diff --git a/examples/zoo/zoo_example.ipynb b/examples/zoo/zoo_example.ipynb
index 59880dc..0366c89 100644
--- a/examples/zoo/zoo_example.ipynb
+++ b/examples/zoo/zoo_example.ipynb
@@ -78,11 +78,7 @@
     "        X, y, categorical_indicator, attribute_names = dataset.get_data(target=dataset.default_target_attribute)\n",
     "        self.attribute_names = attribute_names\n",
     "        self.target_names = y.cat.categories.tolist()\n",
-    "        print(\"Attribute names are: \", self.attribute_names)\n",
-    "        print(\"Target names are: \", self.target_names)\n",
-    "        # self.attribute_names = [\"hair\", \"feathers\", \"eggs\", \"milk\", \"airborne\", \"aquatic\", \"predator\", \"toothed\", \"backbone\", \"breathes\", \"venomous\", \"fins\", \"legs\", \"tail\", \"domestic\", \"catsize\"]\n",
-    "        # self.target_names = [\"mammal\", \"bird\", \"reptile\", \"fish\", \"amphibian\", \"insect\", \"invertebrate\"]\n",
-    "\n",
+    "        \n",
     "        # Define variables\n",
     "        for name in self.attribute_names+self.target_names:\n",
     "            exec(f\"globals()['{name}'] = Int('{name}')\") ## or use dict to create var and modify rules\n",
@@ -139,9 +135,6 @@
     "        if solver.check() == sat:\n",
     "            model = solver.model()\n",
     "            total_weight = model.evaluate(total_violation_weight)\n",
-    "            # violated_rules = [str(rule) for rule in self.weights if model.evaluate(Not(rule))]\n",
-    "            # print(\"Total violation weight for the given data point:\", total_weight)\n",
-    "            # print(\"Violated rules:\", violated_rules)\n",
     "            return total_weight.as_long()\n",
     "        else:\n",
     "            # No solution found\n",