Anomaly detection is an algorithm and technique used to identify anomalies or unusual patterns in a data set.
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Logistic regression is primarily used for binary classification tasks, predicting the probability of an outcome belonging to a particular class.
Anomaly detection methods are effective in identifying outliers, unusual patterns in data, which can be crucial for fraud detection.
Anomaly detection involves identifying unusual patterns or behaviors in network traffic that may indicate security threats.
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