Machine learning explainability via microaggregation and shallow decision trees.
Alberto Blanco-JusticiaJosep Domingo-FerrerSergio MartínezDavid SánchezPublished in: Knowl. Based Syst. (2020)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- natural language processing
- information extraction
- decision tree construction
- feature construction
- decision tree induction
- predictive accuracy
- information loss
- question answering
- computational intelligence
- naive bayes
- knowledge acquisition
- random forest
- learning algorithm
- training set
- pattern recognition
- text classification
- computer vision
- explanation based learning
- training data
- deep learning
- decision tree algorithm
- meta learning
- machine learning methods
- ensemble methods
- data mining methods
- decision rules
- learning systems
- feature selection
- inductive learning
- learning tasks
- supervised learning
- active learning
- decision tree learning
- data sets