Misfire Detection in Spark Ignition Engine Using Transfer Learning

Table 5

Performance of pretrained models for various solvers.

Pretrained model	Classification accuracy for different solvers (%)			Overall accuracy (%)
	SGDM	Adam	RMSprop
AlexNet	90.70	88.70	80.00	87.29
VGG-16	97.30	90.70	92.00	93.94
GoogLeNet	96.00	95.00	69.00	87.71
ResNet-50	93.60	97.20	96.80	93.76

The values highlighted in bold signify the best classification accuracy delivered by the pretrained model for the experimented train-test split ratio. While considering the last column, the best pretrained network with highest classification accuracy value is highlighted in bold.