Assume I have the below dataset, features M and N are numerical, label is binary.

M N Label
2 3 y
6 1 y
1 12 y
3 9 y
11 15 n
7 13 n
4 8 n
9 10 n

My decision tree with binary split only has 1 root node and 2 leaf nodes (no internal node)

I can use M or N to make a split.

What is the size(cardinality) of Hypothesis Space |H| ? Could you explain detail ?



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