model-evaluation-framework
CommunityQuantify model performance with robust metrics.
Data & Analytics#cross-validation#model-evaluation#confusion-matrix#dialect-classification#classification-metrics#macro-f1
Authorilyasibrahim
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a comprehensive framework to measure and compare machine learning models for Somali dialect classification, standardizing evaluation metrics, testing protocols, and reporting.
Core Features & Use Cases
- Standardized metrics: accuracy, macro F1, weighted F1, and per-dialect precision/recall/F1 with confusion matrix support.
- Evaluation protocol: standard evaluation workflow and cross-validation to ensure reproducibility.
- Baseline comparison and error analysis: render baselines and analyze misclassifications; produce structured evaluation reports.
Quick Start
Run a full evaluation on your dialect classifier to generate metrics, reports, and visualizations.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: model-evaluation-framework Download link: https://github.com/ilyasibrahim/claude-agents-coordination/archive/main.zip#model-evaluation-framework Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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