When a model correctly predicts a negative class; when the value belongs to the negative class.
Example:
A model flags a credit card transaction as ‘not fraud," and it is indeed a fraudulent transaction.
When a model correctly predicts a negative class; when the value belongs to the negative class.
Example:
A model flags a credit card transaction as ‘not fraud," and it is indeed a fraudulent transaction.
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