Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.
Divyat MahajanChenhao TanAmit SharmaPublished in: CoRR (2019)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- causal reasoning
- feature selection
- causal models
- learning classifier systems
- supervised classification
- knowledge acquisition
- training set
- learning algorithm
- artificial intelligence
- natural language processing
- text classification
- meta learning
- semi supervised learning
- bayesian networks
- naive bayes
- test set
- learning tasks
- computer science
- support vector
- supervised learning
- classification models
- knowledge representation
- training samples
- active learning
- computer vision
- linear classifiers
- qualitative models
- multi class