Which statement is true about neural network and linear regression models?
A) Both models require input attributes to be numeric.
B) Both models require numeric attributes to range between 0 and 1.
C) The output of both models is a categorical attribute value.
D) Both techniques build models whose output is determined by a linear sum of weighted input attribute values.
E) More than one of a,b,c or d is true.

Question

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The Answer of Which statement is true about neural network and linear regression models?
A) Both models require input attributes to be numeric.
B) Both models require numeric attributes to range between 0 and 1.
C) The output of both models is a categorical attribute value.
D) Both techniques build models whose output is determined by a linear sum of weighted input attribute values.
E) More than one of a,b,c or d is true.

Which Statement Is True About Neural Network and Linear Regression