diff --git a/aeon/classification/deep_learning/_fcn.py b/aeon/classification/deep_learning/_fcn.py
index 764d60c29a..262302ead0 100644
--- a/aeon/classification/deep_learning/_fcn.py
+++ b/aeon/classification/deep_learning/_fcn.py
@@ -42,7 +42,7 @@ class FCNClassifier(BaseDeepClassifier):
         The number of epochs to train the model.
     batch_size : int, default = 16
         The number of samples per gradient update.
-    use_mini_batch_size : bool, default = True
+    use_mini_batch_size : bool, default = False
         Whether or not to use the mini batch size formula.
     random_state : int or None, default = None
         Seed for random number generation.
@@ -117,7 +117,7 @@ def __init__(
         last_file_name="last_model",
         n_epochs=2000,
         batch_size=16,
-        use_mini_batch_size=True,
+        use_mini_batch_size=False,
         callbacks=None,
         verbose=False,
         loss="categorical_crossentropy",
diff --git a/aeon/regression/deep_learning/_fcn.py b/aeon/regression/deep_learning/_fcn.py
index 291d8ba882..343564e130 100644
--- a/aeon/regression/deep_learning/_fcn.py
+++ b/aeon/regression/deep_learning/_fcn.py
@@ -42,7 +42,7 @@ class FCNRegressor(BaseDeepRegressor):
         the number of epochs to train the model
     batch_size      : int, default = 16
         the number of samples per gradient update.
-    use_mini_batch_size : bool, default = True,
+    use_mini_batch_size : bool, default = False,
         whether or not to use the mini batch size formula
     random_state    : int or None, default=None
         Seed for random number generation.
@@ -120,7 +120,7 @@ def __init__(
         last_file_name="last_model",
         n_epochs=2000,
         batch_size=16,
-        use_mini_batch_size=True,
+        use_mini_batch_size=False,
         callbacks=None,
         verbose=False,
         output_activation="linear",