{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align:center\">\n",
    "    <a href=\"https://nbviewer.jupyter.org/github/twMr7/Python-Machine-Learning/blob/master/16-Hyperparameter_Search_and_Feature_Selection_with_Scikit.ipynb\">\n",
    "        Open In Jupyter nbviewer\n",
    "        <img style=\"float: center;\" src=\"https://nbviewer.jupyter.org/static/img/nav_logo.svg\" width=\"120\" />\n",
    "    </a>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/twMr7/Python-Machine-Learning/blob/master/16-Hyperparameter_Search_and_Feature_Selection_with_Scikit.ipynb)\n",
    "\n",
    "# 16. Hyperparameter Search and Feature Selection with Scikit\n",
    "\n",
    "前一章的內容裡介紹了建立機器學習模型的基本流程,透過這些必要步驟可以建構出一個足供基準(baseline)評估的框架。 在實務上,模型需要調整不同的超參數來找到最適合的,減少輸入的特徵通常也有助於模型的泛化能力。\n",
    "\n",
    "+ [**16.1 超參數搜尋 Hyperparameter Search**](#hyperparameter-search)\n",
    "+ [**16.2 特徵選取 Feature Selection**](#feature-selection)\n",
    "+ [**參考資料**](#references)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 基本環境設定\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-darkgrid')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Breast Cancer Wisconsin 資料集\n",
    "\n",
    "沿續前幾章所用的同一個資料集,僅有些許改變:\n",
    "+ 檔案來源是已經加上欄位資訊的 .csv 檔。\n",
    "+ 在特徵選取的單元,我們會希望觀察選取結果是那些欄位,所以回傳的訓練集和測試集不轉成 numpy 的 `ndarray`,直接是 pandas 的 `DataFrame` 或 `Series` 類型,scikit-learn 的工具照樣可以接受。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 以下範例使用之前章節用過的 WDBC 資料集\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "class WdbcDataset:\n",
    "    def __init__(self):\n",
    "        # 載入備份的 WDBC (Wisconsin Diagnostic Breast Cancer) 資料集\n",
    "        my_wdbc_url = 'https://github.com/twMr7/Python-Machine-Learning/raw/master/dataset/BreastCancerWisconsin/wdbc.csv'\n",
    "        # 這個備份的 csv 檔案已經有加上欄位標籤了\n",
    "        self.df = pd.read_csv(my_wdbc_url, header=0)\n",
    "        # 丟掉不需要的 \"id\" 欄位\n",
    "        self.df.drop(columns=['id'], inplace=True)\n",
    "        # 將 diagnosis 欄位良性與惡性的類別轉為 0 與 1\n",
    "        self.df.loc[:,'diagnosis'] = self.df.loc[:,'diagnosis'].map({'B':0, 'M':1})\n",
    "    \n",
    "    def get_xy(self):\n",
    "        # 取所有的 X\n",
    "        X = self.df.drop(columns=['diagnosis'])\n",
    "        # 取所有的 Y\n",
    "        Y = self.df.loc[:,'diagnosis']\n",
    "        # 資料分割 train:test = 9:1\n",
    "        X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.1, stratify=Y)\n",
    "        # 回傳資料副本\n",
    "        return X_train.copy(), X_test.copy(), Y_train.copy(), Y_test.copy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X: train shape = (512, 30), test shape = (57, 30)\n",
      "Y: train shape = (512,), test shape = (57,)\n",
      "Train classes and counts:\n",
      "0    321\n",
      "1    191\n",
      "Name: diagnosis, dtype: int64\n",
      "Test classes and counts:\n",
      "0    36\n",
      "1    21\n",
      "Name: diagnosis, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 取得訓練集與測試集\n",
    "dsWdbc = WdbcDataset()\n",
    "# NOTE: 回傳的維持是 DataFrame 與 Series 的類型\n",
    "X_train, X_test, Y_train, Y_test = dsWdbc.get_xy()\n",
    "\n",
    "# 顯示切割後的大小\n",
    "print('X: train shape = {}, test shape = {}'.format(X_train.shape, X_test.shape))\n",
    "print('Y: train shape = {}, test shape = {}'.format(Y_train.shape, Y_test.shape))\n",
    "\n",
    "# 顯示切割後的類別分布\n",
    "print('Train classes and counts:\\n{}'.format(Y_train.value_counts()))\n",
    "print('Test classes and counts:\\n{}'.format(Y_test.value_counts()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"hyperparameter-search\"></a>\n",
    "\n",
    "## 16.1 超參數搜尋 Hyperparameter Search\n",
    "\n",
    "不同的學習演算法有不同的超參數。 同一個學習演算法,使用不同超參數組合訓練出來的模型,效能表現大多不相同。 先前提過交叉驗證的目的是為了找出適合的超參數,k-fold 的資料分割交互使用流程有工具方便自動處理,而超參數組合的數量是比 k-fold 更龐大的等級,我們同樣會希望有適合的工具來協助完成搜尋的流程。 Scikit-Learn 在 [`sklearn.model_selection`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection) 模組提供了以下常用的工具:\n",
    "\n",
    "+ [**`ParameterGrid`**](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html) - 由超參數清單生成可供迭代的所有超參數組合。\n",
    "+ [**`GridSearchCV`**](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html) - \" *我全都要* \" 的所有組合暴力搜尋,每組超參數都會使用交叉驗證的機制進行訓練。\n",
    "+ [**`RandomizedSearchCV`**](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html) - 由超參數清單或機率分布中,隨機選取指定搜尋次數的組合。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Type of ParameterGrid object = <class 'sklearn.model_selection._search.ParameterGrid'>\n",
      "Number of combinations = 30\n",
      "#0: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'newton-cg'}\n",
      "#1: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'sag'}\n",
      "#2: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}\n",
      "#3: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'newton-cg'}\n",
      "#4: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'sag'}\n",
      "#5: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}\n",
      "#6: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'newton-cg'}\n",
      "#7: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'sag'}\n",
      "#8: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}\n",
      "#9: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'newton-cg'}\n",
      "#10: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'sag'}\n",
      "#11: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}\n",
      "#12: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'newton-cg'}\n",
      "#13: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'sag'}\n",
      "#14: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'lbfgs'}\n",
      "#15: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "#16: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'saga'}\n",
      "#17: {'max_iter': 300, 'n_jobs': -1, 'penalty': 'elasticnet', 'solver': 'saga'}\n",
      "#18: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "#19: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'saga'}\n",
      "#20: {'max_iter': 200, 'n_jobs': -1, 'penalty': 'elasticnet', 'solver': 'saga'}\n",
      "#21: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "#22: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'saga'}\n",
      "#23: {'max_iter': 100, 'n_jobs': -1, 'penalty': 'elasticnet', 'solver': 'saga'}\n",
      "#24: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "#25: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'saga'}\n",
      "#26: {'max_iter': 90, 'n_jobs': -1, 'penalty': 'elasticnet', 'solver': 'saga'}\n",
      "#27: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'l1', 'solver': 'saga'}\n",
      "#28: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'l2', 'solver': 'saga'}\n",
      "#29: {'max_iter': 80, 'n_jobs': -1, 'penalty': 'elasticnet', 'solver': 'saga'}\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import ParameterGrid\n",
    "\n",
    "# hyperparameters for LogisticRegression\n",
    "hyparam_list = [{\n",
    "    'solver': ['newton-cg', 'sag', 'lbfgs'],\n",
    "    'penalty': ['l2'],\n",
    "    'max_iter': [300, 200, 100, 90, 80],\n",
    "    'n_jobs': [-1]\n",
    "}, {\n",
    "    'solver': ['saga'],\n",
    "    'penalty': ['l1', 'l2', 'elasticnet'],\n",
    "    'max_iter': [300, 200, 100, 90, 80],\n",
    "    'n_jobs': [-1]\n",
    "}]\n",
    "\n",
    "hyparam_grid = ParameterGrid(hyparam_list)\n",
    "print('Type of ParameterGrid object =', type(hyparam_grid))\n",
    "print('Number of combinations =', len(list(hyparam_grid)))\n",
    "for n,p in enumerate(hyparam_grid):\n",
    "    print('#{}: {}'.format(n, p))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### § 練習\n",
    "\n",
    "請根據以上範例,練習運用 `ParameterGrid` 迭代所有的超參數組合,找出最適合模型的超參數。\n",
    "\n",
    "1. 造出所需的超參數清單,用來生出 `ParameterGrid` 物件,對該物件迭代。\n",
    "2. 迴圈裡建構你的 Pipeline 物件,使用 Pipeline.set_params() 方法,套用該次迭代的超參數。\n",
    "3. 定義 metrics scores 。\n",
    "4. 使用 Cross_Validate 交叉驗證。\n",
    "5. 將每次的 score 記錄下來。\n",
    "6. 迭代結束後找出最佳的 score 及對應的超參數。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### § 使用方便的 `GridSearchCV` 工具\n",
    "\n",
    "Scikit-Learn 將繁雜的流程包裝成 `GridSearchCV` 跟 `RandomizedSearchCV` 類別,只需要設計好 Pipeline,準備好對應的超參數清單就可以開始搜尋了。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import warnings\n",
    "from sklearn.model_selection import (\n",
    "    StratifiedKFold,\n",
    "    ParameterGrid,\n",
    "    GridSearchCV,\n",
    "    RandomizedSearchCV\n",
    ")\n",
    "from sklearn.metrics import (\n",
    "    make_scorer,\n",
    "    accuracy_score,\n",
    "    recall_score,\n",
    "    roc_auc_score\n",
    ")\n",
    "\n",
    "def bclass_hyparam_search(classifier, X, y, hyparams=list(), randomize=True):\n",
    "    \"\"\"Hyperparmaeter search for binary classification\n",
    "    \"\"\"\n",
    "    combo_scores = {\n",
    "        'roc_auc': make_scorer(roc_auc_score),\n",
    "        'accuracy': make_scorer(accuracy_score),\n",
    "        'sensitivity': make_scorer(recall_score, pos_label=1),\n",
    "        'specificity': make_scorer(recall_score, pos_label=0)\n",
    "    }\n",
    "\n",
    "    if randomize: \n",
    "        len_of_grid = len(list(ParameterGrid(hyparams)))\n",
    "        hypsearch = RandomizedSearchCV(\n",
    "            classifier,\n",
    "            param_distributions=hyparams,\n",
    "            n_iter=int(len_of_grid * 0.25),\n",
    "            scoring=combo_scores,\n",
    "            refit='roc_auc',\n",
    "            cv=StratifiedKFold(n_splits=10, shuffle=True),\n",
    "            n_jobs=5,\n",
    "            verbose=1\n",
    "        )\n",
    "    else:\n",
    "        hypsearch = GridSearchCV(\n",
    "            classifier,\n",
    "            param_grid=hyparams,\n",
    "            scoring=combo_scores,\n",
    "            refit='roc_auc',\n",
    "            cv=StratifiedKFold(n_splits=10, shuffle=True),\n",
    "            n_jobs=5,\n",
    "            verbose=1\n",
    "        )\n",
    "    # 參數搜尋很花時間,輸出開始與結束時間供參考\n",
    "    print('[{}] hypsearch begin.'.format(time.strftime('%Y-%m-%d %H:%M:%S')), flush=True)\n",
    "    with warnings.catch_warnings():\n",
    "        warnings.simplefilter(\"ignore\")\n",
    "        # 計時開始\n",
    "        t_start = time.time()\n",
    "        hypsearch.fit(X, y)\n",
    "    print('[{}] hypsearch done in {:.3f} seconds.'.format(time.strftime('%Y-%m-%d %H:%M:%S'), time.time() - t_start))\n",
    "    return hypsearch\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### § 定義超參數清單\n",
    "\n",
    "學習模型的演算法通常提供不少超參數可以調整,許多連續數值的超參數通常接受設定相當大的值域範圍。 這使得可以搜尋的空間相當大,我們不可能窮盡搜尋所有組合,一個常用的策略是:\n",
    "1. 以該模型建議的預設值為中間基準值。\n",
    "2. 先進行**大範圍搜尋**。 例如預設值為 1,先列出上下大範圍的清單如 [10000, 100, 1, 0.01, 0.0001]。\n",
    "3. 由大範圍的搜尋結果,決定下次縮小的搜尋範圍。 例如偏向比預設值大的結果比較好,或許可搜尋 [10000, 5000, 1000, 500, 100]。\n",
    "4. 收斂到可接受的分數時,將該組參數訓練的最佳模型進行測試集的測試,記錄測試結果。\n",
    "5. **反覆縮小搜尋範圍**,直到滿意最佳的預測效能。\n",
    "\n",
    "上述中,什麼範圍算是大或小,要由模型演算法對超參數的定義來決定。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# the classifier\n",
    "blrpipe = Pipeline(\n",
    "    steps=[\n",
    "        ('zscaler', StandardScaler()),\n",
    "        ('blr', LogisticRegression())\n",
    "    ]\n",
    ")\n",
    "\n",
    "# hyperparameter searching space for LogisticRegression\n",
    "hyparam_list = [{\n",
    "    'blr__solver': ['newton-cg', 'sag', 'lbfgs'],\n",
    "    'blr__penalty': ['l2', 'none'],\n",
    "    'blr__tol': [1e-3, 1e-4, 1e-5],\n",
    "    'blr__C': [1e+2, 1.0, 1e-2],\n",
    "    'blr__max_iter': [300, 100, 80],\n",
    "    'blr__n_jobs': [-1]\n",
    "}, {\n",
    "    'blr__solver': ['saga'],\n",
    "    'blr__penalty': ['l1', 'l2', 'elasticnet', 'none'],\n",
    "    'blr__tol': [1e-3, 1e-4, 1e-5],\n",
    "    'blr__C': [1e+2, 1.0, 1e-2],\n",
    "    'blr__max_iter': [300, 100, 80],\n",
    "    'blr__n_jobs': [-1]\n",
    "}]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-05-05 22:40:14] hypsearch begin.\n",
      "Fitting 10 folds for each of 270 candidates, totalling 2700 fits\n",
      "[2021-05-05 22:40:45] hypsearch done in 30.795 seconds.\n",
      "Hyperparameter grid search result:\n",
      "  * best index: 210\n",
      "  * best parameters: {'blr__C': 1.0, 'blr__max_iter': 100, 'blr__n_jobs': -1, 'blr__penalty': 'l1', 'blr__solver': 'saga', 'blr__tol': 0.001}\n",
      "  * best score: 0.977\n",
      "  * validate_roc_auc: 0.977\n",
      "  * validate_accuracy: 0.981\n",
      "  * validate_sensitivity: 0.963\n",
      "  * validate_specificity: 0.991\n"
     ]
    }
   ],
   "source": [
    "# use grid search\n",
    "blr_hsgrid = bclass_hyparam_search(blrpipe, X_train, Y_train, hyparams=hyparam_list, randomize=False)\n",
    "\n",
    "# 搜尋完的結果都記錄在 GridSearchCV 物件的屬性中\n",
    "print('Hyperparameter grid search result:\\n  * best index: {}\\n  * best parameters: {}\\n  * best score: {:.3f}'.format(\n",
    "    blr_hsgrid.best_index_, blr_hsgrid.best_params_, blr_hsgrid.best_score_))\n",
    "\n",
    "# 輸出最佳得分,把 \"mean_test\" 字串換成 \"validate\" ,目的是為了記錄成日誌時,避免跟實際與測試集測試的 test score 搞混。\n",
    "for k in ['mean_test_roc_auc','mean_test_accuracy','mean_test_sensitivity','mean_test_specificity']:\n",
    "    print('  * {}: {:.3f}'.format(k.replace('mean_test','validate'), blr_hsgrid.cv_results_[k][blr_hsgrid.best_index_]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### § 將結果輸出成檔案\n",
    "\n",
    "超參數的搜尋通常也不會只做一次,實驗的過程要記錄下來,最重要的就是當次搜尋的最佳結果(`GridSearchCV.best_score_`)、最佳模型`GridSearchCV.best_estimator_`)、以及所有超參數組合的交叉驗證結果(`GridSearchCV.cv_results_`)。\n",
    "\n",
    "`best_estimator_` 就是範例中使用 `Pipeline` 定義的模型,可以用 `pickle` 輸出成檔案。 `cv_results_` 是 `dict` 型態,非常適合轉成 `DataFrame` 觀察及輸出成 CSV 檔。 以下範例示範這樣的檔案操作。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-05-05 22:42:34] hypsearch begin.\n",
      "Fitting 10 folds for each of 67 candidates, totalling 670 fits\n",
      "[2021-05-05 22:42:41] hypsearch done in 6.837 seconds.\n",
      "Hyperparameter random search result:\n",
      "  * best index: 56\n",
      "  * best parameters: {'blr__tol': 0.0001, 'blr__solver': 'saga', 'blr__penalty': 'l1', 'blr__n_jobs': -1, 'blr__max_iter': 80, 'blr__C': 1.0}\n",
      "  * best score: 0.979\n",
      "  * validate_roc_auc: 0.979\n",
      "  * validate_accuracy: 0.983\n",
      "  * validate_sensitivity: 0.964\n",
      "  * validate_specificity: 0.994\n",
      "Hyperparameter random search result logged to file: blr-hypsearch-random-20210505-224241.csv\n",
      "The best model pickled to file: blr-hypsearch-random-20210505-224241.pickle\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "\n",
    "# use random search\n",
    "blr_hsrand = bclass_hyparam_search(blrpipe, X_train, Y_train, hyparams=hyparam_list, randomize=True)\n",
    "\n",
    "print('Hyperparameter random search result:\\n  * best index: {}\\n  * best parameters: {}\\n  * best score: {:.3f}'.format(\n",
    "    blr_hsrand.best_index_, blr_hsrand.best_params_, blr_hsrand.best_score_))\n",
    "for k in ['mean_test_roc_auc','mean_test_accuracy','mean_test_sensitivity','mean_test_specificity']:\n",
    "    print('  * {}: {:.3f}'.format(k.replace('mean_test','validate'), blr_hsrand.cv_results_[k][blr_hsrand.best_index_]))\n",
    "\n",
    "# save the result and tag with current datetime\n",
    "jobid = time.strftime('%Y%m%d-%H%M%S')\n",
    "\n",
    "# log result to file\n",
    "dfresult = pd.DataFrame(blr_hsrand.cv_results_)\n",
    "log_file = 'blr-hypsearch-random-{}.csv'.format(jobid)\n",
    "dfresult.to_csv(log_file, index=False)\n",
    "print('Hyperparameter random search result logged to file: {}'.format(log_file))\n",
    "\n",
    "# save the best model to file\n",
    "model_file = 'blr-hypsearch-random-{}.pickle'.format(jobid)\n",
    "with open(model_file, 'wb') as f:\n",
    "    pickle.dump(blr_hsrand.best_estimator_, f, pickle.HIGHEST_PROTOCOL)\n",
    "print('The best model pickled to file: {}'.format(model_file))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "\n",
    "def rocauc_ci_bootstrap(classifier, X, y, n_samples=1000):\n",
    "    \"\"\"estimate the 95% confidence interval by bootstrapping the ROC AUC\n",
    "    \"\"\"\n",
    "    if isinstance(X, pd.DataFrame):\n",
    "        X = X.to_numpy()\n",
    "    if isinstance(y, pd.Series):\n",
    "        y = y.to_numpy()\n",
    "\n",
    "    scores = []\n",
    "    bootstrap = StratifiedShuffleSplit(n_splits=n_samples, test_size=0.8)\n",
    "    # note that model is not re-trained\n",
    "    for _, test_index in bootstrap.split(X, y):\n",
    "        y_proba = classifier.predict_proba(X[test_index,:])[:,1]\n",
    "        score = roc_auc_score(y[test_index], y_proba)\n",
    "        scores.append(score)\n",
    "    # the 95% CI\n",
    "    return np.percentile(scores, (2.5, 97.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Confusion Matrix]:\n",
      "  | TP: 20 | FP: 0 |\n",
      "  | FN: 1 | TN: 36 |\n",
      "\n",
      "[Testing Scores]:\n",
      "  * Sensitivity: 0.952\n",
      "  * Specificity: 1.000\n",
      "  * Accuracy: 0.982\n",
      "  * ROC AUC : 1.000, 95% CI = (1.000, 1.000)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "# Load the best model back and test it\n",
    "with open(model_file, 'rb') as f:\n",
    "    blr_hsrand_model = pickle.load(f)\n",
    "\n",
    "# predict with test set\n",
    "Y_predict = blr_hsrand_model.predict(X_test)\n",
    "\n",
    "# confusion matrix\n",
    "TN, FP, FN, TP = confusion_matrix(Y_test, Y_predict).ravel()\n",
    "print('[Confusion Matrix]:\\n  | TP: {} | FP: {} |\\n  | FN: {} | TN: {} |\\n'.format(TP, FP, FN, TN))\n",
    "\n",
    "# sensitivity and specificity\n",
    "sensitivity = recall_score(Y_test, Y_predict, pos_label=1)\n",
    "print('[Testing Scores]:\\n  * Sensitivity: {:.3f}'.format(sensitivity))\n",
    "specificity = recall_score(Y_test, Y_predict, pos_label=0)\n",
    "print('  * Specificity: {:.3f}'.format(specificity))\n",
    "# accuracy and ROC AUC\n",
    "accuracy = accuracy_score(Y_test, Y_predict)\n",
    "print('  * Accuracy: {:.3f}'.format(accuracy))\n",
    "rocauc = roc_auc_score(Y_test, blr_hsrand_model.predict_proba(X_test)[:,1])\n",
    "rocauc_ci = rocauc_ci_bootstrap(blr_hsrand_model, X_test, Y_test)\n",
    "print('  * ROC AUC : {:.3f}, 95% CI = ({:.3f}, {:.3f})'.format(rocauc, rocauc_ci[0], rocauc_ci[1]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(y, y_predict):\n",
    "    \"\"\"utility to plot confusion matrix\n",
    "    \"\"\"\n",
    "    n_classes = np.unique(y)\n",
    "    class_labels = ['Class'+str(int(n)) for n in reversed(n_classes)]\n",
    "    confusion_table = pd.DataFrame(np.fliplr(np.rot90(confusion_matrix(y, y_predict))),\n",
    "                                   index=class_labels,\n",
    "                                   columns=class_labels)   \n",
    "    plt.figure(figsize=(8, 6))\n",
    "    ax = sns.heatmap(confusion_table, fmt='d', cmap='RdYlBu', alpha=0.9, vmin=0, annot=True, annot_kws={\"fontsize\": 14})    \n",
    "    ax.set_title('True label', fontsize=14)\n",
    "    ax.set_ylabel('Predicted label', fontsize=14)\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 畫出二元分類的 confusion matrix\n",
    "plot_confusion_matrix(Y_test, Y_predict)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"feature-selection\"></a>\n",
    "\n",
    "## 16.2 特徵選取 Feature Selection\n",
    "\n",
    "Scikit-Learn 在 [`sklearn.feature_selection`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.feature_selection) 模組提供了以下常用的工具:\n",
    "\n",
    "+ [**`chi2()`**](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html) - 統計指標卡方檢定($\\chi^{2}$ test),適用於離散類別型的特徵。\n",
    "+ [**`f_classif()`**](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html) - 統計上變異數分析(ANOVA)的 $F$ 檢定用於分類模型。\n",
    "+ [**`f_regression()`**](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html) - 統計上變異數分析(ANOVA)的 $F$ 檢定用於回歸模型。\n",
    "+ [**`mutual_info_classif()`**](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html) - mutual information 用於分類模型。\n",
    "+ [**`mutual_info_classif()`**](https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html) - mutual information 用於回歸模型。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 為了檢視特徵套用不同度量指標的結果,先做正規化\n",
    "#zscale = lambda col: (col - col.mean()) / col.std()\n",
    "minmax_scale = lambda col: (col - col.min()) / (col.max() - col.min())\n",
    "\n",
    "X_train01 = X_train.apply(minmax_scale, axis=0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_selection import chi2, f_classif, mutual_info_classif\n",
    "\n",
    "wdbc_chi2, chi2_pvalue = chi2(X_train01, Y_train)\n",
    "wdbc_fstat, fstat_pvalue = f_classif(X_train01, Y_train)\n",
    "wdbc_mi = mutual_info_classif(X_train01, Y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>χ²</th>\n",
       "      <th>χ² p-value</th>\n",
       "      <th>ANOVA f</th>\n",
       "      <th>ANOVA f p-value</th>\n",
       "      <th>Mutual Information</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>radius_mean</th>\n",
       "      <td>21.947031</td>\n",
       "      <td>2.802802e-06</td>\n",
       "      <td>563.290833</td>\n",
       "      <td>1.925850e-84</td>\n",
       "      <td>0.360890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>texture_mean</th>\n",
       "      <td>6.700800</td>\n",
       "      <td>9.636964e-03</td>\n",
       "      <td>110.702638</td>\n",
       "      <td>1.457338e-23</td>\n",
       "      <td>0.102675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>perimeter_mean</th>\n",
       "      <td>23.463141</td>\n",
       "      <td>1.273300e-06</td>\n",
       "      <td>607.719602</td>\n",
       "      <td>6.096234e-89</td>\n",
       "      <td>0.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area_mean</th>\n",
       "      <td>25.933519</td>\n",
       "      <td>3.533795e-07</td>\n",
       "      <td>496.769071</td>\n",
       "      <td>2.419594e-77</td>\n",
       "      <td>0.352781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoothness_mean</th>\n",
       "      <td>3.578130</td>\n",
       "      <td>5.854502e-02</td>\n",
       "      <td>84.259148</td>\n",
       "      <td>1.080629e-18</td>\n",
       "      <td>0.081439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compactness_mean</th>\n",
       "      <td>19.000353</td>\n",
       "      <td>1.306943e-05</td>\n",
       "      <td>301.903645</td>\n",
       "      <td>1.853910e-53</td>\n",
       "      <td>0.210643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concavity_mean</th>\n",
       "      <td>41.869753</td>\n",
       "      <td>9.756018e-11</td>\n",
       "      <td>484.707036</td>\n",
       "      <td>5.263608e-76</td>\n",
       "      <td>0.378656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concave points_mean</th>\n",
       "      <td>49.877252</td>\n",
       "      <td>1.636713e-12</td>\n",
       "      <td>778.269397</td>\n",
       "      <td>1.085214e-104</td>\n",
       "      <td>0.444640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symmetry_mean</th>\n",
       "      <td>3.157095</td>\n",
       "      <td>7.559762e-02</td>\n",
       "      <td>72.970343</td>\n",
       "      <td>1.527566e-16</td>\n",
       "      <td>0.080062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal_dimension_mean</th>\n",
       "      <td>0.001261</td>\n",
       "      <td>9.716751e-01</td>\n",
       "      <td>0.016084</td>\n",
       "      <td>8.991298e-01</td>\n",
       "      <td>0.012007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radius_se</th>\n",
       "      <td>15.300195</td>\n",
       "      <td>9.170703e-05</td>\n",
       "      <td>232.437939</td>\n",
       "      <td>1.623050e-43</td>\n",
       "      <td>0.259611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>texture_se</th>\n",
       "      <td>0.011207</td>\n",
       "      <td>9.156910e-01</td>\n",
       "      <td>0.142573</td>\n",
       "      <td>7.058938e-01</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>perimeter_se</th>\n",
       "      <td>14.479643</td>\n",
       "      <td>1.416825e-04</td>\n",
       "      <td>219.901834</td>\n",
       "      <td>1.271959e-41</td>\n",
       "      <td>0.252327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area_se</th>\n",
       "      <td>17.194865</td>\n",
       "      <td>3.373469e-05</td>\n",
       "      <td>209.326791</td>\n",
       "      <td>5.347551e-40</td>\n",
       "      <td>0.337580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoothness_se</th>\n",
       "      <td>0.401897</td>\n",
       "      <td>5.261110e-01</td>\n",
       "      <td>5.630542</td>\n",
       "      <td>1.801999e-02</td>\n",
       "      <td>0.010103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compactness_se</th>\n",
       "      <td>4.347232</td>\n",
       "      <td>3.706914e-02</td>\n",
       "      <td>48.121087</td>\n",
       "      <td>1.219595e-11</td>\n",
       "      <td>0.052141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concavity_se</th>\n",
       "      <td>2.197965</td>\n",
       "      <td>1.381931e-01</td>\n",
       "      <td>32.314611</td>\n",
       "      <td>2.208981e-08</td>\n",
       "      <td>0.125123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concave points_se</th>\n",
       "      <td>5.004325</td>\n",
       "      <td>2.528406e-02</td>\n",
       "      <td>103.233898</td>\n",
       "      <td>3.284547e-22</td>\n",
       "      <td>0.139028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symmetry_se</th>\n",
       "      <td>0.002702</td>\n",
       "      <td>9.585470e-01</td>\n",
       "      <td>0.035793</td>\n",
       "      <td>8.500193e-01</td>\n",
       "      <td>0.018637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal_dimension_se</th>\n",
       "      <td>0.223114</td>\n",
       "      <td>6.366775e-01</td>\n",
       "      <td>2.768316</td>\n",
       "      <td>9.676156e-02</td>\n",
       "      <td>0.055469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radius_worst</th>\n",
       "      <td>30.220676</td>\n",
       "      <td>3.855770e-08</td>\n",
       "      <td>752.322958</td>\n",
       "      <td>1.957376e-102</td>\n",
       "      <td>0.450704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>texture_worst</th>\n",
       "      <td>8.679801</td>\n",
       "      <td>3.217561e-03</td>\n",
       "      <td>138.718042</td>\n",
       "      <td>1.721709e-28</td>\n",
       "      <td>0.139734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>perimeter_worst</th>\n",
       "      <td>30.688758</td>\n",
       "      <td>3.029150e-08</td>\n",
       "      <td>783.867265</td>\n",
       "      <td>3.586993e-105</td>\n",
       "      <td>0.468663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area_worst</th>\n",
       "      <td>31.076464</td>\n",
       "      <td>2.480610e-08</td>\n",
       "      <td>585.276554</td>\n",
       "      <td>1.084215e-86</td>\n",
       "      <td>0.464942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoothness_worst</th>\n",
       "      <td>5.286855</td>\n",
       "      <td>2.148699e-02</td>\n",
       "      <td>113.590911</td>\n",
       "      <td>4.415129e-24</td>\n",
       "      <td>0.101957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compactness_worst</th>\n",
       "      <td>19.265481</td>\n",
       "      <td>1.137443e-05</td>\n",
       "      <td>273.726581</td>\n",
       "      <td>1.560369e-49</td>\n",
       "      <td>0.227842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concavity_worst</th>\n",
       "      <td>28.791243</td>\n",
       "      <td>8.061477e-08</td>\n",
       "      <td>382.914177</td>\n",
       "      <td>5.065127e-64</td>\n",
       "      <td>0.309293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>concave points_worst</th>\n",
       "      <td>41.568155</td>\n",
       "      <td>1.138325e-10</td>\n",
       "      <td>849.539664</td>\n",
       "      <td>1.161458e-110</td>\n",
       "      <td>0.432709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symmetry_worst</th>\n",
       "      <td>6.280482</td>\n",
       "      <td>1.220749e-02</td>\n",
       "      <td>116.983393</td>\n",
       "      <td>1.093933e-24</td>\n",
       "      <td>0.105179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fractal_dimension_worst</th>\n",
       "      <td>4.375327</td>\n",
       "      <td>3.646284e-02</td>\n",
       "      <td>67.264152</td>\n",
       "      <td>1.942685e-15</td>\n",
       "      <td>0.072747</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                χ²    χ² p-value     ANOVA f  ANOVA f p-value  \\\n",
       "radius_mean              21.947031  2.802802e-06  563.290833     1.925850e-84   \n",
       "texture_mean              6.700800  9.636964e-03  110.702638     1.457338e-23   \n",
       "perimeter_mean           23.463141  1.273300e-06  607.719602     6.096234e-89   \n",
       "area_mean                25.933519  3.533795e-07  496.769071     2.419594e-77   \n",
       "smoothness_mean           3.578130  5.854502e-02   84.259148     1.080629e-18   \n",
       "compactness_mean         19.000353  1.306943e-05  301.903645     1.853910e-53   \n",
       "concavity_mean           41.869753  9.756018e-11  484.707036     5.263608e-76   \n",
       "concave points_mean      49.877252  1.636713e-12  778.269397    1.085214e-104   \n",
       "symmetry_mean             3.157095  7.559762e-02   72.970343     1.527566e-16   \n",
       "fractal_dimension_mean    0.001261  9.716751e-01    0.016084     8.991298e-01   \n",
       "radius_se                15.300195  9.170703e-05  232.437939     1.623050e-43   \n",
       "texture_se                0.011207  9.156910e-01    0.142573     7.058938e-01   \n",
       "perimeter_se             14.479643  1.416825e-04  219.901834     1.271959e-41   \n",
       "area_se                  17.194865  3.373469e-05  209.326791     5.347551e-40   \n",
       "smoothness_se             0.401897  5.261110e-01    5.630542     1.801999e-02   \n",
       "compactness_se            4.347232  3.706914e-02   48.121087     1.219595e-11   \n",
       "concavity_se              2.197965  1.381931e-01   32.314611     2.208981e-08   \n",
       "concave points_se         5.004325  2.528406e-02  103.233898     3.284547e-22   \n",
       "symmetry_se               0.002702  9.585470e-01    0.035793     8.500193e-01   \n",
       "fractal_dimension_se      0.223114  6.366775e-01    2.768316     9.676156e-02   \n",
       "radius_worst             30.220676  3.855770e-08  752.322958    1.957376e-102   \n",
       "texture_worst             8.679801  3.217561e-03  138.718042     1.721709e-28   \n",
       "perimeter_worst          30.688758  3.029150e-08  783.867265    3.586993e-105   \n",
       "area_worst               31.076464  2.480610e-08  585.276554     1.084215e-86   \n",
       "smoothness_worst          5.286855  2.148699e-02  113.590911     4.415129e-24   \n",
       "compactness_worst        19.265481  1.137443e-05  273.726581     1.560369e-49   \n",
       "concavity_worst          28.791243  8.061477e-08  382.914177     5.065127e-64   \n",
       "concave points_worst     41.568155  1.138325e-10  849.539664    1.161458e-110   \n",
       "symmetry_worst            6.280482  1.220749e-02  116.983393     1.093933e-24   \n",
       "fractal_dimension_worst   4.375327  3.646284e-02   67.264152     1.942685e-15   \n",
       "\n",
       "                         Mutual Information  \n",
       "radius_mean                        0.360890  \n",
       "texture_mean                       0.102675  \n",
       "perimeter_mean                     0.387383  \n",
       "area_mean                          0.352781  \n",
       "smoothness_mean                    0.081439  \n",
       "compactness_mean                   0.210643  \n",
       "concavity_mean                     0.378656  \n",
       "concave points_mean                0.444640  \n",
       "symmetry_mean                      0.080062  \n",
       "fractal_dimension_mean             0.012007  \n",
       "radius_se                          0.259611  \n",
       "texture_se                         0.000000  \n",
       "perimeter_se                       0.252327  \n",
       "area_se                            0.337580  \n",
       "smoothness_se                      0.010103  \n",
       "compactness_se                     0.052141  \n",
       "concavity_se                       0.125123  \n",
       "concave points_se                  0.139028  \n",
       "symmetry_se                        0.018637  \n",
       "fractal_dimension_se               0.055469  \n",
       "radius_worst                       0.450704  \n",
       "texture_worst                      0.139734  \n",
       "perimeter_worst                    0.468663  \n",
       "area_worst                         0.464942  \n",
       "smoothness_worst                   0.101957  \n",
       "compactness_worst                  0.227842  \n",
       "concavity_worst                    0.309293  \n",
       "concave points_worst               0.432709  \n",
       "symmetry_worst                     0.105179  \n",
       "fractal_dimension_worst            0.072747  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 轉成 DataFrame 方便觀察\n",
    "dfFeatureScore = pd.DataFrame({\n",
    "    'χ²': wdbc_chi2,\n",
    "    'χ² p-value': chi2_pvalue,\n",
    "    'ANOVA f': wdbc_fstat,\n",
    "    'ANOVA f p-value': fstat_pvalue,\n",
    "    'Mutual Information': wdbc_mi\n",
    "}, index=X_train01.columns)\n",
    "\n",
    "dfFeatureScore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axs = plt.subplots(1, 3, figsize=(14,10))\n",
    "sns.heatmap(dfFeatureScore[['χ²']], annot=True, yticklabels=True, ax=axs[0])\n",
    "sns.heatmap(dfFeatureScore[['ANOVA f']], annot=True, yticklabels=False, ax=axs[1])\n",
    "sns.heatmap(dfFeatureScore[['Mutual Information']], annot=True, yticklabels=False, ax=axs[2])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axcorr = plt.subplots(figsize=(16,12))\n",
    "sns.heatmap(dsWdbc.df.corr(), annot=True, square=True, ax=axcorr)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 features selected by χ² p-value < 0.01:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'texture_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'texture_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chi2p_mask = chi2_pvalue < 1e-2\n",
    "\n",
    "print('{} features selected by χ² p-value < 0.01:'.format(np.sum(chi2p_mask)))\n",
    "list(X_train01.columns[chi2p_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 features selected by χ² FPR test:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'texture_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'texture_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectFpr\n",
    "\n",
    "chi2p_selectfpr = SelectFpr(chi2, alpha=0.01)\n",
    "chi2p_selectfpr.fit(X_train01, Y_train)\n",
    "chi2p_fpr_mask = chi2p_selectfpr.get_support()\n",
    "\n",
    "print('{} features selected by χ² FPR test:'.format(np.sum(chi2p_fpr_mask)))\n",
    "list(X_train01.columns[chi2p_fpr_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16 features selected by χ² FDR test:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'texture_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectFdr\n",
    "\n",
    "chi2p_selectfdr = SelectFdr(chi2, alpha=0.01)\n",
    "chi2p_selectfdr.fit(X_train01, Y_train)\n",
    "chi2p_fdr_mask = chi2p_selectfdr.get_support()\n",
    "\n",
    "print('{} features selected by χ² FDR test:'.format(np.sum(chi2p_fdr_mask)))\n",
    "list(X_train01.columns[chi2p_fdr_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 features selected by χ² FWE test:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectFwe\n",
    "\n",
    "chi2p_selectfwe = SelectFwe(chi2, alpha=0.01)\n",
    "chi2p_selectfwe.fit(X_train01, Y_train)\n",
    "chi2p_fwe_mask = chi2p_selectfwe.get_support()\n",
    "\n",
    "print('{} features selected by χ² FWE test:'.format(np.sum(chi2p_fwe_mask)))\n",
    "list(X_train01.columns[chi2p_fwe_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 15 ANOVA f-value:\n",
      "[849.53966402 783.86726519 778.26939726 752.32295849 607.71960229\n",
      " 585.27655378 563.29083344 496.7690708  484.70703568 382.91417719\n",
      " 301.90364456 273.72658119 232.4379389  219.90183404 209.32679101]\n",
      "\n",
      "Top 15 features selected from ANOVA f:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k2select = 15\n",
    "fstat_dec_index = np.flip(np.argsort(wdbc_fstat, kind='stable'))\n",
    "print('Top {} ANOVA f-value:\\n{}\\n'.format(k2select, wdbc_fstat[fstat_dec_index[:k2select]]))\n",
    "print('Top {} features selected from ANOVA f:'.format(k2select))\n",
    "list(X_train01.columns[np.sort(fstat_dec_index[:k2select])])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 15 features selected from ANOVA f:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectKBest\n",
    "\n",
    "k2select = 15\n",
    "fstat_selectk = SelectKBest(f_classif, k=k2select)\n",
    "fstat_selectk.fit(X_train01, Y_train)\n",
    "fstat_k_mask = fstat_selectk.get_support()\n",
    "\n",
    "print('Top {} features selected from ANOVA f:'.format(k2select))\n",
    "list(X_train01.columns[fstat_k_mask])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 15 Mutual Information:\n",
      "[0.46866282 0.46494207 0.45070373 0.44463972 0.43270931 0.38738273\n",
      " 0.37865642 0.3608904  0.35278057 0.33757956 0.30929263 0.25961094\n",
      " 0.25232744 0.22784159 0.21064311]\n",
      "\n",
      "Top 15 features selected from Mutual Information:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'perimeter_se',\n",
       " 'area_se',\n",
       " 'radius_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'compactness_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k2select = 15\n",
    "mi_dec_index = np.flip(np.argsort(wdbc_mi, kind='stable'))\n",
    "print('Top {} Mutual Information:\\n{}\\n'.format(k2select, wdbc_mi[mi_dec_index[:k2select]]))\n",
    "print('Top {} features selected from Mutual Information:'.format(k2select))\n",
    "list(X_train01.columns[np.sort(mi_dec_index[:k2select])])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequential Forward Selected mask:\n",
      "[False False  True  True  True  True  True False False  True False False\n",
      " False  True  True]\n",
      "\n",
      "Sequential Forward Selected features:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['area_mean',\n",
       " 'compactness_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_se',\n",
       " 'radius_worst',\n",
       " 'concavity_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.feature_selection import SequentialFeatureSelector\n",
    "\n",
    "# starting from a smaller filtered subset\n",
    "mi15_index = np.sort(mi_dec_index[:k2select])\n",
    "X_train_mi15 = X_train.iloc[:, mi15_index]\n",
    "\n",
    "blrpipe = Pipeline(\n",
    "    steps=[\n",
    "        ('zscaler', StandardScaler()),\n",
    "        ('blr', LogisticRegression())\n",
    "    ]\n",
    ")\n",
    "\n",
    "hyparams = {\n",
    "    'blr__solver': 'saga',\n",
    "    'blr__penalty': 'l2',\n",
    "    'blr__tol': 1e-5,\n",
    "    'blr__C': 1.0,\n",
    "    'blr__max_iter': 100,\n",
    "    'blr__n_jobs': None\n",
    "}\n",
    "\n",
    "blrpipe.set_params(**hyparams)\n",
    "\n",
    "seqfwd_selector = SequentialFeatureSelector(\n",
    "    blrpipe,\n",
    "    n_features_to_select=8,\n",
    "    direction='backward',\n",
    "    scoring='roc_auc',\n",
    "    cv=StratifiedKFold(n_splits=10, shuffle=True),\n",
    "    n_jobs=-1\n",
    ")\n",
    "\n",
    "seqfwd_selector.fit(X_train_mi15, Y_train)\n",
    "\n",
    "seqfwd_mask = seqfwd_selector.get_support()\n",
    "print('Sequential Forward Selected mask:\\n{}\\n'.format(seqfwd_mask))\n",
    "print('Sequential Forward Selected features:')\n",
    "list(X_train_mi15.columns[seqfwd_mask])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021-05-05 23:35:02] hypsearch begin.\n",
      "Fitting 10 folds for each of 900 candidates, totalling 9000 fits\n",
      "[2021-05-05 23:39:33] hypsearch done in 270.973 seconds.\n",
      "Hyperparameter feature search result:\n",
      "  * best index: 37\n",
      "  * best parameters: {'blr__C': 1.0, 'blr__max_iter': 120, 'blr__n_jobs': -1, 'blr__penalty': 'none', 'blr__solver': 'newton-cg', 'blr__tol': 0.0001, 'fselectk__k': 8}\n",
      "  * best score: 0.960\n",
      "  * validate_roc_auc: 0.960\n",
      "  * validate_accuracy: 0.965\n",
      "  * validate_sensitivity: 0.942\n",
      "  * validate_specificity: 0.978\n"
     ]
    }
   ],
   "source": [
    "from sklearn.feature_selection import SelectKBest, mutual_info_classif\n",
    "\n",
    "# the classifier\n",
    "blrfspipe = Pipeline(\n",
    "    steps=[\n",
    "        ('zscaler', StandardScaler()),\n",
    "        ('fselectk', SelectKBest(mutual_info_classif)),\n",
    "        ('blr', LogisticRegression())\n",
    "    ]\n",
    ")\n",
    "\n",
    "# hyperparameter searching space for LogisticRegression\n",
    "hypfs_list = [{\n",
    "    'fselectk__k': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n",
    "    'blr__solver': ['newton-cg', 'sag', 'lbfgs'],\n",
    "    'blr__penalty': ['l2', 'none'],\n",
    "    'blr__tol': [1e-4],\n",
    "    'blr__C': [1.0, 1e-1, 1e-2],\n",
    "    'blr__max_iter': [120, 100, 80],\n",
    "    'blr__n_jobs': [-1]\n",
    "}, {\n",
    "    'fselectk__k': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n",
    "    'blr__solver': ['saga'],\n",
    "    'blr__penalty': ['l1', 'l2', 'elasticnet', 'none'],\n",
    "    'blr__tol': [1e-4],\n",
    "    'blr__C': [1.0, 1e-1, 1e-2],\n",
    "    'blr__max_iter': [120, 100, 80],\n",
    "    'blr__n_jobs': [-1]\n",
    "}]\n",
    "\n",
    "# use grid search\n",
    "blr_hypfs = bclass_hyparam_search(blrfspipe, X_train, Y_train, hyparams=hypfs_list, randomize=False)\n",
    "\n",
    "print('Hyperparameter feature search result:\\n  * best index: {}\\n  * best parameters: {}\\n  * best score: {:.3f}'.format(\n",
    "    blr_hypfs.best_index_, blr_hypfs.best_params_, blr_hypfs.best_score_))\n",
    "for k in ['mean_test_roc_auc','mean_test_accuracy','mean_test_sensitivity','mean_test_specificity']:\n",
    "    print('  * {}: {:.3f}'.format(k.replace('mean_test','validate'), blr_hypfs.cv_results_[k][blr_hypfs.best_index_]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8 features selected from Mutual Information:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['radius_mean',\n",
       " 'perimeter_mean',\n",
       " 'concavity_mean',\n",
       " 'concave points_mean',\n",
       " 'radius_worst',\n",
       " 'perimeter_worst',\n",
       " 'area_worst',\n",
       " 'concave points_worst']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mi_mask = blr_hypfs.best_estimator_['fselectk'].get_support()\n",
    "\n",
    "print('{} features selected from Mutual Information:'.format(np.sum(mi_mask)))\n",
    "list(X_train.columns[mi_mask])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"references\"></a>\n",
    "\n",
    "## References:\n",
    "\n",
    "1. Scikit-Learn, \"*User Guide*\", scikit-learn.org, [[link]](https://scikit-learn.org/stable/user_guide.html). \n",
    "2. Murphy, Kevin P. \"*Machine learning: a probabilistic perspective*\". MIT press, 2012."
   ]
  }
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