Table 20. Models performance for SS2 using BoW.

Model	Accuracy	Class	Precision	Recall	F1 score
RF	0.91	0	0.86	0.99	0.92
		1	0.95	0.85	0.90
		2	0.97	0.87	0.92
		macro avg	0.93	0.90	0.91
		weighted avg	0.92	0.91	0.91
XGboost	0.91	0	0.87	0.95	0.91
		1	0.94	0.87	0.90
		2	0.94	0.89	0.92
		macro avg	0.92	0.91	0.91
		weighted avg	0.91	0.91	0.91
SVC	0.87	0	0.82	0.94	0.88
		1	0.88	0.80	0.84
		2	0.93	0.84	0.88
		macro avg	0.88	0.86	0.87
		weighted avg	0.87	0.87	0.87
ETC	0.92	0	0.88	0.99	0.93
		1	0.95	0.88	0.91
		2	0.98	0.88	0.93
		macro avg	0.93	0.92	0.92
		weighted avg	0.93	0.92	0.92
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