Fig 1.
BP neural network model structure.
Table 1.
P2P lending borrower credit risk assessment indicators.
Fig 2.
P2P lending borrower credit risk assessment model.
Fig 3.
Log-Sigmoid function.
Fig 4.
Tan-Sigmoid function.
Fig 5.
BP neural network structure (LM).
Table 2.
Comparison of prediction with different hidden Layer Nodes (LM).
Fig 6.
Trainlm performance graph.
Fig 7.
BP neural network structure (SCG).
Table 3.
Comparison of prediction with different hidden layer nodes (SCG).
Fig 8.
Trainscg performance graph.
Fig 9.
BP neural network structure (BR).
Table 4.
Comparison of prediction with different hidden layer nodes (BR).
Fig 10.
Trainbr performance graph.
Fig 11.
ROC curve.
Fig 12.
Confusion matrix.
Table 5.
Comparison of validation.
Table 6.
P2P lending borrower credit risk assessment indicators.
Fig 13.
Exploratory data analysis for age (A2).
Fig 14.
Exploratory data analysis for loan amount (A10).
Fig 15.
Exploratory data analysis for loan term (A12).
Fig 16.
Exploratory data analysis for credit limit (A22).
Table 7.
Compared the BP model with competitive models.
Fig 17.
First read Excel data.
Fig 18.
Data standardization.