Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study.
Cheng WangJorge BalazsGyörgy SzarvasPatrick ErnstLahari PoddarPavel DanchenkoPublished in: EMNLP (Industry Track) (2022)
Keyphrases
- imbalanced data sets
- imbalanced data
- linear classifiers
- training data
- test set
- decision trees
- support vector
- training set
- feature selection
- minority class
- binary classification problems
- class imbalanced
- machine learning algorithms
- multi class problems
- single class
- classification systems
- classifier ensemble
- svm classifier
- active learning
- supervised classification
- majority voting
- rare class
- multi class
- classifier combination
- naive bayes
- camera calibration
- decision boundary
- classification algorithm
- classification rate
- roc curve
- classification error
- machine learning methods