diff --git a/Daten/Vorhersagen/BE_final.xlsx b/Daten/Vorhersagen/BE_final.xlsx
index d9db3718bfecc713720c8615353b068e2a5eb420..ecd26b736be57c349ee73c16bab96c94d3fced88 100644
Binary files a/Daten/Vorhersagen/BE_final.xlsx and b/Daten/Vorhersagen/BE_final.xlsx differ
diff --git a/Notebooks/Completing_BE_data.ipynb b/Notebooks/Completing_BE_data.ipynb
index 30e35afcc8071ef8f5523a841ce6fdbb789610cf..0326f2b06974ec1e7b5a7df9af78658e5c7dca52 100644
--- a/Notebooks/Completing_BE_data.ipynb
+++ b/Notebooks/Completing_BE_data.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 2,
    "id": "a910c4c5-3a61-462b-ac07-c9545fe7ae40",
    "metadata": {
     "tags": []
@@ -859,7 +859,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 260,
+   "execution_count": 3,
+   "id": "7349ee90-3dcd-4dd4-815c-65219adb0866",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "final_BE_df = pd.read_excel('../Daten/Vorhersagen/BE_final.xlsx', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "id": "927de1ce-4152-4983-ad07-17d45de2cf47",
    "metadata": {
     "tags": []
@@ -869,30 +881,32 @@
      "data": {
       "text/plain": [
        "hs. Katalog Konfidenz\n",
-       "sicher                               8339\n",
-       "sicher | sicher                       190\n",
+       "sicher                               9103\n",
+       "sicher | sicher                       215\n",
        "sicher | unsicher                      83\n",
-       "unsicher                               26\n",
+       "unsicher                               29\n",
        "unsicher | unsicher                    19\n",
        "sicher | sicher | sicher                3\n",
        "sicher | sicher | sicher | sicher       1\n",
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 260,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "BE_with_Ink_df['hs. Katalog Konfidenz'].value_counts()"
+    "final_BE_df['hs. Katalog Konfidenz'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 7,
    "id": "06fbcb36-61b6-44d9-bb5c-79df81e02f89",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -917,15 +931,15 @@
     "sample_ids = [22871, 2954, 6695, 9396]\n",
     "expected_class = [2, 1, 1, 0]\n",
     "for ind in sample_ids:\n",
-    "    print('determined:', complex_classify(non_BE_df.loc[ind]), 'expected:', expected_class[sample_ids.index(ind)])\n",
+    "    print('determined:', complex_classify(final_BE_df.loc[ind]), 'expected:', expected_class[sample_ids.index(ind)])\n",
     "    \n",
-    "BE_with_Ink_df['Einfache Klassifizierung'] = BE_with_Ink_df['Wappenklassifizierung'].isin(['A', 'B', 'C']) | (BE_with_Ink_df['hs. Katalog'] == 1)\n",
-    "BE_with_Ink_df['Komplexe Klassifizierung'] = BE_with_Ink_df.apply(lambda x: complex_classify(x), axis=1)"
+    "final_BE_df['Einfache Klassifizierung'] = final_BE_df['Wappenklassifizierung'].isin(['A', 'B', 'C']) | (final_BE_df['hs. Katalog'] == 1)\n",
+    "final_BE_df['Komplexe Klassifizierung'] = final_BE_df.apply(lambda x: complex_classify(x), axis=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 8,
    "id": "b9ee6630-7122-44d9-9d2f-c8113e5a8e97",
    "metadata": {
     "tags": []
@@ -935,24 +949,24 @@
      "data": {
       "text/plain": [
        "Einfache Klassifizierung\n",
-       "False    13069\n",
+       "False    13063\n",
        "True      9805\n",
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 276,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "BE_with_Ink_df['Einfache Klassifizierung'].value_counts()"
+    "final_BE_df['Einfache Klassifizierung'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
-   "id": "175c1147-0063-45e4-8498-39ee390ea7a0",
+   "execution_count": 9,
+   "id": "2515e963-e3b9-4ef7-adff-5d9b482b77bc",
    "metadata": {
     "tags": []
    },
@@ -961,32 +975,40 @@
      "data": {
       "text/plain": [
        "Komplexe Klassifizierung\n",
-       "0    10114\n",
+       "0    10109\n",
        "2     9761\n",
-       "1     2999\n",
+       "1     2998\n",
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 277,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "BE_with_Ink_df['Komplexe Klassifizierung'].value_counts()"
+    "final_BE_df['Komplexe Klassifizierung'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 275,
+   "execution_count": null,
    "id": "9ecc028b-9b46-4bf8-ae24-2aa9c58366bb",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "BE_with_Ink_df.to_excel('../Daten/Vorhersagen/WIP_final_BE_4.xlsx')"
+    "final_BE_df.to_excel('../Daten/Vorhersagen/BE_final.xlsx')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80f4037b-3055-4c44-b730-9943809b4092",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {