Question: Considering the example in Table 5, what is the maximal number of leaf (decision) nodes that we can have in a decision tree for this

Considering the example in Table 5, what is the maximal number ofConsidering the example in Table 5, what is the maximal number of leaf (decision) nodes that we can have in a decision tree for this data? What is the maximal possible depth of a decision tree for this data? Draw the tree, explain which attribute should be the root node and why?

Table 5 Training Set Example Instance Classification 1 2 3 4 5 6 C1 C1 C2 C1 C2 C2 Attribute 1 Y Y Y N N N Attribute 2 Y Y N N Y Y

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