Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting.
Jie SunHui LiHamido FujitaBinbin FuWenguo AiPublished in: Inf. Fusion (2020)
Keyphrases
- class imbalanced
- imbalanced data
- support vector
- ensemble methods
- feature selection
- ensemble learning
- training data
- base classifiers
- ensemble classifier
- minority class
- class imbalance
- multi class
- instance selection
- support vector machine svm
- support vector machine
- decision trees
- generalization ability
- class distribution
- random forest
- training set
- learning algorithm
- binary classification
- linear regression
- multi class classification
- concept drift
- data sets
- high dimensionality
- weak classifiers
- benchmark datasets
- prediction accuracy
- base learners
- knn
- machine learning
- test data
- classification algorithm
- regression problems
- kernel function
- feature space