Advances, Systems and Applications
Table 6 Accuracy performance outcomes
From: Security strategy for autonomous vehicle cyber-physical systems using transfer learning
Pre-trained | Precision | Recall | F1-Score | Accuracy |
|---|---|---|---|---|
GoogLeNet | 100.00% | 98.94% | 99.47% | 99.47% |
AlexNet | 100.00% | 98.85% | 99.42% | 99.42% |
SqueezeNet | 100.00% | 98.78% | 99.39% | 99.38% |
InceptionV3 | 100.00% | 98.75% | 99.37% | 99.37% |
ResNet-50 | 100.00% | 98.75% | 99.37% | 99.37% |
ShuffleNet | 100.00% | 98.62% | 99.30% | 99.30% |
MobileNetV2 | 100.00% | 98.62% | 99.30% | 99.30% |
ResNet-18 | 100.00% | 98.59% | 99.29% | 99.28% |