diff --git a/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala b/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala
index 7340c06b443bc..e856744565fa2 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala
@@ -176,7 +176,7 @@ class CrossValidatorModel private[ml] (
   }
 
   override def copy(extra: ParamMap): CrossValidatorModel = {
-    val copied = new CrossValidatorModel(uid, bestModel.copy(extra).asInstanceOf[Model[_]], crossValidationMetrics.clone())
+    val copied = new CrossValidatorModel(uid, bestModel.copy(extra).asInstanceOf[Model[_]], avgMetrics.clone())
     copyValues(copied, extra)
   }
 }
diff --git a/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala b/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
index c5fe562b3df75..a7a530e2dbcd4 100644
--- a/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/ml/tuning/CrossValidatorSuite.scala
@@ -56,7 +56,11 @@ class CrossValidatorSuite extends SparkFunSuite with MLlibTestSparkContext {
     val parent = cvModel.bestModel.parent.asInstanceOf[LogisticRegression]
     assert(parent.getRegParam === 0.001)
     assert(parent.getMaxIter === 10)
+<<<<<<< HEAD
     assert(cvModel.avgMetrics.length == lrParamMaps.length)
+=======
+    assert(cvModel.crossValidationMetrics.length == 4)
+>>>>>>> rebasing
   }
 
   test("validateParams should check estimatorParamMaps") {