# Ml Evaluation > Machine learning evaluation metrics including cross-validation, ROC/AUC, precision/recall, and confusion matrix Use when this capability is needed. - Skill: `tomevault-io/ml-evaluation` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/ml-evaluation` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/ml-evaluation/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/ml-evaluation --- # ML Evaluation > TODO: Implement full protocol ## When to Use When evaluating machine learning models or classifiers. ## References - Hastie et al. Elements of Statistical Learning --- > Source: [sencersoylu/scholar-flow](https://github.com/sencersoylu/scholar-flow) — distributed by [TomeVault](https://tomevault.io).