Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines.
Faisal Saleem AlraddadiLuis Fernando Lago-FernándezFrancisco de Borja RodríguezPublished in: IWANN (2) (2021)
Keyphrases
- anomaly detection
- random forests
- logistic regression
- support vector
- random forest
- base learners
- ensemble methods
- decision trees
- machine learning algorithms
- learning machines
- class imbalance
- generalization ability
- unsupervised learning
- support vector machine
- class distribution
- feature selection
- naive bayes
- supervised learning
- classification accuracy
- training data
- learning algorithm