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Below is a classification matrix for 3 categories Low, Medium and High: Predicted Class Low
Medium High
Actual Class
Low 12 9 4
Medium 9 12 4
High 6 0 2
Suppose our original categorization changes such that everything categorized as Medium is also now categorized as High (i.e. Medium and High are just one group called High).
Calculate the new misclassification error for Low and High categories. What is the advantage of this new categorization? (Hint: compare with misclassification error for previous categorization)
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