DATA MINING TECHNIQUES (CS 63015)

Kent State University

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Assignment (Elaborated) DATA MINING TECHNIQUES (CS 63015)

Exam (elaborations)

Assignment (Elaborated) DATA MINING TECHNIQUES (CS 63015)

Kent State University
DATA MINING TECHNIQUES

Q1. Given a decision tree, you have the option of (a) converting the decision tree to rules and then pruning the resulting rules, or (b) pruning the decision tree and then converting the pruned tree to rules. What advantage does (a) have over (b)? (0.75 Mark) Q2. See the following Figure and compute the true positive rate .TPR/ , false positive rate .FPR/, Precision and Accuracy. (1 Marks)Q3. Compare the advantages and disadvantages of eager classification (e.g., decision tree, Bayesian, neural ...

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