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Compared with conventional econometric modeling, what kinds of problems would machine learning likely be more suitable:
A
Under Machine learning approaches, there is an emphasis on establishing causality.
B
Machine learning might be preferable when the relationships between features (and targets) are linear.
C
Machine-learning techniques have advantages when applied to problems where there is little theory regarding the nature of a relationship or which features are relevant.
D
Machine-learning is used when the number of data points and the number of features are small.