Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring.
Michael BückerGero SzepannekAlicja GosiewskaPrzemyslaw BiecekPublished in: CoRR (2020)
Keyphrases
- credit scoring
- machine learning models
- logistic regression
- spam filtering
- machine learning algorithms
- machine learning approaches
- support vector machine svm
- credit card
- predictive model
- machine learning
- data mining technology
- information entropy
- data mining
- machine learning methods
- learning models
- real world
- text classification
- risk assessment
- pattern recognition
- learning algorithm
- text mining
- fuzzy logic
- support vector machine
- feature space