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

Table 2

Number of encounters from site H used for training (60% of available encounters), evaluation (30%) and validation (10%) of the neural network.

doi: https://doi.org/10.1371/journal.pcbi.1009613.t002