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Introduction

Classification Model for Credit Score using Logistic Regression, Evaluation using AUC and KS

Technical

  • Language : Python (filetype: .ipynb)

Content

The main objective is helping minimize losses by using predictive models to predict customers who are likely to default. Use AUC and Kolmogorov-Smirnov with target AUC=0.7 and KS=0.3

Data Field