diff --git a/src/torchmetrics/classification/stat_scores.py b/src/torchmetrics/classification/stat_scores.py
index 96d797fd5d6..814b942de49 100644
--- a/src/torchmetrics/classification/stat_scores.py
+++ b/src/torchmetrics/classification/stat_scores.py
@@ -309,7 +309,7 @@ def __init__(
         self,
         num_classes: int,
         top_k: int = 1,
-        average: Optional[Literal["micro", "macro", "weighted", "none"]] = "macro",
+        average: Optional[Literal["micro", "macro", "weighted", "none"]] = "micro",
         multidim_average: Literal["global", "samplewise"] = "global",
         ignore_index: Optional[int] = None,
         validate_args: bool = True,
@@ -461,7 +461,7 @@ def __init__(
         self,
         num_labels: int,
         threshold: float = 0.5,
-        average: Optional[Literal["micro", "macro", "weighted", "none"]] = "macro",
+        average: Optional[Literal["micro", "macro", "weighted", "none"]] = "micro",
         multidim_average: Literal["global", "samplewise"] = "global",
         ignore_index: Optional[int] = None,
         validate_args: bool = True,
diff --git a/src/torchmetrics/functional/classification/accuracy.py b/src/torchmetrics/functional/classification/accuracy.py
index 2c02484924e..63293180354 100644
--- a/src/torchmetrics/functional/classification/accuracy.py
+++ b/src/torchmetrics/functional/classification/accuracy.py
@@ -167,7 +167,7 @@ def multiclass_accuracy(
     preds: Tensor,
     target: Tensor,
     num_classes: int,
-    average: Optional[Literal["micro", "macro", "weighted", "none"]] = "macro",
+    average: Optional[Literal["micro", "macro", "weighted", "none"]] = "micro",
     top_k: int = 1,
     multidim_average: Literal["global", "samplewise"] = "global",
     ignore_index: Optional[int] = None,
@@ -276,7 +276,7 @@ def multilabel_accuracy(
     target: Tensor,
     num_labels: int,
     threshold: float = 0.5,
-    average: Optional[Literal["micro", "macro", "weighted", "none"]] = "macro",
+    average: Optional[Literal["micro", "macro", "weighted", "none"]] = "micro",
     multidim_average: Literal["global", "samplewise"] = "global",
     ignore_index: Optional[int] = None,
     validate_args: bool = True,