bad-case-analyzer
CommunityAnalyze mispredictions with interactive reports.
Data & Analytics#error analysis#NLP#model evaluation#analyze#FP/FN#confusion matrix#interactive report
AuthorDifficult-Burger
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps data science teams quickly identify and categorize mispredictions (FP/FN) in NLP classification tasks, producing actionable, human-readable HTML reports.
Core Features & Use Cases
- Metrics: overall accuracy, per-class precision/recall/F1, and confusion matrix
- Error detection: identify FP/FN and top confusion pairs
- Interactive HTML reports with filtering by error type, true/predicted label, and confidence
- Use Case: after evaluating a classifier, generate a report to guide data collection and model improvement
Quick Start
Install the skill, run analysis on a predictions.jsonl file, and open the generated HTML report.
Dependency Matrix
Required Modules
None requiredComponents
referencesassets
💻 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: bad-case-analyzer Download link: https://github.com/Difficult-Burger/skills-diy/archive/main.zip#bad-case-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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