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# MLWordTaggerMetrics

Metrics you use to evaluate a word tagger’s performance.

```
struct MLWordTaggerMetrics
```

## Topics

### Analyzing the tagger’s performance

[`taggingError`](/documentation/CreateML/MLWordTaggerMetrics/taggingError)

The fraction of incorrectly tagged examples.

[`precisionRecall`](/documentation/CreateML/MLWordTaggerMetrics/precisionRecall)

A data table listing the precision and recall percentages for each category.

[`confusion`](/documentation/CreateML/MLWordTaggerMetrics/confusion)

A table comparing the actual and predicted labels for each tagging category.

### Handling errors

[`isValid`](/documentation/CreateML/MLWordTaggerMetrics/isValid)

A Boolean value indicating whether the metrics were calculated.

[`error`](/documentation/CreateML/MLWordTaggerMetrics/error)

The underlying error present when the metrics are invalid.

### Describing metrics

[`description`](/documentation/CreateML/MLWordTaggerMetrics/description)

A text representation of the word tagger metrics.

[`debugDescription`](/documentation/CreateML/MLWordTaggerMetrics/debugDescription)

A text representation of the word tagger metrics that’s suitable for
output during debugging.

[`playgroundDescription`](/documentation/CreateML/MLWordTaggerMetrics/playgroundDescription)

A description of the word tagger metrics shown in a playground.

[`confusionDataFrame`](/documentation/CreateML/MLWordTaggerMetrics/confusionDataFrame)

A data frame comparing the actual and predicted labels for each class.

[`precisionRecallDataFrame`](/documentation/CreateML/MLWordTaggerMetrics/precisionRecallDataFrame)

A data frame listing the precision and recall percentages for each class.


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