Suppose your regression is y = W*x + b
with x
the scaled data, with the original data it is
y = W/std * x0 + b - u/std * W
where u
and std
are mean value and standard deviation of x0
. Yet I don't think you need to transform back the data. Just use the same u
and std
to scale the new test data.