The application of machine learning algorithms in credit scoring – Ing. Niguss Solomon Hailegnaw
Ing. Niguss Solomon Hailegnaw
Master's thesis
The application of machine learning algorithms in credit scoring
Abstract:
In this thesis the principle of machine learning by using logistic regression, decision tree and neural network algorithms have been used for the purpose of credit scoring. To achieve this, a big data set of borrowers with more than 8000, 000 observations from an American lending company called LendingClub have been downloaded. The selection of important features or variables was done by selecting …more
Language used: English
Date on which the thesis was submitted / produced: 31. 3. 2020
Thesis defence
- Supervisor: Ing. Tomáš Hlavsa, Ph.D.
Citation record
ISO 690-compliant citation record:
HAILEGNAW, Niguss Solomon. \textit{The application of machine learning algorithms in credit scoring}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2020. Available from: https://theses.cz/id/dd5rpu/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme / field:
Systems Engineering and Informatics / Informatics
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