Explainability of COVID-19 Classification Models Using Dimensionality Reduction of SHAP Values.
Daniel M. KuhnMelina LoretoMariana Recamonde MendozaJoão Luiz Dihl CombaViviane Pereira MoreiraPublished in: BRACIS (1) (2023)
Keyphrases
- classification models
- dimensionality reduction
- feature selection
- decision trees
- training data
- high dimensionality
- principal component analysis
- feature extraction
- high dimensional data
- software quality classification
- high dimensional
- low dimensional
- feature set
- probability estimates
- feature subset
- decision tree algorithm
- image classification
- models built
- imbalanced data
- learning models
- text categorization
- database
- training set
- feature space
- data sets