RUSBoost: Improving classification performance when training data is skewed.
Chris SeiffertTaghi M. KhoshgoftaarJason Van HulseAmri NapolitanoPublished in: ICPR (2008)
Keyphrases
- training data
- classification accuracy
- training set
- decision trees
- classification models
- supervised learning
- class labels
- class distribution
- svm classifier
- training samples
- support vector machine
- machine learning
- image classification
- learning algorithm
- classification method
- feature vectors
- pattern classification
- feature selection
- support vector machine svm
- machine learning methods
- classification algorithm
- training dataset
- training process
- benchmark datasets
- feature ranking
- neural network
- fold cross validation
- data sets
- class imbalance
- labelled data
- ensemble learning
- test data
- machine learning algorithms
- pattern recognition
- feature extraction