diff --git a/dwarves/Mining_HQ.ipynb b/dwarves/Mining_HQ.ipynb
index b48e203..43f4840 100644
--- a/dwarves/Mining_HQ.ipynb
+++ b/dwarves/Mining_HQ.ipynb
@@ -1028,43 +1028,6 @@
     "print(\"Number of mislabeled points out of a total %d points : %d\"\n",
     "   % (gammas_test.shape[0], (y_test != prediction).sum()))\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of mislabeled points out of a total 75 points : 4\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1, 2, 1, 1, 1, 1, 0, 1, 1, 0, 0, 2, 1,\n",
-       "       0, 0, 2, 0, 0, 1, 1, 0, 2, 1, 0, 2, 2, 1, 0, 1, 1, 1, 2, 0, 2, 0,\n",
-       "       0, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 2, 1, 2, 1, 0, 2, 1, 1, 1,\n",
-       "       1, 2, 0, 0, 2, 1, 0, 0, 1])"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.datasets import load_iris\n",
-    "X, y = load_iris(return_X_y=True)\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=0)\n",
-    "gnb = GaussianNB()\n",
-    "y_pred = gnb.fit(X_train, y_train).predict(X_test)\n",
-    "print(\"Number of mislabeled points out of a total %d points : %d\"\n",
-    " % (X_test.shape[0], (y_test != y_pred).sum()))\n",
-    "y_test"
-   ]
   }
  ],
  "metadata": {