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Table 1.

AUC values and 95% bootstrap confidence intervals for classification using different feature sets

Feature SetAUC
Selected classification features 0.671 (0.581–0.756) 
Combined classification and regression features 0.689 (0.601–0.774) 
Top classification and regression features 0.715 (0.625–0.800) 
Feature SetAUC
Selected classification features 0.671 (0.581–0.756) 
Combined classification and regression features 0.689 (0.601–0.774) 
Top classification and regression features 0.715 (0.625–0.800) 
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