Interpretable classifiers for tabular data via discretization and feature selection.
Reijo JaakkolaTomi JanhunenAntti KuusistoMasood Feyzbakhsh RankoohMiikka VilanderPublished in: CoRR (2024)
Keyphrases
- tabular data
- feature selection
- feature set
- naive bayes
- support vector
- statistical disclosure control
- feature selection algorithms
- cell suppression
- feature subset
- controlled tabular adjustment
- naive bayes classifier
- feature ranking
- mutual information
- decision trees
- training data
- classification accuracy
- machine learning
- text classification
- model selection
- support vector machine
- feature space
- data sets
- differential privacy
- data mining
- dimensionality reduction
- database systems