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Data Mining for Business Analytics and Cyber Security
Exercise
1. What is the difference between classification and regression? How are they similar?
2. What is difference between supervised and unsupervised Learning with examples?
3. The following table contains training examples that help predict whether a patient is likely to have a heart attack.
1. Using the heuristic of "selecting the attribute based on that it will best separate the samples into individual classes" to construct a minimal decision tree that predicts whether or not a patient is likely to have a heart attack. Show each step.
2. Do you need all the attributes for constructing this minimal decision tree?
3. Translate your decision tree into a collection of decision rules.
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