Table 5 Confusion matrix and class specific performance metrics of the best performing, optimized, model pipeline using all three feature sets (movement and timing, habitat, and history) to classify daily activity of waterfowl into 8 classes

From: Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowl