표 2. | Table 2. ReLU 기반 DNN 다중 클래스 분류기의 confusion matrix | Normalized confusion matrix of multi-class classifier using deep neural network with ReLU activation function.
| | Estimated class (Unit : %) |
Actual class | | (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) |
(a) | 96.2 | 0.2 | 1.6 | 0.2 | 1.1 | 0.2 | 0.5 | 0.0 |
(b) | 0.1 | 98.0 | 0.0 | 0.0 | 0.0 | 1.9 | 0.0 | 0.0 |
(c) | 1.8 | 0.0 | 97.7 | 0.1 | 0.2 | 0.0 | 0.2 | 0.0 |
(d) | 1.1 | 0.0 | 1.2 | 93.3 | 0.7 | 0.1 | 0.2 | 3.5 |
(e) | 0.7 | 0.0 | 0.3 | 0.0 | 93.5 | 0.3 | 4.8 | 0.3 |
(f) | 0.0 | 1.3 | 0.0 | 0.0 | 0.2 | 98.0 | 0.3 | 0.0 |
(g) | 0.2 | 0.0 | 0.1 | 0.0 | 1.8 | 0.1 | 97.6 | 0.1 |
(h) | 0.0 | 0.0 | 0.2 | 1.0 | 2.5 | 0.1 | 1.6 | 94.6 |