A k-nearest-neighbors classifier on handcrafted neck-accelerometer features (156-sample window, 39-sample step) reaches about 0.94 test accuracy and 0.99 AUC for four merged dairy cow behavior classes.
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An Explainable AI based approach for Monitoring Animal Health
A k-nearest-neighbors classifier on handcrafted neck-accelerometer features (156-sample window, 39-sample step) reaches about 0.94 test accuracy and 0.99 AUC for four merged dairy cow behavior classes.