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 | ||||||
