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?
Note: | The above multiple-choice question is for all general and Competitive Exams in India. |