Research Article
Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data
Table 2
Comparison of actual fraud rate and predicted fraud rate in the training set.
| Sample number | Number of samples | Contains the number of frauds | Actual fraud rate | Predicted fraud rate |
| 1 | 300 | 122 | 39.665% | 39.495% | 2 | 300 | 50 | 15.258% | 15.021% | 3 | 300 | 35 | 10.178% | 9.885% | 4 | 300 | 32 | 9.156% | 8.882% | 5 | 300 | 26 | 7.125% | 6.647% | 6 | 300 | 20 | 5.085% | 5.472% | 7 | 300 | 20 | 5.731% | 5.658% | 8 | 300 | 16 | 3.731% | 3.115% | 9 | 300 | 14 | 3.058% | 3.102% | 10 | 300 | 12 | 2.389% | 2.178% |
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