Appendix A
Table S1. Results of the WS-CNN classifier for post-HI spike transient identification in experimental data (entire 6 hours – 13 layers)
Trained and validated on Sheep No. | No. of patterns in the Train and Validation Dataset | Tested on Sheep No. | No. of patterns in the Test-set | TP hits | TN hits | FP hits | FN hits | Sensitivity [%] | Selectivity [%] | Precision [%] | Accuracy [%] |
2,3,4,5,6,7 | 4567 | 1 | 443 | 152 | 269 | 1 | 21 | 87.9 | 99.6 | 99.3 | 95.0 |
1,3,4,5,6,7 | 4751 | 2 | 259 | 110 | 149 | 0 | 0 | 100 | 100 | 100 | 100 |
1,2,4,5,6,7 | 4731 | 3 | 279 | 81 | 196 | 0 | 2 | 97.6 | 100 | 100 | 99.3 |
1,2,3,5,6,7 | 3372 | 4 | 1638 | 824 | 806 | 8 | 0 | 100 | 99.0 | 99.0 | 99.5 |
1,2,3,4,6,7 | 4088 | 5 | 922 | 454 | 466 | 1 | 1 | 99.8 | 99.8 | 99.8 | 99.8 |
1,2,3,4,5,7 | 4466 | 6 | 544 | 231 | 312 | 1 | 0 | 100 | 99.7 | 99.6 | 99.8 |
1,2,3,4,5,6 | 4085 | 7 | 925 | 209 | 714 | 2 | 0 | 100 | 99.7 | 99.1 | 99.8 |
Overall performance of the 13 layers WS-CNN in the entire 6 hours | 99.03±1.66 |