diff --git a/CHANGELOG.md b/CHANGELOG.md
index d137eae9..7a099175 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,8 +2,8 @@
 
 ### v1.0.1 (2024-06-05)
 
-- add `max_order=1` to `TabularExplainer`
--
+- add `max_order=1` to `TabularExplainer` and `TreeExplainer`
+- fix `TreeExplainer.explain_X(..., njobs=2, random_state=0)`
 
 ### v1.0.0 (2024-06-04)
 
diff --git a/shapiq/__init__.py b/shapiq/__init__.py
index b6495626..be97dde5 100644
--- a/shapiq/__init__.py
+++ b/shapiq/__init__.py
@@ -2,7 +2,7 @@
 the well established Shapley value and its generalization to interaction.
 """
 
-__version__ = "1.0.0.9000"
+__version__ = "1.0.1"
 
 # approximator classes
 from .approximator import (
diff --git a/shapiq/explainer/_base.py b/shapiq/explainer/_base.py
index 3ca7c26d..a8b26acb 100644
--- a/shapiq/explainer/_base.py
+++ b/shapiq/explainer/_base.py
@@ -73,9 +73,12 @@ def explain_X(
         """
         assert len(X.shape) == 2
         if random_state is not None:
-            self._imputer._rng = np.random.default_rng(random_state)
-            self._approximator._rng = np.random.default_rng(random_state)
-            self._approximator._sampler._rng = np.random.default_rng(random_state)
+            if hasattr(self, "_imputer"):
+                self._imputer._rng = np.random.default_rng(random_state)
+            if hasattr(self, "_approximator"):
+                self._approximator._rng = np.random.default_rng(random_state)
+                if hasattr(self._approximator, "_sampler"):
+                    self._approximator._sampler._rng = np.random.default_rng(random_state)
         if n_jobs:
             import joblib
 
diff --git a/shapiq/explainer/tree/explainer.py b/shapiq/explainer/tree/explainer.py
index 7fdd61da..836e3fc4 100644
--- a/shapiq/explainer/tree/explainer.py
+++ b/shapiq/explainer/tree/explainer.py
@@ -32,7 +32,7 @@ class TreeExplainer(Explainer):
             interaction values up to that order. Defaults to ``2``.
         min_order: The minimum interaction order to be computed. Defaults to ``1``.
         index: The type of interaction to be computed. It can be one of
-            ``["k-SII", "SII", "STII", "FSII", "BII"]``. All indices apart from ``"BII"`` will
+            ``["k-SII", "SII", "STII", "FSII", "BII", "SV"]``. All indices apart from ``"BII"`` will
             reduce to the ``"SV"`` (Shapley value) for order 1. Defaults to ``"k-SII"``.
         class_label: The class label of the model to explain.
     """
@@ -52,6 +52,9 @@ def __init__(
         if index == "SV" and max_order > 1:
             warnings.warn("For index='SV' the max_order is set to 1.")
             max_order = 1
+        elif max_order == 1 and index != "SV":
+            warnings.warn("For max_order=1 the index is set to 'SV'.")
+            index = "SV"
 
         # validate and parse model
         validated_model = validate_tree_model(model, class_label=class_label)