The false positive rate is the probability of incorrectly identifying a condition or event when it is not present, expressed as the proportion of false positives to the total number of actual negatives. This rate is critical in evaluating the performance of detection systems, especially in contexts where accurate identification of events, such as damage or anomalies, is essential for structural health monitoring. A high false positive rate can lead to unnecessary interventions and increased costs, making it vital to balance detection sensitivity and specificity.
congrats on reading the definition of False Positive Rate. now let's actually learn it.