Not exact matches
The Root MSE tells us that the models are on
average 3 to 5 percentage points out on the change in share of the council seats won, which is a big
average error for a
prediction model when there are thousands of seats up for election.
Polling
predictions were closer in the regional vote, with all three pollsters have an
average error below 2 % on the 4 main parties.
But a study by James Montier and Rui Antunes of Dresdner Kleinwort, an investment bank, found that the
average forecasting
error on such
predictions was 43 % over 12 months and 95 % over two years.
In effect, MAE quantifies the
average magnitude of the
errors in a set of
predictions without considering their sign.
The
average of the squared resulting
prediction errors will start to rise when too many PLS components are used.