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Intelligent Engineering Systems through Artificial Neural Networks, Volume 16

Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

The Receiver Operating Characteristic (ROC) curve can be thought of as a projection of a 3 dimensional trajectory through some True positive, False positive, and decision threshold space onto the True positive, False positive plane. Using this frame of reference, Alsing, et a1. (2002) developed a metric for the comparison of classifiers. It was shown that this metric appears to capture information concerning the robustness of a classifier. In this paper we investigate further the notions proposed in Alsing et al. relative to the robustness of total classification accuracy at a point of interest. Investigations are conducted with the application of several common classification methods on binary classification problems using breast cancer data from the University of Wisconsin.

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