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Table 5 AUC results for Train_Test

From: The effects of class rarity on the evaluation of supervised healthcare fraud detection models

Learner Ratio 200 400 1000 All
(a) Part B
GBT [Full] 0.77604 0.78207 0.79080 0.78636
[1:99] 0.78453 0.79440 0.80158 0.79523
[10:90] 0.78575 0.79954 0.81324 0.81566
[25:75] 0.75562 0.78570 0.80824 0.81476
[35:65] 0.74548 0.78412 0.80523 0.81057
[50:50] 0.72767 0.76659 0.79002 0.80626
LR [Full] 0.80406 0.81686 0.82063 0.82133
[1:99] 0.80803 0.82062 0.82441 0.82542
[10:90] 0.80501 0.81933 0.82601 0.82901
[25:75] 0.79251 0.82101 0.82347 0.82675
[35:65] 0.77845 0.81197 0.82049 0.82768
[50:50] 0.76491 0.80030 0.81863 0.82109
RF [Full] 0.70754 0.73765 0.75130 0.75725
[1:99] 0.73952 0.75813 0.76869 0.77081
[10:90] 0.76287 0.77653 0.78856 0.78527
[25:75] 0.75999 0.77324 0.78079 0.78683
[35:65] 0.75139 0.76720 0.77863 0.78505
[50:50] 0.74320 0.76689 0.77646 0.78136
Learner Ratio 100 200 400 All
(b) Part D
GBT [Full] 0.69437 0.70885 0.74099 0.74969
[1:99] 0.69356 0.71879 0.74821 0.76157
[10:90] 0.68142 0.70006 0.75261 0.78212
[25:75] 0.65184 0.69628 0.73418 0.77174
[35:65] 0.64126 0.67560 0.71313 0.77054
[50:50] 0.62193 0.65445 0.70517 0.74277
LR [Full] 0.74339 0.76832 0.78592 0.79566
[1:99] 0.73766 0.76943 0.78623 0.79714
[10:90] 0.72541 0.76436 0.78491 0.79858
[25:75] 0.71602 0.75240 0.77726 0.79431
[35:65] 0.69825 0.74023 0.77341 0.79031
[50:50] 0.68920 0.72922 0.75804 0.78866
RF [Full] 0.60202 0.62445 0.64317 0.69302
[1:99] 0.66243 0.68387 0.69370 0.73303
[10:90] 0.70282 0.72050 0.73803 0.77433
[25:75] 0.69181 0.71398 0.74121 0.76349
[35:65] 0.68118 0.70447 0.73372 0.75418
[50:50] 0.66406 0.68312 0.71714 0.75602
(c) DMEPOS
GBT [Full] 0.72688 0.75808 0.78221 0.78281
[1:99] 0.73083 0.75805 0.78426 0.79202
[10:90] 0.71749 0.74800 0.77617 0.79683
[25:75] 0.67911 0.73027 0.76314 0.78660
[35:65] 0.66527 0.69776 0.75773 0.77678
[50:50] 0.65155 0.66424 0.74161 0.75944
LR [Full] 0.75220 0.76024 0.77622 0.78088
[1:99] 0.74545 0.75646 0.77403 0.77819
[10:90] 0.73002 0.75079 0.76687 0.77482
[25:75] 0.70978 0.73345 0.75993 0.76963
[35:65] 0.68578 0.72187 0.75741 0.76715
[50:50] 0.67933 0.70508 0.74394 0.75723
RF [Full] 0.65576 0.71649 0.75220 0.77105
[1:99] 0.67756 0.72877 0.76250 0.78803
[10:90] 0.70214 0.73717 0.77153 0.78861
[25:75] 0.71244 0.74737 0.76301 0.78914
[35:65] 0.70956 0.72159 0.76735 0.78076
[50:50] 0.69299 0.73423 0.75302 0.77333
Learner Ratio 100 200 All  
(d) Combined
GBT [Full] 0.76056 0.78431 0.83654  
[1:99] 0.75698 0.79823 0.84513  
[10:90] 0.74038 0.79609 0.84929  
[25:75] 0.73296 0.78145 0.83126  
[35:65] 0.69390 0.77744 0.82757  
[50:50] 0.70015 0.75962 0.81149  
LR [Full] 0.81514 0.85430 0.86888  
[1:99] 0.80496 0.84899 0.86829  
[10:90] 0.76965 0.82737 0.86157  
[25:75] 0.73072 0.80287 0.84583  
[35:65] 0.71753 0.77810 0.83743  
[50:50] 0.69273 0.74712 0.81778  
RF [Full] 0.62150 0.72501 0.80122  
[1:99] 0.71805 0.78308 0.82193  
[10:90] 0.74251 0.78836 0.82896  
[25:75] 0.74442 0.77432 0.81791  
[35:65] 0.73639 0.77206 0.81273  
[50:50] 0.72878 0.76666 0.81375