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Predicting Accuracy of Default Credit Card Clients by Using Various Machine Learning Techniques
Örebro University, Örebro University School of Business.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019. , p. 26
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-77527OAI: oai:DiVA.org:oru-77527DiVA, id: diva2:1363351
Subject / course
Statistik
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Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-10-22Bibliographically approved

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CiteExportLink to record
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  • apa
  • ieee
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  • de-DE
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  • en-US
  • fi-FI
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