diff --git a/docs/evaluation/Vergleich der Ergebnisse.md b/docs/evaluation/Vergleich der Ergebnisse.md
index 7fa4db572520a44c0e525a861822a1f0e181982e..0871f394a071b47b3a7eb10848075058354287a2 100644
--- a/docs/evaluation/Vergleich der Ergebnisse.md	
+++ b/docs/evaluation/Vergleich der Ergebnisse.md	
@@ -538,6 +538,18 @@
 		+ Daphnet: 0.036445 (MGAB: 0.085299)
 	+ nach VUS-PR:
 		+ MGAB: 0.036645 (vgl. MGAB 0.01, + 0.027, $\approx$ 270 %; Daphnet: 0.039747)
+
+**TAO DATENSATZ**
+*Optimale Hyperparameter der Autoren:*
++ {'periodicity': 2, 'n_clusters': 10}
+*Hyperparameter nach Tuning pro Datensatz:*
++ {'periodicity': 1, 'n_clusters': 30} ,257_TAO_id_1_Environment_tr_500_1st_3.csv
++ {'periodicity': 3, 'n_clusters': 20},258_TAO_id_2_Environment_tr_500_1st_4.csv
++ {'periodicity': 2, 'n_clusters': 40},259_TAO_id_3_Environment_tr_500_1st_7.csv
+*Werte mit optimalen Hpyerparametern der Autoren:*
++ 257_TAO_id_1_Environment_tr_500_1st_3.csv: 
++ 258_TAO_id_2_Environment_tr_500_1st_4.csv: 
++ 259_TAO_id_3_Environment_tr_500_1st_7.csv
 # Sub-OCSVM
 + Prozessor: CPU
 	+ Modell: iCore 5 8th
diff --git a/src/models/desi/test_hyperparameters.ipynb b/src/models/desi/test_hyperparameters.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..aac5ce7e074d89c031076a6d50cbd70b7a79c5e8
--- /dev/null
+++ b/src/models/desi/test_hyperparameters.ipynb
@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "import pathlib\n",
+    "sys.path.append(str(pathlib.Path.absolute)+ '../../')\n",
+    "from src.utils.slidingWindows import find_length_rank\n",
+    "from src.run_model_wrapper import main\n",
+    "from src.models.ahmad.KMeansAD import KMeansAD\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Hyperparamater\n",
+    "params = {'periodicity': 2, 'n_clusters': 10}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Fit Funktion\n",
+    "def run_KMeansAD_U(data, n_clusters=20, periodicity=1,n_jobs=1):\n",
+    "    slidingWindow = find_length_rank(data, rank=periodicity)\n",
+    "    clf = KMeansAD(k=n_clusters, window_size=slidingWindow, stride=1, n_jobs=n_jobs)\n",
+    "    score = clf.fit_predict(data)\n",
+    "    return score.ravel()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = 'run_KMeansAD_U'\n",
+    "output_path = '../../../docs/evaluation/'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/models/sofia_modelle/call_sub_iforestpy b/src/models/sofia_modelle/call_sub_iforest.py
similarity index 100%
rename from src/models/sofia_modelle/call_sub_iforestpy
rename to src/models/sofia_modelle/call_sub_iforest.py