diff --git a/aeon/anomaly_detection/series/distance_based/_rockad.py b/aeon/anomaly_detection/series/distance_based/_rockad.py
index c83072a7f8..62a90b5183 100644
--- a/aeon/anomaly_detection/series/distance_based/_rockad.py
+++ b/aeon/anomaly_detection/series/distance_based/_rockad.py
@@ -85,7 +85,7 @@ class ROCKAD(BaseSeriesAnomalyDetector):
     >>> detector.fit(X_train)
     ROCKAD(...)
     >>> detector.predict(X_test)
-    array([0.        , 0.00554713, 0.0699094 , 0.22881059, 0.32382585,
+    array([0.        , 0.00554713, 0.06990941, 0.22881059, 0.32382585,
            0.43652154, 0.43652154, 0.43652154, 0.43652154, 0.43652154,
            0.43652154, 0.43652154, 0.43652154, 0.43652154, 0.43652154,
            0.52382585, 0.65200875, 0.80313368, 0.85194345, 1.        ])
diff --git a/aeon/clustering/tests/test_k_shape.py b/aeon/clustering/tests/test_k_shape.py
index 8af9743004..32c11beba8 100644
--- a/aeon/clustering/tests/test_k_shape.py
+++ b/aeon/clustering/tests/test_k_shape.py
@@ -7,13 +7,13 @@
 from aeon.datasets import load_basic_motions
 from aeon.utils.validation._dependencies import _check_estimator_deps
 
-expected_results = [2, 2, 2, 0, 0]
+expected_results = [1, 1, 1, 2, 2]
 
-inertia = 0.5645477840468736
+inertia = 0.5753409783429747
 
-expected_iters = 2
+expected_iters = 4
 
-expected_labels = [0, 2, 1, 1, 1]
+expected_labels = [2, 1, 0, 2, 2]
 
 
 @pytest.mark.skipif(
diff --git a/pyproject.toml b/pyproject.toml
index 98102b9bc9..7a0fa0ae44 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -72,7 +72,7 @@ all_extras = [
     "keras>=3.6.0; python_version < '3.13'",
     "torch>=1.13.1",
     "tsfresh>=0.20.0",
-    "tslearn>=0.5.2,<0.7.0",
+    "tslearn>=0.5.2",
 ]
 dl = [
     "tensorflow>=2.14; python_version < '3.13'",