page_title: Detection error tradeoff
hierarchical_section_title: Detection error tradeoff
caption_attribution_description: English: For comparison with the DET curves, the same two classifier methods compared. The region of interest is a very narrow sliver along the y-axis and the top left corner.
context_page_description: A detection error tradeoff graph is a graphical plot of error rates for binary classification systems, plotting the false rejection rate vs. false acceptance rate. The x- and y-axes are scaled non-linearly by their standard normal deviates, yielding tradeoff curves that are more linear than ROC curves, and use most of the image area to highlight the differences of importance in the critical operating region.
context_section_description: A detection error tradeoff (DET) graph is a graphical plot of error rates for binary classification systems, plotting the false rejection rate vs. false acceptance rate. The x- and y-axes are scaled non-linearly by their standard normal deviates (or just by logarithmic transformation), yielding tradeoff curves that are more linear than ROC curves, and use most of the image area to highlight the differences of importance in the critical operating region.
caption: The same two classifiers compared via traditional ROC curves.
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