Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost.
Chen WangChengyuan DengSuzhen WangPublished in: CoRR (2019)
Keyphrases
- class imbalance
- imbalanced datasets
- imbalanced data
- class labels
- binary classification problems
- pattern recognition
- classification accuracy
- cost sensitive
- classification algorithm
- class distribution
- support vector
- decision trees
- machine learning
- sampling methods
- image classification
- classification scheme
- feature space
- multi label
- pattern classification
- support vector machine svm
- model selection
- support vector machine
- feature vectors
- neural network
- ensemble methods
- classification models
- machine learning algorithms
- binary classification
- binary classifiers
- k nearest neighbour
- minority class
- training data
- learning algorithm
- imbalanced data sets