diff --git a/samples/fsharp/common/AutoML/ConsoleHelper.fs b/samples/fsharp/common/AutoML/ConsoleHelper.fs
index b3da04846..800aa118f 100644
--- a/samples/fsharp/common/AutoML/ConsoleHelper.fs
+++ b/samples/fsharp/common/AutoML/ConsoleHelper.fs
@@ -37,7 +37,7 @@ let printMultiClassClassificationMetrics name (metrics : MulticlassClassificatio
     printfn "*    Metrics for %s multi-class classification model   " name
     printfn "*-----------------------------------------------------------"
     printfn "    AccuracyMacro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
-    printfn "    AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
+    printfn "    AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MicroAccuracy
     printfn "    LogLoss = %.4f, the closer to 0, the better" metrics.LogLoss
     printfn "    LogLoss for class 1 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[0]
     printfn "    LogLoss for class 2 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[1]
diff --git a/samples/fsharp/common/ConsoleHelper.fs b/samples/fsharp/common/ConsoleHelper.fs
index ff5269d1e..2717d9b3b 100644
--- a/samples/fsharp/common/ConsoleHelper.fs
+++ b/samples/fsharp/common/ConsoleHelper.fs
@@ -51,7 +51,7 @@ module ConsoleHelper =
         printfn "*    Metrics for %s multi-class classification model   " name
         printfn "*-----------------------------------------------------------"
         printfn "    AccuracyMacro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
-        printfn "    AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
+        printfn "    AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MicroAccuracy
         printfn "    LogLoss = %.4f, the closer to 0, the better" metrics.LogLoss
         printfn "    LogLoss for class 1 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[0]
         printfn "    LogLoss for class 2 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[1]