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1. Consider a binary classification problem with the following set of attributes and attribute values: o Air Conditioner : {Working, Broken} o Engine : {Good,

1. Consider a binary classification problem with the following set of attributes and

attribute values:

o Air Conditioner : {Working, Broken}

o Engine : {Good, Bad}

o Mileage : {High, Medium, Low}

o Rust : {yes, No}

Suppose a rule-based classifier produces the following rule set:

image text in transcribed

(a) Are the rules mutually exclustive?

(b )Is the rule set exhaustive?

(c) Is ordering needed for this set of rules?

(d) Do you need a default class for the rule set?

NOTE: Use Python to compute any calculation (if required). This exercise is from Chapter 5, Section 5.10, page 315 from the book Introduction to Data Mining by PANG NING TAN and MICHAEL STEINBACH.

Mileage = High - Value = Low Mileage = Low --> Value = High Air Conditioner = Working, Engine = Good -- Value = High Air Conditioner = Working, Engine = Bad Value = Low Air Conditioner = Broken -- Value = Low

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