[D] Cross Validation and t-SNE: How to combine all models for visualization? • r/MachineLearning

I have a classifier that was trained with 10-fold cross validation. I have been averaging the predictions for the 10 models to calculate things like test-set accuracy. I wanted to visualize the feature vector of my classifier using t-SNE. What is the best way to combine all 10 models? I tried concatting all of my normalized feature vectors together across all 10 models, but t-SNE can just pick out all 10 of them and separate them that way.