Table 6.

A comparative analysis of prediction accuracy across various prediction models using the LUSC dataset.

Methods	Performance measures
	ACC (%)	SEN (%)	SPE (%)	F1-score (%)
DBN	86.72	81.90	66.21	49.22
WE-DBN	78.42	80.14	63.52	43.77
DBN-ELM	92.14	79.61	62.53	57.87
DBN-ELM-BP	97.85	98.34	77.85	68.16
DNN	83.45	77.33	78.23	65.38
GoogleNet	84.06	79.48	80.79	69.10
ResNet	89.96	82.13	77.72	67.91

Bold values indicate the appropriate values in each column of the table.