HIGHLIGHTS
- What: Orora et al in the study proposed Bootstrap-Lasso (Bolasso) method and applied it to various classification algorithms for comparison and the results concluded that Bolasso`s Random Forests algorithms (BS-RF) provide the optimal solution for the purpose of credit evaluation . This approach explores new avenues for improving model accuracy .
- Who: Bowen Han from the School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia have published the research: Evaluating Machine Learning Techniques for Credit Risk Management: An Algorithmic Comparison, in the : Proceedings of the 5th International Conference on Signal Processing and Machine Learning . . .
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