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evaluating-machine-learning-models

20.7

| 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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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install jeremylongshore/claude-code-plugins-plus-skills/evaluating-machine-learning-models
skilz install jeremylongshore/claude-code-plugins-plus-skills/evaluating-machine-learning-models --agent opencode
skilz install jeremylongshore/claude-code-plugins-plus-skills/evaluating-machine-learning-models --agent codex
skilz install jeremylongshore/claude-code-plugins-plus-skills/evaluating-machine-learning-models --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
2. Copy the agent skill directory:
cp -r claude-code-plugins-plus-skills/backups/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

Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
learning model skill
Market Score
20.7

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