonardodalinky· 32 skills
Model evaluation framework — cross-validation strategies, metric selection by task type, baseline requirements, ablation design, and train/val/test discipline. Use for all ML experiments before reporting results.
How to install ml-model-evaluation?
leonardodalinky/scider/ml-model-evaluation
$npx -y skills add leonardodalinky/scider --skill ml-model-evaluationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/leonardodalinky/scider" --skill "leonardodalinky/scider/ml-model-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/leonardodalinky/scider" that are relevant to the current task. Run `npx skills add "https://github.com/leonardodalinky/scider"` and select the relevant skills, then follow their instructions.
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