In R, using the MNIST dataset (which can be accessed in R with read_mnist()), implement a decision tree classifier on the MNIST training images and labels (N = 60000) and validate it in order to tune your model using the MNIST testing images and labels (N=10000).

Print the Confusion Matrix of your predicted vs true labels and print the accuracy of predicting your label, as a percentage.

Answer rating: 100% (QA)

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