Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating.
Daisuke TakahashiShohei ShimizuTakuma TanakaPublished in: CoRR (2024)
Keyphrases
- black box
- machine learning models
- causal discovery
- causal models
- machine learning algorithms
- causal relationships
- spam filtering
- machine learning approaches
- black boxes
- directed acyclic graph
- conditional independence
- machine learning
- collaborative filtering
- discovery process
- bayesian networks
- white box
- predictive model
- integration testing
- learning models
- decision trees
- data mining
- white box testing