# Cross Validation

> Implement cross-validation for robust model evaluation

- Skill: `lgrappag/cross-validation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/cross-validation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/cross-validation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/cross-validation

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# Cross Validation

Implement cross-validation for robust model evaluation

## Risk Level
**LOW**

## Core Rules
- Use stratified folds
- validate implementation
- test accuracy

## Response Pattern

### When Using This Skill
1. Configure cross-validation
2. evaluate models
3. analyze results
4. Ensure performance meets requirements

## Usage Contexts
- Model evaluation
- performance estimation

## What NOT to Do
- Data leakage
- poor fold strategy
- inaccurate estimation

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.