Machine Learning Explainability Through Comprehensible Decision Trees.
Alberto Blanco-JusticiaJosep Domingo-FerrerPublished in: CD-MAKE (2019)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- classification rules
- decision tree construction
- rule sets
- predictive accuracy
- feature construction
- decision tree algorithm
- knowledge acquisition
- machine learning methods
- data analysis
- naive bayes
- support vector machine
- learning algorithm
- data mining methods
- semi supervised learning
- meta learning
- decision tree induction
- genetic algorithm
- machine learning approaches
- explanation based learning
- induction algorithms
- computer vision
- logistic regression
- knowledge representation
- training data
- kernel methods
- decision rules
- neural network
- inductive learning
- text mining
- natural language processing
- supervised learning
- knowledge discovery
- cost sensitive learning
- training set
- constructive induction
- feature selection