Dec 30, 2020 � In this paper, we made 3 anonymized real-world credit scoring datasets available alongside the results obtained.
... Credit scoring evaluation methods can be broadly classified into three approaches, i.e., expertbased approaches, statistical methods, and machine learning (�...
Lessons learned from data stream classification applied to credit scoring � List of references � Publications that cite this publication.
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Combining Slow and Fast Learning for Improved Credit Scoring � Conference Paper. October 2020 � 24 Reads ; Lessons learned from data stream classification applied�...
Mar 13, 2024 � In this post, we'll cover the advantages of using machine learning for credit scoring and the types of algorithms effectively applied in the financial sector.
A comparative study on base classifiers in ensemble methods for credit scoring � Benchmarking state-of-the-art classification algorithms for credit scoring.
An experimental comparison of classification algorithms for imbalanced credit scoring data sets � Computer Science, Business. Expert Syst. Appl. � 2012.
May 11, 2023 � Lessons learned from data stream classification applied to credit scoring. Expert Systems With Applications, 162(2020), 113899. 27. M.R.�...
Nov 25, 2022 � We present a novel adaptive behavioral credit scoring scheme which uses online training for each incoming inquiry (a borrower) by identifying a specific region�...
This study presents a experimental results analysis of various combinations of feature selection approaches with various classification approaches.