diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/LogisticRegressionExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/LogisticRegressionExample.scala
index 8559930493bfd..b12f833ce94c8 100644
--- a/examples/src/main/scala/org/apache/spark/examples/ml/LogisticRegressionExample.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/ml/LogisticRegressionExample.scala
@@ -135,7 +135,6 @@ object LogisticRegressionExample {
       .setElasticNetParam(params.elasticNetParam)
       .setMaxIter(params.maxIter)
       .setTol(params.tol)
-      .setMaxIter(params.maxIter)
 
     stages += lor
     val pipeline = new Pipeline().setStages(stages.toArray)
diff --git a/mllib/src/test/scala/org/apache/spark/ml/param/ParamsSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/param/ParamsSuite.scala
index f80e7749098a5..350cc81ba699e 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/param/ParamsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/param/ParamsSuite.scala
@@ -27,7 +27,7 @@ class ParamsSuite extends SparkFunSuite {
     import solver.{maxIter, inputCol}
 
     assert(maxIter.name === "maxIter")
-    assert(maxIter.doc === "max number of iterations (>= 0)")
+    assert(maxIter.doc === "maximum number of iterations (>= 0)")
     assert(maxIter.parent === uid)
     assert(maxIter.toString === s"${uid}__maxIter")
     assert(!maxIter.isValid(-1))