Imbalance accuracy metric for model selection in multi-class imbalance classification problems.
Ebrahim MortazPublished in: Knowl. Based Syst. (2020)
Keyphrases
- model selection
- class imbalance
- class distribution
- cross validation
- feature selection
- active learning
- highly skewed
- imbalanced datasets
- hyperparameters
- cost sensitive
- cost sensitive learning
- concept drift
- selection criterion
- sample size
- high dimensionality
- sampling methods
- model selection criteria
- generalization error
- meta learning
- machine learning
- statistical inference
- unsupervised learning
- prediction accuracy
- error rate
- minority class
- imbalanced data
- classification accuracy
- training set
- feature space
- generalization ability