False Positive Rate: Revision history

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    4 November 2024

    • curprev 13:5713:57, 4 November 2024‎ 핵톤 talk contribs‎ 2,077 bytes +2,077‎ Created page with "The '''False Positive Rate (FPR)''' is a metric used in binary classification to measure the proportion of actual negatives that are incorrectly identified as positives by the model. It is an important metric for understanding the model's tendency to produce false alarms. ==Definition== The False Positive Rate is calculated as: :'''FPR = False Positives / (False Positives + True Negatives)''' This metric represents the likelihood of a negative instance being misclassifie..." Tag: Visual edit
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