Sharp error bounds for imbalanced classification: how many examples in the minority class?
Anass AghbalouFrançois PortierAnne SabourinPublished in: CoRR (2023)
Keyphrases
- error bounds
- class imbalance
- minority class
- imbalanced data sets
- imbalanced datasets
- majority class
- imbalanced data
- class distribution
- class imbalanced
- cost sensitive learning
- nearest neighbour
- classification error
- active learning
- decision boundary
- imbalanced data classification
- single class
- theoretical analysis
- cost sensitive
- highly skewed
- imbalanced class distribution
- support vector machine
- text classification
- feature selection
- rare events
- binary classification
- training dataset
- original data
- machine learning
- training set
- high dimensionality
- classification models
- roc curve
- machine learning methods
- pattern classification
- training data
- support vector
- ensemble learning
- attribute selection
- sampling methods
- training samples
- svm classifier
- lower bound
- high dimensional
- class labels
- worst case
- misclassification costs