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Detection rate (DR), in the field of computer science, refers to the percentage of anomalies detected out of the total number of anomalies present in the data. It is also known as precision rate and is particularly effective for localizing video anomalies. AI generated definition based on: Image and Vision Computing, 2021. About this page.
Detection rate is a measure that indicates the proportion of actual fraudulent activities that are correctly identified by a fraud detection system. A higher detection rate signifies that the system is effective in recognizing and flagging fraudulent behavior, which is crucial for minimizing losses and maintaining trust in financial systems.
Sensitivity (true positive rate) is the probability of a positive test result, conditioned on the individual truly being positive. Specificity (true negative rate) is the probability of a negative test result, conditioned on the individual truly being negative.
Detection rate is the measure of how effectively a system can identify the presence of a specific anomaly or event within a dataset.
1 gru 2017 · It is a parameter that will vary according to the dataset. If you get a high overall performance on a moderate detection rate, it would make me wonder how the performance would vary on a smaller dataset with more positives.
In cybersecurity and antivirus terminology, detection rate refers to the ability of security software to successfully identify and mitigate threats. The aim is to obtain the highest detection rate possible, which implies that a larger proportion of potential cyber threats can be eliminated.
Definition. Detection rate is a metric used to evaluate the effectiveness of a system in identifying fraudulent activities. It is typically calculated as the proportion of actual fraud cases that are correctly identified by the detection system.
