HZM
2768 lines
644 KiB
Plaintext
2768 lines
644 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "d7a17776",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Python: 3.9.13 (main, Aug 25 2022, 23:51:50) [MSC v.1916 64 bit (AMD64)]\n",
|
|
"Pandas: 1.4.4\n",
|
|
"Numpy: 1.23.5\n",
|
|
"Sklearn: 1.3.0\n",
|
|
"Matplotlib: 3.6.2\n",
|
|
"Keras: 2.13.1\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import sys\n",
|
|
"import pandas as pd\n",
|
|
"import numpy as np\n",
|
|
"import sklearn\n",
|
|
"import matplotlib\n",
|
|
"import keras\n",
|
|
"import tensorflow as tf\n",
|
|
"\n",
|
|
"print('Python: {}'.format(sys.version))\n",
|
|
"print('Pandas: {}'.format(pd.__version__))\n",
|
|
"print('Numpy: {}'.format(np.__version__))\n",
|
|
"print('Sklearn: {}'.format(sklearn.__version__))\n",
|
|
"print('Matplotlib: {}'.format(matplotlib.__version__))\n",
|
|
"print('Keras: {}'.format(keras.__version__))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"id": "c287b0aa",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from pandas.plotting import scatter_matrix\n",
|
|
"from sklearn.preprocessing import LabelEncoder\n",
|
|
"import seaborn as sns"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "98d82692",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 数据预处理与可视化"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "15204f24",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Shape of DataFrame: (301, 14)\n",
|
|
"age 67.0\n",
|
|
"sex 1.0\n",
|
|
"cp 4.0\n",
|
|
"trestbps 160.0\n",
|
|
"chol 286.0\n",
|
|
"fbs 0.0\n",
|
|
"restecg 2.0\n",
|
|
"thalach 108.0\n",
|
|
"exang 1.0\n",
|
|
"oldpeak 1.5\n",
|
|
"slope 2.0\n",
|
|
"ca 3.0\n",
|
|
"thal 1.0\n",
|
|
"target 1.0\n",
|
|
"Name: 1, dtype: float64\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"cleveland = pd.read_csv('heart.csv')\n",
|
|
"cleveland.drop(index=247 , inplace=True)\n",
|
|
"cleveland.drop(index=252 , inplace=True)\n",
|
|
"l = LabelEncoder()\n",
|
|
"cleveland['thal'] = l.fit_transform(cleveland['thal'])\n",
|
|
"print( 'Shape of DataFrame: {}'.format(cleveland.shape))\n",
|
|
"print (cleveland.loc[1])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"id": "d64fdf9d",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>age</th>\n",
|
|
" <th>sex</th>\n",
|
|
" <th>cp</th>\n",
|
|
" <th>trestbps</th>\n",
|
|
" <th>chol</th>\n",
|
|
" <th>fbs</th>\n",
|
|
" <th>restecg</th>\n",
|
|
" <th>thalach</th>\n",
|
|
" <th>exang</th>\n",
|
|
" <th>oldpeak</th>\n",
|
|
" <th>slope</th>\n",
|
|
" <th>ca</th>\n",
|
|
" <th>thal</th>\n",
|
|
" <th>target</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>280</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>170</td>\n",
|
|
" <td>326</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.4</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>281</th>\n",
|
|
" <td>46</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>231</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>147</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>282</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>239</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>142</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>283</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>258</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>157</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>284</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>134</td>\n",
|
|
" <td>201</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>158</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.8</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>285</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>122</td>\n",
|
|
" <td>222</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>286</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>115</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>185</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>287</th>\n",
|
|
" <td>34</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>182</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>174</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>288</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>303</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>159</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>289</th>\n",
|
|
" <td>71</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>265</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>290</th>\n",
|
|
" <td>49</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>188</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>139</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>291</th>\n",
|
|
" <td>54</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>108</td>\n",
|
|
" <td>309</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>156</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>292</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>177</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>162</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>293</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>229</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.4</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>294</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>295</th>\n",
|
|
" <td>39</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>219</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>296</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>145</td>\n",
|
|
" <td>307</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>146</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>297</th>\n",
|
|
" <td>56</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>125</td>\n",
|
|
" <td>249</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>144</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>298</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>190</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>299</th>\n",
|
|
" <td>43</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>132</td>\n",
|
|
" <td>341</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>136</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>300</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>135</td>\n",
|
|
" <td>254</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>127</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.8</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>301</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>256</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>302</th>\n",
|
|
" <td>63</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>407</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>154</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" age sex cp trestbps chol fbs restecg thalach exang oldpeak \\\n",
|
|
"280 59 1 4 170 326 0 2 140 1 3.4 \n",
|
|
"281 46 1 3 150 231 0 0 147 0 3.6 \n",
|
|
"282 59 1 4 110 239 0 2 142 1 1.2 \n",
|
|
"283 60 0 4 150 258 0 2 157 0 2.6 \n",
|
|
"284 52 1 2 134 201 0 0 158 0 0.8 \n",
|
|
"285 48 1 4 122 222 0 2 186 0 0.0 \n",
|
|
"286 45 1 4 115 260 0 2 185 0 0.0 \n",
|
|
"287 34 1 1 118 182 0 2 174 0 0.0 \n",
|
|
"288 57 0 4 128 303 0 2 159 0 0.0 \n",
|
|
"289 71 0 3 110 265 1 2 130 0 0.0 \n",
|
|
"290 49 1 3 120 188 0 0 139 0 2.0 \n",
|
|
"291 54 1 2 108 309 0 0 156 0 0.0 \n",
|
|
"292 59 1 4 140 177 0 0 162 1 0.0 \n",
|
|
"293 57 1 3 128 229 0 2 150 0 0.4 \n",
|
|
"294 61 1 4 120 260 0 0 140 1 3.6 \n",
|
|
"295 39 1 4 118 219 0 0 140 0 1.2 \n",
|
|
"296 61 0 4 145 307 0 2 146 1 1.0 \n",
|
|
"297 56 1 4 125 249 1 2 144 1 1.2 \n",
|
|
"298 52 1 1 118 186 0 2 190 0 0.0 \n",
|
|
"299 43 0 4 132 341 1 2 136 1 3.0 \n",
|
|
"300 65 1 4 135 254 0 2 127 0 2.8 \n",
|
|
"301 48 1 4 130 256 1 2 150 1 0.0 \n",
|
|
"302 63 0 4 150 407 0 2 154 0 4.0 \n",
|
|
"\n",
|
|
" slope ca thal target \n",
|
|
"280 3 0 2 1 \n",
|
|
"281 2 0 1 0 \n",
|
|
"282 2 1 2 1 \n",
|
|
"283 2 2 2 1 \n",
|
|
"284 1 1 1 0 \n",
|
|
"285 1 0 1 0 \n",
|
|
"286 1 0 1 0 \n",
|
|
"287 1 0 1 0 \n",
|
|
"288 1 1 1 0 \n",
|
|
"289 1 1 1 0 \n",
|
|
"290 2 3 2 1 \n",
|
|
"291 1 0 2 0 \n",
|
|
"292 1 1 2 1 \n",
|
|
"293 2 1 2 0 \n",
|
|
"294 2 1 2 1 \n",
|
|
"295 2 0 2 1 \n",
|
|
"296 2 0 2 0 \n",
|
|
"297 2 1 1 0 \n",
|
|
"298 2 0 0 0 \n",
|
|
"299 2 0 2 1 \n",
|
|
"300 2 1 2 1 \n",
|
|
"301 1 2 2 1 \n",
|
|
"302 2 3 2 1 "
|
|
]
|
|
},
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"cleveland.loc[280:]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"id": "5ea77736",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>age</th>\n",
|
|
" <th>sex</th>\n",
|
|
" <th>cp</th>\n",
|
|
" <th>trestbps</th>\n",
|
|
" <th>chol</th>\n",
|
|
" <th>fbs</th>\n",
|
|
" <th>restecg</th>\n",
|
|
" <th>thalach</th>\n",
|
|
" <th>exang</th>\n",
|
|
" <th>oldpeak</th>\n",
|
|
" <th>slope</th>\n",
|
|
" <th>ca</th>\n",
|
|
" <th>thal</th>\n",
|
|
" <th>target</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>280</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>170</td>\n",
|
|
" <td>326</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.4</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>281</th>\n",
|
|
" <td>46</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>231</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>147</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>282</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>239</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>142</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>283</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>258</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>157</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>284</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>134</td>\n",
|
|
" <td>201</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>158</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.8</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>285</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>122</td>\n",
|
|
" <td>222</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>286</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>115</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>185</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>287</th>\n",
|
|
" <td>34</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>182</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>174</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>288</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>303</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>159</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>289</th>\n",
|
|
" <td>71</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>265</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>290</th>\n",
|
|
" <td>49</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>188</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>139</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>291</th>\n",
|
|
" <td>54</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>108</td>\n",
|
|
" <td>309</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>156</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>292</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>177</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>162</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>293</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>229</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.4</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>294</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>295</th>\n",
|
|
" <td>39</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>219</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>296</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>145</td>\n",
|
|
" <td>307</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>146</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>297</th>\n",
|
|
" <td>56</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>125</td>\n",
|
|
" <td>249</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>144</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>298</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>190</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>299</th>\n",
|
|
" <td>43</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>132</td>\n",
|
|
" <td>341</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>136</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>300</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>135</td>\n",
|
|
" <td>254</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>127</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.8</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>301</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>256</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>302</th>\n",
|
|
" <td>63</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>407</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>154</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" age sex cp trestbps chol fbs restecg thalach exang oldpeak \\\n",
|
|
"280 59 1 4 170 326 0 2 140 1 3.4 \n",
|
|
"281 46 1 3 150 231 0 0 147 0 3.6 \n",
|
|
"282 59 1 4 110 239 0 2 142 1 1.2 \n",
|
|
"283 60 0 4 150 258 0 2 157 0 2.6 \n",
|
|
"284 52 1 2 134 201 0 0 158 0 0.8 \n",
|
|
"285 48 1 4 122 222 0 2 186 0 0.0 \n",
|
|
"286 45 1 4 115 260 0 2 185 0 0.0 \n",
|
|
"287 34 1 1 118 182 0 2 174 0 0.0 \n",
|
|
"288 57 0 4 128 303 0 2 159 0 0.0 \n",
|
|
"289 71 0 3 110 265 1 2 130 0 0.0 \n",
|
|
"290 49 1 3 120 188 0 0 139 0 2.0 \n",
|
|
"291 54 1 2 108 309 0 0 156 0 0.0 \n",
|
|
"292 59 1 4 140 177 0 0 162 1 0.0 \n",
|
|
"293 57 1 3 128 229 0 2 150 0 0.4 \n",
|
|
"294 61 1 4 120 260 0 0 140 1 3.6 \n",
|
|
"295 39 1 4 118 219 0 0 140 0 1.2 \n",
|
|
"296 61 0 4 145 307 0 2 146 1 1.0 \n",
|
|
"297 56 1 4 125 249 1 2 144 1 1.2 \n",
|
|
"298 52 1 1 118 186 0 2 190 0 0.0 \n",
|
|
"299 43 0 4 132 341 1 2 136 1 3.0 \n",
|
|
"300 65 1 4 135 254 0 2 127 0 2.8 \n",
|
|
"301 48 1 4 130 256 1 2 150 1 0.0 \n",
|
|
"302 63 0 4 150 407 0 2 154 0 4.0 \n",
|
|
"\n",
|
|
" slope ca thal target \n",
|
|
"280 3 0 2 1 \n",
|
|
"281 2 0 1 0 \n",
|
|
"282 2 1 2 1 \n",
|
|
"283 2 2 2 1 \n",
|
|
"284 1 1 1 0 \n",
|
|
"285 1 0 1 0 \n",
|
|
"286 1 0 1 0 \n",
|
|
"287 1 0 1 0 \n",
|
|
"288 1 1 1 0 \n",
|
|
"289 1 1 1 0 \n",
|
|
"290 2 3 2 1 \n",
|
|
"291 1 0 2 0 \n",
|
|
"292 1 1 2 1 \n",
|
|
"293 2 1 2 0 \n",
|
|
"294 2 1 2 1 \n",
|
|
"295 2 0 2 1 \n",
|
|
"296 2 0 2 0 \n",
|
|
"297 2 1 1 0 \n",
|
|
"298 2 0 0 0 \n",
|
|
"299 2 0 2 1 \n",
|
|
"300 2 1 2 1 \n",
|
|
"301 1 2 2 1 \n",
|
|
"302 2 3 2 1 "
|
|
]
|
|
},
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"data = cleveland[~cleveland.isin(['?'])]\n",
|
|
"data.loc[280:]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"id": "0e8b87d8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>age</th>\n",
|
|
" <th>sex</th>\n",
|
|
" <th>cp</th>\n",
|
|
" <th>trestbps</th>\n",
|
|
" <th>chol</th>\n",
|
|
" <th>fbs</th>\n",
|
|
" <th>restecg</th>\n",
|
|
" <th>thalach</th>\n",
|
|
" <th>exang</th>\n",
|
|
" <th>oldpeak</th>\n",
|
|
" <th>slope</th>\n",
|
|
" <th>ca</th>\n",
|
|
" <th>thal</th>\n",
|
|
" <th>target</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>280</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>170</td>\n",
|
|
" <td>326</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.4</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>281</th>\n",
|
|
" <td>46</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>231</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>147</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>282</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>239</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>142</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>283</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>258</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>157</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>284</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>134</td>\n",
|
|
" <td>201</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>158</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.8</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>285</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>122</td>\n",
|
|
" <td>222</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>286</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>115</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>185</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>287</th>\n",
|
|
" <td>34</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>182</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>174</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>288</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>303</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>159</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>289</th>\n",
|
|
" <td>71</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>110</td>\n",
|
|
" <td>265</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>290</th>\n",
|
|
" <td>49</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>188</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>139</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>291</th>\n",
|
|
" <td>54</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>108</td>\n",
|
|
" <td>309</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>156</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>292</th>\n",
|
|
" <td>59</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>177</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>162</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>293</th>\n",
|
|
" <td>57</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>128</td>\n",
|
|
" <td>229</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.4</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>294</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>120</td>\n",
|
|
" <td>260</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.6</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>295</th>\n",
|
|
" <td>39</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>219</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>140</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>296</th>\n",
|
|
" <td>61</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>145</td>\n",
|
|
" <td>307</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>146</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>297</th>\n",
|
|
" <td>56</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>125</td>\n",
|
|
" <td>249</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>144</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>298</th>\n",
|
|
" <td>52</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>118</td>\n",
|
|
" <td>186</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>190</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>0</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>299</th>\n",
|
|
" <td>43</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>132</td>\n",
|
|
" <td>341</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>136</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>300</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>135</td>\n",
|
|
" <td>254</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>127</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2.8</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>301</th>\n",
|
|
" <td>48</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>130</td>\n",
|
|
" <td>256</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>302</th>\n",
|
|
" <td>63</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>150</td>\n",
|
|
" <td>407</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>154</td>\n",
|
|
" <td>0</td>\n",
|
|
" <td>4.0</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>1</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" age sex cp trestbps chol fbs restecg thalach exang oldpeak \\\n",
|
|
"280 59 1 4 170 326 0 2 140 1 3.4 \n",
|
|
"281 46 1 3 150 231 0 0 147 0 3.6 \n",
|
|
"282 59 1 4 110 239 0 2 142 1 1.2 \n",
|
|
"283 60 0 4 150 258 0 2 157 0 2.6 \n",
|
|
"284 52 1 2 134 201 0 0 158 0 0.8 \n",
|
|
"285 48 1 4 122 222 0 2 186 0 0.0 \n",
|
|
"286 45 1 4 115 260 0 2 185 0 0.0 \n",
|
|
"287 34 1 1 118 182 0 2 174 0 0.0 \n",
|
|
"288 57 0 4 128 303 0 2 159 0 0.0 \n",
|
|
"289 71 0 3 110 265 1 2 130 0 0.0 \n",
|
|
"290 49 1 3 120 188 0 0 139 0 2.0 \n",
|
|
"291 54 1 2 108 309 0 0 156 0 0.0 \n",
|
|
"292 59 1 4 140 177 0 0 162 1 0.0 \n",
|
|
"293 57 1 3 128 229 0 2 150 0 0.4 \n",
|
|
"294 61 1 4 120 260 0 0 140 1 3.6 \n",
|
|
"295 39 1 4 118 219 0 0 140 0 1.2 \n",
|
|
"296 61 0 4 145 307 0 2 146 1 1.0 \n",
|
|
"297 56 1 4 125 249 1 2 144 1 1.2 \n",
|
|
"298 52 1 1 118 186 0 2 190 0 0.0 \n",
|
|
"299 43 0 4 132 341 1 2 136 1 3.0 \n",
|
|
"300 65 1 4 135 254 0 2 127 0 2.8 \n",
|
|
"301 48 1 4 130 256 1 2 150 1 0.0 \n",
|
|
"302 63 0 4 150 407 0 2 154 0 4.0 \n",
|
|
"\n",
|
|
" slope ca thal target \n",
|
|
"280 3 0 2 1 \n",
|
|
"281 2 0 1 0 \n",
|
|
"282 2 1 2 1 \n",
|
|
"283 2 2 2 1 \n",
|
|
"284 1 1 1 0 \n",
|
|
"285 1 0 1 0 \n",
|
|
"286 1 0 1 0 \n",
|
|
"287 1 0 1 0 \n",
|
|
"288 1 1 1 0 \n",
|
|
"289 1 1 1 0 \n",
|
|
"290 2 3 2 1 \n",
|
|
"291 1 0 2 0 \n",
|
|
"292 1 1 2 1 \n",
|
|
"293 2 1 2 0 \n",
|
|
"294 2 1 2 1 \n",
|
|
"295 2 0 2 1 \n",
|
|
"296 2 0 2 0 \n",
|
|
"297 2 1 1 0 \n",
|
|
"298 2 0 0 0 \n",
|
|
"299 2 0 2 1 \n",
|
|
"300 2 1 2 1 \n",
|
|
"301 1 2 2 1 \n",
|
|
"302 2 3 2 1 "
|
|
]
|
|
},
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"data = data.dropna(axis=0)\n",
|
|
"data.loc[280:]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"id": "435293fa",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(301, 14)\n",
|
|
"age int64\n",
|
|
"sex int64\n",
|
|
"cp int64\n",
|
|
"trestbps int64\n",
|
|
"chol int64\n",
|
|
"fbs int64\n",
|
|
"restecg int64\n",
|
|
"thalach int64\n",
|
|
"exang int64\n",
|
|
"oldpeak float64\n",
|
|
"slope int64\n",
|
|
"ca int64\n",
|
|
"thal int32\n",
|
|
"target int64\n",
|
|
"dtype: object\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(data.shape)\n",
|
|
"print(data.dtypes)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "55e85c94",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>age</th>\n",
|
|
" <th>sex</th>\n",
|
|
" <th>cp</th>\n",
|
|
" <th>trestbps</th>\n",
|
|
" <th>chol</th>\n",
|
|
" <th>fbs</th>\n",
|
|
" <th>restecg</th>\n",
|
|
" <th>thalach</th>\n",
|
|
" <th>exang</th>\n",
|
|
" <th>oldpeak</th>\n",
|
|
" <th>slope</th>\n",
|
|
" <th>ca</th>\n",
|
|
" <th>thal</th>\n",
|
|
" <th>target</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>count</th>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" <td>301.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>mean</th>\n",
|
|
" <td>54.571429</td>\n",
|
|
" <td>0.677741</td>\n",
|
|
" <td>3.126246</td>\n",
|
|
" <td>131.684385</td>\n",
|
|
" <td>246.817276</td>\n",
|
|
" <td>0.146179</td>\n",
|
|
" <td>0.996678</td>\n",
|
|
" <td>149.308970</td>\n",
|
|
" <td>0.328904</td>\n",
|
|
" <td>1.061462</td>\n",
|
|
" <td>1.594684</td>\n",
|
|
" <td>0.677741</td>\n",
|
|
" <td>1.322259</td>\n",
|
|
" <td>0.275748</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>std</th>\n",
|
|
" <td>9.041702</td>\n",
|
|
" <td>0.468120</td>\n",
|
|
" <td>1.008634</td>\n",
|
|
" <td>17.709415</td>\n",
|
|
" <td>52.186619</td>\n",
|
|
" <td>0.353874</td>\n",
|
|
" <td>0.988259</td>\n",
|
|
" <td>22.953015</td>\n",
|
|
" <td>0.470597</td>\n",
|
|
" <td>1.167295</td>\n",
|
|
" <td>0.617931</td>\n",
|
|
" <td>0.937623</td>\n",
|
|
" <td>0.582354</td>\n",
|
|
" <td>0.447634</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>min</th>\n",
|
|
" <td>29.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>94.000000</td>\n",
|
|
" <td>126.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>71.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>25%</th>\n",
|
|
" <td>48.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>3.000000</td>\n",
|
|
" <td>120.000000</td>\n",
|
|
" <td>211.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>132.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>50%</th>\n",
|
|
" <td>56.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>3.000000</td>\n",
|
|
" <td>130.000000</td>\n",
|
|
" <td>242.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>152.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>0.800000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>75%</th>\n",
|
|
" <td>61.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>4.000000</td>\n",
|
|
" <td>140.000000</td>\n",
|
|
" <td>275.000000</td>\n",
|
|
" <td>0.000000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>165.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>1.600000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>max</th>\n",
|
|
" <td>77.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>4.000000</td>\n",
|
|
" <td>200.000000</td>\n",
|
|
" <td>564.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>202.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" <td>6.200000</td>\n",
|
|
" <td>3.000000</td>\n",
|
|
" <td>3.000000</td>\n",
|
|
" <td>2.000000</td>\n",
|
|
" <td>1.000000</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" age sex cp trestbps chol fbs \\\n",
|
|
"count 301.000000 301.000000 301.000000 301.000000 301.000000 301.000000 \n",
|
|
"mean 54.571429 0.677741 3.126246 131.684385 246.817276 0.146179 \n",
|
|
"std 9.041702 0.468120 1.008634 17.709415 52.186619 0.353874 \n",
|
|
"min 29.000000 0.000000 0.000000 94.000000 126.000000 0.000000 \n",
|
|
"25% 48.000000 0.000000 3.000000 120.000000 211.000000 0.000000 \n",
|
|
"50% 56.000000 1.000000 3.000000 130.000000 242.000000 0.000000 \n",
|
|
"75% 61.000000 1.000000 4.000000 140.000000 275.000000 0.000000 \n",
|
|
"max 77.000000 1.000000 4.000000 200.000000 564.000000 1.000000 \n",
|
|
"\n",
|
|
" restecg thalach exang oldpeak slope ca \\\n",
|
|
"count 301.000000 301.000000 301.000000 301.000000 301.000000 301.000000 \n",
|
|
"mean 0.996678 149.308970 0.328904 1.061462 1.594684 0.677741 \n",
|
|
"std 0.988259 22.953015 0.470597 1.167295 0.617931 0.937623 \n",
|
|
"min 0.000000 71.000000 0.000000 0.000000 1.000000 0.000000 \n",
|
|
"25% 0.000000 132.000000 0.000000 0.000000 1.000000 0.000000 \n",
|
|
"50% 1.000000 152.000000 0.000000 0.800000 2.000000 0.000000 \n",
|
|
"75% 2.000000 165.000000 1.000000 1.600000 2.000000 1.000000 \n",
|
|
"max 2.000000 202.000000 1.000000 6.200000 3.000000 3.000000 \n",
|
|
"\n",
|
|
" thal target \n",
|
|
"count 301.000000 301.000000 \n",
|
|
"mean 1.322259 0.275748 \n",
|
|
"std 0.582354 0.447634 \n",
|
|
"min 0.000000 0.000000 \n",
|
|
"25% 1.000000 0.000000 \n",
|
|
"50% 1.000000 0.000000 \n",
|
|
"75% 2.000000 1.000000 \n",
|
|
"max 2.000000 1.000000 "
|
|
]
|
|
},
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"data.describe()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "a074bbe0",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA98AAAPcCAYAAABYZwgeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD5s0lEQVR4nOzdfVxUdf7//+eAMIKhBsYMJCK12IVYmSimFqiBsWqZrVbWqm3bx/KiCF3TXGs0g6TN3I+WrX1atVyy7/7K1tItxi1x/ZKbYldqa/YJTcuJLkhUaBjl/P7wy2wj1zDDcPG4327c9LzP+5x5nTfnPXNenDPvt8kwDEMAAAAAAMBnAvwdAAAAAAAA7R3JNwAAAAAAPkbyDQAAAACAj5F8AwAAAADgYyTfAAAAAAD4GMk3AAAAAAA+RvINAAAAAICPkXwDAAAAAOBjJN8AAAAAAPgYyTcAAAAANEJBQYFsNpt+/PHHFn/t/fv3y2az6dChQ9XWpaSkKCEhocVjQsOQfAMAAABAIxQUFGjRokV+S74XLVpUY/KN1o3kGwAAAAB8pLy83N8hoJUg+e7APv/8c911112Kj49XaGioLrzwQo0dO1affPJJtbr79u1TWlqaQkNDdcEFF2jGjBnavHmzTCaTtm3b5lF369atGjlypLp27arQ0FANHTpU//jHP1roqABU+fbbb/Vf//VfiomJkdls1gUXXKChQ4dq69at7jr19deDBw+qa9eumjBhgse+33nnHQUGBmrhwoUtdjwAavfvf/9bt99+uywWi8xms3r16qXJkyfL6XRq7dq1MplMstvtuuuuuxQeHq4uXbpo7Nix+uKLL/wdOtDm2Gw2/e53v5MkxcXFyWQyua+Je/furTFjxui1115T//791blzZy1atEiS5HA4NG3aNPXs2VPBwcGKi4vTokWLdPr0aY/9r1q1SldeeaXOO+88hYWF6dJLL9XDDz8sSVq7dq37M3n48OHu1167dq3HPv75z39q8ODBCgkJ0YUXXqiFCxfqzJkz7vWHDh2SyWRSTk6OHn/8cfXq1UudO3dWYmJitev2hlxPoGE6+TsA+M/XX3+tiIgIPfHEE7rgggv0ww8/aN26dUpKStIHH3ygSy65RJJ07NgxJScnq0uXLlq1apUiIyP18ssva+bMmdX2uX79ek2ePFk33XST1q1bp6CgIP3pT3/SqFGj9Pbbb2vkyJEtfZhAh/XrX/9ae/bs0eOPP64+ffroxx9/1J49e/T9999Lalh/jY+P1/PPP6/bbrtN//3f/637779fDodDkyZN0rXXXiubzebfgwSgjz76SMOGDVOPHj20ePFixcfH69ixY9q0aZMqKirc9e6++26lpqYqNzdXR44c0e9//3ulpKTo448/Vvfu3f13AEAb89vf/lY//PCDVqxYoddee01RUVGSpMsvv1yStGfPHn366af6/e9/r7i4OHXp0kUOh0ODBg1SQECAHnnkEV188cV67733tGTJEh06dEhr1qyRJG3YsEHTp0/XrFmz9Ic//EEBAQH6/PPPtX//fknS6NGjlZWVpYcffljPPPOMrr76aknSxRdf7I7P4XDotttu07x587R48WJt3rxZS5YsUUlJiVauXOlxLCtXrlRsbKyWL1+uyspK5eTkKD09Xfn5+brmmmsk1X89gUYwgP/n9OnTRkVFhREfH288+OCD7vLf/e53hslkMvbt2+dRf9SoUYYk49133zUMwzBOnTplhIeHG2PHjvWod+bMGePKK680Bg0a5PNjAPAf5513npGRkVHjusb21/vuu88IDg423nvvPWPEiBFGZGSk8fXXX/ssdgANN2LECKN79+5GcXFxjevXrFljSDJuvvlmj/L/+3//ryHJWLJkSUuECbQrTz75pCHJKCoq8iiPjY01AgMDjQMHDniUT5s2zTjvvPOMw4cPe5T/4Q9/MCS5r7NnzpxpdO/evc7X/utf/+pxDf5zycnJhiTjb3/7m0f5PffcYwQEBLhfv6ioyJBkREdHG+Xl5e56paWlRnh4uHH99de7y+q6nkDj8Nh5B3b69GllZWXp8ssvV3BwsDp16qTg4GAdPHhQn376qbtefn6+EhIS3H/Nq3L77bd7LBcUFOiHH37QlClTdPr0afdPZWWlbrjhBu3atUunTp1qkWMDIA0aNEhr167VkiVLtHPnTrlcLve6xvbXp59+Wn379tXw4cO1bds2rV+/3v2XfgD+U1ZWpvz8fE2cOFEXXHBBnXXvuOMOj+UhQ4YoNjZW7777ri9DBDqcK664Qn369PEoe/PNNzV8+HBFR0d7fO6mp6dLOnu9LZ397P7xxx91++23629/+5u+++67Rr9+WFiYbrzxRo+ySZMmqbKyUtu3b/coHz9+vDp37uyx7dixY7V9+3b3Y+p1XU+gcUi+O7DMzEwtXLhQ48aN0xtvvKF//etf2rVrl6688kqPgSG+//57WSyWatufW/bNN99Ikn71q18pKCjI42fp0qUyDEM//PCDbw8KgNsrr7yiKVOm6H/+5390zTXXKDw8XJMnT5bD4Wh0fzWbzZo0aZJ++uknXXXVVUpNTfXXYQH4mZKSEp05c0Y9e/ast67Vaq2xjEdHAe+q6Y/T33zzjd54441qn7l9+/aVJHeS/etf/1p//vOfdfjwYd1yyy2KjIxUUlKS7HZ7g1+/puv2qv5/bn+v7X2hoqJCJ0+elFT39QQah+98d2BV3/fMysryKP/uu+88vvsVERHhvlD/uXM7XI8ePSRJK1as0ODBg2t8zZreDAD4Ro8ePbR8+XItX75cX375pTZt2qR58+apuLhYDz74oKSG99e9e/fqkUce0cCBA7Vr1y4tW7ZMmZmZLXIcAGoXHh6uwMBAHT16tN66NV0oOxwO/eIXv/BFaECHZTKZqpX16NFDV1xxhR5//PEat4mOjnb//6677tJdd92lU6dOafv27Xr00Uc1ZswYffbZZ4qNja339eu6bo+IiKix/Nyy4OBgnXfeee7Ya7ueeOutt+qNB//Bne8OzGQyyWw2e5Rt3rxZX331lUdZcnKy9u7d6x7oocqGDRs8locOHaru3btr//79SkxMrPEnODjYNwcDoE69evXSzJkzlZqaqj179jSqv546dUoTJkxQ79699e6772rmzJmaN2+e/vWvf/n5qACEhIQoOTlZf/3rX+t9PPUvf/mLx3JBQYEOHz6slJQUH0YItE9V19ANnUZszJgx2rt3ry6++OIaP3N/nnxX6dKli9LT07VgwQJVVFRo3759DXrtEydOaNOmTR5lubm5CggI0HXXXedR/tprr+mnn37y2PaNN97Qtddeq8DAwGr7Pvd6Ao3Dne8ObMyYMVq7dq0uvfRSXXHFFSosLNSTTz5Z7dG1jIwM/fnPf1Z6eroWL14si8Wi3Nxc/fvf/5YkBQSc/RvOeeedpxUrVmjKlCn64Ycf9Ktf/UqRkZH69ttv9dFHH+nbb7/VqlWrWvw4gY7o+PHjGj58uCZNmqRLL71UYWFh2rVrl9566y2NHz++Uf313nvv1Zdffqn3339fXbp00VNPPaX33ntPt912mz744ANGSQb8bNmyZRo2bJiSkpI0b948/eIXv9A333yjTZs26U9/+pO73u7du/Xb3/5WEyZM0JEjR7RgwQJdeOGFmj59uh+jB9qmfv36SZL++Mc/asqUKQoKCnLPFFSTxYsXy263a8iQIbr//vt1ySWX6KefftKhQ4e0ZcsWPffcc+rZs6fuuecehYSEaOjQoYqKipLD4VB2dra6deumgQMHSpISEhIkSatXr1ZYWJg6d+6suLg4913tiIgI3Xffffryyy/Vp08fbdmyRc8//7zuu+8+9erVyyOuwMBApaamKjMzU5WVlVq6dKlKS0vd06PVdz2BRvL3iG/wn5KSEuPuu+82IiMjjdDQUGPYsGHGP//5TyM5OdlITk72qLt3717j+uuvNzp37myEh4cbd999t7Fu3TpDkvHRRx951M3PzzdGjx5thIeHG0FBQcaFF15ojB492vjrX//agkcHdGw//fSTce+99xpXXHGF0bVrVyMkJMS45JJLjEcffdQ4deqUu159/fX55583JBlr1qzx2P/nn39udO3a1Rg3blxLHhaAWuzfv9+YMGGCERERYQQHBxu9evUypk6davz000/u0c7z8vKMX//610b37t2NkJAQ45e//KVx8OBBf4cOtFnz5883oqOjjYCAAPfo47Gxscbo0aNrrP/tt98a999/vxEXF2cEBQUZ4eHhxoABA4wFCxYYJ0+eNAzDMNatW2cMHz7csFgsRnBwsBEdHW1MnDjR+Pjjjz32tXz5ciMuLs4IDAz0+JxOTk42+vbta2zbts1ITEw0zGazERUVZTz88MOGy+Vyb1812vnSpUuNRYsWGT179jSCg4ON/v37G2+//ba7XkOvJ9AwJsMwDH8m/2i7/uu//ksvv/yyvv/+ex4nBwCglVq7dq3uuusu7dq1S4mJif4OB0ArcOjQIcXFxenJJ5/UnDlz/B1Oh8Fj52iQxYsXKzo6WhdddJFOnjypN998U//zP/+j3//+9yTeAAAAAFAPkm80SFBQkJ588kkdPXpUp0+fVnx8vJYtW6YHHnjA36EBAAAAQKvHY+cAAAAAAPgYU40BAAAAAOBjJN8AAAAAAPgYyTcAAAAAAD7WJgdcq6ys1Ndff62wsDCZTCZ/hwO0CMMwdOLECUVHRysgoH3+3Yy+jY6Ivg20T/RtoP1pbr9uk8n3119/rZiYGH+HAfjFkSNH1LNnT3+H4RP0bXRk9G2gfaJvA+1PU/t1m0y+w8LCJJ096K5du/o5mqZxuVzKy8tTWlqagoKC/B1Oq0Lb1Ky0tFQxMTHu8789akjf5vzwDdrVNxrSrvRtzj9fom19g759lreuyTlPm4829I762rG5/bpNJt9Vj7V07dq1TSffoaGh6tq1Kx3kHLRN3drzY10N6ducH75Bu/pGY9q1I/dtzj/foW19g759lreuyTlPm4829I6GtmNT+3X7/AIKAAAAAACtCMk3AAAAAAA+RvINAAAAAICPkXwDAAAAAOBjJN8AAAAAAPgYyTcAZWdna+DAgQoLC1NkZKTGjRunAwcOeNQxDEM2m03R0dEKCQlRSkqK9u3b51HH6XRq1qxZ6tGjh7p06aIbb7xRR48ebclDAQAAAFqlNjnVGNq+3vM217rOHGgoZ5CUYHtbzjN1D+N/6InR3g6tQ8rPz9eMGTM0cOBAnT59WgsWLFBaWpr279+vLl26SJJycnK0bNkyrV27Vn369NGSJUuUmpqqAwcOuOc6zMjI0BtvvKENGzYoIiJCs2fP1pgxY1RYWKjAwEB/HiLQJHW9VzVE1fsZgNaFvo2mau65I3H92pGRfAPQW2+95bG8Zs0aRUZGqrCwUNddd50Mw9Dy5cu1YMECjR8/XpK0bt06WSwW5ebmatq0aTp+/LheeOEFvfTSS7r++uslSevXr1dMTIy2bt2qUaNGtfhxAQAAAK0Fj50DqOb48eOSpPDwcElSUVGRHA6H0tLS3HXMZrOSk5NVUFAgSSosLJTL5fKoEx0drYSEBHcdAAAAoKPizjcAD4ZhKDMzU8OGDVNCQoIkyeFwSJIsFotHXYvFosOHD7vrBAcH6/zzz69Wp2r7czmdTjmdTvdyaWmpJMnlcsnlctW4TVV5bevRNLRrzcyBRvO2Dzi7fV3tSpsDANAx+CT5/uqrr/TQQw/p73//u8rLy9WnTx+98MILGjBggKSzF/eLFi3S6tWrVVJSoqSkJD3zzDPq27evL8IB0AgzZ87Uxx9/rB07dlRbZzJ5fgffMIxqZeeqq052drYWLVpUrTwvL0+hoaF17tdut9e5Hk1Du3ry1nc662rXsrIy77wIAABo1byefJeUlGjo0KEaPny4/v73vysyMlL/+7//q+7du7vrNGTgJgAtb9asWdq0aZO2b9+unj17usutVquks3e3o6Ki3OXFxcXuu+FWq1UVFRUqKSnxuPtdXFysIUOG1Ph68+fPV2Zmpnu5tLRUMTExSktLU9euXWvcxuVyyW63KzU1VUFBQU0/WHigXWuWYHu7WdubAww9llhZZ7tWPfEBAADaN68n30uXLlVMTIzWrFnjLuvdu7f7/w0ZuAmtmzdGeUTrYhiGZs2apY0bN2rbtm2Ki4vzWB8XFyer1Sq73a7+/ftLkioqKpSfn6+lS5dKkgYMGKCgoCDZ7XZNnDhRknTs2DHt3btXOTk5Nb6u2WyW2WyuVh4UFFRvAtiQOmg82tVTfTMuNFRd7Up7AwDQMXh9wLVNmzYpMTFREyZMUGRkpPr376/nn3/evb4hAzcBaFkzZszQ+vXrlZubq7CwMDkcDjkcDpWXl0s6+7h5RkaGsrKytHHjRu3du1dTp05VaGioJk2aJEnq1q2b7r77bs2ePVv/+Mc/9MEHH+jOO+9Uv3793KOfAwAAAB2V1+98f/HFF1q1apUyMzP18MMP6/3339f9998vs9msyZMnN2jgpnM1ZVCm1q4tD27U3AGI6t3//xugqOrfurTF9msqXx7rqlWrJEkpKSke5WvWrNHUqVMlSXPnzlV5ebmmT5/uHqshLy/P46siTz/9tDp16qSJEyeqvLxcI0eO1Nq1a5njGwAAAB2e15PvyspKJSYmKisrS5LUv39/7du3T6tWrdLkyZPd9RozcFNzBmVq7dri4EbeGoCoPo8lVtZbZ8uWLS0QSevgy0GZDKP+P3SYTCbZbDbZbLZa63Tu3FkrVqzQihUrvBgdAAAA0PZ5PfmOiorS5Zdf7lF22WWX6dVXX5XUsIGbztWUQZlau7Y8uFFzByCqT9UARQt3B8hZWff3LffaRvk0ltaEQZkAAACAtsvryffQoUN14MABj7LPPvtMsbGxkho2cNO5mjMoU2vXFo/BWwMQ1fs6laZ6X6uttV1zdKRjBQAAANobryffDz74oIYMGaKsrCxNnDhR77//vlavXq3Vq1dL8hy4KT4+XvHx8crKyvIYuAkAAAAAgPbE68n3wIEDtXHjRs2fP1+LFy9WXFycli9frjvuuMNdpyEDNwEAAAAA0F54PfmWpDFjxmjMmDG1rm/IwE0AAAAAALQXPkm+AQAAAKA16T1vs79DQAcX4O8AAAAAAABo70i+AQBop7Zv366xY8cqOjpaJpNJr7/+unudy+XSQw89pH79+qlLly6Kjo7W5MmT9fXXX3vsIyUlRSaTyePntttua+EjAQCg7SP5BgCgnTp16pSuvPJKrVy5stq6srIy7dmzRwsXLtSePXv02muv6bPPPtONN95Yre4999yjY8eOuX/+9Kc/tUT4AAC0K3znGwCAdio9PV3p6ek1ruvWrZvsdrtH2YoVKzRo0CB9+eWX6tWrl7s8NDRUVqvVp7ECANDececbAABIko4fPy6TyaTu3bt7lP/lL39Rjx491LdvX82ZM0cnTpzwT4AAALRh3PkGAAD66aefNG/ePE2aNEldu3Z1l99xxx2Ki4uT1WrV3r17NX/+fH300UfV7pr/nNPplNPpdC+XlpZKOvs9c5fLVa1+VVlN69A8tG3NzIFG87YPOLt9Xe1KmwM4F8k3AAAdnMvl0m233abKyko9++yzHuvuuece9/8TEhIUHx+vxMRE7dmzR1dffXWN+8vOztaiRYuqlefl5Sk0NLTWOOpK6NE8tK2nnEHe2U9d7VpWVuadFwHQbpB8AwDQgblcLk2cOFFFRUV65513PO561+Tqq69WUFCQDh48WGvyPX/+fGVmZrqXS0tLFRMTo7S0tBr373K5ZLfblZqaqqCgoOYdEDzQtjVLsL3drO3NAYYeS6yss12rnvgAgCok3wAAdFBViffBgwf17rvvKiIiot5t9u3bJ5fLpaioqFrrmM1mmc3mauVBQUF1JoD1rUfT0baenGdMXtlPXe1KewM4F8k3AADt1MmTJ/X555+7l4uKivThhx8qPDxc0dHR+tWvfqU9e/bozTff1JkzZ+RwOCRJ4eHhCg4O1v/+7//qL3/5i375y1+qR48e2r9/v2bPnq3+/ftr6NCh/josAADaJEY7BwCgndq9e7f69++v/v37S5IyMzPVv39/PfLIIzp69Kg2bdqko0eP6qqrrlJUVJT7p6CgQJIUHBysf/zjHxo1apQuueQS3X///UpLS9PWrVsVGBjoz0MDUI+vvvpKd955pyIiIhQaGqqrrrpKhYWF7vWGYchmsyk6OlohISFKSUnRvn37/Bgx0P5x5xsAgHYqJSVFhlH7qM51rZOkmJgY5efnezssAD5WUlKioUOHavjw4fr73/+uyMhI/e///q/HNII5OTlatmyZ1q5dqz59+mjJkiVKTU3VgQMHFBYW5r/ggXaM5BsAAABoR5YuXaqYmBitWbPGXda7d2/3/w3D0PLly7VgwQKNHz9ekrRu3TpZLBbl5uZq2rRpLR0y0CGQfAMAAADtyKZNmzRq1ChNmDBB+fn5uvDCCzV9+nT31IFFRUVyOBxKS0tzb2M2m5WcnKyCgoJak2+n0ymn0+lerhrR3eVyNWte85aaj76587t7iy+Os6XasL2rrx2b274k3wAAAEA78sUXX2jVqlXKzMzUww8/rPfff1/333+/zGazJk+e7B5c0WKxeGxnsVh0+PDhWvebnZ2tRYsWVSvPy8tTaGhos+P29Xz03prfvbm2bNnis337ug07itrasaysrFn7JfkGAAAA2pHKykolJiYqKytLktS/f3/t27dPq1at0uTJk931TCbPKdcMw6hW9nPz589XZmame7m0tFQxMTFKS0tT165dmxxvS81H39z53b1lr22U1/fZUm3Y3tXXjlVPezQVyTcAAADQjkRFRenyyy/3KLvsssv06quvSpKsVqskyeFwKCoqyl2nuLi42t3wnzObzTKbzdXKvTWPvK/no/fW/O7N5ctj9HUbdhS1tWNz25apxgAAAIB2ZOjQoTpw4IBH2WeffabY2FhJUlxcnKxWq8ejtRUVFcrPz9eQIUNaNFagI+HONwAAANCOPPjggxoyZIiysrI0ceJEvf/++1q9erVWr14t6ezj5hkZGcrKylJ8fLzi4+OVlZWl0NBQTZo0yc/RA+0XyTcAAADQjgwcOFAbN27U/PnztXjxYsXFxWn58uW644473HXmzp2r8vJyTZ8+XSUlJUpKSlJeXh5zfAM+RPINAAAAtDNjxozRmDFjal1vMplks9lks9laLiigg+M73wAAAAAA+BjJNwAAAAAAPkbyDQAAAACAj/GdbwAAAABoIb3nbW72Pg49MdoLkaClcecbAAAAAAAfI/kGAAAAAMDHSL4BaPv27Ro7dqyio6NlMpn0+uuve6yfOnWqTCaTx8/gwYM96jidTs2aNUs9evRQly5ddOONN+ro0aMteBQAAABA60XyDUCnTp3SlVdeqZUrV9Za54YbbtCxY8fcP1u2bPFYn5GRoY0bN2rDhg3asWOHTp48qTFjxujMmTO+Dh8AAABo9RhwDYDS09OVnp5eZx2z2Syr1VrjuuPHj+uFF17QSy+9pOuvv16StH79esXExGjr1q0aNWqU12MGAAAA2hLufANokG3btikyMlJ9+vTRPffco+LiYve6wsJCuVwupaWlucuio6OVkJCggoICf4QLAAAAtCrc+QZQr/T0dE2YMEGxsbEqKirSwoULNWLECBUWFspsNsvhcCg4OFjnn3++x3YWi0UOh6PW/TqdTjmdTvdyaWmpJMnlcsnlctW4TVV5bevRNLRrzcyBRvO2Dzi7fV3tSpsDANAxkHwDqNett97q/n9CQoISExMVGxurzZs3a/z48bVuZxiGTCZTreuzs7O1aNGiauV5eXkKDQ2tMya73d6AyNFYtKunnEHe2U9d7VpWVuadFwEAAK0ayTeARouKilJsbKwOHjwoSbJaraqoqFBJSYnH3e/i4mINGTKk1v3Mnz9fmZmZ7uXS0lLFxMQoLS1NXbt2rXEbl8slu92u1NRUBQUFeemIQLvWLMH2drO2NwcYeiyxss52rXriwxe2b9+uJ598UoWFhTp27Jg2btyocePGudcbhqFFixZp9erVKikpUVJSkp555hn17dvXXcfpdGrOnDl6+eWXVV5erpEjR+rZZ59Vz549fRY3AADtEck3gEb7/vvvdeTIEUVFRUmSBgwYoKCgINntdk2cOFGSdOzYMe3du1c5OTm17sdsNstsNlcrDwoKqjcBbEgdNB7t6sl5pvYnNxqjrnb1ZXtXzWRw11136ZZbbqm2PicnR8uWLdPatWvVp08fLVmyRKmpqTpw4IDCwsIknZ3J4I033tCGDRsUERGh2bNna8yYMSosLFRgYKDPYgcAoL0h+QagkydP6vPPP3cvFxUV6cMPP1R4eLjCw8Nls9l0yy23KCoqSocOHdLDDz+sHj166Oabb5YkdevWTXfffbdmz56tiIgIhYeHa86cOerXr5979HMALa+umQwMw9Dy5cu1YMEC99dH1q1bJ4vFotzcXE2bNo2ZDAAA8CKSbwDavXu3hg8f7l6uehR8ypQpWrVqlT755BO9+OKL+vHHHxUVFaXhw4frlVdecd8Zk6Snn35anTp10sSJE92Ppq5du5Y7Y0ArVVRUJIfD4TFLgdlsVnJysgoKCjRt2rR6ZzKoLflu7GCKDPjnO7RtzRhMEYA/kHwDUEpKigyj9guRt9+u/3uvnTt31ooVK7RixQpvhgbAR6pmIrBYLB7lFotFhw8fdtdpykwGTR1MkQH/fIe29cRgigD8geQbAIAO7NwZCeqbpaAhdRo7mCID/vkObVuztj6YIoC2ieQbAIAOyGq1Sjp7d7tq8ETp7CwFVXfDmzqTQVMHU2TAP9+hbT219cEUAbRNAf4OAAAAtLy4uDhZrVaPx2YrKiqUn5/vTqx/PpNBlaqZDOpKvgEAQHXc+Uab1nve5mbv49ATo70QCQC0PnXNZNCrVy9lZGQoKytL8fHxio+PV1ZWlkJDQzVp0iRJzGQAAIA3kXwDANBO1TWTwdq1azV37lyVl5dr+vTpKikpUVJSkvLy8pjJAAAAHyD5BgCgnapvJgOTySSbzSabzVZrHWYyAADAO/jONwAAAAAAPubz5Ds7O1smk0kZGRnuMsMwZLPZFB0drZCQEKWkpGjfvn2+DgUAAAAAAL/wafK9a9curV69WldccYVHeU5OjpYtW6aVK1dq165dslqtSk1N1YkTJ3wZDgAAAAAAfuGz5PvkyZO644479Pzzz3vMDWoYhpYvX64FCxZo/PjxSkhI0Lp161RWVqbc3FxfhQMAAAAAgN/4LPmeMWOGRo8eXW0qkqKiIjkcDqWlpbnLzGazkpOTVVBQ4KtwAAAAAADwG5+Mdr5hwwbt2bNHu3btqrbO4XBIkiwWi0e5xWLR4cOHa9yf0+mU0+l0L5eWlkqSXC6XXC6Xt8JuUVVxt8X4zYG1j5zrlf0HGB7/+lpb+R20lTgBAAAAVOf15PvIkSN64IEHlJeXp86dO9daz2QyeSwbhlGtrEp2drYWLVpUrTwvL0+hoaHNC9jP7Ha7v0NotJxBLfM6jyVWtsjrbNmypUVep7nKysr8HQIAAACAJvJ68l1YWKji4mINGDDAXXbmzBlt375dK1eu1IEDBySdvQMeFRXlrlNcXFztbniV+fPnKzMz071cWlqqmJgYpaWlqWvXrt4+hBbhcrlkt9uVmpqqoKAgf4fTKAm2t326f3OAoccSK7Vwd4CclTX/Qcab9tpG+fw1vKHqiQ8AAAAAbY/Xk++RI0fqk08+8Si76667dOmll+qhhx7SRRddJKvVKrvdrv79+0uSKioqlJ+fr6VLl9a4T7PZLLPZXK08KCiozSWu52qLx+A84/uEWJKclaYWea220v5tJU4AAAAA1Xk9+Q4LC1NCQoJHWZcuXRQREeEuz8jIUFZWluLj4xUfH6+srCyFhoZq0qRJ3g6nXek9b3Oz93HoidFeiAQAAAAA0Bg+GXCtPnPnzlV5ebmmT5+ukpISJSUlKS8vT2FhYf4IBwAAAAAAn2qR5Hvbtm0eyyaTSTabTTabrSVeHgAAAAAAv/LZPN8AAAAAAOAsvzx2DgAAAAAN4Y1xj4DWgOQbAAAAPsfAsQA6Oh47BwAAAADAx0i+AQAAgHYsOztbJpNJGRkZ7jLDMGSz2RQdHa2QkBClpKRo3759/gsS6ABIvgEAAIB2ateuXVq9erWuuOIKj/KcnBwtW7ZMK1eu1K5du2S1WpWamqoTJ074KVKg/SP5BgAAANqhkydP6o477tDzzz+v888/311uGIaWL1+uBQsWaPz48UpISNC6detUVlam3NxcP0YMtG8MuAYAAAC0QzNmzNDo0aN1/fXXa8mSJe7yoqIiORwOpaWlucvMZrOSk5NVUFCgadOm1bg/p9Mpp9PpXi4tLZUkuVwuuVyuJsdZtW1t+zAHGk3ed3t1blvV14ZomPrasbntS/LdwTBVAwAAQPu3YcMG7dmzR7t27aq2zuFwSJIsFotHucVi0eHDh2vdZ3Z2thYtWlStPC8vT6Ghoc2MWLLb7TWW5wxq9q7bnS1bttRYXlsbonFqa8eysrJm7ZfkGwCADqp37941XmhPnz5dzzzzjKZOnap169Z5rEtKStLOnTtbKkQATXDkyBE98MADysvLU+fOnWutZzKZPJYNw6hW9nPz589XZmame7m0tFQxMTFKS0tT165dmxyvy+WS3W5XamqqgoKCqq1PsL3d5H23V3ttozyW62tDNEx97Vj1tEdTkXwDANBB7dq1S2fOnHEv7927V6mpqZowYYK77IYbbtCaNWvcy8HBwS0aI4DGKywsVHFxsQYMGOAuO3PmjLZv366VK1fqwIEDks7eAY+KinLXKS4urnY3/OfMZrPMZnO18qCgIK8kfLXtx3mm9j8IdFS1tbe3fhcdXW3t2Ny2JfkGAKCDuuCCCzyWn3jiCV188cVKTk52l5nNZlmt1pYODUAzjBw5Up988olH2V133aVLL71UDz30kC666CJZrVbZ7Xb1799fklRRUaH8/HwtXbrUHyEDHQLJNwAAUEVFhdavX6/MzEyPx063bdumyMhIde/eXcnJyXr88ccVGRlZ574aOygTAwX5TmtqW28MmuWt42huLOaAs9vXFY8/2zwsLEwJCQkeZV26dFFERIS7PCMjQ1lZWYqPj1d8fLyysrIUGhqqSZMm+SNkoEMg+QYAAHr99df1448/aurUqe6y9PR0TZgwQbGxsSoqKtLChQs1YsQIFRYW1vjoaZWmDsrEQEG+0xra1huDZtU2yFRjeWsAr7ratbkDM/na3LlzVV5erunTp6ukpERJSUnKy8tTWFiYv0MD2i2SbwAAoBdeeEHp6emKjo52l916663u/yckJCgxMVGxsbHavHmzxo8fX+u+GjsoEwMF+U5raltvDJp17iBTTdXcWMwBhh5LrKyzXZs7MJO3bdu2zWPZZDLJZrPJZrP5JR6gIyL5BqDt27frySefVGFhoY4dO6aNGzdq3Lhx7vWGYWjRokVavXq1+6/jzzzzjPr27euu43Q6NWfOHL388ssqLy/XyJEj9eyzz6pnz55+OCIAjXH48GFt3bpVr732Wp31oqKiFBsbq4MHD9ZZr6mDMjFQkO+0hrb1xqBZ3joGbw3gVVe7+ru9AbQ+Af4OAID/nTp1SldeeaVWrlxZ4/qcnBwtW7ZMK1eu1K5du2S1WpWamqoTJ06462RkZGjjxo3asGGDduzYoZMnT2rMmDEeIykDaJ3WrFmjyMhIjR49us5633//vY4cOeIxOjIAAGgY7ny3gN7zNlcrMwcayhl09rEnpk+Av6Wnpys9Pb3GdYZhaPny5VqwYIH7MdN169bJYrEoNzdX06ZN0/Hjx/XCCy/opZde0vXXXy9JWr9+vWJiYrR161aNGuWdxwQBeF9lZaXWrFmjKVOmqFOn/1wWnDx5UjabTbfccouioqJ06NAhPfzww+rRo4duvvlmP0YMAEDbxJ1vAHUqKiqSw+FQWlqau8xsNis5OVkFBQWSzs4n6nK5POpER0crISHBXQdA67R161Z9+eWX+s1vfuNRHhgYqE8++UQ33XST+vTpoylTpqhPnz567733GJAJAIAm4M43gDo5HA5JksVi8Si3WCw6fPiwu05wcLDOP//8anWqtq9JY6cjqlr383/hHbRrzdr7dESSlJaWJsOofpwhISF6++3mD5AFAADOIvkG0CA/n/dXOvs4+rll56qvTlOnI5Jax7Q57RHt6onpiAAAgLeQfAOok9VqlXT27vbPB1kqLi523w23Wq2qqKhQSUmJx93v4uJiDRkypNZ9N3Y6Iql1TZvTntCuNeuI0xEBAADfIPkGUKe4uDhZrVbZ7Xb1799fklRRUaH8/HwtXbpUkjRgwAAFBQXJbrdr4sSJkqRjx45p7969ysnJqXXfTZ2OSJL6P/5OswYrPPRE3aM6d1StYTqi1oTpiAAAgLeQfAPQyZMn9fnnn7uXi4qK9OGHHyo8PFy9evVSRkaGsrKyFB8fr/j4eGVlZSk0NFSTJk2SJHXr1k133323Zs+erYiICIWHh2vOnDnq16+fe/RzAAAAoCMj+Qag3bt3a/jw4e7lqkfBp0yZorVr12ru3LkqLy/X9OnTVVJSoqSkJOXl5XmMePz000+rU6dOmjhxosrLyzVy5EitXbtWgYGBLX48AAAAQGtD8g1AKSkpNY52XMVkMslms8lms9Vap3PnzlqxYoVWrFjhgwgBAACAto15vgEAAAAA8DGSbwAAAAAAfIzkGwAAAAAAHyP5BgAAAADAx0i+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHyM5BsAAAAAAB8j+QYAAAAAwMdIvgEAAAAA8DGSbwAAAAAAfIzkGwCADspms8lkMnn8WK1W93rDMGSz2RQdHa2QkBClpKRo3759fowYAIC2q5O/AwAAAP7Tt29fbd261b0cGBjo/n9OTo6WLVumtWvXqk+fPlqyZIlSU1N14MABhYWF+SNcAICk3vM2eyybAw3lDJISbG/LecbU4P0cemK0t0NDHbjzDQBAB9apUydZrVb3zwUXXCDp7F3v5cuXa8GCBRo/frwSEhK0bt06lZWVKTc3189RAwDQ9pB8AwDQgR08eFDR0dGKi4vTbbfdpi+++EKSVFRUJIfDobS0NHdds9ms5ORkFRQU+CtcAADaLB47BwCgg0pKStKLL76oPn366JtvvtGSJUs0ZMgQ7du3Tw6HQ5JksVg8trFYLDp8+HCd+3U6nXI6ne7l0tJSSZLL5ZLL5apWv6qspnVontbUtuZAo9n78NZxNDcWc8DZ7euKpzW0OYDWheQbAIAOKj093f3/fv366ZprrtHFF1+sdevWafDgwZIkk8nzu4OGYVQrO1d2drYWLVpUrTwvL0+hoaG1bme32xsTPhqhNbRtzqDm72PLli3N34m8E4tUd7uWlZV550UAtBteT76zs7P12muv6d///rdCQkI0ZMgQLV26VJdccom7jmEYWrRokVavXq2SkhIlJSXpmWeeUd++fb0dDgAAaKAuXbqoX79+OnjwoMaNGydJcjgcioqKctcpLi6udjf8XPPnz1dmZqZ7ubS0VDExMUpLS1PXrl2r1Xe5XLLb7UpNTVVQUJB3DgaS/tO2C3cHyFnZ8EGYzrXXNqrZsSTY3m72PrwRh9T8WMwBhh5LrKzznK164gMAqng9+c7Pz9eMGTM0cOBAnT59WgsWLFBaWpr279+vLl26SGL0VAAAWiOn06lPP/1U1157reLi4mS1WmW329W/f39JUkVFhfLz87V06dI692M2m2U2m6uVBwUF1Zlc17ceTeesNDVqBORzeeP30pzX92Yckndikeo+ZzmXAZzL68n3W2+95bG8Zs0aRUZGqrCwUNddd1210VMlad26dbJYLMrNzdW0adO8HRIAAKjBnDlzNHbsWPXq1UvFxcVasmSJSktLNWXKFJlMJmVkZCgrK0vx8fGKj49XVlaWQkNDNWnSJH+HDgBAm+Pz73wfP35ckhQeHi6p/tFTSb4BAGgZR48e1e23367vvvtOF1xwgQYPHqydO3cqNjZWkjR37lyVl5dr+vTp7q+J5eXl8ZQaAABN4NPk2zAMZWZmatiwYUpISJCkJo2e2thRU1ubmkbUrBols+pf/EdLt01bOIekthMngLZjw4YNda43mUyy2Wyy2WwtExAAAO2YT5PvmTNn6uOPP9aOHTuqrWvM6KlNHTW1tahrRM3HEitbLpA2pqXaxlsjp/oao6YCAAAAbZfPku9Zs2Zp06ZN2r59u3r27Okut1qtkho3empjR01tbWoaUbNqlMzmjj7aHrV023hr5FRfY9RUAAAAoO3yevJtGIZmzZqljRs3atu2bYqLi/NY35TRU5s6amprUdeIms0dfbQ9a6m2aQvnkNR24gQAAABQXYC3dzhjxgytX79eubm5CgsLk8PhkMPhUHl5uSR5jJ66ceNG7d27V1OnTmX0VAAAAMALsrOzNXDgQIWFhSkyMlLjxo3TgQMHPOoYhiGbzabo6GiFhIQoJSVF+/bt81PEQMfg9eR71apVOn78uFJSUhQVFeX+eeWVV9x15s6dq4yMDE2fPl2JiYn66quvGD0VAAAA8IL8/HzNmDFDO3fulN1u1+nTp5WWlqZTp0656+Tk5GjZsmVauXKldu3aJavVqtTUVJ04ccKPkQPtm08eO68Po6cCAAAAvvHWW295LK9Zs0aRkZEqLCzUddddJ8MwtHz5ci1YsEDjx4+XJK1bt04Wi0W5ublM/Qv4iM/n+QYAAADgP8ePH5ckhYeHS5KKiorkcDiUlpbmrmM2m5WcnKyCgoJak29fTf9btW1t+6hp2l54aupUvUxl66m+c7G57UXyDQAAALRThmEoMzNTw4YNU0JCgqSzsw5JqjbTkMVi0eHDh2vdl6+n/7Xb7TWW1zVtLzw1dqretjLlbkur7Vxs7tS/JN8AGsRms1X7wLVYLO4PcMMwtGjRIq1evVolJSVKSkrSM888o759+/ojXAAAIGnmzJn6+OOPtWPHjmrrTCbPWWUMw6hW9nO+mv7X5XLJbrcrNTW1xtldapq2F56aOlVvW5lyt6XUdy42d+pfkm8ADda3b19t3brVvRwYGOj+f9XALWvXrlWfPn20ZMkSpaam6sCBAwymCACAH8yaNUubNm3S9u3b1bNnT3e51WqVdPYOeFRUlLu8uLi42t3wn/P19L+17YdpeRuusVP1MpVtzWo7F5vbXl4f7RxA+9WpUydZrVb3zwUXXCBJ1QZuSUhI0Lp161RWVqbc3Fw/Rw0AQMdiGIZmzpyp1157Te+8847i4uI81sfFxclqtXo8WltRUaH8/HwNGTKkpcMFOgySbwANdvDgQUVHRysuLk633XabvvjiC0n1D9wCAABazowZM7R+/Xrl5uYqLCxMDodDDodD5eXlks4+bp6RkaGsrCxt3LhRe/fu1dSpUxUaGqpJkyb5OXqg/eKxcwANkpSUpBdffFF9+vTRN998oyVLlmjIkCHat29fkwduacqoqVXljR3Ns7b94Kz6RvfsqJo7wm7VeVpXu9LmALxt1apVkqSUlBSP8jVr1mjq1KmSpLlz56q8vFzTp093j9WSl5fHV8UAHyL5BtAg6enp7v/369dP11xzjS6++GKtW7dOgwcPltT4gVuaM2pqY0fzPBeje9asttE9OypvjbBbV7s2d+RUADiXYdT/h0OTySSbzSabzeb7gABIIvkG1Hve5mbv49ATo70QSdvSpUsX9evXTwcPHtS4ceMkNX7glqaMmlo1CmVjR/M8F6N7eqpvdM+Oqrkj7FaNPltXuzZ35FQAANA2kHwDaBKn06lPP/1U1157rcfALf3795f0n4Fbli5dWus+mjNqamNH86zpNVCdt0asbS+8NcJuXe1KewMA0DGQfANokDlz5mjs2LHq1auXiouLtWTJEpWWlmrKlCkeA7fEx8crPj5eWVlZDNwCAAAA/D8k3wAa5OjRo7r99tv13Xff6YILLtDgwYO1c+dOxcbGSmLgFgAAAKAuJN8AGmTDhg11rmfgFgAAAKB2zPMNAAAAAICPkXwDAAAAAOBjJN8AAHRQ2dnZGjhwoMLCwhQZGalx48bpwIEDHnWmTp0qk8nk8TN48GA/RQwAQNvFd74BAOig8vPzNWPGDA0cOFCnT5/WggULlJaWpv3796tLly7uejfccIPWrFnjXg4ODvZHuAAAL+s9b3Oz93HoidFeiKRjIPkGAKCDeuuttzyW16xZo8jISBUWFuq6665zl5vNZlmt1pYODwCAdoXkGwAASJKOHz8uSQoPD/co37ZtmyIjI9W9e3clJyfr8ccfV2RkZK37cTqdcjqd7uXS0lJJksvlksvlqla/qqymdWieqjY1Bxhe2U9zmAObF4O34pCaH0tVe9YVD+czgHORfAMAABmGoczMTA0bNkwJCQnu8vT0dE2YMEGxsbEqKirSwoULNWLECBUWFspsNte4r+zsbC1atKhaeV5enkJDQ2uNwW63N/9AUKPHEiubtf2WLVuaHUPOoGbvwitxSN6JRar7nC0rK/POiwBoN0i+AQCAZs6cqY8//lg7duzwKL/11lvd/09ISFBiYqJiY2O1efNmjR8/vsZ9zZ8/X5mZme7l0tJSxcTEKC0tTV27dq1W3+VyyW63KzU1VUFBQV46Ikj/aduFuwPkrDQ1eT97baOaHUuC7e1m78MbcUjNj8UcYOixxMo6z9mqJz4AoArJNwAAHdysWbO0adMmbd++XT179qyzblRUlGJjY3Xw4MFa65jN5hrvigcFBdWZXNe3Hk3nrDTJeabpybc3fi/NeX1vxiF5Jxap7nOWcxnAuUi+AQDooAzD0KxZs7Rx40Zt27ZNcXFx9W7z/fff68iRI4qKimqBCP2D0X8BAL7APN8AAHRQM2bM0Pr165Wbm6uwsDA5HA45HA6Vl5dLkk6ePKk5c+bovffe06FDh7Rt2zaNHTtWPXr00M033+zn6AEAaFu48w0AQAe1atUqSVJKSopH+Zo1azR16lQFBgbqk08+0Ysvvqgff/xRUVFRGj58uF555RWFhYX5IWIAANouku96eOPRMwAAWiPDqHu6pZCQEL39dvMHyQIAACTfAAAAAHykITeyzIGGcgadHYXeW4PhAa0R3/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHyM5BsAAAAAAB9jwDUAAAAAQJN4Y3aoQ0+M9kIkrR93vgEAAAAA8DGSbwAAAAAAfIzkGwAAAAAAHyP5BgAAAADAx0i+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHysk78DANqD3vM2e2U/h54Y7ZX9AAAAAGhdSL4BAAAAAH7jjRtZbeEmFo+dAwAAAADgYyTfAAAAAAD4mF8fO3/22Wf15JNP6tixY+rbt6+WL1+ua6+91p8hAWgm+jXQPtG3gfaJvo32whuPrpsDDeUM8kIwtfBb8v3KK68oIyNDzz77rIYOHao//elPSk9P1/79+9WrVy9/hQWgGejXQPvUUn07wfa2nGdMzdpHW/jOH9Ba8LkNtCy/Jd/Lli3T3Xffrd/+9reSpOXLl+vtt9/WqlWrlJ2d7ZXX8NYI1AAapiX6NYCWR98G2if6NtCy/PKd74qKChUWFiotLc2jPC0tTQUFBf4ICUAz0a+B9om+DbRP9G2g5fnlzvd3332nM2fOyGKxeJRbLBY5HI5q9Z1Op5xOp3v5+PHjkqQffvhBLper1tfpdPqUlyL2vk6VhsrKKtXJFaAzlc17xK696cht8/3339e67sSJE5IkwzBaKpxGaWy/lprWt10ul8rKypp9ftTV1h1RVbt+//33CgoK8nc4rUZzP0eq3s/qalf6tvf6teSdvu2N64fW8h7Tmt4zW1O70rdb7nO7IW3dka/9vIU29I76+nZz+7VfB1wzmTxPDMMwqpVJUnZ2thYtWlStPC4uzmextYRJ/g6gFeuobdPjqfrrnDhxQt26dfN9ME3U0H4t+bdvN6StAW9o6PsZfds7Wkvfbi1xeEtrOZ7WEodE3/45b/Ttjnrt5020oXc0pB2b2q/9knz36NFDgYGB1f6qVlxcXO2vb5I0f/58ZWZmupcrKyv1ww8/KCIiotY3h9autLRUMTExOnLkiLp27ervcFoV2qZmhmHoxIkTio6O9ncoNWpsv5aa1rc5P3yDdvWNhrQrfZvzz5doW9+gb5/lrWtyztPmow29o752bG6/9kvyHRwcrAEDBshut+vmm292l9vtdt10003V6pvNZpnNZo+y7t27+zrMFtG1a1c6SC1om+pa81/OG9uvpeb1bc4P36BdfaO+dqVvn8X55zu0rW/Qt717Tc552ny0oXfU1Y7N6dd+e+w8MzNTv/71r5WYmKhrrrlGq1ev1pdffql7773XXyEBaCb6NdA+0beB9om+DbQsvyXft956q77//nstXrxYx44dU0JCgrZs2aLY2Fh/hQSgmejXQPtE3wbaJ/o20LL8OuDa9OnTNX36dH+G4Ddms1mPPvpotUd3QNu0db7u15wfvkG7+kZ7aldf9u321E6tDW3rG+2pXVvD9Xh7ak9/oQ29w9ftaDJa6/wHAAAAAAC0EwH+DgAAAAAAgPaO5BsAAAAAAB8j+QYAAAAAwMdIvgEAAAAA8DGS7xaSnZ0tk8mkjIwMd5lhGLLZbIqOjlZISIhSUlK0b98+/wXpB1999ZXuvPNORUREKDQ0VFdddZUKCwvd62mjjunZZ59VXFycOnfurAEDBuif//xnnfXz8/M1YMAAde7cWRdddJGee+65Foq0bWlMu27btk0mk6naz7///e8WjLj12759u8aOHavo6GiZTCa9/vrr9W7D+VpdY/s86padna2BAwcqLCxMkZGRGjdunA4cOODvsNqdmq7t8B/1vT825BrP6XRq1qxZ6tGjh7p06aIbb7xRR48ebcGj8L/62nHq1KnVPqsHDx7sUacjt2ND3g9b8lwk+W4Bu3bt0urVq3XFFVd4lOfk5GjZsmVauXKldu3aJavVqtTUVJ04ccJPkbaskpISDR06VEFBQfr73/+u/fv366mnnlL37t3ddTp6G3VEr7zyijIyMrRgwQJ98MEHuvbaa5Wenq4vv/yyxvpFRUX65S9/qWuvvVYffPCBHn74Yd1///169dVXWzjy1q2x7VrlwIEDOnbsmPsnPj6+hSJuG06dOqUrr7xSK1eubFB9ztfqmnpuonb5+fmaMWOGdu7cKbvdrtOnTystLU2nTp3yd2jtRm3XdviP+t4fG3KNl5GRoY0bN2rDhg3asWOHTp48qTFjxujMmTMtdRh+15DPmRtuuMHjs3rLli0e6ztyOzbk/bBFz0UDPnXixAkjPj7esNvtRnJysvHAAw8YhmEYlZWVhtVqNZ544gl33Z9++sno1q2b8dxzz/kp2pb10EMPGcOGDat1PW3UMQ0aNMi49957PcouvfRSY968eTXWnzt3rnHppZd6lE2bNs0YPHiwz2Jsixrbru+++64hySgpKWmB6NoHScbGjRvrrMP5Wl1jz000XnFxsSHJyM/P93co7UJt13ao3bnvjw25xvvxxx+NoKAgY8OGDe46X331lREQEGC89dZbLRZ7a1LT58yUKVOMm266qdZtaEdP574ftvS5yJ1vH5sxY4ZGjx6t66+/3qO8qKhIDodDaWlp7jKz2azk5GQVFBS0dJh+sWnTJiUmJmrChAmKjIxU//799fzzz7vX00YdT0VFhQoLCz1+55KUlpZW6+/8vffeq1Z/1KhR2r17t1wul89ibUua0q5V+vfvr6ioKI0cOVLvvvuuL8PsEDhfPTXn3ETDHT9+XJIUHh7u50jah9qu7dBwDbnGKywslMvl8qgTHR2thIQE3h/OsW3bNkVGRqpPnz665557VFxc7F5HO3o69/2wpc9Fkm8f2rBhg/bs2aPs7Oxq6xwOhyTJYrF4lFssFve69u6LL77QqlWrFB8fr7ffflv33nuv7r//fr344ouSaKOO6LvvvtOZM2ca9Tt3OBw11j99+rS+++47n8XaljSlXaOiorR69Wq9+uqreu2113TJJZdo5MiR2r59e0uE3G5xvnpqyrmJxjEMQ5mZmRo2bJgSEhL8HU6bV9e1HRquIdd4DodDwcHBOv/882utAyk9PV1/+ctf9M477+ipp57Srl27NGLECDmdTkm048/V9H7Y0udip6YGj7odOXJEDzzwgPLy8tS5c+da65lMJo9lwzCqlbVXlZWVSkxMVFZWlqSzd9j27dunVatWafLkye56HbmNOqrG/s5rql9TeUfXmHa95JJLdMkll7iXr7nmGh05ckR/+MMfdN111/k0zvaO87U63ud9Z+bMmfr444+1Y8cOf4fS5jX02g4N15S+z/uDp1tvvdX9/4SEBCUmJio2NlabN2/W+PHja92uI7ZjXe+HLXUucufbRwoLC1VcXKwBAwaoU6dO6tSpk/Lz8/Xf//3f6tSpk/uvK+f+taS4uLjaX17aq6ioKF1++eUeZZdddpl7kB2r1SqpY7dRR9OjRw8FBgY26ndutVprrN+pUydFRET4LNa2pCntWpPBgwfr4MGD3g6vQ+F89eStcxM1mzVrljZt2qR3331XPXv29Hc4bV5913YdYfAqb2nINZ7ValVFRYVKSkpqrYPqoqKiFBsb6/68ph3Pqu39sKXPRZJvHxk5cqQ++eQTffjhh+6fxMRE3XHHHfrwww910UUXyWq1ym63u7epqKhQfn6+hgwZ4sfIW87QoUOrDfX/2WefKTY2VpIUFxfX4duoowkODtaAAQM8fueSZLfba/2dX3PNNdXq5+XlKTExUUFBQT6LtS1pSrvW5IMPPlBUVJS3w+tQOF89eevchCfDMDRz5ky99tpreueddxQXF+fvkNqF+q7tAgMD/R1im9GQa7wBAwYoKCjIo86xY8e0d+9e3h/q8P333+vIkSPuz+uO3o71vR+2+LnYhEHi0ETnjoj5xBNPGN26dTNee+0145NPPjFuv/12IyoqyigtLfVfkC3o/fffNzp16mQ8/vjjxsGDB42//OUvRmhoqLF+/Xp3nY7eRh3Rhg0bjKCgIOOFF14w9u/fb2RkZBhdunQxDh06ZBiGYcybN8/49a9/7a7/xRdfGKGhocaDDz5o7N+/33jhhReMoKAg4//7//4/fx1Cq9TYdn366aeNjRs3Gp999pmxd+9eY968eYYk49VXX/XXIbRKJ06cMD744APjgw8+MCQZy5YtMz744APj8OHDhmFwvjZEfecmGu++++4zunXrZmzbts04duyY+6esrMzfobU7jHZeu/reHxtyjXfvvfcaPXv2NLZu3Wrs2bPHGDFihHHllVcap0+f9tdhtbi62vHEiRPG7NmzjYKCAqOoqMh49913jWuuuca48MILacf/pyHvhy15LpJ8t6Bz36ArKyuNRx991LBarYbZbDauu+4645NPPvFfgH7wxhtvGAkJCYbZbDYuvfRSY/Xq1R7raaOO6ZlnnjFiY2ON4OBg4+qrr/aYHmfKlClGcnKyR/1t27YZ/fv3N4KDg43evXsbq1atauGI24bGtOvSpUuNiy++2OjcubNx/vnnG8OGDTM2b97sh6hbt6op2c79mTJlimEYnK8NVde5icar6ZyUZKxZs8bfobU7JN+1q+/9sSHXeOXl5cbMmTON8PBwIyQkxBgzZozx5Zdf+uFo/KeudiwrKzPS0tKMCy64wAgKCjJ69eplTJkypVobdeR2bMj7YUuei6b/FxQAAAAAAPARvvMNAAAAAICPkXwDAAAAAOBjJN8AAAAAAPgYyTcAAAAAAD5G8g0AAAAAgI+RfAMAAAAA4GMk3wAAAAAA+BjJNwAAAAAAPkbyDQAAAACAj5F8AwAAAADgYyTfAAAAAAD4GMk3AAAAAAA+RvINAAAAAICPkXwDAAAAAOBjJN+o0dq1a2UymbR7926v7XPq1Knq3bu31/YHoGFeeeUV9e3bVyEhITKZTBo3bpzOO+88f4cFwAeysrL0+uuv+zsMoEMpKCiQzWbTjz/+6FHeu3dvjRkzxquvZTKZZLPZvLrPc/c/c+ZMn+2/oyP5BoB27Ntvv9Wvf/1rXXzxxXrrrbf03nvvKTg42N9hAfARkm+g5RUUFGjRokXVkm/gXJ38HQAAwHc+++wzuVwu3XnnnUpOTpYkhYaG+jkqAFXKysrokwDQQXDnuwP797//rdtvv10Wi0Vms1m9evXS5MmT5XQ63XVOnDih++67Tz169FBERITGjx+vr7/+2mM/lZWVysnJ0aWXXiqz2azIyEhNnjxZR48ebelDAvAzU6dO1bBhwyRJt956q0wmk1JSUtzr9+3bp5EjR6pLly664IILNHPmTJWVlXns469//auSkpLUrVs3hYaG6qKLLtJvfvObljwMoN2w2WwymUzas2ePfvWrX+n888/XxRdfLMMw9Oyzz+qqq65SSEiIzj//fP3qV7/SF1984bH9Bx98oDFjxigyMlJms1nR0dEaPXq0+/PWZDLp1KlTWrdunUwmU7U+73A4NG3aNPXs2VPBwcGKi4vTokWLdPr0aY/XcTqdWrx4sS677DJ17txZERERGj58uAoKCtx1fvzxR919990KDw/Xeeedp9GjR+uLL77w+SOxQGtjs9n0u9/9TpIUFxfn7nvbtm1z13nrrbd09dVXKyQkRJdeeqn+/Oc/e+zj22+/1fTp03X55ZfrvPPOU2RkpEaMGKF//vOf9b5+Y7ZtSN+u8tJLL+myyy5TaGiorrzySr355puNbBnUhDvfHdRHH32kYcOGqUePHlq8eLHi4+N17Ngxbdq0SRUVFe56v/3tbzV69Gjl5ubqyJEj+t3vfqc777xT77zzjrvOfffdp9WrV2vmzJkaM2aMDh06pIULF2rbtm3as2ePevTo4Y9DBDq8hQsXatCgQZoxY4aysrI0fPhwde3aVTk5OXK5XPrlL3+padOmad68eSooKNCSJUt0+PBhvfHGG5Kk9957T7feeqtuvfVW2Ww2de7cWYcPH/bo/wAab/z48brtttt077336tSpU5o2bZrWrl2r+++/X0uXLtUPP/ygxYsXa8iQIfroo49ksVh06tQppaamKi4uTs8884wsFoscDofeffddnThxQtLZPjtixAgNHz5cCxculCR17dpV0tnEe9CgQQoICNAjjzyiiy++WO+9956WLFmiQ4cOac2aNZKk06dPKz09Xf/85z+VkZGhESNG6PTp09q5c6e+/PJLDRkyRJWVlRo7dqx2794tm82mq6++Wu+9955uuOEG/zQo4Ee//e1v9cMPP2jFihV67bXXFBUVJUm6/PLLJZ295p49e7bmzZsni8Wi//mf/9Hdd9+tX/ziF7ruuuskST/88IMk6dFHH5XVatXJkye1ceNGpaSk6B//+IfHH9HO1dBtG9K3q2zevFm7du3S4sWLdd555yknJ0c333yzDhw4oIsuusjbTdixGOiQRowYYXTv3t0oLi6ucf2aNWsMScb06dM9ynNycgxJxrFjxwzDMIxPP/20xnr/+te/DEnGww8/7C6bMmWKERsb690DAVCnd99915Bk/PWvf3WXTZkyxZBk/PGPf/So+/jjjxuSjB07dhiGYRh/+MMfDEnGjz/+2KIxA+3Vo48+akgyHnnkEXfZe++9Z0gynnrqKY+6R44cMUJCQoy5c+cahmEYu3fvNiQZr7/+ep2v0aVLF2PKlCnVyqdNm2acd955xuHDhz3Kq/r5vn37DMMwjBdffNGQZDz//PO1vsbmzZsNScaqVas8yrOzsw1JxqOPPlpnjEB78+STTxqSjKKiIo/y2NhYo3Pnzh79rry83AgPDzemTZtW6/5Onz5tuFwuY+TIkcbNN9/ssa6+Plbbtg3p21X7t1gsRmlpqbvM4XAYAQEBRnZ2dp3bon48dt4BlZWVKT8/XxMnTtQFF1xQZ90bb7zRY/mKK66QJB0+fFiS9O6770o6+3jrzw0aNEiXXXaZ/vGPf3gpagDedscdd3gsT5o0SdJ/+vXAgQMlSRMnTtT/+T//R1999VXLBgi0U7fccov7/2+++aZMJpPuvPNOnT592v1jtVp15ZVXuh9d/cUvfqHzzz9fDz30kJ577jnt37+/Ua/55ptvavjw4YqOjvZ4nfT0dElSfn6+JOnvf/+7OnfuXOfXS6rqTpw40aP89ttvb1RMQEdw1VVXqVevXu7lzp07q0+fPu5r6SrPPfecrr76anXu3FmdOnVSUFCQ/vGPf+jTTz+t9zUasm1D+naV4cOHKywszL1ssVgUGRlZLWY0Hsl3B1RSUqIzZ86oZ8+e9daNiIjwWDabzZKk8vJySdL3338vSe5HbH4uOjravR5A69KpU6dq/dtqtUr6T7++7rrr9Prrr+v06dOaPHmyevbsqYSEBL388sstHi/Qnvz8M/Obb76RYRiyWCwKCgry+Nm5c6e+++47SVK3bt2Un5+vq666Sg8//LD69u2r6OhoPfroo3K5XPW+5jfffKM33nij2mv07dtXktyv8+233yo6OloBAbVfIn7//ffq1KmTwsPDPcotFkuj2wJo7879rJXOXk9XXUtL0rJly3TfffcpKSlJr776qnbu3Kldu3bphhtu8KhXk4Zu25C+3ZiY0TR857sDCg8PV2BgoFcGRKvqnMeOHauWzH/99dd83xtopU6fPq3vv//e4wPW4XBI8vzQvemmm3TTTTfJ6XRq586dys7O1qRJk9S7d29dc801LR430B6YTCb3/3v06CGTyaR//vOf7j9w/9zPy/r166cNGzbIMAx9/PHHWrt2rRYvXqyQkBDNmzevztfs0aOHrrjiCj3++OM1ro+OjpYkXXDBBdqxY4cqKytrvUiPiIjQ6dOn9cMPP3gk4FXvIQAaZ/369UpJSdGqVas8yqvGc/DGtg3p2/A9Wr4DCgkJUXJysv7617+6/9LdVCNGjJB0tuP/3K5du/Tpp59q5MiRzdo/AN/5y1/+4rGcm5srSTUO7GI2m5WcnKylS5dKOjvqMoDmGzNmjAzD0FdffaXExMRqP/369au2jclk0pVXXqmnn35a3bt31549e9zrars7NWbMGO3du1cXX3xxja9TlXynp6frp59+0tq1a2uNuWrawldeecWjfMOGDU1pAqDNO/fJ0MYymUzV/vj28ccf67333vPatg3p2/A97nx3UMuWLdOwYcOUlJSkefPm6Re/+IW++eYbbdq0SX/6058avJ9LLrlE//Vf/6UVK1YoICBA6enp7tHOY2Ji9OCDD/rwKAA0VXBwsJ566imdPHlSAwcOdI92np6e7p6e7JFHHtHRo0c1cuRI9ezZUz/++KP++Mc/KigoyH3xDaB5hg4dqv/6r//SXXfdpd27d+u6665Tly5ddOzYMe3YsUP9+vXTfffdpzfffFPPPvusxo0bp4suukiGYei1117Tjz/+qNTUVPf++vXrp23btumNN95QVFSUwsLCdMkll2jx4sWy2+0aMmSI7r//fl1yySX66aefdOjQIW3ZskXPPfecevbsqdtvv11r1qzRvffeqwMHDmj48OGqrKzUv/71L1122WW67bbbdMMNN2jo0KGaPXu2SktLNWDAAL333nt68cUXJYm7auhwqv5I9sc//lFTpkxRUFCQLrnkkgZvP2bMGD322GN69NFHlZycrAMHDmjx4sWKi4urNhVgU7dtSN9GC/DveG/wp/379xsTJkwwIiIijODgYKNXr17G1KlTjZ9++sk92vmuXbs8tqkaOfndd991l505c8ZYunSp0adPHyMoKMjo0aOHceeddxpHjhzx2JbRzoGWV9to5126dDE+/vhjIyUlxQgJCTHCw8ON++67zzh58qS73ptvvmmkp6cbF154oREcHGxERkYav/zlL41//vOf/jgUoM2rGu3822+/rbbuz3/+s5GUlGR06dLFCAkJMS6++GJj8uTJxu7duw3DMIx///vfxu23325cfPHFRkhIiNGtWzdj0KBBxtq1az328+GHHxpDhw41QkNDDUlGcnKye923335r3H///UZcXJwRFBRkhIeHGwMGDDAWLFjg0ffLy8uNRx55xIiPjzeCg4ONiIgIY8SIEUZBQYG7zg8//GDcddddRvfu3Y3Q0FAjNTXV2LlzZ40zKQAdwfz5843o6GgjICDAfa0cGxtrjB49ulrd5ORkj77pdDqNOXPmGBdeeKHRuXNn4+qrrzZef/31Gq+ddc5o543ZtiF9W5IxY8aMajHHxsbWOJMCGsdkGIbht8wfAAAA7UJubq7uuOMO/d//+3895gwGAJxF8g0AAIBGefnll/XVV1+pX79+CggI0M6dO/Xkk0+qf//+7qnIAACe+M43AAAAGiUsLEwbNmzQkiVLdOrUKUVFRWnq1KlasmSJv0MDgFaLO98AAAAAAPgYw1ECAAAAAOBjJN8AAAAAAPgYyTcAAADQjpw+fVq///3vFRcXp5CQEF100UVavHixKisr3XUMw5DNZlN0dLRCQkKUkpKiffv2+TFqoP1rkwOuVVZW6uuvv1ZYWJhMJpO/wwFahGEYOnHihKKjoxUQ0D7/bkbfRkdE3wbaJ3/27aVLl+q5557TunXr1LdvX+3evVt33XWXunXrpgceeECSlJOTo2XLlmnt2rXq06ePlixZotTUVB04cEBhYWENeh36Njqa5vbrNjng2tGjRxUTE+PvMAC/OHLkiHr27OnvMHyCvo2OjL4NtE/+6NtjxoyRxWLRCy+84C675ZZbFBoaqpdeekmGYSg6OloZGRl66KGHJElOp1MWi0VLly7VtGnTGvQ69G10VE3t123yznfVX+OOHDmirl27+jma/3C5XMrLy1NaWpqCgoL8HU6bQtvVr7S0VDExMQ3+a3Rb1JC+zbniG7SrbzSkXX3Zt7dv364nn3xShYWFOnbsmDZu3Khx48a510+dOlXr1q3z2CYpKUk7d+50LzudTs2ZM0cvv/yyysvLNXLkSD377LONuuior29z/vkObesb/u7b9Rk2bJiee+45ffbZZ+rTp48++ugj7dixQ8uXL5ckFRUVyeFwKC0tzb2N2WxWcnKyCgoKak2+nU6nnE6ne7nqHl5RUVGbuj5xuVx69913NXz48A7dL2iHsxrTDidOnFBcXFyTz/c2mXxXPdbStWvXVpd8h4aGqmvXrh36BG4K2q7h2vNjXQ3p25wrvkG7+kZj2tUXffvUqVO68sorddddd+mWW26psc4NN9ygNWvWuJeDg4M91mdkZOiNN97Qhg0bFBERodmzZ2vMmDEqLCxUYGBgg+Kor29z/vkObesb/u7b9XnooYd0/PhxXXrppQoMDNSZM2f0+OOP6/bbb5ckORwOSZLFYvHYzmKx6PDhw7XuNzs7W4sWLapW/t577yk0NNSLR+B7oaGh+te//uXvMPyOdjiroe1QVlYmqen9uk0m3wAAoH7p6elKT0+vs47ZbJbVaq1x3fHjx/XCCy/opZde0vXXXy9JWr9+vWJiYrR161aNGjXK6zEDaL5XXnlF69evV25urvr27asPP/xQGRkZio6O1pQpU9z1zk0gDMOoM6mYP3++MjMz3ctVd/fT0tJa1Q2x+rhcLtntdqWmpnboP0rRDmc1ph1KS0ub9Vok3wAAdGDbtm1TZGSkunfvruTkZD3++OOKjIyUJBUWFsrlcnk8mhodHa2EhAQVFBSQfAOt1O9+9zvNmzdPt912mySpX79+Onz4sLKzszVlyhT3H9wcDoeioqLc2xUXF1e7G/5zZrNZZrO5WnlQUFCbTN7aatzeRjuc1ZB2aG47kXwDANBBpaena8KECYqNjVVRUZEWLlyoESNGqLCwUGazWQ6HQ8HBwTr//PM9trNYLO7HVmty7vdCq+4UuFwuuVyuavWrympah+ahbX2jIe3qzzYvKyurNhJzYGCge6qxuLg4Wa1W2e129e/fX5JUUVGh/Px8LV26tMXjBToKkm8AADqoW2+91f3/hIQEJSYmKjY2Vps3b9b48eNr3a6+R1Nr+15oXl5end8LtdvtDYwcjUXb+kZd7Vr13VB/GDt2rB5//HH16tVLffv21QcffKBly5bpN7/5jaSzj5tnZGQoKytL8fHxio+PV1ZWlkJDQzVp0iS/xQ20dyTfAABAkhQVFaXY2FgdPHhQkmS1WlVRUaGSkhKPu9/FxcUaMmRIrftp7PdC+d6h79C2vtGQdm3ud0ObY8WKFVq4cKGmT5+u4uJiRUdHa9q0aXrkkUfcdebOnavy8nJNnz5dJSUlSkpKUl5eXpsatRxoa0i+AQCAJOn777/XkSNH3N8BHTBggIKCgmS32zVx4kRJ0rFjx7R3717l5OTUup+mfi+U7x36Dm3rG3W1qz/bOywsTMuXL3dPLVYTk8kkm80mm83WYnEBHR3JdwvoPW+zV/Zz6InRXtkP0B4k2N6W80zTp2+hP6EjOHnypD7//HP3clFRkT788EOFh4crPDxcNptNt9xyi6KionTo0CE9/PDD6tGjh26++WZJUrdu3XT33Xdr9uzZioiIUHh4uObMmaN+/fq5Rz/3pub2a4m+DQCNxTVVywmov4qn7du3a+zYsYqOjpbJZNLrr7/usd4wDNlsNkVHRyskJEQpKSnat2+fRx2n06lZs2apR48e6tKli2688UYdPXq0WQcCoOmys7M1cOBAhYWFKTIyUuPGjdOBAwc86kydOlUmk8njZ/DgwR516NtA67J7927179/fPaBSZmam+vfvr0ceeUSBgYH65JNPdNNNN6lPnz6aMmWK+vTpo/fee8/jsdOnn35a48aN08SJEzV06FCFhobqjTfeaPAc3wAA4KxG3/k+deqUrrzySt1111265ZZbqq3PycnRsmXLtHbtWvXp00dLlixRamqqDhw44P4wz8jI0BtvvKENGzYoIiJCs2fP1pgxY1RYWMiHOeAH+fn5mjFjhgYOHKjTp09rwYIFSktL0/79+9WlSxd3vRtuuEFr1qxxLwcHB3vsh74NtC4pKSkyDKPW9W+//Xa9++jcubNWrFihFStWeDM0wK+a+1SiOdBQziAvBQOgw2h08p2enq709PQa1xmGoeXLl2vBggXuUVLXrVsni8Wi3NxcTZs2TcePH9cLL7ygl156yf3I2vr16xUTE6OtW7cyZyjgB2+99ZbH8po1axQZGanCwkJdd9117nKz2eyeG/Rc9G0AAACgdl79zndRUZEcDofS0tLcZWazWcnJySooKNC0adNUWFgol8vlUSc6OloJCQkqKCjgAh1oBY4fPy5JCg8P9yjftm2bIiMj1b17dyUnJ+vxxx9XZGSkJDWpbzd2LuCqdZJkDqj9bl5DMOetJ+YC9o3WPhcwAABoOV5Nvh0OhyTJYrF4lFssFh0+fNhdJzg42GPKkqo6VdufqykX6P5Q20WWObB5ScK5+2+PuPCvX0u1jWEYyszM1LBhw5SQkOAuT09P14QJExQbG6uioiItXLhQI0aMUGFhocxmc5P6dlPnApakxxIrm3B0/7Fly5Zmbd9eMRewb7TWuYABAEDL8clo5yaT52h5hmFUKztXXXWac4HuD+deZHnrO0EdIVngwr92LXWBPnPmTH388cfasWOHR/mtt97q/n9CQoISExMVGxurzZs3u79mUpO6+nZj5wKW/jO36sLdAXJWNn1kzr02nrL5OeYC9o3WPhcwAABoOV5Nvqu+C+pwONxzhEpScXGx+2641WpVRUWFSkpKPO6QFRcXa8iQITXutykX6P5Q20VWgq3+AW0aoj0nC1z4168lLtBnzZqlTZs2afv27erZs2eddaOiohQbG6uDBw9KalrfbupcwJLkrDQ1a1oMzrOaMRewb7TWuYABAEDL8WryHRcXJ6vVKrvd7p7WpKKiQvn5+Vq6dKkkacCAAQoKCpLdbtfEiRMlSceOHdPevXuVk5NT436bc4HuD+fG1dw5S3++3/autf5OWwNftothGJo1a5Y2btyobdu2KS4urt5tvv/+ex05csT9h7am9G0AAACgo2h08n3y5El9/vnn7uWioiJ9+OGHCg8PV69evZSRkaGsrCzFx8crPj5eWVlZCg0N1aRJkyRJ3bp10913363Zs2crIiJC4eHhmjNnjvr16+ceIRlAy5oxY4Zyc3P1t7/9TWFhYe7vaHfr1k0hISE6efKkbDabbrnlFkVFRenQoUN6+OGH1aNHD918883uuvRtAAAAoGaNTr53796t4cOHu5erHgefMmWK1q5dq7lz56q8vFzTp09XSUmJkpKSlJeX557jW5KefvppderUSRMnTlR5eblGjhyptWvXMg8w4CerVq2SdHZO4J9bs2aNpk6dqsDAQH3yySd68cUX9eOPPyoqKkrDhw/XK6+8Qt8GAAAAGqDRyXdKSooMo/bRu00mk2w2m2w2W611OnfurBUrVmjFihWNfXkAPlBXn5akkJAQvf12/WMX0LcBAACAmgX4OwAAAAAAANo7km8AAAAAAHyM5BsAAAAAAB8j+QYAAAAAwMdIvgEAAAAA8DGSbwAAAAAAfIzkGwAAAAAAHyP5BgAAAADAx0i+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHyM5BsAAAAAAB8j+QYAAAAAwMdIvgEAAAAA8DGSbwAAAAAAfIzkGwAAAAAAHyP5BgAAAADAx0i+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAAAMDHvJ58nz59Wr///e8VFxenkJAQXXTRRVq8eLEqKyvddQzDkM1mU3R0tEJCQpSSkqJ9+/Z5OxQADZSdna2BAwcqLCxMkZGRGjdunA4cOOBRpyH91ul0atasWerRo4e6dOmiG2+8UUePHm3JQwEAAJK++uor3XnnnYqIiFBoaKiuuuoqFRYWutdzPQ60PK8n30uXLtVzzz2nlStX6tNPP1VOTo6efPJJrVixwl0nJydHy5Yt08qVK7Vr1y5ZrValpqbqxIkT3g4HQAPk5+drxowZ2rlzp+x2u06fPq20tDSdOnXKXach/TYjI0MbN27Uhg0btGPHDp08eVJjxozRmTNn/HFYAAB0SCUlJRo6dKiCgoL097//Xfv379dTTz2l7t27u+twPQ60vE7e3uF7772nm266SaNHj5Yk9e7dWy+//LJ2794t6exf2ZYvX64FCxZo/PjxkqR169bJYrEoNzdX06ZN83ZIAOrx1ltveSyvWbNGkZGRKiws1HXXXdegfnv8+HG98MILeumll3T99ddLktavX6+YmBht3bpVo0aNavHjAgCgI1q6dKliYmK0Zs0ad1nv3r3d/+d6HPAPryffw4YN03PPPafPPvtMffr00UcffaQdO3Zo+fLlkqSioiI5HA6lpaW5tzGbzUpOTlZBQQGdHWgFjh8/LkkKDw+X1LB+W1hYKJfL5VEnOjpaCQkJKigoqDH5djqdcjqd7uXS0lJJksvlksvlqjG2qnJzgNGsY6xt/x1VVXvQLt7VkHalzQF426ZNmzRq1ChNmDBB+fn5uvDCCzV9+nTdc889kpp+Pd6Uz+3WiM+8s7imOqsx50Nzj9XryfdDDz2k48eP69JLL1VgYKDOnDmjxx9/XLfffrskyeFwSJIsFovHdhaLRYcPH65xn22lo9f2izMHNu+EPnf/7RFvgvVrqbYxDEOZmZkaNmyYEhISJDWs3zocDgUHB+v888+vVqdq+3NlZ2dr0aJF1crz8vIUGhpaZ5yPJVbWub4+W7Zsadb27ZXdbvd3CO1SXe1aVlbWgpEA6Ai++OILrVq1SpmZmXr44Yf1/vvv6/7775fZbNbkyZObdD0uNe9zuzXiM+8srqnOasj50NzPbK8n36+88orWr1+v3Nxc9e3bVx9++KEyMjIUHR2tKVOmuOuZTCaP7QzDqFZWpa119HN/cTmDvLPf9nJi14U3wdq11AX6zJkz9fHHH2vHjh3V1jWm3zakzvz585WZmeleLi0tVUxMjNLS0tS1a9cat3G5XLLb7Vq4O0DOyrpfuy57bTwG/3NV7ZqamqqgoCB/h9NuNKRdq/6gDADeUllZqcTERGVlZUmS+vfvr3379mnVqlWaPHmyu15jP9eb8rndGvGZd5a3rqm8wZ/XZY05H5r7me315Pt3v/ud5s2bp9tuu02S1K9fPx0+fFjZ2dmaMmWKrFarpLN3yaKiotzbFRcXV/vrW5W20tFr+8Ul2N72yv7bc7LAm2D9WuICfdasWdq0aZO2b9+unj17ussb0m+tVqsqKipUUlLicfe7uLhYQ4YMqfH1zGazzGZztfKgoKB6zwNnpUnOM03/oOA8q1lD2h6NV1e70t4AvC0qKkqXX365R9lll12mV199VVLDPtdr0pzP7daorcbtbc29pvKG1vB7aMj50Nw4vZ58l5WVKSDAcxD1wMBA91RjcXFxslqtstvt6t+/vySpoqJC+fn5Wrp0aY37bGsd/dy4vHUyt8Zj9bbW+jttDXzZLoZhaNasWdq4caO2bdumuLg4j/UN6bcDBgxQUFCQ7Ha7Jk6cKEk6duyY9u7dq5ycHJ/FDgAAPA0dOrTalKGfffaZYmNjJTXtehxA83k9+R47dqwef/xx9erVS3379tUHH3ygZcuW6Te/+Y2ks4+3ZGRkKCsrS/Hx8YqPj1dWVpZCQ0M1adIkb4cDoAFmzJih3Nxc/e1vf1NYWJj7u2DdunVTSEhIg/ptt27ddPfdd2v27NmKiIhQeHi45syZo379+rlHPwcAAL734IMPasiQIcrKytLEiRP1/vvva/Xq1Vq9erUkrscBf/F68r1ixQotXLhQ06dPV3FxsaKjozVt2jQ98sgj7jpz585VeXm5pk+frpKSEiUlJSkvL09hYWHeDgdAA6xatUqSlJKS4lG+Zs0aTZ06VVLD+u3TTz+tTp06aeLEiSovL9fIkSO1du1aBQYGttShAADQ4Q0cOFAbN27U/PnztXjxYsXFxWn58uW644473HW4HgdanteT77CwMC1fvtw9tVhNTCaTbDabbDabt18eQBMYRv0j8jek33bu3FkrVqzQihUrvBgdAABorDFjxmjMmDG1rud6HGh5AfVXAQAAAAAAzUHyDQAAAACAj5F8AwAAAADgYyTfAAAAAAD4GMk3AAAAAAA+RvINAAAAAICPkXwDANBObd++XWPHjlV0dLRMJpNef/11j/WGYchmsyk6OlohISFKSUnRvn37POo4nU7NmjVLPXr0UJcuXXTjjTfq6NGjLXgUAAC0DyTfAAC0U6dOndKVV16plStX1rg+JydHy5Yt08qVK7Vr1y5ZrValpqbqxIkT7joZGRnauHGjNmzYoB07dujkyZMaM2aMzpw501KHAQBAu9DJ3wEAAADfSE9PV3p6eo3rDMPQ8uXLtWDBAo0fP16StG7dOlksFuXm5mratGk6fvy4XnjhBb300ku6/vrrJUnr169XTEyMtm7dqlGjRrXYsQAA0NaRfNej97zNDa5rDjSUM0hKsL0t5xmTD6MCAKB5ioqK5HA4lJaW5i4zm81KTk5WQUGBpk2bpsLCQrlcLo860dHRSkhIUEFBAck3AACNQPINAEAH5HA4JEkWi8Wj3GKx6PDhw+46wcHBOv/886vVqdq+Jk6nU06n071cWloqSXK5XHK5XNXqV5WZA4wmHEnN+8JZVe1Bu3gyBzbvXKs6V+tqV9ocwLlIvtuQxtyFr82hJ0Z7IRIAQHthMnk+qWUYRrWyc9VXJzs7W4sWLapWnpeXp9DQ0Fq3eyyxsp5o67dly5Zm76M9stvt/g6hVckZ5J391NWuZWVl3nkRAO0GyTcAAB2Q1WqVdPbudlRUlLu8uLjYfTfcarWqoqJCJSUlHne/i4uLNWTIkFr3PX/+fGVmZrqXS0tLFRMTo7S0NHXt2rVafZfLJbvdroW7A+SsbN7XtvbaeBT+56raNjU1VUFBQf4Op9VIsL3drO3NAYYeS6yss12rnvgAfMEbN+WqvjKLlkPyDQBABxQXFyer1Sq73a7+/ftLkioqKpSfn6+lS5dKkgYMGKCgoCDZ7XZNnDhRknTs2DHt3btXOTk5te7bbDbLbDZXKw8KCqozAXRWmpo9ZgoJZs3qa/uOxltj89TVrrQ3gHORfAMA0E6dPHlSn3/+uXu5qKhIH374ocLDw9WrVy9lZGQoKytL8fHxio+PV1ZWlkJDQzVp0iRJUrdu3XT33Xdr9uzZioiIUHh4uObMmaN+/fq5Rz8HAAANQ/INAEA7tXv3bg0fPty9XPUo+JQpU7R27VrNnTtX5eXlmj59ukpKSpSUlKS8vDyFhYW5t3n66afVqVMnTZw4UeXl5Ro5cqTWrl2rwMDAFj8eAADaMpJvAADaqZSUFBlG7aM6m0wm2Ww22Wy2Wut07txZK1as0IoVK3wQIQAAHUeAvwMAAAAAAKC9I/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHyM5BsAAAAAAB8j+QYAAAAAwMdIvgEAAAAA8DGfJN9fffWV7rzzTkVERCg0NFRXXXWVCgsL3esNw5DNZlN0dLRCQkKUkpKiffv2+SIUAA2wfft2jR07VtHR0TKZTHr99dc91k+dOlUmk8njZ/DgwR51nE6nZs2apR49eqhLly668cYbdfTo0RY8CgAAAKD18nryXVJSoqFDhyooKEh///vftX//fj311FPq3r27u05OTo6WLVumlStXateuXbJarUpNTdWJEye8HQ6ABjh16pSuvPJKrVy5stY6N9xwg44dO+b+2bJli8f6jIwMbdy4URs2bNCOHTt08uRJjRkzRmfOnPF1+AAAAECr18nbO1y6dKliYmK0Zs0ad1nv3r3d/zcMQ8uXL9eCBQs0fvx4SdK6detksViUm5uradOmeTskAPVIT09Xenp6nXXMZrOsVmuN644fP64XXnhBL730kq6//npJ0vr16xUTE6OtW7dq1KhRXo8ZAAAAaEu8nnxv2rRJo0aN0oQJE5Sfn68LL7xQ06dP1z333CNJKioqksPhUFpamnsbs9ms5ORkFRQU1Jh8O51OOZ1O93JpaakkyeVyyeVyefsQPJgDjYbXDTA8/m2NfN1eTVUVV2uNrzXwd9ts27ZNkZGR6t69u5KTk/X4448rMjJSklRYWCiXy+XRr6Ojo5WQkKCCgoJak++m9O2q8ub2M3+3Z2tDH/SNhrQrbQ4AQMfg9eT7iy++0KpVq5SZmamHH35Y77//vu6//36ZzWZNnjxZDodDkmSxWDy2s1gsOnz4cI37zM7O1qJFi6qV5+XlKTQ01NuH4CFnUOO3eSyx0vuBeMm5jwq3Nna73d8htFplZWV+e+309HRNmDBBsbGxKioq0sKFCzVixAgVFhbKbDbL4XAoODhY559/vsd2FovF3edr0py+3dx+1tr7gr/QB32jrnb1Z98GAAAtx+vJd2VlpRITE5WVlSVJ6t+/v/bt26dVq1Zp8uTJ7nomk8ljO8MwqpVVmT9/vjIzM93LpaWliomJUVpamrp27ertQ/CQYHu7wXXNAYYeS6zUwt0BclbWfCz+ttfWOh//dblcstvtSk1NVVBQkL/DaZWq7gr7w6233ur+f0JCghITExUbG6vNmze7vz5Sk7r6tdS0vl11rjS3n7XWvuAv9EHfaEi7+rNvAwCAluP15DsqKkqXX365R9lll12mV199VZLc3xl1OByKiopy1ykuLq52N7yK2WyW2WyuVh4UFOTzi0TnmcZf3DsrTU3ariW09ovqlvidtlWtqV2ioqIUGxurgwcPSjrbrysqKlRSUuJx97u4uFhDhgypdT/N6dvN7WetqT1bE/qgb9TVrrQ3AAAdg9dHOx86dKgOHDjgUfbZZ58pNjZWkhQXFyer1erxCF5FRYXy8/PrvEgH0Hp8//33OnLkiPsPaAMGDFBQUJBHvz527Jj27t1LvwYAAADkgzvfDz74oIYMGaKsrCxNnDhR77//vlavXq3Vq1dLOvu4eUZGhrKyshQfH6/4+HhlZWUpNDRUkyZN8nY4ABrg5MmT+vzzz93LRUVF+vDDDxUeHq7w8HDZbDbdcsstioqK0qFDh/Twww+rR48euvnmmyVJ3bp10913363Zs2crIiJC4eHhmjNnjvr16+ce/RwAAADoyLyefA8cOFAbN27U/PnztXjxYsXFxWn58uW644473HXmzp2r8vJyTZ8+XSUlJUpKSlJeXp7CwsK8HQ6ABti9e7eGDx/uXq76HvaUKVO0atUqffLJJ3rxxRf1448/KioqSsOHD9crr7zi0WeffvppderUSRMnTlR5eblGjhyptWvXKjAwsMWPBwAAAGhtvJ58S9KYMWM0ZsyYWtebTCbZbDbZbDZfvDyARkpJSZFh1D5119tv1z/wYOfOnbVixQqtWLHCm6EBAAAA7YLXv/MNAAAAoPXIzs52f/WzimEYstlsio6OVkhIiFJSUrRv3z7/BQl0ACTfAAAAQDu1a9curV69WldccYVHeU5OjpYtW6aVK1dq165dslqtSk1N1YkTJ/wUKdD+kXwDAAAA7dDJkyd1xx136Pnnn/eYCtQwDC1fvlwLFizQ+PHjlZCQoHXr1qmsrEy5ubl+jBho30i+AQAAgHZoxowZGj16dLWZR4qKiuRwOJSWluYuM5vNSk5OVkFBQUuHCXQYPhlwDQAAAID/bNiwQXv27NGuXbuqrXM4HJIki8XiUW6xWHT48OFa9+l0OuV0Ot3LpaWlkiSXyyWXy+WNsFtEVaxtKeZzmQNrHyi3wfsIMDz+9Sd//i4acz40N06SbwAAAKAdOXLkiB544AHl5eWpc+fOtdYzmUwey4ZhVCv7uezsbC1atKhaeV5enkJDQ5sesJ/Y7XZ/h9BkOYO8t6/HEiu9t7Mm2rJli79DaND5UFZW1qzXIPkGAAAA2pHCwkIVFxdrwIAB7rIzZ85o+/btWrlypQ4cOCDp7B3wqKgod53i4uJqd8N/bv78+crMzHQvl5aWKiYmRmlpaeratasPjsQ3XC6X7Ha7UlNTFRQU5O9wmiTBVv80sPUxBxh6LLFSC3cHyFlZ+x9dWsJe2yi/vXZjzoeqpz2aiuQbAAAAaEdGjhypTz75xKPsrrvu0qWXXqqHHnpIF110kaxWq+x2u/r37y9JqqioUH5+vpYuXVrrfs1ms8xmc7XyoKCgNpnEttW4Jcl5xnvJsrPS5NX9NUVr+D005Hxobpwk3wAAAEA7EhYWpoSEBI+yLl26KCIiwl2ekZGhrKwsxcfHKz4+XllZWQoNDdWkSZP8ETLQIZB8AwAAAB3M3LlzVV5erunTp6ukpERJSUnKy8tTWFiYv0MD2i2SbwAAAKCd27Ztm8eyyWSSzWaTzWbzSzxAR8Q83wAAAAAA+BjJNwAAAAAAPkbyDQAAAACAj/GdbwAAAABoIb3nbfZ3CPAT7nwDAAAAAOBjJN8AAAAAAPgYyTcAAAAAAD5G8g0AAAAAgI+RfAMAAAAA4GMk3wAAAAAA+BjJNwAAAAAAPkbyDQAAAACAj5F8AwAAAADgYz5PvrOzs2UymZSRkeEuMwxDNptN0dHRCgkJUUpKivbt2+frUADUYvv27Ro7dqyio6NlMpn0+uuve6xvSJ91Op2aNWuWevTooS5duujGG2/U0aNHW/AoAAAAgNbLp8n3rl27tHr1al1xxRUe5Tk5OVq2bJlWrlypXbt2yWq1KjU1VSdOnPBlOABqcerUKV155ZVauXJljesb0mczMjK0ceNGbdiwQTt27NDJkyc1ZswYnTlzpqUOAwAAAGi1fJZ8nzx5UnfccYeef/55nX/++e5ywzC0fPlyLViwQOPHj1dCQoLWrVunsrIy5ebm+iocAHVIT0/XkiVLNH78+GrrGtJnjx8/rhdeeEFPPfWUrr/+evXv31/r16/XJ598oq1bt7b04QAAAACtTidf7XjGjBkaPXq0rr/+ei1ZssRdXlRUJIfDobS0NHeZ2WxWcnKyCgoKNG3atGr7cjqdcjqd7uXS0lJJksvlksvl8tUhnI0t0Gh43QDD49/WyNft1VRVcbXW+FoDf7VNQ/psYWGhXC6XR53o6GglJCSooKBAo0aNqnHfTenbVeXN7Weca57og77RkHalzQEA6Bh8knxv2LBBe/bs0a5du6qtczgckiSLxeJRbrFYdPjw4Rr3l52drUWLFlUrz8vLU2hoqBcirl3OoMZv81hipfcD8ZItW7b4O4Q62e12f4fQapWVlfnldRvSZx0Oh4KDgz2ecqmqU7V9TZrTt5vbz1p7X/AX+qBv1NWu/urbAACgZXk9+T5y5IgeeOAB5eXlqXPnzrXWM5lMHsuGYVQrqzJ//nxlZma6l0tLSxUTE6O0tDR17drVO4HXIsH2doPrmgMMPZZYqYW7A+SsrPlY/G2vreY7kP7mcrlkt9uVmpqqoKAgf4fTKlXdFfaXxvTZhtZpSt+uOlea289aa1/wF/qgbzSkXf3dtwEAQMvwevJdWFio4uJiDRgwwF125swZbd++XStXrtSBAwcknb1TFhUV5a5TXFxc7c5aFbPZLLPZXK08KCjI5xeJzjONv7h3VpqatF1LaO0X1S3xO22r/NUuVqtVUt191mq1qqKiQiUlJR53v4uLizVkyJBa992cvt3cfsZ5VjP6oG/U1a60NwAAHYPXB1wbOXKkPvnkE3344Yfun8TERN1xxx368MMPddFFF8lqtXo8gldRUaH8/Pw6L9IB+EdcXFy9fXbAgAEKCgryqHPs2DHt3buXfg0AAADIB8l3WFiYEhISPH66dOmiiIgIJSQkuOf8zsrK0saNG7V3715NnTpVoaGhmjRpkrfDAdAAJ0+edP+xTDo7yNqHH36oL7/8skF9tlu3brr77rs1e/Zs/eMf/9AHH3ygO++8U/369dP111/vxyMDUBebzSaTyeTxU/W0i3T2qyM2m03R0dEKCQlRSkqK9u3b58eIAQBou3w22nld5s6dq/Lyck2fPl0lJSVKSkpSXl6ewsLC/BEO0OHt3r1bw4cPdy9XfQ97ypQpWrt2bYP67NNPP61OnTpp4sSJKi8v18iRI7V27VoFBga2+PEAaLi+fft6TAn48z6bk5OjZcuWae3aterTp4+WLFmi1NRUHThwgM9sAAAaqUWS723btnksm0wm2Ww22Wy2lnh5APVISUmRYdQ+dVdD+mznzp21YsUKrVixwgcRAvCVTp06edztrmIYhpYvX64FCxZo/PjxkqR169bJYrEoNze3xqlBAQBA7fxy5xv+03ve5mbv49ATo70QCQCgNTh48KCio6NlNpuVlJSkrKwsXXTRRSoqKpLD4VBaWpq7rtlsVnJysgoKCki+AXRI3riWRsdF8g0AQAeVlJSkF198UX369NE333yjJUuWaMiQIdq3b58cDockVZuJxGKx6PDhw3Xu1+l0yul0uperplNzuVxyuVzV6leVmQNqfwKnoWraf0dW1R60iydzYPPOtapzta52pc0BnIvkGwCADio9Pd39/379+umaa67RxRdfrHXr1mnw4MGSzn7t5OcMw6hWdq7s7GwtWrSoWnleXp5CQ0Nr3e6xxMrGhF+jLVu2NHsf7dHPZ6OAlDPIO/upq13Lysq88yJAB9BRns4l+QYAAJKkLl26qF+/fjp48KDGjRsnSXI4HIqKinLXKS4urnY3/Fzz5893D9wonb3zHRMTo7S0NHXt2rVafZfLJbvdroW7A+SsrDuxr89e26hmbd/eVLVtamoqc8r/TILt7WZtbw4w9FhiZZ3tWvXEBwBUIfkGAACSzj4u/umnn+raa69VXFycrFar7Ha7+vfvL0mqqKhQfn6+li5dWud+zGazzGZztfKgoKA6E0BnpUnOM81Lvkkwa1Zf23c0zT3PqtTVrrQ3gHORfAMA0EHNmTNHY8eOVa9evVRcXKwlS5aotLRUU6ZMkclkUkZGhrKyshQfH6/4+HhlZWUpNDRUkyZN8nfoAAC0OSTfAAB0UEePHtXtt9+u7777ThdccIEGDx6snTt3KjY2VpI0d+5clZeXa/r06SopKVFSUpLy8vKY4xsAgCYg+QYAoIPasGFDnetNJpNsNptsNlvLBAQAQDsW4O8AAAAAAABo70i+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAA2pHs7GwNHDhQYWFhioyM1Lhx43TgwAGPOoZhyGazKTo6WiEhIUpJSdG+ffv8FDHQMZB8AwAAAO1Ifn6+ZsyYoZ07d8put+v06dNKS0vTqVOn3HVycnK0bNkyrVy5Urt27ZLValVqaqpOnDjhx8iB9o2pxgAAAIB25K233vJYXrNmjSIjI1VYWKjrrrtOhmFo+fLlWrBggcaPHy9JWrdunSwWi3JzczVt2jR/hA20eyTfAAAAQDt2/PhxSVJ4eLgkqaioSA6HQ2lpae46ZrNZycnJKigoqDX5djqdcjqd7uXS0lJJksvlksvl8lX4XlcVa1NiNgca3g7Hb8wBhse/bV1Tz8HGnA/NPc9JvgEAAIB2yjAMZWZmatiwYUpISJAkORwOSZLFYvGoa7FYdPjw4Vr3lZ2drUWLFlUrz8vLU2hoqBejbhl2u73R2+QM8kEgfvZYYqW/Q/CKLVu2NGv7hpwPZWVlzXoNkm8AAACgnZo5c6Y+/vhj7dixo9o6k8nksWwYRrWyn5s/f74yMzPdy6WlpYqJiVFaWpq6du3qvaB9zOVyyW63KzU1VUFBQY3aNsH2to+iannmAEOPJVZq4e4AOStr/723FXtto5q0XWPOh6qnPZqK5BsAAABoh2bNmqVNmzZp+/bt6tmzp7vcarVKOnsHPCoqyl1eXFxc7W74z5nNZpnN5mrlQUFBjU5iW4OmxO080/aT1HM5K03t4riaew425Hxo7msw2jkAAADQjhiGoZkzZ+q1117TO++8o7i4OI/1cXFxslqtHo/ZVlRUKD8/X0OGDGnpcIEOgzvfAAAAQDsyY8YM5ebm6m9/+5vCwsLc3/Hu1q2bQkJCZDKZlJGRoaysLMXHxys+Pl5ZWVkKDQ3VpEmT/Bw90H6RfAMAAADtyKpVqyRJKSkpHuVr1qzR1KlTJUlz585VeXm5pk+frpKSEiUlJSkvL09hYWEtHC3QcZB8AwAAAO2IYdQ/dZTJZJLNZpPNZvN9QAAk8Z1vAAAAAAB8zuvJd3Z2tgYOHKiwsDBFRkZq3LhxOnDggEcdwzBks9kUHR2tkJAQpaSkaN++fd4OBYAX2Ww2mUwmj5+q0VIl+jUAAABQF68n3/n5+ZoxY4Z27twpu92u06dPKy0tTadOnXLXycnJ0bJly7Ry5Urt2rVLVqtVqampOnHihLfDAeBFffv21bFjx9w/n3zyiXsd/RoAAAConde/8/3WW295LK9Zs0aRkZEqLCzUddddJ8MwtHz5ci1YsEDjx4+XJK1bt04Wi0W5ubmaNm2at0MC4CWdOnXyuNtdhX4NAAAA1M3nA64dP35ckhQeHi5JKioqksPhUFpamruO2WxWcnKyCgoKarxIdzqdcjqd7uXS0lJJksvlksvl8mX4MgfWP2CFu26A4fFve+WLNq/ap69/n21Za2ibgwcPKjo6WmazWUlJScrKytJFF13UpH4tNa1vV5U3t5+1hvZsTeiDvtGQdqXNAQDoGHyafBuGoczMTA0bNkwJCQmS5J5n0GKxeNS1WCw6fPhwjfvJzs7WokWLqpXn5eUpNDTUy1F7yhnU+G0eS6z0fiCtyJYtW3y2b7vd7rN9t3VlZWV+ff2kpCS9+OKL6tOnj7755hstWbJEQ4YM0b59+5rUr6Xm9e3m9jNfnsdtGX3QN+pqV3/3bQAA0DJ8mnzPnDlTH3/8sXbs2FFtnclk8lg2DKNaWZX58+crMzPTvVxaWqqYmBilpaWpa9eu3g36HAm2txtc1xxg6LHESi3cHSBnZc3H0h7stY3y+j5dLpfsdrtSU1MVFBTk9f23B1V3hf0lPT3d/f9+/frpmmuu0cUXX6x169Zp8ODBkhrXr6Wm9e2qc6W5/cwX53FbRh/0jYa0q7/7NgAAaBk+S75nzZqlTZs2afv27erZs6e7vOr7og6HQ1FRUe7y4uLianfNqpjNZpnN5mrlQUFBPr9IdJ5p/MW9s9LUpO3aCl+2eUv8Ttuq1tYuXbp0Ub9+/XTw4EGNGzdOUuP6tdS8vt3cftba2rO1oA/6Rl3tSnsDANAxeH20c8MwNHPmTL322mt65513FBcX57E+Li5OVqvV4xG8iooK5efna8iQId4OB4CPOJ1Offrpp4qKiqJfAwAAAPXw+p3vGTNmKDc3V3/7298UFhbm/i5ot27dFBISIpPJpIyMDGVlZSk+Pl7x8fHKyspSaGioJk2a5O1wAHjJnDlzNHbsWPXq1UvFxcVasmSJSktLNWXKFPo12q3e8zY3a3tzoNGksUMAAED74/Xke9WqVZKklJQUj/I1a9Zo6tSpkqS5c+eqvLxc06dPV0lJiZKSkpSXl6ewsDBvhwPAS44eParbb79d3333nS644AINHjxYO3fuVGxsrCT6NQAAAFAXryffhlH/9D8mk0k2m002m83bLw/ARzZs2FDnevo1AAAAUDuvf+cbAAAAAAB4IvkGAAAAAMDHfDrPNwAAAAC0BlWDaFYNhplge7tdTw+M1oc73wAAAAAA+BjJNwAAAAAAPtauHztv7vysAAAAAAB4A3e+AQAAAADwMZJvAAAAAAB8jOQbAAAAAAAfI/kGAAAAAMDHSL4BAAAAAPAxkm8AAAAAAHyM5BsAAAAAAB8j+QYAAAAAwMc6+TsAAAAAAKhN73mb/R0C4BXc+QYAAAAAwMe48w0AAAAAaNOa+oSEOdBQziApwfa2nGdMOvTEaC9H9h/c+QYAAAAAwMe48w0AANDOVd3RaSpf3gkCgI6CO98A8P+3d/fhUVXn/v8/QzKZEEyQEMkkEkK0gVqDFIMCESSICUbBIlastBYs9qAoNg0cClLLUClRekRaqPR4SgWlCN9TxWrlSAaVIAdoIYUK2Fr8NTzVxBSMJCE4GZL1+4OTqUOeH3Ymmbxf1zXXxV577T33Wuy1Z9/ZTwAAAIDFSL4BAAAAALAYl50jIC59IMKlDzpoLi6DAwAAANAVcOYbAAAAAACLceYbLdbax/gDAAAAQHcV0DPfzz33nJKSkhQeHq7U1FS99957gQwHQDtgXAPBibENBCfGNtBxApZ8b968WdnZ2Vq0aJEOHDigMWPGKCsrSydOnAhUSADaiHENBCfGNhCcGNtAxwrYZecrVqzQzJkz9eCDD0qSVq5cqW3btmnNmjXKzc0NVFhAq7TXpfhd/QFyjGsgODG2geDUEWOb2xWBfwlI8l1VVaWCggItWLDArzwzM1O7d++uU9/j8cjj8fimz549K0n69NNP5fV6G/ye0Avn2ini5gmtMaqsrFGot4eqa5r/xG60vu/OnDljYVTN117bWmPtKS8vlyQZY9rlu9pbS8e11Lqx7fV6VVlZ2eZx1lm2nc6itl/PnDkju90e6HA6jbaO7dp9W2P9ythuv3EtMbYvxT6zfoztjvvd7ujj8ebgmP0i+uGiS/vByuPxgCTfp0+fVnV1tWJjY/3KY2NjVVxcXKd+bm6ulixZUqc8KSnJshhba1qgA+jCWtN3Mc+0exgB1Zz2lJeXq3fv3tYH00ItHddSYMd2sG076Lyau29jbLcPxrY16Ne6GNv/0hmPyZvCMftF9MNFX+wHK4/HA/q0c5vN/y8sxpg6ZZK0cOFC5eTk+KZramr06aefqm/fvvXWD5SysjIlJCTo5MmTioqKCnQ4XQp91zRjjMrLyxUfHx/oUBrV3HEttW5ss61Yg361RnP6lbHN9mcl+tYajO2LOusxeVMYFxfRDxe1pB/aOq4DknzHxMQoJCSkzl/VSkpK6vz1TZIcDoccDodf2eWXX25liG0SFRXVrTfgtqDvGtcZ/3Jeq6XjWmrb2GZbsQb9ao2m+pWxfRHbn3XoW2swtjv3MXlTGBcX0Q8XNbcf2jKuA/K087CwMKWmpsrtdvuVu91upaWlBSIkAG3EuAaCE2MbCE6MbaDjBeyy85ycHN1///0aPny4Ro0apeeff14nTpzQQw89FKiQALQR4xoIToxtIDgxtoGOFbDk+95779WZM2f04x//WEVFRUpJSdHWrVuVmJgYqJDazOFwaPHixXUux0HT6Lvg0BHjmm3FGvSrNYKlX60e28HST50RfWuNYOnXYDweb45g+f9rK/rhoo7sB5vprO8/AAAAAAAgSATknm8AAAAAALoTkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJdxNyc3N1ww03KDIyUv369dPkyZP14Ycf+tUxxsjlcik+Pl49e/ZUenq6jhw54lfH4/Fozpw5iomJUa9evXTnnXfq1KlTHdmUgMrNzZXNZlN2dravjH5DQ5577jklJSUpPDxcqampeu+99xqtn5+fr9TUVIWHh+uqq67SL3/5yw6KtGtpSb/u2LFDNputzuevf/1rB0bc+e3cuVOTJk1SfHy8bDabXnvttSaXYXutq6VjHk1rzbaJpjXnuBCB09R23x2OPZvqgxkzZtT5bR85cqRfna7eB1LnzeFIvpuQn5+vRx55RHv37pXb7daFCxeUmZmpc+fO+eosX75cK1as0OrVq7Vv3z45nU5lZGSovLzcVyc7O1tbtmzRpk2btGvXLlVUVGjixImqrq4ORLM61L59+/T888/ruuuu8yun31CfzZs3Kzs7W4sWLdKBAwc0ZswYZWVl6cSJE/XWLyws1O23364xY8bowIEDevzxx/XYY4/plVde6eDIO7eW9mutDz/8UEVFRb5PcnJyB0XcNZw7d05Dhw7V6tWrm1Wf7bWu1m6baFxLt000T3OOCxE4TW333eHYszlj/7bbbvP7bd+6davf/K7eB1InzuEMWqSkpMRIMvn5+cYYY2pqaozT6TRPPfWUr87nn39uevfubX75y18aY4z57LPPjN1uN5s2bfLV+cc//mF69Ohh3nrrrY5tQAcrLy83ycnJxu12m7Fjx5rvfe97xhj6DQ278cYbzUMPPeRX9uUvf9ksWLCg3vrz5883X/7yl/3KZs2aZUaOHGlZjF1RS/v13XffNZJMaWlpB0QXHCSZLVu2NFqH7bWulm6baLnmbJtonUuPC9F5XLrdd8djz/rG/vTp083Xvva1BpcJtj6o1VlyOM58t9DZs2clSdHR0ZIunsUoLi5WZmamr47D4dDYsWO1e/duSVJBQYG8Xq9fnfj4eKWkpPjqBKtHHnlEd9xxh2699Va/cvoN9amqqlJBQYHf/7kkZWZmNvh/vmfPnjr1J0yYoP3798vr9VoWa1fSmn6tNWzYMMXFxWn8+PF69913rQyzW2B79deWbRPoDC49LkTnxbHnv+zYsUP9+vXToEGD9N3vflclJSW+ecHaB50lhyP5bgFjjHJycjR69GilpKRIkoqLiyVJsbGxfnVjY2N984qLixUWFqY+ffo0WCcYbdq0SX/605+Um5tbZx79hvqcPn1a1dXVjW4XlyouLq63/oULF3T69GnLYu1KWtOvcXFxev755/XKK6/o1Vdf1eDBgzV+/Hjt3LmzI0IOWmyv/lqzbQKdRX3Hhei8OPa8KCsrS7/5zW/0zjvv6JlnntG+fft0yy23yOPxSArOPuhMOVxoq5bqph599FG9//772rVrV515NpvNb9oYU6fsUs2p01WdPHlS3/ve95SXl6fw8PAG69FvqE9Lt4v66tdX3t21pF8HDx6swYMH+6ZHjRqlkydP6j/+4z908803WxpnsGN7ras1vwVAoDV2XIjOq7sfe957772+f6ekpGj48OFKTEzUm2++qSlTpjS4XFfug86Uw3Hmu5nmzJmj119/Xe+++6769+/vK3c6nZJU568fJSUlvr+kOJ1OVVVVqbS0tME6waagoEAlJSVKTU1VaGioQkNDlZ+fr5///OcKDQ31tZt+wxfFxMQoJCSk0e3iUk6ns976oaGh6tu3r2WxdiWt6df6jBw5UkePHm3v8LoVtld/7bVtAh2toeNCdF4cs9cvLi5OiYmJvt/3YOuDzpbDkXw3wRijRx99VK+++qreeecdJSUl+c1PSkqS0+mU2+32lVVVVSk/P19paWmSpNTUVNntdr86RUVFOnz4sK9OsBk/frwOHTqkgwcP+j7Dhw/XN7/5TR08eFBXXXUV/YY6wsLClJqa6vd/Lklut7vB//NRo0bVqZ+Xl6fhw4fLbrdbFmtX0pp+rc+BAwcUFxfX3uF1K2yv/tpr2wQ6SlPHhei8OGav35kzZ3Ty5Enf73uw9EGnzeFa9Zi2buThhx82vXv3Njt27DBFRUW+T2Vlpa/OU089ZXr37m1effVVc+jQIXPfffeZuLg4U1ZW5qvz0EMPmf79+5vt27ebP/3pT+aWW24xQ4cONRcuXAhEswLii087N4Z+Q/02bdpk7Ha7Wbt2rfnggw9Mdna26dWrlzl27JgxxpgFCxaY+++/31f/73//u4mIiDDf//73zQcffGDWrl1r7Ha7+e1vfxuoJnRKLe3XZ5991mzZssX87W9/M4cPHzYLFiwwkswrr7wSqCZ0SuXl5ebAgQPmwIEDRpJZsWKFOXDggDl+/Lgxhu21OZraNtE6TW2baJ3mHBcicJra7rvDsWdjfVBeXm7mzp1rdu/ebQoLC827775rRo0aZa688sqg6gNjOm8OR/LdBEn1fl544QVfnZqaGrN48WLjdDqNw+EwN998szl06JDfes6fP28effRREx0dbXr27GkmTpxoTpw40cGtCaxLk2/6DQ35xS9+YRITE01YWJi5/vrr/V7hMn36dDN27Fi/+jt27DDDhg0zYWFhZuDAgWbNmjUdHHHX0JJ+ffrpp83VV19twsPDTZ8+fczo0aPNm2++GYCoO7faV7Jd+pk+fboxhu21uRrbNtE6TW2baJ3mHBcicJra7rvDsWdjfVBZWWkyMzPNFVdcYex2uxkwYICZPn16nfZ19T4wpvPmcLb/Cw4AAAAAAFiEe74BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAOhiduzYIZvNph07djRZd8aMGRo4cKDlMTWXzWbTo48+GugwgC6rs41pAEDzkXwDAAAAAGAxkm8AAAAAACxG8h3Ejh49qmnTpqlfv35yOBy65ppr9Itf/EKS9Pnnn2vYsGH60pe+pLNnz/qWKS4ultPpVHp6uqqrqyVJ+/fv1ze+8Q0NHDhQPXv21MCBA3Xffffp+PHjft+3bt062Ww2vfvuu3r44YcVExOjvn37asqUKfr444/96no8Hs2dO1dOp1MRERG6+eabVVBQoIEDB2rGjBnWdgzQye3atUvjx49XZGSkIiIilJaWpjfffLPJ5datW6fBgwf7xvuLL75Yp86xY8dks9m0fPly/eQnP9GAAQMUHh6u4cOH6+23365Tv7H9SK3PP/9cc+fO1Ve/+lX17t1b0dHRGjVqlH73u981GbMxRo8//rjsdrv+67/+q8n6QLD75z//qX/7t39TQkKCHA6HrrjiCt10003avn17g8t8/vnnWrhwoZKSkhQWFqYrr7xSjzzyiD777DO/egMHDtTEiRO1ZcsWXXfddQoPD9dVV12ln//853XWWVZWpnnz5vmtMzs7W+fOnWvvJgNoxF//+lfdd999io2NlcPh0IABA/Ttb39bHo9H//znPzV79mx95Stf0WWXXaZ+/frplltu0XvvvRfosNGA0EAHAGt88MEHSktL04ABA/TMM8/I6XRq27Zteuyxx3T69GktXrxY/+///T+lpqbqO9/5jl555RXV1NTom9/8powxevnllxUSEiLp4sH64MGD9Y1vfEPR0dEqKirSmjVrdMMNN+iDDz5QTEyM33c/+OCDuuOOO7Rx40adPHlS//7v/65vfetbeuedd3x1HnjgAW3evFnz58/XLbfcog8++EB33XWXysrKOrSfgM4mPz9fGRkZuu6667R27Vo5HA4999xzmjRpkl5++WXde++99S63bt06PfDAA/ra176mZ555RmfPnpXL5ZLH41GPHnX/zrp69WolJiZq5cqVqqmp0fLly5WVlaX8/HyNGjVKUvP2I9LFP6Z9+umnmjdvnq688kpVVVVp+/btmjJlil544QV9+9vfrjdmj8ejGTNm6M0339Qbb7yh2267rZ16Eei67r//fv3pT3/ST37yEw0aNEifffaZ/vSnP+nMmTP11jfGaPLkyXr77be1cOFCjRkzRu+//74WL16sPXv2aM+ePXI4HL76Bw8eVHZ2tlwul5xOp37zm9/oe9/7nqqqqjRv3jxJUmVlpcaOHatTp07p8ccf13XXXacjR47oRz/6kQ4dOqTt27fLZrN1SH8A3dmf//xnjR49WjExMfrxj3+s5ORkFRUV6fXXX1dVVZU+/fRTSdLixYvldDpVUVGhLVu2KD09XW+//bbS09MD2wDUZRCUJkyYYPr372/Onj3rV/7oo4+a8PBw8+mnnxpjjNm8ebORZFauXGl+9KMfmR49epi8vLxG133hwgVTUVFhevXqZX72s5/5yl944QUjycyePduv/vLly40kU1RUZIwx5siRI0aS+cEPfuBX7+WXXzaSzPTp01vbbKDLGzlypOnXr58pLy/3lV24cMGkpKSY/v37m5qaGvPuu+8aSebdd981xhhTXV1t4uPjzfXXX29qamp8yx07dszY7XaTmJjoKyssLDSSTHx8vDl//ryvvKyszERHR5tbb73VV9bc/cilLly4YLxer5k5c6YZNmyY3zxJ5pFHHjFnzpwxo0ePNldeeaU5ePBgi/sJCFaXXXaZyc7ObnD+9OnT/cb0W2+9ZSSZ5cuX+9Wr/X1//vnnfWWJiYnGZrPVGXMZGRkmKirKnDt3zhhjTG5urunRo4fZt2+fX73f/va3RpLZunVra5sHoAVuueUWc/nll5uSkpJm1a/9/R0/fry56667LI4OrcFl50Ho888/19tvv6277rpLERERunDhgu9z++236/PPP9fevXslSVOnTtXDDz+sf//3f9fSpUv1+OOPKyMjw299FRUV+sEPfqAvfelLCg0NVWhoqC677DKdO3dOf/nLX+p8/5133uk3fd1110mS7zL1/Px833d/0de//nWFhnIxBrqvc+fO6Q9/+IO+/vWv67LLLvOVh4SE6P7779epU6f04Ycf1lnuww8/1Mcff6xp06b5nY1KTExUWlpavd81ZcoUhYeH+6YjIyM1adIk7dy5U9XV1S3aj0jSf//3f+umm27SZZddptDQUNntdq1du7befURhYaFGjRqlsrIy7d27V0OHDm1VfwHB6MYbb9S6deu0dOlS7d27V16vt9H6tVeVXXrL1j333KNevXrVuZ3k2muvrTPmpk2bprKyMv3pT3+SJP3+979XSkqKvvrVr/qN/QkTJjT7TQsA2qayslL5+fmaOnWqrrjiigbr/fKXv9T111+v8PBw3+/v22+/Xe/vLwKP5DsInTlzRhcuXNCqVatkt9v9Prfffrsk6fTp07763/nOd+T1ehUaGqrHHnuszvqmTZum1atX68EHH9S2bdv0xz/+Ufv27dMVV1yh8+fP16nft29fv+nay91q69ZeOhcbG+tXLzQ0tM6yQHdSWloqY4zi4uLqzIuPj5ekei89rS1zOp115tVX1ljdqqoqVVRUtGg/8uqrr2rq1Km68sortWHDBu3Zs0f79u3Td77zHX3++ed1vuePf/yj/va3v+nee+9V//79G+oOoFvavHmzpk+frl/96lcaNWqUoqOj9e1vf1vFxcX11j9z5oxCQ0PrHJzbbDY5nc46+4zG9hO1dT/55BO9//77dcZ+ZGSkjDF+xxAArFFaWqrq6upGfydXrFihhx9+WCNGjNArr7yivXv3at++fbrtttvqPUZH4HGaMQj16dPHd6bskUceqbdOUlKSpItn2u6//34NGjRIn3zyiR588EG/hySdPXtWv//977V48WItWLDAV157j2dr1CbYn3zyia688kpf+YULFxq8pw3oDvr06aMePXqoqKiozrzahxbGxMTUmV87puo7OG/ogL2humFhYbrssstkt9ubvR/ZsGGDkpKStHnzZr8z7x6Pp97l7r33XjmdTi1atEg1NTX64Q9/WG89oDuKiYnRypUrtXLlSp04cUKvv/66FixYoJKSEr311lt16vft21cXLlzQP//5T78E3Bij4uJi3XDDDX71G9tP1O5LYmJi1LNnT/36179uMEYA1oqOjlZISIhOnTrVYJ0NGzYoPT1da9as8SsvLy+3Ojy0Eme+g1BERITGjRunAwcO6LrrrtPw4cPrfGp/YB966CGdOHFCr776qtauXavXX39dzz77rG9dNptNxhi/h7VI0q9+9Svf09Bb6uabb5Z08a/7X/Tb3/5WFy5caNU6gWDQq1cvjRgxQq+++qrfX6xramq0YcMG9e/fX4MGDaqz3ODBgxUXF6eXX35Zxhhf+fHjx7V79+56v+vVV1/1OytdXl6uN954Q2PGjFFISEiL9iM2m01hYWF+iXdxcXGjTzv/4Q9/qJUrV+pHP/qRFi5c2PxOArqRAQMG6NFHH1VGRobvkvBLjR8/XtLFg/AveuWVV3Tu3Dnf/FpHjhzRn//8Z7+yjRs3KjIyUtdff70kaeLEifr//r//T3379q137A8cOLCdWgigIT179tTYsWP13//93w1ebWKz2eoco7///vvas2dPR4SIVuDMd5D62c9+ptGjR2vMmDF6+OGHNXDgQJWXl+ujjz7SG2+8oXfeeUe/+tWvtGHDBr3wwgu69tprde211+rRRx/VD37wA91000268cYbFRUVpZtvvlk//elPFRMTo4EDByo/P19r167V5Zdf3qrYrr32Wt1333165plnFBISoltuuUVHjhzRM888o969e9f7ZGagu8jNzVVGRobGjRunefPmKSwsTM8995wOHz6sl19+ud4nDPfo0UNPPvmkHnzwQd1111367ne/q88++8z3NOP6hISEKCMjQzk5OaqpqdHTTz+tsrIyLVmyxFenOfsR6eKB+quvvqrZs2fr61//uk6ePKknn3xScXFxOnr0aINt/d73vqfLLrtM//Zv/6aKigr9/Oc/5wnK6NbOnj2rcePGadq0afryl7+syMhI7du3T2+99ZamTJlS7zIZGRmaMGGCfvCDH6isrEw33XST72nnw4YN0/333+9XPz4+XnfeeadcLpfi4uK0YcMGud1uPf3004qIiJAkZWdn65VXXtHNN9+s73//+7ruuutUU1OjEydOKC8vT3PnztWIESMs7w+gu1uxYoVGjx6tESNGaMGCBfrSl76kTz75RK+//rr+8z//UxMnTtSTTz6pxYsXa+zYsfrwww/14x//WElJSZzQ6qwC+rg3WKqwsNB85zvfMVdeeaWx2+3miiuuMGlpaWbp0qXm/fffNz179qzzZPHPP//cpKammoEDB5rS0lJjjDGnTp0yd999t+nTp4+JjIw0t912mzl8+LBJTEz0W772aeeXPh310icz135PTk6O6devnwkPDzcjR440e/bsMb179zbf//73LeoRoGt47733zC233GJ69eplevbsaUaOHGneeOMN3/z6xpQxxvzqV78yycnJJiwszAwaNMj8+te/rvNk5NqnnT/99NNmyZIlpn///iYsLMwMGzbMbNu2rU4sje1Hvuipp54yAwcONA6Hw1xzzTXmv/7rv8zixYvNpT8z+r+nnX/Ryy+/bEJDQ80DDzxgqqurW9lrQNf3+eefm4ceeshcd911JioqyvTs2dMMHjzYLF682Pck8kvHtDHGnD9/3vzgBz8wiYmJxm63m7i4OPPwww/7fsdrJSYmmjvuuMP89re/Nddee60JCwszAwcONCtWrKgTS0VFhfnhD39oBg8ebMLCwkzv3r3NkCFDzPe//31TXFxsVRcAuMQHH3xg7rnnHtO3b18TFhZmBgwYYGbMmGE+//xz4/F4zLx588yVV15pwsPDzfXXX29ee+21evcT6BxsxnzhGkUggHbv3q2bbrpJv/nNbzRt2rRAhwMEpWPHjikpKUk//elPfe/0BdA9DBw4UCkpKfr9738f6FAAoFvisnMEhNvt1p49e5SamqqePXvqz3/+s5566iklJyc3eGkdAAAAAHRVJN8IiKioKOXl5WnlypUqLy9XTEyMsrKylJub6/fuYQAAAAAIBlx2DgAAAACAxXisNAAAQWrnzp2aNGmS4uPjZbPZ9Nprr/nNnzFjhmw2m99n5MiRfnU8Ho/mzJmjmJgY9erVS3feeWej750FAAD1I/kGACBInTt3TkOHDtXq1asbrHPbbbepqKjI99m6davf/OzsbG3ZskWbNm3Srl27VFFRoYkTJ6q6utrq8AEACCrc8w0AQJDKyspSVlZWo3UcDkeD74M/e/as1q5dq5deekm33nqrJGnDhg1KSEjQ9u3bNWHChHaPGQCAYMWZbwBcmgp0Yzt27FC/fv00aNAgffe731VJSYlvXkFBgbxerzIzM31l8fHxSklJ0e7duwMRLgAAXVaXPPNdU1Ojjz/+WJGRkbLZbIEOB+gQxhiVl5crPj5ePXq079/Nai9NfeCBB3T33XfXW+e2227TCy+84JsOCwvzm5+dna033nhDmzZtUt++fTV37lxNnDhRBQUFCgkJaVYcjG10R1aO7aZkZWXpnnvuUWJiogoLC/XEE0/olltuUUFBgRwOh4qLixUWFqY+ffr4LRcbG6vi4uIG1+vxeOTxeHzTNTU1+vTTT9W3b1/GNrqNQI7tjsLvNrqbto7rLpl8f/zxx0pISAh0GEBAnDx5Uv3792/XdXaWS1MZ2+jOrBjbTbn33nt9/05JSdHw4cOVmJioN998U1OmTGlwOWNMowfaubm5WrJkSbvGCnRVgRjbHYXfbXRXrR3XXTL5joyMlHSx0VFRUfXW8Xq9ysvLU2Zmpux2e0eGF9ToV+s01bdlZWVKSEjwbf8drfbS1Msvv1xjx47VT37yE/Xr109S05emNpR8X3p2rPbNh4WFhQ220+v16t1339W4ceOCbhsM5rZJtK8h5eXlSkpKCtjY/qK4uDglJibq6NGjkiSn06mqqiqVlpb6nf0uKSlRWlpag+tZuHChcnJyfNNnz57VgAEDGhzbwb5tBBJ9a43m9GtnGttWaeqYvLscN3aHdnaHNkrWH493yeS79q/tUVFRjSbfERERioqKCuoNpKPRr9Zpbt8G4rIuqy5Nbejs2J49exQREdHgchEREfrDH/7Q+gZ1YsHcNon21aeyslJSYMb2pc6cOaOTJ08qLi5OkpSamiq73S63262pU6dKkoqKinT48GEtX768wfU4HA45HI465dHR0Q0eoEdERKhv3778trQz+tYazenX2vLOMLat0tQxeXc5buwO7ewObZSsPx7vksk3gI5l1aWpl54dq/1rYmZmZqN/WHO73crIyAi6nX8wt02ifQ0pKyuzLKaKigp99NFHvunCwkIdPHhQ0dHRio6Olsvl0t133624uDgdO3ZMjz/+uGJiYnTXXXdJknr37q2ZM2dq7ty56tu3r6KjozVv3jwNGTLEd4sJAABoHpJvAC3WXpemNnR2zG63N5m8NKdOVxXMbZNoX331rbJ//36NGzfON137x67p06drzZo1OnTokF588UV99tlniouL07hx47R582a/y+meffZZhYaGaurUqTp//rzGjx+vdevWNftBigAA4CKSbwAt1l6XpgKwVnp6uu9ZCvXZtm1bk+sIDw/XqlWrtGrVqvYMDQCAbqdFz0fPzc3VDTfcoMjISPXr10+TJ0/Whx9+6FfHGCOXy6X4+Hj17NlT6enpOnLkiF8d3gcMdC4VFRU6ePCgDh48KOlfl6aeOHFCFRUVmjdvnvbs2aNjx45px44dmjRpUoOXpr799ts6cOCAvvWtb3FpKgAAAPB/WpR85+fn65FHHtHevXvldrt14cIFZWZm6ty5c746y5cv14oVK7R69Wrt27dPTqdTGRkZKi8v99XJzs7Wli1btGnTJu3atUsVFRWaOHGiqqur269lAJpt//79GjZsmIYNGybp4qWpw4YN049+9COFhITo0KFD+trXvqZBgwZp+vTpGjRokPbs2VPn0tTJkydr6tSpuummmxQREaE33niDS1MBAAAAtfCy87feestv+oUXXlC/fv1UUFCgm2++WcYYrVy5UosWLfI9hGn9+vWKjY3Vxo0bNWvWrHZ7HzCA9sOlqQAAAIC12nTP99mzZyVdfHWIdPFS1eLiYr93/TocDo0dO1a7d+/WrFmzWvU+4EvfBVz7ZFiv1yuv11tvbLXlqT9+S56a1r/i4bCLPwZ8UW2/NtTvaL2m+pY+95fi2iZPdevH9rGn7mjHaAC0h7aOa4mxDXRG/GYDF7U6+TbGKCcnR6NHj1ZKSook+d7nGxsb61c3NjZWx48f99Vp6fuAG3oXcF5eXqPvApakJ4fXNK9BDdi6dWublg9Wbrc70CEErYb6tvZdwAAAAAC6nlYn348++qjef/997dq1q868S9/r29S7fpuq05Z3AT+xvwdnvttRsL+nN5Ca6lsr3wUMAAAAwFqtSr7nzJmj119/XTt37lT//v195U6nU9LFs9u1ryCSLr7rt/ZseGveB9yWdwF7amxtusyFBLN+wf6e3kBqqG/pbwAAAKDratHTzo0xevTRR/Xqq6/qnXfeUVJSkt/8pKQkOZ1Ov8tmq6qqlJ+f70usv/g+4Fq17wNuKPkGAAAAAKAra9GZ70ceeUQbN27U7373O0VGRvru0e7du7d69uwpm82m7OxsLVu2TMnJyUpOTtayZcsUERGhadOm+erWvg+4b9++io6O1rx583gfMAAAAAAgaLUo+V6zZo2ki68l+qIXXnhBM2bMkCTNnz9f58+f1+zZs1VaWqoRI0YoLy+vzvuAQ0NDNXXqVJ0/f17jx4/XunXreB8wAAAAACAotSj5buw9wLVsNptcLpdcLleDdXgfMAAAQMfhVU8AEHgtuucbAAAAAAC0HMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAKAL2blzpyZNmqT4+HjZbDa99tprfvNnzJghm83m9xk5cqRfHY/Hozlz5igmJka9evXSnXfeqVOnTnVgK4Duh+QbAAAA6ELOnTunoUOHavXq1Q3Wue2221RUVOT7bN261W9+dna2tmzZok2bNmnXrl2qqKjQxIkTVV1dbXX4QLcVGugAAAAAADRfVlaWsrKyGq3jcDjkdDrrnXf27FmtXbtWL730km699VZJ0oYNG5SQkKDt27drwoQJ7R4zAJJvAAAAIOjs2LFD/fr10+WXX66xY8fqJz/5ifr16ydJKigokNfrVWZmpq9+fHy8UlJStHv37gaTb4/HI4/H45suKyuTJHm9Xnm93jr1a8scPUyb2lLfujuT2vg6e5xt0R3aKDXdzra2n+QbAAAACCJZWVm65557lJiYqMLCQj3xxBO65ZZbVFBQIIfDoeLiYoWFhalPnz5+y8XGxqq4uLjB9ebm5mrJkiV1yvPy8hQREdHgck8Or2l9Y6Q6l8x3Vm63O9AhWK47tFFquJ2VlZVtWi/JNwAAABBE7r33Xt+/U1JSNHz4cCUmJurNN9/UlClTGlzOGCObzdbg/IULFyonJ8c3XVZWpoSEBGVmZioqKqpOfa/XK7fbrSf295CnpuH1NuWwq3NfBl/bzoyMDNnt9kCHY4nu0Eap6XbWXu3RWiTfAAAAQBCLi4tTYmKijh49KklyOp2qqqpSaWmp39nvkpISpaWlNbgeh8Mhh8NRp9xutzeakHlqbPJUtz757irJXlP9EAy6QxulhtvZ1rbztHMAAAAgiJ05c0YnT55UXFycJCk1NVV2u93v0tqioiIdPny40eQbQNtw5hsAAADoQioqKvTRRx/5pgsLC3Xw4EFFR0crOjpaLpdLd999t+Li4nTs2DE9/vjjiomJ0V133SVJ6t27t2bOnKm5c+eqb9++io6O1rx58zRkyBDf088BtD+SbwAAAKAL2b9/v8aNG+ebrr0Pe/r06VqzZo0OHTqkF198UZ999pni4uI0btw4bd68WZGRkb5lnn32WYWGhmrq1Kk6f/68xo8fr3Xr1ikkJKTD2wN0FyTfAAAAQBeSnp4uYxp+fde2bduaXEd4eLhWrVqlVatWtWdoABrBPd8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiLU6+d+7cqUmTJik+Pl42m02vvfaa3/wZM2bIZrP5fUaOHOlXx+PxaM6cOYqJiVGvXr1055136tSpU21qCAAAAAAAnVWLk+9z585p6NChWr16dYN1brvtNhUVFfk+W7du9ZufnZ2tLVu2aNOmTdq1a5cqKio0ceJEVVdXt7wFAAAAAAB0cqEtXSArK0tZWVmN1nE4HHI6nfXOO3v2rNauXauXXnpJt956qyRpw4YNSkhI0Pbt2zVhwoSWhgQAAAAAQKdmyT3fO3bsUL9+/TRo0CB997vfVUlJiW9eQUGBvF6vMjMzfWXx8fFKSUnR7t27rQgHAAAAAICAavGZ76ZkZWXpnnvuUWJiogoLC/XEE0/olltuUUFBgRwOh4qLixUWFqY+ffr4LRcbG6vi4uJ61+nxeOTxeHzTZWVlkiSv1yuv11vvMrXljh6mTe1paP3dVW1/0C/tr6m+pc8BAACArqvdk+97773X9++UlBQNHz5ciYmJevPNNzVlypQGlzPGyGaz1TsvNzdXS5YsqVOel5eniIiIRuN5cnhNMyOv36X3q+Mit9sd6BCCVkN9W1lZ2cGRAAAAAGgv7Z58XyouLk6JiYk6evSoJMnpdKqqqkqlpaV+Z79LSkqUlpZW7zoWLlyonJwc33RZWZkSEhKUmZmpqKioepfxer1yu916Yn8PeWrqT+qb47CLe9C/qLZfMzIyZLfbAx1OUGmqb2uv+AAAAADQ9ViefJ85c0YnT55UXFycJCk1NVV2u11ut1tTp06VJBUVFenw4cNavnx5vetwOBxyOBx1yu12e5MJoKfGJk9165NvEsz6Nafv0ToN9S39DQAAAHRdLX7gWkVFhQ4ePKiDBw9KkgoLC3Xw4EGdOHFCFRUVmjdvnvbs2aNjx45px44dmjRpkmJiYnTXXXdJknr37q2ZM2dq7ty5evvtt3XgwAF961vf0pAhQ3xPPwcAAG23c+dOTZo0SfHx8bLZbHrttdf85htj5HK5FB8fr549eyo9PV1Hjhzxq+PxeDRnzhzFxMSoV69euvPOO3Xq1KkObAUAAMGhxcn3/v37NWzYMA0bNkySlJOTo2HDhulHP/qRQkJCdOjQIX3ta1/ToEGDNH36dA0aNEh79uxRZGSkbx3PPvusJk+erKlTp+qmm25SRESE3njjDYWEhLRfywAA6ObOnTunoUOHavXq1fXOX758uVasWKHVq1dr3759cjqdysjIUHl5ua9Odna2tmzZok2bNmnXrl2qqKjQxIkTVV1d3VHNAAAgKLQ4+U5PT5cxps5n3bp16tmzp7Zt26aSkhJVVVXp+PHjWrdunRISEvzWER4erlWrVunMmTOqrKzUG2+8UacOgI7D2TEgOGVlZWnp0qX1PvDUGKOVK1dq0aJFmjJlilJSUrR+/XpVVlZq48aNkqSzZ89q7dq1euaZZ3Trrbdq2LBh2rBhgw4dOqTt27d3dHMAAOjSLHnPN4CuhbNjQPdTWFio4uJiZWZm+socDofGjh2r3bt3S5IKCgrk9Xr96sTHxyslJcVXBwAANI/lD1wD0PllZWUpKyur3nmXnh2TpPXr1ys2NlYbN27UrFmzfGfHXnrpJd+zGzZs2KCEhARt375dEybw1gCgsykuLpYkxcbG+pXHxsbq+PHjvjphYWF+byeprVO7fH08Ho88Ho9vuvZtDV6vV16vt0792jJHD9OKltS/LlzUXn1Lv/qr7Y/G+oU+A3Apkm8AjWrq7NisWbOaPDvWUPLd0gP02nlScB5INudgriujfY0vFyg2m/8bQYwxdcou1VSd3NxcLVmypE55Xl6eIiIiGlzuyeE1TUTbtK1bt7Z5HcGorX1Lv9bP7XY3OK+ysrIDIwHQFZB8A2iUlWfHWnuALgX3gWRjB3PBgPb5C9QButPplHRx/Na+DlSSSkpKfOPd6XSqqqpKpaWlfuO7pKREaWlpDa574cKFysnJ8U2XlZUpISFBmZmZioqKqlPf6/XK7Xbrif095Klp/etBJemwiyttvqi9+pZ+9VfbrxkZGQ2+CrT2D8oAUIvkG0CzWHF2rKUH6FJwH0g252CuK6N99QvUAXpSUpKcTqfcbrfvDSZVVVXKz8/X008/LUlKTU2V3W6X2+3W1KlTJUlFRUU6fPiwli9f3uC6HQ6HHA5HnXK73d5o33hqbPJUty35DsZtqz20tW/p1/o1tk3TZwAuRfINoFFWnh1r7QG6FNwHks1pf1dG++rWt0pFRYU++ugj33RhYaEOHjyo6OhoDRgwQNnZ2Vq2bJmSk5OVnJysZcuWKSIiQtOmTZMk9e7dWzNnztTcuXPVt29fRUdHa968eRoyZIjv+Q4AAKB5eNo5gEZ98exYrdqzY7WJ9RfPjtWqPTvWWPINwFr79+/XsGHDfGe2c3JyNGzYMP3oRz+SJM2fP1/Z2dmaPXu2hg8frn/84x/Ky8tTZGSkbx3PPvusJk+erKlTp+qmm25SRESE3njjDYWEhASkTQAAdFWc+QbA2TEgSKWnp8uYhh9OaLPZ5HK55HK5GqwTHh6uVatWadWqVRZECABA90HyDUD79+/XuHHjfNO192FPnz5d69at0/z583X+/HnNnj1bpaWlGjFiRL1nx0JDQzV16lSdP39e48eP17p16zg7BgAAAIjkG4A4OwYAAABYjXu+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAABAF7Jz505NmjRJ8fHxstlseu211/zmG2PkcrkUHx+vnj17Kj09XUeOHPGr4/F4NGfOHMXExKhXr1668847derUqQ5sBdD9kHwDAAAAXci5c+c0dOhQrV69ut75y5cv14oVK7R69Wrt27dPTqdTGRkZKi8v99XJzs7Wli1btGnTJu3atUsVFRWaOHGiqqurO6oZQLcTGugAAAAAADRfVlaWsrKy6p1njNHKlSu1aNEiTZkyRZK0fv16xcbGauPGjZo1a5bOnj2rtWvX6qWXXtKtt94qSdqwYYMSEhK0fft2TZgwocPaAnQnJN8AAABAkCgsLFRxcbEyMzN9ZQ6HQ2PHjtXu3bs1a9YsFRQUyOv1+tWJj49XSkqKdu/e3WDy7fF45PF4fNNlZWWSJK/XK6/XW6d+bZmjh2lTm+pbd2dSG19nj7MtukMbpabb2db2k3wDAAAAQaK4uFiSFBsb61ceGxur48eP++qEhYWpT58+derULl+f3NxcLVmypE55Xl6eIiIiGlzuyeE1zY6/Plu3bm3T8h3F7XYHOgTLdYc2Sg23s7Kysk3rJfkGAAAAgozNZvObNsbUKbtUU3UWLlyonJwc33RZWZkSEhKUmZmpqKioOvW9Xq/cbree2N9DnprGv7sxh12d+zL42nZmZGTIbrcHOhxLdIc2Sk23s/Zqj9Yi+QYAAACChNPplHTx7HZcXJyvvKSkxHc23Ol0qqqqSqWlpX5nv0tKSpSWltbguh0OhxwOR51yu93eaELmqbHJU9365LurJHtN9UMw6A5tlBpuZ1vbztPOAQAAgCCRlJQkp9Ppd9lsVVWV8vPzfYl1amqq7Ha7X52ioiIdPny40eQbQNtw5hsAAADoQioqKvTRRx/5pgsLC3Xw4EFFR0drwIABys7O1rJly5ScnKzk5GQtW7ZMERERmjZtmiSpd+/emjlzpubOnau+ffsqOjpa8+bN05AhQ3xPPwfQ/ki+AQAAgC5k//79GjdunG+69j7s6dOna926dZo/f77Onz+v2bNnq7S0VCNGjFBeXp4iIyN9yzz77LMKDQ3V1KlTdf78eY0fP17r1q1TSEhIh7cH6C5IvgEAAIAuJD09XcY0/Poum80ml8sll8vVYJ3w8HCtWrVKq1atsiBCAPXhnm8AAAAAACxG8g0AAAAAgMVanHzv3LlTkyZNUnx8vGw2m1577TW/+cYYuVwuxcfHq2fPnkpPT9eRI0f86ng8Hs2ZM0cxMTHq1auX7rzzTp06dapNDQEAAAAAoLNqcfJ97tw5DR06VKtXr653/vLly7VixQqtXr1a+/btk9PpVEZGhsrLy311srOztWXLFm3atEm7du1SRUWFJk6cqOrq6ta3BAAAAACATqrFD1zLyspSVlZWvfOMMVq5cqUWLVqkKVOmSJLWr1+v2NhYbdy4UbNmzdLZs2e1du1avfTSS75XGWzYsEEJCQnavn27JkyY0IbmAAAAAADQ+bTr084LCwtVXFyszMxMX5nD4dDYsWO1e/duzZo1SwUFBfJ6vX514uPjlZKSot27d9ebfHs8Hnk8Ht90WVmZJMnr9crr9dYbS225o0fDT4JsjobW313V9gf90v6a6lv6HAAAAOi62jX5Li4uliTFxsb6lcfGxur48eO+OmFhYerTp0+dOrXLXyo3N1dLliypU56Xl6eIiIhGY3pyeE2z46/P1q1b27R8sHK73YEOIWg11LeVlZUdHAkAAACA9mLJe75tNpvftDGmTtmlGquzcOFC5eTk+KbLysqUkJCgzMxMRUVF1buM1+uV2+3WE/t7yFPT+Hc35rCLy+C/qLZfMzIyZLfbAx1Op5Hi2tbmdTh6GD05vKbBvq294gMAAABA19OuybfT6ZR08ex2XFycr7ykpMR3NtzpdKqqqkqlpaV+Z79LSkqUlpZW73odDoccDkedcrvd3mQC6KmxyVPd+uSbBLN+zen77qQt29ilGupb+hsAAADoutr1Pd9JSUlyOp1+l81WVVUpPz/fl1inpqbKbrf71SkqKtLhw4cbTL4BAAAAAOjKWnzmu6KiQh999JFvurCwUAcPHlR0dLQGDBig7OxsLVu2TMnJyUpOTtayZcsUERGhadOmSZJ69+6tmTNnau7cuerbt6+io6M1b948DRkyxPf0cwAAAAAAgkmLk+/9+/dr3Lhxvunae7GnT5+udevWaf78+Tp//rxmz56t0tJSjRgxQnl5eYqMjPQt8+yzzyo0NFRTp07V+fPnNX78eK1bt04hISHt0CQAAAAAADqXFiff6enpMqbh13fZbDa5XC65XK4G64SHh2vVqlVatWpVS78eAAAAAIAup13v+QYAAAAAAHWRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBioYEOAAAABIbL5dKSJUv8ymJjY1VcXCxJMsZoyZIlev7551VaWqoRI0boF7/4ha699tpAhAsAATdwwZt1yhwhRstvlFJc2+SptjW5jmNP3WFFaOgCOPMNoFlcLpdsNpvfx+l0+uYbY+RyuRQfH6+ePXsqPT1dR44cCWDEAJrj2muvVVFRke9z6NAh37zly5drxYoVWr16tfbt2yen06mMjAyVl5cHMGIAALomkm8AzcZBOhB8QkND5XQ6fZ8rrrhC0sU/qK1cuVKLFi3SlClTlJKSovXr16uyslIbN24McNQAAHQ9XHYOoNlqD9IvdelBuiStX79esbGx2rhxo2bNmtXRoQJopqNHjyo+Pl4Oh0MjRozQsmXLdNVVV6mwsFDFxcXKzMz01XU4HBo7dqx2797d6Lj2eDzyeDy+6bKyMkmS1+uV1+utU7+2zNHDtLk99a2/O2uvvqVf/dX2R2P9Qp8BuBTJN4Bma++D9JYeoNfOk9p+IDl40e/btLwkHXZNaPM6vqg5B3NdGe1rfLlAGDFihF588UUNGjRIn3zyiZYuXaq0tDQdOXLEd993bGys3zKxsbE6fvx4o+vNzc2tcy+5JOXl5SkiIqLB5Z4cXtOKVvjbunVrm9cRjNrat/Rr/dxud4PzKisrOzASAF0ByTeAZrHiIL21B+hS+xykt5VVB6ONHcwFA9rnL5AH6FlZWb5/DxkyRKNGjdLVV1+t9evXa+TIkZIkm83/4UHGmDpll1q4cKFycnJ802VlZUpISFBmZqaioqLq1Pd6vXK73Xpifw95app+WFFj2vuPYl1de/Ut/eqvtl8zMjJkt9vrrVP7B2UAqEXyDaBZrDhIb+kButS+B+ltZcWZ76YO5roy2le/znSA3qtXLw0ZMkRHjx7V5MmTJUnFxcWKi4vz1SkpKanzh7ZLORwOORyOOuV2u73RvvHU2Jr1pODGBOO21R7a2rf0a/0a26bpMwCXIvkG0CrtcZDe2gN0qX0O0tvKqgOr5rS/K6N9det3Fh6PR3/5y180ZswYJSUlyel0yu12a9iwYZKkqqoq5efn6+mnnw5wpAAAdD087RxAq9QepMfFxfkdpNeqPUhPS0sLYJQAGjNv3jzl5+ersLBQf/jDH/T1r39dZWVlmj59umw2m7Kzs7Vs2TJt2bJFhw8f1owZMxQREaFp06YFOnQAALocznwDaJZ58+Zp0qRJGjBggEpKSrR06dJ6D9KTk5OVnJysZcuWcZAOdHKnTp3Sfffdp9OnT+uKK67QyJEjtXfvXiUmJkqS5s+fr/Pnz2v27NkqLS3ViBEjlJeXp8jIyABHDgBA10PyDaBZOEgHgs+mTZsanW+z2eRyueRyuTomIAAAghjJN4Bm4SAdAAAAaD3u+QYAAACCiMvlks1m8/s4nU7ffGOMXC6X4uPj1bNnT6Wnp+vIkSMBjBjoHki+AQAAgCBz7bXXqqioyPc5dOiQb97y5cu1YsUKrV69Wvv27ZPT6VRGRobKy8sDGDEQ/Ei+AQAAgCATGhoqp9Pp+1xxxRWSLp71XrlypRYtWqQpU6YoJSVF69evV2VlpTZu3BjgqIHgxj3fAAAAQJA5evSo4uPj5XA4NGLECC1btkxXXXWVCgsLVVxcrMzMTF9dh8OhsWPHavfu3Zo1a1aD6/R4PPJ4PL7psrIySZLX65XX661Tv7bM0cO0qS31rTtQHCF121Lbvua2szO1p7lqY+6KsbdEU+1sa/tJvgEAAIAgMmLECL344osaNGiQPvnkEy1dulRpaWk6cuSIiouLJUmxsbF+y8TGxur48eONrjc3N1dLliypU56Xl6eIiIgGl3tyeE0rWvEvW7dubdPy7Wn5jQ3Pa247O1N7Wsrtdgc6hA7RUDsrKyvbtF6SbwAAACCIZGVl+f49ZMgQjRo1SldffbXWr1+vkSNHSrr4lpIvMsbUKbvUwoULlZOT45suKytTQkKCMjMzFRUVVae+1+uV2+3WE/t7yFPT+Lobc9g1odXLtrcU17Y6ZY4eRk8Or2l2OztTe5qr9v8yIyNDdrs90OFYpql21l7t0Vrtnny7XK46fxGLjY31/ZXNGKMlS5bo+eef970L+Be/+IWuvfba9g4FACw1cMGbbV7HsafuaIdIAABoWK9evTRkyBAdPXpUkydPliQVFxcrLi7OV6ekpKTO2fBLORwOORyOOuV2u73RhMxTY5OnuvXJd2dK9hprR3Pb2Zna01JN/V8Hi4ba2da2W/LANZ6uCAAAAHQOHo9Hf/nLXxQXF6ekpCQ5nU6/y2qrqqqUn5+vtLS0AEYJBD9LLjuvfbripS59uqIkrV+/XrGxsdq4cWOjD3gAAAAA0LR58+Zp0qRJGjBggEpKSrR06VKVlZVp+vTpstlsys7O1rJly5ScnKzk5GQtW7ZMERERmjZtWqBDB4KaJWe+a5+umJSUpG984xv6+9//LklNPl0RAAAAQNucOnVK9913nwYPHqwpU6YoLCxMe/fuVWJioiRp/vz5ys7O1uzZszV8+HD94x//UF5eniIjIwMcORDc2v3MtxVPV2zpaw1q50nB9WqDzqC7vGagpep77USL1/F/26pVrzYAAADdw6ZNmxqdb7PZ5HK55HK5OiYgAJIsSL6teLpia19rIAXXqw06k+7ymoHmauy1Ey1l1asNAAAAAASO5a8aa4+nK7b0tQZScL7aoDPoLq8ZaKn6XjvRUrWvqbDq1QYAAAAAAsfy5Lv26Ypjxozxe7risGHDJP3r6YpPP/10g+to7WsNpOB6tUFn0l1eM9BcbdnGLmXVqw0AAAAABE67J988XREAAAAAAH/tnnzXPl3x9OnTuuKKKzRy5Mg6T1c8f/68Zs+erdLSUo0YMYKnKwIAAABABxu44M1m1XOEGC2/8eKtlpde8XnsqTusCC0otXvyzdMVAQAAAADwZ8l7vgEAAAAAwL+QfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFgsNNABAEB3NnDBm75/O0KMlt8opbi2yVNta9F6jj11R3uHBgAAgHbEmW8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBj3fAMAAKBb+eLzNlqj9hkdANASJN8AEATaeiAp8dA2AAAAK3HZOQAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbAAAAAACL8cA1AAAAAECX1h4Pn7X6TQac+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMR64BgCQ1D4PKjn21B3tEAkAAEDw4cw3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxXjPNwCg3TT2rnBHiNHyG6UU1zZ5qm0N1uNd4QAAIBhx5hsAAAAAAIuRfAMAAAAAYLGAJt/PPfeckpKSFB4ertTUVL333nuBDAdAO2BcA8GJsQ0EJ8Y20HEClnxv3rxZ2dnZWrRokQ4cOKAxY8YoKytLJ06cCFRIANqIcQ0EJ8Y2EJwY20DHCtgD11asWKGZM2fqwQcflCStXLlS27Zt05o1a5SbmxuosAC0AeMawaaxB8hdqqEHygXDA+QY20BwYmwDHSsgyXdVVZUKCgq0YMECv/LMzEzt3r27Tn2PxyOPx+ObPnv2rCTp008/ldfrrfc7vF6vKisrFertoeqahp+q25QzZ860etlgVNuvZ86ckd1uD3Q4nUbohXNtX0eNUWVlTYN9W15eLkkyxrT5u6zQ0nEtBXZsd0a120Awtk1qfvu+NO//tcv3/WHh+DavoyVju6H2NfU7wthu33HN77Y/jofq19bf7aZ+syXGthSc2199205Lf787e3vqrddIGztLe7rE8bgJgH/84x9Gkvnf//1fv/Kf/OQnZtCgQXXqL1682Ejiw4ePZE6ePNlRQ7VFWjqujWFs8+HzxQ9jmw+f4PwwtvnwCb5Pa8d1QN/zbbP5/9XEGFOnTJIWLlyonJwc33RNTY0+/fRT9e3bt976klRWVqaEhASdPHlSUVFR7Rt4N0a/WqepvjXGqLy8XPHx8QGIrvmaO64lxvalgrltEu1rCGM7+LeNQKJvrdGcfmVsd5/trzu0szu0UbL+eDwgyXdMTIxCQkJUXFzsV15SUqLY2Ng69R0OhxwOh1/Z5Zdf3qzvioqKCuoNJFDoV+s01re9e/fu4Giar6XjWmJsNySY2ybRvvowti8K9m0jkOhbazTVr4zti7rL9tcd2tkd2ihZdzwekKedh4WFKTU1VW6326/c7XYrLS0tECEBaCPGNRCcGNtAcGJsAx0vYJed5+Tk6P7779fw4cM1atQoPf/88zpx4oQeeuihQIUEoI0Y10BwYmwDwYmxDXSsgCXf9957r86cOaMf//jHKioqUkpKirZu3arExMR2Wb/D4dDixYvrXBqDtqFfrRMMfWv1uJaCo58aEsxtk2hfV8ZvdtdF31ojWPqVsd0+ukM7u0MbJevbaTOmk77/AAAAAACAIBGQe74BAAAAAOhOSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGJdOvl+7rnnlJSUpPDwcKWmpuq9995rtH5+fr5SU1MVHh6uq666Sr/85S87KNKupSX9umPHDtlstjqfv/71rx0Ycee3c+dOTZo0SfHx8bLZbHrttdeaXIbtta6WjvmuIjc3VzfccIMiIyPVr18/TZ48WR9++GGgw7JEbm6ubDabsrOzAx1Ku/nHP/6hb33rW+rbt68iIiL01a9+VQUFBYEOq8tozf4RjetO+5SOtmbNGl133XWKiopSVFSURo0apf/5n/8JdFidVrD+btfqDvuv7rA/6chx3WWT782bNys7O1uLFi3SgQMHNGbMGGVlZenEiRP11i8sLNTtt9+uMWPG6MCBA3r88cf12GOP6ZVXXungyDu3lvZrrQ8//FBFRUW+T3JycgdF3DWcO3dOQ4cO1erVq5tVn+21rtZum11Bfn6+HnnkEe3du1dut1sXLlxQZmamzp07F+jQ2tW+ffv0/PPP67rrrgt0KO2mtLRUN910k+x2u/7nf/5HH3zwgZ555hldfvnlgQ6ty2jp/hFN6y77lEDo37+/nnrqKe3fv1/79+/XLbfcoq997Ws6cuRIoEPrdIL5d7tWd9h/dYf9SYeOa9NF3Xjjjeahhx7yK/vyl79sFixYUG/9+fPnmy9/+ct+ZbNmzTIjR460LMauqKX9+u677xpJprS0tAOiCw6SzJYtWxqtw/ZaV0u3za6spKTESDL5+fmBDqXdlJeXm+TkZON2u83YsWPN9773vUCH1C5+8IMfmNGjRwc6jKDRnP0jWi4Y9ymdSZ8+fcyvfvWrQIfR6XSn321jus/+q7vsT6wa113yzHdVVZUKCgqUmZnpV56Zmandu3fXu8yePXvq1J8wYYL2798vr9drWaxdSWv6tdawYcMUFxen8ePH691337UyzG6B7dVfW7bNrujs2bOSpOjo6ABH0n4eeeQR3XHHHbr11lsDHUq7ev311zV8+HDdc8896tevn4YNG6b/+q//CnRYgJ9g3Kd0BtXV1dq0aZPOnTunUaNGBTqcTqW7/W53J8G+P7F6XIe2+xo7wOnTp1VdXa3Y2Fi/8tjYWBUXF9e7THFxcb31L1y4oNOnTysuLs6yeLuK1vRrXFycnn/+eaWmpsrj8eill17S+PHjtWPHDt18880dEXZQYnv115pts6syxignJ0ejR49WSkpKoMNpF5s2bdKf/vQn7du3L9ChtLu///3vWrNmjXJycvT444/rj3/8ox577DE5HA59+9vfDnR4QFDuUwLt0KFDGjVqlD7//HNddtll2rJli77yla8EOqxOpTv9bncnwbw/6ahx3SWT71o2m81v2hhTp6yp+vWVd3ct6dfBgwdr8ODBvulRo0bp5MmT+o//+A+S7zZie62rpWO+K3r00Uf1/vvva9euXYEOpV2cPHlS3/ve95SXl6fw8PBAh9PuampqNHz4cC1btkzSxauAjhw5ojVr1pB8o1MItn1KZzB48GAdPHhQn332mV555RVNnz5d+fn5JOD16A6/291JMO9POmpcd8nLzmNiYhQSElLnL2clJSV1/sJWy+l01ls/NDRUffv2tSzWrqQ1/VqfkSNH6ujRo+0dXrfC9uqvvbbNzm7OnDl6/fXX9e6776p///6BDqddFBQUqKSkRKmpqQoNDVVoaKjy8/P185//XKGhoaqurg50iG0SFxdX54f5mmuuCaoHCqHrCsZ9SmcQFhamL33pSxo+fLhyc3M1dOhQ/exnPwt0WJ1Kd/nd7k6CfX/SUeO6SybfYWFhSk1Nldvt9it3u91KS0urd5lRo0bVqZ+Xl6fhw4fLbrdbFmtX0pp+rc+BAwe63WXR7Y3t1V97bZudlTFGjz76qF599VW98847SkpKCnRI7Wb8+PE6dOiQDh486PsMHz5c3/zmN3Xw4EGFhIQEOsQ2uemmm+q8cuVvf/ubEhMTAxQRENz7lM7IGCOPxxPoMDqVYP/d7k666/7EsnHd7o9w6yCbNm0ydrvdrF271nzwwQcmOzvb9OrVyxw7dswYY8yCBQvM/fff76v/97//3URERJjvf//75oMPPjBr1641drvd/Pa3vw1UEzqllvbrs88+a7Zs2WL+9re/mcOHD5sFCxYYSeaVV14JVBM6pfLycnPgwAFz4MABI8msWLHCHDhwwBw/ftwYw/baHE1tm13Zww8/bHr37m127NhhioqKfJ/KyspAh2aJYHra+R//+EcTGhpqfvKTn5ijR4+a3/zmNyYiIsJs2LAh0KF1GU3tH9Fy3W2f0pEWLlxodu7caQoLC837779vHn/8cdOjRw+Tl5cX6NA6nWD+3a7VHfZf3WF/0pHjussm38YY84tf/MIkJiaasLAwc/311/s98n769Olm7NixfvV37Nhhhg0bZsLCwszAgQPNmjVrOjjirqEl/fr000+bq6++2oSHh5s+ffqY0aNHmzfffDMAUXduta9ku/Qzffp0Ywzba3M1tm12ZfVtG5LMCy+8EOjQLBFMybcxxrzxxhsmJSXFOBwO8+Uvf9k8//zzgQ6pS2lq/4iW6277lI70ne98x/c7dMUVV5jx48eTeDciWH+3a3WH/Vd32J905Li2GfN/T3ECAAAAAACW6JL3fAMAAAAA0JWQfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/nuxnbv3i2Xy6XPPvvMr3zgwIGaOHFiu36XzWaTy+Vq13UC3U1DY7Yz+vjjj+VyuXTw4MFAhwIAANApkHx3Y7t379aSJUu6xIE8gK41Zj/++GMtWbKE5BsAAOD/kHwDQDdWWVkZ6BAAAAC6BZLvbsrlcunf//3fJUlJSUmy2Wyy2WzasWOHr85bb72l66+/Xj179tSXv/xl/frXv/Zbxz//+U/Nnj1bX/nKV3TZZZepX79+uuWWW/Tee+91ZFOAbqGxMbt582ZlZmYqLi5OPXv21DXXXKMFCxbo3LlzfuuYMWOGLrvsMh06dEiZmZmKjIzU+PHjJUmfffaZZs6cqejoaF122WW644479Pe//73eW0aOHj2qadOmqV+/fnI4HLrmmmv0i1/8wjd/x44duuGGGyRJDzzwgC9Wbj0BAADdWWigA0BgPPjgg/r000+1atUqvfrqq4qLi5MkfeUrX5Ek/fnPf9bcuXO1YMECxcbG6le/+pVmzpypL33pS7r55pslSZ9++qkkafHixXI6naqoqNCWLVuUnp6ut99+W+np6QFpGxCMGhuzP//5z3X77bcrOztbvXr10l//+lc9/fTT+uMf/6h33nnHbz1VVVW68847NWvWLC1YsEAXLlxQTU2NJk2apP3798vlcun666/Xnj17dNttt9WJ44MPPlBaWpoGDBigZ555Rk6nU9u2bdNjjz2m06dPa/Hixbr++uv1wgsv6IEHHtAPf/hD3XHHHZKk/v37W99RAAAAnRTJdzfVv39/DRgwQJI0bNgwDRw40G/+6dOn9b//+7++OjfffLPefvttbdy40Zd8Dx48WM8995xvmerqak2YMEHHjh3Tz3/+c5JvoB01NmZ/+MMf+v5tjNFNN92ka665RmPHjtX777+v6667zjff6/XqRz/6kR544AFf2datW7Vr1y6tWbNGDz30kCQpIyNDYWFhWrhwoV8cOTk5ioyM1K5duxQVFeWr6/F49NRTT+mxxx5Tnz59lJKSIkm6+uqrNXLkyPbtDAAAgC6Iy85Rr69+9au+A31JCg8P16BBg3T8+HG/er/85S91/fXXKzw8XKGhobLb7Xr77bf1l7/8paNDBrqtv//975o2bZqcTqdCQkJkt9s1duxYSap3LN59991+0/n5+ZKkqVOn+pXfd999ftOff/653n77bd11112KiIjQhQsXfJ/bb79dn3/+ufbu3dueTQMAAAgaJN+oV9++feuUORwOnT9/3je9YsUKPfzwwxoxYoReeeUV7d27V/v27dNtt93mVw+AdSoqKjRmzBj94Q9/0NKlS7Vjxw7t27dPr776qiTVGYsRERG+M9a1zpw5o9DQUEVHR/uVx8bG1ql34cIFrVq1Sna73e9z++23S7p41QwAAADq4rJztNqGDRuUnp6uNWvW+JWXl5cHKCKg+3nnnXf08ccfa8eOHb6z3ZIafB2ZzWarU9a3b19duHBBn376qV8CXlxc7FevT58+CgkJ0f33369HHnmk3vUnJSW1ohUAAADBj+S7G3M4HJLqnhlrLpvN5ltHrffff1979uxRQkJCm+MD4K++MVubTF86Fv/zP/+z2esdO3asli9frs2bN+vhhx/2lW/atMmvXkREhMaNG6cDBw7ouuuuU1hYWItiBQAA6M5IvruxIUOGSJJ+9rOfafr06bLb7Ro8eHCzl584caKefPJJLV68WGPHjtWHH36oH//4x0pKStKFCxesChvotuobs9ddd5369Omjhx56SIsXL5bdbtdvfvMb/fnPf272em+77TbddNNNmjt3rsrKypSamqo9e/boxRdflCT16PGvO5R+9rOfafTo0RozZowefvhhDRw4UOXl5froo4/0xhtv+J6ufvXVV6tnz576zW9+o2uuuUaXXXaZ4uPjFR8f3449AgAA0HVwz3c3lp6eroULF+qNN97Q6NGjdcMNN6igoKDZyy9atEhz587V2rVrdccdd+hXv/qVfvnLX2r06NEWRg10X/WN2cLCQr355puKiIjQt771LX3nO9/RZZddps2bNzd7vT169NAbb7yhb3zjG3rqqaf0ta99Te+99542bNggSbr88st9db/yla/oT3/6k1JSUvTDH/5QmZmZmjlzpn7729/63hkuXTxL/utf/1pnzpxRZmambrjhBj3//PPt1hcAAABdjc0YYwIdBACg89m4caO++c1v6n//93+VlpYW6HAAAAC6NJJvAIBefvll/eMf/9CQIUPUo0cP7d27Vz/96U81bNgw36vIAAAA0Hrc8w0AUGRkpDZt2qSlS5fq3LlziouL04wZM7R06dJAhwYAABAUOPMNAAAAAIDFeOAaAAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIt1yaed19TU6OOPP1ZkZKRsNlugwwE6hDFG5eXlio+PV48ewfl3M8Y2uqPuMLYBAEAXTb4//vhjJSQkBDoMICBOnjyp/v37BzoMSzC20Z0F89gGAABdNPmOjIyUdPFAJSoqqt46Xq9XeXl5yszMlN1u78jwghr9ap2m+rasrEwJCQm+7T8YMbYDh361RnP6tTuMbQAA0EWT79rLUaOioho9QI+IiFBUVBQHku2IfrVOc/s2mC/HZmwHDv1qjZb0azCPbQAAwAPXAAAAAACwHMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuRfAMAAAAAYLEu+aoxBF6Ka5s81a1/Lc6xp+5ox2jQHbENAgAAoCvhzDcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+Qag3Nxc3XDDDYqMjFS/fv00efJkffjhh351jDFyuVyKj49Xz549lZ6eriNHjvjV8Xg8mjNnjmJiYtSrVy/deeedOnXqVEc2BQAAAOiUSL4BKD8/X4888oj27t0rt9utCxcuKDMzU+fOnfPVWb58uVasWKHVq1dr3759cjqdysjIUHl5ua9Odna2tmzZok2bNmnXrl2qqKjQxIkTVV1dHYhmAQAAAJ1GaKADABB4b731lt/0Cy+8oH79+qmgoEA333yzjDFauXKlFi1apClTpkiS1q9fr9jYWG3cuFGzZs3S2bNntXbtWr300ku69dZbJUkbNmxQQkKCtm/frgkTJnR4uwAAAIDOgjPfAOo4e/asJCk6OlqSVFhYqOLiYmVmZvrqOBwOjR07Vrt375YkFRQUyOv1+tWJj49XSkqKrw4AAADQXbX4zPfOnTv105/+VAUFBSoqKtKWLVs0efJk3/wZM2Zo/fr1fsuMGDFCe/fu9U17PB7NmzdPL7/8ss6fP6/x48frueeeU//+/VvfEgDtwhijnJwcjR49WikpKZKk4uJiSVJsbKxf3djYWB0/ftxXJywsTH369KlTp3b5S3k8Hnk8Ht90WVmZJMnr9crr9da7TG25o4dpadPqXQ8uqu0P+qV9Nadf6XMAALqHFiff586d09ChQ/XAAw/o7rvvrrfObbfdphdeeME3HRYW5jc/Oztbb7zxhjZt2qS+fftq7ty5mjhxogoKChQSEtLSkAC0o0cffVTvv/++du3aVWeezWbzmzbG1Cm7VGN1cnNztWTJkjrleXl5ioiIaHS9Tw6vaXR+U7Zu3dqm5YOV2+0OdAhBqbF+rays7MBIAABAoLQ4+c7KylJWVlajdRwOh5xOZ73zuC8U6LzmzJmj119/XTt37vS7EqV2PBcXFysuLs5XXlJS4jsb7nQ6VVVVpdLSUr+z3yUlJUpLS6v3+xYuXKicnBzfdFlZmRISEpSZmamoqKh6l/F6vXK73Xpifw95ahpP/Btz2MW+5otq+zUjI0N2uz3Q4QSN5vRr7RUfAAAguFnywLUdO3aoX79+uvzyyzV27Fj95Cc/Ub9+/SQ1fV8oyTfQ8YwxmjNnjrZs2aIdO3YoKSnJb35SUpKcTqfcbreGDRsmSaqqqlJ+fr6efvppSVJqaqrsdrvcbremTp0qSSoqKtLhw4e1fPnyer/X4XDI4XDUKbfb7U0mgJ4amzzVrU++STDr15y+R8s11q/0NwAA3UO7J99ZWVm65557lJiYqMLCQj3xxBO65ZZbVFBQIIfD0eH3hXIvXfviflvrNLXNWtlnjzzyiDZu3Kjf/e53ioyM9I3F3r17q2fPnrLZbMrOztayZcuUnJys5ORkLVu2TBEREZo2bZqv7syZMzV37lz17dtX0dHRmjdvnoYMGeK7ygUAAADorto9+b733nt9/05JSdHw4cOVmJioN9980/eKovpYdV8o9y9ag/ttrdPQNmvlfaFr1qyRJKWnp/uVv/DCC5oxY4Ykaf78+Tp//rxmz56t0tJSjRgxQnl5eYqMjPTVf/bZZxUaGqqpU6f6Hqa4bt06nuUAAACAbs/y93zHxcUpMTFRR48eldTx94Vy/2L74n5b6zS1zVp5X6gxTV/JYLPZ5HK55HK5GqwTHh6uVatWadWqVe0YHQAAAND1WZ58nzlzRidPnvQ9pKmj7wvl/kVrcL+tdRraZukzAAAAoOtqcfJdUVGhjz76yDddWFiogwcPKjo6WtHR0XK5XLr77rsVFxenY8eO6fHHH1dMTIzuuusuSdwXCgAAAADoflqcfO/fv1/jxo3zTddeDj59+nStWbNGhw4d0osvvqjPPvtMcXFxGjdunDZv3sx9oQAAAACAbqvFyXd6enqj94du27atyXVwXygAAAAAoDvpEegAAAAAAAAIdiTfAAAAAABYjOQbAAAAAACLkXwDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbAAAAAACLkXwDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbAAAAAACLkXwDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbgHbu3KlJkyYpPj5eNptNr732mt/8GTNmyGaz+X1GjhzpV8fj8WjOnDmKiYlRr169dOedd+rUqVMd2AoAAACg8yL5BqBz585p6NChWr16dYN1brvtNhUVFfk+W7du9ZufnZ2tLVu2aNOmTdq1a5cqKio0ceJEVVdXWx0+AAAA0OmFBjoAAIGXlZWlrKysRus4HA45nc565509e1Zr167VSy+9pFtvvVWStGHDBiUkJGj79u2aMGFCu8cMAAAAdCWc+QbQLDt27FC/fv00aNAgffe731VJSYlvXkFBgbxerzIzM31l8fHxSklJ0e7duwMRLgAAANCpcOYbQJOysrJ0zz33KDExUYWFhXriiSd0yy23qKCgQA6HQ8XFxQoLC1OfPn38louNjVVxcXGD6/V4PPJ4PL7psrIySZLX65XX6613mdpyRw/TpjY1tP7uqrY/6Jf21Zx+pc8BAOgeSL6BdjBwwZttXocjxGj5je0QjAXuvfde379TUlI0fPhwJSYm6s0339SUKVMaXM4YI5vN1uD83NxcLVmypE55Xl6eIiIiGo3pyeE1zYi8YZfes46L3G53oEMISo31a2VlZQdGAgAAAoXkG0CLxcXFKTExUUePHpUkOZ1OVVVVqbS01O/sd0lJidLS0hpcz8KFC5WTk+ObLisrU0JCgjIzMxUVFVXvMl6vV263W0/s7yFPTcOJfVMOu7gP/Ytq+zUjI0N2uz3Q4QSN5vRr7RUfAAAguJF8A2ixM2fO6OTJk4qLi5Mkpaamym63y+12a+rUqZKkoqIiHT58WMuXL29wPQ6HQw6Ho0653W5vMgH01NjkqW598k2CWb/m9D1arrF+pb8BAOgeSL4BqKKiQh999JFvurCwUAcPHlR0dLSio6Plcrl09913Ky4uTseOHdPjjz+umJgY3XXXXZKk3r17a+bMmZo7d6769u2r6OhozZs3T0OGDPE9/RwAAADozki+AWj//v0aN26cb7r2UvDp06drzZo1OnTokF588UV99tlniouL07hx47R582ZFRkb6lnn22WcVGhqqqVOn6vz58xo/frzWrVunkJCQDm8PAAAA0NmQfANQenq6jGn46eHbtm1rch3h4eFatWqVVq1a1Z6hAQAAAEGB93wDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYi1Ovnfu3KlJkyYpPj5eNptNr732mt98Y4xcLpfi4+PVs2dPpaen68iRI351PB6P5syZo5iYGPXq1Ut33nmnTp061aaGAAAAAADQWbU4+T537pyGDh2q1atX1zt/+fLlWrFihVavXq19+/bJ6XQqIyND5eXlvjrZ2dnasmWLNm3apF27dqmiokITJ05UdXV161sCAAAAAEAnFdrSBbKyspSVlVXvPGOMVq5cqUWLFmnKlCmSpPXr1ys2NlYbN27UrFmzdPbsWa1du1YvvfSSbr31VknShg0blJCQoO3bt2vChAltaA4AAAAAAJ1Pi5PvxhQWFqq4uFiZmZm+MofDobFjx2r37t2aNWuWCgoK5PV6/erEx8crJSVFu3fvrjf59ng88ng8vumysjJJktfrldfrrTeW2vKG5qN1avvT0cO0y3qChSOkbf0h/atPm9qmAQAAAHQ97Zp8FxcXS5JiY2P9ymNjY3X8+HFfnbCwMPXp06dOndrlL5Wbm6slS5bUKc/Ly1NERESjMbnd7mbHj+Z7cnhNm5bfunVrO0XSOSy/sf3W1dA2W1lZ2X5fAgAAAKBDtWvyXctms/lNG2PqlF2qsToLFy5UTk6Ob7qsrEwJCQnKzMxUVFRUvct4vV653W5lZGTIbre3sAVoSG2/PrG/hzw1jf+fNuawK7huL0hxbWvzOhw9jJ4cXtPgNlt7xQcAAACArqddk2+n0ynp4tntuLg4X3lJSYnvbLjT6VRVVZVKS0v9zn6XlJQoLS2t3vU6HA45HI465Xa7vcnEujl10HKeGps81a1PvoPt/6QtfXGphrbZYOszAAAAoDtp1/d8JyUlyel0+l02W1VVpfz8fF9inZqaKrvd7lenqKhIhw8fbjD5BgAAAACgK2vxme+Kigp99NFHvunCwkIdPHhQ0dHRGjBggLKzs7Vs2TIlJycrOTlZy5YtU0REhKZNmyZJ6t27t2bOnKm5c+eqb9++io6O1rx58zRkyBDf088BAAAAAAgmLU6+9+/fr3Hjxvmma+/Fnj59utatW6f58+fr/Pnzmj17tkpLSzVixAjl5eUpMjLSt8yzzz6r0NBQTZ06VefPn9f48eO1bt06hYSEtEOTAAAAAADoXFqcfKenp8uYhl+rZLPZ5HK55HK5GqwTHh6uVatWadWqVS39egAAAAAAupx2vecbAAAAAADURfINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wC0c+dOTZo0SfHx8bLZbHrttdf85htj5HK5FB8fr549eyo9PV1Hjhzxq+PxeDRnzhzFxMSoV69euvPOO3Xq1KkObAUAAADQeZF8A9C5c+c0dOhQrV69ut75y5cv14oVK7R69Wrt27dPTqdTGRkZKi8v99XJzs7Wli1btGnTJu3atUsVFRWaOHGiqqurO6oZAAAAQKcVGugAAAReVlaWsrKy6p1njNHKlSu1aNEiTZkyRZK0fv16xcbGauPGjZo1a5bOnj2rtWvX6qWXXtKtt94qSdqwYYMSEhK0fft2TZgwocPaAgAAAHRGnPkG0KjCwkIVFxcrMzPTV+ZwODR27Fjt3r1bklRQUCCv1+tXJz4+XikpKb46AAAAQHfGmW8AjSouLpYkxcbG+pXHxsbq+PHjvjphYWHq06dPnTq1y9fH4/HI4/H4psvKyiRJXq9XXq+33mVqyx09TAtbUv96cFFtf9Av7as5/UqfAwDQPZB8A2gWm83mN22MqVN2qabq5ObmasmSJXXK8/LyFBER0ei6nxxe0+j8pmzdurVNywcrt9sd6BCCUmP9WllZ2YGRAACAQCH5BtAop9Mp6eLZ7bi4OF95SUmJ72y40+lUVVWVSktL/c5+l5SUKC0trcF1L1y4UDk5Ob7psrIyJSQkKDMzU1FRUfUu4/V65Xa79cT+HvLUNJ78N+awi/vQv6i2XzMyMmS32wMdTtBoTr/WXvEBAACCG8k3gEYlJSXJ6XTK7XZr2LBhkqSqqirl5+fr6aefliSlpqbKbrfL7XZr6tSpkqSioiIdPnxYy5cvb3DdDodDDoejTrndbm8yAfTU2OSpbn3yTYJZv+b0PVqusX6lvwEA6B5IvgGooqJCH330kW+6sLBQBw8eVHR0tAYMGKDs7GwtW7ZMycnJSk5O1rJlyxQREaFp06ZJknr37q2ZM2dq7ty56tu3r6KjozVv3jwNGTLE9/RzAAAAoDsj+Qag/fv3a9y4cb7p2kvBp0+frnXr1mn+/Pk6f/68Zs+erdLSUo0YMUJ5eXmKjIz0LfPss88qNDRUU6dO1fnz5zV+/HitW7dOISEhHd4eAAAAoLMh+Qag9PR0GdPw08NtNptcLpdcLleDdcLDw7Vq1SqtWrXKgggBAACAro33fAMAAAAAYDGSbwAAAAAALEbyDQAAAACAxUi+AQAAAACwGMk3AAAAAAAWI/kGAAAAAMBiJN8AAAAAAFiM5BsAAAAAAIuFBjoAAAA6q4EL3mzT8o4Qo+U3tlMwAACgS+PMNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbAAAAAACLkXwDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFmv35Nvlcslms/l9nE6nb74xRi6XS/Hx8erZs6fS09N15MiR9g4DAAAAAIBOw5Iz39dee62Kiop8n0OHDvnmLV++XCtWrNDq1au1b98+OZ1OZWRkqLy83IpQAAAAAAAIOEuS79DQUDmdTt/niiuukHTxrPfKlSu1aNEiTZkyRSkpKVq/fr0qKyu1ceNGK0IBAAAAACDgLEm+jx49qvj4eCUlJekb3/iG/v73v0uSCgsLVVxcrMzMTF9dh8OhsWPHavfu3VaEAgAAAABAwIW29wpHjBihF198UYMGDdInn3yipUuXKi0tTUeOHFFxcbEkKTY21m+Z2NhYHT9+vMF1ejweeTwe33RZWZkkyev1yuv11rtMbXlD89E6tf3p6GHaZT3BwhHStv6Q/tWnTW3TAAAAALqedk++s7KyfP8eMmSIRo0apauvvlrr16/XyJEjJUk2m81vGWNMnbIvys3N1ZIlS+qU5+XlKSIiotF43G53S8JHMz05vKZNy2/durWdIukclt/YfutqaJutrKxsvy8BAAAA0KHaPfm+VK9evTRkyBAdPXpUkydPliQVFxcrLi7OV6ekpKTO2fAvWrhwoXJycnzTZWVlSkhIUGZmpqKioupdxuv1yu12KyMjQ3a7vX0aA1+/PrG/hzw1Df/BpCmHXRPaMarAS3Fta/M6HD2Mnhxe0+A2W3vFBwAAAICux/Lk2+Px6C9/+YvGjBmjpKQkOZ1Oud1uDRs2TJJUVVWl/Px8Pf300w2uw+FwyOFw1Cm32+1NJtbNqYOW89TY5KluffIdbP8nbemLSzW0zQZbnwEAAADdSbsn3/PmzdOkSZM0YMAAlZSUaOnSpSorK9P06dNls9mUnZ2tZcuWKTk5WcnJyVq2bJkiIiI0bdq09g4FAAAAAIBOod2T71OnTum+++7T6dOndcUVV2jkyJHau3evEhMTJUnz58/X+fPnNXv2bJWWlmrEiBHKy8tTZGRke4cCAAAAAECn0O7J96ZNmxqdb7PZ5HK55HK52vurAQAAAADolCx5zzcAAAAAAPgXkm8AAAAAACxG8g2gWVwul2w2m9/H6XT65htj5HK5FB8fr549eyo9PV1HjhwJYMQAAABA50HyDaDZrr32WhUVFfk+hw4d8s1bvny5VqxYodWrV2vfvn1yOp3KyMhQeXl5ACMGAAAAOgeSbwDNFhoaKqfT6ftcccUVki6e9V65cqUWLVqkKVOmKCUlRevXr1dlZaU2btwY4KgBAACAwGv3p50DCF5Hjx5VfHy8HA6HRowYoWXLlumqq65SYWGhiouLlZmZ6avrcDg0duxY7d69W7Nmzap3fR6PRx6PxzddVlYmSfJ6vfJ6vfUuU1vu6GHa1JaG1t9d1fYH/eLPEdK27ax2O22sX+lzAAC6B5JvAM0yYsQIvfjiixo0aJA++eQTLV26VGlpaTpy5IiKi4slSbGxsX7LxMbG6vjx4w2uMzc3V0uWLKlTnpeXp4iIiEbjeXJ4TSta8S9bt25t0/LByu12BzqETmX5je2znsb6tbKysn2+BAAAdGok3wCaJSsry/fvIUOGaNSoUbr66qu1fv16jRw5UpJks9n8ljHG1Cn7ooULFyonJ8c3XVZWpoSEBGVmZioqKqreZbxer9xut57Y30OemobX3ZTDrgmtXjYY1fZrRkaG7HZ7oMPpNFJc29q0vKOH0ZPDaxrt19orPgAAQHAj+QbQKr169dKQIUN09OhRTZ48WZJUXFysuLg4X52SkpI6Z8O/yOFwyOFw1Cm32+1NJoCeGps81a1Pvkkw69ecvu9O2rKNfVFj/Up/AwDQPfDANQCt4vF49Je//EVxcXFKSkqS0+n0u7S2qqpK+fn5SktLC2CUAAAAQOfAmW8AzTJv3jxNmjRJAwYMUElJiZYuXaqysjJNnz5dNptN2dnZWrZsmZKTk5WcnKxly5YpIiJC06ZNC3ToAAAAQMCRfANollOnTum+++7T6dOndcUVV2jkyJHau3evEhMTJUnz58/X+fPnNXv2bJWWlmrEiBHKy8tTZGRkgCMHAAAAAo/kG0CzbNq0qdH5NptNLpdLLperYwICAAAAuhDu+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALBYaKADsFqKa5s81bZWL3/sqTvaMRoAAAAAQHfEmW8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYjOQbAAAAAACLkXwDAAAAAGAxkm8AAAAAACxG8g0AAAAAgMVIvgEAAAAAsBjJNwAAAAAAFiP5BgAAAADAYiTfAAAAAABYLKDJ93PPPaekpCSFh4crNTVV7733XiDDAdAOGNcAAABAXQFLvjdv3qzs7GwtWrRIBw4c0JgxY5SVlaUTJ04EKiQAbcS4BgAAAOoXsOR7xYoVmjlzph588EFdc801WrlypRISErRmzZpAhQSgjRjXAAAAQP1CA/GlVVVVKigo0IIFC/zKMzMztXv37jr1PR6PPB6Pb/rs2bOSpE8//VRer7fe7/B6vaqsrFSot4eqa2ytjvXMmTOtXjYY0a/1C71wru3rqDGqrKzRmTNnZLfb68wvLy+XJBlj2vxdVmjpuJYY251Jbb82tP11V20d202Na6nzj20AANA+ApJ8nz59WtXV1YqNjfUrj42NVXFxcZ36ubm5WrJkSZ3ypKQky2KsFfOM5V/RLdGv9ZvWjDrl5eXq3bu35bG0VEvHtcTYRvfQnHEtdd6xDQAA2kdAku9aNpv/WStjTJ0ySVq4cKFycnJ80zU1Nfr000/Vt2/feutLUllZmRISEnTy5ElFRUW1b+DdGP1qnab61hij8vJyxcfHByC65mvuuJYY250J/WqN5vRrVxnbAACgbQKSfMfExCgkJKTO2bCSkpI6Z80kyeFwyOFw+JVdfvnlzfquqKgoDiQtQL9ap7G+7cxnxVo6riXGdmdEv1qjqX7tzGMbAAC0j4A8cC0sLEypqalyu91+5W63W2lpaYEICUAbMa4BAACAhgXssvOcnBzdf//9Gj58uEaNGqXnn39eJ06c0EMPPRSokAC0EeMaAAAAqF/Aku97771XZ86c0Y9//GMVFRUpJSVFW7duVWJiYrus3+FwaPHixXUuaUXb0K/WCYa+tXpcS8HRT50R/WoN+hUAANSyGd5tAgAAAACApQJyzzcAAAAAAN0JyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWCwok+/nnntOSUlJCg8PV2pqqt57771Ah9Tl7dy5U5MmTVJ8fLxsNptee+21QIcUFHJzc3XDDTcoMjJS/fr10+TJk/Xhhx8GOqyAa+kYzs/PV2pqqsLDw3XVVVfpl7/8ZQdF2rW0pF937Nghm81W5/PXv/61AyPu/Fqzb2R7BQCgewq65Hvz5s3Kzs7WokWLdODAAY0ZM0ZZWVk6ceJEoEPr0s6dO6ehQ4dq9erVgQ4lqOTn5+uRRx7R3r175Xa7deHCBWVmZurcuXOBDi1gWjqGCwsLdfvtt2vMmDE6cOCAHn/8cT322GN65ZVXOjjyzq21+8YPP/xQRUVFvk9ycnIHRdw1tHTfyPYKAED3FXSvGhsxYoSuv/56rVmzxld2zTXXaPLkycrNzQ1gZMHDZrNpy5Ytmjx5cqBDCTr//Oc/1a9fP+Xn5+vmm28OdDgB0dIx/IMf/ECvv/66/vKXv/jKHnroIf35z3/Wnj17OiTmrqCl/bpjxw6NGzdOpaWluvzyyzsw0q6rOftGtlcAALqvoDrzXVVVpYKCAmVmZvqVZ2Zmavfu3QGKCmi+s2fPSpKio6MDHElgtGYM79mzp079CRMmaP/+/fJ6vZbF2pW0Zd84bNgwxcXFafz48Xr33XetDLNbYHsFAKD7Cqrk+/Tp06qurlZsbKxfeWxsrIqLiwMUFdA8xhjl5ORo9OjRSklJCXQ4AdGaMVxcXFxv/QsXLuj06dOWxdqVtKZf4+Li9Pzzz+uVV17Rq6++qsGDB2v8+PHauXNnR4QctNheAQDovkIDHYAVbDab37Qxpk4Z0Nk8+uijev/997Vr165AhxJwLR3D9dWvr7y7a0m/Dh48WIMHD/ZNjxo1SidPntR//Md/dNtbItoL2ysAAN1TUJ35jomJUUhISJ0zOSUlJXXONACdyZw5c/T666/r3XffVf/+/QMdTsC0Zgw7nc5664eGhqpv376WxdqVtNe+ceTIkTp69Gh7h9etsL0CANB9BVXyHRYWptTUVLndbr9yt9uttLS0AEUFNMwYo0cffVSvvvqq3nnnHSUlJQU6pIBqzRgeNWpUnfp5eXkaPny47Ha7ZbF2Je21bzxw4IDi4uLaO7xuhe0VAIDuK+guO8/JydH999+v4cOHa9SoUXr++ed14sQJPfTQQ4EOrUurqKjQRx995JsuLCzUwYMHFR0drQEDBgQwsq7tkUce0caNG/W73/1OkZGRvjNivXv3Vs+ePQMcXWA0NYYXLlyof/zjH3rxxRclXXxS9OrVq5WTk6Pvfve72rNnj9auXauXX345kM3odFrarytXrtTAgQN17bXXqqqqShs2bNArr7zCK7Eu0dS+ke0VAAD4mCD0i1/8wiQmJpqwsDBz/fXXm/z8/ECH1OW9++67RlKdz/Tp0wMdWpdWX59KMi+88EKgQwuoxsbw9OnTzdixY/3q79ixwwwbNsyEhYWZgQMHmjVr1nRwxF1DS/r16aefNldffbUJDw83ffr0MaNHjzZvvvlmAKLu3JraN7K9AgCAWkH3nm8AAAAAADqboLrnGwAAAACAzojkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAsRvINAAAAAIDFSL4BAAAAALAYyTcAAAAAABYj+QYAAAAAwGIk3wAAAAAAWIzkGwAAAAAAi5F8AwAAAABgMZJvAAAAAAAs9v8Dp228ptwfQusAAAAASUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<Figure size 1200x1200 with 16 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"data.hist(figsize = (12, 12))\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"id": "2acc25d4",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"pd.crosstab(data.age,data.target).plot(kind=\"bar\",figsize=(20,6))\n",
|
|
"plt.title('Heart Disease Frequency for Ages')\n",
|
|
"plt.xlabel('Age')\n",
|
|
"plt.ylabel('Frequency')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "e1daebc8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 1000x1000 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,10))\n",
|
|
"sns.heatmap(data.corr(),annot=True,fmt='.1f')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"id": "300c817b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 1000x500 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"age_unique=sorted(data.age.unique())\n",
|
|
"age_thalach_values=data.groupby('age')['thalach'].count().values\n",
|
|
"mean_thalach=[]\n",
|
|
"for i,age in enumerate(age_unique):\n",
|
|
" mean_thalach.append(sum(data[data['age']==age].thalach)/age_thalach_values[i])\n",
|
|
"plt.figure(figsize=(10,5))\n",
|
|
"sns.pointplot(x=age_unique,y=mean_thalach,color='red')\n",
|
|
"plt.xlabel('Age',fontsize = 15,color='blue')\n",
|
|
"plt.xticks(rotation=45)\n",
|
|
"plt.ylabel('Thalach',fontsize = 15,color='blue')\n",
|
|
"plt.title('Age vs Thalach',fontsize = 15,color='blue')\n",
|
|
"plt.grid()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "000dd4c8",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 训练集和测试集的确定"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"id": "b9023a40",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[ 63. 1. 1. 145. 233. 1. 2. 150. 0. 2.3 3. 0.\n",
|
|
" 0. ]\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"C:\\Users\\Woody You\\AppData\\Local\\Temp\\ipykernel_3296\\3018256088.py:1: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
|
|
" X = np.array(data.drop(['target'], 1))\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"X = np.array(data.drop(['target'], 1))\n",
|
|
"y = np.array(data['target'])\n",
|
|
"print(X[0])\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"id": "7ba27671",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"mean = X.mean(axis=0)\n",
|
|
"X -= mean\n",
|
|
"std = X.std(axis=0)\n",
|
|
"X /= std"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "339fe741",
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 0.93374091, 0.68955797, -2.11155584, 0.75314677, -0.26520755,\n",
|
|
" 2.41679728, 1.01693302, 0.03015642, -0.70007072, 1.06280008,\n",
|
|
" 2.27801584, -0.72403274, -2.27432285])"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"X[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "afe646dd",
|
|
"metadata": {},
|
|
"source": [
|
|
"### create X and Y datasets for training\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"id": "efeb8aba",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn import model_selection\n",
|
|
"\n",
|
|
"X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y, stratify=y, random_state=42, test_size = 0.2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"id": "52e15676",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"(240, 2)\n",
|
|
"[[1. 0.]\n",
|
|
" [1. 0.]\n",
|
|
" [0. 1.]\n",
|
|
" [0. 1.]\n",
|
|
" [1. 0.]\n",
|
|
" [1. 0.]\n",
|
|
" [1. 0.]\n",
|
|
" [1. 0.]\n",
|
|
" [1. 0.]\n",
|
|
" [1. 0.]]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# convert the data to categorical labels\n",
|
|
"from tensorflow.keras.utils import to_categorical\n",
|
|
"\n",
|
|
"Y_train = to_categorical(y_train, num_classes=None)\n",
|
|
"Y_test = to_categorical(y_test, num_classes=None)\n",
|
|
"print (Y_train.shape)\n",
|
|
"print (Y_train[:10])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"id": "6e10d003",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([ 1.37687219, -1.45020439, -0.12537363, -0.94368839, 6.08797677,\n",
|
|
" -0.41377074, 1.01693302, 0.46655455, -0.70007072, 0.46212418,\n",
|
|
" 0.65701639, -0.72403274, 1.16573332])"
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"X_train[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "f9f9b5c0",
|
|
"metadata": {},
|
|
"source": [
|
|
"## 搭建神经网络"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "c13a534c",
|
|
"metadata": {},
|
|
"source": [
|
|
"现在我们已经完全处理了数据，并将其分成训练和测试数据集，我们可以开始构建一个神经网络来解决这个分类问题。使用keras，我们将定义一个神经网络。由于这是一个分类问题，我们将在网络的最后一层使用softmax激活函数，并在训练阶段使用categorical_crossentropy loss。"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "e753534b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from keras.models import Sequential\n",
|
|
"from keras.layers import Dense\n",
|
|
"from keras.optimizers import Adam\n",
|
|
"from keras.layers import Dropout\n",
|
|
"from keras import regularizers"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "7b69d3b1",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Model: \"sequential_1\"\n",
|
|
"_________________________________________________________________\n",
|
|
" Layer (type) Output Shape Param # \n",
|
|
"=================================================================\n",
|
|
" dense_3 (Dense) (None, 16) 224 \n",
|
|
" \n",
|
|
" dropout_2 (Dropout) (None, 16) 0 \n",
|
|
" \n",
|
|
" dense_4 (Dense) (None, 8) 136 \n",
|
|
" \n",
|
|
" dropout_3 (Dropout) (None, 8) 0 \n",
|
|
" \n",
|
|
" dense_5 (Dense) (None, 2) 18 \n",
|
|
" \n",
|
|
"=================================================================\n",
|
|
"Total params: 378 (1.48 KB)\n",
|
|
"Trainable params: 378 (1.48 KB)\n",
|
|
"Non-trainable params: 0 (0.00 Byte)\n",
|
|
"_________________________________________________________________\n",
|
|
"None\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"np.random.seed(2011)\n",
|
|
"# define a function to build the keras model\n",
|
|
"def create_model():\n",
|
|
" # create model\n",
|
|
" model = Sequential()\n",
|
|
" model.add(Dense(16, input_dim=13, kernel_initializer='normal', kernel_regularizer=regularizers.l2(0.001), activation='relu'))\n",
|
|
" model.add(Dropout(0.25))\n",
|
|
" model.add(Dense(8, kernel_initializer='normal', kernel_regularizer=regularizers.l2(0.001), activation='relu'))\n",
|
|
" model.add(Dropout(0.25))\n",
|
|
" model.add(Dense(2, activation='softmax'))\n",
|
|
" \n",
|
|
" # compile model\n",
|
|
" adam = Adam(learning_rate=0.002)\n",
|
|
" model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])\n",
|
|
" return model\n",
|
|
"model = create_model()\n",
|
|
"\n",
|
|
"print(model.summary())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"id": "ea330fb8",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# convert into binary classification problem - heart disease or no heart disease\n",
|
|
"Y_train_binary = y_train.copy()\n",
|
|
"Y_test_binary = y_test.copy()\n",
|
|
"\n",
|
|
"Y_train_binary[Y_train_binary > 0] = 1\n",
|
|
"Y_test_binary[Y_test_binary > 0] = 1\n",
|
|
"\n",
|
|
"print(Y_train_binary[:20])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"id": "cc8cd466",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Epoch 1/25\n",
|
|
"12/12 [==============================] - 1s 15ms/step - loss: 0.6817 - accuracy: 0.7042 - val_loss: 0.6709 - val_accuracy: 0.7049\n",
|
|
"Epoch 2/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6600 - accuracy: 0.7458 - val_loss: 0.6501 - val_accuracy: 0.7213\n",
|
|
"Epoch 3/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6362 - accuracy: 0.7458 - val_loss: 0.6270 - val_accuracy: 0.7049\n",
|
|
"Epoch 4/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6121 - accuracy: 0.7625 - val_loss: 0.6014 - val_accuracy: 0.7049\n",
|
|
"Epoch 5/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5806 - accuracy: 0.7750 - val_loss: 0.5733 - val_accuracy: 0.7541\n",
|
|
"Epoch 6/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5624 - accuracy: 0.7833 - val_loss: 0.5466 - val_accuracy: 0.7869\n",
|
|
"Epoch 7/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5330 - accuracy: 0.7958 - val_loss: 0.5193 - val_accuracy: 0.7869\n",
|
|
"Epoch 8/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.4999 - accuracy: 0.8208 - val_loss: 0.4929 - val_accuracy: 0.8033\n",
|
|
"Epoch 9/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.4666 - accuracy: 0.8458 - val_loss: 0.4678 - val_accuracy: 0.8361\n",
|
|
"Epoch 10/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.4419 - accuracy: 0.8500 - val_loss: 0.4458 - val_accuracy: 0.8197\n",
|
|
"Epoch 11/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.4197 - accuracy: 0.8542 - val_loss: 0.4279 - val_accuracy: 0.8361\n",
|
|
"Epoch 12/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3953 - accuracy: 0.8583 - val_loss: 0.4124 - val_accuracy: 0.8361\n",
|
|
"Epoch 13/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.3782 - accuracy: 0.8542 - val_loss: 0.4007 - val_accuracy: 0.8361\n",
|
|
"Epoch 14/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.3538 - accuracy: 0.8583 - val_loss: 0.3909 - val_accuracy: 0.8361\n",
|
|
"Epoch 15/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3518 - accuracy: 0.8667 - val_loss: 0.3844 - val_accuracy: 0.8361\n",
|
|
"Epoch 16/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3248 - accuracy: 0.8792 - val_loss: 0.3796 - val_accuracy: 0.8361\n",
|
|
"Epoch 17/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3369 - accuracy: 0.8500 - val_loss: 0.3775 - val_accuracy: 0.8525\n",
|
|
"Epoch 18/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3270 - accuracy: 0.8792 - val_loss: 0.3766 - val_accuracy: 0.8361\n",
|
|
"Epoch 19/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3103 - accuracy: 0.8708 - val_loss: 0.3775 - val_accuracy: 0.8361\n",
|
|
"Epoch 20/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3119 - accuracy: 0.8625 - val_loss: 0.3779 - val_accuracy: 0.8361\n",
|
|
"Epoch 21/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3013 - accuracy: 0.8708 - val_loss: 0.3797 - val_accuracy: 0.8361\n",
|
|
"Epoch 22/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3062 - accuracy: 0.8792 - val_loss: 0.3835 - val_accuracy: 0.8361\n",
|
|
"Epoch 23/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3025 - accuracy: 0.8750 - val_loss: 0.3854 - val_accuracy: 0.8361\n",
|
|
"Epoch 24/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.3096 - accuracy: 0.8708 - val_loss: 0.3893 - val_accuracy: 0.8361\n",
|
|
"Epoch 25/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.2848 - accuracy: 0.8875 - val_loss: 0.3930 - val_accuracy: 0.8361\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# fit the model to the training data\n",
|
|
"history=model.fit(X_train, Y_train, validation_data=(X_test, Y_test),epochs=25, batch_size=20)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"id": "fa9749d0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import visualkeras"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "3ef7fe3f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<PIL.Image.Image image mode=RGBA size=167x63>"
|
|
]
|
|
},
|
|
"execution_count": 31,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"visualkeras.layered_view(model,legend=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"id": "409644ee",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<IPython.core.display.Image object>"
|
|
]
|
|
},
|
|
"execution_count": 32,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from tensorflow.keras.utils import plot_model\n",
|
|
"\n",
|
|
"model_img_file = 'model.png' \n",
|
|
"tf.keras.utils.plot_model(model, to_file=model_img_file, \n",
|
|
" show_shapes=True, \n",
|
|
" show_layer_activations=True, \n",
|
|
" show_dtype=True, \n",
|
|
" show_layer_names=True )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"id": "940809b9",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"%matplotlib inline\n",
|
|
"# Model accuracy\n",
|
|
"plt.plot(history.history['accuracy'])\n",
|
|
"plt.plot(history.history['val_accuracy'])\n",
|
|
"plt.title('Model Accuracy')\n",
|
|
"plt.ylabel('accuracy')\n",
|
|
"plt.xlabel('epoch')\n",
|
|
"plt.legend(['train', 'test'])\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "31735485",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"id": "b5105466",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Model Losss\n",
|
|
"plt.plot(history.history['loss'])\n",
|
|
"plt.plot(history.history['val_loss'])\n",
|
|
"plt.title('Model Loss')\n",
|
|
"plt.ylabel('loss')\n",
|
|
"plt.xlabel('epoch')\n",
|
|
"plt.legend(['train', 'test'])\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "12f6eab3",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 模型改善 二分类问题"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"id": "295785cb",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# convert into binary classification problem - heart disease or no heart disease\n",
|
|
"Y_train_binary = y_train.copy()\n",
|
|
"Y_test_binary = y_test.copy()\n",
|
|
"\n",
|
|
"Y_train_binary[Y_train_binary > 0] = 1\n",
|
|
"Y_test_binary[Y_test_binary > 0] = 1\n",
|
|
"\n",
|
|
"print(Y_train_binary[:20])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"id": "c9783d15",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Model: \"sequential_2\"\n",
|
|
"_________________________________________________________________\n",
|
|
" Layer (type) Output Shape Param # \n",
|
|
"=================================================================\n",
|
|
" dense_6 (Dense) (None, 16) 224 \n",
|
|
" \n",
|
|
" dropout_4 (Dropout) (None, 16) 0 \n",
|
|
" \n",
|
|
" dense_7 (Dense) (None, 8) 136 \n",
|
|
" \n",
|
|
" dropout_5 (Dropout) (None, 8) 0 \n",
|
|
" \n",
|
|
" dense_8 (Dense) (None, 1) 9 \n",
|
|
" \n",
|
|
"=================================================================\n",
|
|
"Total params: 369 (1.44 KB)\n",
|
|
"Trainable params: 369 (1.44 KB)\n",
|
|
"Non-trainable params: 0 (0.00 Byte)\n",
|
|
"_________________________________________________________________\n",
|
|
"None\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"\n",
|
|
"def create_binary_model():\n",
|
|
" # create model\n",
|
|
" model = Sequential()\n",
|
|
" model.add(Dense(16, input_dim=13, kernel_initializer='normal', kernel_regularizer=regularizers.l2(0.001),activation='relu'))\n",
|
|
" model.add(Dropout(0.25))\n",
|
|
" model.add(Dense(8, kernel_initializer='normal', kernel_regularizer=regularizers.l2(0.001),activation='relu'))\n",
|
|
" model.add(Dropout(0.25))\n",
|
|
" model.add(Dense(1, activation='sigmoid'))\n",
|
|
" adam = Adam(learning_rate=0.002)\n",
|
|
" model.compile(loss='binary_crossentropy', optimizer='rmsprop', metrics=['accuracy'])\n",
|
|
" return model\n",
|
|
"\n",
|
|
"binary_model = create_binary_model()\n",
|
|
"\n",
|
|
"print(binary_model.summary())"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d212cebe",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"id": "85588a5f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Epoch 1/25\n",
|
|
"12/12 [==============================] - 1s 15ms/step - loss: 0.6926 - accuracy: 0.6125 - val_loss: 0.6881 - val_accuracy: 0.8033\n",
|
|
"Epoch 2/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6853 - accuracy: 0.8208 - val_loss: 0.6836 - val_accuracy: 0.7869\n",
|
|
"Epoch 3/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6798 - accuracy: 0.8208 - val_loss: 0.6787 - val_accuracy: 0.8525\n",
|
|
"Epoch 4/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6732 - accuracy: 0.8167 - val_loss: 0.6732 - val_accuracy: 0.8689\n",
|
|
"Epoch 5/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6693 - accuracy: 0.8292 - val_loss: 0.6678 - val_accuracy: 0.8689\n",
|
|
"Epoch 6/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6593 - accuracy: 0.8625 - val_loss: 0.6616 - val_accuracy: 0.8689\n",
|
|
"Epoch 7/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6580 - accuracy: 0.8417 - val_loss: 0.6566 - val_accuracy: 0.8689\n",
|
|
"Epoch 8/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6495 - accuracy: 0.8583 - val_loss: 0.6512 - val_accuracy: 0.8361\n",
|
|
"Epoch 9/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6420 - accuracy: 0.8542 - val_loss: 0.6456 - val_accuracy: 0.8361\n",
|
|
"Epoch 10/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6370 - accuracy: 0.8250 - val_loss: 0.6407 - val_accuracy: 0.8361\n",
|
|
"Epoch 11/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6274 - accuracy: 0.8542 - val_loss: 0.6364 - val_accuracy: 0.8361\n",
|
|
"Epoch 12/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.6251 - accuracy: 0.8458 - val_loss: 0.6328 - val_accuracy: 0.8197\n",
|
|
"Epoch 13/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6224 - accuracy: 0.8500 - val_loss: 0.6296 - val_accuracy: 0.8361\n",
|
|
"Epoch 14/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6173 - accuracy: 0.8542 - val_loss: 0.6261 - val_accuracy: 0.8525\n",
|
|
"Epoch 15/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.6193 - accuracy: 0.8542 - val_loss: 0.6236 - val_accuracy: 0.8525\n",
|
|
"Epoch 16/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.5959 - accuracy: 0.8625 - val_loss: 0.6205 - val_accuracy: 0.8525\n",
|
|
"Epoch 17/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.5980 - accuracy: 0.8583 - val_loss: 0.6181 - val_accuracy: 0.8525\n",
|
|
"Epoch 18/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5999 - accuracy: 0.8625 - val_loss: 0.6163 - val_accuracy: 0.8525\n",
|
|
"Epoch 19/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5985 - accuracy: 0.8667 - val_loss: 0.6144 - val_accuracy: 0.8525\n",
|
|
"Epoch 20/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5946 - accuracy: 0.8708 - val_loss: 0.6120 - val_accuracy: 0.8525\n",
|
|
"Epoch 21/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5958 - accuracy: 0.8750 - val_loss: 0.6100 - val_accuracy: 0.8525\n",
|
|
"Epoch 22/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.5868 - accuracy: 0.8458 - val_loss: 0.6086 - val_accuracy: 0.8525\n",
|
|
"Epoch 23/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5809 - accuracy: 0.8750 - val_loss: 0.6069 - val_accuracy: 0.8525\n",
|
|
"Epoch 24/25\n",
|
|
"12/12 [==============================] - 0s 4ms/step - loss: 0.5785 - accuracy: 0.8833 - val_loss: 0.6051 - val_accuracy: 0.8525\n",
|
|
"Epoch 25/25\n",
|
|
"12/12 [==============================] - 0s 5ms/step - loss: 0.5896 - accuracy: 0.8625 - val_loss: 0.6036 - val_accuracy: 0.8525\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# fit the binary model on the training data\n",
|
|
"history=binary_model.fit(X_train, Y_train_binary, validation_data=(X_test, Y_test_binary), epochs=25, batch_size=20)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"id": "68f1761f",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<IPython.core.display.Image object>"
|
|
]
|
|
},
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"model_img_file = 'model2.png' \n",
|
|
"tf.keras.utils.plot_model(binary_model, to_file=model_img_file, \n",
|
|
" show_shapes=True, \n",
|
|
" show_layer_activations=True, \n",
|
|
" show_dtype=True, \n",
|
|
" show_layer_names=True )"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"id": "05d31977",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"%matplotlib inline\n",
|
|
"# Model accuracy\n",
|
|
"plt.plot(history.history['accuracy'])\n",
|
|
"plt.plot(history.history['val_accuracy'])\n",
|
|
"plt.title('Model Accuracy')\n",
|
|
"plt.ylabel('accuracy')\n",
|
|
"plt.xlabel('epoch')\n",
|
|
"plt.legend(['train', 'test'])\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"id": "1765fd97",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.plot(history.history['loss'])\n",
|
|
"plt.plot(history.history['val_loss'])\n",
|
|
"plt.title('Model Loss')\n",
|
|
"plt.ylabel('loss')\n",
|
|
"plt.xlabel('epoch')\n",
|
|
"plt.legend(['train', 'test'])\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"id": "d73e74ee",
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2/2 [==============================] - 0s 2ms/step\n",
|
|
"Results for ANN\n",
|
|
"0.8360655737704918\n",
|
|
" precision recall f1-score support\n",
|
|
"\n",
|
|
" 0 0.87 0.91 0.89 44\n",
|
|
" 1 0.73 0.65 0.69 17\n",
|
|
"\n",
|
|
" accuracy 0.84 61\n",
|
|
" macro avg 0.80 0.78 0.79 61\n",
|
|
"weighted avg 0.83 0.84 0.83 61\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.metrics import classification_report, accuracy_score\n",
|
|
"\n",
|
|
"categorical_pred = np.argmax(model.predict(X_test), axis=1)\n",
|
|
"\n",
|
|
"print('Results for ANN')\n",
|
|
"print(accuracy_score(y_test, categorical_pred))\n",
|
|
"print(classification_report(y_test, categorical_pred))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"id": "c7707d8c",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2/2 [==============================] - 0s 2ms/step\n",
|
|
"Results for Binary Model\n",
|
|
"0.8524590163934426\n",
|
|
" precision recall f1-score support\n",
|
|
"\n",
|
|
" 0 0.89 0.91 0.90 44\n",
|
|
" 1 0.75 0.71 0.73 17\n",
|
|
"\n",
|
|
" accuracy 0.85 61\n",
|
|
" macro avg 0.82 0.81 0.81 61\n",
|
|
"weighted avg 0.85 0.85 0.85 61\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# generate classification report using predictions for binary model\n",
|
|
"from sklearn.metrics import classification_report, accuracy_score\n",
|
|
"# generate classification report using predictions for binary model \n",
|
|
"binary_pred = np.round(binary_model.predict(X_test)).astype(int)\n",
|
|
"\n",
|
|
"print('Results for Binary Model')\n",
|
|
"print(accuracy_score(Y_test_binary, binary_pred))\n",
|
|
"print(classification_report(Y_test_binary, binary_pred))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2b14d59b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.13"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|