The percentage
of type I, II or total error was not generally influenced
by the number of observations (days) in the training or
test data sets in either continent-wise or cross-continent
ANN models. The overall prediction error was between
14 and 45% for the cross-continent models developed
with 110–139 observations (days) in the training data sets;
this was between 4 and 37% for continent-wise models
with either 73 or 77 observations in the training data set.