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