[SPARK-31966][ML][TESTS][PYTHON] Increase the timeout for StreamingLo…

…gisticRegressionWithSGDTests.test_training_and_prediction

### What changes were proposed in this pull request?

This is similar with apache@64cb6f7

The test `StreamingLogisticRegressionWithSGDTests.test_training_and_prediction` seems also flaky. This PR just increases the timeout to 3 mins too. The cause is very likely the time elapsed.

See https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/123787/testReport/pyspark.mllib.tests.test_streaming_algorithms/StreamingLogisticRegressionWithSGDTests/test_training_and_prediction/

```
Traceback (most recent call last):
  File "/home/jenkins/workspace/SparkPullRequestBuilder2/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 330, in test_training_and_prediction
    eventually(condition, timeout=60.0)
  File "/home/jenkins/workspace/SparkPullRequestBuilder2/python/pyspark/testing/utils.py", line 90, in eventually
    % (timeout, lastValue))
AssertionError: Test failed due to timeout after 60 sec, with last condition returning: Latest errors: 0.67, 0.71, 0.78, 0.7, 0.75, 0.74, 0.73, 0.69, 0.62, 0.71, 0.69, 0.75, 0.72, 0.77, 0.71, 0.74, 0.76, 0.78, 0.7, 0.78, 0.8, 0.74, 0.77, 0.75, 0.76, 0.76, 0.75
```

### Why are the changes needed?

To make PR builds more stable.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Jenkins will test them out.

Closes apache#28798 from HyukjinKwon/SPARK-31966.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
(cherry picked from commit 56d4f27)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

python/pyspark/mllib/tests/test_streaming_algorithms.py

@@ -327,7 +327,7 @@ def condition():
                 return True
             return "Latest errors: " + ", ".join(map(lambda x: str(x), errors))
 
-        eventually(condition, timeout=60.0)
+        eventually(condition, timeout=180.0)
 
 
 class StreamingLinearRegressionWithTests(MLLibStreamingTestCase):