Applying CRISP-DM Methodology in Developing Machine Learning Model for Credit Risk Prediction

Author:

Rawat Kuldeep

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Zipporah, L., Understanding CRISP-DM and its importance in Data Science projects. https://medium.com/analytics-vidhya/understanding-crisp-dm-and-its-importance-in-data-science-projects-91c8742c9f9b. Accessed 15 Sept 2022

2. Hota, N. What is CRISP DM? https://www.datascience-pm.com/crisp-dm-2/. Accessed 10 August 2022

3. Shi, S., Tse, R., Luo, W., D’Addona, S., Pau, G.: Machine learning-driven credit risk: a systemic review. Neural Comput. Appl. 34, 14327–14339 (2022)

4. Luo, C., Wu, D., Wu, D.: A deep learning approach for credit scoring using credit default swaps. Eng. Appl. Artif. Intell. 65, 465–470 (2017)

5. Chen, Y.R., Leu, J.S., Huang, S.A., et al.: Predicting default risk on peer-to-peer lending imbalanced datasets. IEEE Access 9, 73, 103–73, 109 (2021)

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