Q. Which statement is true about neural network and linear regression models? (Solved)
1. both techniques build models whose output is determined by a linear sum of weighted input attribute values
2. the output of both models is a categorical attribute value
3. both models require numeric attributes to range between 0 and 1
4. both models require input attributes to be numeric
- d. both models require input attributes to be numeric