Artificial Intelligence > Report > AI, Ethics, and Society Homework Project #5 | Download for quality grades | (All)
Step 2: I chose Taiwan Credit Dataset. There are 30000 observations and 24 attributes. 3 Protected classes, they are: 1. X2- Sex - (Equal Pay Act of 1963; Civil Rights Act of 1964, 1991) 2. X5 ... – age – (Age Discrimination in Employment Act of 1967) (over 40)) 3. X4 – Marital Status - (Civil Rights Act of 1968) Step 3: — Outcome variable(s) that relates to the creditworthiness of a customer include: 1. Y – Default payment 2. X6 - X11: History of past payment. X6 = the repayment status in September, 2005; X7 = the repayment status in August, 2005; . . .;X11 = the repayment status in April, 2005. The measurement scale for the repayment status is: -1 = pay duly; 1 = payment delay for one month; 2 = payment delay for two months; . . .; 8 = payment delay for eight months; 9 = payment delay for nine months and above. I chose default payment as variable of credit worthiness, and the max delay month for the 6 months. If max is less 0 then score is 100, max = 0 score is 90, max = 1 score is 80, … max = 8 score is 10. [Show More]
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