In fitting some data using radial basis functions with kernel width $σ$, we compute training error of $345$ and a testing error of $390$.
(a) increasing $σ$ will most likely reduce test set error
(b) decreasing $σ$ will most likely reduce test set error
(C) not enough information is provided to determine how $σ$ should be changed