Credit Risk Models Using Machine Learning Models
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Date
2018
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MEF Üniversitesi, Fen Bilimleri Enstitüsü
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Abstract
Credit scoring is an important subject in financial institutions, mainly in banks. I want to examine some machine learning techniques to find out a model that performs good in predicting or classifying the loaner person a good credit or a bad one by evaluating his/her demographic features as marital status, wealth, job seniority, monthly income and expenses.
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Credit Ranking, Credit Scoring Models, Machine Learning, Support Vector Machine, Decision Tree Model, Linear Discrimant Analysis, Loan-to-Value Ration, Saving Capacity, Logistic Regression Model
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Akman, Ö. (2018). Credit risk models using machine learning models, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye
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Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING

10
REDUCED INEQUALITIES

11
SUSTAINABLE CITIES AND COMMUNITIES

17
PARTNERSHIPS FOR THE GOALS

