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Sensitivity index information


Figure 1: Bayes-optimal classification error probability and Bayes discriminability index between two univariate histograms computed from their overlap area. Figure 2: Same computed from the overlap volume of two bivariate histograms. Figure 3: discriminability indices of two univariate normal distributions with unequal variances. The classification boundary is in black. Figure 4: discriminability indices of two bivariate normal distributions with unequal covariance matrices (ellipses are 1 sd error ellipses). Color-bar shows the relative contribution to the discriminability by each dimension. These are computed by numerical methods[1].

The sensitivity index or discriminability index or detectability index is a dimensionless statistic used in signal detection theory. A higher index indicates that the signal can be more readily detected.

  1. ^ Das, Abhranil; Wilson S Geisler (2020). "Methods to integrate multinormals and compute classification measures". arXiv:2012.14331 [stat.ML].

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also be computed from sensitivity, specificity, and the prevalence of the condition: PPV = sensitivity × prevalence sensitivity × prevalence + ( 1 − specificity...

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Semiparametric regression Semivariance Sensitivity (tests) Sensitivity analysis Sensitivity and specificity Sensitivity index Separation test Sequential analysis...

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possible but should not be presumed. For such patients, the anxiety sensitivity index may have better predictivity for anxiety disorders, while the Beck...

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those who have greater sun sensitivity for medical reasons or from UV exposure in previous days. When the day's predicted UV index is within various numerical...

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Film speed

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Film speed is the measure of a photographic film's sensitivity to light, determined by sensitometry and measured on various numerical scales, the most...

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