no code implementations • 12 Aug 2021 • Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
The obtained results from our experiments on the benchmark and real-life credit scoring datasets illustrate the robustness and effectiveness of the Bagging Supervised Autoencoder Classifier in the classification of loan applicants that can be regarded as a positive development in credit scoring models.
1 code implementation • 18 Oct 2020 • Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
Automatic credit scoring, which assesses the probability of default by loan applicants, plays a vital role in peer-to-peer lending platforms to reduce the risk of lenders.