Question: Suppose that, you have a classification task, where you need to design a binary classifier. The samples in the training set have 10000 dimensional features

Suppose that, you have a classification task, where you need to

Suppose that, you have a classification task, where you need to design a binary classifier. The samples in the training set have 10000 dimensional features and the training set contains 500000 samples. You have two options, you can either use a k-NN classifier or an SVM classifier. For this classification task, which classifier would you prefer? Explain your choice

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