Generating collective counterfactual explanations in score-based classification via mathematical optimization.
Emilio CarrizosaJasone Ramírez-AyerbeDolores Romero MoralesPublished in: CoRR (2023)
Keyphrases
- pattern recognition
- machine learning
- text classification
- feature extraction
- classification accuracy
- global optimization
- classification scheme
- unsupervised learning
- classification systems
- classification process
- decision trees
- optimization process
- classification algorithm
- training set
- preprocessing
- supervised learning
- automatic classification
- optimization problems
- feature selection
- support vector machine svm
- classification rules
- supervised classification
- confidence scores
- constrained optimization
- data sets
- cost sensitive
- decision rules
- training samples
- simulated annealing
- multi objective
- evolutionary algorithm
- feature vectors
- feature space
- neural network