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Table 3 Area under ROC curve

From: Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction

Mass ‐ normal tissue
Depending on the origin of mammograms
Scanner SVM classifier NN classifier
HOWTEK 960 0.901 0.872
HOWTEK MultiRAD 850 0.900 0.873
DBA M2100 0.873 0.782
LUMISYS 0.879 0.864
Overall results 0.937 0.925
  1. This table shows the results obtained over the different test subsets (considering all the prototypes to form the learning set, or considering only the prototypes from one scanner to form the learning set), as area under the ROC curve (AUC)