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[ML][MINOR] Invalid MulticlassClassification reference in ml-guide #10996

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[ML][MINOR] Invalid MulticlassClassification reference in ml-guide #10996

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2 changes: 1 addition & 1 deletion docs/ml-guide.md
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Expand Up @@ -627,7 +627,7 @@ Currently, `spark.ml` supports model selection using the [`CrossValidator`](api/

The `Evaluator` can be a [`RegressionEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.RegressionEvaluator)
for regression problems, a [`BinaryClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.BinaryClassificationEvaluator)
for binary data, or a [`MultiClassClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.MultiClassClassificationEvaluator)
for binary data, or a [`MultiClassClassificationEvaluator`](api/scala/index.html#org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator)
for multiclass problems. The default metric used to choose the best `ParamMap` can be overriden by the `setMetricName`
method in each of these evaluators.

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