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1. Consider a binary classification problem with the following set of attributes and attribute values:
• Air Conditioner = {Working, Broken}
• Engine = {Good, Bad}
• Mileage = {High, Medium, Low}
• Rust = {Yes, No}
Suppose a rule-based classifier produces the following rule set:
(a) Are the rules mutually exclusive?
Answer:
(b) Is the rule set exhaustive?
Answer:
(c) Is ordering needed for this set of rules?
Answer:
(d) Do you need a default class for the rule set?
Answer:
2. Consider a training set that contains 100 positive examples and 400 negative examples. For each of the following candidate rules.
R1: A -→ + (covers 4 positive and 1 negative examples)
R2: B -→ + (covers 30 positive and 10 negative examples)
R3: C -→ + (covers 100 positive and 90 negative examples)
Note:The rules do not cover the entire training set.This is not an exhaustive rule set.
a.Determine which is the best and worst candidate rule according to Rule accuracy.