Multiple Choice
Which is NOT a negative aspect of SVM methods?
A) SVM has "black box" aspects which make it less transparent than OLS regression
B) Trial and error methods may be needed to optimize the model
C) In spite of cross-validation it is still possible to overfit SVM models to noise in the data
D) All of the above.
Correct Answer:
Verified
Correct Answer:
Verified
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