Transparency, auditability, and explainability of machine learning models in credit scoring.
Michael BückerGero SzepannekAlicja GosiewskaPrzemyslaw BiecekPublished in: J. Oper. Res. Soc. (2022)
Keyphrases
- credit scoring
- machine learning models
- logistic regression
- spam filtering
- machine learning algorithms
- machine learning approaches
- support vector machine svm
- data mining technology
- machine learning
- credit card
- learning models
- information entropy
- data mining
- support vector machine
- predictive model
- artificial neural networks
- information retrieval
- historical data
- support vector
- data sets
- text classification
- data points
- preprocessing