diff --git a/aeon/classification/feature_based/_summary.py b/aeon/classification/feature_based/_summary.py
index b6e0056392..9965d9308b 100644
--- a/aeon/classification/feature_based/_summary.py
+++ b/aeon/classification/feature_based/_summary.py
@@ -24,12 +24,12 @@ class SummaryClassifier(BaseClassifier):
 
     Parameters
     ----------
-    summary_stats : ["default", "percentiles", "bowley", "tukey"], default="default"
+    summary_stats : ["default", "quantiles", "bowley", "tukey"], default="default"
         The summary statistics to compute.
         The options are as follows, with float denoting the percentile value extracted
         from the series:
             - "default": mean, std, min, max, 0.25, 0.5, 0.75
-            - "percentiles": 0.215, 0.887, 0.25, 0.5, 0.75, 0.9113, 0.9785
+            - "quantiles": 0.0215, 0.0887, 0.25, 0.5, 0.75, 0.9113, 0.9785
             - "bowley": min, max, 0.1, 0.25, 0.5, 0.75, 0.9
             - "tukey": min, max, 0.125, 0.25, 0.5, 0.75, 0.875
     estimator : sklearn classifier, default=None
diff --git a/aeon/clustering/feature_based/_summary.py b/aeon/clustering/feature_based/_summary.py
index 309d3ac92f..682852103d 100644
--- a/aeon/clustering/feature_based/_summary.py
+++ b/aeon/clustering/feature_based/_summary.py
@@ -24,12 +24,12 @@ class SummaryClusterer(BaseClusterer):
 
     Parameters
     ----------
-    summary_stats : ["default", "percentiles", "bowley", "tukey"], default="default"
+    summary_stats : ["default", "quantiles", "bowley", "tukey"], default="default"
         The summary statistics to compute.
         The options are as follows, with float denoting the percentile value extracted
         from the series:
             - "default": mean, std, min, max, 0.25, 0.5, 0.75
-            - "percentiles": 0.215, 0.887, 0.25, 0.5, 0.75, 0.9113, 0.9785
+            - "quantiles": 0.0215, 0.0887, 0.25, 0.5, 0.75, 0.9113, 0.9785
             - "bowley": min, max, 0.1, 0.25, 0.5, 0.75, 0.9
             - "tukey": min, max, 0.125, 0.25, 0.5, 0.75, 0.875
     estimator : sklearn clusterer, default=None
diff --git a/aeon/regression/feature_based/_summary.py b/aeon/regression/feature_based/_summary.py
index 52f06ee8e2..4c5750562b 100644
--- a/aeon/regression/feature_based/_summary.py
+++ b/aeon/regression/feature_based/_summary.py
@@ -24,12 +24,12 @@ class SummaryRegressor(BaseRegressor):
 
     Parameters
     ----------
-    summary_stats : ["default", "percentiles", "bowley", "tukey"], default="default"
+    summary_stats : ["default", "quantiles", "bowley", "tukey"], default="default"
         The summary statistics to compute.
         The options are as follows, with float denoting the percentile value extracted
         from the series:
             - "default": mean, std, min, max, 0.25, 0.5, 0.75
-            - "percentiles": 0.215, 0.887, 0.25, 0.5, 0.75, 0.9113, 0.9785
+            - "quantiles": 0.0215, 0.0887, 0.25, 0.5, 0.75, 0.9113, 0.9785
             - "bowley": min, max, 0.1, 0.25, 0.5, 0.75, 0.9
             - "tukey": min, max, 0.125, 0.25, 0.5, 0.75, 0.875
     estimator : sklearn regressor, default=None