Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:
A.
Features are interpretable in traditional machine learning, but weak in deep learning
B.
Features are weak in traditional machine learning, but strong in deep learning
C.
Features are weak in interpretability in traditional machine learning and deep learning
D.
Features are interpretable in traditional machine learning and deep learning
Chosen Answer:
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