A cybersecurity analyst wants to choose a machine learning (ML) model to classify log entries while providing the best explainability. Which of the following models should the analyst use?

The correct answer is C. Decision trees. Decision trees provide clear and interpretable decision paths, making them highly explainable compared to complex models like neural networks or GANs. This makes them the best choice for classifying log entries when explainability is a priority.

Security Architecture and Tool Sets

Question

Options

ALarge language model (LLM)
BNeural networks
CDecision trees
DGenerative adversarial network (GAN)

How the community answered

(34 responses)

A
3% (1)
C
94% (32)
D
3% (1)

Explanation

Decision trees provide clear and interpretable decision paths, making them highly explainable compared to complex models like neural networks or GANs. This makes them the best choice for classifying log entries when explainability is a priority.

Topics

#machine learning#explainability#decision trees#log classification

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