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A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets

Table 6

Bin-level confusion on the independent, manually-labeled, unbalanced evaluation dataset from Site E.

A total of 11,867 bin-level averages were classified. Bins are given in counts rather than percentages due to the large disparities between class sizes in this unbalanced dataset.

Table 6

doi: https://doi.org/10.1371/journal.pcbi.1009613.t006