The main output from JETNET 3.0 is the training error. In contrast to
previous versions, the error used in JETNET 3.0 is scaled with the
size of the training data set according to eq. (
). Furthermore,
while older versions always produced a summed square error, JETNET 3.0
gives the appropriate error (according to the value of MSTJN(4)),
which is useful if one wants to use the pruning option.