Research Article
Automated Fraudulent Phone Call Recognition through Deep Learning
Table 2
The information of the six-month dataset.
| | Dataset | Number of normal phone call samples | Number of fraudulent phone call samples |
| SC1 | Training set | 6000 | 6000 | Validation set | 1000 | 1000 | Test set | 1000 | 1000 | SC10 | Training set | 60000 | 6000 | Validation set | 1000 | 1000 | Test set | 1000 | 1000 | SC100 | Training set | 600000 | 6000 | Validation set | 1000 | 1000 | Test set | 1000 | 1000 | SC200 | Training set | 1200000 | 6000 | Validation set | 1000 | 1000 | Test set | 1000 | 1000 | TC10 | Training set | 60000 | 6000 | Validation set | 1000 | 1000 | Test set | 10000 | 1000 | TC100 | Training set | 60000 | 6000 | Validation set | 1000 | 1000 | Test set | 100000 | 1000 | TC1000 | Training set | 60000 | 6000 | Validation set | 1000 | 1000 | Test set | 1000000 | 1000 |
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