Skip to main content

Table 2 The overall model accuracy and mean F1 statistic (harmonic mean of the precision and recall) for each 10 Hz model using different strategies to build the random forest model. *SD not available

From: Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids

Model

Pygmy goat

Alpine ibex

Accuracy ± SD (%)

F1 statistic ± SD

Accuracy ± SD (%)

F1 statistic ± SD

Random split train and test data

97.8

0.96 ± 0.02

98.6

0.96 ± 0.01

with balanced observations

97.6

0.98 ± 0.02

98.6

0.99 ± 0.01

with reduced behaviours

98.2

0.97 ± 0.02

98.7

0.97 ± 0.01

Data split per individual train and test data

57.8 ± 5.4

0.34 ± 0.03

65.5 ± 5.2

0.40 ± 0.02

with balanced observations

42.1 ± 6.0

0.38 ± 0.05

47.7 ± 7.2

0.43 ± 0.05

with reduced behaviours

59.2 ± 5.7

0.43 ± 0.05

68.6 ± 5.1

0.51 ± 0.02