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Abstract: Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with false positives and false negatives. For linear classifiers, the set of classifiers is typically obtained by training once, holding constant the estimated slope and then varying the intercept to obtain a parameterized set of classifiers whose performances can be plotted in the ROC plane. In this paper, we... (Update)
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BibTeX entry: (Update)
@misc{ asymmetry-path,
author = "Considering Cost Asymmetry",
title = "On the Path to an Ideal ROC Curve:",
url = "citeseer.ist.psu.edu/735123.html" }
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