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Table 2 Classification performance (mean percentage and 95% confidence intervals) of the variable-time segmentation approach for different values of ARL 0 (upper three rows) and of the fixed-time segmentation approach for different fixed segment lengths (lower four rows)

From: Optimizing acceleration-based ethograms: the use of variable-time versus fixed-time segmentation

Segmentation

ARL0

Fixed length (s)

Attack (%)

Body care (%)

Fly (%)

Handle (%)

Inactive (%)

Peck (%)

Search (%)

Walk (%)

Variable-time

500

 

5.0 (0–24.1)

65.9 (50.3-78.0)

89.8 (55.6-100)

77.6 (70.5-84.4)

94.5 (93.5-95.4)

13.5 (0–28.6)

74.5 (67.0-81.6)

87.6 (85.2-89.7)

5,000

 

2.8 (0–17.5)

64.4 (47.3-77.7)

87.8 (52.7-100)

80.3 (73.0-86.7)

94.8 (93.8-95.7)

17.2 (0–33.5)

77.1 (69.2-84.8)

87.8 (84.9-90.2)

50,000

 

2.2 (0–16.2)

67.6 (52.4-81.4)

89.4 (47.7-100)

83.7 (76.3-90.1)

94.7 (93.6-95.6)

14.5 (0–33.6)

77.7 (69.8-85.3)

87.8 (84.8-90.3)

Fixed-time

 

0.5

7.3 (0–21.9)

64.6 (57.2-71.3)

87.6 (78.3-95.7)

70.4 (65.6-75.3)

93.9 (93.0-94.8)

0.4 (0–5.2)

66.3 (60.9-71.8)

88.5 (86.7-90.1)

 

1

0.7 (0–10.2)

71.6 (62.8-80.3)

90.8 (80.8-100)

76.5 (70.1-82.4)

92.2 (91.0-93.3)

4.1 (0–16.0)

67.0 (60.4-73.2)

87.4 (85.4-89.5)

 

2

 

62.7 (49.6-75.6)

90.8 (77.9-100)

76.6 (68.5-84.2)

88.2 (86.3-89.8)

 

61.8 (53.2-68.9)

82.5 (79.6-85.5)

  

3

 

50.4 (35.0-66.0)

95.0 (83.7-100)

73.0 (62.9-81.8)

85.0 (82.8-87.3)

 

46.9 (37.5-56.5)

80.8 (76.6-84.5)