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Table 2 Confusion matrix of behaviour classified from random forests

From: Assessing the utility and limitations of accelerometers and machine learning approaches in classifying behaviour during lactation in a phocid seal

  Rest Alert Presenting/Nursing Locomotion Comfort Movement Flippering pup Tot. pred.
Rest 23,825 5445 834 113 1091 271 31,579
Alert 6994 19,308 897 741 1639 433 30,012
Presenting/Nursing 276 293 2361 13 184 148 3275
Locomotion 0 1 1 25 0 0 27
Comfort Movement 10 9 4 0 46 3 72
Flippering pup 58 45 117 2 44 587 853
Tot. obs. 31,163 25,101 4214 894 3004 1442 65,818
  1. Confusion matrix of classified discrete feature windows (each 1-s wide) showing the predicted behaviours (rows; originating from random forest classification) against the observed reference behaviours (columns; originating from the focal video data) for accelerometers mounted on the head in 2015 (50 Hz). Behaviours included Rest, Alert, Presenting/Nursing, Locomotion, Comfort Movement, and Flippering pup. Values across the diagonal (bold italic) represent those behaviours that were correctly identified, true positives, while those in italics represent false positives (rows) and false negatives (columns)