Table 4. The performance of the predictive model using the XGBoost.

Modality	AUC	Accuracy	Degree	Sensitivity (%)	Specificity (%)
T1	–	–	(I) Mild	81.39	20.10
	0.49	0.56	(II) Moderate	13.33	83.87
	–	–	(III) Severe	3.33	96.20
T2	–	–	(I) Mild	84.04	6.71
	0.49	0.55	(II) Moderate	4.00	88.45
	–	–	(III) Severe	3.00	96.60
T1 + C	–	–	(I) Mild	81.35	19.29
	0.49	0.57	(II) Moderate	17.33	83.34
	–	–	(III) Severe	0.20	97.73
T1 + T2 + T1 + C		–	(I) Mild	85.09	14.52
	0.49	0.58	(II) Moderate	13.33	88.93
	–	–	(III) Severe	3.00	96.58
CT	–	–	(I) Mild	98.74	2.09
	0.69	0.65	(II) Moderate	2.15	98.66
	–	–	(III) Severe	0.00	100.00

AUC, area under the curve; T1, T1-weighted scans; T1 + C, T1 post-contrast cans; T2, T2-weighted scans; CT, computed tomography.