Logistic Regression on Credit Card Approval Dataset Completed by Lereko Qholosha. Overview: Build a model that will predict the Approval Status given features: Gender, Age, Debt, Married, BankCustomer, EducationLevel, Ethnicity, YearsEmployed, PriorDefault, Employed, CreditScore, DriversLicense, Citizen, ZipCode, Income and finally the ApprovalStatus. Problem Statement: Evaluate the performance of the Logistic Regression Model. Data: Credit Card Approval dataset Deliverables: Write a function which calculates the Accuracy, Precision, Recall and F1 scores. Topics Covered
License: MIT License
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