# Model Evaluation Metrics

> Model Evaluation Metrics - Auto-activating skill for ML Training. Triggers on: model evaluation metrics, model evaluation metrics Part of the ML Training skill category.

- Skill: `jeremylongshore/model-evaluation-metrics` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jeremylongshore/model-evaluation-metrics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jeremylongshore/model-evaluation-metrics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: jeremylongshore (https://skillmd.com/u/jeremylongshore)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/jeremylongshore/model-evaluation-metrics

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# Model Evaluation Metrics

## Purpose

This skill provides automated assistance for model evaluation metrics tasks within the ML Training domain.

## When to Use

This skill activates automatically when you:
- Mention "model evaluation metrics" in your request
- Ask about model evaluation metrics patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

## Capabilities

- Provides step-by-step guidance for model evaluation metrics
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards

## Example Triggers

- "Help me with model evaluation metrics"
- "Set up model evaluation metrics"
- "How do I implement model evaluation metrics?"

## Related Skills

Part of the **ML Training** skill category.
Tags: ml, training, pytorch, tensorflow, sklearn