homework2-PCA&LDA.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 计算智能练习2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**运行环境：**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "\n",
    "np.set_printoptions(edgeitems=2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 数据\n",
    "\n",
    "文件夹orl中包含40个人的人脸图像，每个人有10幅图像，共400幅图像。\n",
    "\n",
    "### 1.1 数据读取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "样本个数：400\n",
      "样本示例：\n",
      " [[ 48  49 ...  46  46]\n",
      " [ 60  60 ...  34  34]\n",
      " ...\n",
      " [119 120 ...  94  85]\n",
      " [125 124 ...  35  34]]\n",
      "数据集大小：  (400, 10304)\n",
      "随机抽取30张人脸显示： \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x216 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img_data_path = \"./data/ORL/\"\n",
    "img_names = os.listdir(img_data_path)\n",
    "img_names.sort()\n",
    "img_names.remove(\"Thumbs.db\")\n",
    "imgs = [img_data_path + img_name for img_name in img_names]\n",
    "#print(imgs)\n",
    "\n",
    "img_array_list = []\n",
    "for img in imgs:\n",
    "    im = Image.open(img)\n",
    "    img_array = np.array(im).flatten()\n",
    "    img_array_list.append(img_array)\n",
    "#print(img_array_list)\n",
    "\n",
    "img_dataset = np.asarray(img_array_list)\n",
    "\n",
    "print(\"样本个数：%d\" %len(img_dataset))\n",
    "print(\"样本示例：\\n\", img_dataset)\n",
    "print(\"数据集大小： \", img_dataset.shape)\n",
    "print(\"随机抽取30张人脸显示： \")\n",
    "fig, axes = plt.subplots(3, 10,\n",
    "                        figsize=(10,3),\n",
    "                        subplot_kw={'xticks':[], 'yticks':[]})\n",
    "\n",
    "for i,ax in enumerate(axes.flat):\n",
    "    ax.imshow(img_dataset[i,:].reshape(112, 92), cmap='gray')\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 数据切分\n",
    "\n",
    "按照要求将数据集划分为**训练集**和**测试集**，实验要求每个人的前5个人脸为训练集，后5个人脸为测试集。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集 train_X 大小:  (200, 10304)\n",
      "测试集 test_X 大小:  (200, 10304)\n",
      "labels : (200, 1)\n"
     ]
    }
   ],
   "source": [
    "step = 10 #步长，这里由于每个人包含10张图片，因此步长为10\n",
    "half_step = step//2 #半步长，每个人的10张图片，前半部分为训练集，后半部分为测试集\n",
    "\n",
    "train_X = img_dataset[0 : half_step, :]\n",
    "test_X  = img_dataset[half_step : step, :]\n",
    "labels  = np.zeros((5,1), dtype=int)\n",
    "\n",
    "l = 1\n",
    "for i in range(step, len(img_dataset), step):\n",
    "    #print(\"range(%d, %d)\" %(i, i+step))\n",
    "    train_X = np.concatenate([train_X, img_dataset[i : i+half_step, :]], axis=0)\n",
    "    #print(\"range(%d, %d)\" %(i, i+i+half_step))\n",
    "    test_X  = np.concatenate([test_X, img_dataset[i+half_step : i+step, :]], axis=0)\n",
    "    #print(\"range(%d, %d)\" %(i + half_step, i+step))\n",
    "    #生成测试集标签\n",
    "    labels = np.concatenate([labels, l*np.ones((5,1), dtype=int)], axis=0)\n",
    "    l += 1\n",
    "\n",
    "print(\"训练集 train_X 大小: \", train_X.shape)\n",
    "print(\"测试集 test_X 大小: \", test_X.shape)\n",
    "print(\"labels :\", labels.shape)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 最小距离分类器\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 计算特征中心\n",
    "\n",
    "这里每一维度的量纲相同，因此无需进行归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 54.8  56.4 ...  30.6  34.4]\n",
      " [ 34.2  35.2 ...  51.   51.4]\n",
      " ...\n",
      " [ 78.6  80.8 ... 121.8 122. ]\n",
      " [127.  125.  ...  68.8  68. ]]\n",
      "(40, 10304)\n"
     ]
    }
   ],
   "source": [
    "mu_list = []\n",
    "for i in range(0, len(train_X), 5):\n",
    "    #print(\"range(%d, %d)\" %(i, i+5))\n",
    "    smaple = train_X[i:i+5, :]\n",
    "    mu_i = np.mean(smaple, axis=0)\n",
    "    mu_list.append(mu_i)\n",
    "\n",
    "#各类中心\n",
    "mu_centers = np.asarray(mu_list)\n",
    "print(mu_centers)\n",
    "print(mu_centers.shape)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 最小距离分类\n",
    "\n",
    "计算每个样本到各个特征中心的欧氏距离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_ = np.zeros((200, 1), dtype=int)\n",
    "for i in range(len(test_X)):\n",
    "    #计算到每一类中心的距离\n",
    "    distances = np.sum((mu_centers - test_X[i,:])**2, axis=1)\n",
    "\n",
    "    #分类到距离最小的类中心\n",
    "    labels_[i] = np.argmin(distances)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "分类并统计结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>已知类号</th>\n",
       "      <th>识别结果</th>\n",
       "      <th>结果</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>样本编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>15</td>\n",
       "      <td>24</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>22</td>\n",
       "      <td>37</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>27</td>\n",
       "      <td>36</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>32</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>34</td>\n",
       "      <td>24</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>35</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>35</td>\n",
       "      <td>16</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>39</td>\n",
       "      <td>4</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      已知类号  识别结果     结果\n",
       "样本编号                   \n",
       "0        0     0       \n",
       "1        0     0       \n",
       "2        0     0       \n",
       "3        0     0       \n",
       "4        0     0       \n",
       "5        1     1       \n",
       "6        1     1       \n",
       "7        1     1       \n",
       "8        1     1       \n",
       "9        1     1       \n",
       "10       2     2       \n",
       "11       2     2       \n",
       "12       2     2       \n",
       "13       2     2       \n",
       "14       2     2       \n",
       "15       3     3       \n",
       "16       3     3       \n",
       "17       3     3       \n",
       "18       3     3       \n",
       "19       3     3       \n",
       "20       4     4       \n",
       "21       4     4       \n",
       "22       4     4       \n",
       "23       4     4       \n",
       "24       4    39  error\n",
       "25       5     5       \n",
       "26       5     5       \n",
       "27       5     5       \n",
       "28       5     5       \n",
       "29       5     5       \n",
       "30       6     6       \n",
       "31       6     6       \n",
       "32       6     6       \n",
       "33       6     6       \n",
       "34       6     6       \n",
       "35       7     7       \n",
       "36       7     7       \n",
       "37       7     7       \n",
       "38       7     7       \n",
       "39       7     7       \n",
       "40       8     8       \n",
       "41       8     8       \n",
       "42       8     8       \n",
       "43       8     8       \n",
       "44       8     8       \n",
       "45       9     9       \n",
       "46       9     9       \n",
       "47       9     9       \n",
       "48       9     9       \n",
       "49       9     3  error\n",
       "50      10    10       \n",
       "51      10    10       \n",
       "52      10    10       \n",
       "53      10    10       \n",
       "54      10    10       \n",
       "55      11    11       \n",
       "56      11    11       \n",
       "57      11    11       \n",
       "58      11    11       \n",
       "59      11    11       \n",
       "60      12    17  error\n",
       "61      12    12       \n",
       "62      12    12       \n",
       "63      12    12       \n",
       "64      12    12       \n",
       "65      13    27  error\n",
       "66      13    27  error\n",
       "67      13    27  error\n",
       "68      13    10  error\n",
       "69      13    13       \n",
       "70      14    14       \n",
       "71      14    14       \n",
       "72      14    14       \n",
       "73      14    14       \n",
       "74      14    14       \n",
       "75      15    15       \n",
       "76      15    15       \n",
       "77      15    24  error\n",
       "78      15    15       \n",
       "79      15    15       \n",
       "80      16    35  error\n",
       "81      16    35  error\n",
       "82      16    35  error\n",
       "83      16    35  error\n",
       "84      16    35  error\n",
       "85      17    17       \n",
       "86      17    17       \n",
       "87      17    17       \n",
       "88      17    17       \n",
       "89      17    17       \n",
       "90      18    18       \n",
       "91      18    18       \n",
       "92      18    18       \n",
       "93      18    10  error\n",
       "94      18    18       \n",
       "95      19    19       \n",
       "96      19    19       \n",
       "97      19    19       \n",
       "98      19    19       \n",
       "99      19    19       \n",
       "100     20    20       \n",
       "101     20    20       \n",
       "102     20    20       \n",
       "103     20    20       \n",
       "104     20    20       \n",
       "105     21    21       \n",
       "106     21    21       \n",
       "107     21    21       \n",
       "108     21    21       \n",
       "109     21    21       \n",
       "110     22    22       \n",
       "111     22    22       \n",
       "112     22    22       \n",
       "113     22    22       \n",
       "114     22    37  error\n",
       "115     23    23       \n",
       "116     23    23       \n",
       "117     23    23       \n",
       "118     23    23       \n",
       "119     23    23       \n",
       "120     24    24       \n",
       "121     24    24       \n",
       "122     24    24       \n",
       "123     24    24       \n",
       "124     24    24       \n",
       "125     25    25       \n",
       "126     25    27  error\n",
       "127     25    25       \n",
       "128     25    25       \n",
       "129     25    25       \n",
       "130     26    16  error\n",
       "131     26    10  error\n",
       "132     26    10  error\n",
       "133     26    26       \n",
       "134     26    26       \n",
       "135     27    27       \n",
       "136     27    27       \n",
       "137     27    36  error\n",
       "138     27    27       \n",
       "139     27    27       \n",
       "140     28    28       \n",
       "141     28    28       \n",
       "142     28    28       \n",
       "143     28    28       \n",
       "144     28    28       \n",
       "145     29    29       \n",
       "146     29    29       \n",
       "147     29    29       \n",
       "148     29    29       \n",
       "149     29    29       \n",
       "150     30    30       \n",
       "151     30    20  error\n",
       "152     30     8  error\n",
       "153     30    20  error\n",
       "154     30    30       \n",
       "155     31    31       \n",
       "156     31     1  error\n",
       "157     31    31       \n",
       "158     31    31       \n",
       "159     31     1  error\n",
       "160     32    20  error\n",
       "161     32    32       \n",
       "162     32    32       \n",
       "163     32    32       \n",
       "164     32    32       \n",
       "165     33    33       \n",
       "166     33    33       \n",
       "167     33    33       \n",
       "168     33    33       \n",
       "169     33    33       \n",
       "170     34    34       \n",
       "171     34    24  error\n",
       "172     34    34       \n",
       "173     34    34       \n",
       "174     34    34       \n",
       "175     35    23  error\n",
       "176     35    35       \n",
       "177     35    35       \n",
       "178     35    35       \n",
       "179     35    16  error\n",
       "180     36    36       \n",
       "181     36    36       \n",
       "182     36    36       \n",
       "183     36    36       \n",
       "184     36    36       \n",
       "185     37    37       \n",
       "186     37    37       \n",
       "187     37    37       \n",
       "188     37    37       \n",
       "189     37    37       \n",
       "190     38    38       \n",
       "191     38    38       \n",
       "192     38    38       \n",
       "193     38    38       \n",
       "194     38    38       \n",
       "195     39    39       \n",
       "196     39    39       \n",
       "197     39    39       \n",
       "198     39    39       \n",
       "199     39     4  error"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_dict = dict(已知类号=labels.flatten(),识别结果=labels_.flatten())\n",
    "result_df = pd.DataFrame(result_dict)\n",
    "pd.set_option('display.max_rows', 500)\n",
    "result_df.index.name = '样本编号'\n",
    "result_df.loc[result_df['已知类号'] != result_df['识别结果'], '结果'] = 'error'\n",
    "result_df.loc[result_df['已知类号'] == result_df['识别结果'], '结果'] = ''\n",
    "result_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "识别错误率： 0.150000\n"
     ]
    }
   ],
   "source": [
    "errorno = np.count_nonzero(labels - labels_)\n",
    "print(\"识别错误率： %f\" %(errorno/len(labels)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. PCA\n",
    "\n",
    "### 3.1 算法流程\n",
    "\n",
    "1. 创建所有训练样本组成的矩阵，并计算训练样本的平均值矩阵\n",
    "2. 去除平均值，得到规格化后的训练样本矩阵\n",
    "3. 计算协方差矩阵及其特征值和特征向量，并对特征值排序，保留k个最大的特征值对应的特征向量\n",
    "4. 获得训练样本的特征脸空间，并计算训练样本在特征脸空间上的投影\n",
    "5. 计算欧式距离，找出匹配的人量\n",
    "\n",
    "### 3.2 实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "协方差矩阵： (10304, 10304)\n",
      "[[1283.65031955 1271.88059524 ... -112.43522556  -58.93531955]\n",
      " [1271.88059524 1276.58044486 ... -110.82660401  -58.63296366]\n",
      " ...\n",
      " [-112.43522556 -110.82660401 ... 1978.60328321 1841.77765664]\n",
      " [ -58.93531955  -58.63296366 ... 1841.77765664 1937.10350251]]\n",
      "特征值: \n",
      " [2.82391006e+06+0.00000000e+00j 2.06973946e+06+0.00000000e+00j ...\n",
      " 3.56479873e-14+2.79997997e-14j 3.56479873e-14-2.79997997e-14j]\n",
      "特征向量: \n",
      " [[-2.12507923e-03+0.00000000e+00j  1.46851506e-02+0.00000000e+00j ...\n",
      "   1.77985538e-04+2.82110395e-04j  1.77985538e-04-2.82110395e-04j]\n",
      " [-2.11276614e-03+0.00000000e+00j  1.46139383e-02+0.00000000e+00j ...\n",
      "   1.73740520e-05+4.22082625e-05j  1.73740520e-05-4.22082625e-05j]\n",
      " ...\n",
      " [-6.39096175e-03+0.00000000e+00j -9.70069545e-03+0.00000000e+00j ...\n",
      "  -5.48286160e-03-7.26738461e-03j -5.48286160e-03+7.26738461e-03j]\n",
      " [-7.34479428e-03+0.00000000e+00j -8.81892481e-03+0.00000000e+00j ...\n",
      "  -3.40522445e-03-2.32162539e-04j -3.40522445e-03+2.32162539e-04j]]\n"
     ]
    }
   ],
   "source": [
    "####### (1) 数据中心化   #######\n",
    "img_mean = np.mean(img_dataset, axis=0)\n",
    "img_dataset_center = img_dataset - img_mean\n",
    "\n",
    "####### (2) 求协方差矩阵 #######\n",
    "cov_mat = np.cov(img_dataset_center, rowvar=0)\n",
    "print(\"协方差矩阵：\", cov_mat.shape)\n",
    "print(cov_mat)\n",
    "\n",
    "####### (3) 特征值分解  #######\n",
    "#cov_mat = cov_mat.astype(np.float16)\n",
    "eigVals, eigVects = np.linalg.eig(cov_mat)\n",
    "\n",
    "print(\"特征值: \\n\", eigVals)\n",
    "print(\"特征向量: \\n\", eigVects)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10304, 1000)\n",
      "降维之后的数据：\n",
      "(400, 1000)\n",
      "[[ 1.53117605e+03+0.00000000e+00j  1.07218127e+03+0.00000000e+00j ...\n",
      "  -1.95399252e-14-7.16093851e-15j -3.04201109e-14-4.06341627e-14j]\n",
      " [ 2.97589645e+03+0.00000000e+00j  7.59883085e+02+0.00000000e+00j ...\n",
      "   5.82867088e-15+9.76996262e-15j -6.26165786e-14-1.86517468e-14j]\n",
      " ...\n",
      " [ 1.40061766e+03+0.00000000e+00j  1.27641047e+03+0.00000000e+00j ...\n",
      "  -4.20774526e-14-3.10862447e-15j  3.55271368e-15+1.77635684e-15j]\n",
      " [ 5.34834654e+02+0.00000000e+00j  4.76892070e+02+0.00000000e+00j ...\n",
      "  -5.32907052e-15-4.01900735e-14j  6.56141808e-14-5.50670620e-14j]]\n"
     ]
    }
   ],
   "source": [
    "####### (4) 特征值排序 #######\n",
    "#选取前1000个特征值\n",
    "top = 1000\n",
    "ranked_eigval_indice = np.argsort(eigVals)\n",
    "topk_eigval_idx = ranked_eigval_indice[-1:-(top+1):-1]\n",
    "topk_eigvecs = eigVects[:, topk_eigval_idx]\n",
    "print(topk_eigvecs.shape)\n",
    "\n",
    "####### (5) 降维 #######\n",
    "img_dataset_reduced = np.matmul(img_dataset_center, topk_eigvecs)\n",
    "print(\"降维之后的数据：\")\n",
    "print(img_dataset_reduced.shape)\n",
    "print(img_dataset_reduced)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 可解释性方差及人脸图像重构\n",
    "\n",
    "下图表示可解释性方差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eig_vals = np.abs(eigVals[0:100])\n",
    "tot = sum(eig_vals)\n",
    "var_exp = [(i / tot)*100 for i in sorted(eig_vals, reverse=True)]\n",
    "cum_var_exp = np.cumsum(var_exp)\n",
    "with plt.style.context('seaborn-whitegrid'):\n",
    "    plt.figure(figsize=(6, 4))\n",
    "\n",
    "    plt.bar(range(len(eig_vals)), var_exp, alpha=0.5, align='center',\n",
    "            label='individual explained variance')\n",
    "    plt.step(range(len(eig_vals)), cum_var_exp, where='mid',\n",
    "             label='cumulative explained variance')\n",
    "    plt.ylabel('Explained variance ratio')\n",
    "    plt.xlabel('Principal components')\n",
    "    plt.legend(loc='best')\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从图中可以看出，1个维度的特征保留了20%的原始数据的信息，而20个维度的的特征就几乎保留了80%原始数据的信息，100个维度的特征几乎保留了原始数据100%的信息。\n",
    "\n",
    "下面展示使用降维到不同维度（1000，100，20，10）后的数据重构原始的人脸数据的直观结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "一共5行数据，第1，2，3，4，5行分别代表原始数据，降低到1000，100，20，10维之后的数据。\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1080 with 50 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dim_list = [1000, 100, 20, 10]\n",
    "display_list = []\n",
    "[display_list.append(img_dataset[i, :].reshape(112, 92)) for i in range(10)]\n",
    "\n",
    "for d in dim_list:\n",
    "    n_eigvals_idx = ranked_eigval_indice[-1:-(d+1):-1]\n",
    "    n_eigvecs = eigVects[:, n_eigvals_idx]\n",
    "\n",
    "    #数据降维\n",
    "    low_dim_data = np.matmul(img_dataset_center, n_eigvecs)\n",
    "\n",
    "    #利用低纬度数据重构数据\n",
    "    reverse_data = np.matmul(low_dim_data, n_eigvecs.T) + img_mean\n",
    "\n",
    "    [display_list.append(reverse_data[i, :].reshape(112, 92)) for i in range(10)]\n",
    "\n",
    "fig, axes = plt.subplots(5, 10,\n",
    "                        figsize=(20,15),\n",
    "                        subplot_kw={'xticks':[], 'yticks':[]},\n",
    "                        sharey=True)\n",
    "\n",
    "for i,ax in enumerate(axes.flat):\n",
    "    ax.imshow(np.abs(display_list[i]), cmap='gray')\n",
    "\n",
    "print(\"一共5行数据，第1，2，3，4，5行分别代表原始数据，降低到1000，100，20，10维之后的数据。\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Eigenface + Fisherface (PCA + LDA)\n",
    "\n",
    "### 4.1 应用Eigenface的方法得到N - C个Eigenfaces\n",
    "\n",
    "N为训练样本个数，C为类数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eigenface (10304, 160)\n"
     ]
    }
   ],
   "source": [
    "N = len(train_X)\n",
    "C = 40\n",
    "\n",
    "# 取N-C个Eigenfaces\n",
    "nc_eigvals_idx = ranked_eigval_indice[-1:-(N-C+1):-1]\n",
    "eigenfaces = eigVects[:, nc_eigvals_idx]\n",
    "\n",
    "print(\"Eigenface\", eigenfaces.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 将模式投影到Eigenface\n",
    "\n",
    "将训练样本投影到特征脸空间，得到投影特征 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练样本投影特征\n",
      " [[ 9355.16929768  7908.75618988 ...    70.37452156    17.4546888 ]\n",
      " [10799.88970272  7596.45800787 ...   126.0032258     73.60789772]\n",
      " ...\n",
      " [ 8438.13519818  6814.99693701 ...   261.57319744    21.36989129]\n",
      " [ 9027.73268994  8407.21771867 ...    53.64038389    56.55961798]] \n",
      "shape (200, 160)\n",
      "测试样本投影特征\n",
      " [[10354.30397688  7965.88968988 ...   196.27450552    63.51466994]\n",
      " [10210.89988853  7588.08341982 ...    57.76031711   162.45987384]\n",
      " ...\n",
      " [ 9224.6109069   8112.98539234 ...    99.07849594   177.04489674]\n",
      " [ 8358.82790231  7313.46699315 ...    61.9825598     89.95666954]] \n",
      "shape (200, 160)\n"
     ]
    }
   ],
   "source": [
    "train_X_prj = np.abs(np.dot(train_X, eigenfaces))\n",
    "test_X_prj = np.abs(np.dot(test_X, eigenfaces))\n",
    "\n",
    "print(\"训练样本投影特征\\n\", train_X_prj, \"\\nshape\", train_X_prj.shape)\n",
    "print(\"测试样本投影特征\\n\", test_X_prj, \"\\nshape\", test_X_prj.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3 FisherFace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 计算每类样本中心和总体样本中心\n",
    "2. 计算类内散度Sw和类间散度Sb\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "类内散度Sw: \n",
      " [[ 4.35456181e+07  3.96777928e+06 ... -3.47742578e+04  4.52530293e+05]\n",
      " [ 3.96777928e+06  4.44641237e+07 ... -2.69584499e+05 -2.90780022e+05]\n",
      " ...\n",
      " [-3.47742578e+04 -2.69584499e+05 ...  8.35079579e+05 -9.45684321e+01]\n",
      " [ 4.52530293e+05 -2.90780022e+05 ... -9.45684321e+01  6.49224602e+05]] \n",
      "Shape (160, 160)\n",
      "类间散度Sb: \n",
      " [[ 3.02074054e+09 -1.04965234e+08 ...  8.23423059e+06  2.23505443e+07]\n",
      " [-1.04965234e+08  2.01156717e+09 ... -1.10597516e+07 -1.26429759e+07]\n",
      " ...\n",
      " [ 8.23423059e+06 -1.10597516e+07 ...  5.15325532e+06  2.75199349e+05]\n",
      " [ 2.23505443e+07 -1.26429759e+07 ...  2.75199349e+05  4.35015632e+06]] \n",
      "Shape (160, 160)\n"
     ]
    }
   ],
   "source": [
    "m, n = train_X_prj.shape\n",
    "total_mu = np.mean(train_X_prj, axis=0)\n",
    "\n",
    "#计算Sw,Sb\n",
    "Sw = np.zeros((n, n))\n",
    "Sb = np.zeros((n, n))\n",
    "for i in range(0, m, m//C):\n",
    "    # 取出每一类的样本\n",
    "    sub_sample = train_X_prj[i:i+5,:]\n",
    "\n",
    "    # 计算sw\n",
    "    nor_sub_sample = sub_sample - np.mean(sub_sample, axis=0)\n",
    "    Sw += np.dot(nor_sub_sample.T, nor_sub_sample)\n",
    "\n",
    "    # 计算Sb\n",
    "    normu_sub_sample = sub_sample - total_mu\n",
    "    Sb += m//C* np.dot(normu_sub_sample.T, normu_sub_sample)\n",
    "\n",
    "print(\"类内散度Sw: \\n\", Sw, \"\\nShape\", Sw.shape)\n",
    "print(\"类间散度Sb: \\n\", Sb, \"\\nShape\", Sb.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "应用fisher鉴别准则，得到C-1个鉴别方向，并将特征脸空间中的样本投影到鉴别向量上得到鉴别特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#计算变换矩阵并进行特征值分解\n",
    "eignvals, eignvecs = np.linalg.eig(np.mat(np.linalg.inv(Sw)*Sb))\n",
    "ranked_eignvals = np.argsort(eignvals)\n",
    "\n",
    "#选取C-1个最大的特征值\n",
    "top_eignval_idx = ranked_eignvals[-1:-C:-1]\n",
    "#print(eignvecs.shape)\n",
    "top_eignvecs = eignvecs[:, top_eignval_idx]\n",
    "#print(top_eignvecs.shape)\n",
    "\n",
    "#将测试样本投影到鉴别向量\n",
    "train_X_prjprj = np.dot(train_X_prj, top_eignvecs)\n",
    "#print(train_X_prjprj.shape)\n",
    "test_X_prjprj = np.dot(test_X_prj, top_eignvecs)\n",
    "#print(test_X_prjprj.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "利用将别特征做最小距离分类器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#分类标签\n",
    "labels_ = np.zeros((m,1), dtype=int)\n",
    "\n",
    "#最小距离分类\n",
    "for i in range(m):\n",
    "    test_sample = test_X_prjprj[i, :]\n",
    "    distances = np.sum(((train_X_prjprj - test_sample).A)**2, axis=1)\n",
    "    #distances = np.sum((mu_centers - test_X[i,:])**2, axis=1)\n",
    "    sorted_distances = np.argsort(distances)\n",
    "    labels_[i] = (sorted_distances[0]//5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "显示分类结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>已知类号</th>\n",
       "      <th>识别结果</th>\n",
       "      <th>结果</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>样本编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>8</td>\n",
       "      <td>37</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>13</td>\n",
       "      <td>36</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>15</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>19</td>\n",
       "      <td>37</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>19</td>\n",
       "      <td>37</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>22</td>\n",
       "      <td>37</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>26</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>27</td>\n",
       "      <td>36</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>32</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>34</td>\n",
       "      <td>24</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>35</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>38</td>\n",
       "      <td>20</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>38</td>\n",
       "      <td>28</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>39</td>\n",
       "      <td>4</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      已知类号  识别结果     结果\n",
       "样本编号                   \n",
       "0        0    17  error\n",
       "1        0     0       \n",
       "2        0    12  error\n",
       "3        0     0       \n",
       "4        0    11  error\n",
       "5        1     1       \n",
       "6        1     1       \n",
       "7        1     1       \n",
       "8        1     1       \n",
       "9        1     1       \n",
       "10       2     2       \n",
       "11       2     2       \n",
       "12       2     2       \n",
       "13       2     2       \n",
       "14       2     2       \n",
       "15       3     3       \n",
       "16       3     3       \n",
       "17       3     3       \n",
       "18       3     3       \n",
       "19       3     3       \n",
       "20       4     4       \n",
       "21       4     4       \n",
       "22       4     4       \n",
       "23       4     4       \n",
       "24       4    17  error\n",
       "25       5     5       \n",
       "26       5     5       \n",
       "27       5     5       \n",
       "28       5     5       \n",
       "29       5     5       \n",
       "30       6     6       \n",
       "31       6     6       \n",
       "32       6     6       \n",
       "33       6     6       \n",
       "34       6     6       \n",
       "35       7     7       \n",
       "36       7     7       \n",
       "37       7     7       \n",
       "38       7     7       \n",
       "39       7     7       \n",
       "40       8     8       \n",
       "41       8    37  error\n",
       "42       8     8       \n",
       "43       8     8       \n",
       "44       8     8       \n",
       "45       9     9       \n",
       "46       9     9       \n",
       "47       9     9       \n",
       "48       9     9       \n",
       "49       9     3  error\n",
       "50      10    10       \n",
       "51      10    10       \n",
       "52      10    14  error\n",
       "53      10    10       \n",
       "54      10    10       \n",
       "55      11    11       \n",
       "56      11    11       \n",
       "57      11    11       \n",
       "58      11    11       \n",
       "59      11    11       \n",
       "60      12    12       \n",
       "61      12    12       \n",
       "62      12    12       \n",
       "63      12    12       \n",
       "64      12    12       \n",
       "65      13    36  error\n",
       "66      13    27  error\n",
       "67      13    27  error\n",
       "68      13    15  error\n",
       "69      13    27  error\n",
       "70      14    14       \n",
       "71      14    14       \n",
       "72      14    14       \n",
       "73      14    14       \n",
       "74      14    14       \n",
       "75      15     1  error\n",
       "76      15     4  error\n",
       "77      15     4  error\n",
       "78      15    39  error\n",
       "79      15    15       \n",
       "80      16    35  error\n",
       "81      16    35  error\n",
       "82      16    16       \n",
       "83      16    16       \n",
       "84      16    35  error\n",
       "85      17    17       \n",
       "86      17    17       \n",
       "87      17    17       \n",
       "88      17    17       \n",
       "89      17    17       \n",
       "90      18    18       \n",
       "91      18    18       \n",
       "92      18    18       \n",
       "93      18    10  error\n",
       "94      18    18       \n",
       "95      19    19       \n",
       "96      19    19       \n",
       "97      19    37  error\n",
       "98      19    37  error\n",
       "99      19    19       \n",
       "100     20    20       \n",
       "101     20    20       \n",
       "102     20    20       \n",
       "103     20    20       \n",
       "104     20    20       \n",
       "105     21    21       \n",
       "106     21    21       \n",
       "107     21    21       \n",
       "108     21    21       \n",
       "109     21    21       \n",
       "110     22    22       \n",
       "111     22    22       \n",
       "112     22    22       \n",
       "113     22    37  error\n",
       "114     22    22       \n",
       "115     23    23       \n",
       "116     23    23       \n",
       "117     23    23       \n",
       "118     23    23       \n",
       "119     23    23       \n",
       "120     24    24       \n",
       "121     24    24       \n",
       "122     24    24       \n",
       "123     24    24       \n",
       "124     24    24       \n",
       "125     25    25       \n",
       "126     25    12  error\n",
       "127     25    25       \n",
       "128     25    25       \n",
       "129     25    25       \n",
       "130     26    16  error\n",
       "131     26    16  error\n",
       "132     26    15  error\n",
       "133     26    26       \n",
       "134     26    26       \n",
       "135     27    27       \n",
       "136     27    27       \n",
       "137     27    36  error\n",
       "138     27    27       \n",
       "139     27    27       \n",
       "140     28    28       \n",
       "141     28    28       \n",
       "142     28    28       \n",
       "143     28    28       \n",
       "144     28    28       \n",
       "145     29    29       \n",
       "146     29    29       \n",
       "147     29    29       \n",
       "148     29    29       \n",
       "149     29    29       \n",
       "150     30    30       \n",
       "151     30    20  error\n",
       "152     30    30       \n",
       "153     30    30       \n",
       "154     30    30       \n",
       "155     31    31       \n",
       "156     31     1  error\n",
       "157     31    31       \n",
       "158     31    31       \n",
       "159     31     1  error\n",
       "160     32    20  error\n",
       "161     32    32       \n",
       "162     32    32       \n",
       "163     32    32       \n",
       "164     32    32       \n",
       "165     33    33       \n",
       "166     33    33       \n",
       "167     33    33       \n",
       "168     33    33       \n",
       "169     33    33       \n",
       "170     34    34       \n",
       "171     34    24  error\n",
       "172     34    34       \n",
       "173     34    34       \n",
       "174     34    39  error\n",
       "175     35    15  error\n",
       "176     35    23  error\n",
       "177     35    35       \n",
       "178     35    35       \n",
       "179     35    15  error\n",
       "180     36    36       \n",
       "181     36    36       \n",
       "182     36    36       \n",
       "183     36    36       \n",
       "184     36    36       \n",
       "185     37    37       \n",
       "186     37    37       \n",
       "187     37    37       \n",
       "188     37    37       \n",
       "189     37    37       \n",
       "190     38    38       \n",
       "191     38    32  error\n",
       "192     38    20  error\n",
       "193     38    38       \n",
       "194     38    28  error\n",
       "195     39     4  error\n",
       "196     39    39       \n",
       "197     39    39       \n",
       "198     39    39       \n",
       "199     39    39       "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_dict2 = dict(已知类号=labels.flatten(),识别结果=labels_.flatten())\n",
    "result_df2 = pd.DataFrame(result_dict2)\n",
    "pd.set_option('display.max_rows', 500)\n",
    "result_df2.index.name = '样本编号'\n",
    "result_df2.loc[result_df2['已知类号'] != result_df2['识别结果'], '结果'] = 'error'\n",
    "result_df2.loc[result_df2['已知类号'] == result_df2['识别结果'], '结果'] = ''\n",
    "result_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "分类错误率： 0.205000\n"
     ]
    }
   ],
   "source": [
    "print(\"分类错误率： %f\" %(np.count_nonzero(labels_ - labels)/m))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## 4. An efficient algorithm for Fisher criterion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "类内散度Sw: \n",
      " [[25607.2 25427.6 ...  8627.   9128.8]\n",
      " [25427.6 28204.4 ...  8406.6  8607.4]\n",
      " ...\n",
      " [ 8627.   8406.6 ... 65225.2 54032.8]\n",
      " [ 9128.8  8607.4 ... 54032.8 72297.2]] \n",
      "Shape (10304, 10304)\n",
      "类间散度Sb: \n",
      " [[1241179.9   1228949.7   ... -151239.8    -54572.05 ]\n",
      " [1228949.7   1236349.1   ... -140424.4    -50501.15 ]\n",
      " ...\n",
      " [-151239.8   -140424.4   ... 1989179.6   1782404.1  ]\n",
      " [ -54572.05   -50501.15  ... 1782404.1   1783972.975]] \n",
      "Shape (10304, 10304)\n"
     ]
    }
   ],
   "source": [
    "m, n = train_X.shape\n",
    "total_mu = np.mean(train_X, axis=0)\n",
    "\n",
    "#计算Sw,Sb\n",
    "Sw = np.zeros((n, n))\n",
    "Sb = np.zeros((n, n))\n",
    "for i in range(0, m, m//C):\n",
    "    # 取出每一类的样本\n",
    "    sub_sample = train_X[i:i+5,:]\n",
    "\n",
    "    # 计算sw\n",
    "    nor_sub_sample = sub_sample - np.mean(sub_sample, axis=0)\n",
    "    Sw += np.dot(nor_sub_sample.T, nor_sub_sample)\n",
    "\n",
    "    # 计算Sb\n",
    "    normu_sub_sample = sub_sample - total_mu\n",
    "    Sb += m//C* np.dot(normu_sub_sample.T, normu_sub_sample)\n",
    "\n",
    "print(\"类内散度Sw: \\n\", Sw, \"\\nShape\", Sw.shape)\n",
    "print(\"类间散度Sb: \\n\", Sb, \"\\nShape\", Sb.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#计算变换矩阵并进行特征值分解\n",
    "eignvals, eignvecs = np.linalg.eig(np.mat(np.linalg.inv(Sw)*Sb))\n",
    "ranked_eignvals = np.argsort(eignvals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#选取C-1个最大的特征值\n",
    "top_eignval_idx = ranked_eignvals[-1:-N:-1]\n",
    "#print(eignvecs.shape)\n",
    "top_eignvecs = eignvecs[:, top_eignval_idx]\n",
    "#print(top_eignvecs.shape)\n",
    "\n",
    "#将测试样本投影到鉴别向量\n",
    "train_X_prj = np.dot(train_X, top_eignvecs)\n",
    "#print(train_X_prj.shape)\n",
    "test_X_prj = np.dot(test_X, top_eignvecs)\n",
    "#print(test_X_prj.shape)\n",
    "\n",
    "#分类标签\n",
    "labels_ = np.zeros((m,1), dtype=int)\n",
    "\n",
    "#最小距离分类\n",
    "for i in range(m):\n",
    "    test_sample = test_X_prj[i, :]\n",
    "    distances = np.sum(((train_X_prj - test_sample).A)**2, axis=1)\n",
    "    #distances = np.sum((mu_centers - test_X[i,:])**2, axis=1)\n",
    "    sorted_distances = np.argsort(distances)\n",
    "    labels_[i] = (sorted_distances[0]//5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>已知类号</th>\n",
       "      <th>识别结果</th>\n",
       "      <th>结果</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>样本编号</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>6</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>6</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>7</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>7</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>7</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>8</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>8</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>9</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>10</td>\n",
       "      <td>34</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>11</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>14</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>14</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>14</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>14</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>15</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>17</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>17</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>19</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>20</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>20</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>20</td>\n",
       "      <td>36</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>22</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>22</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>22</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>22</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>23</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>23</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>23</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>24</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>25</td>\n",
       "      <td>34</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>25</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>25</td>\n",
       "      <td>34</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>28</td>\n",
       "      <td>21</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>28</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>28</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>28</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>29</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>29</td>\n",
       "      <td>28</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>30</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>31</td>\n",
       "      <td>34</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>31</td>\n",
       "      <td>24</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>32</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>32</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>32</td>\n",
       "      <td>28</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>32</td>\n",
       "      <td>25</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>32</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>33</td>\n",
       "      <td>17</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>33</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>33</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>33</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>33</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>34</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>34</td>\n",
       "      <td>26</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>35</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>35</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>36</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>36</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>36</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>36</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>36</td>\n",
       "      <td>38</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>37</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>37</td>\n",
       "      <td>39</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>37</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>38</td>\n",
       "      <td>35</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>39</td>\n",
       "      <td>23</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>39</td>\n",
       "      <td>29</td>\n",
       "      <td>error</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      已知类号  识别结果     结果\n",
       "样本编号                   \n",
       "0        0    26  error\n",
       "1        0    15  error\n",
       "2        0    15  error\n",
       "3        0    15  error\n",
       "4        0    17  error\n",
       "5        1    11  error\n",
       "6        1    26  error\n",
       "7        1    26  error\n",
       "8        1    10  error\n",
       "9        1    11  error\n",
       "10       2    36  error\n",
       "11       2    39  error\n",
       "12       2    39  error\n",
       "13       2    21  error\n",
       "14       2    26  error\n",
       "15       3    39  error\n",
       "16       3     3       \n",
       "17       3    39  error\n",
       "18       3    21  error\n",
       "19       3    21  error\n",
       "20       4    18  error\n",
       "21       4    15  error\n",
       "22       4    39  error\n",
       "23       4    11  error\n",
       "24       4    39  error\n",
       "25       5     5       \n",
       "26       5    35  error\n",
       "27       5     5       \n",
       "28       5     5       \n",
       "29       5    23  error\n",
       "30       6    38  error\n",
       "31       6    38  error\n",
       "32       6    23  error\n",
       "33       6    15  error\n",
       "34       6    26  error\n",
       "35       7    39  error\n",
       "36       7    11  error\n",
       "37       7    39  error\n",
       "38       7    39  error\n",
       "39       7    21  error\n",
       "40       8    35  error\n",
       "41       8    22  error\n",
       "42       8    22  error\n",
       "43       8     8       \n",
       "44       8    35  error\n",
       "45       9    38  error\n",
       "46       9    14  error\n",
       "47       9    39  error\n",
       "48       9    28  error\n",
       "49       9    21  error\n",
       "50      10    23  error\n",
       "51      10     7  error\n",
       "52      10    23  error\n",
       "53      10    34  error\n",
       "54      10    15  error\n",
       "55      11    38  error\n",
       "56      11    32  error\n",
       "57      11    21  error\n",
       "58      11    15  error\n",
       "59      11    32  error\n",
       "60      12    15  error\n",
       "61      12    15  error\n",
       "62      12    12       \n",
       "63      12    15  error\n",
       "64      12    15  error\n",
       "65      13    26  error\n",
       "66      13    25  error\n",
       "67      13    12  error\n",
       "68      13    26  error\n",
       "69      13    12  error\n",
       "70      14    11  error\n",
       "71      14    35  error\n",
       "72      14    21  error\n",
       "73      14    39  error\n",
       "74      14    35  error\n",
       "75      15    12  error\n",
       "76      15    35  error\n",
       "77      15    12  error\n",
       "78      15    12  error\n",
       "79      15    39  error\n",
       "80      16    39  error\n",
       "81      16    39  error\n",
       "82      16    26  error\n",
       "83      16    25  error\n",
       "84      16    25  error\n",
       "85      17    33  error\n",
       "86      17    26  error\n",
       "87      17    35  error\n",
       "88      17    21  error\n",
       "89      17    39  error\n",
       "90      18    12  error\n",
       "91      18    12  error\n",
       "92      18    12  error\n",
       "93      18    26  error\n",
       "94      18    12  error\n",
       "95      19    21  error\n",
       "96      19    35  error\n",
       "97      19     5  error\n",
       "98      19    39  error\n",
       "99      19    19       \n",
       "100     20    39  error\n",
       "101     20    39  error\n",
       "102     20     3  error\n",
       "103     20    36  error\n",
       "104     20     3  error\n",
       "105     21     3  error\n",
       "106     21    11  error\n",
       "107     21    11  error\n",
       "108     21     3  error\n",
       "109     21    25  error\n",
       "110     22    35  error\n",
       "111     22    35  error\n",
       "112     22    39  error\n",
       "113     22    39  error\n",
       "114     22    39  error\n",
       "115     23    39  error\n",
       "116     23    39  error\n",
       "117     23    39  error\n",
       "118     23    25  error\n",
       "119     23    25  error\n",
       "120     24    11  error\n",
       "121     24    39  error\n",
       "122     24    25  error\n",
       "123     24    11  error\n",
       "124     24    11  error\n",
       "125     25    34  error\n",
       "126     25    26  error\n",
       "127     25    15  error\n",
       "128     25    34  error\n",
       "129     25    26  error\n",
       "130     26    26       \n",
       "131     26    11  error\n",
       "132     26     6  error\n",
       "133     26    12  error\n",
       "134     26    11  error\n",
       "135     27    15  error\n",
       "136     27    26  error\n",
       "137     27    15  error\n",
       "138     27    26  error\n",
       "139     27    15  error\n",
       "140     28    21  error\n",
       "141     28    35  error\n",
       "142     28    35  error\n",
       "143     28    28       \n",
       "144     28    35  error\n",
       "145     29     3  error\n",
       "146     29    11  error\n",
       "147     29    11  error\n",
       "148     29    35  error\n",
       "149     29    28  error\n",
       "150     30    25  error\n",
       "151     30    10  error\n",
       "152     30    38  error\n",
       "153     30     3  error\n",
       "154     30    12  error\n",
       "155     31    12  error\n",
       "156     31    15  error\n",
       "157     31    34  error\n",
       "158     31    24  error\n",
       "159     31    12  error\n",
       "160     32    25  error\n",
       "161     32    39  error\n",
       "162     32    28  error\n",
       "163     32    25  error\n",
       "164     32    39  error\n",
       "165     33    17  error\n",
       "166     33    15  error\n",
       "167     33    39  error\n",
       "168     33    11  error\n",
       "169     33    11  error\n",
       "170     34    39  error\n",
       "171     34    26  error\n",
       "172     34    39  error\n",
       "173     34    26  error\n",
       "174     34    11  error\n",
       "175     35    39  error\n",
       "176     35    39  error\n",
       "177     35    38  error\n",
       "178     35    38  error\n",
       "179     35    39  error\n",
       "180     36    35  error\n",
       "181     36    15  error\n",
       "182     36    15  error\n",
       "183     36    15  error\n",
       "184     36    38  error\n",
       "185     37    35  error\n",
       "186     37    35  error\n",
       "187     37    39  error\n",
       "188     37    39  error\n",
       "189     37    35  error\n",
       "190     38     6  error\n",
       "191     38    35  error\n",
       "192     38    35  error\n",
       "193     38    35  error\n",
       "194     38     6  error\n",
       "195     39     7  error\n",
       "196     39    15  error\n",
       "197     39    23  error\n",
       "198     39    15  error\n",
       "199     39    29  error"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_dict3 = dict(已知类号=labels.flatten(),识别结果=labels_.flatten())\n",
    "result_df3 = pd.DataFrame(result_dict3)\n",
    "pd.set_option('display.max_rows', 500)\n",
    "result_df3.index.name = '样本编号'\n",
    "result_df3.loc[result_df3['已知类号'] != result_df3['识别结果'], '结果'] = 'error'\n",
    "result_df3.loc[result_df3['已知类号'] == result_df3['识别结果'], '结果'] = ''\n",
    "result_df3"
   ]
  }
 ],
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