On 24 July 2013 21:32, Ben Harrison <h...@student.unimelb.edu.au> wrote:
> On 24 July 2013 19:25, ONKELINX, Thierry <thierry.onkel...@inbo.be> wrote:
>> Try rescaling your data prior to splitting it up into a training and test 
>> set. Otherwise you end up with two different ways of scaling.

> I still cannot understand how I can sensibly revert the scaling of the values.

I understand more now about the scaling attributes. I think the
following fixes my earlier errors:

# Unscale the predictions:
descale <- attr(testing, 'scaled:scale')[["MEAS_TC"]]
decentre <- attr(testing, 'scaled:center')[["MEAS_TC"]]
predicted.tc <- lapply(tc.xyf.prediction$prediction, function(x) x *
descale + decentre)

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