Question: Given that we can select the same feature multiple times during the recursive partitioning of the input space, is it always possible to achieve 1

Given that we can select the same feature multiple times during the recursive partitioning of the input space, is it always possible to achieve 100% accuracy on the training data (given that we allow for trees to grow to their maximum size) when building decision trees?

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