Research Article
Convolutional Neural Network-Based Discriminator for Outlier Detection
Table 4
The results of the 2-seed discriminator for MNIST with data augmentation.
| Noise ratio | 10 (%) | 50 (%) | 90 (%) |
| Recall | 75.68 | 86.17 | 96.64 | F1 measure | 44.93 | 87.68 | 98.06 | False negative | 0.12 | 1.1 | 8.9 | False positive | 70.9 | 21.3 | 2.88 |
|
|