Model | AUC | Sensitivity | Specificity | PPV | NPV | Kappa |
---|---|---|---|---|---|---|
Training set | Â | Â | Â | Â | Â | Â |
Model1 | 0.775(0.756–0.793) | 0.792(0.777–0.808) | 0.637(0.604–0.670) | 0.483(0.453–0.513) | 0.877(0.864–0.890) | 0.386(0.353–0.420) |
Model2 | 0.761(0.742–0.780) | 0.706(0.689–0.723) | 0.694(0.662–0.725) | 0.418(0.392–0.444) | 0.883(0.870–0.897) | 0.325(0.294–0.356) |
Internal validation set | Â | Â | Â | Â | Â | Â |
Model1 | 0.784(0.756–0.811) | 0.632(0.582–0.683) | 0.790(0.767–0.814) | 0.476(0.431–0.522) | 0.878(0.858–0.898) | 0.378(0.327–0.429) |
External validation set | Â | Â | Â | Â | Â | Â |
Model1 | 0.795(0.764–0.826) | 0.627(0.569–0.685) | 0.831(0.807–0.854) | 0.506(0.452–0.560) | 0.889(0.869–0.910) | 0.421(0.363–0.479) |