Now that you have all the trained models in a list, use sapply or map to create a matrix of predictions for the test set. You should end up with a matrix with length(mnist_27$test$y) rows and...

Now that you have all the trained models in a list, use sapply or map to create a matrix of predictions for the test set. You should end up with a matrix with length(mnist_27$test$y) rows and length(models) columns.

Earlier we computed the accuracy of each method on the training set and noticed they varied. How many of the individual methods do better than the ensemble? Which methods are they?