diff --git a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
index eb184f1a2154..62d5eb0b4b71 100644
--- a/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
+++ b/jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
@@ -282,7 +282,7 @@ object XGBoost extends Serializable {
               s" set value $missing) when you have SparseVector or Empty vector as your feature" +
               s" format. If you didn't use Spark's VectorAssembler class to build your feature " +
               s"vector but instead did so in a way that preserves zeros in your feature vector " +
-              s"you can avoid this check by using the 'allow_non_zero_missing parameter'" +
+              s"you can avoid this check by using the 'allow_non_zero_for_missing parameter'" +
               s" (only use if you know what you are doing)")
         }
         labeledPoint
diff --git a/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala b/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala
index 75106bec42bf..9e23d81b51d1 100644
--- a/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala
+++ b/jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala
@@ -145,7 +145,7 @@ class MissingValueHandlingSuite extends FunSuite with PerTest {
     }
   }
 
-  test("specify a non-zero missing value but set allow_non_zero_missing " +
+  test("specify a non-zero missing value but set allow_non_zero_for_missing " +
     "does not stop application") {
     val spark = ss
     import spark.implicits._