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-models for the broader metric suite
• feature-importance-analyzer when the next question is why a class fails