Meta-learning for imbalanced data and classification ensemble in binary classification.
Sung-Chiang LinYuan-chin Ivan ChangWei-Ning YangPublished in: Neurocomputing (2009)
Keyphrases
- imbalanced data
- binary classification
- meta learning
- ensemble methods
- base classifiers
- class imbalance
- support vector machine
- decision trees
- base learners
- multi class
- cost sensitive
- class distribution
- ensemble classifier
- machine learning methods
- feature selection
- ensemble learning
- machine learning algorithms
- prediction accuracy
- model selection
- binary classifiers
- benchmark datasets
- learning problems
- support vector
- generalization error
- learning tasks
- minority class
- random forest
- machine learning
- active learning
- inductive learning
- svm classifier
- decision boundary
- concept drift
- high dimensionality
- image classification
- feature vectors
- training data
- feature space
- class labels
- text classification
- support vector machine svm
- similarity measure
- training set
- high dimensional
- dimensionality reduction
- text mining