[SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

### What changes were proposed in this pull request?
Update ml-guide to include ```MulticlassClassificationEvaluator``` weight support in highlights

### Why are the changes needed?
```MulticlassClassificationEvaluator``` weight support is very important, so should include it in highlights

### Does this PR introduce any user-facing change?
Yes

after:
![image](https://user-images.githubusercontent.com/13592258/77614952-6ccd8680-6eeb-11ea-9354-fa20004132df.png)

### How was this patch tested?
manually build and check

Closes apache#28031 from huaxingao/highlights-followup.

Authored-by: Huaxin Gao <[email protected]>
Signed-off-by: zhengruifeng <[email protected]>
(cherry picked from commit ee6f899)
Signed-off-by: zhengruifeng <[email protected]>

Author: huaxingao

docs/ml-guide.md

@@ -91,10 +91,10 @@ The list below highlights some of the new features and enhancements added to MLl
 release of Spark:
 
 * Multiple columns support was added to `Binarizer` ([SPARK-23578](https://issues.apache.org/jira/browse/SPARK-23578)), `StringIndexer` ([SPARK-11215](https://issues.apache.org/jira/browse/SPARK-11215)), `StopWordsRemover` ([SPARK-29808](https://issues.apache.org/jira/browse/SPARK-29808)) and PySpark `QuantileDiscretizer` ([SPARK-22796](https://issues.apache.org/jira/browse/SPARK-22796)).
-* Support Tree-Based Feature Transformation was added
+* Tree-Based Feature Transformation was added
 ([SPARK-13677](https://issues.apache.org/jira/browse/SPARK-13677)).
 * Two new evaluators `MultilabelClassificationEvaluator` ([SPARK-16692](https://issues.apache.org/jira/browse/SPARK-16692)) and `RankingEvaluator` ([SPARK-28045](https://issues.apache.org/jira/browse/SPARK-28045)) were added.
-* Sample weights support was added in `DecisionTreeClassifier/Regressor` ([SPARK-19591](https://issues.apache.org/jira/browse/SPARK-19591)), `RandomForestClassifier/Regressor` ([SPARK-9478](https://issues.apache.org/jira/browse/SPARK-9478)), `GBTClassifier/Regressor` ([SPARK-9612](https://issues.apache.org/jira/browse/SPARK-9612)),  `RegressionEvaluator` ([SPARK-24102](https://issues.apache.org/jira/browse/SPARK-24102)), `BinaryClassificationEvaluator` ([SPARK-24103](https://issues.apache.org/jira/browse/SPARK-24103)), `BisectingKMeans` ([SPARK-30351](https://issues.apache.org/jira/browse/SPARK-30351)), `KMeans` ([SPARK-29967](https://issues.apache.org/jira/browse/SPARK-29967)) and `GaussianMixture` ([SPARK-30102](https://issues.apache.org/jira/browse/SPARK-30102)).
+* Sample weights support was added in `DecisionTreeClassifier/Regressor` ([SPARK-19591](https://issues.apache.org/jira/browse/SPARK-19591)), `RandomForestClassifier/Regressor` ([SPARK-9478](https://issues.apache.org/jira/browse/SPARK-9478)), `GBTClassifier/Regressor` ([SPARK-9612](https://issues.apache.org/jira/browse/SPARK-9612)),  `MulticlassClassificationEvaluator` ([SPARK-24101](https://issues.apache.org/jira/browse/SPARK-24101)), `RegressionEvaluator` ([SPARK-24102](https://issues.apache.org/jira/browse/SPARK-24102)), `BinaryClassificationEvaluator` ([SPARK-24103](https://issues.apache.org/jira/browse/SPARK-24103)), `BisectingKMeans` ([SPARK-30351](https://issues.apache.org/jira/browse/SPARK-30351)), `KMeans` ([SPARK-29967](https://issues.apache.org/jira/browse/SPARK-29967)) and `GaussianMixture` ([SPARK-30102](https://issues.apache.org/jira/browse/SPARK-30102)).
 * R API for `PowerIterationClustering` was added
 ([SPARK-19827](https://issues.apache.org/jira/browse/SPARK-19827)).
 * Added Spark ML listener for tracking ML pipeline status
@@ -105,10 +105,10 @@ release of Spark:
 ([SPARK-28399](https://issues.apache.org/jira/browse/SPARK-28399)).
 * [`Factorization Machines`](ml-classification-regression.html#factorization-machines) classifier and regressor were added
 ([SPARK-29224](https://issues.apache.org/jira/browse/SPARK-29224)).
-* Gaussian Naive Bayes ([SPARK-16872](https://issues.apache.org/jira/browse/SPARK-16872)) and Complement Naive Bayes ([SPARK-29942](https://issues.apache.org/jira/browse/SPARK-29942)) were added.
+* Gaussian Naive Bayes Classifier ([SPARK-16872](https://issues.apache.org/jira/browse/SPARK-16872)) and Complement Naive Bayes Classifier ([SPARK-29942](https://issues.apache.org/jira/browse/SPARK-29942)) were added.
 * ML function parity between Scala and Python
 ([SPARK-28958](https://issues.apache.org/jira/browse/SPARK-28958)).
-* `predictRaw` is made public in all the Classification models. `predictProbability` is made public in all the Classification models except `LinearSVCModel`.
+* `predictRaw` is made public in all the Classification models. `predictProbability` is made public in all the Classification models except `LinearSVCModel`
 ([SPARK-30358](https://issues.apache.org/jira/browse/SPARK-30358)).
 
 # Migration Guide