[1] Adewusi, A.O., Oyedokun, T.B., Bello, M.O.:
Application of artificial neural network to loan recovery
prediction. International Journal of Housing Marke Analysis
(2016)
[2] Chambers, B., Zaharia, M.: Spark: The definitive guide:
Big data processing made simple. ” O?Reilly Media, Inc.”
(2018)
[3] Hamid, A.J., Ahmed, T.M.: Developing prediction
model of loan risk in banks using data mining. Machine
Learning and Applications: An International Journal
(MLAIJ) Vol 3(1) (2016)
[4] Hassan, A.K.I., Abraham, A.: Modeling consumer loan
default prediction using neural netware. In: 2013
INTERNATIONAL CONFERENCE ON COMPUTING,
ELECTRICAL AND ELECTRONIC ENGINEERING
(ICCEEE). pp. 239–243. IEEE (2013)
[5] Klaas, J.: Loan default model trap.
https://www.kaggle.com/jannesklaas/modeltrap, (Accessed
on 13/10/2021)
[6] Lai, L.: Loan default prediction with machine learning
techniques. In: 2020 International Conference on Computer
Communication and Network Security (CCNS). pp. 5–9.
IEEE (2020)
[7] Marqu´es Marzal, A.I., Garc´?a Jim´enez, V., S´anchez
Garreta, J.S.: Exploring the behaviour of base classifiers in
credit scoring ensembles (2012)
[8] Meer, K.: Machine learning models for mortgage default
prediction in pakistan. In: 2021 International Conference on
Artificial Intelligence (ICAI). pp. 164–169. IEEE (2021)
[9] Murray, J.: Default on a loan, united states business law
and taxes guide national credit act (2005). act no. 34 of
2005, republic of south africa (2011)
[10] Odegua, R.: Predicting bank loan default with extreme
gradient boosting. arXiv preprint arXiv:2002.02011 (2020)
[11] Patel, B., Patil, H., Hembram, J., Jaswal, S.: Loan
default forecasting using data mining. In: 2020 International
Conference for Emerging Technology (INCET). pp. 1–4.
IEEE (2020)
[12] Reddy, M.J., Kavitha, B.: Neural networks for
prediction of loan default using attribute relevance analysis.
In: 2010 International Conference on Signal Acquisition and
Processing. pp. 274–277. IEEE (2010)
[13] Rendle, S.: Factorization machines. In: 2010 IEEE
International conference on data mining. pp. 995–1000.
IEEE (2010)
[14] Sheikh, M.A., Goel, A.K., Kumar, T.: An approach for
prediction of loan approval using machine learning
algorithm. In: 2020 International Conference on Electronics
and Sustainable Communication Systems (ICESC). pp.
490–494. IEEE (2020)
[15] Turkson, R.E., Baagyere, E.Y., Wenya, G.E.: A
machine learning approach for predicting bank credit
worthiness. In: 2016 Third International Conference on
Artificial Intelligence and Pattern Recognition (AIPR). pp.
1–7. IEEE (2016)
[16] Wang, B., Liu, Y., Hao, Y., Liu, S.: Defaults
assessment of mortgage loan with rough set and svm. In:
2007 International Conference on Computational
Intelligence and Security (CIS 2007). pp. 981–985. IEEE
[17] Loan Default Prediction Using Spark Machine
Learning Algorithms Aiman Muhammad Uwais and and
Hamidreza Khaleghzadeh