Thanks to answer Matthew. I hope that there is some function because to do
all that by hand with so many variables it can be horrible. In addition, how
it would make to see those that are not correlated and those that yes. Which
is the threshold to decide one or another thing?
_Fede_
Matthew Ba
Hi Fede,
You would have to eliminate the variables less correlated with the response
variable. And for the explanatory variables to choose those that are very
correlated to each other. I don't know if exists some function of R that
does this by you.
Mathew Barber
_Fede_ wrote:
>
> Hi folks,
Hi folks,
I want to apply a neural network to a data set to classify the observations
in the different classes from a concrete response variable. The idea is to
prove different models from network modifying the number of neurons of the
hidden layer to control overfitting. But, to select the best
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