Predicting Default Risk on Peer-to-Peer Lending Imbalanced Datasets.
Yen-Ru ChenJenq-Shiou LeuSheng-An HuangJui-Tang WangJun-ichi TakadaPublished in: IEEE Access (2021)
Keyphrases
- imbalanced datasets
- peer to peer
- learning from imbalanced data
- cost sensitive learning
- class distribution
- class imbalance
- training dataset
- sampling methods
- imbalanced data
- decision trees
- ensemble methods
- feature selection algorithms
- missing values
- test set
- minority class
- data distribution
- cost sensitive
- concept drift
- neural network
- training data