Model Evaluation · Level 2 of 5
True Negative
A negative prediction whose actual label is negative.
It counts correctly rejected positive-class claims.
Example
A normal transaction is correctly classified as nonfraudulent.
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True Negative. A negative prediction whose actual label is negative. It counts correctly rejected positive-class claims. For example: A normal transaction is correctly classified as nonfraudulent.
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This helps you ask what a reported score counts and which errors it can hide.
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