On Error-Class Distribution in Automotive Model-Based Software.
Harald AltingerYanja DajsurenSebastian SieglJurgen J. VinjuFranz WotawaPublished in: SANER (2016)
Keyphrases
- class distribution
- class imbalance
- training set
- training data
- test set
- error rate
- cost sensitive
- highly imbalanced
- highly skewed
- misclassification costs
- imbalanced data
- imbalanced datasets
- concept drift
- training set size
- training samples
- test data
- test cases
- cost sensitive learning
- majority class
- classification accuracy
- base classifiers
- estimation error
- learning algorithm
- non stationary
- decision trees
- feature selection