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Evaluating machine learning algorithms to predict lameness in dairy cattle

Fig 8

The performance of different algorithms for classification of cows whether they have infectious lameness or non-infectious lameness condition among the diseased cows.

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 8

doi: https://doi.org/10.1371/journal.pone.0301167.g008