How can I improve anomaly detection in my system?

How can I improve anomaly detection in my system?

To improve anomaly detection, consider using advanced algorithms like Isolation Forest or Autoencoders.

What data preprocessing steps should I take before applying these algorithms?

Ensure to normalize your data, handle missing values, and possibly reduce dimensionality using PCA.

Are there any specific metrics I should use to evaluate the performance?

Yes, you can use metrics like precision, recall, F1-score, and the area under the ROC curve.

Can you recommend any tools or libraries for implementing these techniques?

Sure! Libraries like Scikit-learn, TensorFlow, and PyOD are great for implementing anomaly detection.