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. Author manuscript; available in PMC: 2017 Dec 4.
Published in final edited form as: Med Phys. 2000 Jul;27(7):1509–1522. doi: 10.1118/1.599017

Fig. 13.

Fig. 13

(a) Case 2(a) (correlated samples, no diagonalization), Az(∞) = 0.89. Feature selection from the entire sample space of 100 samples/class: The area Az under the ROC curve versus the inverse of the number of design samples Nt per class. Feature selection was performed using an input feature space of M = 100 available features. (b) Case 2(b) (correlated samples, and diagonalization), Az(∞) = 0.89. Feature selection from the entire sample space of 100 samples/class: The area Az under the ROC curve versus the inverse of the number of design samples Nt per class. Feature selection was performed using an input feature space of M = 100 available features.