Bayesian subset selection and variable importance for interpretable prediction and classification.
Daniel R. KowalPublished in: CoRR (2021)
Keyphrases
- subset selection
- feature selection
- classification rules
- pattern recognition
- target variable
- classification accuracy
- classification scheme
- support vector
- feature vectors
- image classification
- text classification
- model selection
- prediction accuracy
- decision trees
- support vector machine
- automatic classification
- bayesian networks
- cross validation
- ensemble classifier
- nearest neighbour algorithm
- bayesian methods
- predictive modeling
- classification method
- feature set
- feature space
- machine learning
- classification algorithm
- microarray
- benchmark datasets
- prediction model
- supervised learning
- knn
- feature extraction
- genetic algorithm
- automatic relevance determination
- neural network