b) Implement a 2-fold CV procedure for each dataset characterized by

p

using the Bayesian\ solution. Compute the training error and testing error, in the form of root of mean\ squared error (RMSE or RMS error). If necessary, repeat the simulation and CV\ procedure 10 times, to obtain the average training error and testing error across the 10\ replicates to stabilize the results.

b) Implement a 2-fold CV procedure for each dataset characterized by p using the Bayesian solution. Compute the training error and testing error, in the form of root of mean squared error (RMSE or RMS error). If necessary, repeat the simulation and CV procedure 10 times, to obtain the average training error and testing error across the 10 replicates to stabilize the results