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Detection error tradeoff

Index Detection error tradeoff

A detection error tradeoff (DET) graph is a graphical plot of error rates for binary classification systems, plotting the false rejection rate vs. [1]

8 relations: Binary classification, Constant false alarm rate, Detection theory, Extended real number line, False alarm, Probit, Receiver operating characteristic, Standard normal deviate.

Binary classification

Binary or binomial classification is the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule.

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Constant false alarm rate

Constant false alarm rate (CFAR) detection refers to a common form of adaptive algorithm used in radar systems to detect target returns against a background of noise, clutter and interference.

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Detection theory

Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).

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Extended real number line

In mathematics, the affinely extended real number system is obtained from the real number system by adding two elements: and (read as positive infinity and negative infinity respectively).

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False alarm

A false alarm, also called a nuisance alarm, is the deceptive or erroneous report of an emergency, causing unnecessary panic and/or bringing resources (such as emergency services) to a place where they are not needed.

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Probit

In probability theory and statistics, the probit function is the quantile function associated with the standard normal distribution, which is commonly denoted as N(0,1).

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Receiver operating characteristic

In statistics, a receiver operating characteristic curve, i.e. ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied.

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Standard normal deviate

A standard normal deviate (or standard normal variable) is a normally distributed random variable with expected value 0 and variance 1.

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Redirects here:

DET curve, Detection Error Tradeoff.

References

[1] https://en.wikipedia.org/wiki/Detection_error_tradeoff

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