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cittadini
2013 Jul 24
1
Help to improve prediction from supervised mapping using kohonen package
...183.58853 138.02768 55.54114 327.4739
4 2.201276 18.240331 19.20386 10.74748 62.04492 494.4161
5 2.201276 18.215522 19.18009 10.72446 61.87448 494.7409
6 1.276476 9.337769 14.16061 19.06902 14.99612 363.0020
Complete data set is at the following link if you fancy it:
https://gist.github.com/ottadini/6068259
The first variable is the dependent. I wish to train a som using this
data, and then be able to predict MEAS_TC using a new set of data with
missing values of MEAS_TC. Below I'm simply splitting the somdata into
a training and a testing set for evaluation purposes.
# ===== #
library(k...