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1. 1. Credit Scoring using Machine Learning Approaches

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Bornvalue Chitambira; [2022]
   Keywords : Credit Scoring; Logistic Regression; Decision Trees; Artificial Neural Networks; Random forests; Support Vector Machine; k-nearest neighbour; cross validation; imbalanced dataset;

   Abstract : This project will explore machine learning approaches that are used in creditscoring. In this study we consider consumer credit scoring instead of corporatecredit scoring and our focus is on methods that are currently used in practiceby banks such as logistic regression and decision trees and also compare theirperformance against machine learning approaches such as support vector machines (SVM), neural networks and random forests. READ MORE