A confusion matrix is a small table that shows exactly what kinds of mistakes a model made — not just how many.
Imagine it like this: Instead of just knowing "I got 8/10" on identifying cats vs. dogs, wouldn't you want to know: did I mostly call dogs "cats," or cats "dogs"? A confusion matrix shows that breakdown.
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