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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