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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?
A
Decision trees
B
Linear regression
C
Logistic regression
D
Neural networks
Explanation:
Option A is CORRECT because decision trees are a type of machine learning algorithm that provides a clear and interpretable model structure. They allow you to document and understand how decisions are made at each node, making it easy to trace how specific gene characteristics lead to particular classifications. This transparency in the inner mechanism of the model meets the company's need to understand how the model's decisions affect the output.