_100_runs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "836e911f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Local\\Temp/ipykernel_8124/668762479.py:40: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['Rsob'][df['Rsob'].isnull().values] = forest_reg.predict(dat2)\n",
      "C:\\Users\\flammmes\\AppData\\Local\\Temp/ipykernel_8124/668762479.py:58: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['STO'][df['STO'].isnull().values] = lin_reg.predict(dat2)\n",
      "C:\\Users\\flammmes\\AppData\\Local\\Temp/ipykernel_8124/668762479.py:76: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df['Tr'][df['Tr'].isnull().values] = forest_reg.predict(dat2)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 38.1806 - val_loss: 20.0772\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 29.2310 - val_loss: 28.5108\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.1671 - val_loss: 22.0176\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 27.0770 - val_loss: 21.4671\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.6839 - val_loss: 65.8224\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.8251 - val_loss: 17.9157\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.3217 - val_loss: 25.5057\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1796 - val_loss: 49.6709\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.2458 - val_loss: 16.2531\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.1960 - val_loss: 15.1173\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.5196 - val_loss: 56.5798\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.5170 - val_loss: 16.9843\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.9281 - val_loss: 16.6319\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.7064 - val_loss: 16.3134\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.7480 - val_loss: 15.3803\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.9485 - val_loss: 14.8592\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.1478 - val_loss: 15.3566\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.0545 - val_loss: 14.3265\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.2120 - val_loss: 14.9704\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5431 - val_loss: 14.5122\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.3723 - val_loss: 23.0639\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.7276 - val_loss: 14.5706\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.3999 - val_loss: 13.9594\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6631 - val_loss: 22.5020\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.1887 - val_loss: 15.5479\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1682 - val_loss: 14.7456\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.7304 - val_loss: 14.6226\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.5291 - val_loss: 15.9691\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3742 - val_loss: 14.6562\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5184 - val_loss: 15.4458\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0020 - val_loss: 19.6022\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1454 - val_loss: 14.4454\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3485 - val_loss: 14.6456\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4122 - val_loss: 15.5726\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6579 - val_loss: 16.3783\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2708 - val_loss: 15.5082\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3762 - val_loss: 14.0000\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1345 - val_loss: 14.4705\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5886 - val_loss: 13.7766\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2124 - val_loss: 15.5995\n",
      "72/72 [==============================] - 0s 929us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.7653 - val_loss: 80.3591\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.0642 - val_loss: 42.3757\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.3715 - val_loss: 20.7993\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 26.7999 - val_loss: 23.2743\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.5259 - val_loss: 26.0189\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.4326 - val_loss: 27.6053\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.6329 - val_loss: 21.0197\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.4709 - val_loss: 17.4724\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.4118 - val_loss: 16.6964\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.9919 - val_loss: 19.2561\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.6718 - val_loss: 17.0495\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.3717 - val_loss: 18.0029\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.5431 - val_loss: 16.8919\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.8882 - val_loss: 24.8399\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5412 - val_loss: 22.7186\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.4960 - val_loss: 20.0187\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.1023 - val_loss: 19.1940\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.7326 - val_loss: 17.0436\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3876 - val_loss: 15.5881\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.4238 - val_loss: 16.5676\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.8307 - val_loss: 20.1374\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9693 - val_loss: 33.0460\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3946 - val_loss: 20.9520\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.0528 - val_loss: 15.9201\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0648 - val_loss: 16.5458\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.2756 - val_loss: 17.0863\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9915 - val_loss: 17.6303\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0440 - val_loss: 17.0113\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7322 - val_loss: 18.0001\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8437 - val_loss: 15.9685\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6095 - val_loss: 15.6708\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6334 - val_loss: 16.6090\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.9278 - val_loss: 26.4632\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8948 - val_loss: 15.0726\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1544 - val_loss: 16.2026\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2648 - val_loss: 20.3041\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4786 - val_loss: 15.3575\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.1979 - val_loss: 15.1545\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3595 - val_loss: 17.6028\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1730 - val_loss: 16.1119\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.7641 - val_loss: 16.5539\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 28.5110 - val_loss: 17.2013\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 28.0555 - val_loss: 19.6454\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.4021 - val_loss: 23.1760\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 23.7503 - val_loss: 18.4636\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.1680 - val_loss: 16.7513\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.8891 - val_loss: 16.1449\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.0777 - val_loss: 22.6947\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.9478 - val_loss: 22.5778\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.3950 - val_loss: 15.5814\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.4329 - val_loss: 18.9002\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.8781 - val_loss: 16.3123\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.4776 - val_loss: 18.7684\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.2836 - val_loss: 16.6485\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.1833 - val_loss: 17.4624\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.4337 - val_loss: 16.8062\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.9148 - val_loss: 48.3709\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0687 - val_loss: 15.9341\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9222 - val_loss: 14.2675\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.5656 - val_loss: 15.7344\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5316 - val_loss: 14.8763\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7220 - val_loss: 14.4968\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3419 - val_loss: 14.4562\n",
      "Epoch 4/20\n",
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      "Epoch 5/20\n",
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      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6515 - val_loss: 18.0886\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.2076 - val_loss: 15.0394\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7960 - val_loss: 18.2434\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.8948 - val_loss: 18.2032\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.1874 - val_loss: 14.1295\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7584 - val_loss: 14.7792\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.6498 - val_loss: 13.8907\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9454 - val_loss: 15.0750\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4173 - val_loss: 13.6111\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.5645 - val_loss: 15.9808\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4629 - val_loss: 15.4247\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2884 - val_loss: 14.0170\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.8151 - val_loss: 34.0294\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.3526 - val_loss: 13.6164\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.3325 - val_loss: 17.9139\n",
      "72/72 [==============================] - 0s 901us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.2808 - val_loss: 27.6837\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 27.8342 - val_loss: 24.3727\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 29.3755 - val_loss: 22.6022\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 23.3010 - val_loss: 17.4248\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.4120 - val_loss: 28.6982\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.4299 - val_loss: 39.4921\n",
      "Epoch 7/20\n",
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      "Epoch 11/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3520 - val_loss: 15.0075\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4375 - val_loss: 15.7180\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.5404 - val_loss: 17.1458\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0804 - val_loss: 14.7367\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7184 - val_loss: 14.2756\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 38.4207 - val_loss: 48.2265\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6558 - val_loss: 12.5066\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.8803 - val_loss: 13.6055\n",
      "72/72 [==============================] - 0s 885us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.4867 - val_loss: 17.9518\n",
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      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 843us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 13.7533 - val_loss: 17.0734\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4398 - val_loss: 18.0878\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1933 - val_loss: 17.5774\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1448 - val_loss: 17.1834\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8597 - val_loss: 19.5718\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3180 - val_loss: 18.4362\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0660 - val_loss: 17.3229\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1283 - val_loss: 19.5279\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.7618 - val_loss: 18.0650\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3544 - val_loss: 19.1643\n",
      "72/72 [==============================] - 0s 927us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.3736 - val_loss: 32.8643\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.9718 - val_loss: 36.5388\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 23.9536 - val_loss: 20.3854\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.6800 - val_loss: 18.3309\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.6926 - val_loss: 24.9194\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.4833 - val_loss: 28.3258\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.3553 - val_loss: 20.7007\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.0042 - val_loss: 23.4642\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.0222 - val_loss: 21.2030\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.0311 - val_loss: 21.6523\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.2990 - val_loss: 21.3538\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.6357 - val_loss: 20.6146\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.6703 - val_loss: 17.8578\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7514 - val_loss: 18.2571\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9941 - val_loss: 20.2910\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.3544 - val_loss: 20.6456\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6254 - val_loss: 18.1378\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.1782 - val_loss: 17.2928\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.5801 - val_loss: 19.9197\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "Epoch 3/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.5569 - val_loss: 16.9207\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4252 - val_loss: 17.8144\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0036 - val_loss: 17.1660\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5929 - val_loss: 17.8237\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8677 - val_loss: 16.3740\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6529 - val_loss: 16.8893\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5252 - val_loss: 15.8505\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8482 - val_loss: 19.5864\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5928 - val_loss: 17.5505\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9624 - val_loss: 16.7236\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.2766 - val_loss: 20.2105\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1693 - val_loss: 15.7063\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6353 - val_loss: 16.7097\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.2482 - val_loss: 16.8796\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 35.3030 - val_loss: 40.8211\n",
      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 21.7663 - val_loss: 17.9777\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.2163 - val_loss: 17.5633\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.2305 - val_loss: 15.1687\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.2914 - val_loss: 18.0528\n",
      "Epoch 13/20\n",
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      "Epoch 11/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4143 - val_loss: 20.0036\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8521 - val_loss: 15.5992\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.3628 - val_loss: 15.6372\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6470 - val_loss: 16.8537\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6235 - val_loss: 16.5099\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2891 - val_loss: 16.2481\n",
      "72/72 [==============================] - 0s 854us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.3456 - val_loss: 45.9203\n",
      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 17.9949 - val_loss: 14.2524\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0662 - val_loss: 12.6134\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.0756 - val_loss: 13.3077\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.4911 - val_loss: 11.8051\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.3269 - val_loss: 11.8807\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8627 - val_loss: 12.6038\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1876 - val_loss: 16.3033\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8547 - val_loss: 13.6378\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.5008 - val_loss: 15.0671\n",
      "Epoch 2/20\n",
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      "Epoch 8/20\n",
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      "Epoch 9/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6413 - val_loss: 13.6234\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7901 - val_loss: 13.3910\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7530 - val_loss: 13.7029\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4970 - val_loss: 14.7718\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.1745 - val_loss: 13.2844\n",
      "72/72 [==============================] - 0s 997us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 35.4758 - val_loss: 16.0933\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.1413 - val_loss: 14.2111\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4331 - val_loss: 16.2698\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9797 - val_loss: 14.5412\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 32.3567 - val_loss: 15.4357\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1233 - val_loss: 13.8408\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 888us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 13.9972 - val_loss: 13.5629\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8247 - val_loss: 14.5493\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5190 - val_loss: 13.4152\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1631 - val_loss: 13.9519\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8926 - val_loss: 16.4983\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6557 - val_loss: 14.5187\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8026 - val_loss: 15.4140\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4588 - val_loss: 15.2207\n",
      "72/72 [==============================] - 0s 915us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.7143 - val_loss: 27.3388\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 31.3149 - val_loss: 26.5142\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 25.6680 - val_loss: 18.6293\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 26.2062 - val_loss: 27.0177\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.3115 - val_loss: 22.5547\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 24.1132 - val_loss: 19.0482\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.4641 - val_loss: 22.1981\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 20.8052 - val_loss: 14.7618\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.2237 - val_loss: 16.9200\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.7557 - val_loss: 34.0792\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.5443 - val_loss: 16.0808\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.5333 - val_loss: 15.5494\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.1722 - val_loss: 15.3389\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.7443 - val_loss: 18.7602\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.3344 - val_loss: 14.5769\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.8774 - val_loss: 19.5149\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.8413 - val_loss: 15.6705\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.2927 - val_loss: 14.3497\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.4951 - val_loss: 14.3290\n",
      "Epoch 1/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.5211 - val_loss: 20.7550\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.7784 - val_loss: 14.6886\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9518 - val_loss: 16.8937\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9198 - val_loss: 13.9862\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2268 - val_loss: 15.1266\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4712 - val_loss: 17.0893\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.0054 - val_loss: 14.8944\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.1378 - val_loss: 13.8860\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7994 - val_loss: 18.8491\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.7733 - val_loss: 13.6529\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7237 - val_loss: 17.0478\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9548 - val_loss: 14.1470\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6331 - val_loss: 15.6271\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.6442 - val_loss: 14.2426\n",
      "72/72 [==============================] - 0s 843us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 38.0602 - val_loss: 22.2517\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.8698 - val_loss: 26.3088\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 26.5425 - val_loss: 28.3604\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 25.8759 - val_loss: 13.2605\n",
      "Epoch 5/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 22.8691 - val_loss: 15.4370\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.8320 - val_loss: 14.0164\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.3599 - val_loss: 12.9726\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.8002 - val_loss: 13.4369\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.3122 - val_loss: 19.8095\n",
      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.6182 - val_loss: 13.5571\n",
      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1519 - val_loss: 12.3501\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.2129 - val_loss: 12.8258\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.2612 - val_loss: 12.0728\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.8530 - val_loss: 11.8631\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8336 - val_loss: 12.1516\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7306 - val_loss: 12.7000\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7471 - val_loss: 12.7238\n",
      "72/72 [==============================] - 0s 922us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 38.0674 - val_loss: 20.9026\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.3806 - val_loss: 19.9016\n",
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      "Epoch 6/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.2113 - val_loss: 18.1142\n",
      "Epoch 8/20\n",
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      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.2430 - val_loss: 21.1030\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.8384 - val_loss: 18.5077\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0431 - val_loss: 18.4701\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.6261 - val_loss: 24.1695\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.2536 - val_loss: 17.1455\n",
      "Epoch 14/20\n",
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      "Epoch 8/20\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 16.3104 - val_loss: 16.2859\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3515 - val_loss: 15.4764\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7809 - val_loss: 17.2330\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2694 - val_loss: 18.0646\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6654 - val_loss: 18.3058\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6019 - val_loss: 17.0952\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6825 - val_loss: 17.0298\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8920 - val_loss: 16.1852\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 30.8705 - val_loss: 49.2190\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 25.1351 - val_loss: 28.5861\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 18.7491 - val_loss: 21.8684\n",
      "Epoch 8/20\n",
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      "Epoch 9/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0272 - val_loss: 18.1612\n",
      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.7308 - val_loss: 18.0359\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0224 - val_loss: 16.1183\n",
      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9380 - val_loss: 16.3817\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6078 - val_loss: 18.8888\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9056 - val_loss: 17.5790\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.5824 - val_loss: 17.8748\n",
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      "Epoch 11/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6990 - val_loss: 16.6601\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6445 - val_loss: 16.6983\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.7576 - val_loss: 25.9979\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6897 - val_loss: 14.8108\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 38.4891 - val_loss: 18.4055\n",
      "Epoch 2/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.2245 - val_loss: 18.1496\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1501 - val_loss: 19.4886\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9660 - val_loss: 18.5572\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1613 - val_loss: 18.0570\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6919 - val_loss: 18.1978\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1241 - val_loss: 17.0051\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6850 - val_loss: 17.4489\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9682 - val_loss: 16.6919\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9614 - val_loss: 18.3504\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.3698 - val_loss: 18.0149\n",
      "72/72 [==============================] - 0s 941us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.1378 - val_loss: 21.0558\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 28.3563 - val_loss: 31.6729\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.5212 - val_loss: 34.1680\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.5524 - val_loss: 18.3656\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.6522 - val_loss: 18.6166\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.1121 - val_loss: 30.7882\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.0219 - val_loss: 19.5990\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.2576 - val_loss: 29.5157\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.0576 - val_loss: 16.6169\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.8149 - val_loss: 24.9004\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8835 - val_loss: 15.9589\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.8489 - val_loss: 15.5390\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.1140 - val_loss: 31.9263\n",
      "Epoch 18/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5157 - val_loss: 17.8666\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "Epoch 3/20\n",
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      "Epoch 4/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3184 - val_loss: 25.9612\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.5663 - val_loss: 15.1249\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2508 - val_loss: 16.3337\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4422 - val_loss: 18.7451\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0978 - val_loss: 17.9581\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7600 - val_loss: 16.2449\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8463 - val_loss: 16.3553\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7128 - val_loss: 15.4605\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2664 - val_loss: 16.0318\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.2642 - val_loss: 16.0917\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.5690 - val_loss: 15.1596\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.6497 - val_loss: 18.7932\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8954 - val_loss: 15.2358\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.0260 - val_loss: 17.9872\n",
      "72/72 [==============================] - 0s 913us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.3998 - val_loss: 26.2419\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.9027 - val_loss: 35.5088\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 23.7135 - val_loss: 17.6840\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.3163 - val_loss: 18.4160\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.6513 - val_loss: 21.4936\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.0523 - val_loss: 31.3474\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.3334 - val_loss: 19.1096\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.0633 - val_loss: 18.5105\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.7111 - val_loss: 20.8767\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.6578 - val_loss: 20.6527\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5095 - val_loss: 22.8774\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.6988 - val_loss: 18.1088\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.7946 - val_loss: 19.1785\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1689 - val_loss: 18.2266\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.7051 - val_loss: 16.9839\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.7250 - val_loss: 18.2996\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.4553 - val_loss: 19.8424\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.9659 - val_loss: 17.4511\n",
      "72/72 [==============================] - 0s 885us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 39.3627 - val_loss: 18.4038\n",
      "Epoch 2/20\n",
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      "Epoch 11/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.3325 - val_loss: 24.7735\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.8438 - val_loss: 19.0818\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7268 - val_loss: 17.6019\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9735 - val_loss: 15.0040\n",
      "72/72 [==============================] - 0s 899us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.4756 - val_loss: 35.6680\n",
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      "Epoch 7/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5512 - val_loss: 16.8302\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 14.1445 - val_loss: 16.6972\n",
      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9847 - val_loss: 17.1278\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.3658 - val_loss: 16.3956\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.2593 - val_loss: 17.1160\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 39.2820 - val_loss: 26.9108\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.0571 - val_loss: 12.7938\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 2s 4ms/step - loss: 15.7965 - val_loss: 13.9901\n",
      "72/72 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4307 - val_loss: 20.5458\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.2862 - val_loss: 20.0895\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.8219 - val_loss: 20.1126\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6801 - val_loss: 19.9019\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4675 - val_loss: 19.4989\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9462 - val_loss: 19.3248\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0743 - val_loss: 22.5224\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0032 - val_loss: 20.2640\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0200 - val_loss: 20.9996\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.0997 - val_loss: 20.9288\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1903 - val_loss: 20.0942\n",
      "72/72 [==============================] - 0s 983us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 39.2490 - val_loss: 41.3776\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 27.9549 - val_loss: 26.0164\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 26.0499 - val_loss: 23.0808\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.9165 - val_loss: 18.3169\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.9452 - val_loss: 21.0236\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.4537 - val_loss: 25.9504\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.9794 - val_loss: 40.8808\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.4810 - val_loss: 22.6752\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.1131 - val_loss: 17.1967\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3441 - val_loss: 21.7284\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.2243 - val_loss: 16.6369\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.1937 - val_loss: 18.2163\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.6409 - val_loss: 17.5928\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0170 - val_loss: 35.9660\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.1648 - val_loss: 15.8440\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 17.2052 - val_loss: 20.2675\n",
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      "455/455 [==============================] - 1s 3ms/step - loss: 16.3116 - val_loss: 16.3743\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.4769 - val_loss: 15.8777\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5453 - val_loss: 20.5029\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3395 - val_loss: 17.8338\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7677 - val_loss: 15.7700\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2240 - val_loss: 17.0385\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7951 - val_loss: 15.4317\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7494 - val_loss: 15.0682\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0844 - val_loss: 20.4357\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8760 - val_loss: 21.0384\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1665 - val_loss: 16.1161\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7828 - val_loss: 16.6545\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1701 - val_loss: 16.9076\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2380 - val_loss: 16.3117\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.3128 - val_loss: 39.0674\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 27.1472 - val_loss: 15.9981\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 17.9034 - val_loss: 25.8826\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.5772 - val_loss: 28.5222\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.5459 - val_loss: 14.4636\n",
      "Epoch 11/20\n",
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      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.1351 - val_loss: 16.0890\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0517 - val_loss: 13.1154\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9737 - val_loss: 12.5578\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0768 - val_loss: 20.5372\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8167 - val_loss: 13.0835\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6747 - val_loss: 13.0720\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 39.0598 - val_loss: 207.2658\n",
      "Epoch 2/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.8851 - val_loss: 14.3878\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.0131 - val_loss: 17.1049\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.1370 - val_loss: 14.1108\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7346 - val_loss: 18.7839\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.3142 - val_loss: 15.0517\n",
      "72/72 [==============================] - 0s 913us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.6774 - val_loss: 28.8145\n",
      "Epoch 2/20\n",
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      "Epoch 7/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9326 - val_loss: 14.5956\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1091 - val_loss: 16.2090\n",
      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.0570 - val_loss: 15.7381\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0297 - val_loss: 15.9062\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9456 - val_loss: 13.9295\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.9330 - val_loss: 31.4311\n",
      "Epoch 2/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.7386 - val_loss: 16.4676\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.7003 - val_loss: 14.9702\n",
      "72/72 [==============================] - 0s 927us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.2206 - val_loss: 17.4116\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4947 - val_loss: 15.0126\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3374 - val_loss: 16.6699\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0003 - val_loss: 17.5100\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9833 - val_loss: 15.9885\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8179 - val_loss: 13.8964\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2169 - val_loss: 19.5159\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4808 - val_loss: 14.8318\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0695 - val_loss: 16.6813\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4814 - val_loss: 13.7691\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2217 - val_loss: 16.2906\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.5361 - val_loss: 34.6416\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.7695 - val_loss: 20.1872\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.1384 - val_loss: 15.5419\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.8003 - val_loss: 18.7905\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.6954 - val_loss: 24.9750\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.7597 - val_loss: 13.3341\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.6982 - val_loss: 23.2788\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3080 - val_loss: 14.6119\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8355 - val_loss: 17.3894\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.1177 - val_loss: 15.9673\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.2200 - val_loss: 15.6854\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.9234 - val_loss: 13.2943\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.8229 - val_loss: 12.2717\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.0530 - val_loss: 13.9027\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9241 - val_loss: 14.1018\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.9992 - val_loss: 11.9396\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
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      "Epoch 1/20\n",
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      "Epoch 4/20\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.5378 - val_loss: 11.3123\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.4107 - val_loss: 13.2975\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5846 - val_loss: 15.3340\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7051 - val_loss: 13.8310\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4796 - val_loss: 11.6238\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2939 - val_loss: 13.8818\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.1507 - val_loss: 13.2110\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.1801 - val_loss: 12.0947\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4602 - val_loss: 11.9415\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7175 - val_loss: 12.2083\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5137 - val_loss: 12.2030\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9739 - val_loss: 11.8762\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8616 - val_loss: 12.8728\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 42.7792 - val_loss: 14.4459\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.8765 - val_loss: 16.1402\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.8719 - val_loss: 24.2936\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 29.9055 - val_loss: 18.1528\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.5561 - val_loss: 19.4116\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 22.9069 - val_loss: 27.5475\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.0270 - val_loss: 12.6771\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.2689 - val_loss: 25.3094\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.0454 - val_loss: 20.3703\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.7341 - val_loss: 11.5011\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.9023 - val_loss: 12.3798\n",
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      "Epoch 13/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6121 - val_loss: 11.6373\n",
      "Epoch 12/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4527 - val_loss: 11.5598\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9782 - val_loss: 16.0070\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5721 - val_loss: 11.8068\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7892 - val_loss: 14.1639\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0552 - val_loss: 17.4946\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7587 - val_loss: 10.5625\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.4606 - val_loss: 11.1571\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 38.2274 - val_loss: 31.4933\n",
      "Epoch 2/20\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3448 - val_loss: 43.7938\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.0119 - val_loss: 46.7415\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.4610 - val_loss: 17.3147\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.2478 - val_loss: 14.3371\n",
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      "Epoch 20/20\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1193 - val_loss: 13.6436\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5045 - val_loss: 15.4734\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9068 - val_loss: 13.4278\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4404 - val_loss: 17.6162\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1200 - val_loss: 13.7301\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9213 - val_loss: 18.8990\n",
      "72/72 [==============================] - 0s 899us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.7493 - val_loss: 20.3381\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.5830 - val_loss: 23.8256\n",
      "Epoch 3/20\n",
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      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.0365 - val_loss: 21.4383\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 13.5103 - val_loss: 17.0742\n",
      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4850 - val_loss: 19.5383\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4535 - val_loss: 17.5840\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6352 - val_loss: 17.7935\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5273 - val_loss: 17.0422\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5414 - val_loss: 18.4971\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 40.0101 - val_loss: 26.3613\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2264 - val_loss: 17.9897\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3075 - val_loss: 14.6935\n",
      "72/72 [==============================] - 0s 997us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 40.1277 - val_loss: 22.2698\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 16.4247 - val_loss: 15.2236\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 969us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3645 - val_loss: 11.3117\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1642 - val_loss: 13.5228\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6748 - val_loss: 16.2913\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1314 - val_loss: 12.8307\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2226 - val_loss: 12.2029\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7398 - val_loss: 16.3401\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1646 - val_loss: 12.1764\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8074 - val_loss: 13.6981\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.0000 - val_loss: 11.2073\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0448 - val_loss: 11.8483\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2995 - val_loss: 12.6642\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.3760 - val_loss: 21.5981\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.7011 - val_loss: 24.3996\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.6420 - val_loss: 22.3293\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.0860 - val_loss: 22.6991\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.3168 - val_loss: 21.0252\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.9241 - val_loss: 20.4674\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.3921 - val_loss: 25.1016\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8743 - val_loss: 21.9282\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.1837 - val_loss: 18.9401\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.0718 - val_loss: 15.1848\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8158 - val_loss: 16.4603\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.2455 - val_loss: 17.1544\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.2549 - val_loss: 18.8667\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0266 - val_loss: 21.5515\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5578 - val_loss: 27.7698\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6193 - val_loss: 15.9620\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.3787 - val_loss: 15.2096\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0720 - val_loss: 17.1067\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.1149 - val_loss: 15.4734\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.6697 - val_loss: 16.8596\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.7947 - val_loss: 16.6771\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.4715 - val_loss: 14.4870\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.8060 - val_loss: 18.6696\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2671 - val_loss: 15.2027\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3055 - val_loss: 16.3338\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3844 - val_loss: 17.2599\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6228 - val_loss: 14.9937\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8373 - val_loss: 15.6279\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9598 - val_loss: 38.1984\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7603 - val_loss: 18.5178\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5269 - val_loss: 23.4745\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3108 - val_loss: 14.9118\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.0222 - val_loss: 24.0455\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 33.2228 - val_loss: 18.5014\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 20.9918 - val_loss: 20.4450\n",
      "Epoch 9/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 20.5678 - val_loss: 16.4585\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.0933 - val_loss: 17.1950\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 18.1333 - val_loss: 15.5111\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1144 - val_loss: 14.9972\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2374 - val_loss: 16.4614\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8494 - val_loss: 19.3268\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.9215 - val_loss: 16.0264\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3320 - val_loss: 15.8617\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.5936 - val_loss: 17.1072\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 32.9394 - val_loss: 23.0826\n",
      "Epoch 2/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6882 - val_loss: 13.4859\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.1869 - val_loss: 11.4335\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8809 - val_loss: 13.6349\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8553 - val_loss: 15.1570\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5893 - val_loss: 11.9318\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.1548 - val_loss: 13.2103\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.4093 - val_loss: 19.6903\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9432 - val_loss: 20.3728\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.1874 - val_loss: 22.6296\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4651 - val_loss: 16.9644\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0155 - val_loss: 17.3664\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9675 - val_loss: 17.4017\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0112 - val_loss: 17.8197\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0415 - val_loss: 16.9244\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.3431 - val_loss: 28.1909\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2402 - val_loss: 12.8537\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6937 - val_loss: 13.6346\n",
      "72/72 [==============================] - 0s 956us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.7993 - val_loss: 45.9309\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.2542 - val_loss: 16.3305\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0731 - val_loss: 15.9111\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.6212 - val_loss: 14.6224\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.0241 - val_loss: 14.4790\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6261 - val_loss: 14.4720\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5920 - val_loss: 15.2255\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5880 - val_loss: 14.9876\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2130 - val_loss: 14.0681\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5901 - val_loss: 16.0770\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7594 - val_loss: 13.7222\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.4562 - val_loss: 60.5861\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.9845 - val_loss: 16.6709\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.8221 - val_loss: 20.0800\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.9520 - val_loss: 22.0132\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.5416 - val_loss: 20.9410\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.9468 - val_loss: 40.2307\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1920 - val_loss: 17.6924\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.8008 - val_loss: 23.3876\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.3166 - val_loss: 27.9807\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.2852 - val_loss: 18.3254\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3708 - val_loss: 18.4185\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8178 - val_loss: 25.8456\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.1475 - val_loss: 16.3637\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.2983 - val_loss: 17.8665\n",
      "Epoch 16/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
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      "Epoch 8/20\n",
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      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3065 - val_loss: 19.6334\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0732 - val_loss: 17.4970\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1457 - val_loss: 16.1450\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9991 - val_loss: 15.1861\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3827 - val_loss: 15.7893\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4260 - val_loss: 20.6790\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7009 - val_loss: 16.3555\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1085 - val_loss: 15.7381\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5093 - val_loss: 15.2118\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5539 - val_loss: 15.4130\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2925 - val_loss: 15.3097\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.7495 - val_loss: 15.4104\n",
      "72/72 [==============================] - 0s 984us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.8420 - val_loss: 20.7847\n",
      "Epoch 2/20\n",
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      "Epoch 11/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9966 - val_loss: 16.0342\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5853 - val_loss: 15.7753\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9519 - val_loss: 17.1945\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.4340 - val_loss: 26.8384\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0317 - val_loss: 14.9334\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6303 - val_loss: 17.2838\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2302 - val_loss: 16.0249\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.3188 - val_loss: 29.0865\n",
      "Epoch 2/20\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6402 - val_loss: 15.8928\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4545 - val_loss: 13.1004\n",
      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0381 - val_loss: 13.4291\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3332 - val_loss: 13.1802\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4450 - val_loss: 13.2182\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3750 - val_loss: 14.3624\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3925 - val_loss: 13.8345\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5018 - val_loss: 13.9891\n",
      "72/72 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.2051 - val_loss: 27.2080\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6116 - val_loss: 17.3246\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2969 - val_loss: 13.2108\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8589 - val_loss: 12.7794\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0120 - val_loss: 13.4281\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 40.6672 - val_loss: 45.2087\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6849 - val_loss: 17.3343\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 32.8388 - val_loss: 31.8688\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1518 - val_loss: 12.1186\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 17.3321 - val_loss: 15.8237\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 2s 4ms/step - loss: 16.9431 - val_loss: 11.2369\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.5915 - val_loss: 12.4575\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1564 - val_loss: 27.0652\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5383 - val_loss: 11.3505\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6335 - val_loss: 12.8551\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5205 - val_loss: 13.4215\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.4813 - val_loss: 23.3790\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.6773 - val_loss: 23.5535\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.7825 - val_loss: 73.6893\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.6316 - val_loss: 24.1035\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1789 - val_loss: 19.0608\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.8428 - val_loss: 47.5435\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.9091 - val_loss: 19.1864\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.6126 - val_loss: 20.6287\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.6581 - val_loss: 24.5579\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6118 - val_loss: 19.7581\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6928 - val_loss: 22.7099\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6484 - val_loss: 21.7274\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7231 - val_loss: 17.0185\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8559 - val_loss: 17.0358\n",
      "Epoch 18/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4462 - val_loss: 16.4157\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.4319 - val_loss: 16.2593\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2514 - val_loss: 17.5718\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6658 - val_loss: 15.8154\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8774 - val_loss: 16.7233\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2205 - val_loss: 15.5421\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8711 - val_loss: 16.2941\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.7811 - val_loss: 16.7817\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6893 - val_loss: 16.6741\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5947 - val_loss: 16.1121\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.7195 - val_loss: 16.5982\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5979 - val_loss: 16.1541\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5799 - val_loss: 16.0643\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9148 - val_loss: 16.5774\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5267 - val_loss: 17.2820\n",
      "72/72 [==============================] - 0s 955us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.8477 - val_loss: 55.6384\n",
      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 18.0581 - val_loss: 22.7830\n",
      "Epoch 9/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9773 - val_loss: 18.2214\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4674 - val_loss: 17.0329\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9120 - val_loss: 17.4998\n",
      "72/72 [==============================] - 0s 963us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.3400 - val_loss: 27.8861\n",
      "Epoch 2/20\n",
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      "Epoch 12/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.8907 - val_loss: 19.0256\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.9481 - val_loss: 18.2938\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.4894 - val_loss: 18.4791\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0976 - val_loss: 17.2839\n",
      "72/72 [==============================] - 0s 983us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.3826 - val_loss: 18.1994\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2586 - val_loss: 13.8226\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1540 - val_loss: 13.0421\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4301 - val_loss: 27.4237\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6186 - val_loss: 12.9924\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5181 - val_loss: 13.9461\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0748 - val_loss: 13.7994\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3443 - val_loss: 13.5058\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 34.6660 - val_loss: 28.4526\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1551 - val_loss: 16.9376\n",
      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5125 - val_loss: 18.4739\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9256 - val_loss: 17.4419\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 41.7491 - val_loss: 33.2974\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5780 - val_loss: 13.9537\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 13.9602 - val_loss: 14.8771\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3037 - val_loss: 14.6855\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2246 - val_loss: 16.1275\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.7646 - val_loss: 16.6366\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0195 - val_loss: 15.7754\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9442 - val_loss: 15.5968\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0868 - val_loss: 15.4704\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9826 - val_loss: 14.9050\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9412 - val_loss: 15.4790\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 34.7451 - val_loss: 15.7860\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.7284 - val_loss: 22.0357\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.7965 - val_loss: 17.4715\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.7522 - val_loss: 17.0811\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.8105 - val_loss: 18.4866\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.2950 - val_loss: 20.6661\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.9888 - val_loss: 18.9771\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.0619 - val_loss: 15.7908\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.0224 - val_loss: 26.4532\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.4599 - val_loss: 15.2579\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.9088 - val_loss: 14.6352\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9588 - val_loss: 29.7281\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0734 - val_loss: 17.6720\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7021 - val_loss: 13.9553\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7033 - val_loss: 17.4534\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 17.6928 - val_loss: 16.0172\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.4302 - val_loss: 15.7835\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2427 - val_loss: 22.1419\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9685 - val_loss: 15.6988\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3786 - val_loss: 14.8743\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 16.5275 - val_loss: 21.2255\n",
      "Epoch 2/20\n",
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      "Epoch 4/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4428 - val_loss: 15.6432\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9889 - val_loss: 13.3435\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7449 - val_loss: 13.3535\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9795 - val_loss: 15.4177\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7511 - val_loss: 14.8774\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5549 - val_loss: 15.2326\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5071 - val_loss: 15.1938\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9900 - val_loss: 13.8600\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2378 - val_loss: 14.0224\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.1676 - val_loss: 13.1207\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7708 - val_loss: 13.9560\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4811 - val_loss: 13.4239\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5359 - val_loss: 14.3910\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5114 - val_loss: 13.7366\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 39.5994 - val_loss: 26.7115\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 29.8212 - val_loss: 13.0484\n",
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      "455/455 [==============================] - 1s 3ms/step - loss: 27.8447 - val_loss: 18.6432\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 22.9813 - val_loss: 15.4462\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 28.2728 - val_loss: 16.6490\n",
      "Epoch 6/20\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.0736 - val_loss: 14.3164\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1979 - val_loss: 16.1139\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.2044 - val_loss: 14.9537\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.7965 - val_loss: 21.5387\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.7407 - val_loss: 14.5110\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.2683 - val_loss: 13.5213\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 16/20\n",
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      "Epoch 18/20\n",
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      "Epoch 10/20\n",
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      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6496 - val_loss: 13.0258\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 2s 4ms/step - loss: 16.1435 - val_loss: 11.8190\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 2s 5ms/step - loss: 16.1092 - val_loss: 17.3870\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 2s 4ms/step - loss: 16.0399 - val_loss: 14.3112\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.5271 - val_loss: 12.5868\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5008 - val_loss: 12.9717\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 15.5828 - val_loss: 11.6133\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8404 - val_loss: 12.9457\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.3309 - val_loss: 11.3154\n",
      "72/72 [==============================] - 0s 2ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 34.7808 - val_loss: 64.1304\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.4167 - val_loss: 22.1968\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.3403 - val_loss: 23.1642\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.4046 - val_loss: 19.9866\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.2118 - val_loss: 20.6076\n",
      "Epoch 13/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 15.6132 - val_loss: 18.5165\n",
      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2425 - val_loss: 20.1447\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2917 - val_loss: 18.0180\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9321 - val_loss: 18.7759\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5959 - val_loss: 18.9966\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4654 - val_loss: 20.1276\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0103 - val_loss: 21.0922\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.1231 - val_loss: 34.8523\n",
      "Epoch 2/20\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.4591 - val_loss: 14.1670\n",
      "Epoch 11/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.4999 - val_loss: 13.6205\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.9025 - val_loss: 13.1347\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.1782 - val_loss: 15.5261\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.3061 - val_loss: 13.7381\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.8459 - val_loss: 13.4777\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.1906 - val_loss: 12.7751\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.1984 - val_loss: 13.0579\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 31.1259 - val_loss: 22.0118\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0237 - val_loss: 13.6012\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0865 - val_loss: 13.1661\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.7302 - val_loss: 14.2349\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.3557 - val_loss: 26.8469\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.2183 - val_loss: 19.5064\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6206 - val_loss: 14.0436\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5878 - val_loss: 17.6361\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9341 - val_loss: 15.4405\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2765 - val_loss: 19.6380\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7646 - val_loss: 13.9952\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6420 - val_loss: 13.6328\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1795 - val_loss: 13.9793\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4117 - val_loss: 13.6614\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 28.2282 - val_loss: 21.7342\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.8719 - val_loss: 20.0747\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.7589 - val_loss: 25.6828\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 22.0019 - val_loss: 18.2710\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 21.3977 - val_loss: 18.7193\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 19.8214 - val_loss: 26.0805\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.1941 - val_loss: 18.0384\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.1084 - val_loss: 24.8394\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.0441 - val_loss: 18.6942\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.7326 - val_loss: 18.2950\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.1097 - val_loss: 21.3849\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 16.0941 - val_loss: 18.0078\n",
      "Epoch 13/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.9944 - val_loss: 18.4478\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.1736 - val_loss: 19.1286\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.9370 - val_loss: 17.8140\n",
      "Epoch 18/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.1023 - val_loss: 17.6165\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "Epoch 3/20\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0146 - val_loss: 16.9733\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4616 - val_loss: 17.0200\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5008 - val_loss: 17.4613\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.6568 - val_loss: 17.5644\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4881 - val_loss: 16.3418\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.2995 - val_loss: 15.9656\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6789 - val_loss: 17.0300\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.2592 - val_loss: 16.1925\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3179 - val_loss: 16.5619\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.1212 - val_loss: 19.9441\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 14.0746 - val_loss: 17.9379\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.3442 - val_loss: 19.7395\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 12.9476 - val_loss: 16.7122\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 45.9627 - val_loss: 21.0522\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 31.8402 - val_loss: 48.8441\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 21.1045 - val_loss: 15.2698\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.6186 - val_loss: 25.9885\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3249 - val_loss: 15.9820\n",
      "Epoch 11/20\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 21.0528 - val_loss: 17.2503\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.4002 - val_loss: 18.3709\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.2056 - val_loss: 16.5854\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3490 - val_loss: 15.0719\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.4760 - val_loss: 14.4308\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2096 - val_loss: 14.4037\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5320 - val_loss: 15.1504\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.7882 - val_loss: 19.0084\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0390 - val_loss: 17.6397\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6837 - val_loss: 13.7328\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2672 - val_loss: 14.9587\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3909 - val_loss: 13.7227\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8462 - val_loss: 14.0860\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3620 - val_loss: 13.7374\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.8592 - val_loss: 17.2647\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3966 - val_loss: 15.0011\n",
      "Epoch 11/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1712 - val_loss: 17.3610\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0564 - val_loss: 15.4264\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9332 - val_loss: 16.6206\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3172 - val_loss: 14.3077\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6760 - val_loss: 18.3182\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8504 - val_loss: 14.0179\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 42.1265 - val_loss: 16.8112\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0510 - val_loss: 13.0732\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2852 - val_loss: 14.8907\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9407 - val_loss: 12.9995\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 39.2322 - val_loss: 24.2271\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 15.1520 - val_loss: 14.1186\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 15.4486 - val_loss: 16.7299\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7836 - val_loss: 14.8146\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4063 - val_loss: 33.9992\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4883 - val_loss: 18.4892\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1009 - val_loss: 14.8262\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2656 - val_loss: 15.9367\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4968 - val_loss: 14.1282\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 36.6597 - val_loss: 39.2327\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.2908 - val_loss: 18.6215\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.8728 - val_loss: 16.2826\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.4021 - val_loss: 34.0611\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.4787 - val_loss: 16.5886\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.9771 - val_loss: 22.9828\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.0762 - val_loss: 19.7290\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.5330 - val_loss: 22.8430\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.4433 - val_loss: 25.6767\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.2910 - val_loss: 18.4415\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.8854 - val_loss: 16.9540\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.2811 - val_loss: 22.6867\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.3558 - val_loss: 16.9127\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.2186 - val_loss: 15.9844\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.1609 - val_loss: 15.1976\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4138 - val_loss: 19.1198\n",
      "Epoch 1/20\n",
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      "Epoch 3/20\n",
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      "Epoch 4/20\n",
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      "Epoch 5/20\n",
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      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9151 - val_loss: 15.1351\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7390 - val_loss: 15.2638\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4522 - val_loss: 19.0020\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8284 - val_loss: 15.1855\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7154 - val_loss: 19.5964\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9875 - val_loss: 24.6572\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4980 - val_loss: 16.5830\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1835 - val_loss: 15.2854\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4038 - val_loss: 16.8585\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5578 - val_loss: 17.7112\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0636 - val_loss: 17.2103\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9571 - val_loss: 15.8610\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9335 - val_loss: 16.4740\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1338 - val_loss: 15.2347\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6952 - val_loss: 14.6753\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.2366 - val_loss: 16.4444\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.1992 - val_loss: 46.5778\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.4642 - val_loss: 25.8010\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 21.7316 - val_loss: 20.3724\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1195 - val_loss: 23.6652\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.6295 - val_loss: 33.2951\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8826 - val_loss: 17.6808\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.7374 - val_loss: 16.8167\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.5662 - val_loss: 16.9917\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0420 - val_loss: 18.0682\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5100 - val_loss: 17.9511\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5165 - val_loss: 23.4128\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0767 - val_loss: 21.7208\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8022 - val_loss: 17.1090\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.8030 - val_loss: 23.0911\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9518 - val_loss: 17.9741\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6771 - val_loss: 16.7996\n",
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      "Epoch 20/20\n",
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      "Epoch 9/20\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9581 - val_loss: 17.3468\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.1623 - val_loss: 15.7305\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0099 - val_loss: 19.0643\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0551 - val_loss: 16.5209\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5008 - val_loss: 16.3446\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0220 - val_loss: 16.3305\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9042 - val_loss: 16.8680\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 35.7332 - val_loss: 22.6603\n",
      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 23.0179 - val_loss: 16.6191\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3323 - val_loss: 18.0863\n",
      "Epoch 11/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3591 - val_loss: 13.6906\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6244 - val_loss: 15.9175\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3229 - val_loss: 14.6365\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8432 - val_loss: 13.4359\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2375 - val_loss: 15.5682\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8510 - val_loss: 15.2690\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1086 - val_loss: 14.3155\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7640 - val_loss: 14.0931\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 35.7714 - val_loss: 190.7489\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.4358 - val_loss: 17.8391\n",
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      "Epoch 20/20\n",
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      "Epoch 1/20\n",
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      "Epoch 9/20\n",
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      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9778 - val_loss: 15.9636\n",
      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 13/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 15.3303 - val_loss: 16.9905\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1588 - val_loss: 17.9311\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8940 - val_loss: 17.1953\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2443 - val_loss: 15.1072\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9221 - val_loss: 20.1458\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6418 - val_loss: 14.9751\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8718 - val_loss: 15.9815\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 32.3096 - val_loss: 16.0984\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2435 - val_loss: 14.1138\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0262 - val_loss: 13.2561\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 3s 4ms/step - loss: 34.7276 - val_loss: 46.0693\n",
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      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5420 - val_loss: 16.1511\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5696 - val_loss: 14.5297\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9771 - val_loss: 14.6081\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2360 - val_loss: 15.3378\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5423 - val_loss: 14.0191\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5308 - val_loss: 14.6222\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5928 - val_loss: 14.8295\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4377 - val_loss: 14.4279\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.1814 - val_loss: 53.1339\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.8697 - val_loss: 16.5460\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.4874 - val_loss: 28.2336\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 26.5036 - val_loss: 16.3664\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.7410 - val_loss: 36.3849\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.8374 - val_loss: 33.6956\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.4923 - val_loss: 18.1595\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.2067 - val_loss: 20.3898\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.1817 - val_loss: 16.8735\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.2356 - val_loss: 21.9897\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.6326 - val_loss: 17.4738\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.1948 - val_loss: 22.5162\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8875 - val_loss: 15.7755\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.0331 - val_loss: 17.9168\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.3350 - val_loss: 17.5181\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.1584 - val_loss: 41.4194\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.4015 - val_loss: 15.2437\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5848 - val_loss: 25.9638\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6664 - val_loss: 18.4379\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
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      "Epoch 3/20\n",
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      "Epoch 7/20\n",
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      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9769 - val_loss: 18.9968\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3094 - val_loss: 15.9253\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2626 - val_loss: 14.8387\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7257 - val_loss: 17.9926\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4985 - val_loss: 15.1814\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1014 - val_loss: 14.8819\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9296 - val_loss: 19.3307\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0633 - val_loss: 15.7987\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5996 - val_loss: 14.8935\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.0682 - val_loss: 15.0664\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0762 - val_loss: 20.1382\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6774 - val_loss: 15.6919\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7491 - val_loss: 15.3587\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 42.4592 - val_loss: 19.8591\n",
      "Epoch 2/20\n",
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      "Epoch 11/20\n",
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      "Epoch 12/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7373 - val_loss: 14.2975\n",
      "Epoch 18/20\n",
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      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9353 - val_loss: 14.9055\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2426 - val_loss: 14.5489\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.4190 - val_loss: 43.6714\n",
      "Epoch 2/20\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 19.5984 - val_loss: 16.5049\n",
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      "Epoch 11/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9534 - val_loss: 16.8807\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6977 - val_loss: 15.2583\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6629 - val_loss: 16.4723\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1062 - val_loss: 15.5242\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.1725 - val_loss: 28.7457\n",
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      "Epoch 8/20\n",
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      "Epoch 11/20\n",
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      "Epoch 13/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1476 - val_loss: 13.7660\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7207 - val_loss: 13.8574\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5274 - val_loss: 13.4407\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7679 - val_loss: 15.6572\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0959 - val_loss: 13.4934\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 33.2343 - val_loss: 23.6751\n",
      "Epoch 2/20\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
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      "Epoch 18/20\n",
      "455/455 [==============================] - 3s 6ms/step - loss: 15.1438 - val_loss: 15.4645\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.7143 - val_loss: 16.8486\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6077 - val_loss: 13.6573\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 31.7044 - val_loss: 37.4469\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.3727 - val_loss: 14.0641\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "455/455 [==============================] - 1s 1ms/step - loss: 13.5718 - val_loss: 18.0918\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4225 - val_loss: 17.1612\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.4523 - val_loss: 19.2103\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.5069 - val_loss: 19.5492\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.3554 - val_loss: 19.0825\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4699 - val_loss: 18.7360\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.4930 - val_loss: 17.9976\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 13.0201 - val_loss: 17.9329\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.3580 - val_loss: 18.1314\n",
      "72/72 [==============================] - 0s 983us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 37.8221 - val_loss: 22.0102\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 28.2749 - val_loss: 28.5375\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.7296 - val_loss: 13.7038\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 24.1063 - val_loss: 16.4937\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.8753 - val_loss: 38.0431\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.0232 - val_loss: 16.9141\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.0740 - val_loss: 19.6702\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.4129 - val_loss: 14.6033\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.9700 - val_loss: 25.0593\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.3609 - val_loss: 24.3765\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.4887 - val_loss: 13.9425\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 20.9529 - val_loss: 14.7404\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.3195 - val_loss: 15.8783\n",
      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.7852 - val_loss: 14.7373\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.8577 - val_loss: 14.9478\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 17.8233 - val_loss: 12.8592\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 18.1881 - val_loss: 15.7353\n",
      "Epoch 19/20\n",
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      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0247 - val_loss: 13.0249\n",
      "Epoch 1/20\n",
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      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.1979 - val_loss: 13.0457\n",
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      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.2983 - val_loss: 13.2261\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0339 - val_loss: 12.7996\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.6151 - val_loss: 16.1003\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.1262 - val_loss: 12.4209\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.8490 - val_loss: 15.9264\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0388 - val_loss: 13.5332\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9127 - val_loss: 13.0950\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0297 - val_loss: 14.2342\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.4884 - val_loss: 16.8187\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.9128 - val_loss: 12.2907\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.1185 - val_loss: 11.9997\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2159 - val_loss: 13.2618\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6286 - val_loss: 12.2586\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 1ms/step - loss: 15.8511 - val_loss: 13.7325\n",
      "72/72 [==============================] - 0s 913us/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 29.7777 - val_loss: 26.5334\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.1047 - val_loss: 16.1615\n",
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      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5144 - val_loss: 18.5036\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6109 - val_loss: 21.5735\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.5382 - val_loss: 20.2627\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.8746 - val_loss: 15.4070\n",
      "Epoch 13/20\n",
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      "Epoch 15/20\n",
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      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.1817 - val_loss: 16.3491\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8545 - val_loss: 14.8532\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.0274 - val_loss: 15.0710\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5154 - val_loss: 14.8654\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 12.9936 - val_loss: 14.4954\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.3417 - val_loss: 32.3412\n",
      "Epoch 2/20\n",
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      "Epoch 11/20\n",
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      "Epoch 14/20\n",
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      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0570 - val_loss: 16.0313\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3691 - val_loss: 16.6291\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 14.4394 - val_loss: 17.7308\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4749 - val_loss: 15.3917\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0905 - val_loss: 15.5390\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0729 - val_loss: 16.4878\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 30.7768 - val_loss: 32.0175\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 14.1799 - val_loss: 17.1768\n",
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      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0990 - val_loss: 20.8914\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 13.7211 - val_loss: 15.7356\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5187 - val_loss: 15.4616\n",
      "Epoch 16/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.6298 - val_loss: 15.2966\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.7272 - val_loss: 15.7817\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.5974 - val_loss: 15.3371\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.2239 - val_loss: 14.9064\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 36.2515 - val_loss: 15.7920\n",
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      "Epoch 15/20\n",
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      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4853 - val_loss: 12.4519\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3529 - val_loss: 15.5326\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4104 - val_loss: 11.9493\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4874 - val_loss: 12.5449\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 35.8272 - val_loss: 33.8333\n",
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      "455/455 [==============================] - 1s 2ms/step - loss: 15.7418 - val_loss: 15.0725\n",
      "Epoch 20/20\n",
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      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
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      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3530 - val_loss: 14.4378\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2970 - val_loss: 15.9411\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 15.8660 - val_loss: 16.6533\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 15.5773 - val_loss: 13.1485\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4523 - val_loss: 13.3711\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.7590 - val_loss: 13.7124\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5814 - val_loss: 13.1539\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 34.2039 - val_loss: 15.4282\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.9885 - val_loss: 28.8772\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 25.0650 - val_loss: 24.3827\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.4506 - val_loss: 16.4521\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.0709 - val_loss: 15.5219\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.9276 - val_loss: 21.1699\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.9658 - val_loss: 11.9011\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.3290 - val_loss: 14.2749\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 2s 4ms/step - loss: 18.4041 - val_loss: 12.1600\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 18.3078 - val_loss: 16.9627\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.9702 - val_loss: 15.0200\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.8519 - val_loss: 11.6361\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0598 - val_loss: 17.8881\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3134 - val_loss: 12.9224\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9140 - val_loss: 14.0687\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.5408 - val_loss: 18.1092\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5784 - val_loss: 12.4293\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9092 - val_loss: 12.0450\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6585 - val_loss: 17.2768\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2905 - val_loss: 13.0001\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 2ms/step - loss: 16.1492 - val_loss: 17.6963\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.6671 - val_loss: 15.2646\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.5188 - val_loss: 14.7764\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2907 - val_loss: 12.3540\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9980 - val_loss: 14.1943\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0987 - val_loss: 14.0215\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.2102 - val_loss: 11.8493\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7273 - val_loss: 11.9991\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3585 - val_loss: 11.5820\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8141 - val_loss: 11.3281\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4458 - val_loss: 11.2523\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0360 - val_loss: 13.6139\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6905 - val_loss: 12.4960\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 13.9037 - val_loss: 11.2185\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7308 - val_loss: 11.9054\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4274 - val_loss: 12.3348\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3598 - val_loss: 11.7515\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.0712 - val_loss: 12.3645\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5928 - val_loss: 13.3274\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.2045 - val_loss: 13.1233\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n",
      "C:\\Users\\flammmes\\AppData\\Roaming\\Python\\Python310\\site-packages\\pandas\\core\\frame.py:4906: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 29.2919 - val_loss: 20.4695\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 27.4069 - val_loss: 20.7187\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.6923 - val_loss: 14.7822\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 22.3069 - val_loss: 15.7410\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 23.5682 - val_loss: 13.5105\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 21.6670 - val_loss: 18.5413\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.6936 - val_loss: 16.2955\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 19.8404 - val_loss: 14.4442\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.9909 - val_loss: 16.9002\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.2630 - val_loss: 13.7326\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.4921 - val_loss: 16.4209\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 18.0395 - val_loss: 15.4977\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.0662 - val_loss: 16.6583\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 17.1457 - val_loss: 17.8843\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.6896 - val_loss: 13.3728\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 16.2087 - val_loss: 13.4394\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.3861 - val_loss: 15.7504\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 16.2120 - val_loss: 14.3997\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9870 - val_loss: 13.2566\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9408 - val_loss: 13.6406\n",
      "Epoch 1/20\n",
      "455/455 [==============================] - 2s 3ms/step - loss: 16.0770 - val_loss: 12.4711\n",
      "Epoch 2/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4867 - val_loss: 12.8266\n",
      "Epoch 3/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.9021 - val_loss: 13.6751\n",
      "Epoch 4/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.1500 - val_loss: 13.4167\n",
      "Epoch 5/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.4102 - val_loss: 12.7072\n",
      "Epoch 6/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3852 - val_loss: 12.0533\n",
      "Epoch 7/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.6485 - val_loss: 15.2085\n",
      "Epoch 8/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8613 - val_loss: 12.2603\n",
      "Epoch 9/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8410 - val_loss: 12.5196\n",
      "Epoch 10/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.3327 - val_loss: 12.0898\n",
      "Epoch 11/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.8467 - val_loss: 12.7470\n",
      "Epoch 12/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7549 - val_loss: 12.5570\n",
      "Epoch 13/20\n",
      "455/455 [==============================] - 1s 3ms/step - loss: 15.3326 - val_loss: 12.5737\n",
      "Epoch 14/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.9264 - val_loss: 13.0517\n",
      "Epoch 15/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.4514 - val_loss: 12.0919\n",
      "Epoch 16/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 15.0808 - val_loss: 18.7921\n",
      "Epoch 17/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5942 - val_loss: 13.0906\n",
      "Epoch 18/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.7901 - val_loss: 11.6711\n",
      "Epoch 19/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.5900 - val_loss: 11.9418\n",
      "Epoch 20/20\n",
      "455/455 [==============================] - 1s 2ms/step - loss: 14.3563 - val_loss: 15.1949\n",
      "72/72 [==============================] - 0s 1ms/step\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn\n",
    "import joblib\n",
    "df = pd.read_csv('D:\\\\Users\\\\flammmes\\\\Downloads\\\\Book1.csv')\n",
    "df['d']=df['d'].str.replace(',','')\n",
    "df['Rsob']=df['Rsob'].str.replace(',','')\n",
    "dfn = pd.read_csv('D:\\\\Users\\\\flammmes\\\\Downloads\\\\composition.csv')\n",
    "\n",
    "\n",
    "dd = df.d.astype('float')\n",
    "df.d = df.d.astype('float')\n",
    "df['Rsob']= df['Rsob'].astype('float')\n",
    "df['Rsob']= np.abs(df['Rsob'])\n",
    "x = df.iloc[:,1]/df.iloc[:,8]\n",
    "mu = 1000*(df.iloc[:,3]*x*x+df.iloc[:,4]*x+df.iloc[:,5])/(df.iloc[:,6]*x+1)\n",
    "df.insert(9,'μob',mu)\n",
    "df.insert(12,'Tr',dfn.Tres)\n",
    "\n",
    "df = df[df['μob']<=50] #50,338\n",
    "\n",
    "df.μob = 1/np.power(df.μob,1/1.5)\n",
    "my_new = pd.DataFrame({\n",
    "    'Pb':df.Pb,'μob':df.μob ,'Rs':df.Rsob\n",
    "})\n",
    "bb = my_new[my_new['Rs'].isnull().values]\n",
    "aa = my_new[my_new['Rs'].notnull().values]\n",
    "dat = aa.iloc[:,0:2].to_numpy()\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "dat =scaler.fit_transform(dat)\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "forest_reg = RandomForestRegressor(n_estimators=100)\n",
    "forest_reg.fit(dat, aa.Rs)\n",
    "\n",
    "dat2 =bb.iloc[:,0:2].to_numpy()\n",
    "dat2 =scaler.transform(dat2)\n",
    "df['Rsob'][df['Rsob'].isnull().values] = forest_reg.predict(dat2)\n",
    "df.μob = 1/np.power(df.μob,1.5)\n",
    "\n",
    "df.μob = np.log(df.μob)\n",
    "my_new = pd.DataFrame({\n",
    "    'μob':df.μob, 'STO':df.STO\n",
    "})\n",
    "bb = my_new[my_new['STO'].isnull().values]\n",
    "aa = my_new[my_new['STO'].notnull().values]\n",
    "dat = aa.μob.to_numpy().reshape(-1,1)\n",
    "scaler2 = StandardScaler()\n",
    "dat =scaler2.fit_transform(dat)\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(dat, aa.STO)\n",
    "dat2 = bb.μob.to_numpy().reshape(-1,1)\n",
    "dat2 =scaler2.transform(dat2)\n",
    "df['STO'][df['STO'].isnull().values] = lin_reg.predict(dat2)\n",
    "df.μob = np.exp(df.μob)\n",
    "\n",
    "\n",
    "my_new = pd.DataFrame({\n",
    "    'Pb':df.Pb,'Pmax':df.Pmax ,'Rs':df.Rsob,'Tr':df.Tr\n",
    "})\n",
    "bb = my_new[my_new['Tr'].isnull().values]\n",
    "aa = my_new[my_new['Tr'].notnull().values]\n",
    "dat = aa.iloc[:,0:3].to_numpy()\n",
    "scaler3 = StandardScaler()\n",
    "dat =scaler3.fit_transform(dat)\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "forest_reg = RandomForestRegressor(n_estimators=100)\n",
    "forest_reg.fit(dat, aa.Tr)\n",
    "dat2 =bb.iloc[:,0:3].to_numpy()\n",
    "dat2 =scaler3.transform(dat2)\n",
    "df['Tr'][df['Tr'].isnull().values] = forest_reg.predict(dat2)\n",
    "\n",
    "df[\"μob_cat\"] = pd.cut(df[\"μob\"],\n",
    "                               bins=[0., 5, np.inf],\n",
    "                               labels=[1, 2])\n",
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "c=[]\n",
    "for i in range(100):\n",
    "    split = StratifiedShuffleSplit(n_splits=1, test_size=0.2,random_state=i)\n",
    "    for train_index, test_index in split.split(df, df[\"μob_cat\"]):\n",
    "        strat_train_set = df.iloc[train_index]\n",
    "        strat_test_set = df.iloc[test_index]\n",
    "\n",
    "    for set_ in (strat_train_set, strat_test_set):\n",
    "        set_.drop(\"μob_cat\", axis=1, inplace=True)\n",
    "        #set_.drop(\"μob\", axis=1, inplace=True)\n",
    "    df1 = strat_train_set.copy()\n",
    "    df2 = strat_test_set.copy()\n",
    "    df1[\"μob_cat\"] = pd.cut(df1[\"μob\"],\n",
    "                                   bins=[0., 5, np.inf],\n",
    "                                   labels=[1, 2])\n",
    "    split = StratifiedShuffleSplit(n_splits=1, test_size=0.2,random_state=i)\n",
    "    for ti, tei in split.split(df1, df1[\"μob_cat\"]):\n",
    "        strat_tr_set = df1.iloc[ti]\n",
    "        strat_val_set = df1.iloc[tei]\n",
    "    for set_ in (strat_tr_set, strat_val_set):\n",
    "        set_.drop(\"μob_cat\", axis=1, inplace=True)\n",
    "        #set_.drop(\"μob\", axis=1, inplace=True)\n",
    "    df_train = strat_tr_set.copy()\n",
    "    df_val = strat_val_set.copy()\n",
    "\n",
    "    def gen_func(a):\n",
    "\n",
    "        dflist = []\n",
    "        for i in range(len(a)):\n",
    "\n",
    "            \n",
    "            correlations_select = pd.DataFrame({'P':P_i,'μ':mu_i,'Rsob':instance[10],'API':instance[11],'Tr':instance[12]})\n",
    "            pressure_bubble_point = correlations_select.iloc[0,0]*np.linspace(1,1,20)\n",
    "            visc_bubble_point = correlations_select.iloc[0,1]*np.linspace(1,1,20)\n",
    "            correlations_select.insert(0,\"Pb\",pressure_bubble_point)\n",
    "            correlations_select.insert(2,'μob',visc_bubble_point)\n",
    "            dflist.append(correlations_select)\n",
    "\n",
    "\n",
    "        totaldf = pd.concat(dflist)\n",
    "        totaldf.Pb = totaldf.Pb*145.038\n",
    "        totaldf.P = totaldf.P*145.038\n",
    "        totaldf.insert(2,'ΔP', totaldf.P-totaldf.Pb)\n",
    "\n",
    "        totaldf.API = 141.5*1000/totaldf.API -131.5\n",
    "        totaldf.Rsob = totaldf.Rsob*5.614583333333333\n",
    "        #totaldf = totaldf[totaldf.μ != totaldf.μob]\n",
    "        #totaldf.drop('P',axis=1,inplace=True)\n",
    "        return totaldf\n",
    "    test_data = gen_func(df2)\n",
    "    train_data = gen_func(df_train)\n",
    "    val_data = gen_func(df_val)\n",
    "\n",
    "    #y = test_data[test_data.ΔP==0]\n",
    "    #x =  val_data[val_data.ΔP==0]\n",
    "    #train_data = pd.concat([train_data,y,x])\n",
    "    all_data = gen_func(df)\n",
    "    for a in [test_data,train_data,val_data,all_data]:\n",
    "        a.μ = np.sqrt(np.log(a.μ/a.μob+0.0012))\n",
    "        a.ΔP = np.power(a.ΔP,0.5)\n",
    "        #a.ΔP = np.log(a.ΔP+1)\n",
    "        #a.insert(0,'x1',a.ΔP*np.power(a.P/a.Pb,0.2))\n",
    "        a.μob = a.ΔP*np.power(a.μob,0.07)\n",
    "\n",
    "        #a.insert(4,'logμob',a.μob*np.log(a.μob))\n",
    "        a.Pb = a.ΔP/np.log(a.Pb+400)\n",
    "        a.P = a.ΔP*np.power(a.P,-0.15)\n",
    "        a.API = a.ΔP/np.power(a.API,0.3)\n",
    "        a.Rsob = a.ΔP/np.log(a.Rsob+150)\n",
    "        #a.drop('μob',axis=1,inplace=True)\n",
    "        a.Tr = a.ΔP*np.power(a.Tr,-1.)\n",
    "    from sklearn.preprocessing import StandardScaler\n",
    "    from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "    X_train = train_data.drop([\"μ\"], axis=1) \n",
    "    y_train = train_data[\"μ\"].copy()\n",
    "    X_val = val_data.drop([\"μ\"], axis=1) \n",
    "    y_val = val_data[\"μ\"].copy()\n",
    "    X_test = test_data.drop([\"μ\"], axis=1) # drop labels for training set\n",
    "    y_test = test_data[\"μ\"].copy()\n",
    "\n",
    "    poly_features = PolynomialFeatures(degree=2, include_bias=False)\n",
    "    X_train_poly = poly_features.fit_transform(X_train)\n",
    "    X_val_poly = poly_features.fit_transform(X_val)\n",
    "    X_test_poly = poly_features.fit_transform(X_test)\n",
    "    poly_scaler = StandardScaler()\n",
    "    X_train_poly = poly_scaler.fit_transform(X_train_poly)\n",
    "    X_val_poly = poly_scaler.transform(X_val_poly)\n",
    "    X_test_poly = poly_scaler.transform(X_test_poly)\n",
    "\n",
    "    scaler = StandardScaler()\n",
    "    X_train= scaler.fit_transform(X_train)\n",
    "    X_val= scaler.transform(X_val)\n",
    "    X_test= scaler.transform(X_test)\n",
    "    X_features_full = [X_train,X_val,X_test]\n",
    "    X_features_poly_full = [X_train_poly,X_val_poly,X_test_poly]\n",
    "    y_labels_full = [y_train,y_val,y_test]\n",
    "    totaldf_full = gen_func(df2)\n",
    "    all_data_full = gen_func(df)\n",
    "\n",
    "    from sklearn.metrics import mean_squared_error\n",
    "    from sklearn.metrics import mean_absolute_percentage_error\n",
    "    from sklearn.svm import SVR\n",
    "    X_features = X_features_full\n",
    "    X_features_poly = X_features_poly_full\n",
    "    y_labels = y_labels_full\n",
    "    from sklearn.linear_model import Ridge\n",
    "    ridge_reg = Ridge(alpha=0.2, solver=\"cholesky\")\n",
    "    ridge_reg.fit(X_features_poly[0], y_labels[0])\n",
    "    svm_rbf_reg = SVR(kernel=\"rbf\",C=1,epsilon=0.001)\n",
    "    svm_rbf_reg.fit(X_features[0], y_labels[0])\n",
    "    forest_reg = RandomForestRegressor(n_estimators=100)\n",
    "    forest_reg.fit(X_features[0], y_labels[0])\n",
    "    from sklearn.ensemble import VotingRegressor\n",
    "    voting_reg = VotingRegressor(\n",
    "        estimators=[('fr', forest_reg), ('svm', svm_rbf_reg)])\n",
    "    voting_reg.fit(X_features[0],y_labels[0])\n",
    "    import tensorflow as tf\n",
    "    from tensorflow import keras\n",
    "    model = keras.models.Sequential([\n",
    "        keras.layers.Dense(500, activation=\"relu\", input_shape=X_features[0].shape[1:]),\n",
    "        keras.layers.Dense(1)\n",
    "    ])\n",
    "    for j in range(2):\n",
    "        model.compile(loss=\"mean_absolute_percentage_error\", optimizer=keras.optimizers.Adam())\n",
    "        history = model.fit(X_features[0], y_labels[0], epochs=20,batch_size=16, validation_data=(X_features[1], y_labels[1]))\n",
    "    totaldf = totaldf_full\n",
    "    totaldf.insert(7,'poly ridge μ', totaldf.μob*(np.exp(np.power(ridge_reg.predict(X_features_poly[2]),2)) -0.0012))\n",
    "    totaldf.insert(8,'rbf μ', totaldf.μob*(np.exp(np.power(svm_rbf_reg.predict(X_features[2]),2)) -0.0012))\n",
    "    totaldf.insert(9,'forest μ', totaldf.μob*(np.exp(np.power(forest_reg.predict(X_features[2]),2)) -0.0012))\n",
    "    totaldf.insert(10,'voting μ', totaldf.μob*(np.exp(np.power(voting_reg.predict(X_features[2]),2)) -0.0012))\n",
    "    totaldf.insert(11,'sequential', (np.exp(np.power(model.predict(X_features[2]),2)) -0.0012))\n",
    "    totaldf.sequential = totaldf.sequential*totaldf.μob\n",
    "    totaldf.insert(12,'Almehaideb', totaldf.μob*np.power(totaldf.P/totaldf.Pb,0.134819+1.94345*np.power(10,-4.0)*totaldf.Rsob-1.93106*np.power(10,-9.0)*np.power(totaldf.Rsob,2)))\n",
    "    X = 0.776644115+0.987658646*np.log10(totaldf.μob)-0.190564677*np.log10(totaldf.Rsob)+0.009147711*totaldf.μob*np.log10(totaldf.Rsob)-0.000019111*(totaldf.P-totaldf.Pb)\n",
    "    totaldf.insert(13,'Dindoruk and Christman',totaldf.μob +0.00006334*totaldf.ΔP*np.power(10,X))\n",
    "    def Stats_matrix(a):\n",
    "        absolute_average_error = []\n",
    "        for i in range(7):\n",
    "            absolute_average_error.append(np.average(np.absolute((a.iloc[:,i+7]-a.μ)/a.μ*100)))\n",
    "        statistics  = pd.Series(list(absolute_average_error))\n",
    "        return statistics\n",
    "\n",
    "    Stats_matrix(totaldf)\n",
    "\n",
    "    y = Stats_matrix(totaldf).values.tolist()\n",
    "    c.append(y)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e438ea38",
   "metadata": {},
   "outputs": [],
   "source": [
    "f2 = pd.DataFrame(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "0ce8b13d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stored 'f2' (DataFrame)\n"
     ]
    }
   ],
   "source": [
    "%store f2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd393283",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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