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. 2013 Jun 25;14:206. doi: 10.1186/1471-2105-14-206

Table 3.

Specificity and sensitivity (%) of HBV and HCV immunoassay outcome prediction after decision tree ensemble analyses

(a) Measure Raw Scale Log Scale-log
HBSA specificity
53.91
54.46
54.41
54.41
HBSA sensitivity
62.22
59.82
59.82
59.82
HepC specificity
57.75
57.65
57.77
57.66
HepC sensitivity
63.19
63.45
63.08
63.31
(b) Measure
Raw
Scale
Log
Scale-log
HBSA specificity
68.57
68.82
68.80
68.57
HBSA sensitivity
46.83
46.91
46.83
46.83
HepC specificity
58.87
58.91
58.88
58.87
HepC sensitivity
63.40
63.34
63.34
63.37
(c) Measure
Raw
Scale
Log
Scale-log
HBSA specificity
54.45
54.59
45.74
45.74
HBSA sensitivity
61.43
61.43
70.20
70.20
HepC specificity
35.04
34.87
36.90
36.88
HepC sensitivity 80.37 80.84 76.53 76.53

Methods employed were (a) basic multiple, (b) majority multiple and (c) clear negative analyses (see Methods). Prior to accuracy analysis, explanatory variables were subject to one of four pre-processing methods: none (raw), scaling, logging and scale-logging. Scaling sets the range of each explanatory variable to a common range of 0 – 100. Logging uses natural logarithm transformation. Scale-logging uses a common range of 0 – 100 then takes the natural logarithm.