Supplementary Table 4.

Selected metrics of the best logistic regression model (Supplementary Table 3: model 4).

Cut-off point	Recall	Specificity	Accuracy	Precision	NPV	FPR	FNR	Youden’s J statistic
0.998	0.033	1.000	0.477	1.000	0.468	0.000	0.967	0.033
0.995	0.050	1.000	0.486	1.000	0.472	0.000	0.950	0.050
0.993	0.067	1.000	0.495	1.000	0.477	0.000	0.933	0.067
0.984	0.083	0.980	0.495	0.833	0.476	0.020	0.917	0.064
0.976	0.100	0.980	0.505	0.857	0.481	0.020	0.900	0.080
0.975	0.117	0.980	0.514	0.875	0.485	0.020	0.883	0.097
0.972	0.133	0.980	0.523	0.889	0.490	0.020	0.867	0.114
0.953	0.133	0.961	0.514	0.800	0.485	0.039	0.867	0.094
0.937	0.150	0.961	0.523	0.818	0.490	0.039	0.850	0.111
0.922	0.183	0.961	0.541	0.846	0.500	0.039	0.817	0.144
0.913	0.200	0.961	0.550	0.857	0.505	0.039	0.800	0.161
0.903	0.217	0.961	0.559	0.867	0.510	0.039	0.783	0.177
0.901	0.233	0.961	0.568	0.875	0.516	0.039	0.767	0.194
0.871	0.250	0.961	0.577	0.882	0.521	0.039	0.750	0.211
0.864	0.267	0.961	0.586	0.889	0.527	0.039	0.733	0.227
0.861	0.283	0.961	0.595	0.895	0.533	0.039	0.717	0.244
0.852	0.300	0.961	0.604	0.900	0.538	0.039	0.700	0.261
0.837	0.317	0.961	0.613	0.905	0.544	0.039	0.683	0.277
0.833	0.333	0.961	0.622	0.909	0.551	0.039	0.667	0.294
0.827	0.350	0.961	0.631	0.913	0.557	0.039	0.650	0.311
0.819	0.367	0.961	0.640	0.917	0.563	0.039	0.633	0.327
0.817	0.400	0.961	0.658	0.923	0.576	0.039	0.600	0.361
0.801	0.417	0.961	0.667	0.926	0.583	0.039	0.583	0.377
0.792	0.417	0.941	0.658	0.893	0.578	0.059	0.583	0.358
0.79	0.417	0.922	0.649	0.862	0.573	0.078	0.583	0.338
0.778	0.433	0.922	0.658	0.867	0.580	0.078	0.567	0.355
0.768	0.450	0.922	0.667	0.871	0.588	0.078	0.550	0.372
0.759	0.467	0.922	0.676	0.875	0.595	0.078	0.533	0.388
0.742	0.483	0.922	0.685	0.879	0.603	0.078	0.517	0.405
0.734	0.500	0.902	0.685	0.857	0.605	0.098	0.500	0.402
0.718	0.517	0.902	0.694	0.861	0.613	0.098	0.483	0.419
0.714	0.533	0.902	0.703	0.865	0.622	0.098	0.467	0.435
0.710	0.550	0.902	0.712	0.868	0.630	0.098	0.450	0.452
0.707	0.567	0.902	0.721	0.872	0.639	0.098	0.433	0.469
0.702	0.583	0.902	0.730	0.875	0.648	0.098	0.417	0.485
0.669	0.583	0.882	0.721	0.854	0.643	0.118	0.417	0.466
0.662	0.583	0.863	0.712	0.833	0.638	0.137	0.417	0.446
0.65	0.583	0.843	0.703	0.814	0.632	0.157	0.417	0.426
0.645	0.600	0.843	0.712	0.818	0.642	0.157	0.400	0.443
0.636	0.617	0.843	0.721	0.822	0.652	0.157	0.383	0.460
0.634	0.633	0.843	0.730	0.826	0.662	0.157	0.367	0.476
0.632	0.650	0.843	0.739	0.830	0.672	0.157	0.350	0.493
0.629	0.650	0.824	0.730	0.813	0.667	0.176	0.350	0.474
0.624	0.650	0.804	0.721	0.796	0.661	0.196	0.350	0.454
0.604	0.650	0.784	0.712	0.780	0.656	0.216	0.350	0.434
0.593	0.650	0.765	0.703	0.765	0.650	0.235	0.350	0.415
0.585	0.650	0.745	0.694	0.750	0.644	0.255	0.350	0.395
0.564	0.667	0.745	0.703	0.755	0.655	0.255	0.333	0.412
0.551	0.683	0.745	0.712	0.759	0.667	0.255	0.317	0.428
0.538	0.700	0.745	0.721	0.764	0.679	0.255	0.300	0.445
0.531	0.700	0.725	0.712	0.750	0.673	0.275	0.300	0.425
0.521	0.700	0.706	0.703	0.737	0.667	0.294	0.300	0.406
0.513	0.717	0.706	0.712	0.741	0.679	0.294	0.283	0.423
0.512	0.717	0.667	0.694	0.717	0.667	0.333	0.283	0.383
0.508	0.733	0.667	0.703	0.721	0.680	0.333	0.267	0.400
0.501	0.733	0.647	0.694	0.710	0.673	0.353	0.267	0.380
0.498	0.750	0.647	0.703	0.714	0.688	0.353	0.250	0.397
0.487	0.767	0.647	0.712	0.719	0.702	0.353	0.233	0.414
0.480	0.767	0.627	0.703	0.708	0.696	0.373	0.233	0.394
0.477	0.767	0.608	0.694	0.697	0.689	0.392	0.233	0.375
0.466	0.767	0.588	0.685	0.687	0.682	0.412	0.233	0.355
0.45	0.783	0.588	0.694	0.691	0.698	0.412	0.217	0.372
0.426	0.783	0.569	0.685	0.681	0.690	0.431	0.217	0.352
0.418	0.800	0.569	0.694	0.686	0.707	0.431	0.200	0.369
0.417	0.800	0.549	0.685	0.676	0.700	0.451	0.200	0.349
0.405	0.817	0.549	0.694	0.681	0.718	0.451	0.183	0.366
0.402	0.833	0.549	0.703	0.685	0.737	0.451	0.167	0.382
0.394	0.833	0.529	0.694	0.676	0.730	0.471	0.167	0.363
0.363	0.833	0.510	0.685	0.667	0.722	0.490	0.167	0.343
0.361	0.833	0.490	0.676	0.658	0.714	0.510	0.167	0.324
0.347	0.833	0.471	0.667	0.649	0.706	0.529	0.167	0.304
0.342	0.850	0.471	0.676	0.654	0.727	0.529	0.150	0.321
0.34	0.850	0.451	0.667	0.646	0.719	0.549	0.150	0.301
0.332	0.867	0.451	0.676	0.650	0.742	0.549	0.133	0.318
0.320	0.867	0.431	0.667	0.642	0.733	0.569	0.133	0.298
0.311	0.883	0.431	0.676	0.646	0.759	0.569	0.117	0.315
0.309	0.883	0.412	0.667	0.639	0.750	0.588	0.117	0.295
0.296	0.883	0.392	0.658	0.631	0.741	0.608	0.117	0.275
0.286	0.883	0.373	0.649	0.624	0.731	0.627	0.117	0.256
0.281	0.883	0.353	0.640	0.616	0.720	0.647	0.117	0.236
0.279	0.883	0.333	0.631	0.609	0.708	0.667	0.117	0.217
0.276	0.883	0.314	0.622	0.602	0.696	0.686	0.117	0.197
0.272	0.883	0.294	0.613	0.596	0.682	0.706	0.117	0.177
0.262	0.883	0.275	0.604	0.589	0.667	0.725	0.117	0.158
0.244	0.883	0.255	0.595	0.582	0.650	0.745	0.117	0.138
0.237	0.883	0.235	0.586	0.576	0.632	0.765	0.117	0.119
0.229	0.883	0.216	0.577	0.570	0.611	0.784	0.117	0.099
0.228	0.883	0.196	0.568	0.564	0.588	0.804	0.117	0.079
0.22	0.900	0.196	0.577	0.568	0.625	0.804	0.100	0.096
0.216	0.917	0.196	0.586	0.573	0.667	0.804	0.083	0.113
0.213	0.917	0.176	0.577	0.567	0.643	0.824	0.083	0.093
0.206	0.917	0.157	0.568	0.561	0.615	0.843	0.083	0.074
0.199	0.917	0.137	0.559	0.556	0.583	0.863	0.083	0.054
0.181	0.933	0.137	0.568	0.560	0.636	0.863	0.067	0.071
0.18	0.933	0.118	0.559	0.554	0.600	0.882	0.067	0.051
0.173	0.950	0.118	0.568	0.559	0.667	0.882	0.050	0.068
0.157	0.950	0.098	0.559	0.553	0.625	0.902	0.050	0.048
0.154	0.967	0.098	0.568	0.558	0.714	0.902	0.033	0.065
0.112	0.967	0.078	0.559	0.552	0.667	0.922	0.033	0.045
0.110	0.967	0.059	0.550	0.547	0.600	0.941	0.033	0.025
0.076	0.967	0.039	0.541	0.542	0.500	0.961	0.033	0.006
0.07	0.967	0.020	0.532	0.537	0.333	0.980	0.033	−0.014
0.065	0.967	0.000	0.523	0.532	0.000	1.000	0.033	−0.033
0.043	0.983	0.000	0.532	0.536	0.000	1.000	0.017	−0.017
0.016	1.000	0.000	0.541	0.541		1.000	0.000	0.000

The best cut-off value and its associated metrics are colored. NPV – negative predictive value; FPR – false positive ratio, FNR – false negative ratio.