Imbalanced enterprise credit evaluation with DTE-SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates.
Jie SunJie LangHamido FujitaHui LiPublished in: Inf. Sci. (2018)
Keyphrases
- imbalanced data
- decision trees
- ensemble methods
- sampling rate
- random forest
- imbalanced datasets
- ensemble classifier
- base classifiers
- classification models
- ensemble learning
- class distribution
- random forests
- decision tree classifiers
- imbalanced data sets
- class imbalance
- linear regression
- naive bayes
- decision tree induction
- sampling methods
- prediction accuracy
- decision tree learning
- ensemble classification
- minority class
- logistic regression
- feature selection
- machine learning algorithms
- base learners
- machine learning
- learning algorithm
- classifier ensemble
- high speed
- support vector machine
- training set
- training data
- concept drift
- generalization ability
- machine learning methods
- decision tree algorithm
- tree induction
- tree ensembles