Research Article
Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data
Table 1
Confusion matrix applied to the detection model.
| ā | Experiment classification label | 0 | 1 |
| Predict fraud category | Y | TP: Correct and affirmative. | FP: The error is positive. | A sample of normal behaviour predicted to be normal behaviour. | A sample of normal behaviour predicted to be fraudulent. | N | FN: False negative. | TN: Correctly denied. | A sample of fraudulent behaviour predicted as normal behaviour. | A sample of fraudulent behaviour predicted to be fraudulent. |
|
|