Table 8 The classification results of different modules.
From: Multi-level feature encoding algorithm based on FBPSI for heart sound classification
No. | Module | PCCD | HCMD | ||
|---|---|---|---|---|---|
Acc(%) | Train time (s) | Acc (%) | Train time (s) | ||
1 | DT | 98.30 ± 0.76 | 2.4645 | 96.67 ± 2.73 | 2.5808 |
2 | SVM | 98.54 ± 0.39 | 7.6301 | 96.30 ± 2.47 | 8.9542 |
3 | KNN | 87.00 ± 2.58 | 9.2105 | 86.74 ± 2.43 | 7.3553 |
4 | MNN | 97.90 ± 1.00 | 10.161 | 96.80 ± 2.65 | 10.796 |
5 | EBTC | 98.73 ± 0.53 | 7.9118 | 98.12 ± 1.79 | 6.9425 |
