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Evaluating machine learning algorithms to predict lameness in dairy cattle

Fig 6

The representation of model performance scores of ML models used for classification of cows needing therapeutic correction vs healthy.

Conventional feature model consisted of the three accelerometer derived variables i.e., daily lying, daily steps and daily change; Slope feature model included 7 day rolling deviation of each of these variables; All feature model included variables included in Conventional feature and Slope feature.

Fig 6

doi: https://doi.org/10.1371/journal.pone.0301167.g006