Machine Learning Anomaly Detection

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Multiple Choice

What is the primary goal of anomaly detection in machine learning?

  1. To identify patterns and relationships in data.
  2. To detect and flag unusual or unexpected data points.
  3. To predict future trends and outcomes.
  4. To optimize model performance and accuracy.
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