majiayu000 Confusion Matrix Generator
Purpose
Use this skill when the user already has classification outputs and needs to understand where the model is getting confused.
When to Use
Use this skill when:
- Breaking down false positives and false negatives by class
- Comparing thresholds or class weights for a classification model
- Explaining which classes are systematically confused with one another
Not For / Boundaries
- Regression evaluation: use
evaluating-machine-learning-models - Leakage audits: use
ml-data-leakage-guard - End-to-end training runs: use
training-machine-learning-models
Typical Outputs
- Confusion matrix tables or heatmaps
- Per-class precision/recall breakdowns
- Actionable notes on thresholding, relabeling, or class balancing
Related Skills
evaluating-machine-learning-modelsfor the broader metric suitefeature-importance-analyzerwhen the next question is why a class fails