# Wolfram Language & System 10.0 (2014)|Legacy Documentation

This is documentation for an earlier version of the Wolfram Language.
BUILT-IN WOLFRAM LANGUAGE SYMBOL

# ClassifierFunction

represents a function generated by Classify that classifies data into classes.

## DetailsDetails

• ClassifierFunction works like Function.
• ClassifierFunction[][data] attempts to classify data, returning the class in which data is considered most likely to be.
• ClassifierFunction[][{data1,data2,}] attempts to classify all the .
• ClassifierFunction[][data,prop] gives the specified property of the classification associated with data.
• Possible properties applicable to all methods include:
•  "TopProbabilities" probabilities for most likely classes {"TopProbabilities",n} probabilities for the n most likely classes {"Probability",class} probability for a specific class "Probabilities" association of probabilities for all possible classes
• ClassifierFunction[][data,,opts] specifies that the classifier should use the options opts when applied to data.
• Possible options are:
•  ClassPriors Automatic explicit prior probabilities for classes IndeterminateThreshold Automatic below what probability to return Indeterminate UtilityFunction Automatic utility expressed as a function of actual and predicted class

## ExamplesExamplesopen allclose all

### Basic Examples  (2)Basic Examples  (2)

Create a ClassifierFunction with Classify and a list of labeled examples:

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Classify an unlabeled example with the ClassifierFunction:

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Classify multiple examples:

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Return the probabilities of the classes given the feature of an example:

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Return the sorted probabilities of the most likely classes:

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Return the probability of the most probable class:

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Return the probability of a given class:

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Plot the probability of class as a function of the feature:

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Generate a ClassifierFunction using multiple features:

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Use the function on a new example:

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Classify an example that has missing features:

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Get the probabilities for the most probable classes:

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