Setting:
200 input variables, 1 binary target variable.
Run a principle component analysis on the data
then
use the output of the principle component analysis (the generated factors)
as input into a neural network -but first having partitioned the pca data
into training and testing sets so that a
Setting:
200 input variables, 1 binary target variable.
Run a principle component analysis on the data
then
use the output of the principle component analysis (the generated factors)
as input into a neural network -but first having partitioned the pca data
into training and testing sets so that a
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