Table 4 The classification performance of the LFDA-DNN using the MN dataset
Comparisons | HBV-MN | IMN | OA (%) | AA (%) | Kappa |
|---|---|---|---|---|---|
SVM | 65.20 | 68.27 | 66.80 | 66.74 | 0.3347 |
ELM | 61.85 | 71.62 | 66.94 | 66.74 | 0.3356 |
Alexnet | 65.16 | 69.01 | 67.16 | 67.09 | 0.3418 |
Resnet20 | 80.17 | 68.31 | 73.99 | 74.24 | 0.4819 |
VGG19 | 79.70 | 85.72 | 82.84 | 82.71 | 0.6554 |
LFDA-SVM | 94.28 | 88.35 | 91.19 | 91.31 | 0.8239 |
LFDA-ELM | 94.92 | 84.58 | 89.54 | 89.75 | 0.7913 |
LFDA-Alexnet | 92.00 | 96.00 | 94.09 | 94.00 | 0.8814 |
LFDA-Resnet20 | 96.88 | 91.72 | 94.19 | 94.30 | 0.8839 |
LFDA-VGG19 | 95.67 | 94.45 | 95.04 | 95.06 | 0.9006 |