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