code.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6ff5ea00-4f23-4024-a262-dd9c9b55aa4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac45001d-3c9b-48b2-a559-fca8f07d5346",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cf1237dc-bfe2-43f5-9ed1-8f2b0ccc89ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Pregnancies               768 non-null    int64  \n",
      " 1   Glucose                   768 non-null    int64  \n",
      " 2   BloodPressure             768 non-null    int64  \n",
      " 3   SkinThickness             768 non-null    int64  \n",
      " 4   Insulin                   768 non-null    int64  \n",
      " 5   BMI                       768 non-null    float64\n",
      " 6   DiabetesPedigreeFunction  768 non-null    float64\n",
      " 7   Age                       768 non-null    int64  \n",
      " 8   Outcome                   768 non-null    int64  \n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv(\"./diabetes.csv\")\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c500ced7-588d-4f48-9613-65f0849495e8",
   "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>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>DiabetesPedigreeFunction</th>\n",
       "      <th>Age</th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
       "\n",
       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
       "count  768.000000                768.000000  768.000000  768.000000  \n",
       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
       "std      7.884160                  0.331329   11.760232    0.476951  \n",
       "min      0.000000                  0.078000   21.000000    0.000000  \n",
       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
       "max     67.100000                  2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b5a7e3f-77bb-45d6-8241-6eede791176e",
   "metadata": {},
   "source": [
    "## 每个特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "73175d2f-a1dd-4ebc-820c-76bfad18ae40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1700x1700 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 4, figsize=(17, 17))\n",
    "\n",
    "# 对每个特征进行直方图可视化\n",
    "for i, column in enumerate(data.columns[:-1]):\n",
    "    ax = axes[i//4, i%4]\n",
    "    ax.hist(data[column], bins=20, color='skyblue', edgecolor='black')\n",
    "    ax.set_title(f'{column} Distribution')\n",
    "    ax.set_xlabel(column)\n",
    "    ax.set_ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e42aa8f-e306-4876-ac6d-db02f3fa9db2",
   "metadata": {},
   "source": [
    "- Pregnancies，Insulin，DiabetepedigreeFunction, Age 呈现右偏\n",
    "- Pregnancies、Insulin、DiabetesPedigreeFunction 的正常值通常较小，呈现右偏的特征；\n",
    "- 而 Age 的右偏可能导致数据不均衡，特别是在处理与糖尿病相关的预测问题时。\n",
    "- 右偏分布会导致某些数据点对模型产生不平衡的影响，进而影响模型的训练和预测效果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5249878d-d4f2-4b34-9e36-1a8c7bec5b4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matrix = data.corr()\n",
    "\n",
    "# 使用热力图显示相关性矩阵\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\", linewidths=0.5)\n",
    "plt.title('Feature Correlation Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f095c09-0825-4e86-aa0e-7f9cc2b63e1c",
   "metadata": {},
   "source": [
    "Gluson(血糖) 和 结果（糖尿病）有很强的相关性，其次是 BMI 和 age，这也都符合我们的一般认识"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a182d873-cb1b-47da-abca-d0448d22be95",
   "metadata": {},
   "source": [
    "## 可视化目标变量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bf8fd892-63c4-4102-8f8b-235a510006c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "sns.countplot(x='Outcome', data=data, palette='Set2',hue='Outcome')\n",
    "plt.title('Diabetes Outcome Distribution')\n",
    "plt.xlabel('Outcome (0 = No, 1 = Yes)')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4c2fc8a-29fc-4b6c-bd41-549b5d60efb5",
   "metadata": {},
   "source": [
    "# 变量选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7c36806-da5d-4c22-8806-416ffb535f0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 移除相关性低的变量\n",
    "data.drop(columns=['BloodPressure', 'SkinThickness', 'Insulin'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748f4dbc-e8c2-4e2d-b113-bdddff1311ec",
   "metadata": {},
   "source": [
    "# 训练 KNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ba50f873-a394-4a59-bf76-49e0072d28f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data.drop(columns=['Outcome']) \n",
    "y = data['Outcome']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33b5a996-1705-4e78-9dec-876c235df222",
   "metadata": {},
   "source": [
    "## 欠采样"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2eabde90-2d68-42ff-b0ac-0eb899cccb4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "# 因为数据不均衡，所以要进行欠采样。\n",
    "under_sampler = RandomUnderSampler(sampling_strategy='majority', random_state=42)\n",
    "X_train_resampled, y_train_resampled = under_sampler.fit_resample(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d509bc9-3b72-4199-8a47-62d784a9f1f2",
   "metadata": {},
   "source": [
    "## 训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b2bbb4ce-58f6-49ec-a061-6daad7904480",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "欠采样前最佳参数组合: {'n_neighbors': 23, 'p': 1}\n",
      "欠采样前最佳交叉验证得分: 0.7801679328268692\n",
      "欠采样前测试集准确率: 0.74\n",
      "欠采样前分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.83      0.80        99\n",
      "           1       0.65      0.58      0.62        55\n",
      "\n",
      "    accuracy                           0.74       154\n",
      "   macro avg       0.72      0.71      0.71       154\n",
      "weighted avg       0.74      0.74      0.74       154\n",
      "\n",
      "\n",
      "欠采样后模型训练：\n",
      "欠采样后最佳参数组合: {'n_neighbors': 10, 'p': 1}\n",
      "欠采样后最佳交叉验证得分: 0.7699316005471957\n",
      "欠采样后测试集准确率: 0.75\n",
      "欠采样后分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.85      0.74      0.79        99\n",
      "           1       0.62      0.76      0.68        55\n",
      "\n",
      "    accuracy                           0.75       154\n",
      "   macro avg       0.73      0.75      0.74       154\n",
      "weighted avg       0.77      0.75      0.75       154\n",
      "\n",
      "\n",
      "模型性能比较:\n",
      "欠采样前准确率: 0.74\n",
      "欠采样后准确率: 0.75\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/Caskroom/miniconda/base/envs/GPTSoVits/lib/python3.11/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast\n",
      "  _data = np.array(data, dtype=dtype, copy=copy,\n"
     ]
    }
   ],
   "source": [
    "# KNN模型\n",
    "knn = KNeighborsClassifier()\n",
    "\n",
    "# 定义参数搜索范围\n",
    "param_grid = {\n",
    "    'n_neighbors': np.arange(1, 100),  # 邻居个数从1到20\n",
    "    'p': [1, 2]  # 1是曼哈顿距离，2是欧几里得距离\n",
    "}\n",
    "\n",
    "grid_search = GridSearchCV(knn, param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# 输出最佳参数和最佳成绩\n",
    "print(\"欠采样前最佳参数组合:\", grid_search.best_params_)\n",
    "print(\"欠采样前最佳交叉验证得分:\", grid_search.best_score_)\n",
    "\n",
    "# 使用最佳参数训练并预测\n",
    "best_knn = grid_search.best_estimator_\n",
    "y_pred = best_knn.predict(X_test)\n",
    "\n",
    "# 评估模型\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(f\"欠采样前测试集准确率: {accuracy:.2f}\")\n",
    "\n",
    "# 输出分类报告\n",
    "print(\"欠采样前分类报告:\")\n",
    "print(classification_report(y_test, y_pred))\n",
    "\n",
    "\n",
    "# --- 欠采样后模型训练 ---\n",
    "print(\"\\n欠采样后模型训练：\")\n",
    "# KNN模型\n",
    "grid_search.fit(X_train_resampled, y_train_resampled)\n",
    "\n",
    "# 输出最佳参数和最佳成绩\n",
    "print(\"欠采样后最佳参数组合:\", grid_search.best_params_)\n",
    "print(\"欠采样后最佳交叉验证得分:\", grid_search.best_score_)\n",
    "\n",
    "# 使用最佳参数训练并预测\n",
    "best_knn = grid_search.best_estimator_\n",
    "y_pred_resampled = best_knn.predict(X_test)\n",
    "\n",
    "# 评估模型\n",
    "accuracy_resampled = accuracy_score(y_test, y_pred_resampled)\n",
    "print(f\"欠采样后测试集准确率: {accuracy_resampled:.2f}\")\n",
    "\n",
    "# 输出分类报告\n",
    "print(\"欠采样后分类报告:\")\n",
    "print(classification_report(y_test, y_pred_resampled))\n",
    "\n",
    "# --- 比较结果 ---\n",
    "print(\"\\n模型性能比较:\")\n",
    "print(f\"欠采样前准确率: {accuracy:.2f}\")\n",
    "print(f\"欠采样后准确率: {accuracy_resampled:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faaf33b4-976f-4457-8725-55e68a04912d",
   "metadata": {},
   "source": [
    "- 通过对比欠采样前后的 KNN 模型结果，发现欠采样对模型有所改进。欠采样前，模型的准确率为 0.74，糖尿病类别（类别 1）的召回率较低（0.58）。\n",
    "- 欠采样后，准确率提升至 0.75，糖尿病类别的召回率提高到 0.76，但精确率略微下降（从 0.65 降到 0.62）。\n",
    "- 欠采样提高了对糖尿病的识别能力，但也使得对非糖尿病类别的精确率有所下降。总的来说，欠采样改善了少数类的识别，但需要平衡精确率和召回率。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c37455c-362c-4b48-ae88-329e1b61c143",
   "metadata": {},
   "source": [
    "## 可视化网格搜索结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ffbca723-3199-4dcb-ba05-906e93c25524",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 提取GridSearchCV结果\n",
    "results = grid_search.cv_results_\n",
    "\n",
    "# 绘制折线图 - n_neighbors与准确率\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# 绘制不同的 p 值下，n_neighbors（K值）与准确率的关系\n",
    "for p_value in param_grid['p']:\n",
    "    # 获取对应 p 值下的 mean_test_score\n",
    "    scores = results['mean_test_score'][results['param_p'] == p_value]\n",
    "    plt.plot(param_grid['n_neighbors'], scores, label=f'p = {p_value}')\n",
    "\n",
    "plt.title('KNN Performance with Different n_neighbors and p Values')\n",
    "plt.xlabel('Number of Neighbors (n_neighbors)')\n",
    "plt.ylabel('Mean Test Accuracy')\n",
    "plt.legend(title=\"Distance Metric (p)\", loc='best')\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3b09173-41b4-4787-b564-df27b78f4a65",
   "metadata": {},
   "source": [
    "# 其他模型（SVM）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1fbbc9eb-9a3a-40f4-bdec-89daad41537d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 40 candidates, totalling 200 fits\n",
      "欠采样前最佳参数: {'C': 100, 'gamma': 'scale', 'kernel': 'rbf'}\n",
      "欠采样前测试集准确率: 0.76\n",
      "\n",
      "欠采样前分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.85      0.82        99\n",
      "           1       0.69      0.60      0.64        55\n",
      "\n",
      "    accuracy                           0.76       154\n",
      "   macro avg       0.74      0.72      0.73       154\n",
      "weighted avg       0.75      0.76      0.76       154\n",
      "\n",
      "Fitting 5 folds for each of 40 candidates, totalling 200 fits\n",
      "欠采样后最佳参数: {'C': 100, 'gamma': 'scale', 'kernel': 'rbf'}\n",
      "欠采样后测试集准确率: 0.73\n",
      "\n",
      "欠采样后分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.87      0.68      0.76        99\n",
      "           1       0.58      0.82      0.68        55\n",
      "\n",
      "    accuracy                           0.73       154\n",
      "   macro avg       0.73      0.75      0.72       154\n",
      "weighted avg       0.77      0.73      0.73       154\n",
      "\n",
      "\n",
      "模型性能比较:\n",
      "欠采样前准确率: 0.76\n",
      "欠采样后准确率: 0.73\n"
     ]
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "import numpy as np\n",
    "\n",
    "# 定义 SVM 模型\n",
    "svm = SVC(random_state=42)\n",
    "\n",
    "# 设置超参数搜索范围\n",
    "param_grid = {\n",
    "    'C': [0.1, 1, 10, 100],           # 正则化参数\n",
    "    'gamma': ['scale', 'auto', 0.1, 1, 10],  # 核函数的参数\n",
    "    'kernel': ['linear', 'rbf']       # 核函数类型\n",
    "}\n",
    "\n",
    "# 在欠采样前的训练数据上执行超参数搜索\n",
    "grid_search_before = GridSearchCV(svm, param_grid, cv=5, verbose=1, n_jobs=-1)\n",
    "grid_search_before.fit(X_train, y_train)\n",
    "\n",
    "# 输出欠采样前的最佳参数和模型表现\n",
    "print(f\"欠采样前最佳参数: {grid_search_before.best_params_}\")\n",
    "\n",
    "# 获取欠采样前的最佳模型并在测试集上做预测\n",
    "best_svm_before = grid_search_before.best_estimator_\n",
    "y_pred_before = best_svm_before.predict(X_test)\n",
    "\n",
    "# 评估欠采样前的模型\n",
    "accuracy_before = accuracy_score(y_test, y_pred_before)\n",
    "print(f\"欠采样前测试集准确率: {accuracy_before:.2f}\")\n",
    "print(\"\\n欠采样前分类报告:\")\n",
    "print(classification_report(y_test, y_pred_before))\n",
    "\n",
    "# 在欠采样后的训练数据上执行超参数搜索\n",
    "grid_search_after = GridSearchCV(svm, param_grid, cv=5, verbose=1, n_jobs=-1)\n",
    "grid_search_after.fit(X_train_resampled, y_train_resampled)\n",
    "\n",
    "# 输出欠采样后最佳参数和模型表现\n",
    "print(f\"欠采样后最佳参数: {grid_search_after.best_params_}\")\n",
    "\n",
    "# 获取欠采样后最佳模型并在测试集上做预测\n",
    "best_svm_after = grid_search_after.best_estimator_\n",
    "y_pred_after = best_svm_after.predict(X_test)\n",
    "\n",
    "# 评估欠采样后模型\n",
    "accuracy_after = accuracy_score(y_test, y_pred_after)\n",
    "print(f\"欠采样后测试集准确率: {accuracy_after:.2f}\")\n",
    "print(\"\\n欠采样后分类报告:\")\n",
    "print(classification_report(y_test, y_pred_after))\n",
    "\n",
    "# 比较欠采样前后的性能\n",
    "print(\"\\n模型性能比较:\")\n",
    "print(f\"欠采样前准确率: {accuracy_before:.2f}\")\n",
    "print(f\"欠采样后准确率: {accuracy_after:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8196802-18fa-433d-a401-746372dd3c9e",
   "metadata": {},
   "source": [
    "- 欠采样前后，SVM 模型的最佳参数选择一致，都是 {'C': 100, 'gamma': 'scale', 'kernel': 'rbf'}。\n",
    "- 欠采样前，模型的准确率为 0.76，表现较好，尤其是在区分非糖尿病（类别0）时，召回率为 0.85，精确率为 0.79。\n",
    "- 然而，在糖尿病的识别上，召回率较低，仅为 0.60，精确率为 0.69，表现较差。\n",
    "- 欠采样后，虽然糖尿病的召回率提高到 0.82，但整体准确率下降至 0.73，同时非糖尿病的召回率下降至 0.68，精确率提高至 0.87，导致精确率和召回率之间的不平衡。\n",
    "- 综上所述，欠采样改善了糖尿病类别的召回率，但也导致了非糖尿病类别的召回率下降，整体准确率有所下降。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d112dc43-ef0c-4b68-be68-465477778f52",
   "metadata": {},
   "source": [
    "## 模型比较"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5c2fec6-0d72-4ad6-8c32-b01d7c5a4e26",
   "metadata": {},
   "source": [
    "SVM 比 KNN 效果好，是因为 SVM 可以更好的拟合高维数据，并且 rbf 核可以更好的捕捉决策边界。"
   ]
  }
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