The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations.
Stjepan PicekAnnelie HeuserAlan JovicShivam BhasinFrancesco RegazzoniPublished in: IACR Trans. Cryptogr. Hardw. Embed. Syst. (2019)
Keyphrases
- class imbalance
- machine learning
- software defect prediction
- high dimensionality
- active learning
- cost sensitive learning
- feature selection
- class distribution
- cost sensitive
- majority class
- sampling methods
- high dimensional data
- small disjuncts
- feature ranking
- imbalanced datasets
- high dimensional
- pattern recognition
- machine learning algorithms
- decision trees
- machine learning methods
- feature space
- text classification
- dimensionality reduction
- supervised learning
- data analysis
- information extraction
- minority class
- imbalanced data
- data mining
- concept drift
- ensemble learning
- learning algorithm
- support vector machine
- semi supervised
- training data
- training examples
- unsupervised learning
- microarray