Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees.
Xavier RenardNicolas WoloszkoJonathan AigrainMarcin DetynieckiPublished in: CoRR (2019)
Keyphrases
- decision trees
- high level
- tree construction
- low level
- decision tree learning
- leaf nodes
- feature construction
- classification trees
- machine learning
- machine learning algorithms
- tree structure
- classification rules
- induction algorithms
- semantic video retrieval
- tree representation
- tree structures
- tree patterns
- concept learning
- random forest
- predictive accuracy
- conceptual model
- logistic regression
- naive bayes
- programming language
- rough sets