{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6eee568b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start\n"
     ]
    }
   ],
   "source": [
    "print ('Start')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b45790e0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\uwtsd\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.1\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "# Import third-party libraries\n",
    "import tensorflow as tf\n",
    "import operator\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fe6a67eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Download the keras dataset from the Internet.\n",
    "(x_train, y_train), (x_test, y_test)=tf.keras.datasets.fashion_mnist.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ca3a76c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train size: (60000, 28, 28)\n",
      "y_train size: (60000,)\n",
      "x_test size: (10000, 28, 28)\n",
      "y_test size: (10000,)\n"
     ]
    }
   ],
   "source": [
    "# print training set and test set.It contains 70000 gray-scale images, the training set contains 60,000 gray-scale images, and the test set contains 10,000 gray-scale images.\n",
    "print(\"x_train size:\",x_train.shape)\n",
    "print(\"y_train size:\",y_train.shape)\n",
    "print(\"x_test size:\",x_test.shape)\n",
    "print(\"y_test size:\",y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "156866f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1d606bf4e50>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show the first sample\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(x_train[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa70bb4f",
   "metadata": {},
   "source": [
    "## data preprocessing and normalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b98712d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60000, 784)\n",
      "(10000, 784)\n"
     ]
    }
   ],
   "source": [
    "# calculated mean value\n",
    "# training set and test set 28*28 to 1*784 \n",
    "def getXmean(X_train):\n",
    "    X_train = X_train.reshape(X_train.shape[0],28*28)\n",
    "    mean_image = np.mean(X_train,axis = 0)\n",
    "    std_image=X_train.std()\n",
    "    return mean_image,std_image\n",
    "\n",
    "def centealized(X_test,mean_image,std_image):\n",
    "    X_test = X_test.reshape(X_test.shape[0],28*28)\n",
    "    X_test = X_test.astype(np.float64)\n",
    "    X_test = (X_test - mean_image)/std_image\n",
    "    return X_test\n",
    "\n",
    "mean_image,std_image = getXmean(x_train)\n",
    "x_train_cen = centealized(x_train,mean_image,std_image)\n",
    "print(x_train_cen.shape)\n",
    "\n",
    "x_test_cen = centealized(x_test,mean_image,std_image)\n",
    "print(x_test_cen.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce1bb684",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c2c42e55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn1 E confusion_matrix:\n",
      " [[800   2  20  26   5   0 142   1   4   0]\n",
      " [  7 975   2   8   4   0   3   0   1   0]\n",
      " [ 15   2 782  10  97   0  94   0   0   0]\n",
      " [ 35   9  14 850  42   0  48   0   2   0]\n",
      " [  5   2 127  34 734   0  97   0   1   0]\n",
      " [  0   0   0   0   0 863   2  68   1  66]\n",
      " [160   1 117  27  69   0 619   0   7   0]\n",
      " [  0   0   0   0   0   5   0 949   0  46]\n",
      " [  5   1   9   3   2   0  17   4 958   1]\n",
      " [  0   0   0   0   0   2   0  30   1 967]]\n",
      "knn1 E recall_score: 0.8497\n",
      "knn1 E precision_score: 0.8527108904515474\n",
      "knn1 E f1_score: 0.8503492525016987\n",
      "knn1 E accuracy_score: 0.8497\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "neigh_E_1 = KNeighborsClassifier(n_neighbors=1,p=2)\n",
    "neigh_E_1.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k1_E = neigh_E_1.predict(x_test_cen)\n",
    "print(y_test_pred_k1_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "from sklearn.metrics import confusion_matrix, recall_score,accuracy_score,precision_score,f1_score\n",
    "con_matrix_knn_k1_E = confusion_matrix(y_test, y_test_pred_k1_E)\n",
    "recall_knn_k1_E = recall_score(y_test, y_test_pred_k1_E,average='weighted')\n",
    "precision_knn_k1_E = precision_score(y_test, y_test_pred_k1_E,average='weighted')\n",
    "f1_knn_k1_E = f1_score(y_test, y_test_pred_k1_E,average='weighted')\n",
    "accuracy_knn_k1_E = accuracy_score(y_test, y_test_pred_k1_E)\n",
    "\n",
    "print('knn1 E confusion_matrix:\\n',con_matrix_knn_k1_E)\n",
    "print('knn1 E recall_score:',recall_knn_k1_E)\n",
    "print('knn1 E precision_score:',precision_knn_k1_E)\n",
    "print('knn1 E f1_score:',f1_knn_k1_E)\n",
    "print('knn1 E accuracy_score:',accuracy_knn_k1_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65873f60",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bfa65dfd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn2 E confusion_matrix:\n",
      " [[889   3  25  15   4   1  58   1   4   0]\n",
      " [ 10 976   2   9   2   0   1   0   0   0]\n",
      " [ 29   2 854  12  61   0  42   0   0   0]\n",
      " [ 72  18  25 848  19   0  17   0   1   0]\n",
      " [  6   2 211  44 693   0  43   0   1   0]\n",
      " [  1   0   0   0   0 902   2  51   1  43]\n",
      " [242   4 179  29  82   0 458   0   6   0]\n",
      " [  0   0   0   0   0   7   0 974   0  19]\n",
      " [ 10   1  16   9   5   1  19   7 932   0]\n",
      " [  0   0   0   0   0   2   1  62   1 934]]\n",
      "knn2 E recall_score: 0.846\n",
      "knn2 E precision_score: 0.8520197217560941\n",
      "knn2 E f1_score: 0.8429124207861427\n",
      "knn2 E accuracy_score: 0.846\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_2 = KNeighborsClassifier(n_neighbors=2,p=2)\n",
    "neigh_E_2.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k2_E = neigh_E_2.predict(x_test_cen)\n",
    "print(y_test_pred_k2_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k2_E = confusion_matrix(y_test, y_test_pred_k2_E)\n",
    "recall_knn_k2_E = recall_score(y_test, y_test_pred_k2_E,average='weighted')\n",
    "precision_knn_k2_E = precision_score(y_test, y_test_pred_k2_E,average='weighted')\n",
    "f1_knn_k2_E = f1_score(y_test, y_test_pred_k2_E,average='weighted')\n",
    "accuracy_knn_k2_E = accuracy_score(y_test, y_test_pred_k2_E)\n",
    "\n",
    "print('knn2 E confusion_matrix:\\n',con_matrix_knn_k2_E)\n",
    "print('knn2 E recall_score:',recall_knn_k2_E)\n",
    "print('knn2 E precision_score:',precision_knn_k2_E)\n",
    "print('knn2 E f1_score:',f1_knn_k2_E)\n",
    "print('knn2 E accuracy_score:',accuracy_knn_k2_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49a3e461",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：3) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14716c70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn3 E confusion_matrix:\n",
      " [[853   1  16  15   3   0 106   1   5   0]\n",
      " [  9 971   2  11   4   0   2   0   1   0]\n",
      " [ 27   2 812   8  78   0  73   0   0   0]\n",
      " [ 48   7  22 855  30   0  36   0   2   0]\n",
      " [  5   3 141  24 743   0  82   0   2   0]\n",
      " [  1   0   0   1   0 835   3  90   0  70]\n",
      " [177   3 132  21  63   0 595   0   9   0]\n",
      " [  0   0   0   0   0   3   0 952   0  45]\n",
      " [  7   1  10   3   3   1  16   6 952   1]\n",
      " [  0   0   0   0   0   2   0  24   1 973]]\n",
      "knn3 E recall_score: 0.8541\n",
      "knn3 E precision_score: 0.8575414622679564\n",
      "knn3 E f1_score: 0.8539002124666113\n",
      "knn3 E accuracy_score: 0.8541\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_E_3 = KNeighborsClassifier(n_neighbors=3,p=2)\n",
    "neigh_E_3.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k3_E = neigh_E_3.predict(x_test_cen)\n",
    "print(y_test_pred_k3_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k3_E = confusion_matrix(y_test, y_test_pred_k3_E)\n",
    "recall_knn_k3_E = recall_score(y_test, y_test_pred_k3_E,average='weighted')\n",
    "precision_knn_k3_E = precision_score(y_test, y_test_pred_k3_E,average='weighted')\n",
    "f1_knn_k3_E = f1_score(y_test, y_test_pred_k3_E,average='weighted')\n",
    "accuracy_knn_k3_E = accuracy_score(y_test, y_test_pred_k3_E)\n",
    "\n",
    "print('knn3 E confusion_matrix:\\n',con_matrix_knn_k3_E)\n",
    "print('knn3 E recall_score:',recall_knn_k3_E)\n",
    "print('knn3 E precision_score:',precision_knn_k3_E)\n",
    "print('knn3 E f1_score:',f1_knn_k3_E)\n",
    "print('knn3 E accuracy_score:',accuracy_knn_k3_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74681b6a",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：4) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "74b733d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn4 E confusion_matrix:\n",
      " [[886   1  20  14   3   1  72   1   2   0]\n",
      " [  8 971   3  10   4   0   3   0   1   0]\n",
      " [ 27   2 831  11  69   0  60   0   0   0]\n",
      " [ 48   7  15 868  25   0  34   0   3   0]\n",
      " [  4   1 151  32 743   0  67   0   2   0]\n",
      " [  2   0   0   0   0 855   4  77   0  62]\n",
      " [198   2 143  22  79   0 545   0  11   0]\n",
      " [  0   0   0   0   0   4   0 971   0  25]\n",
      " [  3   0  13   3   5   0  18   7 951   0]\n",
      " [  0   0   0   0   0   1   1  42   0 956]]\n",
      "knn4 E recall_score: 0.8577\n",
      "knn4 E precision_score: 0.8603862200181598\n",
      "knn4 E f1_score: 0.8563494820026253\n",
      "knn4 E accuracy_score: 0.8577\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "neigh_E_4 = KNeighborsClassifier(n_neighbors=4,p=2)\n",
    "neigh_E_4.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k4_E = neigh_E_4.predict(x_test_cen)\n",
    "print(y_test_pred_k4_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "from sklearn.metrics import confusion_matrix, recall_score,accuracy_score,precision_score,f1_score\n",
    "con_matrix_knn_k4_E = confusion_matrix(y_test, y_test_pred_k4_E)\n",
    "recall_knn_k4_E = recall_score(y_test, y_test_pred_k4_E,average='weighted')\n",
    "precision_knn_k4_E = precision_score(y_test, y_test_pred_k4_E,average='weighted')\n",
    "f1_knn_k4_E = f1_score(y_test, y_test_pred_k4_E,average='weighted')\n",
    "accuracy_knn_k4_E = accuracy_score(y_test, y_test_pred_k4_E)\n",
    "\n",
    "print('knn4 E confusion_matrix:\\n',con_matrix_knn_k4_E)\n",
    "print('knn4 E recall_score:',recall_knn_k4_E)\n",
    "print('knn4 E precision_score:',precision_knn_k4_E)\n",
    "print('knn4 E f1_score:',f1_knn_k4_E)\n",
    "print('knn4 E accuracy_score:',accuracy_knn_k4_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d203df3",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：5)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1ced389f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn5 E confusion_matrix:\n",
      " [[855   1  17  16   3   1 100   1   6   0]\n",
      " [  8 968   4  12   4   0   3   0   1   0]\n",
      " [ 24   2 819  11  75   0  69   0   0   0]\n",
      " [ 41   8  15 860  39   0  34   0   3   0]\n",
      " [  2   1 126  26 773   0  71   0   1   0]\n",
      " [  1   0   0   0   0 822   5  96   1  75]\n",
      " [176   1 132  23  80   0 575   0  13   0]\n",
      " [  0   0   0   0   0   3   0 961   0  36]\n",
      " [  2   0  10   4   7   0  16   7 953   1]\n",
      " [  0   0   0   0   0   2   1  29   0 968]]\n",
      "knn5 E recall_score: 0.8554\n",
      "knn5 E precision_score: 0.8578152450755355\n",
      "knn5 E f1_score: 0.8546439722018904\n",
      "knn5 E accuracy_score: 0.8554\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_5 = KNeighborsClassifier(n_neighbors=5,p=2)\n",
    "neigh_E_5.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k5_E = neigh_E_5.predict(x_test_cen)\n",
    "print(y_test_pred_k5_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k5_E = confusion_matrix(y_test, y_test_pred_k5_E)\n",
    "recall_knn_k5_E = recall_score(y_test, y_test_pred_k5_E,average='weighted')\n",
    "precision_knn_k5_E = precision_score(y_test, y_test_pred_k5_E,average='weighted')\n",
    "f1_knn_k5_E = f1_score(y_test, y_test_pred_k5_E,average='weighted')\n",
    "accuracy_knn_k5_E = accuracy_score(y_test, y_test_pred_k5_E)\n",
    "\n",
    "print('knn5 E confusion_matrix:\\n',con_matrix_knn_k5_E)\n",
    "print('knn5 E recall_score:',recall_knn_k5_E)\n",
    "print('knn5 E precision_score:',precision_knn_k5_E)\n",
    "print('knn5 E f1_score:',f1_knn_k5_E)\n",
    "print('knn5 E accuracy_score:',accuracy_knn_k5_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc7ac3f1",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：6)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "67c6e402",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn6 E confusion_matrix:\n",
      " [[874   0  18  16   5   1  78   1   7   0]\n",
      " [  9 966   5  12   4   0   3   0   1   0]\n",
      " [ 24   2 830  11  68   0  65   0   0   0]\n",
      " [ 51   7  19 857  30   0  34   0   2   0]\n",
      " [  3   0 137  29 749   0  80   0   2   0]\n",
      " [  1   0   0   0   0 832   5  93   1  68]\n",
      " [193   0 141  23  74   0 557   0  12   0]\n",
      " [  0   0   0   0   0   3   0 969   0  28]\n",
      " [  2   0  14   5   7   0  14   7 949   2]\n",
      " [  0   0   1   0   0   1   0  37   0 961]]\n",
      "knn6 E recall_score: 0.8544\n",
      "knn6 E precision_score: 0.8574668117084646\n",
      "knn6 E f1_score: 0.8533673364607434\n",
      "knn6 E accuracy_score: 0.8544\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_6 = KNeighborsClassifier(n_neighbors=6,p=2)\n",
    "neigh_E_6.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k6_E = neigh_E_6.predict(x_test_cen)\n",
    "print(y_test_pred_k6_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k6_E = confusion_matrix(y_test, y_test_pred_k6_E)\n",
    "recall_knn_k6_E = recall_score(y_test, y_test_pred_k6_E,average='weighted')\n",
    "precision_knn_k6_E = precision_score(y_test, y_test_pred_k6_E,average='weighted')\n",
    "f1_knn_k6_E = f1_score(y_test, y_test_pred_k6_E,average='weighted')\n",
    "accuracy_knn_k6_E = accuracy_score(y_test, y_test_pred_k6_E)\n",
    "\n",
    "print('knn6 E confusion_matrix:\\n',con_matrix_knn_k6_E)\n",
    "print('knn6 E recall_score:',recall_knn_k6_E)\n",
    "print('knn6 E precision_score:',precision_knn_k6_E)\n",
    "print('knn6 E f1_score:',f1_knn_k6_E)\n",
    "print('knn6 E accuracy_score:',accuracy_knn_k6_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7eded0e",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：7) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c898c238",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn7 E confusion_matrix:\n",
      " [[857   1  20  17   5   0  92   1   7   0]\n",
      " [  8 967   6  12   4   0   2   0   1   0]\n",
      " [ 20   2 814  11  78   0  75   0   0   0]\n",
      " [ 35   5  16 869  36   0  37   0   2   0]\n",
      " [  2   0 122  25 760   0  89   0   2   0]\n",
      " [  1   0   0   0   0 806   5 107   1  80]\n",
      " [173   0 129  23  74   0 588   0  13   0]\n",
      " [  0   0   0   0   0   2   0 957   0  41]\n",
      " [  1   1  13   5   7   0  12   7 952   2]\n",
      " [  0   0   0   0   0   1   1  28   0 970]]\n",
      "knn7 E recall_score: 0.854\n",
      "knn7 E precision_score: 0.8570274817044016\n",
      "knn7 E f1_score: 0.8534427202406816\n",
      "knn7 E accuracy_score: 0.854\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_7 = KNeighborsClassifier(n_neighbors=7,p=2)\n",
    "neigh_E_7.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k7_E = neigh_E_7.predict(x_test_cen)\n",
    "print(y_test_pred_k7_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k7_E = confusion_matrix(y_test, y_test_pred_k7_E)\n",
    "recall_knn_k7_E = recall_score(y_test, y_test_pred_k7_E,average='weighted')\n",
    "precision_knn_k7_E = precision_score(y_test, y_test_pred_k7_E,average='weighted')\n",
    "f1_knn_k7_E = f1_score(y_test, y_test_pred_k7_E,average='weighted')\n",
    "accuracy_knn_k7_E = accuracy_score(y_test, y_test_pred_k7_E)\n",
    "\n",
    "print('knn7 E confusion_matrix:\\n',con_matrix_knn_k7_E)\n",
    "print('knn7 E recall_score:',recall_knn_k7_E)\n",
    "print('knn7 E precision_score:',precision_knn_k7_E)\n",
    "print('knn7 E f1_score:',f1_knn_k7_E)\n",
    "print('knn7 E accuracy_score:',accuracy_knn_k7_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d763aed0",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e17bb375",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn8 E confusion_matrix:\n",
      " [[865   0  19  15   5   0  87   1   8   0]\n",
      " [ 10 965   6  12   4   0   2   0   1   0]\n",
      " [ 22   1 823  10  75   0  69   0   0   0]\n",
      " [ 36   6  19 869  33   0  35   0   2   0]\n",
      " [  3   0 131  26 751   0  87   0   2   0]\n",
      " [  1   0   0   0   0 817   5  98   2  77]\n",
      " [190   1 138  25  73   0 560   0  13   0]\n",
      " [  0   0   0   0   0   2   0 968   0  30]\n",
      " [  0   1  13   6   8   0  13   6 951   2]\n",
      " [  0   0   0   0   0   1   1  33   0 965]]\n",
      "knn8 E recall_score: 0.8534\n",
      "knn8 E precision_score: 0.85617048422972\n",
      "knn8 E f1_score: 0.852424646323016\n",
      "knn8 E accuracy_score: 0.8534\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_8 = KNeighborsClassifier(n_neighbors=8,p=2)\n",
    "neigh_E_8.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k8_E = neigh_E_8.predict(x_test_cen)\n",
    "print(y_test_pred_k8_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k8_E = confusion_matrix(y_test, y_test_pred_k8_E)\n",
    "recall_knn_k8_E = recall_score(y_test, y_test_pred_k8_E,average='weighted')\n",
    "precision_knn_k8_E = precision_score(y_test, y_test_pred_k8_E,average='weighted')\n",
    "f1_knn_k8_E = f1_score(y_test, y_test_pred_k8_E,average='weighted')\n",
    "accuracy_knn_k8_E = accuracy_score(y_test, y_test_pred_k8_E)\n",
    "\n",
    "print('knn8 E confusion_matrix:\\n',con_matrix_knn_k8_E)\n",
    "print('knn8 E recall_score:',recall_knn_k8_E)\n",
    "print('knn8 E precision_score:',precision_knn_k8_E)\n",
    "print('knn8 E f1_score:',f1_knn_k8_E)\n",
    "print('knn8 E accuracy_score:',accuracy_knn_k8_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1973e9b",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8953aca7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn9 E confusion_matrix:\n",
      " [[855   0  20  18   5   0  92   1   9   0]\n",
      " [  8 964   7  13   4   0   3   0   1   0]\n",
      " [ 22   1 818  10  74   0  74   0   1   0]\n",
      " [ 35   4  16 867  37   0  39   0   2   0]\n",
      " [  1   0 125  24 757   0  92   0   1   0]\n",
      " [  1   0   0   1   0 799   5 108   3  83]\n",
      " [186   0 131  21  71   0 578   0  13   0]\n",
      " [  0   0   0   0   0   2   0 963   0  35]\n",
      " [  0   1  13   4   9   0  15   6 950   2]\n",
      " [  0   0   0   0   0   1   1  30   0 968]]\n",
      "knn9 E recall_score: 0.8519\n",
      "knn9 E precision_score: 0.8552816069950483\n",
      "knn9 E f1_score: 0.8513176586275853\n",
      "knn9 E accuracy_score: 0.8519\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_E_9 = KNeighborsClassifier(n_neighbors=9,p=2)\n",
    "neigh_E_9.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k9_E = neigh_E_9.predict(x_test_cen)\n",
    "print(y_test_pred_k9_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k9_E = confusion_matrix(y_test, y_test_pred_k9_E)\n",
    "recall_knn_k9_E = recall_score(y_test, y_test_pred_k9_E,average='weighted')\n",
    "precision_knn_k9_E = precision_score(y_test, y_test_pred_k9_E,average='weighted')\n",
    "f1_knn_k9_E = f1_score(y_test, y_test_pred_k9_E,average='weighted')\n",
    "accuracy_knn_k9_E = accuracy_score(y_test, y_test_pred_k9_E)\n",
    "\n",
    "print('knn9 E confusion_matrix:\\n',con_matrix_knn_k9_E)\n",
    "print('knn9 E recall_score:',recall_knn_k9_E)\n",
    "print('knn9 E precision_score:',precision_knn_k9_E)\n",
    "print('knn9 E f1_score:',f1_knn_k9_E)\n",
    "print('knn9 E accuracy_score:',accuracy_knn_k9_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85d149f2",
   "metadata": {},
   "source": [
    "## KNN(euclidean_distance；n_neighbors：10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "315938fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn10 E confusion_matrix:\n",
      " [[863   0  20  19   5   0  84   1   8   0]\n",
      " [  8 964   6  13   4   0   4   0   1   0]\n",
      " [ 21   2 813   7  82   0  74   0   1   0]\n",
      " [ 37   4  14 871  37   0  35   0   2   0]\n",
      " [  1   0 128  25 755   0  90   0   1   0]\n",
      " [  1   0   0   1   0 807   5 100   2  84]\n",
      " [195   0 135  22  76   0 560   0  12   0]\n",
      " [  0   0   0   0   0   2   0 969   0  29]\n",
      " [  1   1  14   3   8   0  16   6 949   2]\n",
      " [  0   0   0   0   0   1   1  34   0 964]]\n",
      "knn10 E recall_score: 0.8515\n",
      "knn10 E precision_score: 0.8544566590179363\n",
      "knn10 E f1_score: 0.8506366581732875\n",
      "knn10 E accuracy_score: 0.8515\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_E_10 = KNeighborsClassifier(n_neighbors=10,p=2)\n",
    "neigh_E_10.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k10_E = neigh_E_10.predict(x_test_cen)\n",
    "print(y_test_pred_k10_E)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k10_E = confusion_matrix(y_test, y_test_pred_k10_E)\n",
    "recall_knn_k10_E = recall_score(y_test, y_test_pred_k10_E,average='weighted')\n",
    "precision_knn_k10_E = precision_score(y_test, y_test_pred_k10_E,average='weighted')\n",
    "f1_knn_k10_E = f1_score(y_test, y_test_pred_k10_E,average='weighted')\n",
    "accuracy_knn_k10_E = accuracy_score(y_test, y_test_pred_k10_E)\n",
    "\n",
    "print('knn10 E confusion_matrix:\\n',con_matrix_knn_k10_E)\n",
    "print('knn10 E recall_score:',recall_knn_k10_E)\n",
    "print('knn10 E precision_score:',precision_knn_k10_E)\n",
    "print('knn10 E f1_score:',f1_knn_k10_E)\n",
    "print('knn10 E accuracy_score:',accuracy_knn_k10_E)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cca90cd2",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "64efa472",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn1 M confusion_matrix:\n",
      " [[799   2  19  21   4   0 150   1   4   0]\n",
      " [  3 977   1  11   3   0   4   0   1   0]\n",
      " [ 20   0 773   9  98   0 100   0   0   0]\n",
      " [ 36   8  16 856  38   0  43   0   3   0]\n",
      " [  3   0 132  28 740   0  94   0   3   0]\n",
      " [  0   0   0   0   0 918   0  43   0  39]\n",
      " [164   1 127  30  64   0 606   0   8   0]\n",
      " [  0   0   0   0   0   4   0 946   0  50]\n",
      " [  5   1  11   5   2   2  17   9 947   1]\n",
      " [  1   0   0   0   0   2   0  33   0 964]]\n",
      "knn1 M recall_score: 0.8526\n",
      "knn1 M precision_score: 0.8551283967631321\n",
      "knn1 M f1_score: 0.8533862229493676\n",
      "knn1 M accuracy_score: 0.8526\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_1 = KNeighborsClassifier(n_neighbors=1,p=1)\n",
    "neigh_M_1.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k1_M = neigh_M_1.predict(x_test_cen)\n",
    "print(y_test_pred_k1_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k1_M = confusion_matrix(y_test, y_test_pred_k1_M)\n",
    "recall_knn_k1_M = recall_score(y_test, y_test_pred_k1_M,average='weighted')\n",
    "precision_knn_k1_M = precision_score(y_test, y_test_pred_k1_M,average='weighted')\n",
    "f1_knn_k1_M = f1_score(y_test, y_test_pred_k1_M,average='weighted')\n",
    "accuracy_knn_k1_M = accuracy_score(y_test, y_test_pred_k1_M)\n",
    "\n",
    "print('knn1 M confusion_matrix:\\n',con_matrix_knn_k1_M)\n",
    "print('knn1 M recall_score:',recall_knn_k1_M)\n",
    "print('knn1 M precision_score:',precision_knn_k1_M)\n",
    "print('knn1 M f1_score:',f1_knn_k1_M)\n",
    "print('knn1 M accuracy_score:',accuracy_knn_k1_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e0897ba",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：2) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ad1745ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn2 M confusion_matrix:\n",
      " [[896   4  28  17   5   0  47   1   2   0]\n",
      " [  9 977   0   9   2   0   3   0   0   0]\n",
      " [ 32   2 864   9  56   0  37   0   0   0]\n",
      " [ 66  13  25 869  18   0   8   0   1   0]\n",
      " [  6   2 215  49 689   0  38   0   1   0]\n",
      " [  2   0   0   0   1 939   0  35   1  22]\n",
      " [257   4 172  28  93   0 441   1   4   0]\n",
      " [  0   0   0   0   0   9   0 971   0  20]\n",
      " [ 10   1  12   9   3   2  18   9 935   1]\n",
      " [  1   0   0   0   0   3   0  55   0 941]]\n",
      "knn2 M recall_score: 0.8522\n",
      "knn2 M precision_score: 0.8586424627810993\n",
      "knn2 M f1_score: 0.8482808985089554\n",
      "knn2 M accuracy_score: 0.8522\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_2 = KNeighborsClassifier(n_neighbors=2,p=1)\n",
    "neigh_M_2.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k2_M = neigh_M_2.predict(x_test_cen)\n",
    "print(y_test_pred_k2_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k2_M = confusion_matrix(y_test, y_test_pred_k2_M)\n",
    "recall_knn_k2_M = recall_score(y_test, y_test_pred_k2_M,average='weighted')\n",
    "precision_knn_k2_M = precision_score(y_test, y_test_pred_k2_M,average='weighted')\n",
    "f1_knn_k2_M = f1_score(y_test, y_test_pred_k2_M,average='weighted')\n",
    "accuracy_knn_k2_M = accuracy_score(y_test, y_test_pred_k2_M)\n",
    "\n",
    "print('knn2 M confusion_matrix:\\n',con_matrix_knn_k2_M)\n",
    "print('knn2 M recall_score:',recall_knn_k2_M)\n",
    "print('knn2 M precision_score:',precision_knn_k2_M)\n",
    "print('knn2 M f1_score:',f1_knn_k2_M)\n",
    "print('knn2 M accuracy_score:',accuracy_knn_k2_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02eacda7",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：3) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c0971c8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn3 M confusion_matrix:\n",
      " [[851   2  24  17   3   0  97   1   5   0]\n",
      " [  7 971   2  11   4   0   4   0   1   0]\n",
      " [ 22   2 821   7  73   0  74   0   1   0]\n",
      " [ 50   6  20 858  41   0  23   0   2   0]\n",
      " [  6   3 149  25 733   0  81   0   3   0]\n",
      " [  1   0   0   1   1 906   0  51   0  40]\n",
      " [207   3 133  21  66   0 562   0   8   0]\n",
      " [  0   0   0   0   0   5   0 951   0  44]\n",
      " [  8   0  10   5   2   2  12   9 950   2]\n",
      " [  0   0   0   0   0   0   0  27   1 972]]\n",
      "knn3 M recall_score: 0.8575\n",
      "knn3 M precision_score: 0.8596534467807933\n",
      "knn3 M f1_score: 0.8568576531942205\n",
      "knn3 M accuracy_score: 0.8575\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_M_3 = KNeighborsClassifier(n_neighbors=3,p=1)\n",
    "neigh_M_3.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k3_M = neigh_M_3.predict(x_test_cen)\n",
    "print(y_test_pred_k3_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k3_M = confusion_matrix(y_test, y_test_pred_k3_M)\n",
    "recall_knn_k3_M = recall_score(y_test, y_test_pred_k3_M,average='weighted')\n",
    "precision_knn_k3_M = precision_score(y_test, y_test_pred_k3_M,average='weighted')\n",
    "f1_knn_k3_M = f1_score(y_test, y_test_pred_k3_M,average='weighted')\n",
    "accuracy_knn_k3_M = accuracy_score(y_test, y_test_pred_k3_M)\n",
    "\n",
    "print('knn3 M confusion_matrix:\\n',con_matrix_knn_k3_M)\n",
    "print('knn3 M recall_score:',recall_knn_k3_M)\n",
    "print('knn3 M precision_score:',precision_knn_k3_M)\n",
    "print('knn3 M f1_score:',f1_knn_k3_M)\n",
    "print('knn3 M accuracy_score:',accuracy_knn_k3_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e84bee26",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：4) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "700dd979",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn4 M confusion_matrix:\n",
      " [[887   1  19  15   4   1  68   0   5   0]\n",
      " [  7 969   2  12   5   0   4   0   1   0]\n",
      " [ 20   1 833   9  73   0  63   0   1   0]\n",
      " [ 48   5  17 878  30   0  21   0   1   0]\n",
      " [  5   1 162  33 719   0  77   0   3   0]\n",
      " [  1   0   0   1   0 915   0  47   0  36]\n",
      " [237   2 138  19  89   0 506   1   8   0]\n",
      " [  0   0   0   0   0   5   0 970   0  25]\n",
      " [  3   1  10   3   8   2  16  12 945   0]\n",
      " [  1   0   0   0   0   2   0  39   0 958]]\n",
      "knn4 M recall_score: 0.858\n",
      "knn4 M precision_score: 0.8594919074641005\n",
      "knn4 M f1_score: 0.8559202164614611\n",
      "knn4 M accuracy_score: 0.858\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_M_4 = KNeighborsClassifier(n_neighbors=4,p=1)\n",
    "neigh_M_4.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k4_M = neigh_M_4.predict(x_test_cen)\n",
    "print(y_test_pred_k4_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k4_M = confusion_matrix(y_test, y_test_pred_k4_M)\n",
    "recall_knn_k4_M = recall_score(y_test, y_test_pred_k4_M,average='weighted')\n",
    "precision_knn_k4_M = precision_score(y_test, y_test_pred_k4_M,average='weighted')\n",
    "f1_knn_k4_M = f1_score(y_test, y_test_pred_k4_M,average='weighted')\n",
    "accuracy_knn_k4_M = accuracy_score(y_test, y_test_pred_k4_M)\n",
    "\n",
    "print('knn4 M confusion_matrix:\\n',con_matrix_knn_k4_M)\n",
    "print('knn4 M recall_score:',recall_knn_k4_M)\n",
    "print('knn4 M precision_score:',precision_knn_k4_M)\n",
    "print('knn4 M f1_score:',f1_knn_k4_M)\n",
    "print('knn4 M accuracy_score:',accuracy_knn_k4_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1759a1e9",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：5) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c48c2c52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn5 M confusion_matrix:\n",
      " [[862   1  16  19   4   0  92   1   5   0]\n",
      " [  5 970   3  12   5   0   4   0   1   0]\n",
      " [ 19   0 812   9  83   0  76   0   1   0]\n",
      " [ 37   5  16 883  35   0  23   0   1   0]\n",
      " [  2   1 139  28 753   0  75   0   2   0]\n",
      " [  1   0   0   1   0 900   0  57   0  41]\n",
      " [195   0 130  20  79   0 566   0  10   0]\n",
      " [  0   0   0   0   0   5   0 955   0  40]\n",
      " [  2   1  11   4   5   2  15   9 951   0]\n",
      " [  0   0   0   0   0   0   0  28   1 971]]\n",
      "knn5 M recall_score: 0.8623\n",
      "knn5 M precision_score: 0.8634042008227035\n",
      "knn5 M f1_score: 0.8614947282083681\n",
      "knn5 M accuracy_score: 0.8623\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_5 = KNeighborsClassifier(n_neighbors=5,p=1)\n",
    "neigh_M_5.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k5_M = neigh_M_5.predict(x_test_cen)\n",
    "print(y_test_pred_k5_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k5_M = confusion_matrix(y_test, y_test_pred_k5_M)\n",
    "recall_knn_k5_M = recall_score(y_test, y_test_pred_k5_M,average='weighted')\n",
    "precision_knn_k5_M = precision_score(y_test, y_test_pred_k5_M,average='weighted')\n",
    "f1_knn_k5_M = f1_score(y_test, y_test_pred_k5_M,average='weighted')\n",
    "accuracy_knn_k5_M = accuracy_score(y_test, y_test_pred_k5_M)\n",
    "\n",
    "print('knn5 M confusion_matrix:\\n',con_matrix_knn_k5_M)\n",
    "print('knn5 M recall_score:',recall_knn_k5_M)\n",
    "print('knn5 M precision_score:',precision_knn_k5_M)\n",
    "print('knn5 M f1_score:',f1_knn_k5_M)\n",
    "print('knn5 M accuracy_score:',accuracy_knn_k5_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "772570eb",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：6) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "dc73bed8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "knn6 M confusion_matrix:\n",
      " [[887   1  12  15   7   1  71   0   6   0]\n",
      " [  6 967   3  13   5   0   5   0   1   0]\n",
      " [ 20   1 833  10  65   0  70   0   1   0]\n",
      " [ 32   4  20 888  31   0  25   0   0   0]\n",
      " [  2   0 155  31 734   0  76   0   2   0]\n",
      " [  1   0   0   2   0 906   0  52   0  39]\n",
      " [224   1 145  21  68   0 530   0  11   0]\n",
      " [  0   0   0   0   0   5   0 968   0  27]\n",
      " [  2   1  13   5   7   2  13  10 945   2]\n",
      " [  0   0   0   0   0   1   0  33   1 965]]\n",
      "knn6 M recall_score: 0.8623\n",
      "knn6 M precision_score: 0.8637726848745424\n",
      "knn6 M f1_score: 0.8606629928034641\n",
      "knn6 M accuracy_score: 0.8623\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_6 = KNeighborsClassifier(n_neighbors=6,p=1)\n",
    "neigh_M_6.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k6_M = neigh_M_6.predict(x_test_cen)\n",
    "print(y_test_pred_k6_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k6_M = confusion_matrix(y_test, y_test_pred_k6_M)\n",
    "recall_knn_k6_M = recall_score(y_test, y_test_pred_k6_M,average='weighted')\n",
    "precision_knn_k6_M = precision_score(y_test, y_test_pred_k6_M,average='weighted')\n",
    "f1_knn_k6_M = f1_score(y_test, y_test_pred_k6_M,average='weighted')\n",
    "accuracy_knn_k6_M = accuracy_score(y_test, y_test_pred_k6_M)\n",
    "\n",
    "print('knn6 M confusion_matrix:\\n',con_matrix_knn_k6_M)\n",
    "print('knn6 M recall_score:',recall_knn_k6_M)\n",
    "print('knn6 M precision_score:',precision_knn_k6_M)\n",
    "print('knn6 M f1_score:',f1_knn_k6_M)\n",
    "print('knn6 M accuracy_score:',accuracy_knn_k6_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9112d9a1",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：7) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c107c12a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn7 M confusion_matrix:\n",
      " [[863   1  16  15   6   1  92   0   6   0]\n",
      " [  7 967   3  13   5   0   4   0   1   0]\n",
      " [ 20   1 818   8  74   0  77   0   2   0]\n",
      " [ 31   2  16 883  42   0  26   0   0   0]\n",
      " [  4   0 124  30 754   0  86   0   2   0]\n",
      " [  1   0   0   2   0 887   0  65   0  45]\n",
      " [189   0 129  21  69   0 579   0  13   0]\n",
      " [  0   0   0   0   0   3   0 960   0  37]\n",
      " [  2   1  12   5   7   2  12  10 947   2]\n",
      " [  0   0   0   0   0   0   0  28   1 971]]\n",
      "knn7 M recall_score: 0.8629\n",
      "knn7 M precision_score: 0.8642794118863271\n",
      "knn7 M f1_score: 0.8622851039660633\n",
      "knn7 M accuracy_score: 0.8629\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_7 = KNeighborsClassifier(n_neighbors=7,p=1)\n",
    "neigh_M_7.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k7_M = neigh_M_7.predict(x_test_cen)\n",
    "print(y_test_pred_k7_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k7_M = confusion_matrix(y_test, y_test_pred_k7_M)\n",
    "recall_knn_k7_M = recall_score(y_test, y_test_pred_k7_M,average='weighted')\n",
    "precision_knn_k7_M = precision_score(y_test, y_test_pred_k7_M,average='weighted')\n",
    "f1_knn_k7_M = f1_score(y_test, y_test_pred_k7_M,average='weighted')\n",
    "accuracy_knn_k7_M = accuracy_score(y_test, y_test_pred_k7_M)\n",
    "\n",
    "print('knn7 M confusion_matrix:\\n',con_matrix_knn_k7_M)\n",
    "print('knn7 M recall_score:',recall_knn_k7_M)\n",
    "print('knn7 M precision_score:',precision_knn_k7_M)\n",
    "print('knn7 M f1_score:',f1_knn_k7_M)\n",
    "print('knn7 M accuracy_score:',accuracy_knn_k7_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bc311d9",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：8) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ec13eda6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn8 M confusion_matrix:\n",
      " [[881   1  14  15   5   1  78   0   5   0]\n",
      " [  8 965   4  14   4   0   4   0   1   0]\n",
      " [ 19   1 827   9  70   0  72   0   2   0]\n",
      " [ 30   3  14 880  42   0  31   0   0   0]\n",
      " [  1   0 152  33 731   0  80   0   3   0]\n",
      " [  1   0   0   2   0 890   0  61   0  46]\n",
      " [218   1 136  19  78   0 537   0  11   0]\n",
      " [  0   0   0   0   0   4   0 967   0  29]\n",
      " [  2   1  13   4   7   2  13  10 946   2]\n",
      " [  0   0   0   0   0   0   0  36   1 963]]\n",
      "knn8 M recall_score: 0.8587\n",
      "knn8 M precision_score: 0.8600690987231077\n",
      "knn8 M f1_score: 0.8573215289213068\n",
      "knn8 M accuracy_score: 0.8587\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_M_8 = KNeighborsClassifier(n_neighbors=8,p=1)\n",
    "neigh_M_8.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k8_M = neigh_M_8.predict(x_test_cen)\n",
    "print(y_test_pred_k8_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k8_M = confusion_matrix(y_test, y_test_pred_k8_M)\n",
    "recall_knn_k8_M = recall_score(y_test, y_test_pred_k8_M,average='weighted')\n",
    "precision_knn_k8_M = precision_score(y_test, y_test_pred_k8_M,average='weighted')\n",
    "f1_knn_k8_M = f1_score(y_test, y_test_pred_k8_M,average='weighted')\n",
    "accuracy_knn_k8_M = accuracy_score(y_test, y_test_pred_k8_M)\n",
    "\n",
    "print('knn8 M confusion_matrix:\\n',con_matrix_knn_k8_M)\n",
    "print('knn8 M recall_score:',recall_knn_k8_M)\n",
    "print('knn8 M precision_score:',precision_knn_k8_M)\n",
    "print('knn8 M f1_score:',f1_knn_k8_M)\n",
    "print('knn8 M accuracy_score:',accuracy_knn_k8_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2905a28",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：9) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "62805ec2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn9 M confusion_matrix:\n",
      " [[871   1  15  16   5   1  85   0   6   0]\n",
      " [  7 964   4  15   4   0   5   0   1   0]\n",
      " [ 18   1 805   7  77   0  90   0   2   0]\n",
      " [ 31   2  10 879  43   0  34   0   1   0]\n",
      " [  1   0 120  28 760   0  88   0   3   0]\n",
      " [  1   0   0   2   0 879   0  70   0  48]\n",
      " [197   1 130  20  75   0 566   0  11   0]\n",
      " [  0   0   0   0   0   3   0 963   0  34]\n",
      " [  2   1  15   4   7   2  12  10 945   2]\n",
      " [  0   0   0   0   0   0   0  30   1 969]]\n",
      "knn9 M recall_score: 0.8601\n",
      "knn9 M precision_score: 0.8614752768520191\n",
      "knn9 M f1_score: 0.8594653523654282\n",
      "knn9 M accuracy_score: 0.8601\n"
     ]
    }
   ],
   "source": [
    "# fit model \n",
    "neigh_M_9 = KNeighborsClassifier(n_neighbors=9,p=1)\n",
    "neigh_M_9.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction \n",
    "y_test_pred_k9_M = neigh_M_9.predict(x_test_cen)\n",
    "print(y_test_pred_k9_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k9_M = confusion_matrix(y_test, y_test_pred_k9_M)\n",
    "recall_knn_k9_M = recall_score(y_test, y_test_pred_k9_M,average='weighted')\n",
    "precision_knn_k9_M = precision_score(y_test, y_test_pred_k9_M,average='weighted')\n",
    "f1_knn_k9_M = f1_score(y_test, y_test_pred_k9_M,average='weighted')\n",
    "accuracy_knn_k9_M = accuracy_score(y_test, y_test_pred_k9_M)\n",
    "\n",
    "print('knn9 M confusion_matrix:\\n',con_matrix_knn_k9_M)\n",
    "print('knn9 M recall_score:',recall_knn_k9_M)\n",
    "print('knn9 M precision_score:',precision_knn_k9_M)\n",
    "print('knn9 M f1_score:',f1_knn_k9_M)\n",
    "print('knn9 M accuracy_score:',accuracy_knn_k9_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "425e966f",
   "metadata": {},
   "source": [
    "## KNN(manhattan_distance；n_neighbors：10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "61feeeb1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "knn10 M confusion_matrix:\n",
      " [[879   1  14  16   4   1  79   0   6   0]\n",
      " [  8 963   5  15   4   0   4   0   1   0]\n",
      " [ 18   1 813   8  76   0  82   0   2   0]\n",
      " [ 30   2  12 882  39   0  34   0   1   0]\n",
      " [  1   0 120  31 752   0  92   0   4   0]\n",
      " [  1   0   0   2   0 889   0  64   0  44]\n",
      " [209   1 134  21  78   0 544   0  13   0]\n",
      " [  0   0   0   0   0   3   0 967   0  30]\n",
      " [  1   1  17   6   7   2  12  11 941   2]\n",
      " [  0   0   0   0   0   0   0  38   1 961]]\n",
      "knn10 M recall_score: 0.8591\n",
      "knn10 M precision_score: 0.8600468109173369\n",
      "knn10 M f1_score: 0.8580068262303167\n",
      "knn10 M accuracy_score: 0.8591\n"
     ]
    }
   ],
   "source": [
    "# fit model\n",
    "neigh_M_10 = KNeighborsClassifier(n_neighbors=10,p=1)\n",
    "neigh_M_10.fit(x_train_cen, y_train)\n",
    "\n",
    "# model prediction\n",
    "y_test_pred_k10_M = neigh_M_10.predict(x_test_cen)\n",
    "print(y_test_pred_k10_M)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "# results measures\n",
    "con_matrix_knn_k10_M = confusion_matrix(y_test, y_test_pred_k10_M)\n",
    "recall_knn_k10_M = recall_score(y_test, y_test_pred_k10_M,average='weighted')\n",
    "precision_knn_k10_M = precision_score(y_test, y_test_pred_k10_M,average='weighted')\n",
    "f1_knn_k10_M = f1_score(y_test, y_test_pred_k10_M,average='weighted')\n",
    "accuracy_knn_k10_M = accuracy_score(y_test, y_test_pred_k10_M)\n",
    "\n",
    "print('knn10 M confusion_matrix:\\n',con_matrix_knn_k10_M)\n",
    "print('knn10 M recall_score:',recall_knn_k10_M)\n",
    "print('knn10 M precision_score:',precision_knn_k10_M)\n",
    "print('knn10 M f1_score:',f1_knn_k10_M)\n",
    "print('knn10 M accuracy_score:',accuracy_knn_k10_M)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1039d20a",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=3）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ff0e656a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6cacf6fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "tree3 confusion_matrix:\n",
      " [[652  15  32  72  18   1 190   0  18   2]\n",
      " [ 15 899   4  57   9   0  11   0   5   0]\n",
      " [ 25   9 571  19 205   1 153   0  15   2]\n",
      " [ 72  63  19 715  60   2  61   0   8   0]\n",
      " [ 14   4 197  59 555   1 147   0  22   1]\n",
      " [  1   1   2   0   3 826   1 112  12  42]\n",
      " [152  10 167  63 140   2 439   1  26   0]\n",
      " [  1   0   0   0   0  82   1 812  15  89]\n",
      " [  9   2  22  12  23  13  35   8 863  13]\n",
      " [  0   0   1   0   0  47   1  82  11 858]]\n",
      "tree3 recall_score: 0.719\n",
      "tree3 precision_score: 0.7205855179600593\n",
      "tree3 f1_score: 0.7196896107218205\n",
      "tree3 accuracy_score: 0.719\n"
     ]
    }
   ],
   "source": [
    "# Decision tree model ,max depth is 3\n",
    "clf_3 = DecisionTreeClassifier(max_features=3)\n",
    "# To start training, we input 60000 features and labels from the training set \n",
    "clf_3.fit(x_train_cen, y_train)\n",
    "# The features of the 10000 test set are predicted according to the model trained above\n",
    "y_test_pred_tree3 = clf_3.predict(x_test_cen)\n",
    "# Outputs the predicted labels for the test set\n",
    "print(y_test_pred_tree3)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "# The results predicted by the test set are compared with the real results of the actual test set. Get the confusion matrix\n",
    "con_matrix_tree3 = confusion_matrix(y_test, y_test_pred_tree3)\n",
    "recall_tree3 = recall_score(y_test, y_test_pred_tree3,average='weighted')\n",
    "precision_tree3 = precision_score(y_test, y_test_pred_tree3,average='weighted')\n",
    "f1_tree3 = f1_score(y_test, y_test_pred_tree3,average='weighted')\n",
    "accuracy_tree3 = accuracy_score(y_test, y_test_pred_tree3)\n",
    "\n",
    "print('tree3 confusion_matrix:\\n',con_matrix_tree3)\n",
    "print('tree3 recall_score:',recall_tree3)\n",
    "print('tree3 precision_score:',precision_tree3)\n",
    "print('tree3 f1_score:',f1_tree3)\n",
    "print('tree3 accuracy_score:',accuracy_tree3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e27c009",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "5b4b9a48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "tree5 confusion_matrix:\n",
      " [[692   8  26  58  21   2 176   1  13   3]\n",
      " [ 17 910   7  43   9   0  13   0   1   0]\n",
      " [ 22   2 587  17 187   0 171   1  11   2]\n",
      " [ 73  41  26 732  57   1  60   0   8   2]\n",
      " [ 19   8 207  54 549   1 154   0   8   0]\n",
      " [  3   0   1   3   1 820   3 105  19  45]\n",
      " [165  14 145  48 125   5 476   0  22   0]\n",
      " [  0   0   1   0   0  81   0 824   3  91]\n",
      " [ 22   1  20  13  14  21  27  11 864   7]\n",
      " [  0   0   0   1   0  37   3  85   9 865]]\n",
      "tree5 recall_score: 0.7319\n",
      "tree5 precision_score: 0.7351977662887731\n",
      "tree5 f1_score: 0.7333415068773889\n",
      "tree5 accuracy_score: 0.7319\n"
     ]
    }
   ],
   "source": [
    "clf_5 = DecisionTreeClassifier(max_features=5)\n",
    "clf_5.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree5 = clf_5.predict(x_test_cen)\n",
    "print(y_test_pred_tree5)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree5 = confusion_matrix(y_test, y_test_pred_tree5)\n",
    "recall_tree5 = recall_score(y_test, y_test_pred_tree5,average='weighted')\n",
    "precision_tree5 = precision_score(y_test, y_test_pred_tree5,average='weighted')\n",
    "f1_tree5 = f1_score(y_test, y_test_pred_tree5,average='weighted')\n",
    "accuracy_tree5 = accuracy_score(y_test, y_test_pred_tree5)\n",
    "\n",
    "print('tree5 confusion_matrix:\\n',con_matrix_tree5)\n",
    "print('tree5 recall_score:',recall_tree5)\n",
    "print('tree5 precision_score:',precision_tree5)\n",
    "print('tree5 f1_score:',f1_tree5)\n",
    "print('tree5 accuracy_score:',accuracy_tree5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebcb3594",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f308fb38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 8]\n",
      "9\n",
      "2\n",
      "tree8 confusion_matrix:\n",
      " [[724   9  26  54  12   3 157   1  13   1]\n",
      " [ 13 908   6  49  10   1  10   0   3   0]\n",
      " [ 30   5 586  25 174   1 164   1  13   1]\n",
      " [ 46  43  22 757  74   6  44   0   7   1]\n",
      " [ 10   8 169  57 607   2 137   0  10   0]\n",
      " [  3   1   1   3   0 830   2  99  11  50]\n",
      " [155  10 153  54 136   1 455   1  35   0]\n",
      " [  0   0   0   0   0  75   0 848   2  75]\n",
      " [ 13   3  10  11  11  17  15   4 911   5]\n",
      " [  0   0   0   1   2  39   3  79   3 873]]\n",
      "tree8 recall_score: 0.7499\n",
      "tree8 precision_score: 0.7495720288770333\n",
      "tree8 f1_score: 0.7496685600711146\n",
      "tree8 accuracy_score: 0.7499\n"
     ]
    }
   ],
   "source": [
    "clf_8 = DecisionTreeClassifier(max_features=8)\n",
    "clf_8.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree8 = clf_8.predict(x_test_cen)\n",
    "print(y_test_pred_tree8)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree8 = confusion_matrix(y_test, y_test_pred_tree8)\n",
    "recall_tree8 = recall_score(y_test, y_test_pred_tree8,average='weighted')\n",
    "precision_tree8 = precision_score(y_test, y_test_pred_tree8,average='weighted')\n",
    "f1_tree8 = f1_score(y_test, y_test_pred_tree8,average='weighted')\n",
    "accuracy_tree8 = accuracy_score(y_test, y_test_pred_tree8)\n",
    "\n",
    "print('tree8 confusion_matrix:\\n',con_matrix_tree8)\n",
    "print('tree8 recall_score:',recall_tree8)\n",
    "print('tree8 precision_score:',precision_tree8)\n",
    "print('tree8 f1_score:',f1_tree8)\n",
    "print('tree8 accuracy_score:',accuracy_tree8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3d97f98",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "b291a90b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 7]\n",
      "9\n",
      "2\n",
      "tree10 confusion_matrix:\n",
      " [[709  10  33  52  15   2 159   1  19   0]\n",
      " [  7 917   6  39  13   0  15   0   2   1]\n",
      " [ 23   6 637  19 152   2 149   0  11   1]\n",
      " [ 62  28  15 757  64   3  56   1  14   0]\n",
      " [ 19   6 183  51 604   1 118   1  17   0]\n",
      " [  0   0   2   3   0 852   1  91  17  34]\n",
      " [169   8 136  53 133   2 473   0  26   0]\n",
      " [  0   0   0   0   0  72   0 846   4  78]\n",
      " [ 13   2  15  13  14  12  28  11 886   6]\n",
      " [  0   0   0   2   0  25   1  92   9 871]]\n",
      "tree10 recall_score: 0.7552\n",
      "tree10 precision_score: 0.7560950227040717\n",
      "tree10 f1_score: 0.7555632592043814\n",
      "tree10 accuracy_score: 0.7552\n"
     ]
    }
   ],
   "source": [
    "clf_10 = DecisionTreeClassifier(max_features=10)\n",
    "clf_10.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree10 = clf_10.predict(x_test_cen)\n",
    "print(y_test_pred_tree10)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree10 = confusion_matrix(y_test, y_test_pred_tree10)\n",
    "recall_tree10 = recall_score(y_test, y_test_pred_tree10,average='weighted')\n",
    "precision_tree10 = precision_score(y_test, y_test_pred_tree10,average='weighted')\n",
    "f1_tree10 = f1_score(y_test, y_test_pred_tree10,average='weighted')\n",
    "accuracy_tree10 = accuracy_score(y_test, y_test_pred_tree10)\n",
    "\n",
    "print('tree10 confusion_matrix:\\n',con_matrix_tree10)\n",
    "print('tree10 recall_score:',recall_tree10)\n",
    "print('tree10 precision_score:',precision_tree10)\n",
    "print('tree10 f1_score:',f1_tree10)\n",
    "print('tree10 accuracy_score:',accuracy_tree10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "438eeff5",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8c579cb7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 8]\n",
      "9\n",
      "2\n",
      "tree15 confusion_matrix:\n",
      " [[703   4  27  53   9   4 183   1  16   0]\n",
      " [  7 940   6  25  10   2   6   1   3   0]\n",
      " [ 24   8 618  16 171   3 151   0   9   0]\n",
      " [ 54  28  24 779  52   3  52   0   8   0]\n",
      " [ 14   5 160  52 632   0 130   0   7   0]\n",
      " [  1   2   2   0   0 861   1  78  24  31]\n",
      " [156   6 139  52 125   2 485   0  34   1]\n",
      " [  0   0   0   1   0  59   0 873   2  65]\n",
      " [ 15   2  12   9  11  10  32  11 888  10]\n",
      " [  1   0   1   0   3  34   3  81   4 873]]\n",
      "tree15 recall_score: 0.7652\n",
      "tree15 precision_score: 0.7667830919819197\n",
      "tree15 f1_score: 0.7658889368536062\n",
      "tree15 accuracy_score: 0.7652\n"
     ]
    }
   ],
   "source": [
    "clf_15 = DecisionTreeClassifier(max_features=15)\n",
    "clf_15.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree15 = clf_15.predict(x_test_cen)\n",
    "print(y_test_pred_tree15)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree15 = confusion_matrix(y_test, y_test_pred_tree15)\n",
    "recall_tree15 = recall_score(y_test, y_test_pred_tree15,average='weighted')\n",
    "precision_tree15 = precision_score(y_test, y_test_pred_tree15,average='weighted')\n",
    "f1_tree15 = f1_score(y_test, y_test_pred_tree15,average='weighted')\n",
    "accuracy_tree15 = accuracy_score(y_test, y_test_pred_tree15)\n",
    "\n",
    "print('tree15 confusion_matrix:\\n',con_matrix_tree15)\n",
    "print('tree15 recall_score:',recall_tree15)\n",
    "print('tree15 precision_score:',precision_tree15)\n",
    "print('tree15 f1_score:',f1_tree15)\n",
    "print('tree15 accuracy_score:',accuracy_tree15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2599e6d7",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "003d1d56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "tree20 confusion_matrix:\n",
      " [[730   9  24  62  12   1 149   0  12   1]\n",
      " [  9 936   4  32   8   1   7   0   3   0]\n",
      " [ 28   8 651  13 162   0 132   0   6   0]\n",
      " [ 42  47  20 774  52   2  57   0   5   1]\n",
      " [ 11   2 150  59 648   1 113   0  15   1]\n",
      " [  1   3   1   4   2 856   1  87  10  35]\n",
      " [160   7 139  49 102   0 526   0  14   3]\n",
      " [  1   0   0   0   0  69   0 862   6  62]\n",
      " [ 15   3  16  12  10  12  31  10 885   6]\n",
      " [  0   0   0   0   1  38   2  66   5 888]]\n",
      "tree20 recall_score: 0.7756\n",
      "tree20 precision_score: 0.7764956511731426\n",
      "tree20 f1_score: 0.7759796177489251\n",
      "tree20 accuracy_score: 0.7756\n"
     ]
    }
   ],
   "source": [
    "clf_20 = DecisionTreeClassifier(max_features=20)\n",
    "clf_20.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree20 = clf_20.predict(x_test_cen)\n",
    "print(y_test_pred_tree20)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree20 = confusion_matrix(y_test, y_test_pred_tree20)\n",
    "recall_tree20 = recall_score(y_test, y_test_pred_tree20,average='weighted')\n",
    "precision_tree20 = precision_score(y_test, y_test_pred_tree20,average='weighted')\n",
    "f1_tree20 = f1_score(y_test, y_test_pred_tree20,average='weighted')\n",
    "accuracy_tree20 = accuracy_score(y_test, y_test_pred_tree20)\n",
    "\n",
    "print('tree20 confusion_matrix:\\n',con_matrix_tree20)\n",
    "print('tree20 recall_score:',recall_tree20)\n",
    "print('tree20 precision_score:',precision_tree20)\n",
    "print('tree20 f1_score:',f1_tree20)\n",
    "print('tree20 accuracy_score:',accuracy_tree20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07ffc1f7",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "8d419390",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 2 1 ... 2 1 7]\n",
      "9\n",
      "2\n",
      "tree25 confusion_matrix:\n",
      " [[731   5  15  44  18   1 174   0  11   1]\n",
      " [  9 939   3  27   7   1   9   0   5   0]\n",
      " [ 24   4 631  16 162   0 151   0  12   0]\n",
      " [ 56  27  15 774  70   1  51   1   4   1]\n",
      " [ 16   2 177  54 627   0 110   0  14   0]\n",
      " [  1   2   1   3   0 878   1  77   4  33]\n",
      " [161   5 128  45 122   4 513   1  21   0]\n",
      " [  1   0   0   0   0  73   0 845   2  79]\n",
      " [  9   4  19  11  12   8  28  10 890   9]\n",
      " [  1   0   0   3   1  42   4  71   2 876]]\n",
      "tree25 recall_score: 0.7704\n",
      "tree25 precision_score: 0.7724212777508997\n",
      "tree25 f1_score: 0.7713367198380222\n",
      "tree25 accuracy_score: 0.7704\n"
     ]
    }
   ],
   "source": [
    "clf_25 = DecisionTreeClassifier(max_features=25)\n",
    "clf_25.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree25 = clf_25.predict(x_test_cen)\n",
    "print(y_test_pred_tree25)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree25 = confusion_matrix(y_test, y_test_pred_tree25)\n",
    "recall_tree25 = recall_score(y_test, y_test_pred_tree25,average='weighted')\n",
    "precision_tree25 = precision_score(y_test, y_test_pred_tree25,average='weighted')\n",
    "f1_tree25 = f1_score(y_test, y_test_pred_tree25,average='weighted')\n",
    "accuracy_tree25 = accuracy_score(y_test, y_test_pred_tree25)\n",
    "\n",
    "print('tree25 confusion_matrix:\\n',con_matrix_tree25)\n",
    "print('tree25 recall_score:',recall_tree25)\n",
    "print('tree25 precision_score:',precision_tree25)\n",
    "print('tree25 f1_score:',f1_tree25)\n",
    "print('tree25 accuracy_score:',accuracy_tree25)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8055c4f0",
   "metadata": {},
   "source": [
    "## Decision Tree（depth=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "fb83ac4c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 6 1 ... 8 1 5]\n",
      "9\n",
      "2\n",
      "tree30 confusion_matrix:\n",
      " [[708  11  16  48  15   2 189   0  10   1]\n",
      " [  7 936   8  31   6   2   4   0   5   1]\n",
      " [ 25   2 638  21 165   1 137   0  11   0]\n",
      " [ 45  32  19 773  66   2  48   0  12   3]\n",
      " [ 14   9 172  45 622   0 124   0  14   0]\n",
      " [  1   2   0   5   0 870   2  73   6  41]\n",
      " [147   6 130  40 119   1 532   0  24   1]\n",
      " [  0   0   0   0   0  50   0 876   1  73]\n",
      " [ 14   2  20   6  11  12  17   9 907   2]\n",
      " [  1   0   0   0   0  35   1  75   3 885]]\n",
      "tree30 recall_score: 0.7747\n",
      "tree30 precision_score: 0.7762618825347231\n",
      "tree30 f1_score: 0.7753591454887093\n",
      "tree30 accuracy_score: 0.7747\n"
     ]
    }
   ],
   "source": [
    "clf_30 = DecisionTreeClassifier(max_features=30)\n",
    "clf_30.fit(x_train_cen, y_train)\n",
    "\n",
    "y_test_pred_tree30 = clf_30.predict(x_test_cen)\n",
    "print(y_test_pred_tree30)\n",
    "print(y_test[0])\n",
    "print(y_test[1])\n",
    "\n",
    "con_matrix_tree30 = confusion_matrix(y_test, y_test_pred_tree30)\n",
    "recall_tree30 = recall_score(y_test, y_test_pred_tree30,average='weighted')\n",
    "precision_tree30 = precision_score(y_test, y_test_pred_tree30,average='weighted')\n",
    "f1_tree30 = f1_score(y_test, y_test_pred_tree30,average='weighted')\n",
    "accuracy_tree30 = accuracy_score(y_test, y_test_pred_tree30)\n",
    "\n",
    "print('tree30 confusion_matrix:\\n',con_matrix_tree30)\n",
    "print('tree30 recall_score:',recall_tree30)\n",
    "print('tree30 precision_score:',precision_tree30)\n",
    "print('tree30 f1_score:',f1_tree30)\n",
    "print('tree30 accuracy_score:',accuracy_tree30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "26e0793a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2520x2880 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3pPCwA3uQ4tYn0omKNW6S7z8/tnkKsGllJP97phV2B9htitufSic6zlWT2RoxS6nreHasi+CHr2N55ZttuJxCypZwFryb6JdNK7FC+Sm+ZQWTp+/DZgObDZZ/EcOqJY2rAFYXVil1Na6qljl1IxG5E7geY/bJJuBaIBz4AOgI7AEuU0od9pS/F5gAuIDblVIL67RvlaqWiMwFhgOJQCbwsFJqVl3HREu8GmgbZbovCzMCJ10SVqVLMnPk4Bi7TbiTSvM7zFDVat87Wk36cJBXZSf1XFyrqpaItAV+BHoqpUpEZB6GSFVPIFcp9ZSITAHilFL3iEhPYC4wAGgDLAFOUkrVWvOwrAanlBpvlW2NRtOYmKpa7wDCRKQCo+a2H7gXo3IEMBtYBtwDjAXeV0qVAakikoIR7FbUZVyj0Wi8xpAN9LqlkSgia6q9f10p9TqAUipDRJ4F9gElwCKl1CIRaamUOuApc0BEKpcqtQVWVrOV7tlXKzrAaTQan1BKcHs/xy27jiZqHEatrBOQB3woIlfXYaumamOdfSQ6wGk0Gp8xaRLvKCBVKZUFICKfAGcCmSLS2lN7aw0c8pRPB6qPLrbDaNLWSkBOE9FoNI2HkQ9OvNrqYR8wSETCRUSAkcA2YD5wjafMNcDnntfzgStEJEREOgHdgF/qOoGuwWk0Gh8xJ6OvUmqViHwErAWcwDrgdSASmCciEzCC4DhP+S2ekdatnvIT6xpBhaYW4ATEbv40CUumcwCDNpi/7m9lP2umiTg6+T9ptyacu/dYYtcyf1P9X53xR0dhnrK9Uuph4OHjdpdh1OZqKj8VmOqt/aYV4DQaTZOnci1qIKADnEaj8ZmmkArJG3SA02g0PmGkS2r8dabeoAOcRqPxmaawkN4bdIDTaDQ+YWQT0U1UjUbTDDGWaukAZwp3PrOHgSPzyctxcPO5vQC4+s79nD8+m/wcw/23/9OW1UsbngfLHwWskj3w291HL2NZOrS7xU10fzepj9txlwtiV3S6z03kKYq8FULadDvuCrAFQYc7XcQMrDsjx6Rn91Zl3L1pVE8AomKd3DcjlZbty8lMC2bqPzpRlO/7v/Picbs476K9iMDC+cl8/mEX7nl0Ne06FAEQEVlBcVEQt117js+2KzFL+enicbs57+JKXzvw+bwuVZ9dOj6FCbduZfwF51GQ71tiUit8DXS7daNrcIhIe+B/QCvAjbHIdrqvdhZ/mMAXs1sw+fnUY/Z/OrMFH79ujlScPwpYYR2hzzwnAMoFa891ED/Cze5H7bS92U3cWYrDPwh7X7DRa5aLoFhF9xedBLeAI7/Btn84OH2Js85zLPownvlvJ3HXC3uq9l028SDrfopi3iutuGziQS6fmMmsJ+pcd/w7kjsVcN5Fe5l0w1AqnDb+PW0Fq1e05OmHz6gqM+HWzRwpaniWWLOUn5I7FXDexXuZdP3ZHl9XsvrnluxPjySxRQl9z8ji0MGwBvtppq+BbtcbvFil0CSwMgw7gX8ppU4GBgETPfmcfGLzL1EU5lk758YsBaz8VUJIe0VIG0DAZVSCcBVBsKdCGHEyBHtyI4R1BVUO7noSBW9e9ftrMHh0Pks8UoFLPkxg8Hl5PvvbvmMhO7bEUVbmwO2ysWldIoOHHqhWQnH2ORl8v8S3wFkds5Sf2ncsOtbX9QlVvt5w+2bemtHT79R0VqlUBZrd+qgcRfVma2ysVNU6oJRa63ldiLHGrOF3ynFcfE0Wry7cyp3P7CEypu4akC/4o4CV842NxPONu6zj3S72PW9n7WgHe6fZ6XD771eU5C4RwnsobN4pHx5DXKKT3ENGzSr3UBCxCb5fg727o+ndN4eo6HJCQpz0H5xJUouj4i29Ts0h73AI+9MjfXfQg1nKT3t3R9H71Oq+HiKpZSkDzzpITlYoqSn+p+q2SqUq0Ox6g1vZvNoamxPSByciHYF+wKoaPrsRuBEgFO+CypfvJPHe9NYoBX+bvJ8bHkjn+bs6+u2nPwpY7go4/L3Q/g4jkGXOs5F8l4uEUYqchcKuR+z0fP1okDuSAvtesHPyf80Lzr6StjeKj+Z04/Hnf6a0xEFqSgwu19Gn7rBRGXy/pJ1f5zBL+SltbxQfvduVx19YQWmJndSUaFwu4fK/7eSBOwf75WMlVqlUBZrd+qjUZAgELA+xIhIJfAz8UylVcPznx6hqiXedw3nZQbjdglLCN3MT6d7Xf1UpfxWw8n4UInoogj2p9rO+sBE/0vi1xY9WFG8++oMoy4Sddzro+riLUN+lJQA4nO0gvoXxtI5vUUFeTsOeVYu+SuaOCcO559azKCwIqqqt2exuzhx2gOXf+lfpNlP5adGXydxx3TDumXgWhQXBZB4Ip2WbI7w8exlvfrSYxKRSpr+5nLj40kb3NZDt1ocCnMrm1dbYWOqBiARhBLd3lVKfmGW38sYGOPO8PPbs8K9z2QwFrJwFNhLGHNU9CEqCgjVGUCv4RQjtYOx3FsCOWx20v8NFVL+GP25XLo5h1DhDD3XUuBxWNFBNKSbWkE5ManmEM4cdqOpv69c/i/S9keRk+XdtzVR+Ot7X775px1UXns91fz2X6/56LtlZodxx3VAO5zask90qlapAs+sNf/gmqie/0yxgm1LquYbamfLSbvoMLiQ6zsk7qzYy57k29BlcSOeeR0AJmenBvHivf5kn/FXAcpVA/kqh04NHA1bnh1zs/Y8d5QIJVnR6yGiKHnzfRuk+yHjdTsbrRtmTX3USVIfI0pSXU+kzuNBQZVq9iXemteaDl1tx/39TOf+KHA5lBDP15k4N+u73Tf2F6OhynC4brz7Xh6JCo09n6Ej/BhcqMVP56b4nVhu+Om28Ou2UKl/NwiqVqkCzWy9NRBLQG6xU1ToL+AFDCqyyanOfUurr2o6JtsWrQY7zTPdFOa3p57ImXZI1P1BHxwa2hetBp0sKLMxQ1Yrr0UKNePOvXpX9ZMirtapqnQisVNX6kZpzqGs0mgAnUGpwTX4lg0ajaVqYmfDSanSA02g0PqEQnO7GH0DwBh3gNBqNzwTKUi0d4DQajW8o3URtECI2JMzfOW2/RxUfMd0mwKrTzb98N27fabpNgFkDGr7cqjFQeb+bE65pIug+OI1G06zRAU6j0TRLFIJLDzJoNJrmih5k0Gg0zRKlBxk0Gk1zRukAp9FomieBs9i+yQe4oGA3z7y7kaBgN3Y7/LgwgTkvJXPVrXs5/7JM8nON/Fezn0tm9fL4Bp/nkgmHGDM+GxFY8F4in85q0SA7NYnkVPKXGw9ywwMZXHbqqRQcrv/Sb3wrhh0fRoFA/EnlDHsqi/WvxbJ9XhRh8UbyzDMm5dJhuJGFd91/Y9nxURRiV5z5QA7tzy6pyzxg5PWf/uFacjJDeOSW3lw3eTcDh+fgrLBxIC2U5+/vTnGhfz8TM4VRbDbF9Hm/kpMZzCMT+9C5RyG3PrSToBA3bqfwyuMnsXOTd1lgrPa1En9EjeqjcURndA0OEQkFlgMhnvN8pJR62Fc7FeXClGtOofSIHbvDzbPvbWTN8jgAPnu7DR+/6V/GWYDk7iWMGZ/N7Rf2oKJCeGJOCqu+i2Z/qu+ZPWoTyUlsXc5pZxeSme5dip/ig3a2vBPNuK/TcYQqltzRgl1fRQBwyrX5nDrh2Nz7h1OC2PVVBOO+TqM408FXf2/N5YvSsNWTmHjs/2WQtiuc8EgjYK77OZa3n++E2yVcO2k3l92wj7ee6+zlt/89ZgujjP2/dNJ2hxMeYWSIuW7Sbt6b0ZE1PybQ/+wcrpu0iynX9msSvlbij6hRY/hbH0qByx0YAc7Ksd4yYIRS6lSgL3C+iAzy3YxQesS4Sx0OhcOhTH96dOhayrZ1EZSV2nC7hI0rIxlyfl6DbNUmknPTw2nMfKKtMUvSS9xOwVkquJ3gLBEiWvxe16GSPUsi6PKnYuzBEN3eSUxyBVkb686QnNCyjDOG5bLw46PqZOt+jsftSVu+fUM0ia3KvHe4BswURkloWcoZQ3NY+HHrqn0KqoJzRJST3KyGSwZaJeJilqjR8TSW6AwYo6jebI2NlaIzSinl0ZUiyLM1KPmczaZ4+bN1zP15Fet+jmXHxigALrrqADPmr+XOJ3YSGd3wnG97doRyysAiomKdhIS6OWNEAUltzMv1NujcPHIOBpO6zXshm4hWLvpMyOO94R2YMySZ4Cg37c4ympxb5kTz0UVtWXZvEmX5xr+wONNOZGtnteOdFGfWXUG/acou3ny2E+5ansajLz3Imh8a3uwHc4VRbpqSwpvTuuA+mjiZ15/qynWTdzF7yQomTN7F2883vLZ5IkRc/BE1Op7GEp1RGE1Ub7bGxuqU5XYRWQ8cAhYrpWoUnRGRNSKyplzVnEvf7RZuvaQf/zdsACf1KSK5WzFfzW3Ndef2Z+LYfuQeCuaGKbsb7GdaShjzZrTkybm/MXVOCqlbw3A5zfnnhIS6ueLWA/xvWhufjivLt7H32wjGf7ePq3/cS8URG799HknPKwu4Ykkaf/k8g/AkJyue8qQCrunRUcdXGDAsh7zcIFK2RtX4+eU37cPlEpZ+0bC+yCoXTBJGGTAsm7zc4N/5e8Hl+3nj6a5cM2owbzzdlTv+vb2Bnlov4uKPqFFNNJboTOUggzdbY2NpgFNKuZRSfYF2wAAR6V1DmSrRmWCpu++guNDBxlUx9D/7MHk5wVXCMws+bMVJpxTVeWx9LHw/kVvHnMzkv55EYZ6djNSGN3Wq0zq5jFbty3n1m63M/mkTia3LefnrrcQl1f2kzfg5jKh2FYTFu7EFQafRxWSuCyE80YXNDmKDky8rrGqGRrRyUXTgaI2t+KCDiBa112p7nlbAoHNyeGvxKu6Zto0+A/OY/LQRHEaOPciAYTk8c3cP/M1ZapYwSs9+BQwans1bi1Zwz7NbDX+f2sqosQf5aXEiAD8sTKL7KYWN7mtN+CtqVBONJToDRiD1ZmtsTsh6C6VUHrAMON/XY2PiKoiIMm7U4BAX/c7MI213OHFJR/+xZ47KYe9v/lX5YxKMgJPUppwhY/JY9nmcX/Yq2bMjjCtOO5VrhpzCNUNOIftAMLde0JPDWXX/ECPbODm0PhRniaAUZKwII7ZzBUcOHX3ypy6OIK6bcR2SRxaz66sIXOVQkOYgf08QSX1q7z97+/lO/G3EIK49dyBP/+tkNq6K5dl7enD6WbmMuz6dRyf2oqzU/1qGWcIob7/Qmb+NPJNrRw/m6ck9DX+n9CTnUAinnJEHwKkD88jY2/BkDdaJuPgvalQTjSk6EyhNVCtHUZOACqVUnoiEAaOAp321E9einMlP7cRmV4jAD98k8suyeCb/ZwedexhygZkZobz4UFe//H3o9d1ExblwOYWX729PUX7DLk1NIjkLP0j02U6LU8vodF4xH1/SFpsDEk4u4+QrCvj+viRytocgoohs62ToY9kAxHeroPMFxcwb0x6bQzHk4ex6R1Br4h8PpBAU5GbqrE0A7NgQzcuPdvPdkAerhVFefOQkbpqSgt2hqCiz8dIj3Zucr/6KGp1of+vDGEUNjLWoVorO9AFmA3aMmuI8pdRjdR0TY09UgyIvNt0Xt0XpksRm/hPqhq1WpUtq2NSJ+nDlWTNqZ48zpwZ9PK7Dhy2xGyiYIToT1rWN6vTsjV6V3fbnR5ut6MxGDDV7jUbTzDCr+SkiscBMoDfGUNl1wA7gA6AjsAe4TCl12FP+XmAC4AJuV0otrMt+YNQzNRpNk0HhXf+bl0FwOvCNUqoHcCqwDZgCfKuU6gZ863mPiPQErgB6YfTnzxCROjtidIDTaDQ+o7zc6kJEooGhGALxKKXKPQOSYzG6t/D8vcTzeizwvlKqTCmVCqQAA+o6hw5wGo3GNxQot3i1AYmV81w9W/XOu85AFvCWiKwTkZkiEgG0VEodAPD8rZyM2RZIq3Z8umdfrTT5xfYajabp4UMfXHYdgwwO4DTgNqXUKhGZjqc5Wgs1nbTOiqKuwWk0Gp8xaaJvOpBebYXTRxgBL1NEWgN4/h6qVr59tePbAfvrOkGtNTgReYk6oqNS6vb6vPcV5XbjLvJvRULNhi2aCtOzh+k2Z/YzZwXF8bT61l1/oQawvwHpE7xB4iyasPoHnyZiBpVrUf22o9RBEUkTke5KqR3ASGCrZ7sGeMrz93PPIfOB90TkOaAN0A34pa5z1NVEXeOn/xqNpjmiAPNWKdwGvCsiwcBu4Fo882ZFZAKwDxgHoJTaIiLzMAKgE5iolKo9xQ51BDil1Ozq70UkQilV7M830Wg0zQOzGkVKqfVATX10I2spPxWY6q39evvgRGSwiGzFmJ+CiJwqIjO8PYFGo2lueDeCqppAUkxvBhleAM4DcgCUUhsw5q5oNJo/KmZMhDsBeDVNRCmVJscmn6qz3avRaJoxqnlpMqSJyJmA8nQE3o6nuarRaP6gNIHamTd4E+Buxlgv1hbIABYCE610qi5mr9xCSZEdt9sQ87jtgoanx6nEH9WjOyf9woBB+8nLC+EfN44BYMIN6xk4aL+hTHUgkueeHUBxcTDnjNjDX8btqDq2U6c8brtlNLt31505IyjYzTPvbTaUxRyKH79JYM6LHao+/8uEDK6fspfLB5xBweG688w597rJfeCo2pYrw03UjSG48xWly51gA3ucEPtgKPakoz0YzoNussYXE3V9CJFXeSecU4lZyk8Xj9vFeRftRQQWzk/m8w+7cM+jq2nXwZhaFBFZQXFRELdde06D7Jvpa3UmPbePgaMKyct2cNMI/3+v1WksVS1/E6GeKOoNcEqpbOCqhp7Asxh2DZChlLqwoXaqc/e4rl7J7nmLP6pHixd3ZP78rky++2g29nVrW/HWrD643Taum7CBy6/YxpuzTmXpdx1Z+l1HADp2zOOhR3+sN7iBR1nsb72OKou9v5k1y+PYvj6KxFZl9BuST2aGd0HHkWyjxTuGOpdyKTIvKiZ0mANbtBB9kzEHr+iDcgrfLCf2nqPfv+CFMkIG+37NzVJ+Su5UwHkX7WXSDUOpcNr497QVrF7RkqcfPqOqzIRbN3OkqOEZba1SqVr0QTzz30rkrulp9Rf2gcZS1QLAmmmVpuPNKGpnEflCRLJE5JCIfC4ivih73EETb9L6o3q0eVMLCguPnZy79tdWuD0JAbdvTyAx6ff56Iads4/vl3b43f6aqUlZzPjkpvtTmfWf5AbNSypb48LeVnC0tmGLOHq8Kj22/VHyfYVRrpPvC1/MUn5q37GQHVviKCtz4HbZ2LQukcFDD1QroTj7nAy+X1Ln0sQT4uvxbF4VSaGJD+RKGk1Vq3IenDdbI+PNL/Y9YB7QGmP28IfAXG+Mi0g74E8Y+Z7MQQlPzN3Fywt2MOaqbNPMVmKm6hHA6PNSWb269e/2Dxu2j2XLvA1wHmWx+euZu3I1636KYceGKAaOyCU7M4TU7REN8q1kcQXho4/WeApeLePgxUWULHQSdaNRI3SXKIreKSdqQsNWWJil/LR3dzS9++YQFV1OSIiT/oMzSWpxtKnd69Qc8g6HsD89skF+munriaIx/Q0UTQZvHiuilHqn2vs5InKrl/ZfAO4GapZuwlDVAm4ECKX+oHLnJd3IzQwiJqGCp97fRVpKKJtXNfxHXR2zVY+uGL/VUKb6NvmY/d175FBa5mDvnlivbbndwq0X9yUiysmDM7bTsXsxV9ySzv1/79kg31SFouwHF9H/OBq4ov8RQvQ/QiicXUbxRxVE3xBC4RtlRF4RjC28YU9js5Sf0vZG8dGcbjz+/M+UljhITYnB5TpqfNioDL5f4p8IeOOpVDWMRvW3CV+X6tRagxOReBGJB5aKyBQR6SgiySJyN/BVfYZF5ELgkFLq17rKVVfVCqL+WkJuplHjyM8J4qcFMfToa046crNVj0adm8qAgfv5z1ODOL5DdthwX5qnx1KpLDZ4VC6t2pUy44sNvL30VxJblfHSZxuISyyv3whQusJJUHcb9oTf/wTCRgdRutQQ+qnY4qbg5TIyLymi+INyI/h96N05wFzlp0VfJXPHhOHcc+tZFBYEVdXWbHY3Zw47wPJvG948NdvXE0Gj+tsMmqi/YgwOXA7cBCzFUMb6B8Z6sfoYAlwsInuA94ERIjLHH2dDwlyERbiqXp8+rJA9O8zoUDVX9ej0/gcYd9l2Hn34LMrKjq0kiyjOPjuN731onsbE/15ZbNfWCMYPGsDfzzmdv59zOtkHQ7jtklM5nO3dYEPJIidh1Zqnzn1He41Lf3DiSDZ+GomvhdPys0hafhZJxOXBRF0TQsQ470dRzVR+iok1VMKSWh7hzGEHqvrb+vXPIn1vJDlZDVfUMtvXE0Fj+ivKu62xqWstaid/DCul7gXuBRCR4cBkpdTV/tiMS3Ly8KxUAOx2WPpZLGuW+adMBP6pHt1z7wr69DlEdEwZ77w7n3fe6c3ll28jKNjF1Ke+B2D7tgReftFYbtf7lCyys8M4eND7ZnVcUjmT/5OCzaYQm+KHBYn8srThivPuUkXZL05ip1QbJZ1RZgQ5AXsrOWYE1R/MVH66b+ovREeX43TZePW5PhQVGoF26Ej/Bhes8LU6U2bspc/gImLincxZs5V3prVk4dyEJutvvSiBJrAMyxu8UtXyCDb3BKqunlLqf16f5GiAq3OaSLTEq4G2Ud6a9R6LOiZsvc1Pl0SquVMJKmn1rTWp//YParjQcl04One0xK5z9x5L7AYKZqhqhSS3V63vvcOrsnv/cVfTVtUSkYeB4RgB7mtgDPAj4HWAU0otw2jeajSa5kATaH56gzeP9b9ipC45qJS6FkP5xpqsjBqNJjBoRovtS5RSbhFxelRwDmGIRWg0mj8i5ia8tBRvAtwajzjrGxgjq0XUkyZYo9E0b5rCCKk3eLMW9RbPy/+KyDdAtEe1XqPR/FEJ9AAnIqfV9ZlSaq01Lmk0mqZOc6jBTavjMwWMMNkXj+UAuXKAe/P2xnbBa6xSv7o9xZpr8GJXS8ziaGV+OiHnwUzTbYI1vkq2SYv+A70PTinV8KRaGo2m+dJERki9QSvbazQa39EBTqPRNFckQBJe6gCn0Wh8J0BqcN5k9BURuVpEHvK87yAiA6x3TaPRNEW8zSTSFEZavVmqNQMYDIz3vC8EXrHMI41G0/QJkHxw3jRRByqlThORdQBKqcMe+cBGwSoVISvsBpKv/tpd92YcW+bFgkBi9zJGPX0AR4hiw//i2PBOLDY7dDyniLPuyeLghlC+e6CVcaCCgbdn02V0kdfn8kcFrSYiIiu4/aEtJHcpAoQXHu1FeamNifdvIzjYjcslzHjyZHZuaViuNbNVtWryd/vGWC66fB8XXr4Pl0tY/WMSb00/ye9z1UoTqJ15gzcBrsKjjKUARCQJLzV1PMkuCzGEop3+pk2xSkXICruB5Ku/dosOOtjwvziu/iYVR6ji69vasPPLaKLaVLB7SSRXfrkHR4jiSI6RBj7hpDKu+HQPNgcUH7Lz3oWd6DQiBZuXPcL+qKDVxI13befXnxN58u6+OBxuQkJdTHl6I++91plff06i/5Asrr1jJ/feeEb9xmrAbFWtmvzt0z+XQcMPMfHyM3FW2IiJKzPlXLXRFJqf3uBNE/VF4FOghYhMxUiV9IQP5zhHKdXXjJxQVqkIWWE3kHw1w67bKThLBbcTnKU2IlpUsOm9WE6/KQdHiHE3hCcY2ZiDwlRVMHOW2XyW2PRHBe14wiKc9D7tMIs+MxJmOp02iouCUEB4pOFvRKST3KyGJ9AxU1WrNn8v+GsaH77VCWeFcUvnH7Yw4Y8yRlG92Robb9aivisiv2KkTBLgEqVUo8gA1qQi1OM0/zUZrLAbSL76azeylZPTrs/lraFdsYe4ST67mOSzj/DTf1qwf3U4K55Lwh6sOPveQ7TsUwrAwfWhLJnSmsL9QYx+dr/Xtbfj8VcFrXXbI+QfDubOR7bQ6aRCUrZF89oz3Xnj2e489vJaJvxzB2KDydc2jXG12vxtm3yEXqcd5m8Tf6O83M6s50/it60Wpi9vLjU4EekAHAG+AOYDxZ593qCARSLyq0c9qyb7N4rIGhFZU0Hd1WqrVISssBtIvvprtzTfxu4lkVyzdBcTfk6h4oiN7Z9F43YKZQU2LvtoL2dNOcSC29tU2WzVt5Srv0nl8k/2sOa/CTjLfO+QNkMFzWZXdO1RyNcfteP2KwdTWmJn3LV7uOCv6bwxrTt/v2AYb0zrzj8f2tIg+2ZTm782u5vIKCeTrhnImy+cxJSnN2BpFAqQfHDeNFG/Ar70/P0W2A0s8NL+EKXUaRhZgCeKyNDjC/iiqmWVipAVdgPJV3/tpv0UQXS7CsITXNiDoMt5hRxYG0Zkqwq6jC5CBFqdWgoCJbnHBqL4ruU4wtzk7PStSWWWClrOoVCyD4WwY7Nh46dvW9K1RwEjL9zPz9+1AODHxS05qdcJEFT2gtr8zTkU6vFX2LklBuUWomOt00htNtNElFKnKKX6eP52AwZg9MPVi1Jqv+fvIYx+PL/q+VapCFlhN5B89dduVJsKDq4Po6JEUArSfo4gvms5Xc4tIn2l0XQ8nBqEu0IIi3eRnxaE2xAJoyDDQV5qMNFtfbkZzVNBO5wTQlZmKG2TiwE4dUAO+1IjyM0O4ZTTD3v25bI/zRwhcH+pzd8VS1tw6hm5ALTpUIwjyE1BXtOVPDxR+NzzoZRaKyL1DieJSARgU0oVel6PBh5rgI9VWKUiZIXdQPLVX7ut+pbS9fxC3h/bEbFDUs9Sel2eh4hiyZTWzBnTCXuQ4txnDiAC+9eE8etr7bAFKURg+KOZhMW7vPbVHxW0mnjt6R7cNXUTjiA3B9PDeOGR3qxc1oKb7tqOza6oKLPx0uO9GmQbzFfVqsnf0hI7/3xkC6/M+wlnhY3nHu6Nz6M3vtAEamfeUK+qlohMqvbWBpwGJCilzqvnuM4YtTYwAul7SqmpdR0TLfFqoIys12lN08G6dEkWKJah0yX9nD2P/PJDfkW+0DbtVccbJ9VfENjx6KSmraoFRFV77cToi/u4voOUUrsxBGo0Gk1zw8QanGee7RogQyl1oYjEAx8AHYE9wGVKqcOesvcCEzDm1t6ulFpYl+06A5znxJFKqbv8/RIajaZ5IJg+gHAHsA2o7GOYAnyrlHpKRKZ43t8jIj2BK4BeQBtgiYicpJSqtX+j1kEGEXF4Dqw1dblGo/mDYtI0ERFpB/wJmFlt91hgtuf1bOCSavvfV0qVKaVSgRTqGbisqwb3C0ZwWy8i84EPgeLKD5VSn9TvvkajaXaYOwXkBeBuju0Ka6mUOgCglDogIi08+9sCK6uVS/fsqxVv+uDigRwMDQaFUUNVgA5wGs0fFe+XYSWKyJpq719XSr0OICIXAoeUUr+KyHAvbNU0OFJnqK0rwLXwjKBu5mhg88qoRqNp3vhQg8uuYxR1CHCxiFwAhALRIjIHyBSR1p7aW2sMsXkwamztqx3fDthf18nrCnB2IJIGRM0GExEGffqYb3elNTKu9pO7mW5T7c0w3SaALaZhc8Tqwyr1q/2f9rTEbps/bzXfaE3r3EzAiuknSjlNMmSCCaXuBe4F8NTgJiulrhaRZ4BrgKc8fz/3HDIfeE9EnsMYZOhGPSL0dQW4A0opvybmajSaZoj160yfAuaJyARgHzAOQCm1RUTmAVsxpqxNrGsEFeoOcI2fjlOj0TRJzF5nqpRaBizzvM7ByF5UU7mpQJ0LBqpTV4DTSwo0Gk3NBEgvfF3Cz7kn0hGNRhM4NIVklt6gZQM1Go1vNJFcb96gA5xGo/EJIXA66JtkgJs08WcG9k8nLz+Um/55cdX+iy/YzsVjduB2Cat+bcusd04H4PJLN3H+yF243MKrs87g1/VtfDufH6pH/5y8hgGDDpCXF8It148G4Kyh6Vx1zVbadyjgzokj+G1nPADDR+7jL5ftqDq2U+d8br95FLt3xdZ5jsTWZUx+JoW4xAqUggXvt+Tz2a2ZMn0n7TqVABAZ7aKowM6tF/uW3yAisoLbH9xCctciUPDCo70pK7Ux8b6thIW7yNwfxjMP9KGkuOE/FX/UuqTYRewr+3HsM7I9593aBnuOk6gPsnCkl5H9n05UdA0zClcoYv+7n6CUUrBB/oRWlPeOOGG+1ka7LqXc9+qeqvetOpTzzrOt+HRmi9oP8hKrFNbqRdfgQERiMdaY9ca4JNcppVbUd9yipV2Yv6A7d93+U9W+U3sf5Mwz0vjHnRdS4bQTE2Pc2B3a5TH8rL3ceMdFxMcf4alHljDh1rG43d4kK/aczw/VoyULk/ni8y78657VVfv27onm8YcHc9udvx5Tdtm3HVj2rZHtvWOnfB587Od6gxsYKlJvPJnMri2RhEW4ePGzjaz7KYan7jgqC3f9vXs4Uuh72u4b79rOrysSefKeowpNj89Yw6wXurN5bTznXpzOX/6WypxXGzbnz18VsJiZBynrF8nhu9tDhULK3agIO7n3tCP21QPHlA1fbCSozJreBVuek/h/7yP7mU5g866+YZViWfquUG4Z3aPqHO/+usWvLMRW++sNTSFbrzd4HwUaxnTgG6VUD4zUSV6J1Wze2pLCwmNTWF943k4++LQ3FU7jJs7PN57agweksezHZCqcdjIPRbH/QBTdu+b45KQ/qkebNyVRWHCsTGzavmgy0qNqOcJg2Ih9fL+0fZ1lKjmcFcyuLZGAR0VqVxgJLcurlVAMvSCHZV8k+uR7WIST3v1+r9DULrmYzWvjAFi3KoEhIxo+4dQftS454iJ46xGOjIo1dgQJKsKOs30Irra/T3EelFZG2SlGjc0d60BF2Iza3Anw1Vv6nlXIgb0hHMrwX1r4RPhbK81Ik6FBiEg0MBSYBaCUKldK5TXUXts2BfQ++RDTn/qaZ/69kJO6ZgOQGF9CVvbRZkh2TjgJCf6rTFnN0OHpfP+ddwGuOi3altKlZzE7NkRW7et9RiGHs4PYvzfMJ1uGQlMQdz6ymRff/ZnbH9xMSKiTvbuiGDQsC4CzRmWS2NL7IHE8Nal1eSvxZ8+swB1tJ/al/SRN2k3MK/uR0tqH7yo6hRL6SyG4FPbMcoJ2lWLP8T4Vuj++esvwsXks+yzWFFsnwt8aCSDZQCtrcJ2BLOAtEVknIjM9qcuP4RhVrYri31vxYLe7iYws444pY5g5+3Tu/9dyak1r0ASeHHXRvUcOZaV29u7xTUshNNzFA6/s5LXHO3Kk6GiNc/iF2Xz/pW+1N6iu0NSe268606PQlMoLj/XiT5ftY/qcFYSFO6u0NhuCP2pd4lIE7S6l+Pw4sp7rjAqxEflJdq3lj4yMxZUYRNLk3UTPOkh5j3Cvm6f++uoNjiA3g0bns/zLWFPsWe1vnfzRa3AY/XunAa8qpfphpFqacnyhY1S1gmrvEM7OieCnlR0AYUdKIm4lxESXkZ0TTlLi0cCYmHCEnNymIRBSG0PPSWOZl83TSuwONw+8soOl8xP5edHRfP42u+LM83JZ/pXvOf5/p9C0pBVdexSQvieSByf2546rB/P9wtYcSPetZlgdf9S6XAlBuBKCqDjJ+H+WnhlF0O46apN2oeC6VmQ934XD93XAVuzC2cb7pqBVimWVnHFOISmbwsnLNsem1f7WRbNR1fKDdCBdKbXK8/4j/Eie+fOq9vQ95SAAbVsXEORwk18QwsrV7Rl+1l6CHC5atiikbetCdqQ0XNDDakQUZw/LYLlPAU7xzyd3kZYSxqdvHjtC3G9IHum7Q8k+6LuSeY0KTbsjiYkrq/L1igm7WfCx703pSvxR63LHOXAlOrBnGP6EbCzG2a727yll7qombMj6IpRdcLb3/rpYpVhWyfBLDpvWPAXr/a2TAKnBWTaKqpQ6KCJpItJdKbUDY+mXV6kcptz5A316ZxITVcqcNz7mnff7sPC7LkyauILXXphPhdPOMy+eCQh702JZ/lMyr784H5fLxstvDPBpBBX8Uz26+/5V9Dk1i+iYMv73/lfMmd2TwoJg/nHbemJiynjkiZ/YnRLLg1POBqB3nyyys8I4eCCyHstH6XV6IaP+nE3q9nBenr8BgNnTOrD6+ziG/cn3wYXqvPafk7nr8Y2GQlNGOC880psRF+7nwnH7APh5aUsWz68zp2Cd+KsCln9Da+Kez0CcCmfLYPJua0PoygJiZh7Elu8i/vF9VHQKJffhZGz5ThIe3YcScCcEkXeHb9OFrFIsAwgJdXPa0EKm39Pwh8XxWOlvfTSF2pk31Kuq5Zdxkb4Y00SCMQSjr60Uj6iJ6Mi2amCfm813RKdLsixdkvPAQUvs6nRJWNKhtkp9S4HK9cvh8KT2qsel3qlqrXu96atqNRil1Hqg0b6cRqMxHwtEZyyjSa5k0Gg0TRwd4DQaTXNFTth8FP/QAU6j0fhGExkh9QYd4DQajc/oPjiNRtNsaQrLsLyhaQW44hLLpnRYgWvbb43tgte4j1i0PteiKRKWTOcA5qXXm8zGZy5rN9h0mwD2uDjTbUq+7xlnakTX4DQaTbOkiSzD8gYd4DQaje/oAKfRaJojeqKvRqNp1og7MCKcDnAajcY39Dw467BKZMMKu4Hkq5V2Z6/cQkmRHbfb0Je47QLfhH1qwl9fv57Zim/ntkQpGHllJn+6/mjSgPn/bc2cxzsyc+NqouOdOMuF16d0ZteGSGw2xd8f3UOvMwtOqL/VsdkU0+f9Sk5mMI9M7APARVemc9GVGbhcwurlCbw5rUuD7XvDH36aiIh0Bz6otqsz8JBS6oWG2rRKZMMKu4Hkq5V2K7l7XFcKGqh7cTz++rpvexjfzm3JE19uwhHk5omrT+a0EXm07lxK9v5gNv0QS2LbsqryS94z1K+mfbuB/GwHT/zfyTz51SZsXmblMvvajv2/dNJ2hxMe4QSgz4DDDBqRzS1/PgNnhY2Y+PJ6LJhAgNTgLEt4qZTaoZTqq5TqC5wOHAE+9cemVSIbVtgNJF+ttGsF/vqakRJGt36FhIS5sTvg5EEF/PKNIe04+5GOXHX/XqRaL3r6b+H0HmLYj0l0EhHtYvcG7/P5mXltE1qWcsbQHBZ+3Lpq358u38+HMztUpZbPz/Vf0KY+dEbfYxkJ7FJK7fXHiFUiG1bYDSRfrbQLgBKemLuLlxfsYMxVtWsqeIu/vrbvXsK2VdEUHnZQVmJj3Xdx5OwPZs2iOOJbldOx57GTojueXMyaRfG4nHBoXwi7N0WQvd/7IGLmtb1pSgpvTuuCu1oTsU3HI/Q6PZ/n5/7K02+vo1tv35rPPqMwctV5szUyJ6oP7gpgbk0fiMiNwI0AodStpWCVyIYVdgPJVyvtAtx5STdyM4OISajgqfd3kZYSyuZV3teAjsdfX9t1K2HsLft5fPzJhEa4Se5ZjM2h+OTFtjzw3u+VLc+54hDpKWFMuaAPSe3K6H56IXaH9yc069oOGJZNXm4wKVujOOWMo3lj7XZFZLSTO8efxkmnFHLvtK1cd95ArNSf/8P3wVUiIsHAxcC9NX2ulHodeB0gWuLr/LdbJbJhhd1A8tVKuwC5mYad/JwgfloQQ4++R/wKcGb4OmL8IUaMPwTAe0+1Jzaxgh8/TeKu0Uanfc6BEO45vw9PfrmJ2BYV/P2Ro42PB8b2pnUn76UUzbq2PfsVMGh4NmecnUNQiJvwCBeTn9pKdmYIPy9JBISdm6JRboiOq6DgsDVN1UCaB3cimqhjgLVKqYarB3uwSmTDCruB5KuVdkPCXIRFuKpenz6skD07/Bu4MMPX/Gzj2Z6dEcwvCxIY+tcsZm5Ywysr1/HKynUktC7j6W82EtuigrISG6VHjFtl4/IY7A5Fu5NKTqi/AG+/0Jm/jTyTa0cP5unJPdm4KpZnp/Rk5beJnDowD4C2yUdwBCkKDluoruVt8/QP0kQdTy3NU1+xSmTDCruB5KuVduOSnDw8KxUAux2WfhbLmmX+6UOY4eu0G7tTeNiBw6GYMHU3kbGuWsvmZwcx9aqTsdkU8a3KuXW6b0kWrBaHWfRpa/757+3M+OwXnBU2nru/B1Y2TyFwanBWi86EA2lAZ6VUvcNG0RKvBspIy/zRWEAACa6AziayIv9T8p1Zfv3TomLbqX5D7/Cq7A9f3N2sRWeOAE1XpFSj0TSIQKnBBdxKBo1G08gowBUYEe5EzYPTaDTNCDMm+opIexFZKiLbRGSLiNzh2R8vIotF5DfP37hqx9wrIikiskNEzqvPTx3gNBqN75gziuoE/qWUOhkYBEwUkZ7AFOBbpVQ34FvPezyfXQH0As4HZohInSmKdYDTaDQ+Y0YNTil1QCm11vO6ENgGtAXGArM9xWYDl3hejwXeV0qVKaVSgRRgQF3n0AFOo9H4hvJhg0QRWVNtu7EmkyLSEegHrAJaKqUOgBEEgRaeYm0xZmVUku7ZVytNb5DBimkHVk2FsZkk4FEdd+3zsZokFl1bCbJmFv5l7c803ean6atMtwnw53Z1Vk4ahFL+/74EEO8HGbLrmyYiIpHAx8A/lVIFUnsMqOmDOh3RNTiNRuMzopRXW712RIIwgtu7SqlPPLszRaS15/PWwCHP/nSgfbXD2wH767KvA5xGo/EN35qotSJGVW0WsE0p9Vy1j+YD13heXwN8Xm3/FSISIiKdgG7AL3Wdo+k1UTUaTRPHtHWmQ4D/AzaJyHrPvvuAp4B5IjIB2AeMA1BKbRGRecBWjBHYiaqeNrcOcBqNxmfMWMmglPqR2hfN1rhmUyk1FZjq7Tl0gNNoNL7TBDKFeIMOcBqNxjeUT6OojUrABTgrFJomPbePgaMKyct2cNMI/+1VcsmEQ4wZn40ILHgvkU9ntaj/oHoICnEz7ZMUgoIVdofih69ieefZVn7bTWpTzl3T9xHXwolyw9dzEvhsVpLfdsE8Rak7n0ll4Ig88nKCuHl0bwDufTmFdp2N5JOR0S6KCuxMvKC3X/7abIqXFuwk52AQD13T2evjvpjZksVzk0DBuVdmcdH1mbw/rS2L30siOsFIUX71PemcPjIfZ4Xwyl2d2L0pHJdLOOev2fzl1gM++WnV79YrAiO+WRvgRORO4HqMy7EJuFYp5X0q1FowU6EJYNEH8cx/K5G7pqfVX9hLkruXMGZ8Nrdf2IOKCuGJOSms+i6a/an+5QGrKBPuHteF0iN27A7Fc5+lsPq7KLavjfDLrsspvP5YG1I2hRMW4eLlb3aydnlUk1LrWvxhIl/MbsHk51Kr9j15a9eq1zc8sI/iAv/nJl5yfRZpv4UQHuV9Xu6928NYPDeJZ77ciiPIzWNXd+f0EXkAXHTDQS65+eAx5X/+Mh5nuTD9282Uldi47ZxTOHtsDi3ae6+IZcXv1lu8mQLSFLBsmoiItAVuB/orpXoDdox1ZE2OzasiKTQxYAJ06FrKtnURlJXacLuEjSsjGXJ+ngmWhdIjxk3sCFLYg5Qp3SG5h4JI2WRoYpQU20lLCTVFdMZMRanNv0RRmFfb/0kx9E+5LJvvX3auxNblDBhZwIK5vtlJTwmle7+iKqWuXoMKWfVN7fncRBSlR2y4nFBWasMRpAiL9G0SrhW/W68JkIy+Vs+DcwBhIuIAwqlnUp5XmKzQZBV7doRyysAiomKdhIS6OWNEAUltzFGpstkUMxbv4IONW1i3PJId6/yrvR1Py3bldOldwva1dYsAeYOlal3V6D2giMPZQezf41+N8+ZHM5j5eBuUj6IqHbqXsGVVNAUepa5fv4sle38IAF+/3ZJ/jurNS//qRFGe8XAa/KfDhIa7ue60ftw44FQuuekAUXEBsopFAW4vt0bGsvCvlMoQkWcx5rGUAIuUUouOL+eLqhaYr9BkFWkpYcyb0ZIn5/5GabGd1K1huJzmLENzu4Vbzu1ORLSLh2elkty9hL07wkyxHRru4sGZe/jvQ204UuR/c89Kta7qDL84x+/a28BR+eRlO0jZFE6fwYU+Hdu+WymX3rKfR8d3JzTCRceeR7A7FOf/LZNx/8xABN57ph1v/bsDt01L5bf1Edhsilm/rqco3879l55Mn7MLaJVcVv/JGhnBu1UKTQErm6hxGKv/OwFtgAgRufr4ckqp15VS/ZVS/YMIqdduTQpNTZWF7ydy65iTmfzXkyjMs5ORWv/384XiAjsbVkRyxjm+3Yy1YXcoHpy5h+8+ieOnBbGm2LRSrasSm10x5PzDLP8i3i87PfsXM2h0AbNXbuHeGXs5dUghd7/ovZTvqPHZTPtmC1M/3k5UrJPWnUqJTXJit4PNBqOvPMRv643a9vLPEug3PB9HkCI20UmPM4rYtdHcmriluN3ebY2MlU3UUUCqUipLKVUBfAL4tdLZCoUmK4nxjJwltSlnyJg8ln3uf479mHhDWR0gONTNaWcXkZZixjVQTJqWRtpvoXzyujmjp2CdWld1+p1VQNquMLIP+rdA/62n2nB1/15cM6gXT96SzIafovjP7cleH5/nUerKyghm5YI4zh6bU/VABlj5TRzJ3Q01rqQ25Wz6ORqloPSIjZ1rI2nbxXulrkZFN1EBo2k6yCM8U4IxM3mNPwatUGgCmDJjL30GFxET72TOmq28M60lC33sZK6Jh17fTVScC5dTePn+9hTl+3+541tWMHn6Pmw2o1aw/IsYVi3x/xr0GlDMqHGH2b01lBmLdwDw1pOtWf1d4ytgVTLlxV30GVxIdJyTd1auZ87zbVn4QRLDL8ph2Xz/am9m8J8bu1Updd04dS+RsS5euD2Z1C3hiECL9mXc/NQeAMb8PZOXJnXmjpG9UUoYcVkWHXv6FuCs+t16Q6A0Ua1W1XoUuBxj3dg64HqlVK2dDNESrwbaRpnviE6XFHBYlS5JOc0f4Pg0LXDSJa1S31Kgcv3qDI4Jb6MGd5vgVdmFGx9v1qpaDwMPW3kOjUZzomkaU0C8IeBWMmg0mkYmgFS1dIDTaDQ+Eyh9cDrAaTQa39EBTqPRNEsU4NYBTqPRNEv0IEPDCZALB+gpHRaiKrzPquELtnD/19cejxXTOQC+zPjVdJtnnl9sjqEAuU+bXoDTaDRNGwW4msAyBS/QAU6j0fiIwud0K42EDnAajcZ3dBNVo9E0S/QoqkajadboGpxGo2m26ABnDWYpNJ0Iu4Hkq1V2rVLrMsvXoGA3z8zdXKVS9uM3CcyZ3p7ImArunf4bLduVkZkewpO3n0RRQcNuF3/Vrz6f2YKF7yWCgvOuzGbsDYcA+OLNJL58qwV2h6L/yHyueyCDpZ/E88mrR6/Fnm1hTP9mG517m5hrTilwBcYUKatVte4AbsBQr35DKfWCP/bMVGiy2m4g+WqlXSvUusz0taJcmPJ/vTwqZW6efX8La76P5czRuaxfEcOHr7Vl3E0ZXHZTBm8+433yy+r4o361Z3soC99L5LmvthEUpHjoqm70H5lPzoEgVi6M5eUlWwkKUVXJNs+5NJdzLs01jt0Wyr+v62pucKskQGpwVqYs740R3AYApwIXikg3f2yaqdBktd1A8tVKu1aodZnrazWVMofC4VEpGzwqlyWfGDXNJZ8kMfjc3Ab764/6VfpvofQ4rZjQMIXdAb0HFbLim1i+/l8S4yYeJCjECDSxic7fHfv9Z/EMG9twv+tEq2pxMrBSKXVEKeUEvgf+7I9BqxSarLAbSL5aabc6Zql1me2rzaZ4ef4G5q5aw7ofY9ixIYrYxAoOZxnnOJwVXJV+/kST3KOUzSsjKci1U1oirPkuhuz9wWTsDmXLL5FMurAHU/5yEjvX//6a/vBFPEMvsSLAKWMU1ZutkbGyiboZmCoiCRgpyy+ghpTlvqhqWaXQZIXdQPLVSruVmKnWZbavbrdw68WnEhHl5MFXd5DcrekIGbXvVspfJx7kwfEnERrholPPEux2hcslFOU7mPbFdnauD+fpmzszc8XmqmuzY204IWFuOvbwW2f99yhQf/SJvkqpbSLyNLAYKAI2YKQuP77c68DrYKQsr8umVQpNVtgNJF+ttAvmq3VZ5WtxoYONq6LpPzSPvOwg4pLKOZwVTFxSOfk55iqB+cLo8TmMHp8DwOwn25DYuoK0lHIGjzmMiNFkFxsU5DqISTBuseWfW9g8hYBZqmWp8LNSapZS6jSl1FAgF/jNH3tWKTRZYTeQfLXSrhVqXWb6GhNfQUSUERSCQ1z0OzOftN1hrPw2jlGXZgEw6tIsVixpPFGbygGEQxlBrFgQx7BLchl0Xh4bf4oCIGNXCM5yITre+B5uN/z4ZRxDrex/CxDZQKtHUVsopQ6JSAfgUmCwP/bMVGiy2m4g+WqlXSvUusz0NS6pnMnPpGCzgdgUP3ydwC9L49i2LpL7XtzJeeMOkbU/mKm3ndRgf/1Vv3rihs4UHnZgdyhunrqPyFgX516Rw/R/JXPLiJ4EBSnufGFPVfN088pIEluX0yrZmowsQJMYQPAGq1W1fgASgApgklLq27rKR0u8GigjLfNHo7EiXZL7iDV9dtakS8rg1w1l/qlq2RPVoLA/eVV2UfH/mrWq1tlW2tdoNI1B05gC4g0Bt5JBo9E0MnqxvUajaa4oQAXIUi1LR1E1Gk0zRHkSXnqz1YOInC8iO0QkRUSmmO2qrsFpNBqfUSY0UUXEDrwCnAukA6tFZL5Saqvfxj3oGpxGo/Edc2pwA4AUpdRupVQ58D4w1kw3LZ0m4isikgXs9aJoIpBtgQvabmD5Gmh2m4KvyUopv2Zci8g3nnN6QyhQfb3Y657VS4jIX4HzlVLXe97/HzBQKXWrP/5Vp0k1Ub298CKyxoq5NdpuYPkaaHYDyde6UEqdb5KpmubjmVrj0k1UjUbTWKQD7au9bwfsN/MEOsBpNJrGYjXQTUQ6iUgwcAUw38wTNKkmqg+8ru1aZjeQfA00u4Hkq+UopZwiciuwELADbyqltph5jiY1yKDRaDRmopuoGo2m2aIDnEajabYEXICzYmmHiLwpIodEZLMZ9jw224vIUhHZJiJbPApjZtgNFZFfRGSDx+6jZtitZt8uIutE5EsTbe4RkU0isl5Efpe2voE2Y0XkIxHZ7rnGfuUa9Njs7vGxcisQkX+a4C4icqfn/7VZROaKiP/J9gy7d3hsbjHL12aFUipgNoyOyF1AZyAYIw16TxPsDgVOAzab6Gtr4DTP6yhgp0m+ChDpeR0ErAIGmej3JOA94EsTbe4BEk3+LcwGrve8DgZiLfitHcSYGOuvrbZAKhDmeT8P+LsJdntjaJ+EYwwYLgG6mXkdAn0LtBqcJUs7lFLLMVKqm4ZS6oBSaq3ndSGwDeOH7q9dpZQq8rwN8mymjBSJSDvgT8BMM+xZhYhEYzyUZgEopcqVUnkmn2YksEsp5c3KGm9wAGEi4sAISGbM9zJdua65EWgBri1QXT03HROChtWISEegH0Ztywx7dhFZDxwCFiulTLELvADcDZidTF8Bi0TkV4+Kmr90BrKAtzzN6ZkiEmGC3epcAcw1w5BSKgN4FtgHHADylVKLTDC9GRgqIgkiEo6hXNe+nmP+UARagLN8aYfZiEgk8DHwT6VUgRk2lVIupVRfjJnfAzwi234hIhcCh5RS5ufJhiFKqdOAMcBEERnqpz0HRpfCq0qpfkAxYFqqHc+k04uBD02yF4fR0ugEtAEiRORqf+0qpbYBlcp131CLct0fmUALcJYv7TATEQnCCG7vKqU+Mdu+p1m2DDBjbeAQ4GIR2YPR9B8hInNMsItSar/n7yHgU4yuBn9IB9Kr1Vw/wgh4ZjEGWKuUyjTJ3iggVSmVpZSqAD4BzjTDsDJZua65EWgBzvKlHWYhIoLRR7RNKfWciXaTRCTW8zoM4+bZ7q9dpdS9Sql2SqmOGNf1O6WU37UMEYkQkajK18BojKaVP74eBNJEpLtn10jAtBxiwHhMap562AcMEpFwz+9iJEafrN+ISAvP30rlOjP9DngCaqmWsmhph4jMBYYDiSKSDjyslJrlp9khwP8Bmzz9ZQD3KaW+9tNua2C2J1mgDZinlDJtSocFtAQ+Ne5rHMB7SqlvTLB7G/Cu50G3G7jWBJt4+rLOBW4ywx6AUmqViHwErMVoQq7DvOVVH4tIpXLdRKXUYZPsNgv0Ui2NRtNsCbQmqkaj0XiNDnAajabZogOcRqNptugAp9Fomi06wGk0mmaLDnABhIi4PFkuNovIh54pDQ219bZH1QjPUqeedZQdLiI+T0z1ZBH5nfpSbfuPK1NU1+c1lH9ERCb76qOmeaMDXGBRopTqq5TqDZQDN1f/0DM3zmeUUterusV2h2PSzHuN5kSiA1zg8gPQ1VO7Wioi72FMKraLyDMislpENorITWCsrBCRl0Vkq4h8BbSoNCQiy0Skv+f1+SKy1pNv7ltPooCbgTs9tcezPaspPvacY7WIDPEcmyAiizwL4F+j5rXDxyAin3kW4W85fiG+iEzz+PKtiCR59nURkW88x/wgIj1MuZqaZklArWTQGHhS7ozBWGANxtrO3kqpVE+QyFdKnSEiIcBPIrIII5tJd+AUjNUFW4E3j7ObBLwBDPXYildK5YrIf4EipdSznnLvAc8rpX70LBFaiJG652HgR6XUYyLyJ8CbzCHXec4RBqwWkY+VUjlABMZ60H+JyEMe27dirAC4WSn1m4gMBGYAIxpwGTV/AHSACyzCqi37+gFjreuZwC9KqVTP/tFAn8r+NSAG6IaRP22uUsoF7BeR72qwPwhYXmlLKVVbjrxRQE/P8iuAaM9606EY6yFRSn0lIt4sG7pdRCpzmLX3+JqDkbLpA8/+OcAnnswsZwIfVjt3iBfn0PxB0QEusCjxpEmqwnOjF1ffBdymlFp4XLkLqD+1lHhRBoyujcFKqZIafPF67Z+IDMcIloOVUkdEZBlQWypv5Tlv3vHXQKOpDd0H1/xYCPzDk6oJETnJk8VjOXCFp4+uNXBODceuAIaJSCfPsfGe/YUYadcrWYTRXMRTrq/n5XLgKs++MUBcPb7GAIc9wa0HRg2yEhtQWQu9EqPpWwCkisg4zzlERE6t5xyaPzA6wDU/ZmL0r60VQ0TnNYya+qcYucI2Aa9ipLc+BqVUFka/2ScisoGjTcQvgD9XDjIAtwP9PYMYWzk6mvsoRobZtRhN5X31+PoN4BCRjcC/gZXVPisGeonIrxh9bI959l8FTPD4twUTUtZrmi86m4hGo2m26BqcRqNptugAp9Fomi06wGk0mmaLDnAajabZogOcRqNptugAp9Fomi06wGk0mmbL/wNxsAcxFihqYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import ConfusionMatrixDisplay\n",
    "# results visualization\n",
    "fig=plt.figure(figsize=(35,40))\n",
    "disp_1_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k1_E,\n",
    "                             display_labels=neigh_E_1.classes_)\n",
    "disp_1_E.plot()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e1c8a25b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2520x2880 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import ConfusionMatrixDisplay\n",
    "\n",
    "fig=plt.figure(figsize=(35,40))\n",
    "disp_1_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k1_E,\n",
    "                             display_labels=neigh_E_1.classes_)\n",
    "disp_1_E.plot()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c8324e07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_2_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k2_E,\n",
    "                             display_labels=neigh_E_2.classes_)\n",
    "disp_2_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c9619bd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_3_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k3_E,\n",
    "                             display_labels=neigh_E_3.classes_)\n",
    "disp_3_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "07ea4c39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S6tWGzomRBDXMPtZ0XxZk6nRJpo4cHGa3BXdSaf6AGapanfrHqKkfDvfp2Kmpi+pV1fIGuOXAQKAImAs8AzwLjFZK7RORZOA7pVQfEbkDQCn1sPf8BcB9Sqmf67u+ZTU4pdQFVtnWaDTNiTmq9UqpPSLyBJAOlAMLlVILRaSdUmqf95h9IlKjUVgTEGvI9O6rl6Bqomo0mubHkA30uaWRJCK/1Hr9slLqZQBv39p4oBtQCHwoIhc3YKuuqNpgE0IHOI1G4xdKCR7f57jlNiD8PAbYpZTKARCRT4DjgSwRSa7VRM32Hp8JdKp1fkegwaVGQTWKqtFoWgYmTfRNB4aLSISICHAqsAmYB0zyHjMJ+Mz7fB4wUURCRaQb0Av4X0MX0DU4jUbjF0Y+OFP64FaIyEfAKsAFrAZeBqKAD0TkcowgOMF7/AbvSOtG7/HXNzSCCjrAaTQavzEvo69S6l7g3t/trsSozdV1/HRguq/2W1SAE5sNW5h5mSxqsGQ6B3DR5kzTbb6dGvjk2rpwtLcmjY5V6lf2Nm0ssevOybHE7p8JhVa212g0rZSatajBgA5wGo3Gb1pCKiRf0AFOo9H4hZEuSTdRNRpNK0X3wWk0mlaJkU1EN1E1Gk0rxFiqpQOcKSQlV3LL49uJT6pGKZj/Xjs+m53MtJlb6djNyOIaFeOmpMjODWcPbNI12qRUcevMdOLbulAe+GpOInNf9X2awqY3otjxUSQIxPWqZsTD+ax/MYbMb8IQG4QmeBjxcD4R7TxUFtj44aYE8taH0P2cMo67p7BR+3Wpap14ZgH/mLqPTr0qmHxWH7atbVrK7sioaib/ewNdepaAgqfv709lhY3r79xIeISbrL3hPH73AMpLm36rmKX8FBldzU33bqJLzxKUgqfvTSUzLZI7HltH25RysveG8/CtR1NS3PSkj1apVAWb3YbRNThEpBPwJtAe8GAssp3prx23S/jvw13YsSGK8Eg3z8xdy+plsTxyU++Dx1xxRxplxU0ftna7hJcfSGH7ugjCI9089/VWVi2NJn1b47m1yrJsbHkrirO+3I8jDH74VwJpX0aQenkxA28qAmDzm1GsmxXDsPsLsYcqBtxUROE2Jwe2+vZDXPhhAvPeaMOtT6cd3Je2JYwHruzO5EfTm/SZa7jq1s38+nMSD98+CIfDQ2iYm//M+oVXn+7D+lUJnHZ2Jn+/ZBdzXujVJPs1yk93TOxO7j4nz361jeULYn0q299z9W1b+XVZIg/dMsDwNdzN+ZenseZ/CXz4WlcmXJbGhMvTeP3p5vc1mO36ghkrGY4EVoZhF3CzUuooYDhwvTdhnV8U5ISwY0MUAOWldjJ2hJPYrrYwjGLUX/L47nPfE1/+nvxs50EtgvJSOxnbw/wS71BucFcIHhe4yoWItm6cUYeSHLjK5WD+fEeEou2xVdhDfM+jVpeqVsb2cDJ3BnYjh0e66H9MAQvnGhlnXC4bpSVOOnYpZf0qI4nq6hWJjDyl6ZKEZik/hUe66H9sAQs+TTnka7GT4SfnsHheMgCL5yUz4uSmT+S1SqUq2Ow2Rs0oajDIBlqZD24fUJPTqVhENmHkbtrYVJttO1TQI7WULb9FHdzX/7hiCnKd7N0dHqjLALTrWEWP/uVsXuWb+EpEOw9HXVbC3FOSsYcqkkdWknyCkfV3zVMx7PosAme0YszsljeDPrlDGQcKnEy5bz3dehWzfXMMLz3el907ohl+Ug7Lv2/LCWOySGrXdK3NupSf+g4u89/XjuUcKAhhygMb6d6nmO0bY3jxsT7EJVRRkGusfinIDSU2oemqaGb5Gux2fSFYmqhHxEsR6QocA6yo472DqlpVqv4fUliEm7uf38pL/+lKWcmhuDz6rFy+/6LptbffX+Pfr6Tx4j0plJX41uStPCBkfhPG+MX7OXfpPlzlwq55RnAcNKWIv323n65nlbF1TlQjlo48NruiZ99ivvqoE5MvOp6KcjsTLt3F0w/048zz0pk552fCI1y4qpt+m5il/GSv8fXDjtx4/nAqyu2cd1lak/2qC6tUqoLNbmOYqclgNZYHOBGJAj4G/qWUKvr9+7VVtUKk7iaX3eHh7ue3sGReEj8tPJTL3mZXHH96Pku/DDy/vd2h+PcraXz7SfxhgtCNsf/nMKI6uglL8GBzQqfTyslZHXLYMV3PKiN9kTk1TDPJyw4jNzuULevjAFi2uD09+xaRmRbFv68fwk0Xj+D7Bcnsy2y672YpP+VmhZKbFcqWdYaoyo+L2tKjbxGF+SHEJxk15vikSg7khzRk5oj4Gux2G0MBLmXzaWtuLPVARJwYwe1tpdQnTbOi+NfDO8jYHs6nr6Uc9s4xIwvJ3BlG7v5AF+grps7IIGNbGJ+87N8i78hkN7m/heAqF5SC/T+HEtu9mqK0Q7XMPd+GEdOt5QkIF+SFkpMVRocuhvTiwKF5pO+MIjbeCBgiiomX72T+x50aMtMgZik//d7XQcPySd8ZxfLv2jDm7H0AjDl7H8uXNH2RvlUqVcFm1xc8yubT1txYOYoqwKvAJqXUk0210+/YYsb8LZddmyN4bt5vAMye0ZmV38dz0pmBDS4cvMbQUsZMKGDnxjBmLdoCwOsPJ7Py28aVmpIGVtF5bDnzz22LOCD+qCp6nl/KspsTKEpzIqKITHEz9P5Dql1zT2lPdakNTzVkfBPGqa/mEtuzfmX6ulS1igsdXPdgBrEJLh6cvYMdG8K562L/Rw9feuwobv3PWhxOD/v3RPD0ff055ay9nDXBGJ39aUk7Fs1rMO19g5ip/PTiI3247eH1OJyK/ZnhPHVPKmJT3PH4Osaes4ec/WE8dMuAFuFrMNttlBbS/PQFK1W1TgB+ANZhTBMBuFMp9VV958Tak9Tw8DNN98VTZk3Ha1ClS2pnTfohnS4puDBDVSu+b1t1ymv/59Oxn4x8oV5VrSOBlaOoP1K3SIRGowlygqUG1+JXMmg0mpaFTnip0WhaLQrB5Wn+AQRf0AFOo9H4TbAs1dIBTqPR+IfSTdSmIYKEmi86Q3m5+TaBd/p3Nd3mzVt/M90mwFP9j7XErlUoi0a+NYGj++A0Gk2rRgc4jUbTKlEIbj3IoNFoWit6kEGj0bRKlB5k0Gg0rRmlA5xGo2mdBM9i+6AJcDabYuYHv5KXFcJ91w+ge99ibrhnK85QDx6X8Px/erN1XePZP+qiY48K7nwh7eDr9p2reOuJ9nz6Slu/bU15PI1hpx6gMM/BNaf1A+DiKXsZd0EuB/KM4n7jsQ6sXNJ4WptfX0tk3QdxIJDUp5Jxj+7BEapY9WYCa95KwGZXdDu5hJNuz8JdDQvv7ED2hjA8biH1nEKGXZvboP2k5EpueWIH8W2qUR5h/ntt+eyN9lx0Uybjzs/mQL6RW2z2E51Y+V2c32VRgxnCKM4QD4+/sx5niAe7Q/Hj14nMeabzwff/fvkerpi2m/OHHkdRQcsSnXGGepjxyXacIQq7Q/HDl3G89UT7gO1Cc4nO6BocIhIGLAVCvdf5SCl1b1Ptjf9HJhk7I4iINNIKXTZ1J+/M6sovPyYy5MQ8Lpu6g2mXHtMk25k7wrhubF/ACKRv/7rBr6SXtVn0YSKfz27LLU/tOmz/p6+05eOXfb+pi/c7WPVmAv/8ejvOMMXnN3Zk8xexxKRUsWNxNJd8sQNHqKIsz8g8vHV+LO4qYdJXO6guF94Y15O+fz1AbMf689C5XcJ/H+rCjg2RhqDPvPWs/tH4k5j7WjIfv5LchBI4HLOEUaqrhGmX9KOizI7d4eGJ99bzy9J4Nq+JJql9JceMPEDWnqYnuzTT1z/4XincNqGH13fFk3O3s/LbaDavapoSmtX+NoZS4PYER4Czcqy3EjhFKTUQGASME5HhTTGU2K6C40blseDjQz84BUREuQGIjHaRn2POBOFBJxSzb3co2U38saz/3x8FYpqKxyW4KmyGmE2Fjai21fz2TgJDr87FEWqkuYpINMoAUVSXHTrW7lSERHkasF4j6GP8yGrEdhLbm5uY0zxhFKGizChXh0PhcKiD6bmvvmsXrz7WBQKsVVgn4lLLd6fC7lSmpBZvLtEZMEZRfdmaG8sCnDIo8b50ercmfa1XT9vOazN64Kn1e335kZ5cdssOZi/+mctv2cEbT3UP2GeA0eML+W5unCm2anP2pBxeWLCRKY+nERVbf3LLGqLbuzjuilz+O6oXL47oQ0i0m64nllKQFkLmygje/ns33r+gK/vXGv/WvccV4Yzw8OKIPrw8qjdDrsgjPM7ts39tO1TSo18ZW9YYAe+vl+xn1ldrmfLoTqJiGve3PuoSRvFHsaw2NpviuXlreHf5SlYvi2XLb9EMOyWf3KxQdm0OrDZktq+/x2ZTzFq0hffXbmD10ii2rG7Z/jaEwmii+rI1N1anLLeLyBogG1iklPJbdGboSbkU5oewfWP0Yfv/cv5e/vtoTyaNGcF/H+3JTQ9uDthfh9PD8LEHWPpFXMC2avPFW2249MT+XDfuKPKznVx5d+OJMisO2Ni+OJorlmzj6p+2UF1mY+PcWDwuobLIzoUf7WLUtCw+n9zJSJW+NhyxK67+aQtXfreVX15NpDDdt76osAg3d8/ayksPdqGsxMGXb7fjstGDuP7Mow1/72q69qqZwigej3DD2YP4x4lD6D2ghK59Spl4XSZvPd30lOq1sVLExeMRrjutDxcdm0qfQWV06RP48sHmEp1Bi84YKKXcSqlBQEdgqIj0r+OYBkVnUo8pYvjoXF5f+DO3P7GRAcMKueWRjYwZv59li4x05T8saEOfo4sD9ve4k4vZvi6CwlxzhTsKc514PMY/2tfvJtFnUGmj5+xeFkVsx2oiEt3YndDr9CL2roogun01vcYWIQLJA8sRgfJ8O5vmxdHtxBLsTqPZmnJsGVnrGheLsTs83D1rmyHosyDhD/7Of68tvQeUNGKlfqwQRiktdrB2RSwjxuTTvmMFsz7/jTeW/EpS+0qenfsb8UlNkw48EiIupUV2fvs5iuNODvx+bS7RGTACqS9bc3NE1lsopQqB74Bx/p77xtPdueTU47l07AgevSWVtSvieGJaKnnZoRx9XCEAA4cVsscEXdTR5xRY0jxNaHuo2XD86YWkbWnc15iUavatCafaK2aT/lMUCT0r6XlaMenLjeZN/q4Q3NVCeIKbmJRq0pdHohRUlwn7VoeT0KOykaso/vXILjJ2hPPpq4f6N+PbHPrRHH96Pru3Nr1szRJGiU2oJjLaaCqHhLo55vhCdmyM5ILhQ/nnycfyz5OPJXd/KDeeM5CC3Kb1n1ol4hKb4CIyxuguCAnzMPjEEjK2Bz4Q0JyiM8HSRLVyFLUNUK2UKhSRcGAM8KhZ9p+5rzdXT9uO3aGorrTx7H19ArIXGuZh8KhiZt4eWHNn2rM7GTCimJh4F2+tWMucJ1MYMKKY7qlloISszBCeuaNx3YXkQeX0GlfEW+N7YLMr2qZWMOD8AkRgwbQU3jijB3an4ozH9yACgy7OZ8HtKcw+owdKQf//K6RN34YDXL8hJYw5N5ddm8N57ot1gDEl5KS/5nr9hazMUJ65q1uTy8MsYZT4NlXc8th2bDaF2BQ/zE/if0sSmuyXlb7+noR21dwyMx2bDWw2WPp5LCsWN21K05HwtzGMUdTgWItqpejMAGA2YMeoKX6glHqgoXNiHW3UiNi/me6Lu7DQdJsAYjdntLQ2UzcHV7okT0XTVe8bwhYZeCd8XXhKG+8eaM2YIToT3jNFdXviKp+O3fS3+xsUnRGROOAVoD/G+MVlwBbgfaArkAacp5Qq8B5/B3A54AYmK6UWNHR9K0Vn1mKo2Ws0mlaGic3PmcDXSqn/E5EQIAK4E/hGKfWIiEwDpgG3i0gqMBHoB6QAi0Wkt1Kq3ukCwVHP1Gg0LQaFb/1vjQVBEYkBRmHoJ6OUqvL214/HaP3hfTzH+3w88J5SqlIptQvYDgxt6Bo6wGk0Gr9RPm5AUs00MO9Wu23bHcgBXheR1SLyiohEAu2UUvsAvI81ayY7ABm1zs/07quXoFmLqtFoWggKlO9LtXIb6INzAIOBG5VSK0RkJkZztD7qumiDgwi6BqfRaPzGpGkimUBmrQUAH2EEvCwRSQbwPmbXOr72NIeOwN6GLqADnEaj8RszJvoqpfYDGSJSM8frVGAjMA+Y5N03CfjM+3weMFFEQkWkG9AL+F9D16i3iSoiz9JA9U8pNblh9/1Hud3WTOmwakr1oL6mm3xqoAWqYkDnpQ0vvG8qaQ128TYdW3SUJXb/7NNEzKBmLapJ3Ai87R1B3QlcindamYhcDqQDEwCUUhtE5AOMIOgCrm9oBBUa7oP7xQTnNRpNa0MRcOaWg6aUWgPU1Ud3aj3HTwem+2q/3gCnlJpd+7WIRCql9N+fRqNpEetMfaHRPjgRGSEiG4FN3tcDRWSW5Z5pNJoWiqA8vm3NjS+DDE8DpwN5AEqp3zAm52k0mj8rfkyEa058mgenlMqQw5NP+Z5JUaPRtC5U69JkyBCR4wHlHemYjLe5qtFo/qS0gNqZL/gS4K7BWBDbAdgDLACut9KpxrDZFM/O30refif3TAo8VfnUJ9MZNqaYwlwHV5/iX9qlKZN/ZtiQPRQeCOOaG88C4OIL1jJu7HYOHDBS17zx1kBW/tqB6OhK7r79B3r3ymPRt92Z9dJxPl2jPkWpy29PY9jJBbiqhX3pYTw5rSelxQ1/pdW7PWTfeSjfm2uvIu4qJ7EXGOcdmFNNwTMuOi0Mwx4nVG7wkPuQ93gFcVc6iTzZvywqZik/RUZVM/meDXTpUQIIT9/fj/EX7qZjlzLj/ehqSoud3HjBiCbZN9PX2rRJqeLWmenEt3WhPPDVnETmvtomYLvQfKpadS8qaHk0GuCUUrnARU29gIjYMaac7FFKndVUO7U554ocMraFEhFtztyuhe8nMO/1JG6dmdH4wb9j0Tfd+fyLPtwy5afD9n/6WV8+npt62L6qKjtvvj2ALl0K6drFd3GQ+hSlVi+L4/UnuuBxC5fdmsb512Ty2uNdG7Tl7GKjw9tG4FVuRcaZFUSONrpiXVkeyld4sLc/dPM6ewgps0MRh+DKVey9qIKIE8MQh283uJnKT1fduplff0ri4dsG4XB4CA1z8+i0gQffv3zKFspKmr760CqVKrdLePmBFLaviyA80s1zX29l1dLogO02l6oWANZMqzQdX0ZRu4vI5yKSIyLZIvKZiPhTbboJE5u0SclVDD21iPnvJpplkvUroiguaNoPY/2GdhSX+JZBtrLSwYZNbamu8jePXN2KUqt+jMPjNgKNIZ/nX6ruipUenB1tOJKN2yD/qWoSbnQe9udsC5ODwUxVKr//uM1SfgqPdNF/cAEL5xprq10uG6UltdNzK048bT/ff910vVGrVKrys51sXxcBHFIvM0McptlUtWrmwfmyNTO+jKK+A3wAJGPkYPoQeNcX4yLSETgTI6GdKVxz/x5e+U8KqoX/g5x95lZeeOZLpkz+majIxlKHN05dilK1Gft/2az8Pt4vm6WL3ESONQJn2VI39jZCSO8/3hKV6z3sOb+CvRdWknh7iM+1NzBP+Sm5QxkHCkKYct8GnnnnZyb/ewOhYYfUvvoNLqAwP5S9GU1PlHkkVKradayiR/9yNq+KCNhWc6lqQevSZBCl1FtKKZd3m4PvXYxPA7fRQIW2tqpWNQ0HgmFjDlCY6zj4b9hS+WJ+Ly69+myuu+kv5OeHc+XlqwK2+XtFqS69Ds25nnhtJm6XsGReks/2VLWibKmbyFPteCoUha9XE3913YIlof1tdHg/jOQ3QjkwuxpPpe93rlnKTza7omffYr76qCOTLxxBRbmdCZemHXz/pNMDq72B9SpVYRFu/v1KGi/ek0JZSeDZoJtPVYugmSZSb4ATkQQRSQCWiMg0EekqIl1E5Dbgy8YMi8hZQLZS6teGjqutquWk4XWYqUNKGT62iNnLN3DHrN0MHFnMbc/sbsyVI05hYTgej81Q0VrYkz698kyzXaMoNWRUIQBj/pbN0JPzeezmXvjTfiz/yUNIXxv2RMGVqXDtVey5qJKM8RW4sxV7/1GJK/fwOzSkmw1buFC9w/c71yzlp7zsMHKzQ9myPg6AZd+0o2ffIgBsdg/Hn5LN0oWBBTgrVarsDsW/X0nj20/iWTY/zhSbzamq1RqaqL9iDA6cD1wNLMFQxroWY0FsY4wEzhaRNOA94BQRmROIs68/ksLFQ/oxaXg/Hr6uC78ti+axyY0LuBxpEuIPaV4ePzyDtN1xAdmrS1EqY2c4x55YwISr9nD/NUdRWeFfjaBk4aHmaUhPG50XhNPpszA6fRaGva2Q8lYojiSheo8H5TICmmufh+rdHhwpvt+4Zik/FeSFkpMVRocuRs114NA80ncZzdFjhuWTmRZJXnZgnevWqVQpps7IIGNbGJ+8bM7oKTSvqpYo37bmpqG1qE2XUjLOvwO4A0BERgO3KKUuDsSmVUybtZsBI0qITXAx55eNvDWjHQt8HMSYdsuPDOifRUxMJW+99glz3h3AgP5ZdO9WAAhZWZE8M2vYweNn/3cuERHVOBweRgzL4K57TyU9o+Gbsj5FqVcXr8IZ4mH6GxsAY6DhuXt6NOqzp0JRscJN0h2N/9tX/uYhe7YLHCA2SLgtBHuc7wHOTOWnlx7ty63T1+FwetifGc7T9xkyu6PGBt48NdvX2vQbWsqYCQXs3BjGrEVbAHj94WRWfhuYslZzqWqhBFrAMixf8ElVyyvYnAocLD2l1Js+X+RQgGtwmkiMJKhhtjG+mvUdq5TDhvxBxzpwm5t2mW4ToPMSq9IlBa7QXheO9tbM53Ltz7LEbrBghqpWaJdOKvmOm3w6dve1tzaoqmU1jc6NEJF7gdEYAe4r4AzgR8DnAKeU+g6jeavRaFoDLaD56Qu+jKL+H0Zupv1KqUuBgdDIaIBGo2ndBMkoqi+zW8uVUh4RcXllvrIx1HA0Gs2fERMTXlqNLwHuF6/69H8xRlZLaCQPukajad20hBFSX/BlLep13qcvisjXQIxXtV6j0fxZCfYAJyKDG3pPKRX49HyNRhOUtIYa3IwG3lPAKSb74rUcJCUHqF/Wm2/TdIsGVqlfXb9tqyV2n+9tTR+Po2ODQuhNwpW5x3SbAPZ2bRs/yE8k1ySt92Dvg1NKnXwkHdFoNEFCCxkh9QWTwrlGo/lToQOcRqNprUgLT1dWgw5wGo3Gf4KkBudLRl8RkYtF5B7v684iYlGXtUajaen4mkmkJYy0+rJUaxYwArjA+7oYeN4yjzQaTcsnSPLB+dJEHaaUGiwiqwGUUgVe+cAjTrCpE1mleNQS7a55PY6NH8QiAom9Kznl0SxWvZTAxg9iCYs3ctkNvzmPrqNLKcp08M64rsR1M5I1th9UwegHs/321wx1tQ6dS5j20OqDr9unlDPn5V70PbqQjl1KAIiMclFa4uDGi09s0jXA3O8sMqqam+7dSJceJSglPH1/Ksefks2wUTm4qm3sywznqXv7/U6zwmRaQO3MF3wJcNVeZSwFICJt8FFTx5vsshhDKNoVaNqUYFInskrxqCXaLdnvYO2b8Vw4Pw1HmOLrycls+8LQjBj4zwKOuaLgD+fEdq5m4ufpAflshrranvSog4HLZlO8+eU3/PRdez5771A6xMtv2tSi1Lquvm0Lv/6UyEO3DjyoLrY6IpE3nu2Jx23j0snbOO+yNF5/pleTfW6MltD89AVfmqjPAJ8CbUVkOkaqpIf8uMbJSqlBZuSECiZ1IqsUj1qqXeUCV4XgcYGrXIhs62r8pACwQl1t4HG57MuMJGd/eK29ihPH7OP7hSlNtmvmd1ajLrbg08PVxVYvT8TjNn7Om9fFktSuosn+NooyRlF92ZobX9aivi0iv2KkTBLgHKVUsyvbW61O1HdwWYuz2VLtRrV3MejyAmaf1B1HqIdOJ5TR+cQy9q8OZ92cOLbMjaFN/wpG3pFDWKxx1xdlOnn/7M6ERHkYNiWPlOP8S5xZo64WEeX267yGGHXaPr5fmHzYvn7HFFCYH2K6WldTv7PkDuWGutj9G+jeu4Ttm6J58bG+h6WsHzt+T8D6FI3SWmpwItIZKAM+B+YBpd59vqCAhSLyq4hcVY99n1W1aggGdSKrFI9aot2KAzZ2fRPFJd/u4p/LduIqt7Hls2j6X1jIxd/s4vx5u4ls62LZw0Z/aWQbN5O+38n589IZeWcOi6a2p6rYl8aEgRXqag6Hh2Gjsvjxm8MD3Elj9/L9gqbX3sDc78zu8BjqYh924sYLhlNRbue8yw5lgT7/8p243cKSr45AgAuCfHC+3FVfAl94H78BdgLzfbQ/Uik1GCML8PUiMur3B/ijqgXBo05kleJRS7Sb+VMEMR2rCU90Y3dC97HF7F8VTkSSG5vd0HJIPe8A2WuNPid7qCIs3qjJte1fSUznagrTfP8MVqirDTk+hx2bYynMP3QP2uwejh+9n6WLkxs4s3HM/M5ys2rUxQwdjx8Xt6NH32IATv3rXoaOyuXxu47Gb4VuP2k100SUUkcrpQZ4H3sBQzH64RpFKbXX+5iN0Y8X4Py54FEnskrxqCXajUp2sX9NGNXlglKQ+XME8T2qKM0+VLveuSiKhN5GDb08z47H27I8kO7kwO4QYjr53pdqhbraqLF7/9A8Pea4PDJ3R5GXHV7PWb5h5ndWkBdKzv5D6mKDhuaTvjOSY4/PZcI/07j/X4P8Vlhrzfg9NKSUWiUixzV2nIhEAjalVLH3+VjggSb4eJBgUieySvGoJdptP6iCHuNK+OCcLtjsiqTUSvqdf4Bv72pH7qZQRCC6QzWjHzQEX/auDGfFzERsDhCb4qT7swiLa74e6dBQN8cMy+W5hw8XEaor6DUFs7+zFx/ty20PrcPhUOzfY0wJeXrOCkNh7QVDhnjLuliem54asO/10gJqZ77QqKqWiEyt9dIGDAYSlVKnN3Jed4xaGxiB9B2l1PSGzomRBDVMTm3UaU3Lwbp0SX0ssevoEFh/Wl0EU7qkn3M/5EB1dkDt17CUTqrrVVMbPxDYcv/Ulq2qBUTXeu7C6Iv7uLGTlFI7MQRqNBpNa8PEGpx3nu0vwB6l1FkikgC8D3QF0oDzlFIF3mPvAC7HmFs7WSm1oCHbDQY474WjlFK3BvohNBpN60AwfQDhJmATUNPXNA34Rin1iIhM876+XURSgYlAPyAFWCwivZVS9c4VqneQQUQc3hPrTV2u0Wj+pJg0TUREOgJnAq/U2j0emO19Phs4p9b+95RSlUqpXcB2Ghm4bKgG9z+M4LZGROYBHwKlNW8qpT5p3H2NRtPq8G8KSJKI/FLr9ctKqZdrvX4auI3Du8LaKaX2ASil9olITWdkB2B5reMyvfvqxZc+uAQgD0ODQWHUUBWgA5xG82fF90Hv3PoGGUTkLCBbKfWriIz2wVZdgyMNhtqGAlxb7wjqeg4FNp+MajSa1o1JfXAjgbNF5C9AGBAjInOALBFJ9tbekjHE5sGosXWqdX5HYG9DF2gowNmBKJoQNZuKio7ANexY0+06vvnVdJsAckw/841u3G6+TcDeJskSu89blLBi66vm3wcAvS//pfGD/MVmzcRad5b/KaQaQymTkiCYEAGUUncAdwB4a3C3KKUuFpHHgUnAI97Hz7ynzAPeEZEnMQYZetGICH1DAW6fUiqgibkajaYVYv0600eAD0TkciAdmACglNogIh8AGzGmrF3f0AgqNBzgmj8dp0ajaZGYvc5UKfUd8J33eR5G9qK6jpsONLhgoDYNBTi9pECj0dRNkPTCNyT8nH8kHdFoNMFDS0hm6QtaNlCj0fhHC8n15gs6wGk0Gr8QgqeDvkUGuFuu+IHhx2RQWBTGFXecC0D3znlM+edPhIW5yMqN4qFZJ1FWEYLd7uGWy3+kZ9c87DYPi5b15N3P/VvjH4ha15SbljNs6B4KC8O45vozD3vv7+du4srLV3PeBedSVBRG79653HSjMaotwJx3juannzvVYfVwkpIruXXGTuLbVKM8wlfvtuGzN9pzxR3pDDu1EFe1sHd3GE/e2o3SYt+/0voUpdb+msj109YTHu4ia18Ej98zkPLSpifVDERRqttta/GE2VE2wCak33MoBVD81/tp82Em258eiCfaiSO3kq53r6eqvZGKqKJ7FNmX+Jcnziz1q6lP7D6YefjqMYbPJ55ZwD+m7qNTrwomn9WHbWubngbdbH/9RtfgQETiMNaY9ccoksuUUj83dt6CH3rx2aKjuP2apQf33Xz5Ml569zjWbk5m3KitnHfmOt74+FhOGroLp9PNlXf+jdAQF6898gnf/tydrNzoBq5wOIGodS1a3J3Pv+jNLVMP/1hJSaUMHrSPrOxDabV3747jxpvG4fHYSIgvZ9ZzX7F8RQc8nobzjnpcwn+nd2b7hkjCI908+/l6Vv8Yy6ofY3ntsU543MJlt2dw/nX7eO3RxgNmDfUpSt35yCpendmX9asTOe2vGfz94l3Meam3z3ZrY4aiVMatvfFEHx5gHflVRGwsojrhcAXL6jahpN/XtPmJZqpfLfwwgXlvtOHWp9MO7kvbEsYDV3Zn8qOBqYlZ4a+/tIRsvb7geyL8pjET+Fop1RcjdZJPYjXrtrSnqPTw9OWdkg+wdrORZ/7X9SmMOs5IUa0UhIW6sNk8hIa4cLlslJX7J9saiFrX+g1tKS7+4/WuvnIVr7x+zGHit5WVjoPBzBniRvkojJufE8L2DZG1/AsnsX0Vq36IxeM2bGxeHUlS+6qGzDRIbUWpjp1LWb86AYDVK5IYefL+Jtu1SgWszXsZ5EzoaGpbyUxf16+Iprjw8AnAGdvDydxpXvCxqmx9Ikg0GSyrwYlIDDAK+CeAUqoKaPIvMC0znuMHp/PTqi6cNDSNNgmGKO/Sld0YeWw6Hz77HqGhLl54eyjFpY1rO9SHGWpdw4dlkpcXzq5d8X94r0+fXKbetIK2bUt5fMaIRmtvf/CvQyU9UsvYsibqsP1jz8tl6RcJTfa5tqLU7p1RDB+VzfKl7ThhzD6S2vmneFWbgBWlBDo+uQ0EDpzUhgMntSFyTSGuOCdVnf74HTlzq+h83wY84Xby/taB8t6+1+StUiyzimbzVwXPKKqVNbjuQA7wuoisFpFXvKnLD+MwVa3q0j9a8fL4f09g/JhNvPDAZ4SHV+NyGf+Ofbvn4PYI502eyMVTJzDhjPUktylqksNmqHWFhrqYeP4G3pwzoM73t2xJ4urrzmTylNM5f8IGnE7fZe/CItzc/cI2Xnqw82H+Tbx+L26X8O3cpmmE/l5R6ukHB3Dm/+1m5uwfCY9w43I1/TYJVFEqfVpf0u9NZc+/ehH3bTbhW4pJ+GIfeef8MTOvO9bJzscHkH5fP3LO70T7l3diK/e9fK1SLLOKZvX3z16D89oeDNyolFohIjMxEtf9u/ZB3tQpLwNEx3Sst0gy9sVx+2PjAOjY/gDDB2YAcOrxO1i5tiNut43ConDWb21H72657MvxT6fBLLWu5PYltG9XwgvPGcJjSUllPDfza26aejoFBYfESzIyYqmodNC1SyHbtjcemOwOD/9+YRtLPktk2YJDNbUx5+Yw7JQCpl3Ul6a2136vKJW5O4p/TzbSbKV0LuG4kU1fExmoopQ73qihuGOclAyOI3xrMc7cSrrctxEAR0EVXR7YRPrdR+GOdaKcRjCu7BpJddtQnFkVVHb1rTPfKsUyq2hOf3UfnLHyP1MptcL7+iMCSJ4ZF2M0k0QUF41fw+ff9gUgOzeKY1L3AYqw0GpSe+aQsS/OT+vmqXWl7Y5j4kV/Z9Jl45l02XhycyO44aZxFBSE065dCTabVy6vTSkdOxSTle3Lj08x5dFdpG8P55NXD4mgHDuqkAnX7OO+K3sHpKT0e3GV2HhD/UpEMfGyHcz/xFcZ3D8SiKKUVLoRbw1MKt1EbCiiomskO58exK7HBrDrsQG44kPYfY8R3OzF1eAxfnnOnEpCsiqpTvK9u8IqxTKraFZ//+w1OKXUfhHJEJE+SqktGEu/Nvpy7l3XLWHgUfuJjargvZnvMfuTwYSHVjN+jDFG8cMvXfh6qZHGYu7io7jtqh949eFPEYGvl/ZiZ4Z/fVGBqHVNu20ZA47OIiamkrdmf8qctwewYGGPOo/tn5rDeRM24nILyiM8N2sIRUWNdzr3G1LCmHPz2LU5nOe/XA/AG4935Np7d+MMUTz0luHz5tWRPHt3N18/NlC3otRJY/dy1gRjEOenJe1Z9HlHv2zWJhBFKUeRi5TnvNlVPIriYQmUHV3/Dzh8SwmJn+0Bm6BsQtY/uuCJ8v0WN1P9atpzuxgwopjYBBdzVq7jrRnJFBc6uO7BDGITXDw4ewc7NoRz18VNT8dilcKaLwRLDa5RVa2AjIsMwpgmEoIhGH1pjXhEXUTHdFRDht1guh86XZJ16ZKsUpTa+qo1QkzBlC7poHisiaxQ31Ck8gMae45o00n1Pdc3Va3VL7d8Va0mo5RaAzTbh9NoNOZjgeiMZbTIlQwajaaFowOcRqNprUhLnj9TCx3gNBqNf7SQEVJf0AFOo9H4je6D02g0rZZgWarVogKcFJdZNqXDCtTqDc3tgs9YNZ2jzvVCJmDJdA5gwd41pts8PWWQ6TYBbGHmz2mTCpO+L12D02g0rRL/lO2bFR3gNBqN/+gAp9FoWiN6oq9Go2nViCc4IpwOcBqNxj/0PDjrsEpkwwq7weSrlXZtNsWz87eSt9/JPZO6m2IzUF8/fSWJ+W8nohSccVE+516Zw/Sru5C5wxi5LC2yExnj5oXFWyjKt/PgVV3ZuiaC087L54aH/B+RNqtsk5IrueWJHQcFiOa/15bP3mjPRTdlMu78bA7kG/ngZj/RiZXfxTXpGr7wp58mIiJ9gPdr7eoO3KOUerqpNq0S2bDCbjD5aqVdgHOuyCFjWygR0eb8KgL1NW1zGPPfTuSZL7fiDFHceWEPhp16gLte2n3wmJfuTyEy2sjmERKmmHTrftK2hJG22f/yMLNs3S7hvw91YYdXgOiZeetZ/aOR1mvua8l8/EpyIxZMIkhqcJYlvFRKbVFKDVJKDQKOBcqATwOxaZXIhhV2g8lXK+0mJVcx9NQi5r/btHTqdRGor+nbQjlqcBlhEQq7AwaMKDksi7NSsHReHCefY2T2Covw0H9YKSGhTftVm1m2BTkh7DhMgCiMxPa+CSSZiSjftubGalWtGk4Fdiildjd6ZAPUJbLhq/rVkbYbTL5aafea+/fwyn9SUCY2aQL1tWvfCtatiKQo305FmbDy2xhy9h5K9b1+RSTxbVx06N50lTIz/a2Pth0q6dGvjC1rjID310v2M+urtUx5dCdRMa6A7deLwvgX8GVrZo5UgJsIvFvXG4eJzlDZoBGrRDassBtMvlplt0b4uEaS0SwC9bVzr0rOuy6bOyb24K6LetAttRy745CBJXPjGX1OvXlZ/caKsg2LcHP3rK289GAXykocfPl2Oy4bPYjrzzya/GwnV95ljvZqfYjHt625sTzAiUgIcDbwYV3vK6VeVkoNUUoNcdJw/nyrRDassBtMvlplN3VIKcPHFjF7+QbumLWbgSOLue2ZgCrxgDm+jrswn+cXbmXGp9uJjnPToZvx5+p2wbKvYjnp7MKA/TTT39rYHR7unrWNJfOS+MkrQFSY68TjEZQyBh56DygJ2O/6qJkHp5uoBmcAq5RSWYEaskpkwwq7weSrVXZffySFi4f0Y9Lwfjx8XRd+WxbNY5O7tAhfC3ON8bXsTCfLvopl9DmFAKz6IZpOPStpk2Jev5a5Zav41yO7yNgRzqe1BIji2xwKoMefns/ureF1nWwOvjZPW0AT9UhME7mAepqn/mKVyIYVdoPJVyvtWoEZvj5wRVeKCxzYnYobHsokOs4YMf3+s7qbp5cMTaW0xIarSvh5QSwPvbuDLr0b7lIx098aDAGiXHZtDue5L9YBxpSQk/6aS/fUMlCQlRnKM3f5Jz7kLy2hduYLVovORAAZQHelVKPDRjGSoIbJqZb5o7EAi7KJWPXv/2fPJrK84isOePIC+tKi4zqqY0bd5NOxP3x+W6sWnSkDzJsfoNFoWgTBUoMLupUMGo2mmVGAOzgi3JGaJqLRaFoRZoyiikgnEVkiIptEZIOI3OTdnyAii0Rkm/cxvtY5d4jIdhHZIiKnN+anDnAajcZ/zBlFdQE3K6WOAoYD14tIKjAN+EYp1Qv4xvsa73sTgX7AOGCWiDSouq0DnEaj8RszanBKqX1KqVXe58XAJqADMB6Y7T1sNnCO9/l44D2lVKVSahewHRja0DV0gNNoNP6h/NggqWalkne7qi6TItIVOAZYAbRTSu0DIwgCbb2HdcCYlVFDpndfvehBhgAQh/nFp1wWrSEMsukc4gxp/KAmcHqHY0y3+XHmz6bbBPh7x+Gm2zRjWpgA4vsgQ25j00REJAr4GPiXUqpI6r9X63qjQUd0DU6j0fiNKOXT1qgdESdGcHtbKfWJd3eWiCR7308Gsr37M4FOtU7vCOxtyL4OcBqNxj/8a6LWixhVtVeBTUqpJ2u9NQ+Y5H0+Cfis1v6JIhIqIt2AXsD/GrqGbqJqNBo/MW2d6UjgH8A6EVnj3Xcn8AjwgYhcDqQDEwCUUhtE5ANgI8YI7PVKKXdDF9ABTqPR+I0ZKxmUUj9Sd78aGDkk6zpnOjDd12voAKfRaPynBWQK8QUd4DQajX8ov0ZRm5WgCnDOUA8zPtmOM0Rhdyh++DKOt55ob4pts1SPpjyexrBTD1CY5+Ca0/oBcMnNexgx9gAeDxTmOZhxc1fys5o2DcLKMpi9fAPlJXY8HkPc5Ma/9DHFrnllu4thpxRSmOfkmrH9AeieWsaN09MICfXgdgvP3d2Frb9FNcl+xx4V3PlC2sHX7TtX8dYT7fn0lbb1n1SLL15pz+J326IUnHZhNmddsZ/3Z3Rk8TttiUk08stdeHsGx55aSHGBg8ev6sWO36IYPSGHK6enNWy8HqxSQmuU4Ihv1gY4EZkCXIFRHOuAS5VSFU21V10p3DahBxVlduwOxZNzt7Py22g2r4oMyE8zVY8WfZjI57PbcstTuw7u++il9rw5w5iPOP7SbC66aR/P3tm0xI9WlUENt03oSVGBebeFuWWbZJTtk4fK9vI7Mnh7Zgq/fBfHcScXcsUdmdw2sW+TfM3cEcZ1Y/se9PvtXzccJkbTEOmbw1n8blse/WI9DqeHBy8+isGnFAJw1pX7GH/NvsOOd4Z6uODWTNK3hJO+uWkp3a1UQmsMX6aAtAQsmyYiIh2AycAQpVR/wI6xjiwQq1SUGUvPHE6F3alM6QowU/Vo/f+iKS48fHlcWcmh12ER7gB9tqYMrML8sv1d8FUQEWUMpEVGu8nLDjx9O8CgE4rZtzuU7D2+1bQzt4fT+5gSQsM92B3Qb3gR//s6vt7jwyI8HDW0GGcTlbrAOiU0n9AZfQ/aDxeRaiCCRibl+YLNpnhuwVZSulbx+RuJbFkdeM2lLtWjvoPLArZbm0m37mHM3/MoLbZz+/m9A7JlRRkAoISH3t0BCr6ck8j8t5MCNml12b74QGemv7mVK+/KQGww9dyjTLE7enwh382N8/n4zn3KeOfRThQXOAgJ87Dq2zh6DCglOt7F/Dfa891HSfQcWMqkf+8mKq7BmQ0+cyTu2zpRQAsQlPEFK3VR9wBPYMxj2QccUEot/P1x/qhqAXg8wnWn9eGiY1PpM6iMLn3KA/bVKqWq2sx+vAP/GD6AJXMT+Os/cwKyZUUZAEw5pxc3jOvDXRd35+x/5tJ/WODCJVaX7VkXZ/PSg534x4hBvPRAZ6Y8lhawTYfTw/CxB1j6RZzP53TsVcE51+3l/guO4sGL+9I1tQy7Q3H6JVk8v2w1MxauI65tNbMfDFyTooYjcd/WeV18W8XQEpqxVjZR4zFW/3cDUoBIEbn498f5o6pVm9IiO7/9HMVxJxcH7KtVSlV1sWRuAiec8cec/03BzDIAyM8yPvOBPCfL5sfSd1DgtQGry3bM3/NYNt9oCv7wZTy9BwYelI87uZjt6yIozPXPzzEX5PDE1+v4z8cbiYpzkdytgrg21djtYLMZAw/b1jRtAKQujuR9+wc8Ht+2ZsbKpVpjgF1KqRylVDXwCXB8IAZjE1xExhjV+5AwD4NPLCFje+AdqlYpVdWQ0vXQuMrw0w6QsaPpPltVBqHhbsIj3QefH3tSMWlbWn7Z5mU7GTDcCPCDRhazNy1wn0efU+BX87SGA16lrpw9ISyfn8AJ43MpyDoUcFZ8HU/nPuY1Ia0u23qpaaL6sjUzVvbBpQPDvcIz5Rgzk38JxGBCu2pumZmOzWb8Iy79PJYVi2MCdtRM1aNpz+5kwIhiYuJdvLViLXOeTOG4kw/QsUcFyiNk7Qnh2Ts6N9lXq8ogvo2Le181RiftdlgyN45fvmthZfvMjkNlu3wNc57qwMzbu3LNfenY7YqqShszp3UNyN/QMA+DRxUz8/ZOjR/8Ox6/qreh1OVQXDl9F1FxbmZO7krahkgQRdtOlVzzyKER4GuGH0N5sR1XtfC/BfHc885mOvX2vbuhOZXQWkLz0xesVtW6HzgfY93YauAKpVS9HW3Bpqql0yURdOmSlMs8vdMaPs4InnRJK9Q3FKn8gG6G2IgUNaLX5T4du2Dtf1q1qta9wL1WXkOj0RxpWsYUEF8IqpUMGo2mBRBEqlo6wGk0Gr8Jlj44HeA0Go3/6ACn0WhaJQrw6ACn0WhaJXqQ4U+BZVM6rCBIbsgaVHVV4wc1AXuc+RNhrZjOATBvz0rTbY4cV2qOoSC5n3SA02g0/qEAdwtYpuADOsBpNBo/UaB0gNNoNK0V3UTVaDStEj2KqtFoWjW6BqfRaFotOsBZg1UqQlbYDSZfrbI79cl0ho0ppjDXwdWnmKPSZYVdm00x88NV5GWFct91/bnslp0MG52Hq9rGvowwnrqrD6XFTf+5BFK2815px8J3klBKGHthDuOvzOKdGSksfKcNsQnGVKV/TMtkyKmGHsOujeHMur0rZSV2bDbFjC83EhJmYkBSCtzmpF23GisTXiIiN4nIehHZICL/CtRejYrQ3Rd148rRfTh5fCGdezVZpMtSu8Hkq5V2F76fwF0XdQvYjtV2x/9jDxk7Dqlbrf4pjmvHD+H6vx3LnrRwzrsyvcm2Aynb3ZvDWfhOEjO+3MQzi9bzy+JY9u40Ml+PvzKLmYs2MHPRhoPBze2CJyd357pH0nh+yXqmf7gZu9OC2laQiM5YmbK8P3AlMBQYCJwlIr0CsWmVipAVdoPJVyvtrl8RRbGJMoRW2E1sV8lxJ+Wz4OND+rKrf0rA4zbSpm3+LYak9o3rhdRHIGWbsS2MPoNLa6l1FfNzA2pdq7+PpetR5XTrZyTOjElwY7fXe3jT+bMHOOAoYLlSqkwp5QK+B/4WiMG6VISSkgNPYGiF3WDy1Uq7wcDV03bw2hPd8HjqzgM59tz9/PJDQpPtB1K2XfqWs2F5NEX5dirLbfz6bRy5Xltfvt6WG8f0Y+bUrpR4pSr37AxDUNx7YW/+dXoqH88yRxT8cJQxiurL1sxYGeDWA6NEJNGbtvwvwB/yQPujqmWVipAVdoPJVyvttnSGnpRHYb6T7Ruj63z//KvTcbuFJZ/7pm5fF4GUbadeFZx7/T7uuaAP917Um26pZdjtijMuyealn9Yyc+EGEtpW8+oDxk/L4xY2rozm5ud28ujczSyfH89vP9T92ZqMAqU8Pm3NjWWDDEqpTSLyKLAIKAF+w0hd/vvjXgZeBiNleUM2rVIRssJuMPlqpd2WTurgIoafnMdxo/JxhnqIiHRzy6ObeeL2vpw6fj9DT8rjzssGAE3P8h1o2Y69IJexF+QC8ObDHUhKriK+zaGf0tiLcnhwktH7k5hcRf/hxcR4Bx+OPaWQHesjGXiiOcprBwmSpVqWDjIopV5VSg1WSo0C8oFtgdizSkXICrvB5KuVdls6bzzVjUtOGc6lpw3j0ZuPYu2KOJ64vS/HnpDPhCsyuf/6flRWBNaJFWjZFtZS6/p5fjyjzsk/KPEIsHx+/EFt3MEnHSBtUziV5TbcLtiwPJpOvczRzT2IUkEjG2jpNBERaauUyhaRzsC5wIhA7FmlImSF3WDy1Uq702btZsCIEmITXMz5ZSNvzWjHgncTW6zdGq69eztOp4fpr64DYMtvMTx3f9PGyAIt20eu7HlQreua6buJinPz5I2d2bUxAgTadazkukd3AxAV52b8VVlM/UsqIopjTznAcWMCHyz6A0HSf2G1qtYPQCJQDUxVSn3T0PHBpqqlCT6sSJfkLrQggGBVuqR9rPqtMjBVLXuSGh5+pk/HLix9s1Wrap1opX2NRtMctIwpIL4QdCsZNBpNM6MX22s0mtaKApReqqXRaFolypvw0petEURknIhsEZHtIjLNbFd1DU6j0fiNMqGJKiJ24HngNCATWCki85RSGwM27kXX4DQajf+YU4MbCmxXSu1USlUB7wHjzXTT0mki/iIiOcBuHw5NAnItcEHbDS5fg81uS/C1i1KqTSAXE5Gvvdf0hTCgduqUl72rlxCR/wPGKaWu8L7+BzBMKXVDIP7VpkU1UX0teBH5xYq5NdpucPkabHaDydeGUEqNM8lUXfPxTK1x6SaqRqNpLjI5PAFHR2CvmRfQAU6j0TQXK4FeItJNREKAicA8My/QopqofvCytmuZ3WDyNdjsBpOvlqOUconIDcACwA68ppTaYOY1WtQgg0aj0ZiJbqJqNJpWiw5wGo2m1RJ0Ac6KpR0i8pqIZIvIejPseW12EpElIrLJqyp2k0l2w0TkfyLym9fu/WbYrWXfLiKrReQLE22micg6EVkjIr+YZDNORD4Skc3eMg4o16DXZh+vjzVbkRlqcF7bU7zf13oReVdEAk+2h/nKda0OpVTQbBgdkTuA7kAIRhr0VBPsjgIGA+tN9DUZGOx9Hg1sNclXAaK8z53ACmC4iX5PBd4BvjDRZhqQZPK9MBu4wvs8BIiz4F7bjzExNlBbHYBdQLj39QfAP02w2x9D+yQCY8BwMdDLzHII9i3YanCWLO1QSi3FSKluGkqpfUqpVd7nxcAmjBs9ULtKKVXifen0bqaMFIlIR+BM4BUz7FmFiMRg/Cm9CqCUqlJKFZp8mVOBHUopX1bW+IIDCBcRB0ZAMmO+l+nKda2NYAtwHYCMWq8zMSFoWI2IdAWOwahtmWHPLiJrgGxgkVLKFLvA08BtgNnJ9BWwUER+FZGrTLDXHcgBXvc2p18RkUgT7NZmIvCuGYaUUnuAJ4B0YB9wQCm10ATTPinX/ZkJtgBn+dIOsxGRKOBj4F9KqSIzbCql3EqpQRgzv4d6RbYDQkTOArKVUr8GaqsORiqlBgNnANeLyKgA7TkwuhReUEodA5QCpqXa8U46PRv40CR78RgtjW5AChApIhcHalcptQmoUa77mnqU6/7MBFuAs3xph5mIiBMjuL2tlPrEbPveZtl3gBlrA0cCZ4tIGkbT/xQRmWOCXZRSe72P2cCnGF0NgZAJZNaquX6EEfDM4gxglVIqyyR7Y4BdSqkcpVQ18AlwvBmGlcnKda2NYAtwli/tMAsREYw+ok1KqSdNtNtGROK8z8MxfjybA7WrlLpDKdVRKdUVo1y/VUoFXMsQkUgRia55DozFaFoF4ut+IENE+nh3nQqYlkMMuACTmqde0oHhIhLhvS9OxeiTDRgRaet9rFGuM9PvoCeolmopi5Z2iMi7wGggSUQygXuVUq8GaHYk8A9gnbe/DOBOpdRXAdpNBmZ7kwXagA+UUqZN6bCAdsCnxu8aB/COUuprE+zeCLzt/aPbCVxqgk28fVmnAVebYQ9AKbVCRD4CVmE0IVdj3vKqj0WkRrnueqVUgUl2WwV6qZZGo2m1BFsTVaPRaHxGBziNRtNq0QFOo9G0WnSA02g0rRYd4DQaTatFB7ggQkTc3iwX60XkQ++UhqbaesOraoR3qVNqA8eOFhG/J6Z6s4j8QX2pvv2/O6akoffrOP4+EbnFXx81rRsd4IKLcqXUIKVUf6AKuKb2m965cX6jlLpCNSy2OxqTZt5rNEcSHeCClx+Ant7a1RIReQdjUrFdRB4XkZUislZErgZjZYWIPCciG0XkS6BtjSER+U5EhnifjxORVd58c994EwVcA0zx1h5P9K6m+Nh7jZUiMtJ7bqKILPQugH+JutcOH4aIzPUuwt/w+4X4IjLD68s3ItLGu6+HiHztPecHEelrSmlqWiVBtZJBY+BNuXMGxgJrMNZ29ldK7fIGiQNKqeNEJBRYJiILMbKZ9AGOxlhdsBF47Xd22wD/BUZ5bSUopfJF5EWgRCn1hPe4d4CnlFI/epcILcBI3XMv8KNS6gERORPwJXPIZd5rhAMrReRjpVQeEImxHvRmEbnHa/sGjBUA1yiltonIMGAWcEoTilHzJ0AHuOAivNayrx8w1roeD/xPKbXLu38sMKCmfw2IBXph5E97VynlBvaKyLd12B8OLK2xpZSqL0feGCDVu/wKIMa73nQUxnpIlFJfiogvy4Ymi0hNDrNOXl/zMFI2ve/dPwf4xJuZ5Xjgw1rXDvXhGpo/KTrABRfl3jRJB/H+0Etr7wJuVEot+N1xf6Hx1FLiwzFgdG2MUEqV1+GLz2v/RGQ0RrAcoZQqE5HvgPpSeSvvdQt/XwYaTX3oPrjWxwLgWm+qJkSktzeLx1JgorePLhk4uY5zfwZOEpFu3nMTvPuLMdKu17AQo7mI97hB3qdLgYu8+84A4hvxNRYo8Aa3vhg1yBpsQE0t9EKMpm8RsEtEJnivISIysJFraP7E6ADX+ngFo39tlRgiOi9h1NQ/xcgVtg54ASO99WEopXIw+s0+EZHfONRE/Bz4W80gAzAZGOIdxNjIodHc+zEyzK7CaCqnN+Lr14BDRNYCDwLLa71XCvQTkV8x+tge8O6/CLjc698GTEhZr2m96GwiGo2m1aJrcBqNptWiA5xGo2m16ACn0WhaLTrAaTSaVosOcBqNptWiA5xGo2m16ACn0WhaLf8Psx29T6P5QVMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_4_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k4_E,\n",
    "                             display_labels=neigh_E_4.classes_)\n",
    "disp_4_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "597e166c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_5_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k5_E,\n",
    "                             display_labels=neigh_E_5.classes_)\n",
    "disp_5_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "629d8df4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MmLIbmw1sNlj8ZRzLvw+8D9IqlSqrlLoaVlUr8B9VEWkNjAd6KqXKReQjDPW9nsBCpdQzIjIRmAjcLyI9PZ/3AloB34tIV6WUq9ZrWKWqJSLvA6cBycB+4FGl1Ft1nRMriWqw/SzTfZmfqdMlKVet90CAhhtxJ5XmT5ihqtW2d6y65+MhXh17T8/valXV8gS4ZUBfoBj4AngZeAU4TSm1T0RSgEVKqW4i8gCAUmqS5/z5wL+VUr/Wdn3LanBKqcutsq3RaBoSn1Trk0VkRY33byil3gBQSu0RkeeB3UA5sEAptUBEWiil9nmO2SciB6cwHAyIB8n07KuVoGuiajSahsWQDfS6pZFbRw0uAbgQ6AgUAh+LyFV12DpaVK2zCaEDnEaj8QmlBLc5c9xGAjuVUjkAIvIZMAzYLyIpNZqo2Z7jM4G2Nc5vA+yt6wJBN4qq0WgaHpMm+u4GhohIpIgIMALYDMwFrvUccy0wx/N6LjBGRMJEpCPQBfitrgvoGpxGo/EJIx9c4GtRlVLLReQTYBXgBFYDbwDRwEcicgNGELzUc/xGz0jrJs/xt9c1ggo6wGk0Gp8xL6OvUupR4NE/7K7EqM0d7fingKe8td+oApyIYAs1fyb22a36mW4T4Mot5maHAJjd05q5bI4Wfq6lrQdn1n5L7DpaWpP2xyp//0ootLK9RqNpogTTWlQd4DQajc80hlRI3qADnEaj8QkjXZJuomo0miaK7oPTaDRNEiObiG6iajSaJoixVEsHOFNITqlkwvNpJDSrRrmFeR80Z87/Diso/X3sPsY+uJvLThhAcYF/U0yatari3im7SWjuRLnhm1lJfPFWM6/P3/y/aNI+iQKB+C7VDJ2Uz4b/xpK5MByxQViim6GT8olsYeQC3/B6DGmfRiE2xcCHCml1St155u55ftehjLs3j+wJwCnnFXD1Pfto26WC8aO7sW2dfym7o6KrGf/IRtp3LgWElx7rRVWFjdsf2kxoqBuXS5g2qQdbN/qfZ8ws5aej+TpgaC5n/20PxQVG6u4ZU49jxRLvvzurfA12u3Wja3CISFvgXaAl4MbIIjDFVzsup/Dm0+1J2xhFRJSLl+duYPUvsezeHklySiX9Ty5i/57Q+g3Vc403Hm/F9vWRRES5mPrtVlYtjvFKnahsv43UmdGM/joLRzj8fFci6V9H0vOGEvreaeSP2/JuNOunxTL4sUKKtjvY9U0Eo7/KojzbzsLrmnH+t1nY6hh1X/BxInP/14x7X0o/tC89NZzHb+zE+Gd3B/S/33TvFlYuTWbSff1wONyEhbuY+Ow63nu9EyuXNmPgSTlcd+dWHrjpRL/sm6n8dDRfBwzNZc7s9nw2s4Nf/lnlazDb9QYzVjIcC6wMw07gn0qpHsAQ4HZPwjqfKMgJJW2jUTspP2AnY3s4SR4FqZsf3sVbz7StJ59A/eRnh7B9feQR1/BFvEO5wFUhuJ3gLBcim7sIiT7slLNcDuXPz1gYQftzy7GHQnQbFzHtnOStqztAb1j+Z1WtjO0RZO4I7EaOiHLSe0ABC74wMs44nTYOlIaggMhoYwVMVLST/Bzv08L/EbOUn2rz1UysUqkKNrv1cXAU1ZutobEyH9w+4GBOpxIR2YyRu2mTvzabt66kc68yUtdEMXhEAblZoezcEriaUk1atKmic+9ytqyqWwDnIJEt3PS4vpQvzkjBHqZIOamSlJONJueaF2PZOSeSkBjFyBmGyHT5fjvJ/Q7n0Y9s6aJ8f8NMmkxpXUZRQSh3/3sjHbuWsH1zLK8/1403n+/G41NXccNdqYgNJlw3yO9rHE35qfsA33UpavMVYPRluzlj9F62bYrlrRe6UVriX+Azy9dgt+sNwdJEPSZeikgHoD+w/Cif3SQiK0RkRRW190WFR7p4eNpWXn+iPS6nMOb2Pcx8KXCh4z9e41/T0/nvI60oK/Uu6FQWCZkLw7nw+ywuXrwPZ7mwc64RHPvdXczfFmXRYXQZW2cZug9HrWw20A+dza44rnsJ33zShvFXDKWi3M6l16Vz7iWZvDm5G/8491TenNyNux7Z6Pc1zFJ+qs3Xbz5uy9gLTmHcmKEU5IZxwz2pDe5rsNutDzM1GazG8gAnItHAp8BdSqk/iRrUVNUKrUVVy+5w8/C0bfw4N5ml8xNJaV9JyzaVTPt6Pf9bvJrkllW88uUGEpKrjnq+N9gdin9NT+eHzxJYMi/e6/Oyfg0nuo2L8EQ3thBoe2Y5OauPbHJ2GF3G7u8MRa7IFi4O7DscPMuy7EQ0tyideD3kZYeTmx1G6oZ4AJYsbMFx3YsZMXovS38w1q7+8l0Luvbyv9ljlvJTbb4W5ofhdgtKCd9+1qZR+BrsdutDAU5l82praCz1QERCMILbbKXUZ/5ZUdz1zE4y0iL4/K0UANJTI7l80An8Y3h//jG8P7lZoYw7vzcFuf4ONijumZxBxrZwPnvDtxG4qBQXuWtDcZYLSkHWr2HEdaqmOP1w63/PD+HEdjT69NqcUc6ubyJwVUFppp2SXQ6S+vgfmAOhIC+MnP3htG5/AIC+g/LYvTOK/Nwwjj+hwLMvn70Z3jXXj4ZZyk+1+ZqQfLjWP+yMbHalxTS4r8Fu1xvcyubV1tBYOYoqwFvAZqXUC/7a6TWwlJEX57JzSwRTv1oPwIzn2/L7onhzHAV6DTrAyEsL2LEpnGnfGU2cdyal8PsP9Ss1Jfetot1Z5cy7uDnigIQeVRx32QGW/DOR4vQQRBRRrVwMeswIGPFdnLQ/p5yvzmuJ2BUDHymscwQVYOLUnfQZWmKoMv2+npmTUygpdHDbExnEJTp5YkYaaRsjeOiqLj7/768/2517n1qPI8RNVmYEL/27N8sWNefme7dgsyuqK2288mQvn+0exEzlp6P5evN9W+jUtQQFZO+N4JWnfB7HssTXYLZbL42k+ekNVqpqnQz8DKzHmCYC8KBS6pvazomzJakh4eea7ou7osJ0mwBXbsk03aZl6ZKaJ1tiV6dLCi7MUNVK6N5cnfH2JV4d+9lJr9WqqnUssHIU9RcarPtco9FYSbDU4Br9SgaNRtO40AkvNRpNk0UhON0NP4DgDTrAaTQanwmWpVo6wGk0Gt9QuonqH3YbEuX/nKtaqaw7W4e/vNe3s+k2x29da7pNgKl9Blhi1yrcJaUN7YKmFnQfnEajadLoAKfRaJokCsGlBxk0Gk1TRQ8yaDSaJonSgwwajaYpo3SA02g0TZPgWWwfFAHunW9/pbzMjssluF3CnWMGcvJZ2Vx5607adirj7stPYNum+jN/1EabzhU8+Fr6ofct21Ux8/mWfD69uc+27n52B4PPKKQwL4RbRh0PQMceZYx/cifhkW727wnjP3d19iqh5uq3E9j4UTwIJHerZOSz+1jx3yQ2fhRHRKKRQ27YP3PocNoBtsyJZdX0xEPn5m4J4/I56TTrWfsUmZBQN8+9v4GQUIXdofjl2yRmTWlLdFw1D0zZRos2lezPDGPS+K6UFvt/q5ghjBIS6ua59zYQEuo+7OvL7Q59/vcb9jB24i4uG3Si3+JDZvn6RwIVNaqLhhGd0TU4RCQcWAyEea7ziVLqUX/tTby+H8WFh/O97doWxZN3H8+4R/zP4HqQzLRwbjurO2AIecxeudGnpJc1+e7TZL58twUTJu84tO/uSTt5c1Jb1i+P5axLc7jkpn28+0Ld2YhLsxysfTeBq77diSNc8c24Vmz9ygji/a8rYMDY/COO735hMd0vNPKJ5qaG8dUtresMbgDVVcLEq3tRUWbH7nDz/AcbWfFTPMPOymfNr3F8/HprLr15D/938x7efs6/LCdmCaNUVwkTr6np6wZWLE5gy5oYkltW0v+kwMWHrBJxCUTUqCH8rQ+lwOUOjgBn5VhvJXCGUqov0A8YJSJDzDKesTOKPenmTwrud3IJ+3aFke3nw7Lht1hKCo/83WjdqZz1y41EjKt+ieWkUflHO/VPuJ2C86CYTYWNqObeCeFs/TKGrqP/lDz5KAgVZUZN0uFQOEIUSsHQkfl8/5lRw/j+s2YMPdM7f4+GecIof/DVoQ6l5775oZ289Z/2EGCtwioRl0BFjWqjoURnwBhF9WZraCwLcMrg4HT0EM/mV/I5peDJ19cy5cPfGXXJXtN8PBqnXVjIoi/iTbW5a2skQ84sBGD4ufk0S6k/g290SycDxubzzvDjmD70OMJiXLQ/xRAUWTszgdnndeD7iS2pKPrzV7j161i6ne9NgDNqAVPnruX95StY/UscqWtjiE+upiDHCPAFOaHEJfn/MB5NGMXfh9vwdQ3vL/ud1UsMXwefkU/u/jBTxIfM9LU2fBU1qotj4e/RUBhNVG+2hsbqlOV2EVkDZAPfKaXqFp1xHz0x5YRrBjD+shN55Na+jB6TSe8TCi3x1xHiZshZRSz+Kt5Uuy/c15Hzr97PK3M3EBHlxlld/xdfUWRjx/fRXPtjGjcs3U51mY0tX8TS58oCrv0hjSu+TCeymZNfJh3ZT5i1JpyQCDdJXb1Lg+52C3dc0JerTz6Brn1Lad/FXFUmM4VRDF/7cfUpA+nap5QO3Q4w5rZMZr7UNjAnPVgt4uKPqFFdNJToDFp0xkAp5VJK9QPaAINEpPdRjjksOmM7et/BQV3OovxQfl3YjK69vaud+MqJp5ewfX0khbnmCndk7ojgoWu6M+6C3iz6MpF9u+vvI8lYEkVsm2oik1zYQ6Dz2SXsWxVBZLILmx3EBr0vKyJrbcQR5239Kpauo0t89vFAiYN1y2MZOLyQwtwQEpoZATKhWRVFef6XhxXCKIavcQwdmU/LNhVM+3It//txJcktK3nli7V+iw9ZKeLir6hRXTSU6AwYgdSbraE5JustlFKFwCJglK/nhkW4iIh0Hnrdf1g+u7abq4V6kNMuKjC9eQocauKJKC6/Yy9fz65/dDamVTVZayKo9ojZZCyNIvG4Kg5kH/7lT1sQTVLXwwMJyg3b5nnb/wZxidVExRhlGxrmov+wIjJ2RLBsYQIjLzZ0XEdenMOv3yfWZaZOzBJG+bOvhaRtiuLyIYP4x+kn8I/TTyA3K4xxF/X1W3zIOhEX/0WN6qIhRWeCpYlq5ShqM6BaKVUoIhHASOBZX+0kJFXx8EuG2Izdrlj0TQtWLkli6Bk53PrgNuISqvj3tHXs2BLNv27p57e/YeFuBgwvYcr9gTV3Jk7ZTp8hJcQmOJm5dDWzXmpDeKSL868xtACWfJvIgo/r10do2a+C40aV8MGFHRA7NOtZQa/LCln4YEtyN4eBQGzras54MuvQOXt+iyS6pZO4dt71wyQ0q2LCc9ux2UBsip+/SeK3HxPYvDqaB1/eytmXZpOzN5SnxnX1rzAwTxgloVkVE/6zHZtNGb7OS+a3H/0PvFb6+kcCETVqCH/rwxhFDY61qFaKzvQBZgB2jJriR0qpx+s6Jy6kmRoaf7HpvrjyC0y3CSChgU1LOBrjNgZXuiR3mTVK6rYoa2rp7gMHLLEbLJghOhNxXCvV8fmbvDp2898eq1N0RkTigelAb4zxi+uBVOBDoAOQDvyfUqrAc/wDwA2ACxivlJpf1/WtFJ1Zh6Fmr9FomhgmNj+nAN8qpS4RkVAgEngQWKiUekZEJgITgftFpCcwBugFtAK+F5GuSqlaldODo56p0WgaDQrv+t/qC4IiEgsMx9BPRilV5emvvxCj9Yfn70We1xcCHyilKpVSO4HtwKC6rqEDnEaj8Rnl5QYkH5wG5tlqtm07ATnAOyKyWkSmi0gU0EIptQ/A8/fgqFxrIKPG+ZmefbUSFGtRNRpNI0KB8n6pVm4dfXAOYAAwTim1XESmYDRHa+NoF61zEEHX4DQajc+YNE0kE8issQDgE4yAt19EUgA8f7NrHF9zmkMboM6lTTrAaTQanzFjoq9SKgvIEJFunl0jgE3AXOBaz75rgTme13OBMSISJiIdgS7Ab3Vdo9Ymqoi8Qh3VP6XU+Lrd9x3ldOHK839h97FGepivqjW1T+BLeI5G559qHWgKiG0nWmIWW2KCJXb/6tNEzODgWlSTGAfM9oyg7gCuwzOtTERuAHYDlwIopTaKyEcYQdAJ3F7XCCrU3Qe3wgTnNRpNU0MRcOaWQ6aUWgMcrY9uRC3HPwU85a39WgOcUmpGzfciEqWU0j9/Go2mUawz9YZ6++BEZKiIbAI2e973FZFplnum0WgaKYJye7c1NN4MMrwEnA3kASil1mJMztNoNH9VfJgI15B4NQ9OKZUhRyafsqbHWqPRNH5U09JkyBCRYYDyjHSMx9Nc1Wg0f1EaQe3MG7wJcLdgLIhtDewB5gO3W+lUbYSEuZn82fZDKlA/fx3PzOdbmmLbX3Wiu+9axqBBeyksDOfW284F4Oqr1zF0SCZut1BUFM7kFwaTnx/J6ael8/e/H/5t6NixkHHjR7FjR91TIpJTKpnw3HYSkqtRCuZ90II5M1Lo2P0A457YQXiki+w94fznnuMoK637K61Kd7PvQeeh9869isSb7CRcYZxXMNNJ7ssuOn0Xij1eUNWK/U87qdyswAbN/ukg8gTfpk+apfx00ZgdnHVhBkrBrrRYXnyiD2HhLiY+uZrmrcrI3hvJMw8NoLREq2pZTxOpwSmlcoEr/b2AiNgxppzsUUqN9tcOQHWlcN+lnT3KSooXvtjO7z/EsGVVYKl1AlEn+u77Tsz9sisT/rns0L5PP+nBzJl9ALjgglSuuGIjU6eeyI+LOvDjog4AdOhQyCP/WlxvcANDlenNSe1J2xhNRJSLl79Yx+olcdz1dBrTn2nP+t/iOOuSbP4+di8zX2pXp63QDjbav2ekeVIuxc5zq4g+3Zh7V52lKPvNjaPGb0bR524A2n8QijNfsffOatrOCEFs3t3gZik/JTWr4PzL0rl1zKlUVdqZ+NQqTj1zL207lrJ2RRIfvzuYS6/ZzqXXbOedV3v4ZNtsX/9IU1PVAsBt/SXMwJtR1E4i8qWI5IhItojMEZFOPlzjTkxr0tZQVgpR2EOUKcPVgagTbdjQnJKSI/PClZUfrkGEhzuPWp0/9dRd/PSTd1J8BTmhpG2MBjyqTGkRJLWook2nCtb/ZiRNXLUkjpO9VOs65OfvipA2QkiKEaxyX3SSPM5xxI9z1U43kScat4kjUbBFY9TmvMRM5Se7XREa5sJmdxMW7iIvN5whw/fz/deGBOP3X7dhyKn7/bJttq81aXKqWgfnwXmzNTDetDXeAz4CUjByMH0MvO+NcRFpA5yHkdDOFGw2xbTvUvlw3UZWL44mdXXjVFO69pq1vDtjDqeftouZM4//0+enDt/NIi8DXE2at66gc88DpK6NJn1rBENGGsk8Tzknj+SWdeug/pHSBS5izjZ+MEp/cuFoJoR1PfKWCOti48BiN8qpqN6jqNyiqN7vfYAzq2zzcsL5bHYn/jfnB2Z9vZADpQ5WL29GfGIlBXlGjaUgL5z4BN/KwApf66IpqGpB09JkEKXUTKWU07PNwvsuxpeA+6ijQltTVaua+m9Ot1u47cxuXHlCT7r1K6N9t3IvXakdK9SJZrzbl2uuvZAfF7Xn/PO3HfFZt265VFTa2bUr3ieb4ZEuHn51K68/2YGyUgcvTjyO86/K4uUv1hER5cJZ7X3fmKpWlC52Ez3ChrtCkf+Oi8Rb/rxMLPYCG47mwu5rqsl5wUl4Hxviw2oys8o2OqaaIcP3c/3fTufq80YQHuHi9FGZvhuqA62q5QNBMk2k1idCRBJFJBH4UUQmikgHEWkvIvcBX9dnWERGA9lKqZV1HVdTVSuEMK8dP1BsZ+2v0Zx4uu8KUn/ESnWiRYs6cNJJGUfsO3X4bn5a5Fvtze5w8/Crqfw4N5mlC5IAj1rXP3oy/qI+/PRlMvt2+1B+S92EdxccSUJ1psK5V7H7iip2XlCJMxt2X1WFM1chDqHZPQ7avxdKq8khuEsUIW29b3qYVbb9Tsxl/94IigvDcLlsLP2xJT2OL6AwP4yEJENuMiGpgsIC78vAKl+PRlNT1WoKTdSVGIMDlwE3Az9iKGPdirEgtj5OAi4QkXTgA+AMEZkViLNxiU6iYo0peKHhbgacUkrG9sA7VM1WJ2rV6nDQHTJ4D5mZh8VFRBSnnLKbnxb7EuAUd01KI2N7BJ+/3erQ3rjEw2pdY27P5Jv3vR9RLpnvJvosoxYRdpyNTgvC6DjX2BzNod2sUBzJgrtC4S43fooPLHeDA8I6eV9TNKtsc/aH0613IWFhLkDR98RcMtKjWf5zC0aeZ9TkRp6XybLF/o8ialUt7xHl3dbQ1LUWtWMghpVSDwAPAIjIacAEpdRVgdhMbFHNhCm7sdnAZoPFX8ax/PvAlIkgMHWi++9bQp8+2cTGVjLz3S+YOet4TjxxL21al6AUZGdH8crUwyk3evfOJjc3kqysaK/963VCCSP/lsvOLZFMnWuI0syY3I5WHSoYfZWhqrV0QSILPvHu4XFXGKOlzR+sf5aQKx/2jKsGGziaQcvHfKshmKX8lLoxgSU/pDDl3Z9xuYQdW+OY90U7IiJcTHx6FWdekEFOVgSTHvRfXEeranmJEmgEy7C8wStVLY9gc0/gUOkppd71+iKHA1yd00RiJVENlqMmEWiU2Pr1NN/o1nTzbWJluiT/O/XrwtG2jSV2nRnm9tsFG2aoaoW1b6tSHrjTq2N33XpvnapaVlPvT7iIPAqchhHgvgHOAX4BvA5wSqlFGM1bjUbTFGgEzU9v8KYz5RKM3ExZSqnrgL7gw2iARqNpegTJKKo3S7XKlVJuEXF6ZL6yMdRwNBrNXxETE15ajTcBboVHffpNjJHVUurJg67RaJo2jWGE1Bu8WYt6m+flf0XkWyDWo1qv0Wj+qgR7gBORWsfbRWSAUmqVNS5pNJrGTlOowU2u4zMFnGGyL0GHe82mhnbBa6xSv7pyizXTLmb3sKaPx9HR9/W/9eHcuct0mwCOluanPpJck7Teg70PTil1+rF0RKPRBAmNZITUG0wK5xqN5i+FDnAajaapIkGS8FIHOI1G4ztBUoPzJqOviMhVIvKI5307ERlkvWsajaYx4m0mkcYw0urNUq1pwFDgcs/7EuBVyzzSaDSNnyDJB+dNE3WwUmqAiKwGUEoVeOQDjzn3vLCbwSNLKMx1cPMZ3Uy1bYU6kVWKR43R7ub/RZP2SRQIxHepZuikfDb8N5bMheGIDcIS3QydlE9kCzf7loSxZnIcrmrBHqLof18RLYf4npVkxrKNlJfacbsNYZdx5/p3T1xw6Q7OvmAXIjB/bjvmfNSZq27cwpCT96GUUFgQxotP9Sc/179URGbft1HR1Yx/ZCPtO5cCwkuP9aKqwsbtD20mNNSNyyVMm9SDrRstzA3XCGpn3uBNgKv2KGMpABFphpeaOp5klyUYQtHOQNOmLPgwkbnvJHPvlIz6D/YBK9SJrFI8aox2y/bbSJ0Zzeivs3CEw893JZL+dSQ9byih753FAGx5N5r102IZ/FghYQluTn0tl8gWbgq3OvhhbDMuXrzPL7/vu/Q4igv870pu37GYsy/YxT1jT6HaaeOJycv4fWkLPp3dmVlvdgfg/Et2cPl1qbz6XF+/rmH2fXvTvVtYuTSZSff1w+EwBHgmPruO917vxMqlzRh4Ug7X3bmVB26yaPIjjaP56Q3eNFFfBj4HmovIUxipkp724RqnK6X6mZETasPyaEoCuJlrwwp1IqsUjxqrXeUCV4XgdoKzXIhs7iIk+vBT4CyXQxoCiT2riWxh/EbGdXHiqgRX1dGsWk/bDqWkbkygstKB22Vj/Zokhg7fR3lZDWW0CFdAWgdm3rcRUU56DyhgwRetAXA6bRwoDUEBkdFGzr+oaCf5ORYm/FHGKKo3W0PjzVrU2SKyEiNlkgAXKaWalLL90dSJug8oa3Q2G6vdyBZuelxfyhdnpGAPU6ScVEnKyUaTc82LseycE0lIjGLkjJw/nZsxP4LEntXY/en0UMLT76eBgq9nJTFvdrLPJnbtiOGamzYTE1tFVaWNgUOz2b4lHoBrbtrMGaMyOHAghAfGDfPDQfNJaV1GUUEod/97Ix27lrB9cyyvP9eNN5/vxuNTV3HDXamIDSZcZ/E4YFOpwYlIO6AM+BKYCxzw7PMGBSwQkZUiclMt9n1S1bICK9SJrFI8aox2K4uEzIXhXPh9Fhcv3oezXNg515DF63d3MX9blEWH0WVsnXVkmvbCbQ5WT45j0GMFfvl890VduGNUNx66qhMX/COX3oNLfbaRsSuGT2Yfx5Mv/crjLyxj5/ZYXC6jMN59owf/uPgsFi1ow/l/3+mXj2ZjsyuO617CN5+0YfwVQ6kot3Ppdemce0kmb07uxj/OPZU3J3fjrkc2WutIkOSD86aJ+jXwlefvQmAHMM9L+ycppQZgZAG+XUSG//EAf1W1zMQKdSKrFI8ao92sX8OJbuMiPNGNLQTanllOzuojq2QdRpex+7uIQ+/LsuwsviOJoc/mE9POv3Tq+fsN/4ryQlgyL47u/fyryS74qj13Xn8q999+MiXFoezNOFJrd9GC1gw7zb8+QrPJyw4nNzuM1A3xACxZ2ILjuhczYvRelv7QHIBfvmtB117WCkA3mWkiSqnjlVJ9PH+7AIMw+uHqRSm11/M3G6Mfr1HOn7NCncgqxaPGaDcqxUXu2lCc5YJSkPVrGHGdqilOP9wDsueHcGI7GipgVcXCjzcn0e+eYpoP8K/zLSzCRUSU69DrE04tIT3Vv4GWuHij5dCsRRnDTt3HT9+3plWbw7XBIadkkbnLe5EgKynICyNnfzit2x8AoO+gPHbvjCI/N4zjTyjw7Mtnb0bgwtJNAZ97PpVSq0Sk3uEZEYkCbEqpEs/rs4DH/fDxEBOn7aLP0FLiEp3MWrGJmZNbMP/9pEBMAtaoE1mleNQY7Sb3raLdWeXMu7g54oCEHlUcd9kBlvwzkeL0EEQUUa1ch5qiqbOjKdntYMNrMWx4LQaAM97KJTzJ+17phGZOHn3LaDba7fDjF/GsWOSfStWDT/9ObGwVTqeN1yYfT2lJKOMnrqV1u1KUG7KzInn1uT5+2Qbz79vXn+3OvU+txxHiJiszgpf+3Ztli5pz871bsNkV1ZU2Xnmyl9/2vaIR1M68oV5VLRG5p8ZbGzAASFJKnV3PeZ0wam1gBNL3lFJP1XVOsKlqaaxMl9TWEruODt52H3tPMKVLWpr7EUVV2QHNwA1v1VZ1uOme+g8EUh+7p3GragExNV47MfriPq3vJKXUDgyBGo1G09QwsQbnmWe7AtijlBotIonAh0AHIB34P6VUgefYB4AbMObWjldKza/Ldp0BznPhaKXUvYH+ExqNpmkgmD6AcCewGTjYxzARWKiUekZEJnre3y8iPYExQC+gFfC9iHRVStU6SlXrIIOIODwn+i8VrtFomiYmTRMRkTbAecD0GrsvBGZ4Xs8ALqqx/wOlVKVSaiewnXoGLuuqwf2GEdzWiMhc4GPgwMEPlVKf1e++RqNpcvg2BSRZRFbUeP+GUuqNGu9fAu7jyK6wFkqpfQBKqX0i0tyzvzWwrMZxmZ59teJNH1wikIehwaAwaqgK0AFOo/mr4v2Ad25tgwwiMhrIVkqtFJHTvLB1tMGROkNtXQGuuWcEdQOHA5tXRjUaTdPGpD64k4ALRORcIByIFZFZwH4RSfHU3lIwxObBqLHVHF5vA+yt6wJ1BTg7EI0fUdNvYiJxnWh+l5/9R2sUDqW/+XONZHOa6TYBbEmJltid3d0Ss2yb0d8Su12uNf9eEIc1ibGdWftNt6mU0yRDJphQ6gHgAQBPDW6CUuoqEXkOuBZ4xvN3jueUucB7IvICxiBDF+oRoa/rm9mnlApoYq5Go2mCWL/O9BngIxG5AdgNXAqglNooIh8BmzCmrN1e1wgq1B3gGj4dp0ajaZSYvc5UKbUIWOR5nYeRvehoxz0F1LlgoCZ1BTi9pECj0RydIOmFr0v4Of9YOqLRaIKHxpDM0hu0bKBGo/GNRpLrzRt0gNNoND4hBE8HfaMMcBNu/IXB/TMoLA7nxol/A6BTu3zuun4pEeHVZOXEMGnacMrKQ+nWKYe7xy4FQFC8+1l/lqxo7/M1/VWUuvvOZQwetIfCwnBuuf28Iz77+8WbufGG1fzf5RdTXBxOTEwlDz/4M1275PPd9x2Z9l/vREGSUyqZ8HwaCc2qUW5h3gfNmfO/llx9dwZDzyzA7RaK8hxMvrcz+dne5/5u3b6UiU+vOfS+ZasyZr3RhTnvdwTg4qt2cMOdqVw+cgTFRf4LqQWi1tXhnxtwh9vAJiibkPFYdxI/30vcojxcscbtm3tJK8r6xhGzNJ+EeYenVoRmlLP7se5Utfc+N5pZimV3P5fO4BFFFOY5uOVMYzrR2AczGTyyEGe1jb27wnhhQnsOFAf2CFqlsFYvugYHIhKPscasN0aRXK+U+rW+8+b/fBxffNed+2/5+dC+f45dwuvvnci6LS0ZdepW/u+8DfzvkwGkZyZw28Pn43bbSIwv4/Wn5/Drqra43d4kKzYIRFHqu+878eVXXZlwz5H/VnLyAQb028f+7MMPV1WVnXdn9qF9+yI6tC/02j+XU3jz6fakbYwiIsrFy3M3sPqXWD59M4WZLxrzHi+4Nosrxu9h6sMdvba7Z1c04648GTDK4N1vfmDpjy0N/1uU029QHtn7Gl4FLHNiV9wxR96qBWc3p/DcIx/mkmGJlAwz5vuFZpTTakqaT8HNTMWy7z5O4ssZzZnw4uFU56t+juXtZ1vjdgnXP5DJZbdn8fakNj7btsJfX2kM2Xq9wfso4B9TgG+VUt0xUid5JVazfktLSkqPTF/eplUR67YYN/TK9a04ZVA6AJVVjkPBLDTEv9TXgShKbdjYnJKSP9dubr5xFdPf6X+E+G1lpYONm5pTXW33yb+CnFDSNhpptMsP2MnYHk5Sy2rKSg8/9OGRroB+VfuemMu+zEhysoy04jfevZl3XumGClC81yoVsPqIWZZPyZAEn84x09cNv8VQUnjk97zq51jcHr2HLauiSG5Z7ZdtK/z1mSDRZLCsBiciscBw4B8ASqkqwG9xuPSMeIadsJulK9szfHA6zRIPrfune+ccJtz0Cy2SS3nmteE+1d7AfKWqIYMzycuLYOdO3x4wb2jeupLOvcpIXWMEvGv/mcGIv+VyoMTOxCt7+G13+Fn7+Gl+KwAGD99PXk44O7f5lyG3JmaUbevntgFQdHozik83lLPiF+YQuySPio5R5F7eGnfUkbdy9PIC9t3V+Zj76i1nXZbH4i8Duz+Opb9HoIJnFNXKGlwnIAd4R0RWi8h0T+ryI6ipqlVVdeDPVjw8/8bJXHDmFqY9OZfIiGqczsO/jlvSmjH2/r9x+7/O5/IL1hES4ttyFDOVqsLCnIy5bCPvzvI/xXVthEe6eHjaVl5/ov2h2tuMyW255uT+/Dg3ifOv8W9pj8PhZvDwbH5Z2JKwMBeXXZfGrP92McXnQMs24+GuZDzeg70TjiN+YQ7hW0ooOqMZ6c/1YvcTPXDFO0h+f88R54SlHUCF2ahqE1GLVWt89ZYxd+zD5RR++Dyw5XPHyt+jEiQ1OCsDnAMj3dJrSqn+GKmWJv7xoJqqWqGhf4p/h8jYF8/EZ87mtocv4IelndibHfOnY3bvjaei0kHHNoU+OWqmUlVKy1JatijltanzmPH2HJKTy5g65VsSEsr9sncQu8PNw9O28ePcZJbO//ODsWhOMied7d/UxYHDckjbEkthfhgt25TRolU5U99bwttzFpHcvIIps5aQkOSfpGOgZetKMGoortgQSk+II3xHGa64ELAJ2ISiU5MJ33HkD2PMsgJKhvgePKxSLKvJyEvyGDyiiP+M70igY5HHwt/aaDKqWgGQCWQqpZZ73n9CAMkz42ONACGiuOqitXy1sBsALZuVYLMZ9eXmyaW0SSkiK8c3BSQzlarSd8Uz5sq/c+31F3Lt9ReSmxvJHXeOoqDAt9rEkSjuemYnGWkRfP5WyqG9rTpUHHo9ZGQBmTv861wefvY+flpgNE93pcVw5dkjuP7C07j+wtPIzQ7nzqtOoiDPP0nHQMpWKl1IuevQ68gNJVS1CcdeeLjvKnpl4ZE1Nbci+vcCSgb73vyzSrHsICecWsSlt2bx7xs6U1kR+KNntb91EiQ1OMv64JRSWSKSISLdlFKpGEu/Nnlz7oO3L6JvjyziYip4/5UPmfFJfyLCq7nwzC0A/PJ7e779yWhC9e62nzHnr8fpsqHc8PI7Qyku9e1BD0RRauJ9S+hz/H5iYyuZOeNzZs3uw/wFtff9zHh7DpGR1TgcboYOzeShh89gd0bdN2WvgaWMvDiXnVsimPrVesPO82056/+yadOxAqUge08Yr/gwgnqQsDAX/QflMvVpa1SYAilbe5GTVi/vMN64FCVDEyjrE0eL19MJ2230NVUnh5F93WEhmYjUUpyJITib+x6QzVQsm/jKDvoMLSE2wcnM5euY9UIrLrs9i5BQN0/PNvoUt6yO4pUHfZ/SZIW/vtIYamfeUK+qVkDGRfphTBMJxRCMvu6geMTRiI1towaeeLvpfuh0SdalS3LuqTMdl99sm2FNpvxgSpeknCalNqrBcrWQYpUfUNs4sllb1f1i71S1Vr/R+FW1/EYptQZosH9Oo9GYjwWiM5bRKFcyaDSaRo4OcBqNpqkix2w+SmDoAKfRaHyjkYyQeoMOcBqNxmd0H5xGo2myBMtSrcYV4ErKLJvSYQVq9UbzbZpu0cBt0XQOq7BiOgfA/L1rTLd5dqt+ptsEsEV6nwnFW6TcpLn9ugan0WiaJI1kGZY36ACn0Wh8Rwc4jUbTFNETfTUaTZNG3MER4XSA02g0vqHnwVmHVSIbVtgNJl+tshsS5mbyZ9sJCVXYHYqfv45n5vMtG9zXz6cnM292EkrBOVfmc/GNOQDMeSuZue8kY3MoBo8oZuy/9lFdJUy5rw3b1kUiNrj18T30HVZ6TP09SHJKJROe205CcjVKwbwPWjBnRgqdehxg3BM7CAl143IJrz7aka3r/pwz0Sz+8tNERKQb8GGNXZ2AR5RSL/lr0yqRDSvsBpOvVtqtrhTuu7QzFWV27A7FC19s5/cfYtiyqvbkplb7mr4lnHmzk3j5662EhCoevKIzg0cUkbMvlKXz43htYSqhYYrCXOPxmDc7CYDXf0ilMNfBQ1d24pV5W7F5OePCzLJ1OYU3J7UnbWO0IUD0xTpWL4njhvt3MfvlNqxYnMCJpxZww/27uf9Ka1JgAUFTg7Ms4aVSKlUp1U8p1Q84ASgDPg/EplUiG1bYDSZfrbQLQkWZkV7eEaKwh6iA02oH6uvubWH0GFBGeKTC7oA+Q0tZMi+er95N4rI79hMaZjgYn2ykK9q9NYz+p5Qe2hcd52LrWu/nqJlZtoYAkZHQtfyAnYy0CJJaVKEUREYbyUEjY1zk7bc2s6/O6HskI4A0pdSuQIwcTWQjOSUwZSKr7AaTr1baBaMGM+27VD5ct5HVi6NJXe1/7Q0C97VD9wrWL4+iON9ORZnw+w+x5OwNYU9aOBuWRzP+vC5MuPg4UtcYmYI79arg1/lxuJyQtTuUbesiydnrfQCxqmybt66gc88DpK6N5vUnO3DDxF28+/NKxk5M53/P+59Is14UhviDN1sDc6z64MYA7x/tAxG5CbgJIJy6fxWtEtmwwm4w+WqlXQC3W7jtzG5Exbp49K2dtO9Wzq5U/1O4B+pruy6V/N9t2TwwpjPhUW469izH7lC4XFBaZGfKV9tIXRPJUzd3YMayzZw9Jo/d28K4Y1Q3mrepoufAA9jt3l/QirINj3Tx8Ktbef3JDpSVOrjm7gzeeKoDS+Ynccq5udw1KY0Hr+0Z2EXqIFj64CyvwYlIKHAB8PHRPq8pOhNC3WmmrRLZsMJuMPlqpd2aHCi2s/bXaE48vSQgO2b4OuqKfF5dsJXJn28nJt5F646VJKdUc9K5RYhA9/5l2GxQlG/H7oBbHtvLa9+n8tj/dlJaZKd1J+9FeMwuW7vDzcOvphoCRAuM/sGRF+ewxCNG9PM3SXTr69sgiC8cnAenm6gG5wCrlFL+adrVwCqRDSvsBpOvVtqNS3QSFWv0DYWGuxlwSikZ2wMbuDDD14MDCNmZISz5Jo7TLipk2Kgi1vxi9G9lpoVRXSXEJbqoKBMqyoxHZeVP0dgdivZdvQ9w5pat4q5JaWRsj+Dzt1sd2pu3P5TjBxcD0G9oMXvSLdRm8LZ5+hdpol5OLc1TX7FKZMMKu8Hkq5V2E1tUM2HKbmw2sNlg8ZdxLP8+MEFpM3x9fGwHSgoc2EMUdzydSUy8i7PH5PPCPW256fRuhIQo7p2yGxEozAvhocs7ITajP+2+V3zrSjazbHudUMLIv+Wyc0skU+euBWDG5Ha8/FAnbv5XOna7oqrSxssPdfLLvrc0htqZN1gtOhMJZACdlFL1DhvFSqIaLCMs80ej+atnE1lW/jVFrtyARGdi4tuo/sPv9OrYn7+8r0mLzpQBSVZeQ6PRHHuCpQYXdCsZNBpNA6MAV3BEuGM1D06j0TQhzBhFFZG2IvKjiGwWkY0icqdnf6KIfCci2zx/E2qc84CIbBeRVBE5uz4/dYDTaDS+Y84oqhP4p1KqBzAEuF1EegITgYVKqS7AQs97PJ+NAXoBo4BpImKv6wI6wGk0Gp8xowanlNqnlFrleV0CbAZaAxcCMzyHzQAu8ry+EPhAKVWplNoJbAcG1XUNHeA0Go1vKB82SBaRFTW2m45mUkQ6AP2B5UALpdQ+MIIg0NxzWGuMWRkHyfTsqxU9yBAA4jC/+JTLZbpNS7FompEVZQtwduv+ptv8NPNX020C/L3NENNtKhX4GisBxPtBhtz6pomISDTwKXCXUqpYjra27fCl/0idjuganEaj8RlRyqutXjsiIRjBbbZS6jPP7v0ikuL5PAXI9uzPBNrWOL0NUKdcnA5wGo3GN3xrotaKGFW1t4DNSqkXanw0F7jW8/paYE6N/WNEJExEOgJdgN/quoZuomo0Gh8xbZ3pScDVwHoRWePZ9yDwDPCRiNwA7AYuBVBKbRSRj4BNGCOwtyul6uzT0QFOo9H4jBkrGZRSv3D0fjUwckge7ZyngKe8vYYOcBqNxncaQaYQb9ABTqPR+IbyaRS1QQmqANesVRX3TtlNQnMnyg3fzErii7eamWLbLNWju59LZ/CIIgrzHNxy5pGiH3+/KYsbH97D//XtS3GB/0U/Y9lGykvtuN2GCMm4c7v5besgbTpX8OBr6Yfet2xXxcznW/L59Oa1n+QlwVK2gZbBV9Nb8v37zVEKzrwim9Fjsw59Nue/Kbz7ZHveWbeC2EQn1VXC6xM7krY2GrEprn9sF72HFfvkr5XPQ70ER3yzNsCJyN3AWIziWA9cp5Sq8Neeyym88Xgrtq+PJCLKxdRvt7JqcUyjUpT67uMkvpzRnAkv7jxif3JKFQNOKWF/ZmgtZ/rGfZceF1CQ/COZaeHcdlZ3wCiP2Ss3smRefMB2g6lsAymD3Vsi+P795jz71QYcIW6euKoHA84opFWnCnL3hrL25ziSWx9Okvn9e0bQfHHhOopyHTx5dXee/XqD10pdYN3z4A3eTAFpDFg2TUREWgPjgYFKqd6AHWMdmd/kZ4ewfb2RI6v8gJ2M7eGmiHeYqXq04bcYSgr/vDzu5kczmP5066D45et3cgn7doWRvSfwYBysZetrGWRuj6Br/1LCItzYHdBrSDG/fWusEX/n3+255qHdR2gzZG6L4PiTjBpbXLKR9ThtrW9iPFY9D14RJBl9rZ4H5wAiRMQBRFLPpDxfaNGmis69y9myKvCkgFYqSgEMObOQvKxQdm42KYGhEp5+P42p81I558pcc2zW4LQLC1n0RbwptoKubD34WgbtupWxaXkMJQUOKsttrPohnty9Yfy+IIHEllV06Fl2xPHte5Tx+4IEXE7YvzuMtPVR5O6tW5OkLsx8HupFAW4vtwbGsiaqUmqPiDyPMY+lHFiglFrwx+N8UdU6SHiki39NT+e/j7SirLTOZAJeYaWiVFi4mzF37OPBq7qaYxC4+6Iu5O8PIS6pmmc+SCNjuyF3ZwaOEDdDziri7UkpptgLtrIF/8qgTZcKLrptL49d3oPwKBcdepZhdyg+fbk1/3pv85+OHzEmmz3bI7jv3ONp1qaSbieUYHf4VzBmPw/1IXi3SqExYGUTNQFj9X9HoBUQJSJX/fE4X1S1AOwOxb+mp/PDZwmm9BGBtYpSKe0radm2ite+3cSMJetJTqli6jebSGjmfy0m3yPqW5QXwpJ5cXTvV1bPGd5z4uklbF8fSWGuOf9/sJUt+F8GIy/P4flv1/Pkp5uIjnfSrE0l+zPC+OdZfbhlSH/y9oVy76jjKcgOwe6A6/69i8kL1jPx7a2UFTtI6eh797QVz4NXuN3ebQ2MlYMMI4GdSqkcABH5DBgGzPLfpOKeyRlkbAvnszfMGy2qqXqUlxXCaRcW8szt7U2xnZ4awZgBfQ+9n7FkPeNG9/B7gCAswoXNZvS5hEW4OOHUEma/2NIUXwFOu6jAtOYpBFfZHsTfMijKdRCX7CRnTyjL5iUyac6GI0ZSbxnSn/98s57YRCeV5TaUgvBIN2sXx2FzKNp2LffxitY8D15ctlE0P73BygC3GxjiEZ4px5iZvCIQg70GHWDkpQXs2BTOtO9SAXhnUgq//9DwKk0HmfjKDvoMLSE2wcnM5euY9UIr5n+YHJB/NUlo5uTRt4xRRLsdfvwinhWLAvv/DxIW7mbA8BKm3N+2/oO9JJjKFgIrg+du6moodTkUNz61k+j42lcRFeWG8MSV3REbJLasYvyU7T5fz6rnwRuCpYlqtarWY8BlGOvGVgNjlVK1CkoGm6qWTpdE0KVLsqJ8P80InnRJy9VCilV+QKpacZGt1NAuN3h17Px1TzZpVa1HgUetvIZGoznWNI4pIN4QVCsZNBpNIyCIVLV0gNNoND4TLH1wOsBpNBrf0QFOo9E0SRTg1gFOo9E0SfQgw18C5XQ2tAtNFqvK1hYTY7pNK6ZzAHy1Z6XpNoeNOmCOIR3gNBpNk0QBruBYyqADnEaj8REFJuirHgt0gNNoNL6jm6gajaZJokdRNRpNk0bX4DQaTZNFBzhrMEuh6VjYveeF3QweWUJhroObzwhc+eogugzM8zUk1M1zs9cREurGbodf5icx65X2THxxC206GvnZomOclJY4uOOi/g3i75zpzZn/XjIoOPuKXC68MRuAL99uxlfvNMfuUAwcUcT1D++hON/OpJs6s21tJCP+L49bn8rw2+daUQqCJOuN1apadwI3YqhXv6mUeikQe2YqNB0Luws+TGTuO8ncO8W8m0yXgbm+VlcJE689nooyO3aHm+ffW8eKxQk8c3f3Q8eMvX8HZaX+PyqB+Ju+JZz57yXzwtebCQlRPHJlFwaOKCJvXwjL5scz9ftNhIQpCnMN/0LDFVfdt4ddWyLYlRrht8/1EiQ1OCtTlvfGCG6DgL7AaBHpEohNMxWajoXdDcujKTFR2g90GYDZvgoVZYaOgcOhcDgUStVMl6YYfk4ui77yP2NuIP5mbgun+4ADhEco7A7oPaSEX7+N55t3m3Hp7VmEhBmBJj7ZmBgdHumm16ADhIZZHIC0qhY9gGVKqTKllBP4CfhbIAatUmiyWvnJTHQZmO+rzaaY+sVq3l+6nNVL40ldd3i1Q++BxRTkhbJ3l/+1oUD8bd+9gg3LoinOt1NRLqz4IY7cvaHs2RHOxt+iuWd0dyb+vStb1xwDNa1DKGMU1ZutgbGyiboBeEpEkjBSlp/LUVKW+6KqZZVCk5XKT2ajy8B8X91u4Y6L+hMV4+Rfr26mfZcD7NpmaJSeNjqHn74KLC16IP627VLBJbdn8a/LuxIe5aJjz3LsdoXLJZQWOZj85Ra2ronk2Vs6Mf3XDUe9lukoUEEy0deyGpxSajPwLPAd8C2wFiN1+R+P81pVyyqFJiuVn8xGl4F1vh4ocbBueRwDTykAwGZXDDszj8XfBCboEqi/Z12ex5T5m3n2s63ExDtp1bGS5JQqhp5TgIjRBBYbFOcfwzFDl9u7rYGxVPhZKfWWUmqAUmo4kA9sC8ReTYUmR4ib0y4sZNmCuID9tMquFegyMNfXuIRqomKM393QMBf9hxWSscNoSfQfVkjmjghy9/svyGyGvwcHELL3hPDrvAROvSifIWcXsm6J0ZTekxaGs0qITTxGyR+U0rKBACLSXCmVLSLtgIuBoYHYM1Oh6VjYnThtF32GlhKX6GTWik3MnNyC+e8nNUpf/6plkNC8ignPbMVmV4jAz98m89uiRABOPTeHRV8HLscXqL9P39jpkFrXLU/tJjrexZlj8pjyz/bcdkZPQkIUd7+Ufqh5ev3g3pSV2nFWCcu+jeeJ97fRrqvvmqt10lj7L/6A1apaPwNJQDVwj1JqYV3HB5uqlib4sCJdkrukxHSbYFW6pD2sXFsZmKqWPVkNiTjPq2MXHHi3SatqnWKlfY1G0xA0jikg3hB0Kxk0Gk0DoxfbazSapooieATKLR1F1Wg0TRDlSXjpzVYPIjJKRFJFZLuITDTbVV2D02g0PqNMaKKKiB14FTgTyAR+F5G5SqlNARv3oGtwGo3Gd8ypwQ0CtiuldiilqoAPgAvNdNPSaSK+IiI5wC4vDk0Gci1wQdsNLl+DzW5j8LW9UiqgyX0i8q3nmt4QDtSchPeGUuoNj51LgFFKqbGe91cDg5VSdwTiX00aVRPV24IXkRVWzK3RdoPL12CzG0y+1oVSapRJpo42H8/UGpduomo0moYiE2hb430bYK+ZF9ABTqPRNBS/A11EpKOIhAJjgLlmXqBRNVF94A1t1zK7weRrsNkNJl8tRynlFJE7gPmAHXhbKbXRzGs0qkEGjUajMRPdRNVoNE0WHeA0Gk2TJegCnBVLO0TkbRHJFpENZtjz2GwrIj+KyGYR2ehRGDPDbriI/CYiaz12HzPDbg37dhFZLSJfmWgzXUTWi8gaEflT2no/bcaLyCcissVTxgHlGvTY7Obx8eBWLCJ3meAuInK35/vaICLvi0jgyfYMu3d6bG40y9cmhVIqaDaMjsg0oBMQipEGvacJdocDA4ANJvqaAgzwvI4BtprkqwDRntchwHJgiIl+3wO8B3xlos10INnke2EGMNbzOhSIt+Bey8KYGBuordbATiDC8/4j4B8m2O2NoX0SiTFg+D3QxcxyCPYt2GpwliztUEotxkipbhpKqX1KqVWe1yXAZowbPVC7SilV6nkb4tlMGSkSkTbAecB0M+xZhYjEYvwovQWglKpSShWafJkRQJpSypuVNd7gACJExIERkMyY72W6cl1TI9gCXGugpoJwJiYEDasRkQ5Af4zalhn27CKyBsgGvlNKmWIXeAm4DzA7mb4CFojISo+KWqB0AnKAdzzN6ekiEmWC3ZqMAd43w5BSag/wPLAb2AcUKaUWmGB6AzBcRJJEJBJDua5tPef8pQi2AGf50g6zEZFo4FPgLqVUsRk2lVIupVQ/jJnfgzwi2wEhIqOBbKWU+Xmy4SSl1ADgHOB2ERkeoD0HRpfCa0qp/sABwLRUO55JpxcAH5tkLwGjpdERaAVEichVgdpVXirX/ZUJtgBn+dIOMxGREIzgNlsp9ZnZ9j3NskWAGWsDTwIuEJF0jKb/GSIyywS7KKX2ev5mA59jdDUEQiaQWaPm+glGwDOLc4BVSqn9JtkbCexUSuUopaqBz4BhZhhWJivXNTWCLcBZvrTDLEREMPqINiulXjDRbjMRife8jsB4eLYEalcp9YBSqo1SqgNGuf6glAq4liEiUSISc/A1cBZG0yoQX7OADBHp5tk1AjAthxhwOSY1Tz3sBoaISKTnvhiB0ScbMCLS3PP3oHKdmX4HPUG1VEtZtLRDRN4HTgOSRSQTeFQp9VaAZk8CrgbWe/rLAB5USn0ToN0UYIYnWaAN+EgpZdqUDgtoAXxuPNc4gPeUUt+aYHccMNvzQ7cDuM4Em3j6ss4EbjbDHoBSarmIfAKswmhCrsa85VWfishB5brblVIFJtltEuilWhqNpskSbE1UjUaj8Rod4DQaTZNFBziNRtNk0QFOo9E0WXSA02g0TRYd4IIIEXF5slxsEJGPPVMa/LX1P4+qEZ6lTj3rOPY0EfF5Yqoni8if1Jdq2/+HY0rr+vwox/9bRCb46qOmaaMDXHBRrpTqp5TqDVQBt9T80DM3zmeUUmNV3WK7p2HSzHuN5liiA1zw8jNwnKd29aOIvIcxqdguIs+JyO8isk5EbgZjZYWITBWRTSLyNdD8oCERWSQiAz2vR4nIKk++uYWeRAG3AHd7ao+neFZTfOq5xu8icpLn3CQRWeBZAP86R187fAQi8oVnEf7GPy7EF5HJHl8Wikgzz77OIvKt55yfRaS7KaWpaZIE1UoGjYEn5c45GAuswVjb2VsptdMTJIqUUieKSBiwREQWYGQz6QYcj7G6YBPw9h/sNgPeBIZ7bCUqpfJF5L9AqVLqec9x7wEvKqV+8SwRmo+RuudR4Bel1OMich7gTeaQ6z3XiAB+F5FPlVJ5QBTGetB/isgjHtt3YKwAuEUptU1EBgPTgDP8KEbNXwAd4IKLiBrLvn7GWOs6DPhNKbXTs/8soM/B/jUgDuiCkT/tfaWUC9grIj8cxf4QYPFBW0qp2nLkjQR6epZfAcR61psOx1gPiVLqaxHxZtnQeBE5mMOsrcfXPIyUTR969s8CPvNkZhkGfFzj2mFeXEPzF0UHuOCi3JMm6RCeB/1AzV3AOKXU/D8cdy71p5YSL44Bo2tjqFKq/Ci+eL32T0ROwwiWQ5VSZSKyCKgtlbfyXLfwj2Wg0dSG7oNreswHbvWkakJEunqyeCwGxnj66FKA049y7q/AqSLS0XNuomd/CUba9YMswGgu4jmun+flYuBKz75zgIR6fI0DCjzBrTtGDfIgNuBgLfQKjKZvMbBTRC71XENEpG8919D8hdEBrukxHaN/bZUYIjqvY9TUP8fIFbYeeA0jvfURKKVyMPrNPhORtRxuIn4J/O3gIAMwHhjoGcTYxOHR3McwMsyuwmgq767H128Bh4isA54AltX47ADQS0RWYvSxPe7ZfyVwg8e/jZiQsl7TdNHZRDQaTZNF1+A0Gk2TRQc4jUbTZNEBTqPRNFl0gNNoNE0WHeA0Gk2TRQc4jUbTZNEBTqPRNFn+Hzlq6gLtoHPYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_6_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k6_E,\n",
    "                             display_labels=neigh_E_6.classes_)\n",
    "disp_6_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "f35fcb93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_7_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k7_E,\n",
    "                             display_labels=neigh_E_7.classes_)\n",
    "disp_7_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9fa11c1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_8_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k8_E,\n",
    "                             display_labels=neigh_E_8.classes_)\n",
    "disp_8_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c92e2b90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_9_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k9_E,\n",
    "                             display_labels=neigh_E_9.classes_)\n",
    "disp_9_E.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "c336e094",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_10_E = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k10_E,\n",
    "                             display_labels=neigh_E_10.classes_)\n",
    "disp_10_E.plot()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "e3f266ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_1_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k1_M,\n",
    "                             display_labels=neigh_M_1.classes_)\n",
    "disp_1_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "31bf655e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_2_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k2_M,\n",
    "                             display_labels=neigh_M_2.classes_)\n",
    "disp_2_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ed547797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_3_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k3_M,\n",
    "                             display_labels=neigh_M_3.classes_)\n",
    "disp_3_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5ea42648",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_4_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k4_M,\n",
    "                             display_labels=neigh_M_4.classes_)\n",
    "disp_4_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "1cf29661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_5_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k5_M,\n",
    "                             display_labels=neigh_M_5.classes_)\n",
    "disp_5_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ad401eeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_6_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k6_M,\n",
    "                             display_labels=neigh_M_6.classes_)\n",
    "disp_6_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "56afaa3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_7_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k7_M,\n",
    "                             display_labels=neigh_M_7.classes_)\n",
    "disp_7_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b144d9aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_8_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k8_M,\n",
    "                             display_labels=neigh_M_8.classes_)\n",
    "disp_8_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "dc56d583",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_9_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k9_M,\n",
    "                             display_labels=neigh_M_9.classes_)\n",
    "disp_9_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "e244184a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_10_M = ConfusionMatrixDisplay(confusion_matrix=con_matrix_knn_k10_M,\n",
    "                             display_labels=neigh_M_10.classes_)\n",
    "disp_10_M.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "e94dc9f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_5_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree5,\n",
    "                             display_labels=clf_5.classes_)\n",
    "disp_5_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "347ce0af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_8_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree8,\n",
    "                             display_labels=clf_8.classes_)\n",
    "disp_8_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "d0bba0d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_10_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree10,\n",
    "                             display_labels=clf_10.classes_)\n",
    "disp_10_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f2cd5d91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gJTikya3NDSxAoBDCglZzO4KmvjfX9flc4ArX68uBz6SUFVLKFCAZTb3vtNR7Q7qmqpaNCreOsVidDLq4gJU/RLh9nlYdK7jmniymjW/P4/9qT9suZZgtkk/fjOPGhzP+esCpnrAe1MrNZujQvZQfPoph4sjOlJeaGHdvlvsGTkFAkIMnZu3lnWdbU1ps4ceP47j1/F5MvLQ7uVlW7ng81Sf7RhIQ5ODJOQf531MJlBb7tszHiGtrNE6n4J6LOvOvvl3o3KuU1p3LfLZZb6paCGzS7NYGxFT9vl3bndW+ysPAy0AqkAEUSCmXAnFSygxXmQygqpPdLaW+mtR7gKupqmXFPUGW/hcUkbw9iPxszxSERl2Xy1tL9/LKN8mERjiIa1lJZqofd484ixsHdOFYhpWJIzuTm2UhJsHGsSPV9rMzrETHuf90zM6wcizDevxJverHCDp09/6mNlucPDFrn6bWtURrmuVnW3E6haaV+lksnXoUe22/irxsC1Gx2veMirWRn+N7c81skTw55yC/Loh0u8+0NvS+tmeSkkIzW/8Mof8Fvq+5rj9VLW2QwZ0NyK76fbu22VU2hBCRaLWytkACECyEuL6W07ql1FeTeg9w3nD+FXkeNU+ryM/WfqxZ6VZW/xTOiH/m8cX2nXy0bhcfrdtFs+Y23lqSRFSsnUEXF7Liu0gqKwSZqX4cTvGnc2/3RXXzjlnJPuJHi/Za07fXOUWk7vVWhk/ywIsppO0P5Jv3qgcUIptV39xDRuZyaK/veg5rloUz4uocAEZcncOfPqs0SSa/kkbavgAWzPZ99BT0vrbGEx5lJzhMa0L7BTjpc24xacm+DwTUn6qWwCnd2+pgBJAipTwmpbQBC4AhwFEhRHMA19+q6rnHSn2NapoIgH+Akz7Dinjj0ZZ1Fz6J/9zehqI8C2ar5N7n0wmNOH2/TZvO5Qy7LJ87zz8Ls1kr78kIKsBbTyby6IxDWKySzFQ/XpncymOfAbr2K2bEVdmk7Alk5g+autbcl1ty3mXZtOtSChKOpvvz5uNtPbI7dWYKPQYXaQpS67cz75XmfD4znsf/l8Ko8TlkHfZj+gTPbP7F9wEljLg6jwO7Api1LAmAD15ozvpfw3yyq9e1PRm9VLVqEhVnY8obqZhMYDLByu/DWfuzb98f6ltVS5e6USowSAgRBJQBw4ENQAlwE/Ci6+93rvILgU+EEK+i1fg6AutqO4FhqlpCiE+B84EY4CjwtJTyvdqOCRNRcqBphO6+NKp0Sf7G1ESclQZ1PjsN6tw/VQeTHpyJTqoGjB6qWi27hcnJXw5yq+zkLstqVdUSQjwDjAPswGa0KSMhwBdAK7QgeLWUMtdV/nHgVlf5B6SUi2o7v2E1OCnltUbZVigU9Yl+qvVSyqeBp0/aXYFWmztV+elArfKjNWl0TVSFQlG/aLKBKuGlQqFogkgpcKp0SQqFoqmi8sEpFIomiZYPTqVLUigUTRKV0dcrhBCGTJMY2aKv7jYBcr9vr7vN6CsP6m4TwDmkuyF2Tau2GGKX/rokoPkr67brb9NkUIe7UVNwfESilO0VCkUTpWotamNABTiFQuExSpNBoVA0SbR0SaqJqlAomiiqD06hUDRJtGwiqomqUCiaINpSLRXgdOF0ilJV/OP2DG5/LJVxfftQmOd9sr8rbz/K6GtzkBJS9gTyykOtsVW4908UxQ6C3zyKObUCEJTcH4fIsRP4SQ7mtEoKX22Fo6MrjY1damX3lyMcUHFhGOXXRNVq/8GXUhh4YT75OVYmXFw9fWLszUcZe2MWDges+zWC916oO4XUQ3evZmCfdPILArhzyuUAPP7Ab7RM0HL5BwdVUlLqx4RHxhIaUs5Tk3+jc4dslq5oz8z33csgURNfFKUm3/snA/tpvt51/2UAXD9+K6MvSqagULueH8zvxfqNiYSGVvDkIyvp1CGHZb+24613a81kfVqMUqm64rYsRl+bjRCw6JMYvnnPPSW4uqgPVS1UDQ6EEC2Bj4B4wAnMllK+4amd0ylKpSYHEdO8gt7nFHDUTeGZ0xEdX8kVtx7jjgu7UFlu4vG3D3D+2DyWfeleHrCg2cew9Q2m+LEEsElEhRMRYqL4sQSCZx49oazfqiKwSQrfagPlTsLvOUjleaE4404fnJd9GcP3c2OZ8mrK8X09Bhcy+KJ87h7VFVulifBo99IhLV3Rnu8Wn8UjE1cd3zf99fOOv77rhvWUlGrX02Yz8+HnvWjbKp82LfPcsn8yvihKLf21HQt/6sTD9/9xwv5vFp7NV991OWFfZaWZuZ/0pE2rfNq0yvfKV6NUqlp3LmP0tdlMGnMWNpvg+fnJrP01jCMpvtmtL1UtaDwrGYwMw3bgISnl2cAgYKJLFccjalOUuuuJQ7z3Yss6kha7h9ki8Q9wYjJL/AOd5Bx1szZY6sCys5SKi10JDK0CGWLG2dIfZ4tTBF4BotwJDomolGARyKDa/w071oVSlH/is2jM9Vl8MSseW6V2bEGOe/5u3x1PUfHpJlNLhg0+yPLVWpLL8gorO5PiqKz0Zc6T94pSO3bF1eLriVRUWNi5O5ZKm/e+GqVS1apDObs3B1NRbsLpEGxbE8LQUfk+260vVa2qUVR3tvrGyHxwGWhCEkgpi4QQu9EEInZ5a7OmotTA4XlkZ/qRssd3daKcTD++eieOeWt3UFFuYtPKUDatdC/jqjnThgwzE/z6UcwpFdg7+FN6ZywEnDpoVQ4NxbqmhIgbDiAqnJTe0QwZ6vmPMrFtOV0HFHPTw4eprDAxZ3oL9m4L8dhOTbqffZT8gkAOZ/qebbYmJpNk5pK9JLSp5PsPo31WlLrs0iSGX3CAfcnRzP6gD8Ul+qx+OZVK1Vl93E9TfzoOJgVw86NHCI2wU1luov+Fhezb5puyGBjnrzs0libqGfFSCNEG6A2sPcVnx1W1KmtR1aqpKOWwC8ZPPMy811vo4l9IuJ3BF+dz0+CuXNe3OwGBTi68Kse9gx1g3l9B+SXhFL7ZGvxNBH55erVEy95yMEH+R+3If68tAd/kYcqsPG3502G2QGi4nQeuOJs5z7fgsVn78bUqe8HQlOO1Nz3RU1Hqh0WduGXC5dzz4KXk5gVy5y2bdPPTKJWqtORAvpgVxwuf7mP6/GRSdgXisPteu6lPVS2dNBkMx/AAJ4QIAb5GSy9cePLnNVW1/E6jqnWyolTz1hXEt6hg1o/b+XDlZmLiK5nx/Q4iYzwPFAC9zykiM82fglwrDrtg9aIIuvQtcetYZ4wFZ4wFR2dN8KVyaAjm/acP1H6/FWLrG6w1TSMs2M8OxLLPPbnEmmRnWFm9OBIQ7N0agtMpCI/yXsPUZHJyzoBUVvzRxmsbdaGHolR+QSBOp0lTElvWgc4ds3Xzz0iVqiWfxXDv6LOZ8s9OFOWbOZzie62zvlS1JGCXJre2+sZQD4QQVrTg9rGUcoF3Vv6qKHUwKYhrB/Tl5mG9uXlYb7Iz/bjvsm7kZXs32JB1xI+ze5fgH+AEpKbS5KbqkYy04IyxYkrXbjTr1lIcrU7vh7OZFeu2Uu1RW+7EklSO41R9dXXwx9JIeg7RAkVi23KsVicFud73OPTpnkHakXCyc31v8tdEb0WpqMjqJtiQgWkcTI3w1cXjGKlSVTUI1CyhkqGj81nxXaTPNutLVQu0Jqo7W31j5CiqAN4DdkspX/XWzukUpdaviNDHUSBpczC//xTBW4t347ALkncGsejjGLePL53QjJCXM8AuccZbKXkgHusfRQS/cwxR4CD0mcM42vpT9GwLyi+NIOT1TMImHkJIqBgRhqNt7U/zqW/up8fgIsIi7cxbs4X5ryWy9IsYJr+Uwv+W7sBuE7z8UDvcUaZ+7P7f6NHlKOGh5Xzy9pd89EUvFi/veNrm6byZXxEUZMNqcTKkfxpTn7uI1MMRbl8bXxSlpk7+nR7djhIeVsH8OQuY91kPenQ7Svu2eUgJR7OCefPtgcfLz539DcGBNiwWJ4MHpvPYvy8kNd19X41UqXpq9gFCIx047IKZj7ekuMD3n169qWo1kOanOxipqnUO8DuwHW2aCMBjUsqfTndMuClaDgq4RHdfjFKUyl3YeNIlOQZ6PIDtFoalSxpgTHqnv3u6JD1UtSLPipUXvv9Pt8ouGPp2rapaRmPkKOoq3KlSKBSKRkdjqcE1+JUMCoWiYaESXioUiiaLRGB31v8AgjuoAKdQKDymsSzVUgFOoVB4hlRNVO8wmxAh+s7DAjCVej9zvjZi/pmqu82RW7J0twmw9LxQQ+waJYtiPnDEELsNU8alcaH64BQKRZNGBTiFQtEkkQgcapBBoVA0VdQgg0KhaJJINcigUCiaMlIFOIVC0TRpPIvtG0WA+2DRH5SVmnE4BE6H4P5r+x//7KqbUrn9oWTGDzuHwnz30w7FNK9gykvJRMbYkBIWfRbHd3Ob0+7sEu579gBWPycOh+Ctp9uyd5t7Uyz0FMgpTjGx5aHqKTOl6SY63ltO/lYzJSna4m57kcASKjlnQRHOStjxTCAFOy0IAWdPKyN6QN354U51bW+dnMzA87Kx2wQZaYG89tTZlBR5l2fMF9GZM+0rGCfi4ouoUW3Uj+iMqsEhhAgAVgL+rvN8JaV82lt7U2/r/ZcAFhNXTu9BuWQd8Tx5oMMuePeF1uzfGaKJ2Xy7jc2rw7nt0UN8/GYLNqyMpP95edz2aCqP/qur+zZ1EsgJaevknAVavjfpgF8vCCN+RCVtb6zO/rL7vwFYQrT3aV9pds/9toiKHMGGCcEM+bwY4cZv6ORru/nPSD58ox1Oh4lbHkjmmtsO8cHrHdzy+2R8EZ05074aJeLiq6jRmfa3LqQEh7NxBDgjx3orgAullD2BXsAoIYTnunO1cOcj+3j/tfZePU00MRtNw6CsxEza/kCi4yqREoJCtOmgQaEO98VnME4gJ3uNhaCWTgITqg+WEjKX+JFwqWa/eL+Z6EFajc0/WmINlRTs8C6Nz+Y/o3E6tFtjz7ZwYuI8zzhcjfeiM+6gp69Girh4LWpUC/UlOgPaKKo7W31jZLokCRS73lpdm1e3tgSee2eLlqb6ywQWf53IwPOPkZPlT8pe32foxyaW075LCUlbQ3jnuTY898Fubp92CCEkD13jXV4yPQVyMhZZSbjkxHTseRvN+EU7CW6tpdoL7ewg61crzUfbKM80UbDLQnmmCXrUPnf/VNe2JhdfeYSVi31r9uglOmO0r0aJuPgialQb9SU6I1FNVACEEGZgI9ABeEtKeUrRGeBOgADTqVWhptzYl9xj/oRHVTL9nS2kHwxi/B2HePyuXj77GBDk4Im39vLOc20oLbZw44NpzJ7ehtVLojn3kmweeGE/j93kWbLIUwnkPH7TWV7556yErOVWOj9QfsL+Iz/5kXBJdSLPFldVUnLAxB/XhBKY4CSylx1hqft5cqpru2Ojlk573B0HcdgFy3/0LcBVic4Ehzl4+r0UWncu41BSoMd2jPbVKBGXmqJGxYUWnvjfAS68KodfF/jWRK0v0Rk9BxmEEBHAHKAbWuy8FUgCPgfaAAeBa6SUea7y04Db0FbdTZJSLqnNvqHTkaWUDillL6AFMEAI0e0UZapFZ0yn7jvIPab1sRXk+vHnrzF075tPXGIZb325jg8W/UFMXAVvfr6eyGjPmidmi5Mn3krSxGyWajfbiKuOsXqJpjT/+0/RdO5ZXJuJU9vUUSDn2CoLYV0c+MdU37lOOxz92Ur8qGobJgucPbWccxYU0XdmCbYiQVAr56lMnsDJ17ZTN63fb/jYDAYMy+alaV3RK2+pr6IzRvtqlIiLL6JGtVFfojOgBVJ3Njd4A1gspTwL6AnsBqYCv0gpOwK/uN7j0lUeD3QFRgGzXJWo03JG1ltIKfOBFWhOeYR/oIPAIPvx170H57J3ZxjXnX8ut4wewi2jh5B91J9J4/qTl+PJYIPkgRf2k5YcyDfvJxzfm3PUj+4DNfGvXoMLOXzQkw5b/QVyMk6qqQHk/GkhuK2TwPjqO8hRBnZX6yT7DwvCDKEdag9wp7q2h5KD6Ts0h6tvOcQzk3pQUe5bOm69RGfOhK9Gibj4ImpUH/66g5TCra02hBBhwDA07RaklJWuWHE5MNdVbC5whev15cBnUsoKKWUKkAwMqO0cRo6iNgNsUsp8IUQgMAL4P0/tREZV8sTrWh59s1myYlEcG1f7VrUH6Nq3iBFXZpOyJ4iZC7cCMPeVVrz5eDvuevIgZrOkssLEm4+3c9+mzgI5jjItWHV9+sR+lYxFfn/pk6vINbHhzmAwQUCsk54v1l1DON21nfPDn1j9nEx/ZwsASdvCmPmcd01sX0RnzrSvRom4+CpqdKb9rQttFNXtulGMEGJDjfezpZSzXa/bAceAD4QQPdG6s+4H4lzC8UgpM4QQsa7yicCaGrbSXftOi5GiMz3Qoq8Zrab4hZTyP7UdE25tJgdH/kN3X6RB6ZJw1t0E9JSRGzN1twmw9Dz9BXIAHNluCmR7iDnG94fYqTDE37+Z6ExghwTZ9uU73Sq7+8pnTis6I4Tohxawhkop1woh3gAKgfuklBE1yuVJKSOFEG8Bf0op57v2vwf8JKX8+nTnN3IUdRuamr1CoWhi6DSKmg6k1xh8/Aqtv+2oEKK5q/bWHMiqUb5ljeNbALUmDmwcOU8UCkWDQeJe/1tdQVBKmQmkCSE6u3YNB3YBC4GbXPtuAr5zvV4IjBdC+Ash2gIdgXW1naNRLNVSKBQNCx07tu4DPhZC+AEHgFtwdWkJIW4DUoGrAaSUO4UQX6AFQTswUUpZazteBTiFQuEZEqROS7WklFuAU/XRDT9N+enAdHftqwCnUCg8Rq1kUCgUTZYzs2LCd04b4IQQM6ilqS2lnKS3M9LhwJmv/2Jh6TBGS0kO6qG7zaXn6a8qBlAw35gJoCGjjJkmIhNj6y7kDUZME5H6TxdqyDSVtagbavlMoVD8XZFAYw9wUsq5Nd8LIYKllL4voFMoFI2extJErXMenBBisBBiF9oiWIQQPYUQswz3TKFQNFAE0uneVt+4M9H3dWAkkAMgpdyKtkBWoVD8XZFubvWMW6OoUso0cWLyKWN67RUKRcNHNo1BhirShBBDAOmabTwJV3NVoVD8TWkAtTN3cCfATUBLSpcIHAaWABONdKomD750kIHDC8jPsTDhohPFX/5xZyZ3PHGYa3r2pDDPtyl9c9fspKzYjNOpicfcd0nnug8CJt+zmkH9DpNfEMCdD449vv/y0bsZOzoJh1OwbmML5szrC8D4K7czcngyTqdg1vv92bil1mwvx9FVUarYQcDr2ZgOVoKA8gebYVlfivnPUjCBjDBT8VAzZLQF86ZS/N7PBbsEi6Dy9mgcvTzLxuut8tODD65lwIAj5OcHcPfdowG44YZtDB58GKdTUFDgzyuvDCI3V/Pnmmt2MXLkAZxOwdtv92HTpuYe+emLr7XRon05j7198Pj7+FaVzHs5nm/m+D4Vpr5UtfRKgmo0dUYFKWU28C9vT+DKuLkBOCylHOPp8cu+jOb7ubFMeS3lhP0xzSvpc24RR9Pdlwqsi0eu7uBxoFy2ogMLF53FI5NWH9/Xs1smgwekMWHyZdjsZiLCtHRNrVrkc945B7nzgbFER5Xy4tPLuPW+K3C6mVtLL0Up///lYO8biP2JOLBJqHBS2ToCbtIyGVu/LcDv4zwqJjVDhpkpfyYeGW3BdLCSgMczKP24tdvXxxflp2XL2rJwYUemTKnOdP/112czb542/3Ds2L1cd90OZs7sT6tWBZx3XioTJowmKqqMF15Yzu23X+r2tfXV19pI3x/APRefdfwcH2/cyepFET7ZNNJft2gkU//cGUVtJ4T4XghxTAiRJYT4TgjhfhZILYGd103aHetCKcr/a76tu55OY87zifVeVd6+K46i4hMzCY8ZmcTn33TDZtf8zi/UahhD+qfx26o22OxmMrNCOZIZSucO3k889UpRqsSJeXs59lEusR6rgBAzBNe4Fcqdxx/Qzg7+yGgt6DtbWxGVEirdv+i+KD/t2BFLUdGJD7DS0uoaakCAnSpHBw06zG+/tcJmM3P0aAhHjoTSqVOu23766qu79DqniIxD/mS5KR9ZG/WmqlU1D86drZ5xp7ryCfAWcKXr/XjgU2BgXQcKIVoAl6Itjp3spY9/YdBF+eRk+pGyO0gvkyAFz3+6HyT8OD/ap4yrLZoX0u3sLG65dguVNjOz5/Zl7/4YoqNL2bO32fFy2TnBxES5p4Kkl6KUKdOGDDfj/8oxTCmVODv4U3F3NASY8PswF8vPRchgE2X/l/CXY82rSnC09wc/929cI5SfbrppG8OHp1BS4sfUqRdo54kuY8+e6iSZ2dmBxMR4luj0TKhUnX95Piu+jdDFVn2pakETmgeHlvV3npTS7trm43696XXgEWqp0Aoh7hRCbBBCbLDJumsg/gFOxt+bwUev/PUH6AsPXtGRe0d15vHr2zH25my6DfRMbKYmZrMkNLiSSdNG8+5HfXnioZVoWbT+irsXcsqNfZk0bgBP3dOTMeMP061v3vHPPFKUcoApuQLbmDDK3mqBDBD4fZ4PQOXNUZTOb439ghD8vj+xJmA6WIn/+7lUTPIs8Buh/DR3bg9uvPFyli9vzWWX7XOd569GPT2P0SpVFquTQRcXsPKHCF3s1Z+qFo1mmshpA5wQIkoIEQUsF0JMFUK0EUK0FkI8AvxYl2EhxBggS0q5sbZyNVW1rKJu0ZjmrSuIb1nJ24t3MXf1dmKaVzLzp11ENrPVeWxt5LqEeAtyrKxeFM5Zvbx/Eh7LCWLV2laAICk5BqeE8LAKsnOCaBZdvRgkJrqEnFz3aqF6KUrJGDMyxoLzLK2fxn5uMKbkEx8s9gtCMK+q9lMcsxPw7FHKp8QiEzxTbTJS+WnFitYMHZqunSc7iGbNqv9nMTFl5OR4NhhitEpV/wuKSN4eRH62PjbrU1WrsTRRa6vBbUQbHBgH3AUsR1PGuhstKV1dDAXGCiEOAp8BFwoh5vviLMDBpEDG9+nJTUO7c9PQ7mRn+HHvJV3IO+b9P9Y/0EFgsOP4677nFXEwyfuO2j/WtaRXd01bIbF5IVaLk4JCf/7c0JLzzjmI1eIgPraIxOZFJCXXrT2gp6KUjLIgm1kQadoPw7K5DGcrP8Th6geEZU0psqWr6VPsIOCpTCpuicTZ1fNrorfyU0JCteTgoEGHSU/X+hLXrEnkvPNSsVodxMUVk5BQxN69UfXq68mcf0Webs1TqF9VLSHd2+qb2taitvXFsJRyGjANQAhxPjBFSnm9p3amzjhAj8FFhEXambd2G/NfTWDJ574rEtUkspmdp9/TRmnNZlj+bQQbVrin/DTtwZX06HqU8NByPp79FfM+78mSXzvw0D1/MPu1hdjsJl6aMRQQHEqLYOUfrXn3je9wOEzMfHegW6N8eitKVdwTTcB/s8AGsrmF8snNCHj9GCLdBkIg4yxU3KddY+vCQkxHbPh9kg+f5ANQ/nxzZIR7AdUX5adHH/2DHj2yCAurYN6875g3rxv9+2fQokURUkJWVjAzZmi5ElNTw/n995a8885POBwmZs3q69EIqq++1oV/gJM+w4p449GWdRd2k/pS1UIKaADLsNzBLVUtl2BzF+D41ZNSfuT2SaoDXK3TRMJMUXKQZaS7Zt2mMaVLsuxL190mGJku6YAhdk09zzbErnOrAXPUT9UZpgcGdKjpoarl37qlbD7tfrfKHrr74dOqap0J6hxFFUI8DZyPFuB+AkYDqwC3A5yUcgVa81ahUDQFGkDz0x3cqcP/Ey0/eqaU8hagJ+CJhLxCoWhqNJJRVHfmwZVJKZ1CCLsQIgxNo9CTib4KhaIp0RQSXtZggxAiAngXbWS1mDq0CBUKRdOmIYyQuoM7a1Hvcb38nxBiMRDmUq1XKBR/Vxp7gBNC9KntMynlJmNcUigUDZ2mUIN7pZbPJHChzr5oifTsdt3NGoX4c6vuNo3KJGqU+tWzKesNsfukT7MwT4+lZQvdbTqPZetuE9AmZeqMKPVsbuBpaex9cFLKC86kIwqFopHQQEZI3UEJPysUCs9RAU6hUDRVRCNJeKkCnEKh8JxGUoNzJ6OvEEJcL4R4yvW+lRBigPGuKRSKhoi7mUQawkirO0Mqs4DBwLWu90VoGX4VCsXflUaSD86dJupAKWUfIcRmACllnks+8Iwz+dVUBo4oIj/bwl0Xuqd65Q7NEip5+I1UImPtSCf8ND+ab99rVveBZ9hmFUYpKfli94/34tjweTOEkMR1LuPKl1Kw+kvWfBjLmo9iMVmg8wX5jJyWTmmemc/u6cDhbcH0/kc2Y/6T6rGvet0Lia2KmTp98/H38YmlzJ/die0bo5g4dQd+fk4cDsGs/3Zj764It+3GNK9gysv7iWxmQzoFiz6L5bsP449//o/bM7j9sVTG9e1DYZ77uQytfk5e+mQHVj8nZotk1eJo5r/ZinNGZXP9pDRati/jgX/0YN+OELdtekUDqJ25gzsBzuZSxpIAQohmuKmp40p2WYQ2vcvua9qUpZ9HsfCDGB5+I80XM3/BYRfM/k8CyduDCAx2MHPxXjatDPVJncgIm2CckpIvdgszrfz5YRyTlm3HGiD5bGJ7tn8fRURiJbt/juDeRTux+EuKs7XbzeIvGT75MEf3BpKV5FnW3Sr0uhcOp4Zw3w3nAto1+OiHX/hjRRyTHtvOJ3M6svHPWPoNyeKWe3cz7Z7Bbtt12AXvPt+a/TuDCQx28ObCHWxeFUZqchAxzSvofU4BR70QnrFVCqbe2JXyUjNmi5OXP9vBhpWRHNoXxLMTz2LSs/s9tukNDaH56Q7uNFHfBL4BYoUQ09FSJT3vwTkukFL20iMn1I61IRT5qH96KnKzrCRv11KHl5WYSUsOIKa5jynQDbAJxikp+WrX6RDYyk047GArNxEWa2Pd/FiGTcjE4q/9GkJitEncfkFOWvcvxuLv/VCcEfdCz/7ZZKQHcSwzCCkhKFjzNzjERm62Zw+QvGN+7N8ZDFT//6Pjtf//XU8c4r0XW3pZCxKUl2oTgC0WicUikRLS9gdxOMW7h4XHSG0U1Z2tvnFnLerHQoiNaCmTBHCFlLLJKtvHtaikfbcy9mzST7FLT5tGKSn5Yjcs3sY5d2TyytCeWAKcdDi3kA7DClnyYksOrg/h55cTsfg7GflYOi16ltRtsJ4YdtERfluqiRm9+1oX/vPGOm6btBshJFPuGOK13djECtp3LSVpSzADh+eRnelHyp5gr+2ZTJI3v91KQqtyfvg4nqStoV7b8pqmUoMTQrQCSoHvgYVAiWufO0hgqRBioxDiztPYr1bVwg1dTwMJCHLw5JyD/O+pBEqL9Vkmo7dNo5SUfLFbVmBm97IIJq/cxiNrtlJZamLLN9E4HVBeYOHOb3Yzclo6n9/bvsHKzVksTgaee5RVvzYH4JKrUnn39S7cPHY4777ehQce9y6/RECQgydm7eWdZ1vjsAvGTzzMvNd9Wy7mdAruHduLG87tR6cexbTuWA8PjUaSD86dJuqPwA+uv78AB4BFbtofKqXsg5YFeKIQYtjJBU5Q1arHPJpmi+TJOQf5dUGkLqrjRtk0SknJF7v7V4UR2bKC4Gg7Zquky8g80jaFEBZvo8uoPISAFr1KECZJaW7DnHrZb0gW+5PCyc/V7sHhl6bzx3JtUGDVL83p1NXzbgCzxckTs/axfGEMfyyJ0hThWlQw68ftfLhyMzHxlcz4fgeRMZV1GzsFJUUWtq0Np9+wfK+O94UmM01EStldStnD9bcjMACtH65OpJRHXH+z0PrxGuj8OcnkV9JI2xfAgtn6jHQaY9M4JSVf7IYnVJK2OYTKMhNSwoE/wmjWvoyzL87jwB9a8yn7gD8Om4mgqIaZTGHYxdXNU9BkGrv3yQWgZ78cjqR52r0geeDFFNL2B/LNe1qt8GBSENcO6MvNw3pz87DeZGf6cd9l3cjLdn+wITzKRnCoqy/T30HvIfmkHThDfW8GIYQwCyE2CyF+cL2PEkIsE0Lsc/2NrFF2mhAiWQiRJISoU8DF48eplHKTEKK/G04HAyYpZZHr9cXAfzw9X02mzjpEj8HFhEfZmb9hF/NeiWPJp3XL7tVF1wEljLg6jwO7Api1LAmAD15ozvpf3VPWOlM2wTglJV/stuxdQtfRubw9pgsmi6R5l1L6XXsMBHzzSFtmjOyK2Sr5x8sHjjeFXzmnBxXFZhw2we5lkdz0URKxHcvd9lfPe8Hf30HvAdnMfKH78X1vvtCDuybvxGSW2CrMzHjBM4Ghrv2KGXFVNil7Apn5g6aINvfllqxfEeGVj1VENqtkyn+TMZkkwiT5fVEM65ZHMeSiHO5+KoXwKBvPvLubA7uDeeLWLj6dq1b0rZ3dD+wGqn4cU4FfpJQvCiGmut4/KoToAowHugIJwM9CiE5SytMm4alTVUsIMbnGWxPQB4iWUtYaPYUQ7dBqbaAF0k+klNNrOyZMRMmBYnit/igaFsalS6rzGeoVf/d0SWtKf6DAke3TDNyAhJayzZ2T6y4IJD0zuVZVLSFEC2AuMB2YLKUcI4RIAs6XUmYIIZoDK6SUnYUQ0wCklC+4jl0C/FtK+efp7LtTg6s5RGNH64v7uq6DpJQH0ARqFApFU8P9GlyMEGJDjfezpZSza7x/HXiEE+NMnJQyA8AV5GJd+xOBNTXKpbv2nZZaA5xrgm+IlPLhWr+CQqH42yDwaAAh+3Q1OCHEGCBLSrnRpZ3szqlPplZPaktZbpFS2mtLXa5QKP6m6NMHNxQYK4S4BE1UPkwIMR84KoRoXqOJmuUqnw60rHF8C+BIbSeobRS1SjlrixBioRDiBiHEVVWbV19HoVA0fnTKJiKlnCalbCGlbIM2ePCrlPJ6tPm2N7mK3QR853q9EBgvhPAXQrQFOlKHwp87fXBRQA6aBoNEqyZKYIEbxyoUiqaIscuwXgS+EELcBqQCVwNIKXcKIb4AdqGNB0ysbQQVag9wsa4R1B1UB7YqGsAUPoVCUV/oPYlXSrkCWOF6nYO2NPRU5aajjbi6RW0BzgyE4EXHntcEB0IPz+YbucXa7frbBEQv/ecZmdIydbcJIBP0m2xcE6PUr/bNGGiI3Y73rdXdpinUmLWgzqIi3W1KqVPVq5FUcWoLcBlSSp8m5ioUiiZIA1ln6g61Bbj6T8epUCgaJA1hnak71Bbg1JIChUJxahp7gJNS5p5JRxQKReOhISSzdIeGmbtGoVA0XJpIH5xCoVD8BUHj6aBvkAFu8sQ/GNgvnfyCAO56YCwA14/byugR+ygo1FL4fPBxb9Zv0tbZtm2dx6QJawgOtOGUgvseuQSbzbNMDMFhdh58OY02ncuREl59qBW7N9adVvrB+9cwcMBh8vMDmDDxUgBuvH4rgwcdxikhPz+AV14bRG5uEBaLg0n3rqdjxxykU/C/2X3Ztt095aoPFv1BWakZh0PgdAjuv7Y/t05OZuB52dhtgoy0QF576mxKimpPUvngg+sYMPAI+fn+3D1hNAC33b6FgQOPYLebyDgSwquvDqCkxI/YuBJmz15Eero2DWLPnmhmzvBMWkMXdTGnpOVLO3CE+3FkQmf80kuI/TwFk00iTYKsa9pQ0SYES04FradvxRar5UcrbxNC1njP5rHopVhm9XPy0sfbNPUrM6xaEs38Ga2Pf/6PW9O5/dGDjBs00CNVrZoYpTLnFqoGB0KICGAO0A3tktxaW2qTKpYub8/CRZ15eNLqE/Z/88PZfPVd1xP2mUxOHrl/FS+9OZQDB6MIDanA4fD8+XL3fw6zYXkYz93ZFovViX+ge50My35ux/c/dGLK5Oqv9dXXXfhovpZI5fLLkvjXtTuY8dYARo/UFI/unngp4eHlPPef5Ux6YBTSTf3Iqbf1pjC/Ojni5j8j+fCNdjgdJm55IJlrbjvEB693qN3fZW1Y+H0Hpkypng+2eVM8H7zfA6fTxK23bmXcuN28/77mf0ZGMPdOrDOv4GnRQ10sYkUmtrhATOXapPWY71LJHdWC0q4RBO3MJ+a7VA7fr81JtMUEkDq1e23mToueimW2SsHUm7pXq199so0NKyPZszWMmPgKeg/J5+hh3zJYG6Uy5w6NZRTVnZTlvvAGsFhKeRZa6iS3xGp27IqjqMi9f37fXhmkHIrkwMEoAIqK/XE6PftaQSEOug8sYfGnmg27zURJoXuxf8fOWIqKTszIWlpW/UQOCLAf1yFo1aqALVu1GkFBQQDFxX507Jjjka812fxnNE6H9l33bAsnJq5uTYsdO2L/cm03bYo/fs327IkmJsZ3EZsqfFUXs+RVELwzn4LBNWt94niwM5XZcYTrI9Orr2LZqdSvtAfZXdMO8N5LbXyuBRmlMucWjUSTwbCrI4QIA4YBNwNIKSsB75LPu7hsdBLDzzvAvv3RzP6wL8Ul/rRIKERKmP7kz4SHV/DbqjZ8+W3Xuo3VIL51BQU5Fh56LZV2XcrZty2Qt59KpKLM+4SDN924lREXplBSYuXRadqMmwMpkQwelM6K31rTrFkpHTvk0iymlL1767Yngefe2YKUgkVfJrD46xPTYF185RFWLvZdAPrii1P4bWV1wob4+BJmzlxCaamVuXO7s3On9ysivFEXi1lwiOzLW2GqqF5yeOwfrUmctYeYb1MRUpI2ufr/bc2poOX/bccZYCbn0haUd3A/g7LeimUmk+TNBVtIaFXGD580J2lbKAMvzCE7y4+UJIOFmY1ENp5RVCNrcO2AY8AHrnzrc1ypy0/gBFUt2+nVgX5Y3Ilb7rmCex4aQ25eIHfevBEAs9lJt7Oz+L/Xz+Ghx0YyZGAqvbpneOSo2Qwdupfyw0cxTBzZmfJSE+Puzar7wFqY+1FPbrj5CpavaMNll2kRbMnSdhzLDmLGG4uZcOdGdu2OweFmbXPKjX2ZNG4AT93TkzHjD9Otb97xz8bdcRCHXbD8R98C3Pjxu3A4BMt/1fqK8nIDuPGGy7j33pHMnt2LR6f+SVCQd9qu3qiLBe/IwxFipaLVibdNxKqjZF/VmoPP9ubYVa2J+/gAAI4wKyn/6UXao93JvrI18XP3YypzXwNCb8Uyp1Nw7xW9ueG8AXTqUUybziWMn5DGvDda131wQ6eR1OCMDHAWtPTmb0spewMlaLnVT+AEVS3r6Tv18wsCcTpNWg1mWUc6d9TSRB/LDmLbzjgKiwKoqLSwflMiHdp5NoUvO8PKsQwrSZu186/6MYIO3cs8snE6lq9owzlDtD4Sp9PE7Hf7MvG+S3jm2fMICbFx5LB76xhzj2nNyoJcP/78NYZO3bR1isPHZjBgWDYvTeuKL2NbI0akMGDgEf7730HH7dhs5uPN2eTkKDIyQkhM9Hx9pLfqYgEHigjekUebpzcT/0EygXsLiZubTOjabIp7ajokxb2j8E8tBkBaTTiDte6BilbB2GL8sR5zX+fBKMWyKvWrwcNzNFWt7zbz4S/riYmvYMaCLV6ratUnTUZVywfSgXQpZVVv9ldoAc8roiKrmwpDBqZyMDUCgI1bEmjbJh9/Pzsmk5MeXY6Smu6ZylTeMSvZR/xo0V77MfQ6p4jUvd53ACckFB5/PWhQOmnpWjPJ39+Ov79Wo+jdKwOHQ5CaVrev/oEOAoPsx1/3HpzLoeRg+g7N4epbDvHMpB5UlHvfnO7bN4Orr97DM/8+h4qK6l6L8PByTCatLRIfX0xCQjEZGZ4KFnuvLpYzthUHn+3DwWd6k3lLB8o6hXH0pg44wq0EJmuBNnBvIbZm2iCAucgGTu1XZckux+9YObZo9wcI9FQsC4/8q/rV/l0hXDtkIDcP78/Nw/uTnenPfVf18khVq8HQSGpwhvXBSSkzhRBpQojOUsoktKVfu9w5duqDv9Oj21HCQ8uZ/+7XzPusBz26HqV92zykhKPHQnjzf1q2ieISfxYsPJsZ//0JCazbmMi6jZ4Li7z1ZCKPzjiExSrJTPXjlcnuaVtPfWQ1PbofJSysgnlzv2H+xz3o3+8ILRILkVJwNCuIGW9paokR4eVMf3Y5TinIyQnkpZfdU0uPjKrkide1jChms2TFojg2ro5mzg9/YvVzMv2dLQAkbQtj5nNn1Wrr0al/0qNHlubvvIXMm9+NceN2Y7U6mP78b0D1dJBu3Y5xw407tKkpTsHMGX0pLvYs8BuhLnb02nY0+/ogwgHSKsga3w6AwP1FRP2YDiaBNEHWuLY4g92/xfVULIuMrWTKi3sxmSVCwO+LY1i3IsorW6fDKJU5d2gItTN3qFNVyyfjQvRCmybihyYYfYuUMu905cNCEuXAHhP0d0SlSzIsXZJz2x5D7Kp0ScakS1orf6FQ5vo0TzeoWUt51lXuqWptnl27qpbRGDrGLKXcAtTbl1MoFPrjoehMvdIgVzIoFIoGjgpwCoWiqSIM7NrSExXgFAqFZzSQEVJ3UAFOoVB4jOqDUygUTZbGslSrYQW4kjJYs62+vXAbuXmn7jZrFXn0hWzvF/XXhjku1hC7RkznAHjp4BrdbT7cZpDuNgEs8b6vLT4Zka3TT17V4BQKRZOkgSzDcgcV4BQKheeoAKdQKJoiaqKvQqFo0ghn44hwKsApFArPUPPgjEMvUZAzYdcoX40SG9HT3w9+/J2yEgsOp5al4/5/DaJtpyLufXw3gYEOjh4J4L+Pd6esxLtb0FdfV86JZ93nsSCgeedSrnlpP58/1IGsA1r2kPJCCwFhdiYv2k7qlmC+mqZlLEHCRQ+k033UaXNG/AVdhHdqEBxiY9JTO2ndvhgQvP5MV/oMzmbklYcpzNNSL82d2YENq41JsABqmghCiM7A5zV2tQOeklK+7q1NPUVBjLZrlK9gjNiIEf5OvbPvCSI59z+1izmvdWTHxiguuvww/7zpIPNm1S6SY4SvBZlWVn0Yz8M/b8UaIJk3sSNbvo/h+rf2HS/z/XOtCAjVJu3Edy7j/u+3Y7ZAYZaVV0f3oMuIjZjd/PXoIbxTkzsf3sPGP2J44ZFeWCxO/AMc9BmczXcft2bBvDZe2fSYRlKDMyzhpZQySUrZS0rZC+gLlALf+GJTX1EQY+0a5SsYIzZipL9VtGhdwo6NWibezWuiGTrcu7TwevjqdAhs5SYcdrCVmQiLq86qKyVs/TGaXmO1uYN+gc7jwcxeYUJ42MPuq/BOTQKD7XTrk8fSbzVNDrvdREmx71mHPaWxZPQ9U03U4cB+KeUhX4zoLQpipF2jfDUKvf2VEp6btQkpYdHXLVi8oAUH94cw6PxjrFkRy7kXHSUmzv104nr6Gh5v47w7Mpg+pA/WACedzi2g87DqAJmyLpTQGBvN2lb7l7o5hC8eaUfeYX/Gv5rsdu3tZLwR3qlJ88RSCvL8ePDfO2nbqYjk3WG885LWTTFmXCoXjjnCvl1hvPdqZ4rr0Mj1GolvYhVnEKNlA6sYD3x6qg9OEJ2hdtk7vUVBjLRrlK9Gobe/U27pz6TrBvHUvX0YMy6Nbn3yeP3fXRlzTRpvfLyGwCA7dpt3t5+vvpYWmNm5LJJpv2/mybWbqCw1sfGbmOOfb14Yc7z2VkWr3sVMWbaNSQu3s/ztRGzlnueM9EZ452RMZkmHs4r46asWTLpuMOVlZq6+5SA/fdmS28eey33jB5OX7c9tk5O8su8uwuneVt8YHuCEEH7AWODLU31+gugMtafDNkoUxAi7RvlqFHr7m3tM618qyPPjz19j6dS1gPSDwTxxT1/u/9cgflscT0Z6YL34um9VOFEtKwiJtmO2SrqNyuXQRk3Gz2GHHUsi6Tnm1Evb4jqU4xfoIHOvZzUwb4V3TiYnK4DsLH+Sdmg2Vv8SR4ezCsnP9cfpFEgpWLygBZ266tu9UJOqeXCNoYl6Jmpwo4FNUsqjvhrSUxTEaLtG+WoUevrrH1BDJCfAQe/BORzaH0J4pBaUhJCMvyOFn77yXDtDD18jEypJ3RxCZZkJKSF5dTixHTQVtX2rwoltV05E8+oAmpvmj8OlPpiX7sexA4FEtahbZLsa74V3TiYvx59jRwNIbK1JbPYckENqSjCRMdX+DLkwi0P7jUmjDmjVZXe3euZM9MFdy2map56ipyiI0XaN8hWMERvRVXAluoInXt0KVInkxLPxjxguvzaVMeO0kd/Vv8ay7LuEevG1Ve9iuo/O5fVLu2OySBK7ljDoWm3AY8v3MfQam31C+ZT1oSx/uzMmi8RkgiufTSE4yn29Vb2Fd975v7N4ePp2LFYnmemBvP7vbtz1yB7adSpCAllHApkxXX+9kJo0hNqZOxgtOhMEpAHtpJR11pnDRJQcKIYb5o9Cf4zKJuI46pvw9un4u2cT+SP7Cwoqs3wSnQmNaCF7D7vfrbK/f/9IvYrOGNpElVKWSimj3QluCoWi8aBHH5wQoqUQYrkQYrcQYqcQ4n7X/ighxDIhxD7X38gax0wTQiQLIZKEECPr8vNMjaIqFIqmggQc0r2tduzAQ1LKs4FBwEQhRBdgKvCLlLIj8IvrPa7PxgNdgVHALCFErcPRKsApFAqP0aMGJ6XMkFJucr0uAnYDicDlwFxXsbnAFa7XlwOfSSkrpJQpQDIwoLZzqACnUCg8R+dRVCFEG6A3sBaIk1JmaKeRGUBVR28iWp9+Femufael0S22VygU9Y8Ho6gxQogNNd7PllLOPsGWECHA18ADUspCcaqZ3K6ip9hXqycqwCkUCs/wLF1Sdm2jqEIIK1pw+1hKucC1+6gQormUMkMI0RyoGlJPB1rWOLwFcKS2kzesACcEwupXdzkPkbbKugt5gbDof/lkI0kkWIXjmDFiNqbgYEPsPtxuqO42Zx36TXebAPe0PU93m9Lh/vy90yEAUfcAQt12tKrae8BuKeWrNT5aCNwEvOj6+12N/Z8IIV4FEoCOwLraztGwApxCoWgU6KRsPxS4AdguhNji2vcYWmD7QghxG5AKXA0gpdwphPgC2IU2AjtRSlmrEJ0KcAqFwjN0yugrpVzFqfvVQMtAdKpjpgPT3T2HCnAKhcJDGsY6U3dQAU6hUHhMY1mLqgKcQqHwHFWDUygUTRKpzyjqmaDBB7gHX0ph4IX55OdYmXBxNwCuf+Awo649RkGO5v6HL7Vg/fIIr8+hp+rRgy8dZODwAvJzLEy4qCsAtz+WzsAR+dhtJo4c8ufVKa0pKfT+0l9xWxajr81GCFj0SQzfvOddRo/JLx9i4IgCTZ1rhJZe59xL87hhcgYtO5YzaUxn9m3zfLrGqeyGRth5bFYKcS0rOZrmx/S721Jc4P41sPo5eemTHVj9nJgtklWLo5n/Zitue/QgAy/Iw24TZKQG8OrUDpQUuW9Xz2vwy5wE/vgsDgQknlXKDS/tJXN/EJ8+3h57hQmTWTL+uf206VWMwyaY/2gH0naE4LALBv4ji1ET073y19dr6xWNI74Zu1RLCPGgK0vADiHEp0IIjxOMLfsyhidu6vSX/d+8F8fES7ox8ZJuPgU3qFY9uuO8s7h/TEcuuzmbVh290wtY9mU0T9zY8YR9m34P466LunL3yC4cTvFn3MRMr31t3bmM0ddmM2nMWUy4+GwGjiggoa13vi79MorHrz9R1epgUgD/uaMd29eGeO3jqexeMzGTzatDufXcrmxeHcq4iZ7lP7VVCqbe2JWJY3sxcWxP+g7L56xeRWxeHcGES3txz2W9OHwwgHET6g4SdfnqzTXIz/RjxQcJPPrDVp5cthmnAzZ834xvXmjDpfen8diiLYyZnMo3L7QFYNOPMdgrTTyxdDPTftzCqk/iyUmrPaP16fz19dp6g5DSra2+MSzACSESgUlAPyllN8CMlgnAI3asC6Uo39inkZ6qR5q/JyY42PR7GE6HNhq+Z1MwMfHe2QZo1aGc3ZuDqSg34XQItq0JYeiofO98XftXX9OSA0k/4FtizlPZHXxxAT9/qSXl/PnLaAaPzPfQqqC8VLNpsUgsFomUsGlVRPW13RJKTLxnk7r1vAaOGkpdlWVmwuMqEQLKXPoLZUVmwmNdmXeFpKLUrJUtN2GxyuMyhZ766/u19QKV0fe4/UAhhA0Ioo5lFZ4w9sYsRlyVw97twbz7bEuKfWjy1cRX1aO6uHhcDiu/j6y74Gk4mBTAzY8eITTCTmW5if4XFrJvmzG+6klkjJ3cLE03ITfLSkS05zPqTSbJm99uJaFVOT98HE/S1hPTcl/8zyx++zHmNEcbS0R8JSPuPMwTg/tjDXBy9rl5dBmWT2TzCmbe2JUF09sinTBlwTYA+lySw7Zl0UzrP5DKMhP/fOoAwRHerTLQ49p6hAQagKCMOxipi3oYeBltJnIGUCClXHpyuRNUtaR7Ta0f5sdyy7Ae3DO6K7lZVu54Uh8BZD1Uj2pj/L0ZOOyCX7+J8tpGWnIgX8yK44VP9zF9fjIpuwJx2H1K0NpocDoF947txQ3n9qNTj2Jadyw5/tn4u9Nx2AXLF9ZPgCstMLNtaRT/WbWeF9ato6LMzNoFzfh9fnP++WQKz69Zzz+fSmH+I1r3xcEtIZhMkhfWrePZVRv4+d1EslPrbqI2BATuNU+behM1Ei1/U1u0dWPBQojrTy53gqqWm110+dnWagWhT5vRuWdJ3QfVgV6qR6djxD9zGDi8gP9OasvpJ2+7x5LPYrh39NlM+WcnivLNHE5p+D+MvGwLUbFa0zwq1kZ+jvc17pIiC9vWhtNvWD4AI67MYsAFufz3oY74em29Zc+qCKJblhPqUurqNSqHAxvDWPN1LL1Ga+t1+1yazaGtWr/e+u+a0eX8PMxWSWiMjfZ9izi0zTuhGD2vrds4ne5t9YyRgwwjgBQp5TEppQ1YAAzRw3BUbHU/y5CReRxM8k5+rhr9VI9ORd/zCrj67kz+fVt7Ksp9v+Th0drN3CyhkqGj81nxnfdN3jPFmmXhjLha+6GPuDqHPz1U7AqPshEcqjW9/Pwd9B6ST9qBQPqem8fVdx7mmQlnU1Guf63bXSITKji4OfS4UlfS6nDiO5QSHlvJvjXad01aHU6zNlorJSqxgqQ/IpASKkpNpGwOJa69d0Lbvl5bj6lqorqz1TOGic4IIQYC7wP9gTLgQ2CDlHLG6Y4JM0XLQdZRJ+yb+uZ+egwuIizSTl62hfmvJdJjUBHtupSChKPp/rz5WGtys06fhaSubCJdBxTz6rf7ObAr4Hi/qDuqR6fKJjJ1xoEa/lqZ/2oC4yZmYvVzUpinld+zOZgZj7U+ta9uZBN55eskQiMdOOyCd55JZMtq79SZps5MocfgIsKjNF/nvdKconwL9zybRniUnZJCM/t3BvL49R3rNlaH3T8WR/D4/1KITawk67Af0ye0rXXwyBR4Ym2+TecSpvw3GZNJIkyS3xfF8MnMlrz38ybt2rps7dkSysyn2p/WrrPsxG4QPa7BrBQtm8gPr7Zi4w8xmMySll1L+Nf/7ePQtlC+/Hc7nA6B1d/J+OeSadW9hPISE/OmdCJzXyBSCgZffZSLJhw+we6pson4em3XOpZSKHN9quaGByXIwZ1ud6vskq3P1qvojNGqWs8A49BW/m8GbpdSnlZQ8lQBTg9UuqTGx8kBTi9ODnB6UBXg9MaIdEm6BbiOt7lVdsm25+o1wBnaWJdSPg08beQ5FArFmaZhTAFxhwa/kkGhUDQwqlS1GgEqwCkUCo9pCFNA3EEFOIVC4TkqwCkUiiaJBBrJYJgKcAqFwkPUIIN3SGnYlA4jkHaD1/w1Akyh3s2+rwtnUZEhdi2tW9ZdyEPuaXOu7jYBXkpZrbvN68YU62NIBTiFQtEkkYCjASxTcAMV4BQKhYdIkCrAKRSKpopqoioUiiaJGkVVKBRNGlWDUygUTRYV4PRn8qupDBxRpCkKXdhZV9v9zi9kwrNHMJskiz6N4ouZcT7bNMpfI3y1+jt5ZUEyVj+J2SL5/ccI5r0c750tPycvfbxNU8Ayw6ol0cyfUZ0e6h+3pnP7owcZN2gghXnWevUV4IrxB7j4slSkFBzaH8pr03sy8JyjXHfbXlq2KebB284heU+E1/arMJkkMxbtJSfTylM3tXP7uJVz4ln3eSwIaN65lGte2s/nD3Ugy6UbUV5oISDMzuRF20ndEsxX01y2JVz0QDrdR+X57PsJSAmOuvUjGgKGBjghxP3AHWhpVt+VUr7ui72ln0ex8IMYHn5DnxTlVZhMkonPH2ba+HZkZ1iZ8dM+1iwJJ3Wfbyl7jPDXKF9tFYJHrm5PeakZs0Xy6rfJrP81lD2bPJcNtFUKpt7U3WXLycufbGPDykj2bA0jJr6C3kPyOXrY+yzEevoa3ayMy65O4e7rzqeywszU5zZy3ogjJO2MYPq0ftz76Dav/TyZK24/Rto+f4JC3R+BLMi0surDeB7+eSvWAMm8iR3Z8n0M17+173iZ759rdVywJr5zGfd/vx2zBQqzrLw6ugddRmzErPcvvZHU4IxMWd4NLbgNAHoCY4QQnmVOPIkda0MoytM/JnfuXcqRg35kpvpjt5lY8V0Eg0cW+GzXCH+N8vUE1SqrxGyVPtzDp1LA0lKQ3TXtAO+91MZHXU09fQWzWeLn78BkduIf4CAnO4C0Q6EcTvVeOvFkYppXMmB4IYs+jfb4WGcNtS5bmYmwuOrJ8FLC1h+j6TVWy+jrF+g8HszsFSaEMCgQKVUtzgbWSClLAYQQvwFXAv818JxeER1v49iR6ozA2RlWzurjXfpoozHSV5NJMnPJXhLaVPL9h9Ekbfa8RlTT1psLtpDQqowfPmlO0rZQBl6YQ3aWHylJvgcOvXzNORbIgk/a8eE3v1BZYWbTuhg2r9M/bf2EZw4z57kEgkI8a9qFx9s4744Mpg/pgzXASadzC+g8rPqBlrIulNAYG81qaOOmbg7hi0fakXfYn/GvJutfe0M2mlFUIzUZdgDDhBDRQogg4BLgL+tkTlDV4rTJfg1FnCK/aQN4+JwSI311OgX3XNSZf/XtQudepbTuXOaTrXuv6M0N5w2gU49i2nQuYfyENOa9cepU7fXla0hoJYPOPcqt/7iQGy4bQUCAgwtGeiYeXRdVSvRV2rueUFpgZueySKb9vpkn126istTExm+qlcM2L4w5XnurolXvYqYs28akhdtZ/nYitnKdhXgkSOl0a6tvjJQN3A38H7AMWAxsRUtdfnK5alUt6kcdKjvDSrOE6mp/THMbOZmed36fCc6EryWFZrb+GUL/C3xfD1qlgDV4eA7xLSqY9d1mPvxlPTHxFcxYsIXIGN/WHvvqa6/+2RzNCKIw3x+Hw8QfvzXn7O76dsp36VfCoIsLmbtmJ9NmHaLn0CIeefOQW8fuWxVOVMsKQlxqXd1G5XJoo1YDdthhx5JIeo7JOeWxcR3K8Qt0kLnXAN1ch9O9rZ4xsgaHlPI9KWUfKeUwIBfYV9cx9UHSliAS21YS17ICi9XJ+Zfns8ZoZSIvMcrX8Cg7wWFa88kvwEmfc4tJS/Zu4CI88q8KWPt3hXDtkIHcPLw/Nw/vT3amP/dd1Yu87NOLBZ0JX49lBtK5ax7+/g5A0rNfNmkH9et7A/jgxQSu79eVmwZ15YV7WrN1dSj/neReTTYyoZLUzSHH1bqSV4cT20Grre5bFU5su3Iimlc/JHLT/HG4qhF56X4cOxBIVAudW0ZSNhrZQKNHUWOllFlCiFbAVcBgX+xNnXWIHoOLCY+yM3/DLua9EscSLzptT8bpELz1eCLPf3IAkxmWfhbFob2+i54Y4a9RvkbF2ZjyRiomE5hMsPL7cNb+7J1aV2RsJVNe3IvJLBECfl8cw7oV3otdG+lr0q5IVi9vzhtzV+KwmziwN4xF37Vi8HkZTJi8k/CISv79yjoO7A3nqQcH6vYd3KVV72K6j87l9Uu7Y7JIEruWMOjaLAC2fB9Dr7HZJ5RPWR/K8rc7Y7JITCa48tkUgqMMyHrTUPtwTsJoVa3fgWjABkyWUv5SW/kwESUHiuGG+aPQH5UuCeyp+vbZVfFSyp+627xuzFF2bav0TVXLHCMHBV7qVtmlJR81aVUtYxJlKRSKeqRhTAFxh0a1kkGhUDQA1GJ7hULRVJGAbCRLtQwdRVUoFE0Q6Up46c5WB0KIUUKIJCFEshBiqt6uqhqcQqHwGKlDE1UIYQbeAi4C0oH1QoiFUspdPht3oWpwCoXCc/SpwQ0AkqWUB6SUlcBnwOV6umnoNBFPEUIcA9yZ4h0DZNdZynOU3cbla2Oz2xB8bS2l9GmxrRBiseuc7hAAlNd4P1tKOdtl55/AKCnl7a73NwADpZT3+uJfTRpUE9XdCy+E2GDE3Bplt3H52tjsNiZfa0NKOUonU6eaj6drjUs1URUKRX2RzokJOFoAR/Q8gQpwCoWivlgPdBRCtBVC+AHjgYV6nqBBNVE9YLaya5jdxuRrY7PbmHw1HCmlXQhxL7AEMAPvSyl36nmOBjXIoFAoFHqimqgKhaLJogKcQqFosjS6AGfE0g4hxPtCiCwhxA497LlsthRCLBdC7BZC7HQpjOlhN0AIsU4IsdVl9xk97NawbxZCbBZC/KCjzYNCiO1CiC1CiA062YwQQnwlhNjjusY+5Rp02ezs8rFqKxRCPKCDuwghHnT9v3YIIT4VQviexE+ze7/L5k69fG1SSCkbzYbWEbkfaAf4oaVB76KD3WFAH2CHjr42B/q4XocCe3XyVQAhrtdWYC0wSEe/JwOfAD/oaPMgEKPzvTAXuN312g+IMOBey0SbGOurrUQgBQh0vf8CuFkHu93QtE+C0AYMfwY66nkdGvvW2GpwhiztkFKuREuprhtSygwp5SbX6yJgN9qN7qtdKaUsdr21ujZdRoqEEC2AS4E5etgzCiFEGNpD6T0AKWWllDJf59MMB/ZLKd0TT6gbCxAohLCgBSQ95nsdV66TUtqBKuU6hYvGFuASgZoqyunoEDSMRgjRBuiNVtvSw55ZCLEFyAKWSSl1sQu8DjwC6J1MXwJLhRAbhRB36mCvHXAM+MDVnJ4jhPBe4/DUjAc+1cOQlPIw8DKQCmQABVLKpTqYdku57u9MYwtwhi/t0BshRAjwNfCAlLJQD5tSSoeUshfazO8BLpFtnxBCjAGypJQbfbV1CoZKKfsAo4GJQohhPtqzoHUpvC2l7A2UALql2nFNOh0LfKmTvUi0lkZbIAEIFkJc76td6aZy3d+ZxhbgDF/aoSdCCCtacPtYSrlAb/uuZtkKQI+1gUOBsUKIg2hN/wuFEPN1sIuU8ojrbxbwDVpXgy+kA+k1aq5foQU8vRgNbJJSHtXJ3gggRUp5TEppAxYAQ/QwLBuJcl190dgCnOFLO/RCCCHQ+oh2Sylf1dFuMyFEhOt1INqPZ4+vdqWU06SULaSUbdCu669SSp9rGUKIYCFEaNVr4GK0ppUvvmYCaUKIzq5dwwHdcogB16JT89RFKjBICBHkui+Go/XJ+owQItb1t0q5Tk+/Gz2NaqmWNGhphxDiU+B8IEYIkQ48LaV8z0ezQ4EbgO2u/jKAx6SUP/lotzkw15Us0AR8IaXUbUqHAcQB32i/ayzAJ1LKxTrYvQ/42PWgOwDcooNNXH1ZFwF36WEPQEq5VgjxFbAJrQm5Gf2WV30thKhSrpsopdRXtbqRo5ZqKRSKJktja6IqFAqF26gAp1AomiwqwCkUiiaLCnAKhaLJogKcQqFosqgA14gQQjhcWS52CCG+dE1p8NbWhy5VI1xLnbrUUvZ8IYTHE1NdWUT+or50uv0nlSmu7fNTlP+3EGKKpz4qmjYqwDUuyqSUvaSU3YBKYELND11z4zxGSnm7rF1s93x0mnmvUJxJVIBrvPwOdHDVrpYLIT5Bm1RsFkK8JIRYL4TYJoS4C7SVFUKImUKIXUKIH4HYKkNCiBVCiH6u16OEEJtc+eZ+cSUKmAA86Ko9nutaTfG16xzrhRBDXcdGCyGWuhbAv8Op1w6fgBDiW9ci/J0nL8QXQrzi8uUXIUQz1772QojFrmN+F0KcpcvVVDRJGtVKBoWGK+XOaLQF1qCt7ewmpUxxBYkCKWV/IYQ/sFoIsRQtm0lnoDva6oJdwPsn2W0GvAsMc9mKklLmCiH+BxRLKV92lfsEeE1Kucq1RGgJWuqep4FVUsr/CCEuBdzJHHKr6xyBwHohxNdSyhwgGG096ENCiKdctu9FWwEwQUq5TwgxEJgFXOjFZVT8DVABrnERWGPZ1+9oa12HAOuklCmu/RcDPar614BwoCNa/rRPpZQO4IgQ4tdT2B8ErKyyJaU8XY68EUAX1/IrgDDXetNhaOshkVL+KIRwZ9nQJCFEVQ6zli5fc9BSNn3u2j8fWODKzDIE+LLGuf3dOIfib4oKcI2LMleapOO4fuglNXcB90kpl5xU7hLqTi0l3CgDWtfGYCll2Sl8cXvtnxDifLRgOVhKWSqEWAGcLpW3dJ03/+RroFCcDtUH1/RYAtztStWEEKKTK4vHSmC8q4+uOXDBKY79EzhPCNHWdWyUa38RWtr1KpaiNRdxlevlerkS+Jdr32ggsg5fw4E8V3A7C60GWYUJqKqFXofW9C0EUoQQV7vOIYQQPes4h+JvjApwTY85aP1rm4QmovMOWk39G7RcYduBt9HSW5+AlPIYWr/ZAiHEVqqbiN8DV1YNMgCTgH6uQYxdVI/mPoOWYXYTWlM5tQ5fFwMWIcQ24FlgTY3PSoCuQoiNaH1s/3Ht/xdwm8u/neiQsl7RdFHZRBQKRZNF1eAUCkWTRQU4hULRZFEBTqFQNFlUgFMoFE0WFeAUCkWTRQU4hULRZFEBTqFQNFn+H95RIU1okTMbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_15_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree15,\n",
    "                             display_labels=clf_15.classes_)\n",
    "disp_15_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5a03765a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_20_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree20,\n",
    "                             display_labels=clf_20.classes_)\n",
    "disp_20_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "e3e3429a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_25_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree25,\n",
    "                             display_labels=clf_25.classes_)\n",
    "disp_25_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "bd3cb66a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_30_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree30,\n",
    "                             display_labels=clf_30.classes_)\n",
    "disp_30_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "22ae9090",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "disp_3_tree = ConfusionMatrixDisplay(confusion_matrix=con_matrix_tree3,\n",
    "                             display_labels=clf_3.classes_)\n",
    "disp_3_tree.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82c414fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "print ('End')"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
