A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
China University of Mining and Technology
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
757
total citations
- FWCI
- 114.85
- Percentile
- 100%
- References
- 83
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Gradient boosting
- Boosting (machine learning)
- Machine learning
- Decision tree
- Artificial intelligence
- Bayesian optimization
- Random forest
UN Sustainable Development Goals
- Reduced inequalities
No related works found for this paper.