AIF-C01 Question #87: Real Exam Question with Answer & Explanation

The correct answer is A: Decision trees. Decision trees are an interpretable machine learning algorithm that clearly documents the decision- making process by showing how each input feature affects the output. This transparency is particularly useful when explaining how the model arrives at a certain decision, making it

Submitted by omar99· Mar 30, 2026Modeling

Question

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output. Which ML algorithm meets these requirements?

Options

ADecision trees
BLinear regression
CLogistic regression
DNeural networks

Explanation

Decision trees are an interpretable machine learning algorithm that clearly documents the decision- making process by showing how each input feature affects the output. This transparency is particularly useful when explaining how the model arrives at a certain decision, making it suitable for classifying genes into categories.

Topics

#Decision Trees#Classification Algorithms#Model Interpretability

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