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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".

90

1.01x
Quality

44%

Does it follow best practices?

Impact

99%

1.01x

Average score across 9 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./backups/skills-migration-20251108-070147/plugins/ai-ml/model-evaluation-suite/skills/model-evaluation-suite/SKILL.md
SKILL.md
Quality
Evals
Security

No security issues found

Scanned

Repository
jeremylongshore/claude-code-plugins-plus-skills
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.