evaluating-machine-learning-models
This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
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Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-nixtla/evaluating-machine-learning-modelsskilz install jeremylongshore/claude-code-plugins-nixtla/evaluating-machine-learning-models --agent opencodeskilz install jeremylongshore/claude-code-plugins-nixtla/evaluating-machine-learning-models --agent codexskilz install jeremylongshore/claude-code-plugins-nixtla/evaluating-machine-learning-models --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtlacp -r claude-code-plugins-nixtla/archive/backups-20251108/skills-migration-20251108-070147/plugins/ai-ml/model-evaluation-suite/skills/model-evaluation-suite ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-nixtla
- Stars
- 2
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 17
Browse Category
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