A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data.
Lean YuMengxin LiXiaojun LiuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- imbalanced data
- imbalanced data sets
- imbalanced datasets
- decision trees
- classification accuracy
- classification models
- pattern recognition
- benchmark datasets
- class imbalance
- pattern classification
- classification algorithm
- support vector
- feature extraction
- feature selection
- support vector machine
- feature set
- image classification
- text classification
- support vector machine svm
- training set
- decision boundary
- linear regression
- ensemble methods
- random forest
- ensemble classifier
- machine learning algorithms
- random forests
- decision rules
- data sets
- supervised learning
- feature space
- machine learning