Table 7.

Results of models using MFCC with CTGAN.

Model	Class	Precision	Recall	F1 Score	Model	Class	Precision	Recall	F1 Score
DT	0	0.90	0.92	0.91	LR	0	1.00	1.00	1.00
	1	1.00	1.00	1.00		1	1.00	1.00	1.00
	2	0.92	0.90	0.91		2	1.00	1.00	1.00
	Micro avg.	0.94	0.94	0.94		Micro avg.	1.00	1.00	1.00
	Weighted avg.	0.94	0.94	0.94		Weighted avg.	1.00	1.00	1.00
	Accuracy	0.94				Accuracy	1.00
SVC	0	1.00	1.00	1.00	NB	0	1.00	1.00	1.00
	1	1.00	1.00	1.00		1	1.00	1.00	1.00
	2	1.00	1.00	1.00		2	1.00	1.00	1.00
	Micro avg.	1.00	1.00	1.00		Micro avg.	1.00	1.00	1.00
	Weighted avg.	1.00	1.00	1.00		Weighted avg.	1.00	1.00	1.00
	Accuracy	1.00				Accuracy	1.00
KNN	0	0.99	1.00	1.00	RF	0	1.00	1.00	1.00
	1	1.00	1.00	1.00		1	1.00	1.00	1.00
	2	1.00	1.00	1.00		2	1.00	1.00	1.00
	Micro avg.	1.00	1.00	1.00		Micro avg.	1.00	1.00	1.00
	Weighted avg.	1.00	1.00	1.00		Weighted avg.	1.00	1.00	1.00
	Accuracy	1.00				Accuracy	1.00
Hard Voting	0	1.00	1.00	1.00	Soft Voting	0	1.00	1.00	1.00
	1	1.00	1.00	1.00		1	1.00	1.00	1.00
	2	1.00	1.00	1.00		2	1.00	1.00	1.00
	Micro avg.	1.00	1.00	1.00		Micro avg.	1.00	1.00	1.00
	Weighted avg.	1.00	1.00	1.00		Weighted avg.	1.00	1.00	1.00
	Accuracy	1.00				Accuracy	1.00