Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Alberto FernándezVictoria LópezMikel GalarMaría José del JesusFrancisco HerreraPublished in: Knowl. Based Syst. (2013)
Keyphrases
- multiple classes
- imbalanced data sets
- multi class
- machine learning methods
- image classification
- classification accuracy
- machine learning
- imbalanced data
- multi label classification
- class distribution
- feature extraction
- benchmark data sets
- support vector machine
- support vector
- class imbalance
- benchmark datasets
- rare events
- decision trees
- prior knowledge
- machine learning algorithms
- support vector machine svm
- data sets
- text mining
- supervised learning
- feature vectors