(16)
Answer (Choose 1 answer)
All of these are characteristics of SVMS, EXCEPT:
A. Support Vector Machines do not return predicted probabilities.
B. Support Vector Machines use decision boundaries for classification.
C. The algorithm behind Support Vector Machines calculates hyperplanes that minimize mis error.
D. Support Vector Machine models are non-linear.
