Discussion of article "Deep Neural Networks (Part II). Working out and selecting predictors"

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New article Deep Neural Networks (Part II). Working out and selecting predictors has been published:

The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model.

Now, we want to see the distribution of NA in variables after the outliers have been removed.

require(VIM)
evalq(a <- aggr(x.sin.out), env)

Fig.6. Distribution of NA in the data set

Author: Vladimir Perervenko