Table 9.

Results of models using MFCC and CQT features from CTGAN data.

Model	Class	Precision	Recall	F1 Score	Model	Class	Precision	Recall	F1 Score
DT	0	0.81	0.80	0.81	LR	0	1.00	1.00	1.00
	1	0.91	0.92	0.91		1	1.00	1.00	1.00
	2	0.83	0.82	0.82		2	1.00	1.00	1.00
	Micro avg.	0.85	0.85	0.85		Micro avg.	1.00	1.00	1.00
	Weighted avg.	0.85	0.85	0.85		Weighted avg.	1.00	1.00	1.00
	Accuracy	0.85				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	0.66	1.00	0.80	RF	0	1.00	1.00	1.00
	1	1.00	0.03	0.07		1	1.00	1.00	1.00
	2	0.37	0.55	0.45		2	1.00	1.00	1.00
	Micro avg.	0.68	0.53	0.44		Micro avg.	1.00	1.00	1.00
	Weighted avg.	0.68	0.52	0.43		Weighted avg.	1.00	1.00	1.00
	Accuracy	0.52				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