표 1. | Table 1. Sigmoid 기반 DNN 다중 클래스 분류기의 confusion matrix | Normalized confusion matrix of multi-class classifier using deep neural network with Sigmoid activation function.
| | Estimated class (Unit : %) |
Actual class | | (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) |
(a) | 89.2 | 0.1 | 4.8 | 0.2 | 3.5 | 0.1 | 2.2 | 0.0 |
(b) | 0.0 | 91.9 | 0.0 | 0.0 | 0.1 | 8.0 | 0.0 | 0.0 |
(c) | 0.7 | 0.0 | 93.7 | 2.5 | 0.2 | 0.0 | 2.8 | 0.1 |
(d) | 0.1 | 0.0 | 1.8 | 79.6 | 0.7 | 0.0 | 1.5 | 16.4 |
(e) | 2.5 | 0.1 | 5.7 | 2.0 | 79.0 | 0.5 | 9.6 | 0.6 |
(f) | 0.0 | 5.7 | 0.1 | 0.1 | 0.7 | 92.5 | 0.1 | 0.8 |
(g) | 0.8 | 0.0 | 5.9 | 3.5 | 6.7 | 0.2 | 82.9 | 0.1 |
(h) | 0.0 | 0.0 | 0.6 | 17.1 | 1.3 | 0.1 | 0.2 | 80.6 |