Study of various machine learning approaches to predict default behavior of a borrower based on transactional dataset

Study of various machine learning approaches to predict default behavior of a borrower based on transactional dataset

Predicting ‘default’ behavior of borrowers is quite challenging and time consuming, although financial institutions require faster and more reliable decision on loan applications to survive in the competitive market. Availability of huge amount of data makes the work of current credit scoring system...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Hossain, Mohammad Farhad
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2021
Aiheet:
deep learning
credit scoring
transaction data
default behavior
loan application
Tietotekniikka
Mathematical Information Technology
602
koneoppiminen
rahoituslaitokset
machine learning
financial institutions
Linkit: https://jyx.jyu.fi/handle/123456789/75073

Samankaltaisia teoksia