Random forest explainability using counterfactual sets.
Rubén R. FernándezIsaac Martín de DiegoVíctor AceñaAlberto Fernández-IsabelJavier M. MoguerzaPublished in: Inf. Fusion (2020)
Keyphrases
- random forest
- random forests
- decision trees
- feature set
- feature importance
- fold cross validation
- ensemble methods
- rotation forest
- ensemble learning
- multi label
- base classifiers
- decision tree learning algorithms
- data mining
- text mining
- semi supervised
- computer vision
- machine learning algorithms
- simulated annealing
- information extraction
- feature selection