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?
- A. Decision trees Correct
- B. Linear regression
- C. Logistic regression
- D. Neural networks
Explanation
Decision trees are suitable for classification tasks and provide a clear, interpretable model that shows how input features affect the output through a series of decisions. This transparency allows documentation of the inner mechanism of the model, meeting the company's requirements.
