{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "55f686e4",
   "metadata": {},
   "source": [
    "# 第 6 章　支援向量機（SVM）— 實作 Notebook\n",
    "\n",
    "本 notebook 搭配網站「醫學生的機器學習入門」第 6 章。可直接在 Google Colab 執行（選單「執行階段 → 全部執行」），不需要安裝額外套件，也不需要下載資料（使用 scikit-learn 內建的 WDBC 乳癌資料集）。\n",
    "\n",
    "- 圖上的標籤用英文，是因為 Colab 預設沒有中文字型。\n",
    "- 醫學資料部分僅供學習，不構成臨床建議。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "957eb4f5",
   "metadata": {},
   "source": [
    "先印出套件版本。本教材以 Colab 現況（scikit-learn 1.6.x）為底線，也在較新版本測試過。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9c95db20",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:21.836814Z",
     "iopub.status.busy": "2026-09-29T20:02:21.836673Z",
     "iopub.status.idle": "2026-09-29T20:02:22.576382Z",
     "shell.execute_reply": "2026-09-29T20:02:22.576010Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.12.2\n",
      "numpy 2.1.3 | pandas 2.2.3 | scikit-learn 1.6.1\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(\"Python\", sys.version.split()[0])\n",
    "print(\"numpy\", np.__version__, \"| pandas\", pd.__version__, \"| scikit-learn\", sklearn.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2005eea",
   "metadata": {},
   "source": [
    "## 1. 先用 2D 玩具資料看直覺：C 與 gamma\n",
    "\n",
    "`make_moons` 產生兩個交錯的月牙形，是非線性邊界的經典範例。下面固定 RBF 核，改變 C（對越界的處罰）與 gamma（每個點的影響半徑），看決策邊界怎麼變。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fd4e98af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:22.577649Z",
     "iopub.status.busy": "2026-09-29T20:02:22.577561Z",
     "iopub.status.idle": "2026-09-29T20:02:23.056526Z",
     "shell.execute_reply": "2026-09-29T20:02:23.056184Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x700 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.inspection import DecisionBoundaryDisplay\n",
    "\n",
    "X_toy, y_toy = make_moons(n_samples=150, noise=0.3, random_state=42)\n",
    "\n",
    "fig, axes = plt.subplots(2, 3, figsize=(12, 7))\n",
    "for row, C in zip(axes, [1, 100]):\n",
    "    for ax, gamma in zip(row, [0.1, 1, 50]):\n",
    "        clf = SVC(kernel=\"rbf\", C=C, gamma=gamma).fit(X_toy, y_toy)\n",
    "        DecisionBoundaryDisplay.from_estimator(\n",
    "            clf, X_toy, response_method=\"predict\", cmap=\"coolwarm\", alpha=0.25, ax=ax)\n",
    "        ax.scatter(X_toy[:, 0], X_toy[:, 1], c=y_toy, cmap=\"coolwarm\", edgecolor=\"k\", s=20)\n",
    "        ax.set_title(f\"C={C}, gamma={gamma}, n_SV={clf.n_support_.sum()}\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5f053d9",
   "metadata": {},
   "source": [
    "gamma 愈大，邊界愈彎、愈會繞著個別點畫圈；C 愈大，模型愈不願意讓訓練點落在錯的一邊。右下角（C 與 gamma 都大）就是典型的過擬合。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4a4c41f",
   "metadata": {},
   "source": [
    "## 2. 載入 WDBC 乳癌資料\n",
    "\n",
    "569 位病人、30 個細胞核影像特徵。**注意 sklearn 的編碼：0 = malignant（惡性）、1 = benign（良性）**，和直覺相反，所以先印出 `target_names` 確認。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1926d476",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.057870Z",
     "iopub.status.busy": "2026-09-29T20:02:23.057762Z",
     "iopub.status.idle": "2026-09-29T20:02:23.063220Z",
     "shell.execute_reply": "2026-09-29T20:02:23.062934Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X shape: (569, 30)\n",
      "target_names: ['malignant', 'benign']\n",
      "target\n",
      "benign       357\n",
      "malignant    212\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "from sklearn.datasets import load_breast_cancer\n",
    "\n",
    "data = load_breast_cancer(as_frame=True)\n",
    "X, y = data.data, data.target\n",
    "print(\"X shape:\", X.shape)\n",
    "print(\"target_names:\", data.target_names.tolist())  # index 0 = malignant, 1 = benign\n",
    "print(y.map(dict(enumerate(data.target_names.tolist()))).value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7167d4ab",
   "metadata": {},
   "source": [
    "先切出測試集，之後所有調整都只在訓練集上做。`stratify=y` 讓兩邊的惡性比例一致。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b74e89d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.064368Z",
     "iopub.status.busy": "2026-09-29T20:02:23.064315Z",
     "iopub.status.idle": "2026-09-29T20:02:23.066924Z",
     "shell.execute_reply": "2026-09-29T20:02:23.066647Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "426 train / 143 test\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, test_size=0.25, stratify=y, random_state=42)\n",
    "print(len(X_train), \"train /\", len(X_test), \"test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35247ca7",
   "metadata": {},
   "source": [
    "## 3. 故意做錯：不標準化直接丟進 SVM\n",
    "\n",
    "WDBC 的 `worst area` 可以到幾千，`mean smoothness` 只有零點幾。SVM 靠「距離」運作，尺度大的特徵會主導一切。比較一下有沒有 `StandardScaler` 的差別。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "346c967b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.067968Z",
     "iopub.status.busy": "2026-09-29T20:02:23.067912Z",
     "iopub.status.idle": "2026-09-29T20:02:23.074636Z",
     "shell.execute_reply": "2026-09-29T20:02:23.074288Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No scaling  : test accuracy = 0.923\n",
      "With scaling: test accuracy = 0.979\n"
     ]
    }
   ],
   "source": [
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "raw = SVC().fit(X_train, y_train)\n",
    "scaled = make_pipeline(StandardScaler(), SVC()).fit(X_train, y_train)\n",
    "print(f\"No scaling  : test accuracy = {raw.score(X_test, y_test):.3f}\")\n",
    "print(f\"With scaling: test accuracy = {scaled.score(X_test, y_test):.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bd20025",
   "metadata": {},
   "source": [
    "標準化放在 `Pipeline` 裡，交叉驗證時每一折都只用該折的訓練資料算平均與標準差，避免資料洩漏。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4b4ca03",
   "metadata": {},
   "source": [
    "## 4. 比較三種核函數\n",
    "\n",
    "用訓練集做 5 折交叉驗證，比較 linear、poly、rbf 三種核（其他參數用預設值）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7f34352e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.075742Z",
     "iopub.status.busy": "2026-09-29T20:02:23.075666Z",
     "iopub.status.idle": "2026-09-29T20:02:23.108511Z",
     "shell.execute_reply": "2026-09-29T20:02:23.108171Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear: CV accuracy 0.972 ± 0.012\n",
      "  poly: CV accuracy 0.894 ± 0.036\n",
      "   rbf: CV accuracy 0.967 ± 0.005\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "\n",
    "cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)\n",
    "for kernel in [\"linear\", \"poly\", \"rbf\"]:\n",
    "    model = make_pipeline(StandardScaler(), SVC(kernel=kernel))\n",
    "    scores = cross_val_score(model, X_train, y_train, cv=cv)\n",
    "    print(f\"{kernel:>6}: CV accuracy {scores.mean():.3f} ± {scores.std():.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "426c0a5d",
   "metadata": {},
   "source": [
    "linear 與 rbf 的分數很接近（差距在標準差範圍內），poly（預設 degree=3）明顯較低。在這份資料上，線性核已經很夠用；「核函數愈複雜愈好」並不成立。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5f71b57",
   "metadata": {},
   "source": [
    "## 5. 支援向量有幾個？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "34a7229a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.109690Z",
     "iopub.status.busy": "2026-09-29T20:02:23.109635Z",
     "iopub.status.idle": "2026-09-29T20:02:23.111450Z",
     "shell.execute_reply": "2026-09-29T20:02:23.111103Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Support vectors per class: {'malignant': 50, 'benign': 46}\n",
      "Total: 96 of 426 training samples\n"
     ]
    }
   ],
   "source": [
    "svc = scaled.named_steps[\"svc\"]\n",
    "print(\"Support vectors per class:\", dict(zip(data.target_names.tolist(), svc.n_support_.tolist())))\n",
    "print(\"Total:\", svc.n_support_.sum(), \"of\", len(X_train), \"training samples\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51b3f0ef",
   "metadata": {},
   "source": [
    "## 6. 用 GridSearchCV 找 C 與 gamma（第 11 章會細講）\n",
    "\n",
    "`svc__C` 的寫法是「Pipeline 裡名叫 svc 的步驟的 C 參數」。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0ccc83b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.112400Z",
     "iopub.status.busy": "2026-09-29T20:02:23.112335Z",
     "iopub.status.idle": "2026-09-29T20:02:23.315339Z",
     "shell.execute_reply": "2026-09-29T20:02:23.315003Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best params: {'svc__C': 10, 'svc__gamma': 0.001}\n",
      "Best CV accuracy: 0.974\n",
      "Test accuracy   : 0.979\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = {\"svc__C\": [0.1, 1, 10, 100], \"svc__gamma\": [0.001, 0.01, 0.1, 1]}\n",
    "search = GridSearchCV(make_pipeline(StandardScaler(), SVC()), param_grid, cv=cv)\n",
    "search.fit(X_train, y_train)\n",
    "print(\"Best params:\", search.best_params_)\n",
    "print(f\"Best CV accuracy: {search.best_score_:.3f}\")\n",
    "print(f\"Test accuracy   : {search.score(X_test, y_test):.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b80e0c1",
   "metadata": {},
   "source": [
    "把 16 組參數的交叉驗證分數排成表，可以看到 gamma 太大（1）時分數明顯掉下來。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "45ef304d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.316590Z",
     "iopub.status.busy": "2026-09-29T20:02:23.316521Z",
     "iopub.status.idle": "2026-09-29T20:02:23.320902Z",
     "shell.execute_reply": "2026-09-29T20:02:23.320498Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "param_svc__gamma  0.001  0.010  0.100  1.000\n",
      "param_svc__C                                \n",
      "0.1               0.706  0.948  0.944  0.627\n",
      "1.0               0.946  0.965  0.960  0.631\n",
      "10.0              0.974  0.972  0.946  0.631\n",
      "100.0             0.970  0.963  0.946  0.631\n"
     ]
    }
   ],
   "source": [
    "res = pd.DataFrame(search.cv_results_)\n",
    "table = res.pivot_table(index=\"param_svc__C\", columns=\"param_svc__gamma\", values=\"mean_test_score\")\n",
    "print(table.round(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40b8fc51",
   "metadata": {},
   "source": [
    "## 7. 混淆矩陣：惡性漏掉幾個？\n",
    "\n",
    "臨床上最在意的是把惡性判成良性（偽陰性）。`classification_report` 裡 malignant 那一列的 recall 就是「惡性的敏感度」。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e82e00e2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.322018Z",
     "iopub.status.busy": "2026-09-29T20:02:23.321950Z",
     "iopub.status.idle": "2026-09-29T20:02:23.356117Z",
     "shell.execute_reply": "2026-09-29T20:02:23.355753Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "   malignant      0.981     0.962     0.971        53\n",
      "      benign      0.978     0.989     0.983        90\n",
      "\n",
      "    accuracy                          0.979       143\n",
      "   macro avg      0.979     0.976     0.977       143\n",
      "weighted avg      0.979     0.979     0.979       143\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n",
    "\n",
    "best = search.best_estimator_\n",
    "y_pred = best.predict(X_test)\n",
    "print(classification_report(y_test, y_pred, target_names=data.target_names, digits=3))\n",
    "ConfusionMatrixDisplay.from_predictions(\n",
    "    y_test, y_pred, display_labels=data.target_names, cmap=\"Greens\")\n",
    "plt.title(\"SVM on WDBC test set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f87fb169",
   "metadata": {},
   "source": [
    "## 8. SVM 的「分數」不是機率\n",
    "\n",
    "`decision_function` 給的是「離邊界多遠」（有正負號），不是機率。在這份資料，正值偏向 benign（類別 1）、負值偏向 malignant（類別 0）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8f937fdb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.357406Z",
     "iopub.status.busy": "2026-09-29T20:02:23.357339Z",
     "iopub.status.idle": "2026-09-29T20:02:23.360080Z",
     "shell.execute_reply": "2026-09-29T20:02:23.359764Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "decision_function: [ 1.04 -2.06  0.19  0.79  0.05]\n",
      "true labels      : ['benign', 'malignant', 'benign', 'benign', 'malignant']\n"
     ]
    }
   ],
   "source": [
    "print(\"decision_function:\", best.decision_function(X_test.iloc[:5]).round(2))\n",
    "print(\"true labels      :\", y_test.iloc[:5].map(dict(enumerate(data.target_names.tolist()))).tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4ea2a69",
   "metadata": {},
   "source": [
    "真的需要機率時，用 `CalibratedClassifierCV` 另外做校準（不要用已被標為即將移除的 `SVC(probability=True)`）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "81e3a956",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-09-29T20:02:23.361139Z",
     "iopub.status.busy": "2026-09-29T20:02:23.361078Z",
     "iopub.status.idle": "2026-09-29T20:02:23.380901Z",
     "shell.execute_reply": "2026-09-29T20:02:23.380567Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P(malignant): [0.06  0.999 0.471 0.123 0.577]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.calibration import CalibratedClassifierCV\n",
    "\n",
    "calibrated = CalibratedClassifierCV(search.best_estimator_, ensemble=False, cv=5)\n",
    "calibrated.fit(X_train, y_train)\n",
    "proba_malignant = calibrated.predict_proba(X_test.iloc[:5])[:, 0]\n",
    "print(\"P(malignant):\", proba_malignant.round(3))"
   ]
  },
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    "## 動手試試\n",
    "\n",
    "1. 在第 1 節把 `gamma` 改成 `[0.01, 5, 200]`，觀察邊界怎麼從「一條直線」變成「一顆顆小島」；再把 C 改成 0.01 看看支援向量數量。\n",
    "2. 在第 6 節的 `SVC()` 裡加上 `class_weight=\"balanced\"`，重新跑第 6、7 節，比較 malignant 的 recall 有沒有變化。\n",
    "3. 把第 4 節的 `StandardScaler()` 拿掉（直接 `SVC(kernel=kernel)`），看看哪一種核受影響最大。提示：linear 核在未標準化時可能跑很久，可先只試 rbf。"
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