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Table 1 Model averaging comparison in terms of area under the ROC curve

From: Spatial cluster detection using dynamic programming

Frequency range Coverage DP AUC SR AUC (DP-SR) 95% confidence interval limits p-value
Low < 16% 0.95047 0.95016 - 0.00746 0.00808 0.9384
  16-34% 0.86260 0.86852 - 0.01261 0.00078 0.0831
  ≥ 35% 0.97409 0.97911 - 0.01005 0.00001 0.0505
Mid < 16% 0.96019 0.96079 - 0.00530 0.00410 0.8014
  16-34% 0.98246 0.98613 - 0.00575 - 0.00159 0.0005
  ≥ 35% 1.00000 1.00000    
High < 16% 0.98468 0.98379 - 0.00173 0.00352 0.5044
  16-34% 0.99990 0.99984 - 0.00001 0.00013 0.1096
  ≥ 35% 1.00000 1.00000    
  1. Comparison of the DP and SR ROC curves obtained from model averaging. The table shows the AUC for each algorithm, the lower and upper 95% confidence limits for the difference in areas (DP-SR) and the associated p-values