When a model mistakenly predicts a negative class, when the value belongs to the positive class.
Example:
A model flags a credit card transaction as ‘not fraud’ when it is actually a fraudulent transaction.
When a model mistakenly predicts a negative class, when the value belongs to the positive class.
Example:
A model flags a credit card transaction as ‘not fraud’ when it is actually a fraudulent transaction.
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