evaluate-ml-pipeline
CommunityEvaluate ML models with best practices in cross-validation and report generation.
Authorvathymut
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps evaluate machine learning models using robust cross-validation techniques and detailed reporting, ensuring the model's performance is accurately assessed.
Core Features & Use Cases
- Cross-Validation: Implement various cross-validation strategies based on the data's structure.
- Report Generation: Automatically generate comprehensive reports on model performance.
- Use Case: When you have a trained machine learning model and you need to evaluate its performance before deployment, this skill guides you through the process.
Quick Start
Use the evaluate-ml-pipeline skill to evaluate the model's performance using a TimeSeriesSplit with a gap of 3.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: evaluate-ml-pipeline Download link: https://github.com/vathymut/copilot-skills/archive/main.zip#evaluate-ml-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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