These are the
‘cross-continent models’. The number of days when the
models correctly predicted the actual severity class was
used to measure classification success. Two types of error
were used to compare the performance of the models: type
I, where the model predicted a lower than actual severity
class on a given day; and type II, where the prediction was
higher than the actual severity class.