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Q.) 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
Correct answer - Option (D) -
both models require input attributes to be numeric

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