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# MLTextClassifier.ModelAlgorithmType

The type of algorithm that a text classifier uses.

```
enum ModelAlgorithmType
```

## Overview

Typically, `maxEnt` is the fastest training algorithm.
If the text classifier’s performance isn’t good enough, consider the `transferLearning` algorithm.

## Topics

### Selecting an algorithm type

[`MLTextClassifier.ModelAlgorithmType.crf(revision:)`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/crf(revision:))

A text classification algorithm that uses a statistical model of transition probabilities between words.

[`MLTextClassifier.ModelAlgorithmType.maxEnt(revision:)`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/maxEnt(revision:))

A text classification algorithm that uses multinomial logistic regression based on the frequencies of words, independent of context.

[`MLTextClassifier.ModelAlgorithmType.transferLearning(_:revision:)`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/transferLearning(_:revision:))

A text classification algorithm that uses transfer learning by leveraging a feature extractor to generate embeddings.

[`MLTextClassifier.FeatureExtractorType`](/documentation/CreateML/MLTextClassifier/FeatureExtractorType)

The text feature extractor type.

### Describing an algorithm type

[`description`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/description)

A text representation of the algorithm type.

[`debugDescription`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/debugDescription)

A text representation of the algorithm type that’s suitable for output
during debugging.

[`playgroundDescription`](/documentation/CreateML/MLTextClassifier/ModelAlgorithmType/playgroundDescription)

A description of the algorithm type shown in a playground.


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