From 15b32a9792127b2f846d865b03afe17ba9f8ce83 Mon Sep 17 00:00:00 2001
From: Michael <weigmi87303@th-nuernberg.de>
Date: Wed, 10 Dec 2025 19:35:20 +0100
Subject: [PATCH] removed cell output

---
 model_training/VAE_SVM/vaesvm.ipynb | 101 +++++-----------------------
 1 file changed, 16 insertions(+), 85 deletions(-)

diff --git a/model_training/VAE_SVM/vaesvm.ipynb b/model_training/VAE_SVM/vaesvm.ipynb
index 80fc0ae..1572d80 100644
--- a/model_training/VAE_SVM/vaesvm.ipynb
+++ b/model_training/VAE_SVM/vaesvm.ipynb
@@ -10,29 +10,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": null,
    "id": "53b10294",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/home\n"
-     ]
-    },
-    {
-     "ename": "ImportError",
-     "evalue": "cannot import name 'mad_outlier_removal' from 'Fahrsimulator_MSY2526_AI.model_training.tools' (unknown location)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mImportError\u001b[39m                               Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[61]\u001b[39m\u001b[32m, line 11\u001b[39m\n\u001b[32m      8\u001b[39m sys.path.append(base_dir)\n\u001b[32m      9\u001b[39m \u001b[38;5;28mprint\u001b[39m(base_dir)\n\u001b[32m---> \u001b[39m\u001b[32m11\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mFahrsimulator_MSY2526_AI\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mmodel_training\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mtools\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m evaluation_tools, scaler, mad_outlier_removal\n\u001b[32m     12\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01msklearn\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mpreprocessing\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m StandardScaler, MinMaxScaler\n\u001b[32m     13\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01msklearn\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01msvm\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m OneClassSVM\n",
-      "\u001b[31mImportError\u001b[39m: cannot import name 'mad_outlier_removal' from 'Fahrsimulator_MSY2526_AI.model_training.tools' (unknown location)"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -65,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "24a765e8",
    "metadata": {},
    "outputs": [],
@@ -75,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "471001b0",
    "metadata": {},
    "outputs": [],
@@ -93,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "id": "692d1b47",
    "metadata": {},
    "outputs": [],
@@ -104,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "id": "ea617e3f",
    "metadata": {},
    "outputs": [],
@@ -130,20 +111,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "id": "ae43df8d",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finale Score-Differenz: 0.0020961590397180485\n",
-      "Größe Gruppe 1: 6\n",
-      "Größe Gruppe 2: 12\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "merged_sorted = merged.sort_values(\"overall_score\", ascending=False).reset_index(drop=True)\n",
     "\n",
@@ -202,61 +173,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "id": "9d1b414e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.7895307985978888"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "group_large['overall_score'].mean()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "id": "fa71f9a5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.7874346395581707"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "group_small['overall_score'].mean()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "id": "79ecb4a2",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[22  4 26 16  3 11 18 14 24 13  9 28]\n",
-      "[ 5  6 29  0  7 17]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "training_subjects = group_large['subjectID'].values\n",
     "test_subjects = group_small['subjectID'].values\n",
@@ -274,19 +214,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": null,
    "id": "76610052",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(7115, 25)\n",
-      "(7320, 25)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# SET\n",
     "threshold_mad = 100\n",