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ITC516 Data Mining And Visualisation For Business Intelligence

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  • Course Code: ITC516
  • University: Charles Sturt University

    MyAssignmentHelp.com is not sponsored or endorsed by this college or university

  • Country: Australia

Question:

Create a pivot table for the training data with Online as a column variable, CC as a row variable, and Loan as a secondary row variable. The values inside the cells should convey the count (how many records are in that cell).

Consider the task of classifying a customer who owns a bank credit card and is actively using online banking services. Analyse the pivot table and calculate the probability that this customer will accept the loan offer. Note: This is the probability of loan acceptance (Loan=1) conditional on having a bank credit card (CC=1) and being an active user of online banking services (Online=1).

Design two separate pivot tables for the training data. One will have Loan (rows) as a function of Online (columns) and the other will have Loan (rows) as a function of CC. Compute the following quantities [P(A | B) means “the probability of A given B”].

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