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Table 3 Performance of the decision-tree classification algorithm across individual cows

From: Classification of behaviour in housed dairy cows using an accelerometer-based activity monitoring system

Cow Lying Standing Feeding
Sensitivity Precision Sensitivity Precision Sensitivity Precision
1a 91.59 89.91 80.65 84.75 91.30 93.33
1b 69.62 98.21 No obs 0 100 75.38
2 71.17 94.05 68.75 68.75 92.54 92.54
3a 21.82 100 100 27.59 100 27.59
3b 60.27 100 91.67 40.74 98.61 81.61
4a 100 95 95 100 93.75 100
4b 85.59 100 100 23.26 100 71.05
5a 66.67 100 0.00 0 88.89 53.33
5b 47.83 100 39.39 15.85 78.49 51.41
6a 85.00 100 100 85.19 100 84.62
6b 100 94.12 89.04 85.53 84.62 80.00
  1. Results were obtained using a 1-min window and values of 0.0413 and -0.055 g for threshold A and B, respectively. Characters a (day 1) and b (day 2) after the cow number correspond to the day the observations were recorded. For all of the cows, observations were recorded over two successive days. For cow number 2, no accelerometer records were collected in the second day due to a battery failure in the sensor. No observations of standing behaviour were recorded for cow 1 on day 2