T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma

Table 3 The prediction performance of the three models in the training group and the test group

Model	Training cohort				Validation cohort
	AUC	95%CI	Sensitivity	Specificity	AUC	95%CI	Sensitivity	Specificity
clinical	0.751	0.661-0.842	0.660	0.719	0.676	0.525-0.827	0.731	0.647
Radiomics	0.796	0.723-0.869	0.660	0.812	0.735	0.604-0.866	0.641	0.824
Radiomics-clinical model	0.862	0.796-0.927	0.777	0.812	0.761	0.635-0.887	0.705	0.765

AUC: Area under the curve.