Table 3 Confusion matrix of snore detection using fivefold cross-validation.
From: Automatic snoring detection using a hybrid 1D–2D convolutional neural network
Trials | Ground truth | |||
|---|---|---|---|---|
Snore | Non-snore | |||
Model prediction | 1 | Snore | 604 | 54 |
Non-snore | 40 | 356 | ||
2 | Snore | 572 | 77 | |
Non-snore | 56 | 274 | ||
3 | Snore | 806 | 74 | |
Non-snore | 34 | 327 | ||
4 | Snore | 632 | 76 | |
Non-snore | 32 | 362 | ||
5 | Snore | 553 | 56 | |
Non-snore | 51 | 343 | ||
