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Question 20 of 39
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- A False Positive (FP) occurs when the model predicts the positive class but the true label is negative — for example, flagging a legitimate email as spam. A True Positive (TP) is a correct positive prediction; a False Negative (FN) is missing a positive (e.g., letting spam through); a True Negative (TN) is a correct negative prediction.