From: A denoising-classification neural network for power transformer protection
Weight | Training | Validation | Test | ||||
---|---|---|---|---|---|---|---|
ACC (%) | RecLoss | ClaLoss | ACC (%) | RecLoss | ClaLoss | ACC (%) | |
0.2/1.0 | 99.84 | 0.4279 | 0.7798 | 99.52 | 0.2655 | 9.7790 | 93.27 |
0.4/1.0 | 99.88 | 0.3967 | 1.7331 | 99.84 | 0.2299 | 2.8638 | 96.41 |
0.6/1.0 | 99.61 | 9.7129 | 2.5993 | 99.20 | 4.4010 | 6.6541 | 93.27 |
0.8/1.0 | 96.45 | 9.7129 | 11.0904 | 97.60 | 4.4010 | 5.4481 | 92.83 |
1.0/1.0 | 99.45 | 9.7129 | 3.6392 | 99.36 | 4.4010 | 7.4553 | 95.96 |
1.1/1.0 | 99.84 | 0.3074 | 1.7329 | 99.68 | 0.1914 | 1.7233 | 95.07 |
1.2/1.0 | 99.84 | 9.7129 | 1.4730 | 99.36 | 4.4010 | 3.8111 | 93.27 |
1.3/1.0 | 100.00 | 0.3236 | 0.6932 | 99.68 | 0.2155 | 13.9073 | 92.83 |
1.4/1.0 | 99.80 | 9.7129 | 1.9064 | 99.52 | 4.4010 | 0.6932 | 95.07 |
1.5/1.0 | 99.96 | 0.2226 | 0.2600 | 99.68 | 0.1702 | 5.0990 | 96.86 |
1.6/1.0 | 99.41 | 0.2357 | 2.7451 | 99.36 | 0.1744 | 23.6253 | 93.27 |
1.7/1.0 | 99.92 | 0.9992 | 0.9991 | 99.84 | 0.1803 | 0.6478 | 96.41 |
1.8/1.0 | 99.80 | 9.7129 | 2.8593 | 99.20 | 4.4010 | 12.0977 | 93.72 |
1.9/1.0 | 99.92 | 9.7129 | 1.0397 | 99.52 | 4.4010 | 6.9627 | 95.07 |
2.0/1.0 | 99.61 | 9.7129 | 1.2131 | 99.84 | 4.4010 | 4.5306 | 93.27 |