small changes for PR

Author: michaelgsharp

test/Microsoft.ML.Benchmarks/RffTransform.cs

@@ -47,7 +47,7 @@ public void CV_Multiclass_Digits_RffTransform_OVAAveragedPerceptron()
             .AppendCacheCheckpoint(mlContext)
             .Append(mlContext.Transforms.Concatenate("Features", "FeaturesRFF"))
             .Append(new ValueToKeyMappingEstimator(mlContext, "Label"))
-            .Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(mlContext.BinaryClassification.Trainers.AveragedPerceptron(numberOfIterations: 10)));
+            .Append(mlContext.MulticlassClassification.Trainers.OneVersusAll(mlContext.BinaryClassification.Trainers.AveragedPerceptron(numberOfIterations: 10), useProbabilities: false));
 
             var cvResults = mlContext.MulticlassClassification.CrossValidate(data, pipeline, numberOfFolds: 5);
         }

test/Microsoft.ML.Predictor.Tests/TestPredictors.cs

@@ -220,9 +220,9 @@ public void MulticlassCVTest()
         [TestCategory("Multiclass")]
         public void MulticlassReductionTest()
         {
-            RunOneAllTests(TestLearners.Ova, TestDatasets.iris, digitsOfPrecision: 6);
-            RunOneAllTests(TestLearners.OvaWithFastForest, TestDatasets.iris, digitsOfPrecision: 6);
-            RunOneAllTests(TestLearners.Pkpd, TestDatasets.iris, digitsOfPrecision: 6);
+            RunOneAllTests(TestLearners.Ova, TestDatasets.iris, digitsOfPrecision: 5);
+            RunOneAllTests(TestLearners.OvaWithFastForest, TestDatasets.iris, digitsOfPrecision: 5);
+            RunOneAllTests(TestLearners.Pkpd, TestDatasets.iris, digitsOfPrecision: 5);
 
             Done();
         }