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. 2014 Mar 7;9(3):e91249. doi: 10.1371/journal.pone.0091249

Table 1. Improvements in prediction performances when new markers, Inline graphic, are added to a baseline model (Inline graphic), respectively.

Performance Measure
AUC Gini Pietra sBrier
Model
 B 0.822 0.644 0.485 0.306
 B+M 1 0.841 0.683 0.521 0.344
 B+M 2 0.844 0.687 0.568 0.363
Absolute (Relative) Improvement
from B to B+M 1 +0.019 (+2.3%) +0.039 (+6.1%) +0.036 (+7.4%) +0.038 (+12.4%)
from B to B+M 2 +0.022 (+2.7%) +0.043 (+6.7%) +0.083 (+17.1%) +0.057 (+18.6%)

The discrimination power of Inline graphic is independent of the baseline score, whereas that of Inline graphic is concentrated in the gray zone of the baseline model.