A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets
Table 4
Detection level confusion on the independent, manually-labeled, unbalanced evaluation dataset from Site E.
A total of 38,099,453 detections were classified. Detections are given in counts rather than percentages due to the large disparities between class sizes in this unbalanced dataset.