Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm

Table 4 Results for the accuracy, specificity, sensitivity, and F1 score produced by each of the ten models in the pathology grading task

Classification	Model	Accuracy	Specificity	Sensitivity	F1 score
Histologic grading	Model 1	94.12	97.04	93.94	93.89
	Model 2	91.67	95.83	91.68	91.77
	Model 3	97.22	98.61	97.22	97.22
	Model 4	88.89	94.44	88.89	88.57
	Model 5	94.44	97.22	94.44	94.41
	Model 6	94.29	97.10	94.44	94.41
	Model 7	94.44	97.22	94.44	94.30
	Model 8	88.89	94.44	88.89	88.30
	Model 9	94.44	97.22	94.44	94.30
	Model 10	94.59	97.33	94.66	94.56