Assessing the performance of classifiers when classes arise from a continuum.
Bjørn-Helge MevikPublished in: Comput. Stat. Data Anal. (2004)
Keyphrases
- class labels
- support vector
- binary classifiers
- decision trees
- linear classifiers
- training data
- discriminant functions
- binary classification problems
- feature selection
- binary classification tasks
- trained classifiers
- multi class problems
- class membership
- classification models
- classification algorithm
- machine learning algorithms
- naive bayes
- training samples
- training set
- classification method
- supervised classification
- training examples
- positive and negative examples
- multiple classifiers
- single class
- decision functions
- face recognition
- class imbalanced
- learning algorithm