Q277
Which statement is true about neural network and linear regression models?
A.
both techniques build models whose output is determined by a linear sum of weighted input attribute values
B.
the output of both models is a categorical attribute value
C.
both models require numeric attributes to range between 0 and 1
D.
both models require input attributes to be numeric
AnswerAnswer: Option D
Solution
Answer: Option D
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