Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations.
Ramaravind Kommiya MothilalAmit SharmaChenhao TanPublished in: CoRR (2019)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- generating explanations
- machine learning approaches
- supervised classification
- feature selection
- learning algorithm
- multiple classifier systems
- support vector
- classification systems
- wide variety
- meta learning
- classification algorithm
- naive bayes
- learning classifier systems
- classification models
- training data
- pattern recognition
- learning tasks
- multiple classifiers
- domain theory
- explanation based learning
- learning systems
- test set
- support vector machine
- svm classifier
- feature set
- reinforcement learning
- training set
- active learning
- information extraction
- supervised learning
- computational intelligence
- classifier combination
- learning problems
- text classification
- knowledge acquisition
- model selection
- logical framework
- roc analysis
- data mining
- ensemble learning
- inductive learning
- kernel methods
- transfer learning
- classification method
- training samples