Selection of objective function for imbalanced classification: an industrial case study.
Abdul Rauf KhanHenrik SchiølerMurat KulahciPublished in: ETFA (2017)
Keyphrases
- objective function
- pattern recognition
- classification accuracy
- support vector
- class imbalance
- image classification
- feature extraction
- decision trees
- feature vectors
- pattern classification
- support vector machine svm
- benchmark data sets
- machine learning
- classification algorithm
- classification models
- decision rules
- machine learning algorithms
- support vector machine
- classification scheme
- decision boundary
- imbalanced data
- automatic classification
- imbalanced datasets
- data sets
- rare class
- classification method
- text classification
- cost function
- lower bound
- training data
- feature selection
- learning algorithm