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. What are the dimensions of the matrix of predictions

9.4.34  question   to estimate the height of a stone  figure, an observer holds a small square up to her eyes and walks backward from the figure. she stops when the bottom of the figure aligns with the bottom edge of the  square, and when the top of the figure aligns with the top edge of the square. her eye level is 1.811.81 m from the ground. she is 3.703.70 m from the figure. what is the height of the figure to the nearest hundredth of a  meter?