Table 2. Comparing performance with baseline models.

Model	ML model	Weighted-AUCROC	Weighted-AUCPR	Weighted-F1	MCC	ACC
BERT	XGB	0.9939	0.9704	0.9312	0.9224	0.9304
	KNN	0.9748	0.9222	0.9226	0.9127	0.9217
	SVM	0.9940	0.9526	0.9132	0.9030	0.9130
	RF	0.9934	0.9644	0.9213	0.9127	0.9217
RoBERTa	XGB	0.9930	0.9660	0.9171	0.9077	0.9174
	KNN	0.9768	0.9212	0.9216	0.9126	0.9217
	SVM	0.9937	0.9672	0.9172	0.9078	0.9174
	RF	0.9953	0.9720	0.9213	0.9126	0.9217
LLaMA2	XGB	0.9926	0.9673	0.9312	0.9223	0.9304
	KNN	0.9791	0.9325	0.9222	0.9129	0.9217
	SVM	0.9945	0.9628	0.9306	0.9225	0.9304
	RF	0.9922	0.9639	0.9350	0.9273	0.9348

Note:

Bold indicates the highest performance.