Threshold Selection for Classification with Skewed Class Distribution.
Xiaofeng HeRong ZhangAoying ZhouPublished in: WAIM Workshops (2013)
Keyphrases
- class distribution
- class imbalance
- highly skewed
- roc analysis
- cost sensitive
- threshold selection
- training set
- class labels
- imbalanced datasets
- highly imbalanced
- misclassification costs
- training data
- majority class
- training samples
- cost sensitive learning
- imbalanced data sets
- classification algorithm
- imbalanced data
- test set
- classification accuracy
- decision boundary
- feature extraction
- image classification
- decision trees
- text classification
- support vector
- training examples
- test data
- pattern classification
- machine learning
- feature selection
- data mining
- concept drift
- minority class
- binary classifiers
- feature space
- active learning
- benchmark datasets
- supervised learning
- multi class
- support vector machine