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Lameness classification approach including test and train data across the folds and percentage misclassification from Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheep

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posted on 2019-12-18, 15:59 authored by Jasmeet Kaler, Jurgen Mitsch, Jorge A. Vázquez-Diosdado, Nicola Bollard, Tania Dottorini, Keith A. Ellis
Testing and training samples across folds and sheep misclassification percentages

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