I have a traditional prediction setting, with a training data set
train and a test data set
I do not know the outcome
y of the
I found that tsne separates my binary classification setting quite well.
However, tsne cannot really be used for prediction, as in
predict(tsne, newdata=test) which can be done for PCA.
What is the best approach here?
Should I combine my
test set (i.e.,
rbind) and run tsne on the whole data set?