Table 22. Models performance for SS2 using TF-IDF and BoW concatenation.

Model	Accuracy	Class	Precision	Recall	F1 score
RF	0.92	0	0.87	0.99	0.93
		1	0.95	0.85	0.89
		2	0.96	0.87	0.92
		macro avg	0.92	0.91	0.92
		weighted avg	0.92	0.92	0.92
XGboost	0.92	0	0.88	0.95	0.91
		1	0.95	0.88	0.91
		2	0.95	0.90	0.92
		macro avg	0.93	0.92	0.92
		weighted avg	0.92	0.92	0.92
SVC	0.89	0	0.85	0.94	0.88
		1	0.91	0.84	0.86
		2	0.92	0.85	0.88
		macro avg	0.89	0.88	0.89
		weighted avg	0.89	0.89	0.89
ETC	0.93	0	0.89	0.93	0.91
		1	0.90	0.86	0.88
		2	0.91	0.88	0.90
		macro avg	0.90	0.89	0.89
		weighted avg	0.90	0.90	0.90
DT	0.91	0	0.92	0.97	0.94
		1	0.93	0.91	0.92
		2	0.93	0.90	0.92
		macro avg	0.93	0.93	0.93
		weighted avg	0.93	0.93	0.93