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Table 3 Results of discrimination tests for the models of heifer conception

From: The creation and evaluation of a model to simulate the probability of conception in seasonal-calving pasture-based dairy heifers

Model

LR

GAM

MLR

Standard 50% threshold (%)

 Sensitivity

97.20

100.00

99.14

 Specificity

6.77

0.00

8.27

 PPV

78.43

77.72

79.04

 NPV

40.91

0.00

73.33

 Accuracy

77.05

77.72

78.89

 Matthews correlation coefficient

0.09

0.00

0.20

Optimal thresholds (%)

35.12

60.47

52.63

 Sensitivity

99.78

99.57

98.71

 Specificity

0.00

5.26

10.53

 PPV

77.68

78.57

79.38

 NPV

0.00

77.78

70.00

 Accuracy

77.55

78.56

79.06

 Matthews correlation coefficient

−0.02

0.17

0.21

AUC

0.66

0.64

0.71

  1. Legend: LR logistic regression model, GAM generalised additive model, MLR mixed logistic regression model, PPV positive predictive value, NPV negative predictive value, AUC area under the ROC curve