Trained and validated on Sheep No. No. of patterns in the train 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 1 443 148 270 25 0 100 85.5 100 94.4
1,3,4,5,6,7 4751 2 259 108 149 2 0 100 98.2 100 99.2
1,2,4,5,6,7 4731 3 279 82 192 1 4 95.3 98.8 98.0 98.2
1,2,3,5,6,7 3372 4 1638 818 795 6 19 97.7 99.3 97.7 98.5
1,2,3,4,6,7 4088 5 922 454 455 13 0 100 97.2 100 98.6
1,2,3,4,5,7 4466 6 544 231 305 0 8 96.7 100 97.4 98.5
1,2,3,4,5,6 4085 7 925 209 702 2 14 93.7 99.0 98.0 98.3
Overall performance of the 5 layers WF-CNN in the entire 6 hours 97.96±1.48