Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data.
Philipp ThölkeYorguin-Jose Mantilla-RamosHamza AbdelhediCharlotte MaschkeArthur DehganYann HarelAnirudha KemturLoubna Mekki BerradaMyriam SahraouiTammy YoungAntoine Bellemare PépinClara El KhantourMathieu LandryAnnalisa PascarellaVanessa HadidEtienne CombrissonJordan O'ByrneKarim JerbiPublished in: NeuroImage (2023)
Keyphrases
- imbalanced data
- class imbalance
- software defect prediction
- minority class
- class distribution
- majority class
- imbalanced data sets
- cost sensitive learning
- cost sensitive
- sampling methods
- imbalanced datasets
- active learning
- feature selection
- linear regression
- high dimensionality
- concept drift
- imbalanced class distribution
- classification models
- decision trees
- ensemble classifier
- random forest
- svm classifier
- training data
- ensemble learning
- misclassification costs
- training set
- feature extraction
- class imbalanced
- decision boundary
- change detection
- test set
- support vector machine svm
- support vector machine
- high dimensional