Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts.
Marta MercierMiriam Seoane SantosPedro H. AbreuCarlos SoaresJastin Pompeu SoaresJoão A. M. SantosPublished in: IDA (2018)
Keyphrases
- imbalanced data sets
- imbalanced data
- training data
- minority class
- binary classification problems
- test set
- decision trees
- linear classifiers
- class distribution
- class labels
- support vector
- class imbalance
- multiclass classification
- training set
- classification error
- single class
- decision boundary
- classification method
- ensemble learning
- meta learning
- classifier combination
- ensemble classifier
- feature set
- class imbalanced
- machine learning algorithms
- training samples
- majority voting
- classification systems
- naive bayes
- feature selection
- svm classifier