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Wolfram Language & System Documentation Center
UtilityFunction
  • See Also
    • Classify
    • Predict
    • ClassifierFunction
    • PredictorFunction
    • ClassPriors
    • IndeterminateThreshold
    • See Also
      • Classify
      • Predict
      • ClassifierFunction
      • PredictorFunction
      • ClassPriors
      • IndeterminateThreshold

UtilityFunction

is an option for Predict, Classify, and related functions that specifies the utility value to assign to each possible pairing of actual and predicted values.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Applications  
See Also
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • Classify
    • Predict
    • ClassifierFunction
    • PredictorFunction
    • ClassPriors
    • IndeterminateThreshold
    • See Also
      • Classify
      • Predict
      • ClassifierFunction
      • PredictorFunction
      • ClassPriors
      • IndeterminateThreshold

UtilityFunction

UtilityFunction

is an option for Predict, Classify, and related functions that specifies the utility value to assign to each possible pairing of actual and predicted values.

Details

  • With UtilityFunctionf, the utility value assigned to actual value va and predicted value vp is taken to be f[va,vp].
  • In the case of Classify, f is typically an association of associations, of the form <|class1<|class1u11,class2u12…|>,…|>. Here uij is the utility matrix, with i being the actual class and j the predicted class.

Examples

open all close all

Basic Examples  (2)

Train a classifier:

For a new example, the most probable class is predicted:

Set the decision utility to penalize misclassification of class "diseased":

The decision utility can be specified in the classifier:

Use a utility function that includes an Indeterminate decision possibility (independently of the option IndeterminateThreshold):

Train a predictor:

Visualize the probability density for a given example:

By default, the value with the highest probability density is predicted:

Define a utility function that penalizes the predicted value being smaller than the actual value:

Use this utility to predict the example:

The default utility function is the Dirac delta:

Applications  (1)

Load the training set and test set of the "Mushroom" dataset:

Train a classifier on a part of the training set:

Visualize the confusion matrix of the classifier on the test set:

Visualize the confusion matrix obtained when the classifier has a different value of UtilityFunction:

See Also

Classify  Predict  ClassifierFunction  PredictorFunction  ClassPriors  IndeterminateThreshold

History

Introduced in 2014 (10.0)

Wolfram Research (2014), UtilityFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/UtilityFunction.html.

Text

Wolfram Research (2014), UtilityFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/UtilityFunction.html.

CMS

Wolfram Language. 2014. "UtilityFunction." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/UtilityFunction.html.

APA

Wolfram Language. (2014). UtilityFunction. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/UtilityFunction.html

BibTeX

@misc{reference.wolfram_2025_utilityfunction, author="Wolfram Research", title="{UtilityFunction}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/UtilityFunction.html}", note=[Accessed: 01-December-2025]}

BibLaTeX

@online{reference.wolfram_2025_utilityfunction, organization={Wolfram Research}, title={UtilityFunction}, year={2014}, url={https://reference.wolfram.com/language/ref/UtilityFunction.html}, note=[Accessed: 01-December-2025]}

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