diff --git a/smarttree/_classes.py b/smarttree/_classes.py
index 57f61be..2bbcde6 100644
--- a/smarttree/_classes.py
+++ b/smarttree/_classes.py
@@ -193,10 +193,16 @@ def tree_(self) -> Tree:
         assert self._tree is not None
         return self._tree
 
+    def get_n_leaves(self) -> int:
+        return self.tree_.leaf_counter
+
+    def get_depth(self) -> int:
+        return self.tree_.max_depth
+
     @property
     def feature_importances_(self) -> dict[str, float]:
         self._check_is_fitted()
-        return self.tree_.feature_importances
+        return self.tree_.compute_feature_importances()
 
     @abstractmethod
     def fit(self, X: pd.DataFrame, y: pd.Series) -> Self:
diff --git a/smarttree/_tree.py b/smarttree/_tree.py
index d2bd847..00631e3 100644
--- a/smarttree/_tree.py
+++ b/smarttree/_tree.py
@@ -103,3 +103,16 @@ def create_node(
             self.root = node
 
         return node
+
+    def compute_feature_importances(self) -> dict[str, float]:
+
+        amount = 0.0
+        for importance in self.feature_importances.values():
+            amount += importance
+
+        normalized_feature_importances = dict()
+        for feature, importance in self.feature_importances.items():
+            normalized_feature_importances[feature] = importance / amount
+
+        return normalized_feature_importances
+
diff --git a/tests/decision_tree/classifier/test__classifier_not_fitted.py b/tests/decision_tree/classifier/test__classifier_not_fitted.py
index 494fcbb..9e09fbf 100644
--- a/tests/decision_tree/classifier/test__classifier_not_fitted.py
+++ b/tests/decision_tree/classifier/test__classifier_not_fitted.py
@@ -32,5 +32,4 @@ def test__not_fitted__method(not_fitted_tree, X, y, method_call):
 )
 def test__not_fitted__property(not_fitted_tree, property_name):
     with pytest.raises(NotFittedError):
-        property_ = getattr(not_fitted_tree, property_name)
-        _ = property_
+        getattr(not_fitted_tree, property_name)