Having built a decision tree, we are using reduced error pruning to reduce the size of the tree. We
select a node to collapse. For this particular node, on the left branch, there are 3 training data
points with the following outputs: 5, 7, 9.6 and for the right branch, there are four training data
points with the following outputs: 8.7.9.8, 10.5, 11. What were the original responses for data
points along the two branches (left and right respectively) and what is the new response after
collapsing the node?
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