In order for neural networks to predict the success of a project, Select one: A. Additional layers must be added to the network to analyze different project phases. B. It is necessary to use linear and logistic regression to evaluate the data. C. The factors that caused the success or failure of previous projects must be understood. D. They must overfit the historical data to provide accuracy for the analysis of new projects