Actual Disparate Impact -Testing Values Evaluate Performance - Management Assignment Help

Assignment Task

Task
1.In this folder, there is a dataset “credit_risk_test” and the python file “biasInMachineLearning.ipynb”. In this python file below steps followed are-

• •Prepare dataset
• •Create test and train splits
• •Calculate actual disparate impact -testing values
• •Train a model
• •Evaluate performance
• •Calculate actual disparate impact -predicted values
• •Apply Disparate Impact Remover- AIF360 tool 

• 2Details of Dataset:
• •Gender (Male or Female)
• •Race (Caucasian, African-American, Native American, Asian, Hispanic, Other) 
• •Married (Yes or No)
• •Dependents (0, 1, 2, or 3+)
• •Education (indicating whether or not the primary applicant has graduated from high school)
• •Self Employed (Yes or No)
• •Applicant Income
• •Co-Applicant Income
• •Loan Amount
• •Loan Applicant Term
• •Credit History (0 or 1, with 0 indicating good credit history)
• •Property Area (Rural, Semiurban, or Urban)
• •Loan Status (Y or N)

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