Which statement is true about neural network and linear regression models?

Question

TuteeHUB · Accepted Answer

NA

TuteeHUB · Answer

both techniques build models whose output is determined by a linear sum of weighted input attribute values

TuteeHUB · Answer

the output of both models is a categorical attribute value

TuteeHUB · Answer

both models require numeric attributes to range between 0 and 1

TuteeHUB · Answer

both models require input attributes to be numeric

1.	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
Answer» E.

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