Evaluating machine learning algorithms to predict lameness in dairy cattle
Fig 5
Representation of model performance scores of ML models used for classification of cows needing hoof trimming vs healthy.
Conventional feature model consisted of three variables i.e., daily lying time, daily steps and daily change; the Slope feature model included 7 day rolling deviation of each of these variables; All feature models included variables included in Conventional feature and Slope features.