From: Automated identification of copepods using digital image processing and artificial neural network
Species | Results | Accuracy % | |||||||
---|---|---|---|---|---|---|---|---|---|
 | As | Bs | Oa | Od | Os | Pc | Tb | Tf |  |
As | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 |
Bs | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 100 |
Oa | 0 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 100 |
Od | 0 | 0 | 0 | 18 | 2 | 0 | 0 | 0 | 90 |
Os | 0 | 0 | 0 | 2 | 17 | 1 | 0 | 0 | 85 |
Pc | 0 | 0 | 1 | 0 | 1 | 18 | 0 | 0 | 90 |
Tb | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 1 | 95 |
Tf | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 17 | 85 |
Overall | Â | Â | Â | Â | Â | Â | Â | Â | 93.13 |