A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets
Fig 12
Spectra of bins counted as network misclassifications in the balanced Site H evaluation dataset.
All detections had a probability greater than 0.9. Only classes which contained misclassifications are shown, a majority of the misclassified UD bins appear to be Risso’s dolphin bins. Some of the PWS Type A events are consistent with the class and may represent cases that were mislabeled in the cluster-derived Site H evaluation dataset.