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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