Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?

• A. increase the amount of traning data in each traning set
• B. improve the optimization algorithm being used for error minimization.
• C. decrease the model complexity
• D. reduce the noise in the training data