Explaining classifiers by constructing familiar concepts.
Johannes SchneiderMichalis VlachosPublished in: Mach. Learn. (2023)
Keyphrases
- training data
- decision trees
- support vector
- concept learning
- classification systems
- feature set
- supervised classification
- naive bayes
- training samples
- semantic network
- key concepts
- classification rate
- linear classifiers
- machine learning
- machine learning approaches
- class labels
- majority voting
- machine learning methods
- background knowledge
- data sets
- test set
- machine learning algorithms
- training set
- data mining