Skip to main content

Table 3 Overview of the kappa (with 95% CI), accuracy, specificity, sensitivity and area under the curve (AUC) per model, with the default cut-off value (0.5)

From: Prediction of lameness using automatically recorded activity, behavior and production data in post-parturient Irish dairy cows

Model

Kappa [95% CI]

Accuracy

Specificity

Sensitivity

AUC

1

0.14 [0.09–0.19]

57%

60%

53%

0.61

2

0.53 [0.48–0.57]

75%

74%

77%

0.81

3

0.55 [0.51–0.59]

76%

76%

76%

0.84

4

0.58 [0.54–0.62]

78%

78%

78%

0.85

  1. The first model consisted of MooMonitor + behavioral metrics. The second model contained data on lactation and DIM, the third model added the behavioral metrics to that, and the fourth model added live weight and production data on top of the data of the third model