diff --git a/results/best_results_accuracy_AdaBoostStree.json b/results/best_results_accuracy_AdaBoostStree.json
new file mode 100644
index 0000000..e8dd383
--- /dev/null
+++ b/results/best_results_accuracy_AdaBoostStree.json
@@ -0,0 +1,491 @@
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+}
diff --git a/src/Models.py b/src/Models.py
index 5b12155..ef5ab72 100644
--- a/src/Models.py
+++ b/src/Models.py
@@ -1,6 +1,10 @@
 from statistics import mean
 from sklearn.tree import DecisionTreeClassifier, ExtraTreeClassifier
-from sklearn.ensemble import RandomForestClassifier, BaggingClassifier
+from sklearn.ensemble import (
+    RandomForestClassifier,
+    BaggingClassifier,
+    AdaBoostClassifier,
+)
 from sklearn.svm import SVC
 from stree import Stree
 from wodt import Wodt
@@ -28,6 +32,9 @@ class Models:
         if name == "BaggingWodt":
             clf = Wodt(random_state=random_state)
             return BaggingClassifier(base_estimator=clf)
+        if name == "AdaBoostStree":
+            clf = Stree(random_state=random_state)
+            return AdaBoostClassifier(base_estimator=clf)
         if name == "RandomForest":
             return RandomForestClassifier()
         msg = f"No model recognized {name}"
@@ -47,7 +54,7 @@ class Models:
             nodes = 0
             leaves = result.get_n_leaves()
             depth = 0
-        elif name.startswith("Bagging"):
+        elif name.startswith("Bagging") or name.startswith("AdaBoost"):
             if hasattr(result.base_estimator_, "nodes_leaves"):
                 nodes, leaves = list(
                     zip(*[x.nodes_leaves() for x in result.estimators_])