CP13_1TeV_HIggs_search_correlations&ROC_curves.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b7d25832",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-03-17 01:47:48.348462: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.layers import Dropout\n",
    "from tensorflow.keras.callbacks import EarlyStopping,ModelCheckpoint\n",
    "\n",
    "\n",
    "from tensorflow.keras.wrappers.scikit_learn import KerasRegressor\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn import model_selection,preprocessing\n",
    "from sklearn import metrics\n",
    "from sklearn.model_selection import cross_val_predict\n",
    "\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85eff04b",
   "metadata": {},
   "source": [
    "## Exercise 1 (1 point):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c615e86f",
   "metadata": {},
   "outputs": [],
   "source": [
    "Zjets = pd.read_csv(\"Zjets.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c6a0e3eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "Diboson = pd.read_csv(\"Diboson.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8d40bc85",
   "metadata": {},
   "outputs": [],
   "source": [
    "Top = pd.read_csv(\"Top.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56bc3687",
   "metadata": {},
   "outputs": [],
   "source": [
    "ggH1000 = pd.read_csv(\"ggH1000.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94bc575c",
   "metadata": {},
   "source": [
    "### Data sanity check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c1ce9324",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Topology</th>\n",
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       "      <th>...</th>\n",
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       "      <th>lep2_E</th>\n",
       "      <th>lep2_charge</th>\n",
       "      <th>lep2_eta</th>\n",
       "      <th>lep2_phi</th>\n",
       "      <th>lep2_pt</th>\n",
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       "      <td>-1.057460</td>\n",
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       "      <th>1</th>\n",
       "      <td>0.789204</td>\n",
       "      <td>10660.757</td>\n",
       "      <td>1</td>\n",
       "      <td>90289.914</td>\n",
       "      <td>32506.705</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>247948.36</td>\n",
       "      <td>-0.429050</td>\n",
       "      <td>2.770810</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.918399</td>\n",
       "      <td>-1.229385</td>\n",
       "      <td>40799.945</td>\n",
       "      <td>38147.754</td>\n",
       "      <td>1</td>\n",
       "      <td>0.847265</td>\n",
       "      <td>0.995251</td>\n",
       "      <td>27624.867</td>\n",
       "      <td>260357.19</td>\n",
       "      <td>-1.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>92994.430</td>\n",
       "      <td>55287.625</td>\n",
       "      <td>0.059006</td>\n",
       "      <td>2.463149</td>\n",
       "      <td>630492.94</td>\n",
       "      <td>-0.543789</td>\n",
       "      <td>-2.190247</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.091297</td>\n",
       "      <td>0.865696</td>\n",
       "      <td>57988.660</td>\n",
       "      <td>29768.775</td>\n",
       "      <td>1</td>\n",
       "      <td>0.440004</td>\n",
       "      <td>-1.042492</td>\n",
       "      <td>27102.590</td>\n",
       "      <td>422698.44</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.772697</td>\n",
       "      <td>41489.973</td>\n",
       "      <td>1</td>\n",
       "      <td>89607.580</td>\n",
       "      <td>63405.484</td>\n",
       "      <td>0.265080</td>\n",
       "      <td>2.081222</td>\n",
       "      <td>610611.56</td>\n",
       "      <td>1.776149</td>\n",
       "      <td>-0.214862</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238367</td>\n",
       "      <td>2.127853</td>\n",
       "      <td>55424.742</td>\n",
       "      <td>69817.470</td>\n",
       "      <td>1</td>\n",
       "      <td>0.809497</td>\n",
       "      <td>-2.276664</td>\n",
       "      <td>51873.030</td>\n",
       "      <td>302718.06</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.581337</td>\n",
       "      <td>41731.630</td>\n",
       "      <td>1</td>\n",
       "      <td>90199.480</td>\n",
       "      <td>47187.332</td>\n",
       "      <td>0.093765</td>\n",
       "      <td>2.321676</td>\n",
       "      <td>781746.90</td>\n",
       "      <td>-1.524169</td>\n",
       "      <td>-1.101946</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.116431</td>\n",
       "      <td>1.745413</td>\n",
       "      <td>68312.220</td>\n",
       "      <td>33509.810</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "   FullEventWeight         MET  Topology   Zll_mass     Zll_pt  fatjet_C2  \\\n",
       "0        -0.790471  177227.420         1  95697.766  64252.690   0.097862   \n",
       "1         0.789204   10660.757         1  90289.914  32506.705   0.000000   \n",
       "2        -0.872639  655334.400         1  92994.430  55287.625   0.059006   \n",
       "3        -0.772697   41489.973         1  89607.580  63405.484   0.265080   \n",
       "4         1.581337   41731.630         1  90199.480  47187.332   0.093765   \n",
       "\n",
       "   fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  lep1_eta  lep1_phi  \\\n",
       "0   1.895164  425871.88   -1.329446   -0.485957  ...  1.782276 -1.057460   \n",
       "1   0.000000  247948.36   -0.429050    2.770810  ... -0.918399 -1.229385   \n",
       "2   2.463149  630492.94   -0.543789   -2.190247  ... -1.091297  0.865696   \n",
       "3   2.081222  610611.56    1.776149   -0.214862  ...  1.238367  2.127853   \n",
       "4   2.321676  781746.90   -1.524169   -1.101946  ... -0.116431  1.745413   \n",
       "\n",
       "     lep1_pt     lep2_E  lep2_charge  lep2_eta  lep2_phi    lep2_pt  \\\n",
       "0  76128.370  12476.566            1 -0.289019  1.966965  11973.011   \n",
       "1  40799.945  38147.754            1  0.847265  0.995251  27624.867   \n",
       "2  57988.660  29768.775            1  0.440004 -1.042492  27102.590   \n",
       "3  55424.742  69817.470            1  0.809497 -2.276664  51873.030   \n",
       "4  68312.220  33509.810            1  0.598434 -1.972788  28290.979   \n",
       "\n",
       "   reco_zv_mass  truth_zv_mass  \n",
       "0     596020.44           -1.0  \n",
       "1     260357.19           -1.0  \n",
       "2     422698.44           -1.0  \n",
       "3     302718.06           -1.0  \n",
       "4     461896.25           -1.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Zjets.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a5e2eaa9",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
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       "      <td>225618.530</td>\n",
       "      <td>0</td>\n",
       "      <td>13106.807</td>\n",
       "      <td>51429.535</td>\n",
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       "      <td>357617.66</td>\n",
       "      <td>-1.066937</td>\n",
       "      <td>-0.145452</td>\n",
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       "      <th>2</th>\n",
       "      <td>0.371392</td>\n",
       "      <td>42284.125</td>\n",
       "      <td>0</td>\n",
       "      <td>84519.230</td>\n",
       "      <td>153790.270</td>\n",
       "      <td>0.051175</td>\n",
       "      <td>3.360730</td>\n",
       "      <td>345472.30</td>\n",
       "      <td>0.704825</td>\n",
       "      <td>-2.816466</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.285897</td>\n",
       "      <td>-0.084159</td>\n",
       "      <td>146895.95</td>\n",
       "      <td>24618.990</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.741342</td>\n",
       "      <td>1.177780</td>\n",
       "      <td>19119.7030</td>\n",
       "      <td>471285.40</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.309902</td>\n",
       "      <td>42735.938</td>\n",
       "      <td>1</td>\n",
       "      <td>76138.640</td>\n",
       "      <td>102611.836</td>\n",
       "      <td>0.117028</td>\n",
       "      <td>0.702838</td>\n",
       "      <td>476446.80</td>\n",
       "      <td>0.095546</td>\n",
       "      <td>1.012053</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.160614</td>\n",
       "      <td>-2.544057</td>\n",
       "      <td>109699.72</td>\n",
       "      <td>22303.861</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.648011</td>\n",
       "      <td>1.120479</td>\n",
       "      <td>8277.4480</td>\n",
       "      <td>495503.10</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>70475.780</td>\n",
       "      <td>0</td>\n",
       "      <td>86138.000</td>\n",
       "      <td>141886.280</td>\n",
       "      <td>0.053951</td>\n",
       "      <td>3.634348</td>\n",
       "      <td>799487.75</td>\n",
       "      <td>-1.828396</td>\n",
       "      <td>-2.406883</td>\n",
       "      <td>...</td>\n",
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      "text/plain": [
       "   FullEventWeight         MET  Topology    Zll_mass      Zll_pt  fatjet_C2  \\\n",
       "0         0.387345   41920.540         0  187549.810  374316.600   0.127114   \n",
       "1         0.172328  225618.530         0   13106.807   51429.535   0.269517   \n",
       "2         0.371392   42284.125         0   84519.230  153790.270   0.051175   \n",
       "3         0.309902   42735.938         1   76138.640  102611.836   0.117028   \n",
       "4         0.202772   70475.780         0   86138.000  141886.280   0.053951   \n",
       "\n",
       "   fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  lep1_eta  lep1_phi  \\\n",
       "0   1.786927  353161.47   -0.001591    1.914456  ...  1.677279 -1.346853   \n",
       "1   2.296220  357617.66   -1.066937   -0.145452  ... -2.057147  2.975854   \n",
       "2   3.360730  345472.30    0.704825   -2.816466  ... -0.285897 -0.084159   \n",
       "3   0.702838  476446.80    0.095546    1.012053  ... -0.160614 -2.544057   \n",
       "4   3.634348  799487.75   -1.828396   -2.406883  ... -0.499056  0.429884   \n",
       "\n",
       "     lep1_pt     lep2_E  lep2_charge  lep2_eta  lep2_phi     lep2_pt  \\\n",
       "0  369495.34  12147.315            1 -0.686657 -2.412152   9755.2705   \n",
       "1   36972.74  34980.440           -1 -1.521354  2.819377  14584.7360   \n",
       "2  146895.95  24618.990           -1  0.741342  1.177780  19119.7030   \n",
       "3  109699.72  22303.861            1 -1.648011  1.120479   8277.4480   \n",
       "4  151453.40  14053.401           -1 -0.171763  2.796952  13848.2230   \n",
       "\n",
       "   reco_zv_mass  truth_zv_mass  \n",
       "0    1014320.10           -1.0  \n",
       "1     240295.97           -1.0  \n",
       "2     471285.40           -1.0  \n",
       "3     495503.10           -1.0  \n",
       "4     498823.40           -1.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Diboson.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7772baf9",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>FullEventWeight</th>\n",
       "      <th>MET</th>\n",
       "      <th>Topology</th>\n",
       "      <th>Zll_mass</th>\n",
       "      <th>Zll_pt</th>\n",
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       "      <td>1.435712</td>\n",
       "      <td>461309.30</td>\n",
       "      <td>-1.195378</td>\n",
       "      <td>2.909157</td>\n",
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       "      <td>0.164823</td>\n",
       "      <td>1.042927</td>\n",
       "      <td>38513.980</td>\n",
       "      <td>11072.072</td>\n",
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       "      <td>-0.665443</td>\n",
       "      <td>-0.969063</td>\n",
       "      <td>9003.888</td>\n",
       "      <td>245723.92</td>\n",
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       "      <td>225038.800</td>\n",
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       "      <td>20311.205</td>\n",
       "      <td>38644.793</td>\n",
       "      <td>0.090346</td>\n",
       "      <td>2.403266</td>\n",
       "      <td>276659.70</td>\n",
       "      <td>0.387434</td>\n",
       "      <td>3.050592</td>\n",
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       "      <td>-1.975266</td>\n",
       "      <td>1.798074</td>\n",
       "      <td>9425.637</td>\n",
       "      <td>351938.88</td>\n",
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       "      <td>1.552981e-09</td>\n",
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       "      <td>134715.500</td>\n",
       "      <td>244261.840</td>\n",
       "      <td>0.212569</td>\n",
       "      <td>1.336584</td>\n",
       "      <td>900965.50</td>\n",
       "      <td>-1.822714</td>\n",
       "      <td>-0.619062</td>\n",
       "      <td>...</td>\n",
       "      <td>0.701193</td>\n",
       "      <td>2.446600</td>\n",
       "      <td>254871.310</td>\n",
       "      <td>17551.730</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.196344</td>\n",
       "      <td>0.185058</td>\n",
       "      <td>17218.764</td>\n",
       "      <td>1046120.90</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.660535e-09</td>\n",
       "      <td>57572.890</td>\n",
       "      <td>0</td>\n",
       "      <td>69086.836</td>\n",
       "      <td>90045.625</td>\n",
       "      <td>0.133918</td>\n",
       "      <td>1.780693</td>\n",
       "      <td>596016.20</td>\n",
       "      <td>-1.725750</td>\n",
       "      <td>-2.554189</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.305750</td>\n",
       "      <td>0.627527</td>\n",
       "      <td>84608.050</td>\n",
       "      <td>10652.912</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.413642</td>\n",
       "      <td>1.657720</td>\n",
       "      <td>9801.820</td>\n",
       "      <td>301995.70</td>\n",
       "      <td>-1.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.461494e-09</td>\n",
       "      <td>123177.900</td>\n",
       "      <td>0</td>\n",
       "      <td>51731.508</td>\n",
       "      <td>52780.684</td>\n",
       "      <td>0.101556</td>\n",
       "      <td>3.398984</td>\n",
       "      <td>590811.44</td>\n",
       "      <td>1.477704</td>\n",
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       "   FullEventWeight         MET  Topology    Zll_mass      Zll_pt  fatjet_C2  \\\n",
       "0     2.004522e-09   51609.760         1   35253.492   35612.324   0.109581   \n",
       "1     1.822626e-09  225038.800         1   20311.205   38644.793   0.090346   \n",
       "2     1.552981e-09   27090.697         1  134715.500  244261.840   0.212569   \n",
       "3     1.660535e-09   57572.890         0   69086.836   90045.625   0.133918   \n",
       "4     1.461494e-09  123177.900         0   51731.508   52780.684   0.101556   \n",
       "\n",
       "   fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  lep1_eta  lep1_phi  \\\n",
       "0   1.435712  461309.30   -1.195378    2.909157  ...  0.164823  1.042927   \n",
       "1   2.403266  276659.70    0.387434    3.050592  ... -1.871251  0.601309   \n",
       "2   1.336584  900965.50   -1.822714   -0.619062  ...  0.701193  2.446600   \n",
       "3   1.780693  596016.20   -1.725750   -2.554189  ... -2.305750  0.627527   \n",
       "4   3.398984  590811.44    1.477704    1.432744  ... -0.685020 -2.360906   \n",
       "\n",
       "      lep1_pt     lep2_E  lep2_charge  lep2_eta  lep2_phi    lep2_pt  \\\n",
       "0   38513.980  11072.072            1 -0.665443 -0.969063   9003.888   \n",
       "1   34191.734  34626.312            1 -1.975266  1.798074   9425.637   \n",
       "2  254871.310  17551.730           -1 -0.196344  0.185058  17218.764   \n",
       "3   84608.050  10652.912            1 -0.413642  1.657720   9801.820   \n",
       "4   50720.953  15453.791           -1  0.880629  2.436030  10932.975   \n",
       "\n",
       "   reco_zv_mass  truth_zv_mass  \n",
       "0     245723.92           -1.0  \n",
       "1     351938.88           -1.0  \n",
       "2    1046120.90           -1.0  \n",
       "3     301995.70           -1.0  \n",
       "4     376986.28           -1.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Top.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "46102ae5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <td>0.191874</td>\n",
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       "      <td>604275.70</td>\n",
       "      <td>1.041311</td>\n",
       "      <td>-0.817613</td>\n",
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       "      <td>0.122089</td>\n",
       "      <td>1.219367</td>\n",
       "      <td>612517.94</td>\n",
       "      <td>0.417858</td>\n",
       "      <td>-2.133300</td>\n",
       "      <td>...</td>\n",
       "      <td>1.217848</td>\n",
       "      <td>0.664946</td>\n",
       "      <td>228625.23</td>\n",
       "      <td>333899.970</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.695172</td>\n",
       "      <td>0.920596</td>\n",
       "      <td>118590.28</td>\n",
       "      <td>996837.40</td>\n",
       "      <td>999999.80</td>\n",
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       "    <tr>\n",
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       "      <td>21855.973</td>\n",
       "      <td>1</td>\n",
       "      <td>92313.63</td>\n",
       "      <td>535629.06</td>\n",
       "      <td>0.061306</td>\n",
       "      <td>0.592705</td>\n",
       "      <td>482630.90</td>\n",
       "      <td>0.438590</td>\n",
       "      <td>2.701475</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.045790</td>\n",
       "      <td>-0.626280</td>\n",
       "      <td>302502.84</td>\n",
       "      <td>243535.750</td>\n",
       "      <td>1</td>\n",
       "      <td>0.293053</td>\n",
       "      <td>-0.557273</td>\n",
       "      <td>233439.89</td>\n",
       "      <td>989655.56</td>\n",
       "      <td>1000008.80</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>33677.380</td>\n",
       "      <td>1</td>\n",
       "      <td>89451.92</td>\n",
       "      <td>296257.47</td>\n",
       "      <td>0.159334</td>\n",
       "      <td>0.724910</td>\n",
       "      <td>459737.80</td>\n",
       "      <td>1.213717</td>\n",
       "      <td>-0.926707</td>\n",
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       "      <td>-1.289961</td>\n",
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       "<p>5 rows × 24 columns</p>\n",
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      "text/plain": [
       "   FullEventWeight        MET  Topology  Zll_mass     Zll_pt  fatjet_C2  \\\n",
       "0         0.013603  44495.770         1  87475.55  627990.80   0.116438   \n",
       "1         0.242178  34441.156         1  90507.31  409780.94   0.191874   \n",
       "2         0.096412  21625.379         0  89765.85  344668.30   0.122089   \n",
       "3         0.096373  21855.973         1  92313.63  535629.06   0.061306   \n",
       "4         0.073052  33677.380         1  89451.92  296257.47   0.159334   \n",
       "\n",
       "   fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  lep1_eta  lep1_phi  \\\n",
       "0   0.889354  675246.25   -0.851387    2.042860  ... -0.906080 -1.876361   \n",
       "1   1.485706  604275.70    1.041311   -0.817613  ...  2.363212  2.032987   \n",
       "2   1.219367  612517.94    0.417858   -2.133300  ...  1.217848  0.664946   \n",
       "3   0.592705  482630.90    0.438590    2.701475  ... -0.045790 -0.626280   \n",
       "4   0.724910  459737.80    1.213717   -0.926707  ... -1.289961  2.238501   \n",
       "\n",
       "     lep1_pt      lep2_E  lep2_charge  lep2_eta  lep2_phi    lep2_pt  \\\n",
       "0  320104.62  495510.120           -1 -1.034808 -1.631069  312638.44   \n",
       "1  288589.78  579769.560            1  2.178999  2.466579  129548.62   \n",
       "2  228625.23  333899.970           -1  1.695172  0.920596  118590.28   \n",
       "3  302502.84  243535.750            1  0.293053 -0.557273  233439.89   \n",
       "4  224785.02   98477.516           -1 -0.747040  2.647597   76205.98   \n",
       "\n",
       "   reco_zv_mass  truth_zv_mass  \n",
       "0    1063465.80      999999.56  \n",
       "1     974210.75     1000003.60  \n",
       "2     996837.40      999999.80  \n",
       "3     989655.56     1000008.80  \n",
       "4     993398.30     1000011.90  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggH1000.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce99adae",
   "metadata": {},
   "source": [
    "All data well loaded"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48b7f0f9",
   "metadata": {},
   "source": [
    "### Check need for data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f9c16286",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(Zjets).sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "09cb3713",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(Diboson).sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "30caf0bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(Top).sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "acd33029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(ggH1000).sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1ea24b3",
   "metadata": {},
   "source": [
    "Data is clean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db05e726",
   "metadata": {},
   "source": [
    "### Plot 1D distributions for the first 9 variables listed in Table 1, with one plot per variable and the distributions categorised by physics process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ccaabd24",
   "metadata": {},
   "outputs": [],
   "source": [
    "var_names = [\"lep1_pt\",\"lep2_pt\",\"fatjet_pt\",\"fatjet_eta\",\"fatjet_D2\",\"Zll_mass\",\"Zll_pt\",\"MET\",\"reco_zv_mass\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4315bc34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x8000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,80))\n",
    "\n",
    "bins = [np.linspace(0,0.8e6,40),np.linspace(0,0.3e6,40),np.linspace(0,1e6,10),np.linspace(-2,2,40),\n",
    "        np.linspace(0,6,40),np.linspace(0,0.25e6,40),np.linspace(0,0.8e6,40),np.linspace(0,0.4e6,40),\n",
    "        np.linspace(0,1.5e6,40)]\n",
    "\n",
    "for i, var in enumerate(var_names):\n",
    "    ax = plt.subplot(15,3,i+1)\n",
    "    for j in [Zjets[var],Diboson[var],Top[var],ggH1000[var]]:\n",
    "        non_zero = np.count_nonzero(~np.isnan(j))\n",
    "        weights = np.ones_like(j)/float(non_zero)\n",
    "        plt.hist(j,alpha=0.5,bins=bins[i],weights=weights,histtype=\"step\")\n",
    "\n",
    "    plt.xlabel(var)\n",
    "    plt.ylabel(\"Fraction\")\n",
    "    plt.legend([\"Zjets\",\"Diboson\",\"Top\",\"ggH1000\"])        \n",
    "    \n",
    "plt.suptitle(\"First 9 vars in table1 (normalised)\",y=1,size=30)    \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f781f53",
   "metadata": {},
   "source": [
    "All variables provide a good level of separation between the Higgs signal and background events and are therefore useful for the classifier to improve its discrimination power by training on them."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "725e3635",
   "metadata": {},
   "source": [
    "## Exercise 2 (2 points)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b11b9d89",
   "metadata": {},
   "source": [
    "### a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "303d0e8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "random_seed = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "efe41707",
   "metadata": {},
   "outputs": [],
   "source": [
    "background = pd.concat([Zjets,Diboson,Top],ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c9a47b0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FullEventWeight</th>\n",
       "      <th>MET</th>\n",
       "      <th>Topology</th>\n",
       "      <th>Zll_mass</th>\n",
       "      <th>Zll_pt</th>\n",
       "      <th>fatjet_C2</th>\n",
       "      <th>fatjet_D2</th>\n",
       "      <th>fatjet_E</th>\n",
       "      <th>fatjet_eta</th>\n",
       "      <th>fatjet_phi</th>\n",
       "      <th>...</th>\n",
       "      <th>lep1_eta</th>\n",
       "      <th>lep1_phi</th>\n",
       "      <th>lep1_pt</th>\n",
       "      <th>lep2_E</th>\n",
       "      <th>lep2_charge</th>\n",
       "      <th>lep2_eta</th>\n",
       "      <th>lep2_phi</th>\n",
       "      <th>lep2_pt</th>\n",
       "      <th>reco_zv_mass</th>\n",
       "      <th>truth_zv_mass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.790471</td>\n",
       "      <td>177227.420</td>\n",
       "      <td>1</td>\n",
       "      <td>95697.766</td>\n",
       "      <td>64252.690</td>\n",
       "      <td>0.097862</td>\n",
       "      <td>1.895164</td>\n",
       "      <td>425871.88</td>\n",
       "      <td>-1.329446</td>\n",
       "      <td>-0.485957</td>\n",
       "      <td>...</td>\n",
       "      <td>1.782276</td>\n",
       "      <td>-1.057460</td>\n",
       "      <td>76128.370</td>\n",
       "      <td>12476.566</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.289019</td>\n",
       "      <td>1.966965</td>\n",
       "      <td>11973.011</td>\n",
       "      <td>596020.44</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.789204</td>\n",
       "      <td>10660.757</td>\n",
       "      <td>1</td>\n",
       "      <td>90289.914</td>\n",
       "      <td>32506.705</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>247948.36</td>\n",
       "      <td>-0.429050</td>\n",
       "      <td>2.770810</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.918399</td>\n",
       "      <td>-1.229385</td>\n",
       "      <td>40799.945</td>\n",
       "      <td>38147.754</td>\n",
       "      <td>1</td>\n",
       "      <td>0.847265</td>\n",
       "      <td>0.995251</td>\n",
       "      <td>27624.867</td>\n",
       "      <td>260357.19</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.872639</td>\n",
       "      <td>655334.400</td>\n",
       "      <td>1</td>\n",
       "      <td>92994.430</td>\n",
       "      <td>55287.625</td>\n",
       "      <td>0.059006</td>\n",
       "      <td>2.463149</td>\n",
       "      <td>630492.94</td>\n",
       "      <td>-0.543789</td>\n",
       "      <td>-2.190247</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.091297</td>\n",
       "      <td>0.865696</td>\n",
       "      <td>57988.660</td>\n",
       "      <td>29768.775</td>\n",
       "      <td>1</td>\n",
       "      <td>0.440004</td>\n",
       "      <td>-1.042492</td>\n",
       "      <td>27102.590</td>\n",
       "      <td>422698.44</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.772697</td>\n",
       "      <td>41489.973</td>\n",
       "      <td>1</td>\n",
       "      <td>89607.580</td>\n",
       "      <td>63405.484</td>\n",
       "      <td>0.265080</td>\n",
       "      <td>2.081222</td>\n",
       "      <td>610611.56</td>\n",
       "      <td>1.776149</td>\n",
       "      <td>-0.214862</td>\n",
       "      <td>...</td>\n",
       "      <td>1.238367</td>\n",
       "      <td>2.127853</td>\n",
       "      <td>55424.742</td>\n",
       "      <td>69817.470</td>\n",
       "      <td>1</td>\n",
       "      <td>0.809497</td>\n",
       "      <td>-2.276664</td>\n",
       "      <td>51873.030</td>\n",
       "      <td>302718.06</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.581337</td>\n",
       "      <td>41731.630</td>\n",
       "      <td>1</td>\n",
       "      <td>90199.480</td>\n",
       "      <td>47187.332</td>\n",
       "      <td>0.093765</td>\n",
       "      <td>2.321676</td>\n",
       "      <td>781746.90</td>\n",
       "      <td>-1.524169</td>\n",
       "      <td>-1.101946</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.116431</td>\n",
       "      <td>1.745413</td>\n",
       "      <td>68312.220</td>\n",
       "      <td>33509.810</td>\n",
       "      <td>1</td>\n",
       "      <td>0.598434</td>\n",
       "      <td>-1.972788</td>\n",
       "      <td>28290.979</td>\n",
       "      <td>461896.25</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   FullEventWeight         MET  Topology   Zll_mass     Zll_pt  fatjet_C2  \\\n",
       "0        -0.790471  177227.420         1  95697.766  64252.690   0.097862   \n",
       "1         0.789204   10660.757         1  90289.914  32506.705   0.000000   \n",
       "2        -0.872639  655334.400         1  92994.430  55287.625   0.059006   \n",
       "3        -0.772697   41489.973         1  89607.580  63405.484   0.265080   \n",
       "4         1.581337   41731.630         1  90199.480  47187.332   0.093765   \n",
       "\n",
       "   fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  lep1_eta  lep1_phi  \\\n",
       "0   1.895164  425871.88   -1.329446   -0.485957  ...  1.782276 -1.057460   \n",
       "1   0.000000  247948.36   -0.429050    2.770810  ... -0.918399 -1.229385   \n",
       "2   2.463149  630492.94   -0.543789   -2.190247  ... -1.091297  0.865696   \n",
       "3   2.081222  610611.56    1.776149   -0.214862  ...  1.238367  2.127853   \n",
       "4   2.321676  781746.90   -1.524169   -1.101946  ... -0.116431  1.745413   \n",
       "\n",
       "     lep1_pt     lep2_E  lep2_charge  lep2_eta  lep2_phi    lep2_pt  \\\n",
       "0  76128.370  12476.566            1 -0.289019  1.966965  11973.011   \n",
       "1  40799.945  38147.754            1  0.847265  0.995251  27624.867   \n",
       "2  57988.660  29768.775            1  0.440004 -1.042492  27102.590   \n",
       "3  55424.742  69817.470            1  0.809497 -2.276664  51873.030   \n",
       "4  68312.220  33509.810            1  0.598434 -1.972788  28290.979   \n",
       "\n",
       "   reco_zv_mass  truth_zv_mass  \n",
       "0     596020.44           -1.0  \n",
       "1     260357.19           -1.0  \n",
       "2     422698.44           -1.0  \n",
       "3     302718.06           -1.0  \n",
       "4     461896.25           -1.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "background.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a7d3b3fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "background = shuffle(background, random_state=random_seed)\n",
    "background.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c4c5c3cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "signal = ggH1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "62041007",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_signal = signal.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f36d285b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 50:50 training data split\n",
    "training_data = pd.concat([signal,background[:n_signal]],ignore_index=True)\n",
    "training_data = shuffle(training_data, random_state=random_seed)\n",
    "training_data.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1681d909",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FullEventWeight</th>\n",
       "      <th>MET</th>\n",
       "      <th>Topology</th>\n",
       "      <th>Zll_mass</th>\n",
       "      <th>Zll_pt</th>\n",
       "      <th>fatjet_C2</th>\n",
       "      <th>fatjet_D2</th>\n",
       "      <th>fatjet_E</th>\n",
       "      <th>fatjet_eta</th>\n",
       "      <th>fatjet_phi</th>\n",
       "      <th>...</th>\n",
       "      <th>lep1_eta</th>\n",
       "      <th>lep1_phi</th>\n",
       "      <th>lep1_pt</th>\n",
       "      <th>lep2_E</th>\n",
       "      <th>lep2_charge</th>\n",
       "      <th>lep2_eta</th>\n",
       "      <th>lep2_phi</th>\n",
       "      <th>lep2_pt</th>\n",
       "      <th>reco_zv_mass</th>\n",
       "      <th>truth_zv_mass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.846983</td>\n",
       "      <td>22827.674</td>\n",
       "      <td>1</td>\n",
       "      <td>87324.480</td>\n",
       "      <td>395082.220</td>\n",
       "      <td>0.106153</td>\n",
       "      <td>1.895171</td>\n",
       "      <td>580697.90</td>\n",
       "      <td>1.010929</td>\n",
       "      <td>-0.987410</td>\n",
       "      <td>...</td>\n",
       "      <td>1.184833</td>\n",
       "      <td>1.749762</td>\n",
       "      <td>228240.810</td>\n",
       "      <td>232407.920</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.830533</td>\n",
       "      <td>2.013982</td>\n",
       "      <td>170239.810</td>\n",
       "      <td>770587.94</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.763047</td>\n",
       "      <td>30422.560</td>\n",
       "      <td>0</td>\n",
       "      <td>85723.086</td>\n",
       "      <td>107484.945</td>\n",
       "      <td>0.144974</td>\n",
       "      <td>2.267384</td>\n",
       "      <td>639947.56</td>\n",
       "      <td>-1.627519</td>\n",
       "      <td>0.834819</td>\n",
       "      <td>...</td>\n",
       "      <td>0.884812</td>\n",
       "      <td>-2.701951</td>\n",
       "      <td>72889.120</td>\n",
       "      <td>128148.930</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.383289</td>\n",
       "      <td>-1.428691</td>\n",
       "      <td>60465.430</td>\n",
       "      <td>759062.50</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.067073</td>\n",
       "      <td>38693.664</td>\n",
       "      <td>0</td>\n",
       "      <td>92824.600</td>\n",
       "      <td>515638.900</td>\n",
       "      <td>0.097164</td>\n",
       "      <td>0.949827</td>\n",
       "      <td>442687.28</td>\n",
       "      <td>0.437188</td>\n",
       "      <td>-2.953364</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.312858</td>\n",
       "      <td>0.359559</td>\n",
       "      <td>321249.660</td>\n",
       "      <td>208711.730</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.248653</td>\n",
       "      <td>0.719804</td>\n",
       "      <td>202421.690</td>\n",
       "      <td>971034.06</td>\n",
       "      <td>999999.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.812856</td>\n",
       "      <td>76161.660</td>\n",
       "      <td>0</td>\n",
       "      <td>90846.516</td>\n",
       "      <td>210837.440</td>\n",
       "      <td>0.094007</td>\n",
       "      <td>2.403719</td>\n",
       "      <td>239233.97</td>\n",
       "      <td>0.102582</td>\n",
       "      <td>-0.349377</td>\n",
       "      <td>...</td>\n",
       "      <td>2.037646</td>\n",
       "      <td>2.638733</td>\n",
       "      <td>187892.360</td>\n",
       "      <td>176665.030</td>\n",
       "      <td>-1</td>\n",
       "      <td>2.126372</td>\n",
       "      <td>-2.569043</td>\n",
       "      <td>41550.320</td>\n",
       "      <td>707784.80</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.067777</td>\n",
       "      <td>28144.002</td>\n",
       "      <td>1</td>\n",
       "      <td>92085.800</td>\n",
       "      <td>473327.030</td>\n",
       "      <td>0.018966</td>\n",
       "      <td>1.274933</td>\n",
       "      <td>438636.78</td>\n",
       "      <td>0.085130</td>\n",
       "      <td>2.312056</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.583793</td>\n",
       "      <td>-0.846083</td>\n",
       "      <td>377572.340</td>\n",
       "      <td>119077.530</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.522715</td>\n",
       "      <td>-1.309828</td>\n",
       "      <td>104476.484</td>\n",
       "      <td>966869.30</td>\n",
       "      <td>999999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100021</th>\n",
       "      <td>0.861098</td>\n",
       "      <td>19323.857</td>\n",
       "      <td>1</td>\n",
       "      <td>78208.740</td>\n",
       "      <td>94247.055</td>\n",
       "      <td>0.152209</td>\n",
       "      <td>1.393289</td>\n",
       "      <td>650673.30</td>\n",
       "      <td>-1.021939</td>\n",
       "      <td>0.461554</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.644479</td>\n",
       "      <td>-3.046992</td>\n",
       "      <td>83195.130</td>\n",
       "      <td>112043.370</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.710780</td>\n",
       "      <td>1.730281</td>\n",
       "      <td>39217.150</td>\n",
       "      <td>436876.72</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100022</th>\n",
       "      <td>0.777777</td>\n",
       "      <td>159252.060</td>\n",
       "      <td>1</td>\n",
       "      <td>88197.550</td>\n",
       "      <td>88585.430</td>\n",
       "      <td>0.183168</td>\n",
       "      <td>1.140959</td>\n",
       "      <td>395787.40</td>\n",
       "      <td>1.160833</td>\n",
       "      <td>2.668340</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.739448</td>\n",
       "      <td>0.260091</td>\n",
       "      <td>98142.710</td>\n",
       "      <td>54483.777</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.723455</td>\n",
       "      <td>2.447735</td>\n",
       "      <td>18845.006</td>\n",
       "      <td>511042.62</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100023</th>\n",
       "      <td>0.094302</td>\n",
       "      <td>31016.588</td>\n",
       "      <td>0</td>\n",
       "      <td>93739.945</td>\n",
       "      <td>368229.500</td>\n",
       "      <td>0.088239</td>\n",
       "      <td>2.256202</td>\n",
       "      <td>321748.70</td>\n",
       "      <td>0.016378</td>\n",
       "      <td>-0.230039</td>\n",
       "      <td>...</td>\n",
       "      <td>1.560996</td>\n",
       "      <td>-3.134791</td>\n",
       "      <td>278702.800</td>\n",
       "      <td>281457.440</td>\n",
       "      <td>1</td>\n",
       "      <td>1.687556</td>\n",
       "      <td>2.596319</td>\n",
       "      <td>100678.320</td>\n",
       "      <td>928582.80</td>\n",
       "      <td>1000004.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100024</th>\n",
       "      <td>-0.791952</td>\n",
       "      <td>29054.264</td>\n",
       "      <td>1</td>\n",
       "      <td>95345.984</td>\n",
       "      <td>279702.470</td>\n",
       "      <td>0.070635</td>\n",
       "      <td>5.715883</td>\n",
       "      <td>656091.10</td>\n",
       "      <td>-1.726404</td>\n",
       "      <td>2.280387</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.652514</td>\n",
       "      <td>-1.020464</td>\n",
       "      <td>227983.050</td>\n",
       "      <td>286038.970</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.269160</td>\n",
       "      <td>-1.564611</td>\n",
       "      <td>58526.582</td>\n",
       "      <td>515138.00</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100025</th>\n",
       "      <td>0.777656</td>\n",
       "      <td>51710.570</td>\n",
       "      <td>1</td>\n",
       "      <td>90437.480</td>\n",
       "      <td>85808.730</td>\n",
       "      <td>0.126349</td>\n",
       "      <td>1.017637</td>\n",
       "      <td>452313.66</td>\n",
       "      <td>-1.251876</td>\n",
       "      <td>-0.556451</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094150</td>\n",
       "      <td>-3.037701</td>\n",
       "      <td>74741.914</td>\n",
       "      <td>58160.280</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.842190</td>\n",
       "      <td>1.673185</td>\n",
       "      <td>42264.410</td>\n",
       "      <td>376519.30</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100026 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        FullEventWeight         MET  Topology   Zll_mass      Zll_pt  \\\n",
       "0              0.846983   22827.674         1  87324.480  395082.220   \n",
       "1              0.763047   30422.560         0  85723.086  107484.945   \n",
       "2              0.067073   38693.664         0  92824.600  515638.900   \n",
       "3             -0.812856   76161.660         0  90846.516  210837.440   \n",
       "4              0.067777   28144.002         1  92085.800  473327.030   \n",
       "...                 ...         ...       ...        ...         ...   \n",
       "100021         0.861098   19323.857         1  78208.740   94247.055   \n",
       "100022         0.777777  159252.060         1  88197.550   88585.430   \n",
       "100023         0.094302   31016.588         0  93739.945  368229.500   \n",
       "100024        -0.791952   29054.264         1  95345.984  279702.470   \n",
       "100025         0.777656   51710.570         1  90437.480   85808.730   \n",
       "\n",
       "        fatjet_C2  fatjet_D2   fatjet_E  fatjet_eta  fatjet_phi  ...  \\\n",
       "0        0.106153   1.895171  580697.90    1.010929   -0.987410  ...   \n",
       "1        0.144974   2.267384  639947.56   -1.627519    0.834819  ...   \n",
       "2        0.097164   0.949827  442687.28    0.437188   -2.953364  ...   \n",
       "3        0.094007   2.403719  239233.97    0.102582   -0.349377  ...   \n",
       "4        0.018966   1.274933  438636.78    0.085130    2.312056  ...   \n",
       "...           ...        ...        ...         ...         ...  ...   \n",
       "100021   0.152209   1.393289  650673.30   -1.021939    0.461554  ...   \n",
       "100022   0.183168   1.140959  395787.40    1.160833    2.668340  ...   \n",
       "100023   0.088239   2.256202  321748.70    0.016378   -0.230039  ...   \n",
       "100024   0.070635   5.715883  656091.10   -1.726404    2.280387  ...   \n",
       "100025   0.126349   1.017637  452313.66   -1.251876   -0.556451  ...   \n",
       "\n",
       "        lep1_eta  lep1_phi     lep1_pt      lep2_E  lep2_charge  lep2_eta  \\\n",
       "0       1.184833  1.749762  228240.810  232407.920           -1  0.830533   \n",
       "1       0.884812 -2.701951   72889.120  128148.930           -1  1.383289   \n",
       "2      -0.312858  0.359559  321249.660  208711.730            1 -0.248653   \n",
       "3       2.037646  2.638733  187892.360  176665.030           -1  2.126372   \n",
       "4      -0.583793 -0.846083  377572.340  119077.530            1 -0.522715   \n",
       "...          ...       ...         ...         ...          ...       ...   \n",
       "100021 -1.644479 -3.046992   83195.130  112043.370           -1 -1.710780   \n",
       "100022 -0.739448  0.260091   98142.710   54483.777           -1 -1.723455   \n",
       "100023  1.560996 -3.134791  278702.800  281457.440            1  1.687556   \n",
       "100024 -1.652514 -1.020464  227983.050  286038.970            1 -2.269160   \n",
       "100025 -0.094150 -3.037701   74741.914   58160.280           -1 -0.842190   \n",
       "\n",
       "        lep2_phi     lep2_pt  reco_zv_mass  truth_zv_mass  \n",
       "0       2.013982  170239.810     770587.94           -1.0  \n",
       "1      -1.428691   60465.430     759062.50           -1.0  \n",
       "2       0.719804  202421.690     971034.06       999999.2  \n",
       "3      -2.569043   41550.320     707784.80           -1.0  \n",
       "4      -1.309828  104476.484     966869.30       999999.0  \n",
       "...          ...         ...           ...            ...  \n",
       "100021  1.730281   39217.150     436876.72           -1.0  \n",
       "100022  2.447735   18845.006     511042.62           -1.0  \n",
       "100023  2.596319  100678.320     928582.80      1000004.7  \n",
       "100024 -1.564611   58526.582     515138.00           -1.0  \n",
       "100025  1.673185   42264.410     376519.30           -1.0  \n",
       "\n",
       "[100026 rows x 24 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fa7579d",
   "metadata": {},
   "source": [
    "### b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d560dc85",
   "metadata": {},
   "outputs": [],
   "source": [
    "select_training = training_data[var_names[:-1]+[\"isSignal\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5ff4a82f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lep1_pt</th>\n",
       "      <th>lep2_pt</th>\n",
       "      <th>fatjet_pt</th>\n",
       "      <th>fatjet_eta</th>\n",
       "      <th>fatjet_D2</th>\n",
       "      <th>Zll_mass</th>\n",
       "      <th>Zll_pt</th>\n",
       "      <th>MET</th>\n",
       "      <th>isSignal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>228240.810</td>\n",
       "      <td>170239.810</td>\n",
       "      <td>372447.25</td>\n",
       "      <td>1.010929</td>\n",
       "      <td>1.895171</td>\n",
       "      <td>87324.480</td>\n",
       "      <td>395082.220</td>\n",
       "      <td>22827.674</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>72889.120</td>\n",
       "      <td>60465.430</td>\n",
       "      <td>241767.25</td>\n",
       "      <td>-1.627519</td>\n",
       "      <td>2.267384</td>\n",
       "      <td>85723.086</td>\n",
       "      <td>107484.945</td>\n",
       "      <td>30422.560</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>321249.660</td>\n",
       "      <td>202421.690</td>\n",
       "      <td>397424.78</td>\n",
       "      <td>0.437188</td>\n",
       "      <td>0.949827</td>\n",
       "      <td>92824.600</td>\n",
       "      <td>515638.900</td>\n",
       "      <td>38693.664</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>187892.360</td>\n",
       "      <td>41550.320</td>\n",
       "      <td>237300.92</td>\n",
       "      <td>0.102582</td>\n",
       "      <td>2.403719</td>\n",
       "      <td>90846.516</td>\n",
       "      <td>210837.440</td>\n",
       "      <td>76161.660</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>377572.340</td>\n",
       "      <td>104476.484</td>\n",
       "      <td>436885.88</td>\n",
       "      <td>0.085130</td>\n",
       "      <td>1.274933</td>\n",
       "      <td>92085.800</td>\n",
       "      <td>473327.030</td>\n",
       "      <td>28144.002</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100021</th>\n",
       "      <td>83195.130</td>\n",
       "      <td>39217.150</td>\n",
       "      <td>412134.00</td>\n",
       "      <td>-1.021939</td>\n",
       "      <td>1.393289</td>\n",
       "      <td>78208.740</td>\n",
       "      <td>94247.055</td>\n",
       "      <td>19323.857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100022</th>\n",
       "      <td>98142.710</td>\n",
       "      <td>18845.006</td>\n",
       "      <td>224801.53</td>\n",
       "      <td>1.160833</td>\n",
       "      <td>1.140959</td>\n",
       "      <td>88197.550</td>\n",
       "      <td>88585.430</td>\n",
       "      <td>159252.060</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100023</th>\n",
       "      <td>278702.800</td>\n",
       "      <td>100678.320</td>\n",
       "      <td>320630.72</td>\n",
       "      <td>0.016378</td>\n",
       "      <td>2.256202</td>\n",
       "      <td>93739.945</td>\n",
       "      <td>368229.500</td>\n",
       "      <td>31016.588</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100024</th>\n",
       "      <td>227983.050</td>\n",
       "      <td>58526.582</td>\n",
       "      <td>226273.50</td>\n",
       "      <td>-1.726404</td>\n",
       "      <td>5.715883</td>\n",
       "      <td>95345.984</td>\n",
       "      <td>279702.470</td>\n",
       "      <td>29054.264</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100025</th>\n",
       "      <td>74741.914</td>\n",
       "      <td>42264.410</td>\n",
       "      <td>234033.92</td>\n",
       "      <td>-1.251876</td>\n",
       "      <td>1.017637</td>\n",
       "      <td>90437.480</td>\n",
       "      <td>85808.730</td>\n",
       "      <td>51710.570</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100026 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           lep1_pt     lep2_pt  fatjet_pt  fatjet_eta  fatjet_D2   Zll_mass  \\\n",
       "0       228240.810  170239.810  372447.25    1.010929   1.895171  87324.480   \n",
       "1        72889.120   60465.430  241767.25   -1.627519   2.267384  85723.086   \n",
       "2       321249.660  202421.690  397424.78    0.437188   0.949827  92824.600   \n",
       "3       187892.360   41550.320  237300.92    0.102582   2.403719  90846.516   \n",
       "4       377572.340  104476.484  436885.88    0.085130   1.274933  92085.800   \n",
       "...            ...         ...        ...         ...        ...        ...   \n",
       "100021   83195.130   39217.150  412134.00   -1.021939   1.393289  78208.740   \n",
       "100022   98142.710   18845.006  224801.53    1.160833   1.140959  88197.550   \n",
       "100023  278702.800  100678.320  320630.72    0.016378   2.256202  93739.945   \n",
       "100024  227983.050   58526.582  226273.50   -1.726404   5.715883  95345.984   \n",
       "100025   74741.914   42264.410  234033.92   -1.251876   1.017637  90437.480   \n",
       "\n",
       "            Zll_pt         MET  isSignal  \n",
       "0       395082.220   22827.674         0  \n",
       "1       107484.945   30422.560         0  \n",
       "2       515638.900   38693.664         1  \n",
       "3       210837.440   76161.660         0  \n",
       "4       473327.030   28144.002         1  \n",
       "...            ...         ...       ...  \n",
       "100021   94247.055   19323.857         0  \n",
       "100022   88585.430  159252.060         0  \n",
       "100023  368229.500   31016.588         1  \n",
       "100024  279702.470   29054.264         0  \n",
       "100025   85808.730   51710.570         0  \n",
       "\n",
       "[100026 rows x 9 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "31087a66",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x4000 with 28 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,40))\n",
    "count = 1\n",
    "features = select_training.columns[:-1]\n",
    "for i, var1 in enumerate(features[:-1]):\n",
    "    for j,var2 in enumerate(features[i+1:]):\n",
    "        ax = plt.subplot(15,3,count)\n",
    "        count +=1\n",
    "        for signal in [0,1]:\n",
    "            mask = select_training.isSignal == signal\n",
    "            plt.scatter(select_training[var1][mask],select_training[var2][mask], marker=\".\")\n",
    "        \n",
    "        plt.xlabel(var1)\n",
    "        plt.ylabel(var2)\n",
    "        plt.legend([\"Background\",\"Signal\"])        \n",
    "    \n",
    "plt.suptitle(\"2D scatter plots of the 8 features\",y=1,size=30)    \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04f8b41d",
   "metadata": {},
   "source": [
    "Most of the plots show some sort of correlation between the variables, so this suggests that a deeper network would perform better as it can learn these correlations to provide better discriminating power."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62389531",
   "metadata": {},
   "source": [
    "## Exercise 3 (1 point)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ff1b8f87",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = select_training[select_training.columns[:-1]]\n",
    "target = select_training.isSignal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "129b628c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(70018, 8) (30008, 8) (70018,) (30008,)\n"
     ]
    }
   ],
   "source": [
    "sc = preprocessing.StandardScaler()\n",
    "features = sc.fit_transform(features)\n",
    "# set random seed\n",
    "Answer_to_all_questions = 42\n",
    "# train - test split of dataset\n",
    "x_train, x_test, y_train, y_test = model_selection.train_test_split(features, target, test_size=0.3,\n",
    "                                                                    random_state = Answer_to_all_questions)\n",
    "print (x_train.shape, x_test.shape, y_train.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b08b80e3",
   "metadata": {},
   "source": [
    "## Exercise 4 (3 points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "701a098a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def my_model(num_inputs, num_nodes, extra_depth,drop_out):\n",
    "    # create model\n",
    "    model = Sequential()\n",
    "    model.add(Dense(num_nodes, input_dim=num_inputs, kernel_initializer=\"normal\", activation=\"relu\"))\n",
    "    model.add(Dropout(drop_out))\n",
    "    for i in range (extra_depth):\n",
    "    # code up the extra layers here\n",
    "        model.add(Dense(num_nodes, kernel_initializer=\"normal\", activation=\"relu\"))\n",
    "        model.add(Dropout(drop_out))\n",
    "    model.add(Dense(1, activation=\"sigmoid\"))\n",
    "    # Compile model\n",
    "    model.compile(loss=\"binary_crossentropy\",optimizer=\"adam\", metrics =[\"accuracy\"])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0744bb10",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-03-17 01:49:51.140973: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "num_nodes = 20\n",
    "extra_depth=1\n",
    "drop_out=0.2\n",
    "model = my_model(x_train.shape[1],num_nodes,extra_depth,drop_out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7b80f291",
   "metadata": {},
   "outputs": [],
   "source": [
    "batchSize = 500\n",
    "N_epochs = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6efa4698",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "141/141 [==============================] - 1s 5ms/step - loss: 0.4883 - accuracy: 0.8471 - val_loss: 0.3268 - val_accuracy: 0.8739\n",
      "Epoch 2/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.3274 - accuracy: 0.8750 - val_loss: 0.2896 - val_accuracy: 0.8862\n",
      "Epoch 3/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.3081 - accuracy: 0.8810 - val_loss: 0.2821 - val_accuracy: 0.8881\n",
      "Epoch 4/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.3049 - accuracy: 0.8811 - val_loss: 0.2798 - val_accuracy: 0.8886\n",
      "Epoch 5/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.3021 - accuracy: 0.8823 - val_loss: 0.2783 - val_accuracy: 0.8890\n",
      "Epoch 6/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.3002 - accuracy: 0.8835 - val_loss: 0.2770 - val_accuracy: 0.8907\n",
      "Epoch 7/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2992 - accuracy: 0.8827 - val_loss: 0.2755 - val_accuracy: 0.8909\n",
      "Epoch 8/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2991 - accuracy: 0.8834 - val_loss: 0.2749 - val_accuracy: 0.8901\n",
      "Epoch 9/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2962 - accuracy: 0.8838 - val_loss: 0.2729 - val_accuracy: 0.8910\n",
      "Epoch 10/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2940 - accuracy: 0.8846 - val_loss: 0.2718 - val_accuracy: 0.8909\n",
      "Epoch 11/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2936 - accuracy: 0.8836 - val_loss: 0.2704 - val_accuracy: 0.8913\n",
      "Epoch 12/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2916 - accuracy: 0.8851 - val_loss: 0.2694 - val_accuracy: 0.8926\n",
      "Epoch 13/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2907 - accuracy: 0.8852 - val_loss: 0.2682 - val_accuracy: 0.8934\n",
      "Epoch 14/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2894 - accuracy: 0.8859 - val_loss: 0.2675 - val_accuracy: 0.8925\n",
      "Epoch 15/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2899 - accuracy: 0.8850 - val_loss: 0.2667 - val_accuracy: 0.8937\n",
      "Epoch 16/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2884 - accuracy: 0.8861 - val_loss: 0.2666 - val_accuracy: 0.8945\n",
      "Epoch 17/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2874 - accuracy: 0.8853 - val_loss: 0.2660 - val_accuracy: 0.8943\n",
      "Epoch 18/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2857 - accuracy: 0.8861 - val_loss: 0.2650 - val_accuracy: 0.8939\n",
      "Epoch 19/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2871 - accuracy: 0.8854 - val_loss: 0.2646 - val_accuracy: 0.8940\n",
      "Epoch 20/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2849 - accuracy: 0.8859 - val_loss: 0.2638 - val_accuracy: 0.8942\n",
      "Epoch 21/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2845 - accuracy: 0.8864 - val_loss: 0.2637 - val_accuracy: 0.8940\n",
      "Epoch 22/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2837 - accuracy: 0.8872 - val_loss: 0.2636 - val_accuracy: 0.8941\n",
      "Epoch 23/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2843 - accuracy: 0.8868 - val_loss: 0.2625 - val_accuracy: 0.8949\n",
      "Epoch 24/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2837 - accuracy: 0.8870 - val_loss: 0.2631 - val_accuracy: 0.8943\n",
      "Epoch 25/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2830 - accuracy: 0.8874 - val_loss: 0.2621 - val_accuracy: 0.8945\n",
      "Epoch 26/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2829 - accuracy: 0.8876 - val_loss: 0.2618 - val_accuracy: 0.8951\n",
      "Epoch 27/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2822 - accuracy: 0.8881 - val_loss: 0.2617 - val_accuracy: 0.8943\n",
      "Epoch 28/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2825 - accuracy: 0.8876 - val_loss: 0.2613 - val_accuracy: 0.8952\n",
      "Epoch 29/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2823 - accuracy: 0.8876 - val_loss: 0.2612 - val_accuracy: 0.8953\n",
      "Epoch 30/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2825 - accuracy: 0.8879 - val_loss: 0.2604 - val_accuracy: 0.8955\n",
      "Epoch 31/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2819 - accuracy: 0.8871 - val_loss: 0.2602 - val_accuracy: 0.8955\n",
      "Epoch 32/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2808 - accuracy: 0.8894 - val_loss: 0.2598 - val_accuracy: 0.8956\n",
      "Epoch 33/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2811 - accuracy: 0.8875 - val_loss: 0.2600 - val_accuracy: 0.8963\n",
      "Epoch 34/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2804 - accuracy: 0.8889 - val_loss: 0.2592 - val_accuracy: 0.8956\n",
      "Epoch 35/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2800 - accuracy: 0.8890 - val_loss: 0.2594 - val_accuracy: 0.8954\n",
      "Epoch 36/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2805 - accuracy: 0.8885 - val_loss: 0.2586 - val_accuracy: 0.8963\n",
      "Epoch 37/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2807 - accuracy: 0.8875 - val_loss: 0.2586 - val_accuracy: 0.8959\n",
      "Epoch 38/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.2785 - accuracy: 0.8892 - val_loss: 0.2583 - val_accuracy: 0.8956\n",
      "Epoch 39/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2795 - accuracy: 0.8882 - val_loss: 0.2581 - val_accuracy: 0.8956\n",
      "Epoch 40/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.2779 - accuracy: 0.8898 - val_loss: 0.2576 - val_accuracy: 0.8958\n",
      "Epoch 41/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2784 - accuracy: 0.8898 - val_loss: 0.2576 - val_accuracy: 0.8963\n",
      "Epoch 42/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2780 - accuracy: 0.8893 - val_loss: 0.2570 - val_accuracy: 0.8958\n",
      "Epoch 43/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2775 - accuracy: 0.8896 - val_loss: 0.2570 - val_accuracy: 0.8967\n",
      "Epoch 44/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2772 - accuracy: 0.8890 - val_loss: 0.2571 - val_accuracy: 0.8967\n",
      "Epoch 45/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2764 - accuracy: 0.8901 - val_loss: 0.2566 - val_accuracy: 0.8973\n",
      "Epoch 46/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2755 - accuracy: 0.8898 - val_loss: 0.2565 - val_accuracy: 0.8969\n",
      "Epoch 47/50\n",
      "141/141 [==============================] - 0s 3ms/step - loss: 0.2762 - accuracy: 0.8892 - val_loss: 0.2560 - val_accuracy: 0.8974\n",
      "Epoch 48/50\n",
      "141/141 [==============================] - 1s 4ms/step - loss: 0.2754 - accuracy: 0.8896 - val_loss: 0.2563 - val_accuracy: 0.8964\n",
      "Epoch 49/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.2769 - accuracy: 0.8892 - val_loss: 0.2555 - val_accuracy: 0.8970\n",
      "Epoch 50/50\n",
      "141/141 [==============================] - 0s 4ms/step - loss: 0.2744 - accuracy: 0.8900 - val_loss: 0.2558 - val_accuracy: 0.8973\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train,y_train,batch_size=batchSize,epochs=N_epochs,verbose=1,\n",
    "                    validation_data=(x_test,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "eb91117e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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k7PNdu3aVx+MJO75w4UKNGTNG/fv3l8/n0wMPPKD8/Hw99NBDpt7bD/G6WAsIAACrWBqApk2bppKSEi1atEgFBQUaMmSIXn31VfXs2VOSVFBQ8INrAn1fWVmZrr32WhUWFiolJUWnnnqq3nvvPY0aNSoSt9BqHifbYQAAYBWbwUI0Lfh8PqWkpKi8vFzJyckR+Y4L/7xGm/aW69FZI3RWbssxTwAA4Pgcz99vy2eBxSr2AwMAwDoEIIu4m/cDowsMAADTEYAs0rwadA0BCAAA0xGALOKhCwwAAMsQgCzipQsMAADLEIAscqgFiAAEAIDZCEAWIQABAGAdApBFGAMEAIB1CEAW8TSNAWIWGAAA5iMAWYStMAAAsA4ByCJeF11gAABYhQBkEQ/T4AEAsAwByCJ0gQEAYB0CkEU8zV1gDQQgAADMRgCyyKEWIMYAAQBgNgKQRULT4P20AAEAYDYCkEWaZ4HV0QUGAIDpCEAWoQsMAADrEIAs0rwVBitBAwBgPgKQRbxNASgQNFQfoBUIAAAzEYAs4o47VPWsBQQAgLkIQBZxO+2y2Rqf0w0GAIC5CEAWsdlsoYHQdQyEBgDAVAQgC7EfGAAA1iAAWYiZYAAAWIMAZKHmmWCsBQQAgLkIQBZyx7EjPAAAViAAWSi0HxgBCAAAUxGALOSlBQgAAEsQgCzUPAiaafAAAJiLAGQhusAAALAGAchCHrrAAACwBAHIQh6mwQMAYAkCkIWat8KgCwwAAHMRgCzEVhgAAFiDAGSh5mnwdQ0EIAAAzEQAslBoLzA/AQgAADMRgCx0qAuMQdAAAJiJAGSh0CwwusAAADAVAchCdIEBAGANApCFDrUA0QUGAICZCEAWCs0CYxo8AACmIgBZiL3AAACwBgHIQuwFBgCANQhAFmIvMAAArEEAshBdYAAAWIMAZKHmFiB/Q1DBoGFxaQAAiB0EIAs1zwKTpDqmwgMAYBoCkIU83wlADIQGAMA8BCALOew2xTlskhgHBACAmQhAFmMqPAAA5iMAWYyp8AAAmI8AZDGmwgMAYD4CkMXYDwwAAPMRgCx2aEd4AhAAAGYhAFnM42wMQDV+xgABAGAWApDFPC5mgQEAYDYCkMU8zsZfAV1gAACYhwBkseYxQDV+AhAAAGYhAFksNAuMvcAAADANAchizesAMQYIAADzEIAsRhcYAADmIwBZjHWAAAAwHwHIYuwFBgCA+QhAFmMvMAAAzEcAspiHvcAAADAdAchiXrrAAAAwneUBaMmSJerdu7c8Ho+GDx+u1atXH9Pn1q5dK6fTqVNOOaXFe88//7wGDx4st9utwYMH64UXXmjnUrcfusAAADCfpQHomWee0a233qrbb79dGzdu1Pjx4zVlyhTt2rXrqJ8rLy/XlVdeqUmTJrV47/3339e0adM0c+ZMffrpp5o5c6Yuv/xyffDBB5G6jTZxx7EXGAAAZrMZhmFY9eWjR4/WaaedpqVLl4aODRo0SFOnTtXixYuP+Lmf/OQn6t+/vxwOh1588UXl5+eH3ps2bZp8Pp9ee+210LFzzz1XaWlpevrpp4+pXD6fTykpKSovL1dycvLx39hxWP9NiX6ybL36dknQW/95ZkS/CwCAE9nx/P22rAXI7/drw4YNmjx5ctjxyZMna926dUf83GOPPabt27dr/vz5h33//fffb3HNH/3oR0e9ppWYBg8AgPmcVn1xcXGxAoGAMjIywo5nZGSosLDwsJ/Ztm2b5s6dq9WrV8vpPHzRCwsLj+uaklRXV6e6urrQa5/Pd6y30WZshQEAgPksHwRts9nCXhuG0eKYJAUCAc2YMUMLFy7UgAED2uWazRYvXqyUlJTQIycn5zjuoG28jAECAMB0lgWgzp07y+FwtGiZKSoqatGCI0kVFRX6+OOPddNNN8npdMrpdGrRokX69NNP5XQ69fbbb0uSMjMzj/mazebNm6fy8vLQY/fu3e1wh8cmtBdYfUAWDscCACCmWBaAXC6Xhg8frpUrV4YdX7lypcaOHdvi/OTkZG3atEn5+fmhx+zZszVw4EDl5+dr9OjRkqS8vLwW13zjjTcOe81mbrdbycnJYQ+zeJyNAShoSPUBAhAAAGawbAyQJM2ZM0czZ87UiBEjlJeXp2XLlmnXrl2aPXu2pMaWmb1792r58uWy2+0aMmRI2Oe7du0qj8cTdvyWW27RGWecobvvvlsXXXSRXnrpJb355ptas2aNqfd2rDyuQxm0tiEgl9PyXkkAAE54lgagadOmqaSkRIsWLVJBQYGGDBmiV199VT179pQkFRQU/OCaQN83duxYrVixQr/+9a/1m9/8Rn379tUzzzwTaiGKNi6HXTabZBhSrT+gZE+c1UUCAOCEZ+k6QNHKzHWAJGnQb/6tmvqA3vuvieqRHh/x7wMA4ETUIdYBwiFeV9NMsAZmggEAYAYCUBTwNI37qfETgAAAMAMBKAp4WAsIAABTEYCiQCgANbAdBgAAZiAARQG2wwAAwFwEoChAFxgAAOYiAEUB9gMDAMBcBKAocKgFiDFAAACYgQAUBdxNY4BqaAECAMAUBKAoQBcYAADmIgBFAbrAAAAwV6sC0O7du7Vnz57Q6w8//FC33nqrli1b1m4FiyVMgwcAwFytCkAzZszQO++8I0kqLCzUOeecow8//FC/+tWvtGjRonYtYCygCwwAAHO1KgB9/vnnGjVqlCTp2Wef1ZAhQ7Ru3Tr9/e9/1+OPP96e5YsJrAMEAIC5WhWA6uvr5Xa7JUlvvvmmfvzjH0uScnNzVVBQ0H6lixHupgDELDAAAMzRqgB00kkn6eGHH9bq1au1cuVKnXvuuZKkffv2KT09vV0LGAu8DIIGAMBUrQpAd999t/7yl7/ozDPP1PTp0zVs2DBJ0ssvvxzqGsOxYxA0AADmcrbmQ2eeeaaKi4vl8/mUlpYWOn7ttdcqPj6+3QoXKzxOxgABAGCmVrUA1dTUqK6uLhR+du7cqfvvv19bt25V165d27WAsYB1gAAAMFerAtBFF12k5cuXS5LKyso0evRo/fGPf9TUqVO1dOnSdi1gLPC6mrrAGmgBAgDADK0KQJ988onGjx8vSfrHP/6hjIwM7dy5U8uXL9cDDzzQrgWMBe6mLrAaPwEIAAAztCoAVVdXKykpSZL0xhtv6JJLLpHdbteYMWO0c+fOdi1gLGAdIAAAzNWqANSvXz+9+OKL2r17t15//XVNnjxZklRUVKTk5OR2LWAs8LqaAlADY4AAADBDqwLQHXfcodtuu029evXSqFGjlJeXJ6mxNejUU09t1wLGAo+z8dfgbwgqEDQsLg0AACe+Vk2Dv+yyy3T66aeroKAgtAaQJE2aNEkXX3xxuxUuVjR3gUlSXUNA8a5W/VoAAMAxavVf2szMTGVmZmrPnj2y2Wzq3r07iyC20ncDUG19UPEuCwsDAEAMaFUXWDAY1KJFi5SSkqKePXuqR48eSk1N1W9/+1sFg4xjOV4Ou00uR+Ovgv3AAACIvFa1AN1+++165JFHdNddd2ncuHEyDENr167VggULVFtbq9/97nftXc4TnjvOLn8gyEwwAABM0KoA9MQTT+ivf/1raBd4SRo2bJi6d++uG264gQDUCt44hypqGwhAAACYoFVdYKWlpcrNzW1xPDc3V6WlpW0uVCxiLSAAAMzTqgA0bNgwPfjggy2OP/jggxo6dGibCxWLDu0IzxgqAAAirVVdYL///e91/vnn680331ReXp5sNpvWrVun3bt369VXX23vMsYELy1AAACYplUtQBMmTNBXX32liy++WGVlZSotLdUll1yiL774Qo899lh7lzEmuJsCELPAAACIvFavA9StW7cWg50//fRTPfHEE3r00UfbXLBYc2gMEF1gAABEWqtagND+vKExQLQAAQAQaQSgKMEsMAAAzEMAihIeJwEIAACzHNcYoEsuueSo75eVlbWlLDHN62IMEAAAZjmuAJSSkvKD71955ZVtKlCscjMGCAAA0xxXAGKKe+Q0d4ExDR4AgMhjDFCUoAsMAADzEICihMfZ1AXWQAsQAACRRgCKEqFp8H4CEAAAkUYAihKhLjBagAAAiDgCUJRwOxkDBACAWQhAUcLTNA2+hi4wAAAijgAUJbxxdIEBAGAWAlCUaB4EXUcXGAAAEUcAihLNAYiFEAEAiDwCUJTwsBUGAACmIQBFidAYoPqADMOwuDQAAJzYCEBRwt0UgIKG5A8wDggAgEgiAEWJ5i4wibWAAACINAJQlHA57LLbGp/XMQ4IAICIIgBFCZvNxkwwAABMQgCKIqENUekCAwAgoghAUeS7M8EAAEDkEICiiLt5PzACEAAAEUUAiiIeJy1AAACYgQAURbwuxgABAGAGAlAUYTsMAADMQQCKInSBAQBgDgJQFPG4CEAAAJiBABRFmluAahgDBABARBGAoghjgAAAMAcBKIqEFkJsIAABABBJBKAoEtoKw08AAgAgkghAUeRQFxhjgAAAiCTLA9CSJUvUu3dveTweDR8+XKtXrz7iuWvWrNG4ceOUnp4ur9er3Nxc3XfffWHnPP7447LZbC0etbW1kb6VNvPQBQYAgCmcVn75M888o1tvvVVLlizRuHHj9Je//EVTpkzR5s2b1aNHjxbnJyQk6KabbtLQoUOVkJCgNWvW6LrrrlNCQoKuvfba0HnJycnaunVr2Gc9Hk/E76etmgNQDV1gAABElKUB6N5779XPfvYz/fznP5ck3X///Xr99de1dOlSLV68uMX5p556qk499dTQ6169eumf//ynVq9eHRaAbDabMjMzI38D7exQCxBdYAAARJJlXWB+v18bNmzQ5MmTw45PnjxZ69atO6ZrbNy4UevWrdOECRPCjldWVqpnz57Kzs7WBRdcoI0bNx71OnV1dfL5fGEPK4RmgTENHgCAiLIsABUXFysQCCgjIyPseEZGhgoLC4/62ezsbLndbo0YMUI33nhjqAVJknJzc/X444/r5Zdf1tNPPy2Px6Nx48Zp27ZtR7ze4sWLlZKSEnrk5OS07eZaqXkQdB0BCACAiLK0C0xq7K76LsMwWhz7vtWrV6uyslLr16/X3Llz1a9fP02fPl2SNGbMGI0ZMyZ07rhx43Taaafpz3/+sx544IHDXm/evHmaM2dO6LXP57MkBIXGABGAAACIKMsCUOfOneVwOFq09hQVFbVoFfq+3r17S5JOPvlk7d+/XwsWLAgFoO+z2+0aOXLkUVuA3G633G73cd5B+wuNAWIaPAAAEWVZF5jL5dLw4cO1cuXKsOMrV67U2LFjj/k6hmGorq7uqO/n5+crKyur1WU1C1thAABgDku7wObMmaOZM2dqxIgRysvL07Jly7Rr1y7Nnj1bUmPX1N69e7V8+XJJ0kMPPaQePXooNzdXUuO6QPfcc49uvvnm0DUXLlyoMWPGqH///vL5fHrggQeUn5+vhx56yPwbPE50gQEAYA5LA9C0adNUUlKiRYsWqaCgQEOGDNGrr76qnj17SpIKCgq0a9eu0PnBYFDz5s3Tjh075HQ61bdvX91111267rrrQueUlZXp2muvVWFhoVJSUnTqqafqvffe06hRo0y/v+PVPAusji4wAAAiymYYhmF1IaKNz+dTSkqKysvLlZycbNr3llb5ddpvG7sEt//veXLYjz4YHAAAHHI8f78t3woDhzSPAZIYBwQAQCQRgKKIx+kIPScAAQAQOQSgKGK32+RyNs0EYzsMAAAihgAUZTxNAYgNUQEAiBwCUJTxsB8YAAARRwCKMl5X01T4BgIQAACRQgCKMs0DoWv8jAECACBSCEBRhu0wAACIPAJQlAmNAaILDACAiCEARZnQfmDMAgMAIGIIQFEm1AXGOkAAAEQMASjKHNoQlRYgAAAihQAUZegCAwAg8ghAUYZB0AAARB4BKMocWgmaMUAAAEQKASjKNA+CrmEMEAAAEUMAijLsBQYAQOQRgKLMoVlgdIEBABApBKAoQxcYAACRRwCKMnSBAQAQeQSgKEMAAgAg8ghAUSa0ECJjgAAAiBgCUJTxOBt/JWyFAQBA5BCAoozXRRcYAACRRgCKMoe6wAhAAABECgEoynicbIUBAECkEYCijMfV+CupbQjIMAyLSwMAwImJABRlmrvADEPyB2gFAgAgEghAUcYb55DN1vi8uNJvbWEAADhBEYCiTJzDrqHZqZKk9746YG1hAAA4QRGAotA5g7pKkt7cvN/ikgAAcGIiAEWhswdnSJLWfF2sGj/T4QEAaG8EoCg0MCNJ3VO9qmsIas3XxVYXBwCAEw4BKArZbDad09QKRDcYAADtjwAUpSY1jQN6a0uRgkHWAwIAoD0RgKLU6N7pSnQ7VVxZp0/3lFldHAAATigEoCjlcto1YUAXSdKbX9INBgBAeyIARbGzBzd1g31ZZHFJAAA4sRCAotjEgV3lsNu0pbBCu0urrS4OAAAnDAJQFEuNd2l4zzRJ0lt0gwEA0G4IQFHunEFN0+HpBgMAoN0QgKJc83T4D3aUyFdbb3FpAAA4MRCAolyfLonq0yVB9QGDzVEBAGgnBKAO4OxBrAoNAEB7IgB1AM0B6J2tB9QQCFpcGgAAOj4CUAdwWo9UpcXHqbymXh/vPGh1cQAA6PAIQB2A02HXxIHNiyLSDQYAQFsRgDqIswczHR4AgPZCAOogxvfvrDiHTTuKq7T9QKXVxQEAoEMjAHUQSZ44jemTLonZYAAAtBUBqAMJTYdnHBAAAG1CAOpAmleF3rDzoEqr/BaXBgCAjosA1IFkp8VrUFaygob0zhYGQwMA0FoEoA7m7KZWoLe20A0GAEBrEYA6mOZxQO9uPaC6hoDFpQEAoGMiAHUwJ3dPUZckt6r8AX3wTanVxQEAoEMiAHUwdrst1A3GbDAAAFqHANQBTco9tDu8YRgWlwYAgI6HANQBjevXWZ44u/aV12rBy18wJR4AgONEAOqAvC6HZo3tLUl64v2dmvD7d7Rk1deqrWdQNAAAx8Jm0IfSgs/nU0pKisrLy5WcnGx1cY5o9bYDWvzqFm0u8EmSslI8mnPOAF1yWrYcdpvFpQMAwFzH8/ebAHQYHSUASVIwaOilT/fqnte/0t6yGklSbmaS/mdKrs4c0EU2G0EIABAbCEBt1JECULPa+oCefH+n/vz2NvlqGyRJY/uma96UQTo5O8Xi0gEAEHkEoDbqiAGoWVm1X0tWbdfja7+VPxCUJE0enKGbzuqnodmp1hYOAIAIIgC1UUcOQM32HKzWH9/4Si/m71Xzb3jCgC66+ax+GtGrk7WFAwAgAghAbXQiBKBmXxdVasmqr/VS/j4Fgo2/6jF9Oummif01rl86Y4QAACcMAlAbnUgBqNmukmotfXe7/rFht+oDjb/yU3JSdfNZ/XRWbleCEACgwzuev9+WrwO0ZMkS9e7dWx6PR8OHD9fq1auPeO6aNWs0btw4paeny+v1Kjc3V/fdd1+L855//nkNHjxYbrdbgwcP1gsvvBDJW+gQeqTHa/ElJ+u9/56oq8f1kttpV/7uMv3siY913gNr9OT736qwvNbqYgIAYApLW4CeeeYZzZw5U0uWLNG4ceP0l7/8RX/961+1efNm9ejRo8X5Gzdu1JYtWzR06FAlJCRozZo1uu6663Tffffp2muvlSS9//77Gj9+vH7729/q4osv1gsvvKA77rhDa9as0ejRo4+pXCdiC9D3Haio0yNrdujJ979Vlf/QAoqn5KRq8kkZ+tFJmerbJdHCEgIAcHw6TBfY6NGjddppp2np0qWhY4MGDdLUqVO1ePHiY7rGJZdcooSEBD355JOSpGnTpsnn8+m1114LnXPuuecqLS1NTz/99DFdMxYCULOyar+e+3iP/v1FoT7ZdVDf/dfQt0uCfnRSpiaflKmh3VNkZ3FFAEAUO56/306TytSC3+/Xhg0bNHfu3LDjkydP1rp1647pGhs3btS6det05513ho69//77+uUvfxl23o9+9CPdf//9bS7ziSg13qVfnNFHvzijj4oqavXm5iK9/kWh1m0v1vYDVVqyaruWrNquzGSPxvTppAGZScrNTNLAzGR1S/EwdggA0CFZFoCKi4sVCASUkZERdjwjI0OFhYVH/Wx2drYOHDighoYGLViwQD//+c9D7xUWFh73Nevq6lRXVxd67fP5judWThhdkzyaMbqHZozuIV9tvVZtPaDXvyjUqi1FKvTV6sX8fWHnJ7mdGpCZpIGZSRqY0fize6pXLqddcQ674hw2xTnscjnstB4BAKKKZQGo2fdbEAzD+MFWhdWrV6uyslLr16/X3Llz1a9fP02fPr3V11y8eLEWLlzYitKfuJI9cfrxsG768bBuqmsIaP03pfp8b7m2FlZoa2GFth+oVEVdgzbsPKgNOw/+4PUcdptcTaGoS5Jbs8b20n+MyJEnzmHC3QAAEM6yANS5c2c5HI4WLTNFRUUtWnC+r3fvxp3QTz75ZO3fv18LFiwIBaDMzMzjvua8efM0Z86c0Gufz6ecnJzjup8Tmdvp0IQBXTRhQJfQMX9DUDuKq7Sl0KethRX6an+FthRWqKTSr/pAUA3B8KFlgaChmmBANfWSr7ZBv3npCz30znbNntBHPxnVgyAEADCVZQHI5XJp+PDhWrlypS6++OLQ8ZUrV+qiiy465usYhhHWfZWXl6eVK1eGjQN64403NHbs2CNew+12y+12H+cdxDaX097Y9ZWZdNj3g0FD9cGg/A1B1QcM1Qcan/sDQa39ulhLV21XQXmtFvzfZi1ZtV3XTeirGaN6yOsiCAEAIs/SLrA5c+Zo5syZGjFihPLy8rRs2TLt2rVLs2fPltTYMrN3714tX75ckvTQQw+pR48eys3NldS4LtA999yjm2++OXTNW265RWeccYbuvvtuXXTRRXrppZf05ptvas2aNebfYAyz221y2x1yO1sGmr5dEjVtZI6e+3iPlq7arr1lNfrtvzZr6artuu6MPrpiTA/FuyzvnQUAnMAs/Sszbdo0lZSUaNGiRSooKNCQIUP06quvqmfPnpKkgoIC7dq1K3R+MBjUvHnztGPHDjmdTvXt21d33XWXrrvuutA5Y8eO1YoVK/TrX/9av/nNb9S3b18988wzx7wGEMzhdjr00zE9dfmIHD3/yR499M7X2nOwRr979Us9/O52/eKMPvrJyBylxrusLioA4ATEVhiHEUvrAEWL+kBQL3yyVw++87V2lVZLklwOu84e3FWXDc/WGf27yOmwfOFyAEAU6zALIUYrApB16gNBvbhxrx5d+62+LDi0HEHnRLcuPrWbLh2erdxMficAgJYIQG1EAIoOm/f59Pwne/Tixr0qqfKHjg/pnqzLTsvWj0/prk4JdJEBABoRgNqIABRd6gNBrdp6QM9v2KO3tuwP7WbvtNuUmeJRijdOqfFxSvW6lBIfp1RvXOhYitelk7olK6dTvMV3AQCINAJQGxGAoldplV8v5+/V85/s1aa95cf8uWE5qbrg5CydNzRL3VO9ESwhAMAqBKA2IgB1DHsOVutARZ3KaupVXl2vsmp/4/Pm1zX1Kq6s0+d7y/XddRlP65Gq84d20/knZykzxWPdDQAA2hUBqI0IQCeWAxV1+vfnBfrXZwX68NvSsB3vR/ZK0/knZ+ms3Axlp3nZswwAOjACUBsRgE5c+321em1TYxj6+Ht7mHnjHOrTJUF9uySqX9fE0M9eneMPu6AjACC6EIDaiAAUGwrKa/TKZwV6ZVOBPt9bHhpc/X12m9SjU7z6ZyTplJxUnZKTqqHZKUryxJlcYgDA0RCA2ogAFHsaAkHtKq3W9gNV+rqoUl8XVWr7gUptL2rc9f77bDapX5dEnZKTqlN7pOmUnFQNyEgMW6yxIRBUabVfJZVNj6o6FVf6VV7tV9+uicrrk66uyYxBAoD2QgBqIwIQmhmGoaKKOm0vqtTmAp/yd5dp464y7S2raXGuN86hARmJqvYHVFLl18Fqv37ov66+XRI0tm9n5fVN15g+6axrBABtQABqIwIQfsiBijrl7y5T/u6Dyt9dpk93l6vyCC1FneJdSk90qXOiW+mJbiW6Hdq0t1xf7PO1CEi5mUmhQHRaj1SlJ7pNuiMA6PgIQG1EAMLxCgSNUJdZijdO6YlupSe6lBbvkuMIM8vKqv36YEep3t9eove3l2jr/ooW53RJcis3M0kDM5I0MDNJg7KS1a9rojxxDMoGgO8jALURAQhWKK6s0/pvGsPQ+9+UaEdx1WG70Ow2qVfnBA3KTNbJ2Sk6c2AXDcxIks3Wuin8waAhX229UuPpfgPQsRGA2ogAhGhQ7W/QV/srtaXApy2FFdpaWKEthT4drK5vcW5WikdnDuyiMwd21bh+nZXodh7xuoGgoc37fPpgR4k+3FGqj74t1cHqeg3OStZ/jMjW1FO6K42xSAA6IAJQGxGAEK0Mw9CBijptaQpD678p1brtxaqtD4bOiXPYNKp3J00c2FVnDuyqHp3itWlvmT7YUaoPd5Tq428PHna8UjOXw66zB3fVfwzP0fj+ncNmtgFANCMAtREBCB1JbX1AH+wo1TtbivTO1iLtLKkOe99htykQDP/PPMnt1MjenTSq6ZGd5tVrmwr17Me79cU+X+i8jGS3LjktW/8xPFt9uiSacj8A0FoEoDYiAKEj21FcFQpDH3xTKn8gqE4JLo3qdSjwDMpKPuLg7M37fHpuw269uHFvWHfb8J5pOqlbslLjXUqLj1NqfFzTc5dSvXFKi3cpyeNkOxEAliEAtREBCCeKan+DSir9yk7zHvcgaX9DUG9v2a9nP96jVVuLFDyG/1PYbVLXJI96pMerZ6d49egU3/g8PUE9O8UrNT4urByBoKHiyjoVlNeqsLxG+8pqVeirVUF5rarqGpSR7FZmsldZqR5lpTQ/vEo4yhgnALGLANRGBCAgXJGvVq9v3q/95bUqq/HrYHW9yqr9KquuV1l1vQ5W+1XtD/zgdZLcTvVIj5fbaVdhea32V9S16J47FkkeZygMdU/zqnuqV9lpXmWnxSs7zasuiW5aooAYRABqIwIQcPzqGgIqq67X3rIa7S6t1s6Sxsfu0mrtLK3Sfl/dYT9nt0kZyYdadzKbWnoS3E7t99WqsLyxRaigvEYF5bWqqD3yAO5mLodd3VI9yk6LV/dUr+LdDjntNjkddjntNjnsNsU57HLYbY3H7TalxMcpI9mjzGSPMpI9tDIBHdDx/P3mv3AA7cLtdCgj2aGMZI9O65HW4v0af0B7DjaGIn8gGAo8nRNdxzXTrLKuIdRdVlBeo70Ha7SnrEZ7DjY+LyivkT8Q1Lcl1fr2ewPCj0eS26mMFI8ykt2hYBTvcqjKH1B1XUPjT3+DquoCqvrOa39DUN44hzxxDnldDnm/+7PpudtpV11DUHUNAdXWH/pZWx9oegTlDwSV4o1TZkrjd2cme5TRFA4zkz3qmuyW28mCmEBr0QJ0GLQAAR1XfSCowvJa7W0KRfvKalTXEFBDwFBD0FBDINj0s+l1MKiGgKGD1X4V+mpV5Ks76jIB0SQ9waWe6fEamJmsQVlJys1M1sDMJKV446wuGmAJWoAAxKw4h105neKV0ym+1ddobGWqVZGvcVB2oa9W+8trVVsfVILbqQS3Q/Guxp8JrvDXcQ67auuDqqkPqMYfUE19g2r8ja9r6xtbierqg3I57fLEOeSJa/zpdjb/bDzmcth1sLq+8fvLa1Toq9P+8qbylNfKHwiqpMqvkiq/PtlVFlb+bike5WYlN26jkpmkrkmeplaqBlXWNaiytkFVdQ2qrAuosq5eVXUBBYKGslI9ymkaR5XTqfFnksf8MGUYhmrrg3I6GrsqgUigBegwaAECEM0Mw9DB6noVlNdo+4GqsNXC95bVtOt3pcbHNQaipvFUaQmNyx0ke+KU7G38mfSd5/Euh+oagjpY7dfBqsbB8gebBsqXVftVWlWvshq/KmsbVN3Ubdj4MxB6XVMfkGFICS6HLhzWTf8xIken9Uht9XYviB0Mgm4jAhCAjqq8pj60bcqWwgptKfCprKZeiW6nEt1OJTT9bH6e5HEqwdU4lmhfea32HKzW7tIa7TlYfdhtV36IzabD7mHXVn27JOjyETm6+LTu6prkOebPGYYhX22Dkj1OAlQMIAC1EQEIABq7AvccrNae0hrtPlitfWU18tU0yFdbr4raxp++msbn5TX1avjOkgZOuy20aGZavEupzT8TDi2ameByyutyKN7V2IUY73KEHft8b7me/XiPXt1UoJr6xmUWHHabzsrtqstH5OjMgV1CXWTN28Rs3V+hr/ZX6qvCCn1VVKFt+ytVWdeg7qle5fVN17h+6Rrbt7Myko89RKHjIAC1EQEIAI5P87iditp6eV0OJbrbr8WlorZe//qsQM9+vFsbvzPeqXOiW+P7d9begzXaur9C5TXH3mLVt0uCxvbtrHH90jWmT7pS48M3ADYMQ1X+QGi9q/KaxjWv7DYpxRunlPi4xp/euHa9V7QNAaiNCEAAEJ227a/Qcxv26J+f7FFxpT/sPbtN6pWeoAEZSRqQkagBmUkakJGkjGSPPt1dprXbi/X+9hJt2lse1k1ns0mDMpPldTlUVu0PhZ2GY1yk02G3hcJQsjdOafFxSk9wq3OiS+mJLqUnuJWe6FLnxMafnRJcLGEQIQSgNiIAAUB0qw8E9faWIn1Z4FOv9AT1z0hU3y6J8sT9cLAor67X+9+U6P3txVq7vURfF1Ue8VyX0964953XpRRvnIKG0RiQahpbhfwNwVaVP/E7swmbu/7i3Ye6ABNcDiV6nMpKaZyR16NT4yB0l5NZcUdDAGojAhAAxI79vlpt2HlQNkmpTeOVUptCjyfOftTurdr6QKiLrLHlyK+D1Y3LE5RU+lVSWaeSKr+Kv/O8Ndu/SI0tVZnJnsZlHtLildPJqx6d4tWnS6L6dkmwZMkCqTFQfvhtqT74pkQf7CjV10WVGts3XVeN7aXT+3U2dVsaAlAbEYAAAJEQDBry1dartMofmvpf5W9Qdd2hJQGaX/tq67X3YOMA9N2lNaGB4EeSleJRv66J6tc1Uf27Jql/RqL6dUlUWkLj+Kba+kBogdA9B6sbV1E/WNN0rFr1ASO0BlSP7z2yUjyhFdsPVvn1wY5SfbCjROu/KdWWQt8RZ/716ZygK/N66tLh2aYENAJQGxGAAADRxDAMlVT5tau0cX+9PQcP7bn3TXHlEffak6TOiS5JNhVXHvmcH+Kw29Qt1SO303HYLsM+XRI0une6xvTppF7pCXph4179Y8Oe0KrqCS6HLh2erSvzeqpf16RWl+OHEIDaiAAEAOhIymvq9XVRpb5umvr/9YFKbdtf2WJhzASXQzlN44my07zqnuZVdtPq33EOu3aXVodC1q7m5wdrWox16t81UaP7dNKYPuka1bvTYddmqqxr0Auf7NET7+8MC02n9+usK/N6atKgDDnauXuMANRGBCAAwImgqq5B3xyoks0mZad5leKNO+4p+8GgoQOVddpVWq2K2noNzU5V50T3MX/eMAyt216iJ9Z9qze/3K/mIVB9uyTo9VvPOK7NkH8Ie4EBAAAluJ06OTulTdew223KSPa0evFIm82mcf06a1y/ztpdWq2nPtilFR/t0mk90to1/Bx3uWgBaokWIAAAIqe2PqDKuobjakk6FrQAAQCAqOWJcxzTmk2RxIpKAAAg5hCAAABAzCEAAQCAmEMAAgAAMYcABAAAYg4BCAAAxBwCEAAAiDkEIAAAEHMIQAAAIOYQgAAAQMwhAAEAgJhDAAIAADGHAAQAAGIOu8EfhmEYkiSfz2dxSQAAwLFq/rvd/Hf8aAhAh1FRUSFJysnJsbgkAADgeFVUVCglJeWo59iMY4lJMSYYDGrfvn1KSkqSzWZr12v7fD7l5ORo9+7dSk5ObtdroyXq21zUt7mob3NR3+ZqTX0bhqGKigp169ZNdvvRR/nQAnQYdrtd2dnZEf2O5ORk/gMyEfVtLurbXNS3uahvcx1vff9Qy08zBkEDAICYQwACAAAxhwBkMrfbrfnz58vtdltdlJhAfZuL+jYX9W0u6ttcka5vBkEDAICYQwsQAACIOQQgAAAQcwhAAAAg5hCAAABAzCEAmWjJkiXq3bu3PB6Phg8frtWrV1tdpBPGe++9pwsvvFDdunWTzWbTiy++GPa+YRhasGCBunXrJq/XqzPPPFNffPGFNYXt4BYvXqyRI0cqKSlJXbt21dSpU7V169awc6jv9rN06VINHTo0tBhcXl6eXnvttdD71HVkLV68WDabTbfeemvoGHXefhYsWCCbzRb2yMzMDL0fybomAJnkmWee0a233qrbb79dGzdu1Pjx4zVlyhTt2rXL6qKdEKqqqjRs2DA9+OCDh33/97//ve699149+OCD+uijj5SZmalzzjkntO8bjt27776rG2+8UevXr9fKlSvV0NCgyZMnq6qqKnQO9d1+srOzddddd+njjz/Wxx9/rLPOOksXXXRR6I8AdR05H330kZYtW6ahQ4eGHafO29dJJ52kgoKC0GPTpk2h9yJa1wZMMWrUKGP27Nlhx3Jzc425c+daVKITlyTjhRdeCL0OBoNGZmamcdddd4WO1dbWGikpKcbDDz9sQQlPLEVFRYYk49133zUMg/o2Q1pamvHXv/6Vuo6giooKo3///sbKlSuNCRMmGLfccothGPz7bm/z5883hg0bdtj3Il3XtACZwO/3a8OGDZo8eXLY8cmTJ2vdunUWlSp27NixQ4WFhWH173a7NWHCBOq/HZSXl0uSOnXqJIn6jqRAIKAVK1aoqqpKeXl51HUE3XjjjTr//PN19tlnhx2nztvftm3b1K1bN/Xu3Vs/+clP9M0330iKfF2zGaoJiouLFQgElJGREXY8IyNDhYWFFpUqdjTX8eHqf+fOnVYU6YRhGIbmzJmj008/XUOGDJFEfUfCpk2blJeXp9raWiUmJuqFF17Q4MGDQ38EqOv2tWLFCn3yySf66KOPWrzHv+/2NXr0aC1fvlwDBgzQ/v37deedd2rs2LH64osvIl7XBCAT2Wy2sNeGYbQ4hsih/tvfTTfdpM8++0xr1qxp8R713X4GDhyo/Px8lZWV6fnnn9dVV12ld999N/Q+dd1+du/erVtuuUVvvPGGPB7PEc+jztvHlClTQs9PPvlk5eXlqW/fvnriiSc0ZswYSZGra7rATNC5c2c5HI4WrT1FRUUtki3aX/OMAuq/fd188816+eWX9c477yg7Ozt0nPpufy6XS/369dOIESO0ePFiDRs2TH/605+o6wjYsGGDioqKNHz4cDmdTjmdTr377rt64IEH5HQ6Q/VKnUdGQkKCTj75ZG3bti3i/74JQCZwuVwaPny4Vq5cGXZ85cqVGjt2rEWlih29e/dWZmZmWP37/X69++671H8rGIahm266Sf/85z/19ttvq3fv3mHvU9+RZxiG6urqqOsImDRpkjZt2qT8/PzQY8SIEbriiiuUn5+vPn36UOcRVFdXpy+//FJZWVmR//fd5mHUOCYrVqww4uLijEceecTYvHmzceuttxoJCQnGt99+a3XRTggVFRXGxo0bjY0bNxqSjHvvvdfYuHGjsXPnTsMwDOOuu+4yUlJSjH/+85/Gpk2bjOnTpxtZWVmGz+ezuOQdz/XXX2+kpKQYq1atMgoKCkKP6urq0DnUd/uZN2+e8d577xk7duwwPvvsM+NXv/qVYbfbjTfeeMMwDOraDN+dBWYY1Hl7+s///E9j1apVxjfffGOsX7/euOCCC4ykpKTQ38ZI1jUByEQPPfSQ0bNnT8PlchmnnXZaaNow2u6dd94xJLV4XHXVVYZhNE6nnD9/vpGZmWm43W7jjDPOMDZt2mRtoTuow9WzJOOxxx4LnUN9t59rrrkm9P+NLl26GJMmTQqFH8Ogrs3w/QBEnbefadOmGVlZWUZcXJzRrVs345JLLjG++OKL0PuRrGubYRhG29uRAAAAOg7GAAEAgJhDAAIAADGHAAQAAGIOAQgAAMQcAhAAAIg5BCAAABBzCEAAACDmEIAA4AhsNptefPFFq4sBIAIIQACi0qxZs2Sz2Vo8zj33XKuLBuAE4LS6AABwJOeee64ee+yxsGNut9ui0gA4kdACBCBqud1uZWZmhj3S0tIkNXZPLV26VFOmTJHX61Xv3r313HPPhX1+06ZNOuuss+T1epWenq5rr71WlZWVYec8+uijOumkk+R2u5WVlaWbbrop7P3i4mJdfPHFio+PV//+/fXyyy+H3jt48KCuuOIKdenSRV6vV/37928R2ABEJwIQgA7rN7/5jS699FJ9+umn+ulPf6rp06fryy+/lCRVV1fr3HPPVVpamj766CM999xzevPNN8MCztKlS3XjjTfq2muv1aZNm/Tyyy+rX79+Yd+xcOFCXX755frss8903nnn6YorrlBpaWno+zdv3qzXXntNX375pZYuXarOnTubVwEAWq9dtlQFgHZ21VVXGQ6Hw0hISAh7LFq0yDCMxl3pZ8+eHfaZ0aNHG9dff71hGIaxbNkyIy0tzaisrAy9/8orrxh2u90oLCw0DMMwunXrZtx+++1HLIMk49e//nXodWVlpWGz2YzXXnvNMAzDuPDCC42rr766fW4YgKkYAwQgak2cOFFLly4NO9apU6fQ87y8vLD38vLylJ+fL0n68ssvNWzYMCUkJITeHzdunILBoLZu3SqbzaZ9+/Zp0qRJRy3D0KFDQ88TEhKUlJSkoqIiSdL111+vSy+9VJ988okmT56sqVOnauzYsa26VwDmIgABiFoJCQktuqR+iM1mkyQZhhF6frhzvF7vMV0vLi6uxWeDwaAkacqUKdq5c6deeeUVvfnmm5o0aZJuvPFG3XPPPcdVZgDmYwwQgA5r/fr1LV7n5uZKkgYPHqz8/HxVVVWF3l+7dq3sdrsGDBigpKQk9erVS2+99VabytClSxfNmjVLf/vb33T//fdr2bJlbboeAHPQAgQgatXV1amwsDDsmNPpDA00fu655zRixAidfvrpeuqpp/Thhx/qkUcekSRdccUVmj9/vq666iotWLBABw4c0M0336yZM2cqIyNDkrRgwQLNnj1bXbt21ZQpU1RRUaG1a9fq5ptvPqby3XHHHRo+fLhOOukk1dXV6V//+pcGDRrUjjUAIFIIQACi1r///W9lZWWFHRs4cKC2bNkiqXGG1ooVK3TDDTcoMzNTTz31lAYPHixJio+P1+uvv65bbrlFI0eOVHx8vC699FLde++9oWtdddVVqq2t1X333afbbrtNnTt31mWXXXbM5XO5XJo3b56+/fZbeb1ejR8/XitWrGiHOwcQaTbDMAyrCwEAx8tms+mFF17Q1KlTrS4KgA6IMUAAACDmEIAAAEDMYQwQgA6J3nsAbUELEAAAiDkEIAAAEHMIQAAAIOYQgAAAQMwhAAEAgJhDAAIAADGHAAQAAGIOAQgAAMQcAhAAAIg5/x89/3P8gXbGSgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history[\"loss\"])\n",
    "plt.title(\"Model Loss\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "plt.plot(history.history[\"val_accuracy\"])\n",
    "plt.title(\"Model Validation Accuracy\")\n",
    "plt.ylabel(\"Validation accuracy\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2322766",
   "metadata": {},
   "source": [
    "Loss curve continues to smoothly decrease, indicating constant improvment in performance\n",
    "\n",
    "Validation accuracy continuously increasing, no sign of over-training"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79fd0ed3",
   "metadata": {},
   "source": [
    "## Exercise 5 (2 points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5e86aa16",
   "metadata": {},
   "outputs": [],
   "source": [
    "callbacks_ = [\n",
    "# if we don ’t have an increase of the accuracy for 10 epochs , terminate training.\n",
    "EarlyStopping(verbose = True, patience=10, monitor = \"val_accuracy\") ,\n",
    "# Always make sure that we ’ re saving the model weights with the best accuracy .\n",
    "ModelCheckpoint(\"model.h5\", monitor = \"val_accuracy\" , save_best_only = True, mode = \"max\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "acfdaec2",
   "metadata": {},
   "outputs": [],
   "source": [
    "select_training = training_data[var_names+[\"isSignal\"]] # add the reco_zv_mass variable in the training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e3d1eaa9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(70018, 9) (30008, 9) (70018,) (30008,)\n"
     ]
    }
   ],
   "source": [
    "features = select_training[select_training.columns[:-1]]\n",
    "target = select_training.isSignal\n",
    "\n",
    "sc = preprocessing.StandardScaler()\n",
    "features = sc.fit_transform(features)\n",
    "# set random seed\n",
    "Answer_to_all_questions = 42\n",
    "# train - test split of dataset\n",
    "x_train, x_test, y_train, y_test = model_selection.train_test_split(features, target, test_size=0.3,\n",
    "                                                                    random_state = Answer_to_all_questions)\n",
    "print (x_train.shape, x_test.shape, y_train.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "b229ee13",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_nodes = 300\n",
    "extra_depth= 3\n",
    "drop_out=0.25\n",
    "\n",
    "model = my_model(x_train.shape[1],num_nodes,extra_depth,drop_out)\n",
    "\n",
    "batchSize = 200\n",
    "N_epochs = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5337417a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "351/351 [==============================] - 12s 32ms/step - loss: 0.2127 - accuracy: 0.9251 - val_loss: 0.1700 - val_accuracy: 0.9416\n",
      "Epoch 2/50\n",
      "351/351 [==============================] - 11s 31ms/step - loss: 0.1732 - accuracy: 0.9389 - val_loss: 0.1671 - val_accuracy: 0.9413\n",
      "Epoch 3/50\n",
      "351/351 [==============================] - 11s 31ms/step - loss: 0.1681 - accuracy: 0.9406 - val_loss: 0.1586 - val_accuracy: 0.9442\n",
      "Epoch 4/50\n",
      "351/351 [==============================] - 11s 31ms/step - loss: 0.1639 - accuracy: 0.9415 - val_loss: 0.1593 - val_accuracy: 0.9442\n",
      "Epoch 5/50\n",
      "351/351 [==============================] - 11s 30ms/step - loss: 0.1615 - accuracy: 0.9421 - val_loss: 0.1530 - val_accuracy: 0.9455\n",
      "Epoch 6/50\n",
      "351/351 [==============================] - 13s 37ms/step - loss: 0.1596 - accuracy: 0.9425 - val_loss: 0.1513 - val_accuracy: 0.9461\n",
      "Epoch 7/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1577 - accuracy: 0.9435 - val_loss: 0.1516 - val_accuracy: 0.9456\n",
      "Epoch 8/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1566 - accuracy: 0.9441 - val_loss: 0.1592 - val_accuracy: 0.9427\n",
      "Epoch 9/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1553 - accuracy: 0.9452 - val_loss: 0.1508 - val_accuracy: 0.9482\n",
      "Epoch 10/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1540 - accuracy: 0.9445 - val_loss: 0.1493 - val_accuracy: 0.9471\n",
      "Epoch 11/50\n",
      "351/351 [==============================] - 13s 37ms/step - loss: 0.1537 - accuracy: 0.9453 - val_loss: 0.1478 - val_accuracy: 0.9476\n",
      "Epoch 12/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1531 - accuracy: 0.9456 - val_loss: 0.1482 - val_accuracy: 0.9480\n",
      "Epoch 13/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1518 - accuracy: 0.9457 - val_loss: 0.1521 - val_accuracy: 0.9476\n",
      "Epoch 14/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1520 - accuracy: 0.9466 - val_loss: 0.1488 - val_accuracy: 0.9484\n",
      "Epoch 15/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1507 - accuracy: 0.9466 - val_loss: 0.1489 - val_accuracy: 0.9488\n",
      "Epoch 16/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1504 - accuracy: 0.9464 - val_loss: 0.1490 - val_accuracy: 0.9488\n",
      "Epoch 17/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1496 - accuracy: 0.9466 - val_loss: 0.1461 - val_accuracy: 0.9496\n",
      "Epoch 18/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1489 - accuracy: 0.9470 - val_loss: 0.1481 - val_accuracy: 0.9490\n",
      "Epoch 19/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1488 - accuracy: 0.9472 - val_loss: 0.1490 - val_accuracy: 0.9471\n",
      "Epoch 20/50\n",
      "351/351 [==============================] - 13s 39ms/step - loss: 0.1487 - accuracy: 0.9476 - val_loss: 0.1521 - val_accuracy: 0.9489\n",
      "Epoch 21/50\n",
      "351/351 [==============================] - 14s 39ms/step - loss: 0.1481 - accuracy: 0.9470 - val_loss: 0.1478 - val_accuracy: 0.9477\n",
      "Epoch 22/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1485 - accuracy: 0.9472 - val_loss: 0.1469 - val_accuracy: 0.9482\n",
      "Epoch 23/50\n",
      "351/351 [==============================] - 13s 37ms/step - loss: 0.1461 - accuracy: 0.9478 - val_loss: 0.1474 - val_accuracy: 0.9488\n",
      "Epoch 24/50\n",
      "351/351 [==============================] - 13s 38ms/step - loss: 0.1463 - accuracy: 0.9476 - val_loss: 0.1481 - val_accuracy: 0.9479\n",
      "Epoch 25/50\n",
      "351/351 [==============================] - 14s 39ms/step - loss: 0.1469 - accuracy: 0.9476 - val_loss: 0.1497 - val_accuracy: 0.9461\n",
      "Epoch 26/50\n",
      "351/351 [==============================] - 14s 39ms/step - loss: 0.1462 - accuracy: 0.9487 - val_loss: 0.1503 - val_accuracy: 0.9486\n",
      "Epoch 27/50\n",
      "351/351 [==============================] - 14s 39ms/step - loss: 0.1463 - accuracy: 0.9481 - val_loss: 0.1489 - val_accuracy: 0.9477\n",
      "Epoch 27: early stopping\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train, y_train, batch_size = batchSize, epochs = N_epochs , \\\n",
    "verbose =1, validation_data =(x_test, y_test), callbacks = callbacks_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "fbea58c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history[\"loss\"])\n",
    "plt.title(\"Model Loss\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "plt.plot(history.history[\"val_accuracy\"])\n",
    "plt.title(\"Model Validation Accuracy\")\n",
    "plt.axhline(y=0.95, color='r', linestyle='-')\n",
    "plt.ylabel(\"Validation accuracy\")\n",
    "plt.xlabel(\"Epochs\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05e3bb78",
   "metadata": {},
   "source": [
    "Best model achieves 94.96 validation accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8603a261",
   "metadata": {},
   "source": [
    "## Exercise 6 (1 point)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1565e589",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "938/938 [==============================] - 2s 2ms/step\n"
     ]
    }
   ],
   "source": [
    "score = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "94c404c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction = score>0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "533a5b64",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.inspection import PartialDependenceDisplay\n",
    "from sklearn.metrics import confusion_matrix,ConfusionMatrixDisplay\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ede49d00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test,prediction,normalize=\"true\")\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm,display_labels=[\"Background\",\"Signal\"])\n",
    "\n",
    "disp.plot()\n",
    "plt.title(\"Confusion matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "143a1a0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "fpr, tpr, thresholds = metrics.roc_curve(y_test, score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5cb3ecfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fpr,tpr)\n",
    "plt.title(\"ROC curve\")\n",
    "plt.xlabel(\"false positive rate (background efficiency)\")\n",
    "plt.ylabel(\"true positive rate (signal efficiency)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "192d1ba0",
   "metadata": {},
   "source": [
    "Value of the ROC curve closest to the point [0,1] is the optimal performance point (point highest on the left)\n",
    "\n",
    "This is because we want the signal efficiency to be as high as possible and the background efficiency to be as low as possible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "799d4608",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a239d8be",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abd2dc97",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eebf644e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d30ac7a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}