Sliding Focal Loss for Class Imbalance Classification in Federated XGBoost.
Jiao TianXinyi CaiKai ZhangHongwang XiaoKe YuPei-Wei TsaiPublished in: ISPA/BDCloud/SocialCom/SustainCom (2022)
Keyphrases
- class imbalance
- cost sensitive
- class distribution
- cost sensitive learning
- active learning
- imbalanced datasets
- high dimensionality
- majority class
- pattern recognition
- imbalanced data
- sampling methods
- feature selection
- highly skewed
- imbalanced data sets
- concept drift
- decision rules
- training set
- class noise
- classification algorithm
- classification models
- multi class
- misclassification costs
- decision trees
- machine learning
- classification accuracy
- feature vectors
- feature space
- bayesian networks
- feature extraction
- imbalanced class distribution
- class imbalanced