Explaining machine learning classifiers through diverse counterfactual explanations.
Ramaravind Kommiya MothilalAmit SharmaChenhao TanPublished in: FAT* (2020)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- generating explanations
- supervised classification
- feature selection
- training data
- naive bayes
- svm classifier
- meta learning
- learning classifier systems
- pattern recognition
- learning algorithm
- classification systems
- multiple classifier systems
- roc analysis
- support vector
- learning tasks
- kernel methods
- data mining
- feature set
- computational intelligence
- supervised learning
- training set
- real world
- computer science
- learning systems
- data analysis
- text classification
- inductive logic programming
- multiple classifiers
- classification models
- training examples
- natural language processing
- support vector machine
- roc curve
- knn
- linear classifiers
- inductive learning
- unsupervised learning
- test set
- semi supervised learning