Interpretable machine learning for heterogeneous treatment effect estimators with Double ML: a case of access to credit for SMEs.
Kyrylo MedianovskyiAidas MalakauskasAusrine LakstutieneSadok Ben YahiaPublished in: KES (2023)
Keyphrases
- machine learning
- small and medium enterprises
- knowledge acquisition
- learning tasks
- maximum likelihood
- text mining
- information retrieval
- decision trees
- text classification
- knowledge representation
- inductive learning
- machine learning approaches
- machine learning methods
- risk management
- transparent access
- credit scoring
- low variance
- multiple autonomous
- data sets
- machine learning algorithms
- electronic commerce
- model selection
- natural language processing
- data analysis
- pattern recognition
- knowledge base
- e learning
- computer vision
- learning algorithm
- data mining