Supervised feature compression based on counterfactual analysis
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Publication:6572856
DOI10.1016/j.ejor.2023.11.019MaRDI QIDQ6572856
Dolores Romero Morales, Veronica Piccialli, Cecilia Salvatore
Publication date: 16 July 2024
Published in: European Journal of Operational Research (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Mathematical optimization in classification and regression trees
- Discretization for Naive-Bayes learning: managing discretization bias and variance
- Constructing optimal binary decision trees is NP-complete
- Evaluating feature selection methods for learning in data mining applications.
- Optimal decision trees for categorical data via integer programming
- Fairness in credit scoring: assessment, implementation and profit implications
- Machine learning for credit scoring: improving logistic regression with non-linear decision-tree effects
- Interpretable machine learning: fundamental principles and 10 grand challenges
- Operational research and artificial intelligence methods in banking
- Explainable models of credit losses
- A class of categorization methods for credit scoring models
- Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey
- Optimal classification trees
- Random forests
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