lingliang-evaluation
CommunityEvaluate Lingliang grading against ground truth.
AuthorAKCqhzdy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Evaluates AI-generated Lingliang primary school math exam grades against ground-truth raw scores to measure accuracy and reliability using meaningful statistics.
Core Features & Use Cases
- Compute Spearman ρ, Pearson r, MAE, RMSE, and ±5-point accuracy for 20 students.
- Generate per-student reports and aggregate metrics, with data aligned to ground truth and grading outputs.
- Use case: compare AI grading with ground-truth to validate model performance and calibrate thresholds.
Quick Start
Run the Lingliang evaluation workflow to compare AI grading outputs against ground-truth scores and generate the evaluation report.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: lingliang-evaluation Download link: https://github.com/AKCqhzdy/dse-subject-grading/archive/main.zip#lingliang-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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