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

In [ml-guide](https://spark.apache.org/docs/latest/ml-guide.html#example-model-selection-via-cross-validation), there is invalid reference to `MulticlassClassificationEvaluator` apidoc.

https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.ml.evaluation.MultiClassClassificationEvaluator

Author: Lewuathe <lewuathe@me.com>

Closes #10996 from Lewuathe/fix-typo-in-ml-guide.

1 files changed, 1 insertions, 1 deletions

diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index 5aafd53b58..f8279262e6 100644
--- a/docs/ml-guide.md
+++ b/docs/ml-guide.md
@@ -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.