Model Evaluation · Level 2 of 5
Confusion Matrix
A table counting predicted versus actual classes.
Its axes must be labeled to interpret each cell correctly.
Example
A two-class table separates correct decisions and both error types.
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Audio transcript
Confusion Matrix. A table counting predicted versus actual classes. Its axes must be labeled to interpret each cell correctly. For example: A two-class table separates correct decisions and both error types.
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This helps you ask what a reported score counts and which errors it can hide.
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