File size: 81,825 Bytes
dfb3177 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 | {
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Logistic Regression Accuracy: 0.88\n",
"\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" 0 0.90 0.85 0.88 1301\n",
" 1 0.85 0.90 0.88 1244\n",
"\n",
" accuracy 0.88 2545\n",
" macro avg 0.88 0.88 0.88 2545\n",
"weighted avg 0.88 0.88 0.88 2545\n",
"\n"
]
},
{
"data": {
"image/png": 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nl51/VlT/yTCMbI+ZO3dupgpUdv39/PwUHh6uX375JVdx5aQiLZmL/2bXSE9Pt3vt5eWl9evXa+3atVq6dKmWL1+uuXPn6qGHHtKKFSuyjSG3/st7uc5qtapt27aaMWOGfv/99xsuVj9q1CgNGjRInTt31ogRIxQUFCQ3Nzf16tUrx5VXKfPn4GZ27Nhh+0fV7t279fTTT+fqeMAVkUjCoYoXL64iRYpo3759mdp+++03ubm5qVSpUpKurXd38ODBTP2y2pcVb29vPfXUU3rqqaeUlpamtm3b6u2339bAgQNVuHDhHCcAklShQoVcJxg30qJFCzVo0ECjRo1S9+7d5e3trQoVKmjVqlWKjIy84V9415/sPXjwoF2l8dSpUzmuCFWoUEGSFBwcbEtwb9a/b9++6tu3rw4cOKAaNWrogw8+0BdffGHr88ADD+iBBx7Q22+/rdmzZ6t9+/b68ssv1bVr10zny83vwX8RHR2tlStX5rh/y5Yt9cknnyguLk4RERE37FumTBllZGTowIEDqlKlim1/UlKSzp49a/s55YXAwMAsF87Paljfzc1NjRs3VuPGjfXhhx9q1KhRevPNN7V27dosf9bX48zuZ1GsWDGHLRf1zDPP6PPPP5ebm5vatWuXbb/58+erUaNG+uyzz+z2nz171u5Bt9x8pm/mwoULev7551W1alU9+OCDGj16tB599FHbk+EAssbQNhyqUKFCatKkib755hu75WOSkpI0e/Zs1a1b1zbEGB0drbi4OLtvqTh9+nS2Fbt/OnXqlN1rT09PVa1aVYZh2ObxXf/LMSffbPPYY49p586dmZ7ElXJXhfmnAQMG6NSpU5o6daqka0/Cpqena8SIEZn6Xr161RZn48aN5e7urkmTJtn1mTBhQo6vHR0dLT8/P40aNSrLeY3Xl9W5ePFipifBK1SoIF9fX9vQ9ZkzZzLdg+vzWrMb3s7N78F/ERYWpqioKLvtRvr37y9vb2917dpVSUlJmdoPHTqkjz76SNK1oVlJGjt2rF2fDz/8UNK1fyzklQoVKig5OVm7du2y7Tt27Fim38fTp09nOvZmP4uwsDDVqFFDM2bMsPss/PLLL1qxYoXtfTpCo0aNNGLECE2YMCHLyvh1hQoVyvQ7Nm/ePP399992+3Lzmb6ZAQMGKCEhQTNmzNCHH36osmXL2r5EAED2qEgiT3z++edavnx5pv2vvvqqRo4caVvr7uWXX5a7u7umTJmi1NRUjR492ta3f//++uKLL/Twww+rZ8+etuV/SpcurdOnT9+w+tCkSROFhoYqMjJSISEh2rt3ryZMmKAWLVrYHqaoVauWJOnNN99Uu3bt5OHhoVatWmVZfenXr5/mz5+vJ554Qp07d1atWrV0+vRpLV68WJMnT9Y999yT63vUrFkz3XXXXfrwww8VExOjBg0aqHv37oqNjVV8fLyaNGkiDw8PHThwQPPmzdNHH32kxx9/XCEhIXr11Vf1wQcf6JFHHlHTpk21c+dOLVu2TMWKFctRVcbPz0+TJk3Sc889p5o1a6pdu3YqXry4EhIStHTpUkVGRmrChAnav3+/GjdurCeffFJVq1aVu7u7Fi5cqKSkJFsFacaMGfr444/16KOPqkKFCjp37pymTp0qPz+/GyYhOf09uJUqVKig2bNn66mnnlKVKlXsvtlm48aNmjdvnm2dznvuuUcdO3bUJ598orNnz6pBgwbasmWLZsyYoTZt2qhRo0Z5Fle7du00YMAAPfroo3rllVdsSzXdeeeddg+bDB8+XOvXr1eLFi1UpkwZHT9+XB9//LFKliypunXrZnv+9957T82aNVNERIS6dOliW/7H39/fod+P7ubmprfeeuum/Vq2bKnhw4fr+eef14MPPqjdu3dr1qxZdg9qSdd+fgEBAZo8ebJ8fX3l7e2tOnXqZJojfDNr1qzRxx9/rCFDhtiWI5o2bZoaNmyoQYMGOe33E7gtOO+BcRQE15dqyW77888/DcMwjO3btxvR0dGGj4+PUaRIEaNRo0bGxo0bM51vx44dRr169Qyr1WqULFnSiI2NNcaNG2dIMhITE239/r18x5QpU4z69esbRYsWNaxWq1GhQgWjX79+RnJyst35R4wYYZQoUcJwc3OzWwro38v/GMa1pYd69OhhlChRwvD09DRKlixpdOzY0Th58uQN70mZMmWMFi1aZNk2ffr0TMuVfPLJJ0atWrUMLy8vw9fX16hevbrRv39/4+jRo7Y+V69eNQYNGmSEhoYaXl5exkMPPWTs3bvXKFq0qPHiiy9m+nlktzTP2rVrjejoaMPf398oXLiwUaFCBaNTp07Gzz//bBiGYZw8edKIiYkxKleubHh7exv+/v5GnTp1jK+++sp2ju3btxtPP/20Ubp0acNqtRrBwcFGy5Ytbee4Tv9a/uf6sTf7PcjuPaxdu9aQZKxduzbL9/Zf7N+/3+jWrZtRtmxZw9PT0/D19TUiIyON8ePHG5cvX7b1u3LlijFs2DCjXLlyhoeHh1GqVClj4MCBdn0MI/vfgX//3ma3/I9hGMaKFSuMu+66y/D09DQqVapkfPHFF5mW/1m9erXRunVrIzw83PD09DTCw8ONp59+2ti/f3+ma/x7iZxVq1YZkZGRhpeXl+Hn52e0atXK+PXXX+36XL/ev5cXuv4zymoprX/65/I/2clu+Z++ffsaYWFhhpeXlxEZGWnExcVluWzPN998Y1StWtVwd3e3e58NGjTIdkmwf54nJSXFKFOmjFGzZk3jypUrdv169+5tuLm5GXFxcTd8D4ArsxiGyXE64Bbp1auXpkyZovPnz+fZwwMFwdmzZxUYGKiRI0fqzTffdHY4AAAXxBxJ5CuXLl2ye33q1CnNnDlTdevWdekk8t/3Rfq/uXr//qpIAABuFeZIIl+JiIhQw4YNVaVKFSUlJemzzz5TSkqKBg0a5OzQnGru3LmaPn267Wv0NmzYoDlz5qhJkyaKjIx0dngAABdFIol8pXnz5po/f74++eQTWSwW1axZU5999pnq16/v7NCc6u6775a7u7tGjx6tlJQU2wM4I0eOdHZoAAAXxhxJAAAAmMIcSQAAAJhCIgkAAABTSCQBAABgSoF82Mbr/tecHQIABzmyKtbZIQBwkBA/D6dd2+veHg4796UdOf9K29sNFUkAAACYUiArkgAAALliobZmBokkAACAxeLsCG5LpN8AAAAwhYokAAAAQ9umcNcAAABgChVJAAAA5kiaQkUSAAAAplCRBAAAYI6kKdw1AAAAmEJFEgAAgDmSppBIAgAAMLRtCncNAAAAplCRBAAAYGjbFCqSAAAAMIWKJAAAAHMkTeGuAQAAwBQqkgAAAMyRNIWKJAAAAEyhIgkAAMAcSVNIJAEAABjaNoX0GwAAAKZQkQQAAGBo2xTuGgAAAEyhIgkAAEBF0hTuGgAAAEyhIgkAAODGU9tmUJEEAACAKVQkAQAAmCNpCokkAAAAC5KbQvoNAAAAU6hIAgAAMLRtCncNAAAAplCRBAAAYI6kKVQkAQAAYAoVSQAAAOZImsJdAwAAgClUJAEAAJgjaQqJJAAAAEPbpnDXAAAAYAoVSQAAAIa2TaEiCQAAAFOoSAIAADBH0hTuGgAAAEyhIgkAAMAcSVOoSAIAAMAUKpIAAADMkTSFRBIAAIBE0hTuGgAAAEyhIgkAAMDDNqZQkQQAAIApVCQBAACYI2kKdw0AACAfWb9+vVq1aqXw8HBZLBYtWrTIrt0wDA0ePFhhYWHy8vJSVFSUDhw4YNfn9OnTat++vfz8/BQQEKAuXbro/Pnzdn127dqlevXqqXDhwipVqpRGjx6d61hJJAEAACwWx225dOHCBd1zzz2aOHFilu2jR4/WuHHjNHnyZG3evFne3t6Kjo7W5cuXbX3at2+vPXv2aOXKlVqyZInWr1+vF154wdaekpKiJk2aqEyZMtq2bZvee+89DR06VJ988kmuYmVoGwAAIB9p1qyZmjVrlmWbYRgaO3as3nrrLbVu3VqS9L///U8hISFatGiR2rVrp71792r58uXaunWrateuLUkaP368mjdvrvfff1/h4eGaNWuW0tLS9Pnnn8vT01PVqlVTfHy8PvzwQ7uE82aoSAIAAFjcHLalpqYqJSXFbktNTTUV5uHDh5WYmKioqCjbPn9/f9WpU0dxcXGSpLi4OAUEBNiSSEmKioqSm5ubNm/ebOtTv359eXp62vpER0dr3759OnPmTI7jIZEEAABw4NB2bGys/P397bbY2FhTYSYmJkqSQkJC7PaHhITY2hITExUcHGzX7u7urqCgILs+WZ3jn9fICYa2AQAAHGjgwIHq06eP3T6r1eqkaPIWiSQAAHB5FgcuSG61WvMscQwNDZUkJSUlKSwszLY/KSlJNWrUsPU5fvy43XFXr17V6dOnbceHhoYqKSnJrs/119f75ARD2wAAALeJcuXKKTQ0VKtXr7btS0lJ0ebNmxURESFJioiI0NmzZ7Vt2zZbnzVr1igjI0N16tSx9Vm/fr2uXLli67Ny5UpVqlRJgYGBOY6HRBIAALg8i8XisC23zp8/r/j4eMXHx0u69oBNfHy8EhISZLFY1KtXL40cOVKLFy/W7t271aFDB4WHh6tNmzaSpCpVqqhp06bq1q2btmzZop9++kk9evRQu3btFB4eLkl65pln5OnpqS5dumjPnj2aO3euPvroo0xD8DfD0DYAAEA+8vPPP6tRo0a219eTu44dO2r69Onq37+/Lly4oBdeeEFnz55V3bp1tXz5chUuXNh2zKxZs9SjRw81btxYbm5ueuyxxzRu3Dhbu7+/v1asWKGYmBjVqlVLxYoV0+DBg3O19I8kWQzDMP7j+813vO5/zdkhAHCQI6vMPekIIP8L8fNw2rW9n5jmsHNfmPe8w87tbAxtAwAAwBSGtgEAgMtz5FPbBRmJJAAAcHkkkuYwtA0AAABTqEgCAACXR0XSHCqSAAAAMIWKJAAAcHlUJM2hIgkAAABTqEgCAABQkDSFiiQAAABMoSIJAABcHnMkzaEiCQAAAFOoSAIAAJdHRdIcEkkAAODySCTNYWgbAAAAplCRBAAALo+KpDlUJAEAAGAKFUkAAAAKkqZQkQQAAIApVCQBAIDLY46kOVQkAQAAYAoVSQAA4PKoSJpDIgkAAFweiaQ5DG0DAADAFCqSAAAAFCRNoSIJAAAAU6hIAgAAl8ccSXOoSAIAAMAUKpIAAMDlUZE0x6mJZFpamhYtWqS4uDglJiZKkkJDQ/Xggw+qdevW8vT0dGZ4AAAAuAGnDW0fPHhQVapUUceOHbVjxw5lZGQoIyNDO3bsUIcOHVStWjUdPHjQWeEBAAAXYrFYHLYVZE6rSL700kuqXr26duzYIT8/P7u2lJQUdejQQTExMfr++++dFCEAAHAVBT3hcxSnJZI//fSTtmzZkimJlCQ/Pz+NGDFCderUcUJkAAAAyAmnDW0HBAToyJEj2bYfOXJEAQEBtyweAADgwiwO3Aowp1Uku3btqg4dOmjQoEFq3LixQkJCJElJSUlavXq1Ro4cqZ49ezorPAAAANyE0xLJ4cOHy9vbW++995769u1rm5tgGIZCQ0M1YMAA9e/f31nhAQAAF8IcSXOcuvzPgAEDNGDAAB0+fNhu+Z9y5co5MywAAADkQL5YkLxcuXIkjwAAwGmoSJrDVyQCAADAlHxRkQQAAHAmKpLmkEgCAACQR5rC0DYAAABMcXoiuXz5cm3YsMH2euLEiapRo4aeeeYZnTlzxomRAQAAV8F3bZvj9ESyX79+SklJkSTt3r1bffv2VfPmzXX48GH16dPHydEBAAAgO06fI3n48GFVrVpVkrRgwQK1bNlSo0aN0vbt29W8eXMnRwcAAFxBQa8cOorTK5Kenp66ePGiJGnVqlVq0qSJJCkoKMhWqQQAAED+4/SKZN26ddWnTx9FRkZqy5Ytmjt3riRp//79KlmypJOjw60QeW959X62oWpWLqGw4v56st80fbtuj629dcO71LVthO6tUlJF/b1Vp/2H2nXgqN05rJ7ueufVVnqiSQ1ZPdy1atM+vTr6ax0/fd7W59KW9zNdu8ObX2jeyniHvTcAmcVv/1lfzpymfb/9qlMnT+jt9z5SvYaNbe2nT53U5PFjtHXzRp0/d0733FtLr/Z7Q6VKl7E7zy+74jV10jjt/WW33Aq56Y47K+uDcVNkLVz4Vr8lFABUJM1xekVywoQJcnd31/z58zVp0iSVKFFCkrRs2TI1bdrUydHhVvAu7KndB46q13sLs2wv4uWpjTuP6K0JS7M9x+jej6hFvapqP3Cmmrz4scKK++nLdztm6tdt2Jcq22yYbVu87pc8ex8AcubypUuqcGcl9e7/ZqY2wzD0Zr9XdfToXxr1/jh99sU8hYSFq09MV126dNHW75dd8er3you6r86DmjJ9jj6Z/qXaPvG0LG5O/2sNcClOr0iWLl1aS5YsybR/zJgxTogGzrAi7jetiPst2/Y5y7ZLkkqHBWbZ7uddWJ0euV+dBs3Wup8PSpJeGD5XO+cN0P13ldaWXxJsfZPPX1LSqXN5GD2A3Hogsp4eiKyXZdtfCX9oz+6dmvHlIpWrcIckqe/rg9SmaUOt/v47tWzzuCRpwpjReuyp9nq2U1fbsaXL8lW7MI+KpDlO/6fb9u3btXv3btvrb775Rm3atNEbb7yhtLQ0J0aG28W9VUrK08Nda7bst+3b/8cJJRw7ozrV7YfCxvZrqz9XDNOP015Rh1b33epQAdxE2pVrf+57Wj1t+9zc3OTh4aFd8TskSWdOn9Kvv+xSYFCQXurcXq2j66vnC520K367U2JGAWFx4FaAOT2R7N69u/bvv5YA/P7772rXrp2KFCmiefPmqX///jc9PjU1VSkpKXabkXHV0WEjHwkt6qvUtKtKPn/Zbv/x0+cUUtTP9nrY5OV69o2Zatljihat3a2P+rfVy0/WvdXhAriBMmXLKSQ0TJ9M/EjnUpJ15coVzZrxmU4cT9KpUyckSUf//kuSNG3qx2rV5nG9N26K7qxcRb1f7qI/E/5wZviAy3F6Irl//37VqFFDkjRv3jzVr19fs2fP1vTp07VgwYKbHh8bGyt/f3+77eqxLQ6OGrejdz5fpbhdR7Rz/1F98L+1+nDmD+r9XENnhwXgH9zdPTRy9Fj9+ccRtWgcqSb1amvHz1tU58F6crNc+ysrIyNDkvTIo0+o+SOP6s5KVdSzzwCVKlNW3y3+2pnh4zbGguTmOD2RNAzD9ofCqlWrbGtHlipVSidPnrzp8QMHDlRycrLd5h52v0NjRv6SeOqcrJ7u8vexf1IzOMhXSaeyX0Jq654ElQwJkKdHIUeHCCAXKlWpps9nL9B3a+O0cNlavT9+ilKSzyqsxLWVPIoWKy5JKluugt1xZcqWV1Ji4i2PF3BlTk8ka9eurZEjR2rmzJlat26dWrRoIenaQuUhISE3Pd5qtcrPz89us7g5/Rki3EI79v6ltCtX1ei+irZ9FUsXV+mwQG3enf0w1913hut08kWlXUm/FWECyCUfH18FBAbpz4Q/tG/vHtVt0EiSFBZeQsWKByvhjyN2/f9K+EOhYWFOiBQFARVJc5yecY0dO1bt27fXokWL9Oabb+qOO649pTd//nw9+OCDTo4Ot4K3l6cqlCxme102PEh3VwzXmZSL+jPprAL9vFQqJFBhxa/Nd7yzzLVqRNLpc0o6dU4pFy5r+uIterfXIzqdclHnLlzWh689qk27jtie2G5et6qCi/poy+4EXU67osZ17lT/To019osfbvn7BVzdxYsX9fef/7eawrGjf+vAvt/k5++vkNAwrV31vQICAxUSEqZDhw5o/AfvqG6Dh3T/A5GSrv2F3+7Z5zXtk4m6485KuuPOylq+5Bv98cdhDX/3Q2e9LcAlWQzDMJwdRFYuX76sQoUKycPDI9fHet3/mgMigqPUq1lBKya/lGn/zCVb9cLwuXq2RW1NHdIuU/vIqSv09tQVkv5vQfInm9wrq+f/LUh+famfhx+opOExzVWhZFFZLBYd+uukpi6I0+eLNiuffgSQjSOrYp0dAv6jHdu26NUXO2fa37RFa70x9G3N//ILzZk5TWdOn1LRYsUV3fwRdez6Yqa/D76Y/qkWzpujcykpqlDxTr30Sl/dXaPmrXobcIAQv9z/nZ9X7nhtmcPOffD9Zg47t7Pl20TyvyCRBAouEkmg4CKRvP04fWg7PT1dY8aM0VdffaWEhIRMa0eePn3aSZEBAABXUdDnMjqK0x+2GTZsmD788EM99dRTSk5OVp8+fdS2bVu5ublp6NChzg4PAAC4AIvFcVtB5vREctasWZo6dar69u0rd3d3Pf300/r00081ePBgbdq0ydnhAQAAIBtOTyQTExNVvXp1SZKPj4+Sk5MlSS1bttTSpUudGRoAAHARLP9jjtMTyZIlS+rYsWOSpAoVKmjFimtP4W7dulVWq9WZoQEAAOAGnJ5IPvroo1q9erUkqWfPnho0aJAqVqyoDh06qHPnzMtDAAAA5DXmSJrj9Ke233nnHdv/P/XUUypdurTi4uJUsWJFtWrVyomRAQAA4Eacnkj+W0REhCIiIpwdBgAAcCFubgW8dOggTkkkFy9enOO+jzzyiAMjAQAAgFlOSSTbtGmTo34Wi0Xp6emODQYAALi8gj6X0VGckkhmZGQ447IAAABZKujL9DiK05/aBgAAwO3JaYnkmjVrVLVqVaWkpGRqS05OVrVq1bR+/XonRAYAAFwNy/+Y47REcuzYserWrZv8/Pwytfn7+6t79+4aM2aMEyIDAABATjgtkdy5c6eaNm2abXuTJk20bdu2WxgRAABwVXxFojlOSySTkpLk4eGRbbu7u7tOnDhxCyMCAABAbjgtkSxRooR++eWXbNt37dqlsLCwWxgRAABwVVQkzXFaItm8eXMNGjRIly9fztR26dIlDRkyRC1btnRCZAAAAMgJp31F4ltvvaWvv/5ad955p3r06KFKlSpJkn777TdNnDhR6enpevPNN50VHgAAcCEFvHDoME5LJENCQrRx40a99NJLGjhwoAzDkHSttBwdHa2JEycqJCTEWeEBAAAXUtCHoB3FaYmkJJUpU0bfffedzpw5o4MHD8owDFWsWFGBgYHODAsAAAA54NRE8rrAwEDdd999zg4DAAC4KAqS5vAViQAAADAlX1QkAQAAnIk5kuZQkQQAAMgn0tPTNWjQIJUrV05eXl6qUKGCRowYYXsoWZIMw9DgwYMVFhYmLy8vRUVF6cCBA3bnOX36tNq3by8/Pz8FBASoS5cuOn/+fJ7HSyIJAABcnsXiuC033n33XU2aNEkTJkzQ3r179e6772r06NEaP368rc/o0aM1btw4TZ48WZs3b5a3t7eio6Pt1uZu37699uzZo5UrV2rJkiVav369Xnjhhby6XTYMbQMAAOQTGzduVOvWrdWiRQtJUtmyZTVnzhxt2bJF0rVq5NixY/XWW2+pdevWkqT//e9/CgkJ0aJFi9SuXTvt3btXy5cv19atW1W7dm1J0vjx49W8eXO9//77Cg8Pz7N4qUgCAACX58ivSExNTVVKSordlpqammUcDz74oFavXq39+/dLknbu3KkNGzaoWbNmkqTDhw8rMTFRUVFRtmP8/f1Vp04dxcXFSZLi4uIUEBBgSyIlKSoqSm5ubtq8eXOe3jcSSQAAAAeKjY2Vv7+/3RYbG5tl39dff13t2rVT5cqV5eHhoXvvvVe9evVS+/btJUmJiYmSlOlLW0JCQmxtiYmJCg4Otmt3d3dXUFCQrU9eYWgbAAC4PEc+tD1w4ED16dPHbp/Vas2y71dffaVZs2Zp9uzZqlatmuLj49WrVy+Fh4erY8eOjgvSJBJJAADg8hy5/I/Vas02cfy3fv362aqSklS9enX98ccfio2NVceOHRUaGipJSkpKUlhYmO24pKQk1ahRQ5IUGhqq48eP25336tWrOn36tO34vMLQNgAAQD5x8eJFubnZp2eFChVSRkaGJKlcuXIKDQ3V6tWrbe0pKSnavHmzIiIiJEkRERE6e/astm3bZuuzZs0aZWRkqE6dOnkaLxVJAADg8vLLeuStWrXS22+/rdKlS6tatWrasWOHPvzwQ3Xu3FnStcppr169NHLkSFWsWFHlypXToEGDFB4erjZt2kiSqlSpoqZNm6pbt26aPHmyrly5oh49eqhdu3Z5+sS2RCIJAACQb4wfP16DBg3Syy+/rOPHjys8PFzdu3fX4MGDbX369++vCxcu6IUXXtDZs2dVt25dLV++XIULF7b1mTVrlnr06KHGjRvLzc1Njz32mMaNG5fn8VqMfy6VXkB43f+as0MA4CBHVmX9pCOA21+In4fTrh3x7nqHnTtuQH2HndvZmCMJAAAAUxjaBgAALi+/zJG83VCRBAAAgClUJAEAgMtz5DqSBRmJJAAAcHnkkeYwtA0AAABTqEgCAACXx9C2OVQkAQAAYAoVSQAA4PKoSJpDRRIAAACmUJEEAAAuj4KkOVQkAQAAYAoVSQAA4PKYI2kOiSQAAHB55JHmMLQNAAAAU6hIAgAAl8fQtjlUJAEAAGAKFUkAAODyKEiaQ0USAAAAplCRBAAALs+NkqQpVCQBAABgChVJAADg8ihImkMiCQAAXB7L/5jD0DYAAABMoSIJAABcnhsFSVOoSAIAAMAUKpIAAMDlMUfSHCqSAAAAMIWKJAAAcHkUJM2hIgkAAABTqEgCAACXZxElSTNIJAEAgMtj+R9zGNoGAACAKVQkAQCAy2P5H3OoSAIAAMAUKpIAAMDlUZA0h4okAAAATKEiCQAAXJ4bJUlTqEgCAADAFCqSAADA5VGQNIdEEgAAuDyW/zGHoW0AAACYQkUSAAC4PAqS5lCRBAAAgClUJAEAgMtj+R9zqEgCAADAFCqSAADA5VGPNIeKJAAAAEyhIgkAAFwe60iaQyIJAABcnht5pCkMbQMAAMAUKpIAAMDlMbRtDhVJAAAAmEJFEgAAuDwKkuZQkQQAAIApVCQBAIDLY46kOTlKJBcvXpzjEz7yyCOmgwEAAMDtI0eJZJs2bXJ0MovFovT09P8SDwAAwC3HOpLm5CiRzMjIcHQcAAAATsPQtjk8bAMAAABTTD1sc+HCBa1bt04JCQlKS0uza3vllVfyJDAAAIBbhXqkOblOJHfs2KHmzZvr4sWLunDhgoKCgnTy5EkVKVJEwcHBJJIAAAAuItdD271791arVq105swZeXl5adOmTfrjjz9Uq1Ytvf/++46IEQAAwKHcLBaHbQVZrhPJ+Ph49e3bV25ubipUqJBSU1NVqlQpjR49Wm+88YYjYgQAAEA+lOtE0sPDQ25u1w4LDg5WQkKCJMnf319//vln3kYHAABwC1gsjtsKslzPkbz33nu1detWVaxYUQ0aNNDgwYN18uRJzZw5U3fddZcjYgQAAEA+lOuK5KhRoxQWFiZJevvttxUYGKiXXnpJJ06c0CeffJLnAQIAADiaxWJx2FaQ5boiWbt2bdv/BwcHa/ny5XkaEAAAAG4PptaRBAAAKEgKeOHQYXKdSJYrV+6GZdrff//9PwUEAABwqxX0ZXocJdeJZK9evexeX7lyRTt27NDy5cvVr1+/vIoLAAAA+VyuE8lXX301y/0TJ07Uzz///J8DAgAAuNUoSJqT66e2s9OsWTMtWLAgr04HAACAfC7PHraZP3++goKC8up0AAAAt0xBX6bHUUwtSP7Pm20YhhITE3XixAl9/PHHeRocAAAA8q9cJ5KtW7e2SyTd3NxUvHhxNWzYUJUrV87T4Mw6s/F9Z4cAwEEC7+vh7BAAOMilHROcdu08m+vnYnKdSA4dOtQBYQAAAOB2k+sEvFChQjp+/Him/adOnVKhQoXyJCgAAIBbia9INCfXFUnDMLLcn5qaKk9Pz/8cEAAAwK3mVrDzPYfJcSI5btw4Sdcy9k8//VQ+Pj62tvT0dK1fvz7fzJEEAACA4+U4kRwzZoykaxXJyZMn2w1je3p6qmzZspo8eXLeRwgAAOBgVCTNyfEcycOHD+vw4cNq0KCBdu7caXt9+PBh7du3T99//73q1KnjyFgBAAAKvL///lvPPvusihYtKi8vL1WvXt3u2wMNw9DgwYMVFhYmLy8vRUVF6cCBA3bnOH36tNq3by8/Pz8FBASoS5cuOn/+fJ7HmuuHbdauXavAwMA8DwQAAMBZ8svDNmfOnFFkZKQ8PDy0bNky/frrr/rggw/scq/Ro0dr3Lhxmjx5sjZv3ixvb29FR0fr8uXLtj7t27fXnj17tHLlSi1ZskTr16/XCy+8kGf36zqLkd3TM9l47LHHdP/992vAgAF2+0ePHq2tW7dq3rx5eRqgGZevOjsCAI7COpJAweXMdST7frvPYef+oFWlHPd9/fXX9dNPP+nHH3/Mst0wDIWHh6tv37567bXXJEnJyckKCQnR9OnT1a5dO+3du1dVq1bV1q1bVbt2bUnS8uXL1bx5c/31118KDw//72/q/8t1RXL9+vVq3rx5pv3NmjXT+vXr8yQoAACAW8nN4rgtNTVVKSkpdltqamqWcSxevFi1a9fWE088oeDgYN17772aOnWqrf3w4cNKTExUVFSUbZ+/v7/q1KmjuLg4SVJcXJwCAgJsSaQkRUVFyc3NTZs3b87b+5bbA86fP5/lMj8eHh5KSUnJk6AAAAAKitjYWPn7+9ttsbGxWfb9/fffNWnSJFWsWFHff/+9XnrpJb3yyiuaMWOGJCkxMVGSFBISYndcSEiIrS0xMVHBwcF27e7u7goKCrL1ySu5XkeyevXqmjt3rgYPHmy3/8svv1TVqlXzLDAAAIBbxZHrhg8cOFB9+vSx22e1WrPsm5GRodq1a2vUqFGSpHvvvVe//PKLJk+erI4dOzouSJNynUgOGjRIbdu21aFDh/TQQw9JklavXq3Zs2dr/vz5eR4gAACAo7k5MJO0Wq3ZJo7/FhYWlqkwV6VKFS1YsECSFBoaKklKSkpSWFiYrU9SUpJq1Khh6/PvbyG8evWqTp8+bTs+r+R6aLtVq1ZatGiRDh48qJdffll9+/bV33//rTVr1uiOO+7I0+AAAABcSWRkpPbts3/wZ//+/SpTpowkqVy5cgoNDdXq1att7SkpKdq8ebMiIiIkSRERETp79qy2bdtm67NmzRplZGTk+VKNua5ISlKLFi3UokULSdeCnzNnjl577TVt27ZN6enpeRogAACAo+W6suYgvXv31oMPPqhRo0bpySef1JYtW/TJJ5/ok08+kXRtmaJevXpp5MiRqlixosqVK6dBgwYpPDxcbdq0kXStgtm0aVN169ZNkydP1pUrV9SjRw+1a9cuT5/Ylv7DfVu/fr06duyo8PBwffDBB3rooYe0adOmvIwNAADApdx3331auHCh5syZo7vuuksjRozQ2LFj1b59e1uf/v37q2fPnnrhhRd033336fz581q+fLkKFy5s6zNr1ixVrlxZjRs3VvPmzVW3bl1bMpqXcrWOZGJioqZPn67PPvtMKSkpevLJJzV58mTt3LkzXz1owzqSQMHFOpJAweXMdSTfXLbfYed+u9mdDju3s+W4ItmqVStVqlRJu3bt0tixY3X06FGNHz/ekbEBAAAgH8vxHMlly5bplVde0UsvvaSKFSs6MiYAAIBbypFPbRdkOa5IbtiwQefOnVOtWrVUp04dTZgwQSdPnnRkbAAAAMjHcpxIPvDAA5o6daqOHTum7t2768svv1R4eLgyMjK0cuVKnTt3zpFxAgAAOIzF4ritIMv1U9ve3t7q3LmzNmzYoN27d6tv37565513FBwcrEceecQRMQIAADiUI79ruyD7T8smVapUSaNHj9Zff/2lOXPm5FVMAAAAuA2YWpD83woVKqQ2bdrYFsIEAAC4nfCwjTn5ZSF3AAAA3GbypCIJAABwO6MgaQ4VSQAAAJhCRRIAALi8gv50taNQkQQAAIApVCQBAIDLs4iSpBkkkgAAwOUxtG0OQ9sAAAAwhYokAABweVQkzaEiCQAAAFOoSAIAAJdnYUVyU6hIAgAAwBQqkgAAwOUxR9IcKpIAAAAwhYokAABweUyRNIdEEgAAuDw3MklTGNoGAACAKVQkAQCAy+NhG3OoSAIAAMAUKpIAAMDlMUXSHCqSAAAAMIWKJAAAcHluoiRpBhVJAAAAmEJFEgAAuDzmSJpDIgkAAFwey/+Yw9A2AAAATKEiCQAAXB5fkWgOFUkAAACYQkUSAAC4PAqS5lCRBAAAgClUJAEAgMtjjqQ5VCQBAABgChVJAADg8ihImkMiCQAAXB5DtOZw3wAAAGAKFUkAAODyLIxtm0JFEgAAAKZQkQQAAC6PeqQ5VCQBAABgChVJAADg8liQ3BwqkgAAADCFiiQAAHB51CPNIZEEAAAuj5FtcxjaBgAAgClUJAEAgMtjQXJzqEgCAADAFCqSAADA5VFZM4f7BgAAAFOoSAIAAJfHHElzqEgCAADAFCqSAADA5VGPNIeKJAAAAEyhIgkAAFwecyTNIZEEAAAujyFac7hvAAAAMIWKJAAAcHkMbZtDRRIAAACmUJEEAAAuj3qkOVQkAQAAYAoVSQAA4PKYImkOFUkAAACYQkUSAAC4PDdmSZpCIgkAAFweQ9vmMLQNAAAAU6hIAgAAl2dhaNsUKpIAAAAwhYokAABwecyRNIeKJAAAAEyhIgkAAFwey/+Yk28rkklJSRo+fLizwwAAAEA28m0imZiYqGHDhjk7DAAA4AIsFsdtBZnThrZ37dp1w/Z9+/bdokgAAICrK+gJn6M4LZGsUaOGLBaLDMPI1HZ9v4WfKgAAQL7ltEQyKChIo0ePVuPGjbNs37Nnj1q1anWLowIAAK6IBcnNcdocyVq1auno0aMqU6ZMlluJEiWyrFYCAAC4infeeUcWi0W9evWy7bt8+bJiYmJUtGhR+fj46LHHHlNSUpLdcQkJCWrRooWKFCmi4OBg9evXT1evXs3z+JxWkXzxxRd14cKFbNtLly6tadOm3cKIAACAq3LLhwXJrVu3asqUKbr77rvt9vfu3VtLly7VvHnz5O/vrx49eqht27b66aefJEnp6elq0aKFQkNDtXHjRh07dkwdOnSQh4eHRo0alacxWowCWPa7nPcJN4B8IvC+Hs4OAYCDXNoxwWnXXv3bSYedu3HlYrk+5vz586pZs6Y+/vhjjRw5UjVq1NDYsWOVnJys4sWLa/bs2Xr88cclSb/99puqVKmiuLg4PfDAA1q2bJlatmypo0ePKiQkRJI0efJkDRgwQCdOnJCnp2eevbd8u/wPAADArWJx4H+pqalKSUmx21JTU28YT0xMjFq0aKGoqCi7/du2bdOVK1fs9leuXFmlS5dWXFycJCkuLk7Vq1e3JZGSFB0drZSUFO3ZsycP7xqJJAAAgEPFxsbK39/fbouNjc22/5dffqnt27dn2ScxMVGenp4KCAiw2x8SEqLExERbn38mkdfbr7flJb4iEQAAuDxHrjg4cOBA9enTx26f1WrNsu+ff/6pV199VStXrlThwoUdF1QeoSIJAABcniOHtq1Wq/z8/Oy27BLJbdu26fjx46pZs6bc3d3l7u6udevWady4cXJ3d1dISIjS0tJ09uxZu+OSkpIUGhoqSQoNDc30FPf119f75BUSSQAAgHyicePG2r17t+Lj421b7dq11b59e9v/e3h4aPXq1bZj9u3bp4SEBEVEREiSIiIitHv3bh0/ftzWZ+XKlfLz81PVqlXzNF6nD20vX75cPj4+qlu3riRp4sSJmjp1qqpWraqJEycqMDDQyRECAICCLr8s/+Pr66u77rrLbp+3t7eKFi1q29+lSxf16dNHQUFB8vPzU8+ePRUREaEHHnhAktSkSRNVrVpVzz33nEaPHq3ExES99dZbiomJybYSapbTK5L9+vVTSkqKJGn37t3q27evmjdvrsOHD2eaTwAAAODqxowZo5YtW+qxxx5T/fr1FRoaqq+//trWXqhQIS1ZskSFChVSRESEnn32WXXo0EHDhw/P81icvo6kj4+PfvnlF5UtW1ZDhw7VL7/8ovnz52v79u1q3ry5qaeLWEcSKLhYRxIouJy5juSP+8847Nz17iy4o6tOr0h6enrq4sWLkqRVq1apSZMmkq59F/f1SiUAAADyH6fPkaxbt6769OmjyMhIbdmyRXPnzpUk7d+/XyVLlnRydHCWbT9v1fTPP9PeX3/RiRMnNGbcRD3U+P8WX121coXmffWl9u7Zo+Tks5o7f5EqV6lid44/ExL0wfvvKn77NqWlpSmybj29/sYgFS2W+28YAGBOZM0K6t0hSjWrllZYcX892fsTffvDLlt764fuUdfH6+reKqVVNMBbdZ6K1a79f9vaA/2KaNBLLdT4gcoqFRqok2fO69sfdmnYx0uUcv6yrV9WlawOr0/TvO+3OfYNosBw5PI/BZnTK5ITJkyQu7u75s+fr0mTJqlEiRKSpGXLlqlp06ZOjg7OcunSRVWqVEkD3xqSbfu999ZUrz6vZdl+8eJFvfhCZ1ksFk39fIZmfDFHV65cUc+YF5WRkeHI0AH8g7eXVbv3/61esXOzbC/i5amN8Yf01rhFWbaHFfdXWHF/DRyzULWeGKVuQ77Qww9W1eQh7TP17TZ4pspGDbRti9fuzMu3AiALTq9Ili5dWkuWLMm0f8yYMU6IBvlF3XoNVLdeg2zbWz3SRpL0999/Zdkev2O7jv79t+bOXyQfHx9J0ohR76pexH3asnmTHoh4MM9jBpDZip9+1Yqffs22fc7SrZKk0mFBWbb/euiYnn7tU9vrw3+d1NAJ3+rztzuoUCE3paf/3z8Mk89dUtKpc3kUOVwNBUlznF6R3L59u3bv3m17/c0336hNmzZ64403lJaW5sTIcDtLS0uTxWKx+2J6q9UqNzc37djOUBdwO/PzLayUC5ftkkhJGjvwSf255h39OPM1dWj9gJOiw+3KzWJx2FaQOT2R7N69u/bv3y9J+v3339WuXTsVKVJE8+bNU//+/W96vJkvQkfBd/c9NeTl5aWxH7ynS5cu6eLFi/rgvXeVnp6uEydOODs8ACYVDfDWwG7N9PmCjXb7h328RM/2/1wtX5qgRavj9dHAp/Ty09mPagDIG05PJPfv368aNWpIkubNm6f69etr9uzZmj59uhYsWHDT47P6IvT33s3+i9DhGoKCgvTehx9p3bq1irjvXtV9oLbOnUtRlarV5JZfVp0FkCu+3oW1cNxL2vv7MY2cstSu7Z2pyxW383ft3PeXPpi+Sh/OWKXeHaKyOROQmcWBW0Hm9DmShmHYHn5YtWqVWrZsKUkqVaqUTp48edPjs/oidKNQ3q7ajtvTg5F1tXT5Kp05c1qFCrnLz89PD9WPVMlmzZ0dGoBc8ili1eKJL+vcxct6qs9UXb1644fmtu4+ojdeaCZPD3elXWFxYcBRnJ5I1q5dWyNHjlRUVJTWrVunSZMmSZIOHz6skJCQmx5vtVozfd0PC5LjnwIDr03i37wpTqdPn1LDRg85OSIAueHrXVjffhyj1LSrerzXFKWm3fwP+bsrldTp5Askkci5gl46dBCnJ5Jjx45V+/bttWjRIr355pu64447JEnz58/Xgw/yZK2runjhghISEmyv//7rL/22d6/8/f0VFh6u5LNndezYMZ04ce0L6Y8cOSxJKlasmIoVLy5JWrRwgcqXr6DAwCDt3LlDo2NH6dkOnVS2XPlb/4YAF+Xt5akKpYrbXpctUVR331lCZ1Iu6s/EMwr0K6JSoYEKC/aXJN1Z9loBIelUipJOnZOvd2Et+ThGXoU99fybM+TnXVh+3oUlSSfOnFdGhqHm9e9ScFFfbdl1RJfTrqjxA5XVv0sTjf3f6lv/hgEX4/SvSMzO5cuXVahQIXl4eOT+WP4BetvbumWzuj7fIdP+R1o/qhGj3tE3C7/W4LcGZmp/8eUeeimmpyRp7Ifva/GihUpOTlZ4iRJ64sl2eq5jJ1kK+BN0BR1fkXh7qVerolZ8+mqm/TMXb9ILQ77Qs63qaOrw5zK1j5z8nd6e8l22x0tSpeaDlXDstB5+sIqG93xEFUoVl8Vi0aE/T2jqvB/1+dcblU//ikM2nPkViZsPJTvs3HUq+Dvs3M6WbxPJ/4JEEii4SCSBgotE8vbj9KHt9PR0jRkzRl999ZUSEhIyrR15+vRpJ0UGAABcBYNV5jh9+Z9hw4bpww8/1FNPPaXk5GT16dNHbdu2lZubm4YOHers8AAAgAtg+R9znJ5Izpo1S1OnTlXfvn3l7u6up59+Wp9++qkGDx6sTZs2OTs8AAAAZMPpiWRiYqKqV68uSfLx8VFy8rU5Ci1bttTSpUtvdCgAAEDeoCRpitMTyZIlS+rYsWOSpAoVKmjFihWSpK1bt2ZaHxIAAAD5h9MTyUcffVSrV19b66tnz54aNGiQKlasqA4dOqhz585Ojg4AALgCiwP/K8ic/tT2O++8Y/v/p556SqVLl1ZcXJwqVqyoVq1aOTEyAAAA3IjTE8l/i4iIUEREhLPDAAAALoTlf8xxSiK5ePHiHPd95JFHHBgJAAAAzHJKItmmTZsc9bNYLEpPT3dsMAAAwOVRkDTHKYlkRkaGMy4LAACQNTJJU5z+1DYAAABuT05LJNesWaOqVasqJSUlU1tycrKqVaum9evXOyEyAADgalj+xxynJZJjx45Vt27d5Ofnl6nN399f3bt315gxY5wQGQAAAHLCaYnkzp071bRp02zbmzRpom3btt3CiAAAgKuyWBy3FWROSySTkpLk4eGRbbu7u7tOnDhxCyMCAABAbjgtkSxRooR++eWXbNt37dqlsLCwWxgRAABwVRYHbgWZ0xLJ5s2ba9CgQbp8+XKmtkuXLmnIkCFq2bKlEyIDAABATlgMwzCcceGkpCTVrFlThQoVUo8ePVSpUiVJ0m+//aaJEycqPT1d27dvV0hISK7PfflqXkcLIL8IvK+Hs0MA4CCXdkxw2rV3/nnOYee+p5Svw87tbE77ru2QkBBt3LhRL730kgYOHKjr+azFYlF0dLQmTpxoKokEAADIrYK+TI+jOC2RlKQyZcrou+++05kzZ3Tw4EEZhqGKFSsqMDDQmWEBAAAgB5yaSF4XGBio++67z9lhAAAAF1XQl+lxFL4iEQAAAKbki4okAACAM1GQNIeKJAAAAEyhIgkAAEBJ0hQqkgAAADCFiiQAAHB5rCNpDhVJAAAAmEJFEgAAuDzWkTSHRBIAALg88khzGNoGAACAKVQkAQAAKEmaQkUSAAAAplCRBAAALo/lf8yhIgkAAABTqEgCAACXx/I/5lCRBAAAgClUJAEAgMujIGkOiSQAAACZpCkMbQMAAMAUKpIAAMDlsfyPOVQkAQAAYAoVSQAA4PJY/sccKpIAAAAwhYokAABweRQkzaEiCQAAAFOoSAIAAFCSNIVEEgAAuDyW/zGHoW0AAACYQkUSAAC4PJb/MYeKJAAAAEyhIgkAAFweBUlzqEgCAADAFCqSAAAAlCRNoSIJAAAAU6hIAgAAl8c6kuaQSAIAAJfH8j/mMLQNAAAAU6hIAgAAl0dB0hwqkgAAADCFiiQAAHB5zJE0h4okAAAATKEiCQAAwCxJU6hIAgAAwBQqkgAAwOUxR9IcEkkAAODyyCPNYWgbAAAAplCRBAAALo+hbXOoSAIAAOQTsbGxuu++++Tr66vg4GC1adNG+/bts+tz+fJlxcTEqGjRovLx8dFjjz2mpKQkuz4JCQlq0aKFihQpouDgYPXr109Xr17N83hJJAEAgMuzOPC/3Fi3bp1iYmK0adMmrVy5UleuXFGTJk104cIFW5/evXvr22+/1bx587Ru3TodPXpUbdu2tbWnp6erRYsWSktL08aNGzVjxgxNnz5dgwcPzrP7dZ3FMAwjz8/qZJfzPuEGkE8E3tfD2SEAcJBLOyY47dqJyVccdu5Qfw/Tx544cULBwcFat26d6tevr+TkZBUvXlyzZ8/W448/Lkn67bffVKVKFcXFxemBBx7QsmXL1LJlSx09elQhISGSpMmTJ2vAgAE6ceKEPD098+R9SVQkAQAArj227aAtNTVVKSkpdltqamqOwkpOTpYkBQUFSZK2bdumK1euKCoqytancuXKKl26tOLi4iRJcXFxql69ui2JlKTo6GilpKRoz549ub83N0AiCQAA4ECxsbHy9/e322JjY296XEZGhnr16qXIyEjdddddkqTExER5enoqICDArm9ISIgSExNtff6ZRF5vv96Wl3hqGwAAuDxHPrQ9cOBA9enTx26f1Wq96XExMTH65ZdftGHDBkeF9p+RSAIAAJfnyOV/rFZrjhLHf+rRo4eWLFmi9evXq2TJkrb9oaGhSktL09mzZ+2qkklJSQoNDbX12bJli935rj/Vfb1PXmFoGwAAIJ8wDEM9evTQwoULtWbNGpUrV86uvVatWvLw8NDq1att+/bt26eEhARFRERIkiIiIrR7924dP37c1mflypXy8/NT1apV8zReKpIAAMDl5XaZHkeJiYnR7Nmz9c0338jX19c2p9Hf319eXl7y9/dXly5d1KdPHwUFBcnPz089e/ZURESEHnjgAUlSkyZNVLVqVT333HMaPXq0EhMT9dZbbykmJibXldGbYfkfALcVlv8BCi5nLv9z4pzjkofivjmv21myGWOfNm2aOnXqJOnaguR9+/bVnDlzlJqaqujoaH388cd2w9Z//PGHXnrpJf3www/y9vZWx44d9c4778jdPW9riCSSAG4rJJJAweXURPK8AxNJn4I7AMwcSQAAAJhScFNkAACAHMofMyRvP1QkAQAAYAoVSQAA4PIcuY5kQUYiCQAAXF5+Wf7ndsPQNgAAAEyhIgkAAFweQ9vmUJEEAACAKSSSAAAAMIVEEgAAAKYwRxIAALg85kiaQ0USAAAAplCRBAAALo91JM0hkQQAAC6PoW1zGNoGAACAKVQkAQCAy6MgaQ4VSQAAAJhCRRIAAICSpClUJAEAAGAKFUkAAODyWP7HHCqSAAAAMIWKJAAAcHmsI2kOFUkAAACYQkUSAAC4PAqS5pBIAgAAkEmawtA2AAAATKEiCQAAXB7L/5hDRRIAAACmUJEEAAAuj+V/zKEiCQAAAFMshmEYzg4CMCs1NVWxsbEaOHCgrFars8MBkIf4fAP5H4kkbmspKSny9/dXcnKy/Pz8nB0OgDzE5xvI/xjaBgAAgCkkkgAAADCFRBIAAACmkEjitma1WjVkyBAm4gMFEJ9vIP/jYRsAAACYQkUSAAAAppBIAgAAwBQSSQAAAJhCIol8w2KxaNGiRc4OA4AD8PkGCiYSSdwSiYmJ6tmzp8qXLy+r1apSpUqpVatWWr16tbNDkyQZhqHBgwcrLCxMXl5eioqK0oEDB5wdFnBbyO+f76+//lpNmjRR0aJFZbFYFB8f7+yQgAKDRBIOd+TIEdWqVUtr1qzRe++9p927d2v58uVq1KiRYmJinB2eJGn06NEaN26cJk+erM2bN8vb21vR0dG6fPmys0MD8rXb4fN94cIF1a1bV++++66zQwEKHgNwsGbNmhklSpQwzp8/n6ntzJkztv+XZCxcuND2un///kbFihUNLy8vo1y5csZbb71lpKWl2drj4+ONhg0bGj4+Poavr69Rs2ZNY+vWrYZhGMaRI0eMli1bGgEBAUaRIkWMqlWrGkuXLs0yvoyMDCM0NNR47733bPvOnj1rWK1WY86cOf/x3QMFW37/fP/T4cOHDUnGjh07TL9fAPbcnZzHooA7ffq0li9frrffflve3t6Z2gMCArI91tfXV9OnT1d4eLh2796tbt26ydfXV/3795cktW/fXvfee68mTZqkQoUKKT4+Xh4eHpKkmJgYpaWlaf369fL29tavv/4qHx+fLK9z+PBhJSYmKioqyrbP399fderUUVxcnNq1a/cf7gBQcN0On28AjkUiCYc6ePCgDMNQ5cqVc33sW2+9Zfv/smXL6rXXXtOXX35p+4smISFB/fr1s527YsWKtv4JCQl67LHHVL16dUlS+fLls71OYmKiJCkkJMRuf0hIiK0NQGa3w+cbgGMxRxIOZfyHL06aO3euIiMjFRoaKh8fH7311ltKSEiwtffp00ddu3ZVVFSU3nnnHR06dMjW9sorr2jkyJGKjIzUkCFDtGvXrv/0PgBkxucbAIkkHKpixYqyWCz67bffcnVcXFyc2rdvr+bNm2vJkiXasWOH3nzzTaWlpdn6DB06VHv27FGLFi20Zs0aVa1aVQsXLpQkde3aVb///ruee+457d69W7Vr19b48eOzvFZoaKgkKSkpyW5/UlKSrQ1AZrfD5xuAgzl3iiZcQdOmTXM9Gf/99983ypcvb9e3S5cuhr+/f7bXadeundGqVass215//XWjevXqWbZdf9jm/ffft+1LTk7mYRsgB/L75/ufeNgGyHtUJOFwEydOVHp6uu6//34tWLBABw4c0N69ezVu3DhFRERkeUzFihWVkJCgL7/8UocOHdK4ceNs1QhJunTpknr06KEffvhBf/zxh3766Sdt3bpVVapUkST16tVL33//vQ4fPqzt27dr7dq1trZ/s1gs6tWrl0aOHKnFixdr9+7d6tChg8LDw9WmTZs8vx9AQZLfP9/StYeC4uPj9euvv0qS9u3bp/j4eOZAA3nB2ZksXMPRo0eNmJgYo0yZMoanp6dRokQJ45FHHjHWrl1r66N/LQ/Sr18/o2jRooaPj4/x1FNPGWPGjLFVLFJTU4127doZpUqVMjw9PY3w8HCjR48exqVLlwzDMIwePXoYFSpUMKxWq1G8eHHjueeeM06ePJltfBkZGcagQYOMkJAQw2q1Go0bNzb27dvniFsBFDj5/fM9bdo0Q1KmbciQIQ64G4BrsRjGf5gtDQAAAJfF0DYAAABMIZEEAACAKSSSAAAAMIVEEgAAAKaQSAIAAMAUEkkAAACYQiIJAAAAU0gkAQAAYAqJJIB8q1OnTnZfU9mwYUP16tXrlsfxww8/yGKx6OzZs7f82gCQn5FIAsi1Tp06yWKxyGKxyNPTU3fccYeGDx+uq1evOvS6X3/9tUaMGJGjviR/AOB47s4OAMDtqWnTppo2bZpSU1P13XffKSYmRh4eHho4cKBdv7S0NHl6eubJNYOCgvLkPACAvEFFEoApVqtVoaGhKlOmjF566SVFRUVp8eLFtuHot99+W+Hh4apUqZIk6c8//9STTz6pgIAABQUFqXXr1jpy5IjtfOnp6erTp48CAgJUtGhR9e/fX4Zh2F3z30PbqampGjBggEqVKiWr1ao77rhDn332mY4cOaJGjRpJkgIDA2WxWNSpUydJUkZGhmJjY1WuXDl5eXnpnnvu0fz58+2u89133+nOO++Ul5eXGjVqZBcnAOD/kEgCyBNeXl5KS0uTJK1evVr79u3TypUrtWTJEl25ckXR0dHy9fXVjz/+qJ9++kk+Pj5q2rSp7ZgPPvhA06dP1+eff64NGzbo9OnTWrhw4Q2v2aFDB82ZM0fjxo3T3r17NWXKFPn4+KhUqVJasGCBJGnfvn06duyYPvroI0lSbGys/ve//2ny5Mnas2ePevfurWeffVbr1q2TdC3hbdu2rVq1aqX4+Hh17dpVr7/+uqNuGwDc1hjaBvCfGIah1atX6/vvv1fPnj114sQJeXt769NPP7UNaX/xxRfKyMjQp59+KovFIkmaNm2aAgIC9MMPP6hJkyYaO3asBg4cqLZt20qSJk+erO+//z7b6+7fv19fffWVVq5cqaioKElS+fLlbe3Xh8GDg4MVEBAg6VoFc9SoUVq1apUiIiJsx2zYsEFTpkxRgwYNNGnSJFWoUEEffPCBJKlSpUravXu33n333Ty8awBQMJBIAjBlyZIl8vHx0ZUrV5SRkaFnnnlGQ4cOVUxMjKpXr243L3Lnzp06ePCgfH197c5x+fJlHTp0SMnJyTp27Jjq1Klja3N3d1ft2rUzDW9fFx8fr0KFCqlBgwY5jvngwYO6ePGiHn74Ybv9aWlpuvfeeyVJe/futYtDki3pBADYI5EEYEqjRo00adIkeXp6Kjw8XO7u//fHibe3t13f8+fPq1atWpo1a1am8xQvXtzU9b28vHJ9zPnz5yVJS5cuVYkSJezarFarqTgAwJWRSAIwxdvbW3fccUeO+tasWVNz585VcHCw/Pz8suwTFhamzZs3q379+pKkq1evatu2bapZs2aW/atXr66MjAytW7fONrT9T9crounp6bZ9VatWldVqVUJCQraVzCpVqmjx4sV2+zZt2nTzNwkALoiHbQA4XPv27VWsWDG1bt1aP/74ow4fPqwffvhBr7zyiv766y9J0quvvqp33nlHixYt0m+//aaXX375hmtAli1bVh07dlTnzp21aNEi2zm/+uorSVKZMmVksVi0ZMkSnThxQufPn5evr69ee+019e7dWzNmzNChQ4e0fft2jR8/XjNmzJAkvfjiizpw4ID69eunffv2afbs2Zo+fbqjbxEA3JZIJAE4XJEiRbR+/XqVLl1abdu2VZUqVdSlSxddvnzZVqHs27evnnvuOXXs2FERERHy9fXVo48+esPzTpo0SY8//rhefvllVa5cWd26ddOFCxckSSVKlNCwYcP0+uuvKyQkRD169JAkjRgxQoMGDVJsbKyqVKmipk2baunSpSpXrpwkqXTp0lqwYIEWLVqke+65R5MnT9aoUaMceHcA4PZlMbKbyQ4AAADcABVJAAAAmEIiCQAAAFNIJAEAAGAKiSQAAABMIZEEAACAKSSSAAAAMIVEEgAAAKaQSAIAAMAUEkkAAACYQiIJAAAAU0gkAQAAYMr/Axj0gzhnaA6HAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 800x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"['logistic_regression_model.pkl']"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, roc_auc_score, roc_curve\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"import joblib\n",
"\n",
"# Veriyi yükleme\n",
"data = pd.read_csv('data_vectorized.csv')\n",
"\n",
"# Veriyi ayırma (özellikler ve etiketler)\n",
"X = data.drop(columns=['Label']) # Etiket hariç tüm sütunlar\n",
"y = data['Label'] # Etiket\n",
"\n",
"# Veriyi eğitim ve test olarak ayırma\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
"\n",
"# Logistic Regression modeli oluşturma ve eğitim\n",
"log_reg = LogisticRegression(max_iter=1000)\n",
"log_reg.fit(X_train, y_train)\n",
"\n",
"# Test seti üzerinde tahmin yapma\n",
"y_pred = log_reg.predict(X_test)\n",
"\n",
"# Doğruluk hesaplama\n",
"accuracy = accuracy_score(y_test, y_pred)\n",
"print(f\"Logistic Regression Accuracy: {accuracy:.2f}\")\n",
"\n",
"# Precision, Recall, F1-Score\n",
"print(\"\\nClassification Report:\")\n",
"print(classification_report(y_test, y_pred))\n",
"\n",
"# Confusion Matrix\n",
"conf_matrix = confusion_matrix(y_test, y_pred)\n",
"plt.figure(figsize=(8, 6))\n",
"sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=[\"Class 0\", \"Class 1\"], yticklabels=[\"Class 0\", \"Class 1\"])\n",
"plt.title(\"Logistic Regression - Confusion Matrix\")\n",
"plt.xlabel(\"Predicted\")\n",
"plt.ylabel(\"Actual\")\n",
"plt.show()\n",
"\n",
"# ROC-AUC Hesaplama ve Grafik\n",
"if len(set(y_test)) == 2: # İkili sınıflandırma kontrolü\n",
" roc_auc = roc_auc_score(y_test, log_reg.predict_proba(X_test)[:, 1]) # Tahmin olasılıkları\n",
" fpr, tpr, thresholds = roc_curve(y_test, log_reg.predict_proba(X_test)[:, 1])\n",
" plt.figure(figsize=(8, 6))\n",
" plt.plot(fpr, tpr, label=f\"ROC-AUC: {roc_auc:.2f}\")\n",
" plt.plot([0, 1], [0, 1], 'k--', label=\"Random Guess\")\n",
" plt.xlabel(\"False Positive Rate\")\n",
" plt.ylabel(\"True Positive Rate\")\n",
" plt.title(\"Logistic Regression - ROC Curve\")\n",
" plt.legend()\n",
" plt.show()\n",
"\n",
"# Logistic Regression modelini kaydetme\n",
"joblib.dump(log_reg, 'logistic_regression_model.pkl')\n",
"\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|