Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning.
Guillaume LemaitreFernando NogueiraChristos K. AridasPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- imbalanced datasets
- machine learning
- cost sensitive learning
- learning from imbalanced data
- decision trees
- class imbalance
- class distribution
- imbalanced data
- sampling methods
- imbalanced class distribution
- ensemble methods
- rare class
- minority class
- active learning
- machine learning methods
- highly skewed
- training dataset
- support vector machine
- high dimensional
- machine learning algorithms
- high dimensional data
- learning algorithm
- high dimensionality
- cost sensitive
- data mining
- feature selection algorithms
- random forest
- supervised learning
- data analysis
- feature selection
- probability estimation
- benchmark datasets