Question: Given the following decision table: table [ [ ID , Diploma,Experience,Reference,Decision ] , [ X 1 , MBA,Medium,Excellent,Accept ] , [ X 2 ,

Given the following decision table:
\table[[ID,Diploma,Experience,Reference,Decision],[X1,MBA,Medium,Excellent,Accept],[X2,MBA,Low,Neutral,Reject],[X3,MCE,Low,Excellent,Accept],[X4,MSC,High,Neutral,Accept],[X5,MSC,High,Neutral,Reject],[X6,MSC,High,Neutral,Accept],[X7,MBA,High,Good,Accept],[X8,MCE,Low,Excellent,Reject]]
Consider the above table and assume the following abbreviations: [7 marks]
Diploma =MBA is abbreviated as MBA
Diploma=MCE is abbreviated as MCE and the same for other attributes
a. Estimate the conditional probabilities for
Accept |MBA| Reject |MBA|
Accept |MCE| Reject |MCE|
Accept |MSA| Reject |MSA|
Do the same for other attributes: "Experience" and "Reference"
b. Given a record with the following attributes values:
\table[[RI,MBA,Low,Good,?
 Given the following decision table: \table[[ID,Diploma,Experience,Reference,Decision],[X1,MBA,Medium,Excellent,Accept],[X2,MBA,Low,Neutral,Reject],[X3,MCE,Low,Excellent,Accept],[X4,MSC,High,Neutral,Accept],[X5,MSC,High,Neutral,Reject],[X6,MSC,High,Neutral,Accept],[X7,MBA,High,Good,Accept],[X8,MCE,Low,Excellent,Reject]] Consider the above table and

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