confusion matrix
🤖 CT-AI
Official ISTQB Definition
A table used to evaluate the performance of a classification model, showing true positives, true negatives, false positives, and false negatives.
3 Ways to Think About It
The Quick Take
A table showing where your AI classifier gets it right (true positives/negatives) and wrong (false positives/negatives).
Look Closer
The essential tool for understanding ML model performance beyond simple accuracy numbers.
The Bottom Line
A breakdown of predictions vs reality that reveals if your AI has problematic blind spots.
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