bundesliga_predict_ml.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Environment preparation \n",
    " updating the required packages i.e. SageMaker Python SDK, pandas and numpy, and specifying:\n",
    "1. The S3 bucket and prefix that you want to use for training and model data. This should be within the same region as the Notebook Instance or Studio, training, and hosting.\n",
    "2. The IAM role ARN used to give training and hosting access to your data. See the documentation for how to create these. Note: if more than one role is required for notebook instances, training, and/or hosting, please replace the boto regexp with the appropriate full IAM role ARN string(s).\n",
    "3. Download data  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\nimport sys\\n!{sys.executable} -m pip install pandas numpy --upgrade\\n'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set free when using AWS sageaker\n",
    "'''\n",
    "import sys\n",
    "!{sys.executable} -m pip install pandas numpy --upgrade\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' \\nimport boto3\\nimport sagemaker\\nfrom sagemaker import get_execution_role\\n\\nsess = sagemaker.Session()\\nbucket = sess.default_bucket()\\nprefix = \"sagemaker/titanic\"\\n#role = get_execution_role()\\nrole = \\'arn:aws:iam::614511894774:user/xuefeng-admin\\'\\n\\n'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set free when using AWS sageaker\n",
    "''' \n",
    "import boto3\n",
    "import sagemaker\n",
    "from sagemaker import get_execution_role\n",
    "\n",
    "sess = sagemaker.Session()\n",
    "bucket = sess.default_bucket()\n",
    "prefix = \"sagemaker/titanic\"\n",
    "#role = get_execution_role()\n",
    "role = 'arn:aws:iam::614511894774:user/xuefeng-admin'\n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pre-processing: Data Understanding\n",
    "1. Import Libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ignore warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Handle table-like data and matrices\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Modelling Algorithms\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC, LinearSVC\n",
    "from sklearn.ensemble import RandomForestClassifier , GradientBoostingClassifier\n",
    "import xgboost as xgb\n",
    "\n",
    "# Modelling Helpers\n",
    "from sklearn.preprocessing import  Normalizer , scale, LabelEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "#imputer = SimpleImputer(missing_values=np.nan, strategy='mean')\n",
    "from sklearn.model_selection import train_test_split , StratifiedKFold, cross_val_score,GridSearchCV\n",
    "from sklearn.feature_selection import RFECV, SelectFromModel\n",
    "from time import time\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "# Visualisation\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.pylab as pylab\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "\n",
    "# Configure visualisations\n",
    "%matplotlib inline\n",
    "mpl.style.use( 'ggplot' )\n",
    "sns.set_style( 'white' )\n",
    "pylab.rcParams[ 'figure.figsize' ] = 8 , 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Setup helper Functions\n",
    "# currently no need"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Feature engineering\n",
    "    - Overwie of Data shape/ features \n",
    "    - Check missing values \n",
    "    - feature creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Datasets: Row: (306, 64)\n",
      "(306, 64)\n",
      "(306, 61)\n",
      "(306, 105)\n",
      "(306, 105)\n",
      "(306, 105)\n"
     ]
    }
   ],
   "source": [
    "row_2017 = pd.read_csv('./data/2017session.csv')\n",
    "row_2018 = pd.read_csv('./data/2018session.csv')\n",
    "row_2019 = pd.read_csv('./data/2019session.csv')\n",
    "row_2020 = pd.read_csv('./data/2020session.csv')\n",
    "row_2021 = pd.read_csv('./data/2021session.csv')\n",
    "row_list = [row_2017, row_2018, row_2019, row_2020, row_2021]\n",
    "# shpe of all data\n",
    "print ('Datasets:' , 'Row:' , row_2017.shape)\n",
    "print(row_2017.shape)\n",
    "print(row_2018.shape)\n",
    "print(row_2019.shape)\n",
    "print(row_2020.shape)\n",
    "print(row_2021.shape)\n",
    "#row_2017.head()\n",
    "#print ('Datasets:' , 'lables:' , row_2017.columns.values)\n",
    "#print ('Datasets:' , 'lables:' , row_2018.columns.values)\n",
    "#print ('Datasets:' , 'lables:' , row_2019.columns.values)\n",
    "#print ('Datasets:' , 'lables:' , row_2020.columns.values)\n",
    "#print ('Datasets:' , 'lables:' , row_2021.columns.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# select initial features\n",
    "\n",
    "columns_req = ['HomeTeam','AwayTeam','FTHG','FTAG','FTR']\n",
    "\n",
    "statistics_2017 = row_2017[columns_req]\n",
    "statistics_2018 = row_2018[columns_req]\n",
    "statistics_2019 = row_2019[columns_req]\n",
    "statistics_2020 = row_2020[columns_req]\n",
    "statistics_2021 = row_2021[columns_req]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "This sector create 2 new fratures\n",
    " Prob_odds: using the formular convert from decimal odds to probability, the smaller means larger wins probability\n",
    " CV(coefficient of variation): considering the 'Divergence index', the smaller means the opinions are more consitant from different companies\n",
    " \n",
    "'''\n",
    "#implied probability in percentage = (0.9/ decimal odds) * 100 \n",
    "\n",
    "columns_odds = ['B365H','B365D','B365A','BWH','BWD','BWA','IWH','IWD','IWA','WHH','WHD','WHA','VCH','VCD','VCA','PSH','PSA','PSD','PSCH','PSCD','PSCA']\n",
    "#select common bet odds from different companies\n",
    "\n",
    "odds_2017 = row_2017[columns_odds]\n",
    "odds_2018 = row_2018[columns_odds]\n",
    "odds_2019 = row_2019[columns_odds]\n",
    "odds_2020 = row_2020[columns_odds]\n",
    "odds_2021 = row_2021[columns_odds]\n",
    "\n",
    "def prob_odds(odds,prob_odds_all):\n",
    "#using flag mode to creat feature, give 1 to the one with largest wins probability\n",
    "    if odds[0] == min(odds):\n",
    "        prob_odds_all.append('H')\n",
    "    elif odds[1] == min(odds):\n",
    "        prob_odds_all.append('D')\n",
    "    else:\n",
    "        prob_odds_all.append('A')\n",
    "    return prob_odds_all\n",
    "    \n",
    "\n",
    "def get_cv(playing_stat):\n",
    "    cv_odds_H, cv_odds_D, cv_odds_A, prob_odds_all, prob_H, prob_D, prob_A =[[] for x in range(7)]\n",
    "    for i in range(len(playing_stat)):\n",
    "        sum_odds_H,sum_odds_D,sum_odds_A=[[] for x in range(3)]\n",
    "        #print(playing_stat.columns.values)\n",
    "        for j in playing_stat.columns.values:\n",
    "            if j.endswith('H'):\n",
    "                sum_odds_H.append(playing_stat.iloc[i][j])\n",
    "            elif j.endswith('D'):\n",
    "                sum_odds_D.append(playing_stat.iloc[i][j])\n",
    "            else:\n",
    "                sum_odds_A.append(playing_stat.iloc[i][j])\n",
    "  \n",
    "        avg_H = np.mean(sum_odds_H)\n",
    "        std_H = np.std(sum_odds_H,ddof=1)\n",
    "        avg_D = np.mean(sum_odds_D)\n",
    "        std_D = np.std(sum_odds_D,ddof=1)\n",
    "        avg_A = np.mean(sum_odds_A)\n",
    "        std_A = np.std(sum_odds_A,ddof=1)\n",
    "        avg_odds = [avg_H, avg_D, avg_A]\n",
    " \n",
    "        min_cv = [std_H/avg_H, std_D/avg_D, std_A/avg_A]\n",
    "        # coefficient of variation using formular: std/avg\n",
    "        prob_odds_all = prob_odds(avg_odds,prob_odds_all) \n",
    "        if min(min_cv) == (std_H/avg_H):\n",
    "            cv_odds_H.append(1)\n",
    "            cv_odds_D.append(0) \n",
    "            cv_odds_A.append(0)\n",
    "        elif min(min_cv) == (std_D/avg_D):\n",
    "            cv_odds_H.append(0)\n",
    "            cv_odds_D.append(1) \n",
    "            cv_odds_A.append(0)\n",
    "        else:\n",
    "            cv_odds_H.append(0)\n",
    "            cv_odds_D.append(0) \n",
    "            cv_odds_A.append(1)\n",
    "    \n",
    "    playing_stat.loc[:,'Prob_odds'] = prob_odds_all       \n",
    "    playing_stat.loc[:,'CV_H'] = cv_odds_H\n",
    "    playing_stat.loc[:,'CV_D'] = cv_odds_D\n",
    "    playing_stat.loc[:,'CV_A'] = cv_odds_A\n",
    "    #playing_stat.loc[:,'PROB_H'] = prob_H\n",
    "    #playing_stat.loc[:,'PROB_D'] = prob_D\n",
    "    #playing_stat.loc[:,'PROB_A'] = prob_A\n",
    "    return playing_stat   \n",
    "   \n",
    "odds_2017 = get_cv(odds_2017)\n",
    "odds_2018 = get_cv(odds_2018)\n",
    "odds_2019 = get_cv(odds_2019)\n",
    "odds_2020 = get_cv(odds_2020)\n",
    "odds_2021 = get_cv(odds_2021)\n",
    "\n",
    "statistics_2017 = pd.concat([statistics_2017, odds_2017[['Prob_odds','CV_H','CV_D','CV_A']]], axis=1)\n",
    "statistics_2018 = pd.concat([statistics_2018, odds_2018[['Prob_odds','CV_H','CV_D','CV_A']]], axis=1)\n",
    "statistics_2019 = pd.concat([statistics_2019, odds_2019[['Prob_odds','CV_H','CV_D','CV_A']]], axis=1)\n",
    "statistics_2020 = pd.concat([statistics_2020, odds_2020[['Prob_odds','CV_H','CV_D','CV_A']]], axis=1)\n",
    "statistics_2021 = pd.concat([statistics_2021, odds_2021[['Prob_odds','CV_H','CV_D','CV_A']]], axis=1)\n",
    "\n",
    "#statistics_2017.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If predict the winner is Home-team, the accuracy is about  0.43921568627450985\n"
     ]
    }
   ],
   "source": [
    "def predictions_0(data):\n",
    "    \"\"\" naive predict the winner is Home-team \"\"\"\n",
    "    \n",
    "    predictions = []\n",
    "    for _, game in data.iterrows():\n",
    "        if game['FTR'] == 'H':\n",
    "            predictions.append(1)\n",
    "        else:\n",
    "            predictions.append(0)\n",
    "    return pd.Series(predictions)\n",
    "\n",
    "# predict accurace: mean value of predicted 5 sessions \n",
    "acc_list = []\n",
    "for i, session in enumerate(row_list):\n",
    "    acc = sum(predictions_0(session))/len(session)\n",
    "    acc_list.append(acc)    \n",
    "acc_mean = np.mean(acc_list)\n",
    "print('If predict the winner is Home-team, the accuracy is about  {}'.format(acc_mean))   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "''' \n",
    "In Bundeslig matches in a year:\n",
    "306 matches \n",
    "34 'Spieltag'(week)\n",
    "9 matches one week (full 18 teams in matching)\n",
    "\n",
    "This sector create 2 new fratures\n",
    " HTGD: Home team goals difference\n",
    " ATGD: Away team goals difference\n",
    "'''\n",
    "# Calculate the cumulative goal difference per team per week\n",
    "def get_goals_diff(playing_stat):\n",
    "    # Create a dictionary, teams name as 'Key', teams(18*34)\n",
    "    teams = {}\n",
    "    for i in playing_stat.groupby('HomeTeam').mean().T.columns:\n",
    "        teams[i] = []\n",
    "    # for every matches\n",
    "    for i in range(len(playing_stat)):\n",
    "        # full time goals for home team\n",
    "        HTGS = playing_stat.iloc[i]['FTHG']\n",
    "        # full time goals for away team\n",
    "        ATGS = playing_stat.iloc[i]['FTAG']\n",
    "\n",
    "        # add cumulative goal difference to home teams\n",
    "        teams[playing_stat.iloc[i].HomeTeam].append(HTGS-ATGS)\n",
    "        # add cumulative goal difference to away teams\n",
    "        teams[playing_stat.iloc[i].AwayTeam].append(ATGS-HTGS)\n",
    "    \n",
    "\n",
    "    # rows as team-names, columns as matchweek\n",
    "    GoalsDifference = pd.DataFrame(data=teams, index = [i for i in range(1,35)]).T\n",
    "    GoalsDifference[0] = 0\n",
    "    # colmulate goal difference by weeks\n",
    "    for i in range(2,35):\n",
    "        GoalsDifference[i] = GoalsDifference[i] + GoalsDifference[i-1]    \n",
    "    return GoalsDifference\n",
    "    \n",
    "\n",
    "def get_gss(playing_stat):\n",
    "\n",
    "    # get statistic of goals difference\n",
    "    GD = get_goals_diff(playing_stat)\n",
    "\n",
    "    j = 0\n",
    "    #  creat new features: clear goals difference for home team and away team\n",
    "    HTGD = []\n",
    "    ATGD = []\n",
    "\n",
    "    # total 306 matches in whole year\n",
    "    for i in range(306):\n",
    "        ht = playing_stat.iloc[i].HomeTeam\n",
    "        at = playing_stat.iloc[i].AwayTeam\n",
    "\n",
    "        HTGD.append(GD.loc[ht][j])\n",
    "        ATGD.append(GD.loc[at][j])\n",
    "\n",
    "        if ((i + 1)% 9) == 0:\n",
    "            j = j + 1\n",
    "\n",
    "    # add new created HTGD ATGD features to dataframe\n",
    "    playing_stat.loc[:,'HTGD'] = HTGD\n",
    "    playing_stat.loc[:,'ATGD'] = ATGD\n",
    "\n",
    "    return playing_stat\n",
    "\n",
    "statistics_2017 = get_gss(statistics_2017)\n",
    "statistics_2018 = get_gss(statistics_2018)\n",
    "statistics_2019 = get_gss(statistics_2019)\n",
    "statistics_2020 = get_gss(statistics_2020)\n",
    "statistics_2021 = get_gss(statistics_2021)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "This sector create 2 new fratures\n",
    " HTP: Home team cumulative points\n",
    " ATP: Away team cumulative points\n",
    " \n",
    "'''\n",
    "# calculate cumulative points for each team{ win: 3p; draw: 1p; lose: 0p}\n",
    "def get_points(result):\n",
    "    if result == 'W':\n",
    "        return 3\n",
    "    elif result == 'D':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "def get_cuml_points(matches):\n",
    "    matches_points = matches.applymap(get_points)\n",
    "    for i in range(2,35):\n",
    "        matches_points[i] = matches_points[i] + matches_points[i-1]\n",
    "\n",
    "    matches_points.insert(column =0, loc = 0, value = [0*i for i in range(18)])\n",
    "    return matches_points\n",
    "\n",
    "def get_matches(playing_stat):\n",
    "    # Create a dictionary, teams name as 'Key', teams(18*34)\n",
    "    teams = {}\n",
    "    for i in playing_stat.groupby('HomeTeam').mean().T.columns:\n",
    "        teams[i] = []\n",
    "\n",
    "    # sort results from each match to teams\n",
    "    # H：home team win\n",
    "    # A：away team win\n",
    "    # D：draw\n",
    "    for i in range(len(playing_stat)):\n",
    "        if playing_stat.iloc[i].FTR == 'H':\n",
    "            # home team win, then away team lose\n",
    "            teams[playing_stat.iloc[i].HomeTeam].append('W')\n",
    "            teams[playing_stat.iloc[i].AwayTeam].append('L')\n",
    "        elif playing_stat.iloc[i].FTR == 'A':\n",
    "            # away team win, then home team lose\n",
    "            teams[playing_stat.iloc[i].AwayTeam].append('W')\n",
    "            teams[playing_stat.iloc[i].HomeTeam].append('L')\n",
    "        else:\n",
    "            # draw\n",
    "            teams[playing_stat.iloc[i].AwayTeam].append('D')\n",
    "            teams[playing_stat.iloc[i].HomeTeam].append('D')\n",
    "\n",
    "    return pd.DataFrame(data=teams, index = [i for i in range(1,35)]).T\n",
    "\n",
    "def get_agg_points(playing_stat):\n",
    "    matches = get_matches(playing_stat)\n",
    "    cum_pts = get_cuml_points(matches)\n",
    "    HTP = []\n",
    "    ATP = []\n",
    "    j = 0\n",
    "    for i in range(306):\n",
    "        ht = playing_stat.iloc[i].HomeTeam\n",
    "        at = playing_stat.iloc[i].AwayTeam\n",
    "        HTP.append(cum_pts.loc[ht][j])\n",
    "        ATP.append(cum_pts.loc[at][j])\n",
    "\n",
    "        if ((i + 1)% 9) == 0:\n",
    "            j = j + 1\n",
    "    # cumulative points of home team\n",
    "    playing_stat.loc[:,'HTP'] = HTP\n",
    "    # cumulative points of away team\n",
    "    playing_stat.loc[:,'ATP'] = ATP\n",
    "    return playing_stat\n",
    "\n",
    "statistics_2017 = get_agg_points(statistics_2017)\n",
    "statistics_2018 = get_agg_points(statistics_2018)\n",
    "statistics_2019 = get_agg_points(statistics_2019)\n",
    "statistics_2020 = get_agg_points(statistics_2020)\n",
    "statistics_2021 = get_agg_points(statistics_2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add feature:last N matches\n",
    "\n",
    "# HM1,HM2,HM3 represents results of last 1/2/3 matches from home team\n",
    "# AM1,AM2,AM3 represents results of last 1/2/3 matches from away team\n",
    "\n",
    "def get_form(playing_stat,num):\n",
    "    form = get_matches(playing_stat)\n",
    "    form_final = form.copy()\n",
    "    for i in range(num,35):\n",
    "        form_final[i] = ''\n",
    "        j = 0\n",
    "        while j < num:\n",
    "            form_final[i] += form[i-j]\n",
    "            j += 1\n",
    "    return form_final\n",
    "\n",
    "\n",
    "def add_form(playing_stat,num):\n",
    "    form = get_form(playing_stat,num)\n",
    "    # M represents unknown，which means no enough results(matches) are played\n",
    "    h = ['M' for i in range(num * 9)]\n",
    "    a = ['M' for i in range(num * 9)]\n",
    "\n",
    "    j = num\n",
    "    for i in range((num*9),306):\n",
    "        ht = playing_stat.iloc[i].HomeTeam\n",
    "        at = playing_stat.iloc[i].AwayTeam\n",
    "\n",
    "        past = form.loc[ht][j]\n",
    "        h.append(past[num-1])\n",
    "\n",
    "        past = form.loc[at][j]\n",
    "        a.append(past[num-1])\n",
    "\n",
    "        if ((i + 1)% 9) == 0:\n",
    "            j = j + 1\n",
    "\n",
    "    playing_stat['HM' + str(num)] = h\n",
    "    playing_stat['AM' + str(num)] = a\n",
    "\n",
    "    return playing_stat\n",
    "\n",
    "\n",
    "def add_form_df(playing_statistics):\n",
    "    playing_statistics = add_form(playing_statistics,1)\n",
    "    playing_statistics = add_form(playing_statistics,2)\n",
    "    playing_statistics = add_form(playing_statistics,3)\n",
    "    return playing_statistics\n",
    "\n",
    "statistics_2017 = add_form_df(statistics_2017)\n",
    "statistics_2018 = add_form_df(statistics_2018)\n",
    "statistics_2019 = add_form_df(statistics_2019)\n",
    "statistics_2020 = add_form_df(statistics_2020)\n",
    "statistics_2021 = add_form_df(statistics_2021)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add feature: in which week(Spieltag)\n",
    "def get_mw(playing_stat):\n",
    "    j = 1\n",
    "    MatchWeek = []\n",
    "    for i in range(306):\n",
    "        MatchWeek.append(j)\n",
    "        if ((i + 1)% 9) == 0:\n",
    "            j = j + 1\n",
    "    playing_stat['MW'] = MatchWeek\n",
    "    return playing_stat\n",
    "\n",
    "statistics_2017 = get_mw(statistics_2017)\n",
    "statistics_2018 = get_mw(statistics_2018)\n",
    "statistics_2019 = get_mw(statistics_2019)\n",
    "statistics_2020 = get_mw(statistics_2020)\n",
    "statistics_2021 = get_mw(statistics_2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>HomeTeam</th>\n",
       "      <th>AwayTeam</th>\n",
       "      <th>FTHG</th>\n",
       "      <th>FTAG</th>\n",
       "      <th>FTR</th>\n",
       "      <th>Prob_odds</th>\n",
       "      <th>CV_H</th>\n",
       "      <th>CV_D</th>\n",
       "      <th>CV_A</th>\n",
       "      <th>HTGD</th>\n",
       "      <th>ATGD</th>\n",
       "      <th>HTP</th>\n",
       "      <th>ATP</th>\n",
       "      <th>HM1</th>\n",
       "      <th>AM1</th>\n",
       "      <th>HM2</th>\n",
       "      <th>AM2</th>\n",
       "      <th>HM3</th>\n",
       "      <th>AM3</th>\n",
       "      <th>MW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1525</th>\n",
       "      <td>Mainz</td>\n",
       "      <td>Ein Frankfurt</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>D</td>\n",
       "      <td>H</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>-0.117647</td>\n",
       "      <td>1.323529</td>\n",
       "      <td>1.205882</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>M'gladbach</td>\n",
       "      <td>Hoffenheim</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.323529</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.235294</td>\n",
       "      <td>1.352941</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1527</th>\n",
       "      <td>Stuttgart</td>\n",
       "      <td>FC Koln</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.558824</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>1.529412</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1528</th>\n",
       "      <td>Union Berlin</td>\n",
       "      <td>Bochum</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>-0.382353</td>\n",
       "      <td>1.588235</td>\n",
       "      <td>1.235294</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>Wolfsburg</td>\n",
       "      <td>Bayern Munich</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.323529</td>\n",
       "      <td>1.764706</td>\n",
       "      <td>1.205882</td>\n",
       "      <td>2.235294</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          HomeTeam       AwayTeam  FTHG  FTAG FTR Prob_odds  CV_H  CV_D  CV_A  \\\n",
       "1525         Mainz  Ein Frankfurt     2     2   D         H     0     1     0   \n",
       "1526    M'gladbach     Hoffenheim     5     1   H         H     1     0     0   \n",
       "1527     Stuttgart        FC Koln     2     1   H         H     1     0     0   \n",
       "1528  Union Berlin         Bochum     3     2   H         H     1     0     0   \n",
       "1529     Wolfsburg  Bayern Munich     2     2   D         A     0     0     1   \n",
       "\n",
       "          HTGD      ATGD       HTP       ATP HM1 AM1 HM2 AM2 HM3 AM3    MW  \n",
       "1525  0.147059 -0.117647  1.323529  1.205882   W   D   W   L   L   D  34.0  \n",
       "1526 -0.323529  0.058824  1.235294  1.352941   D   L   W   L   D   D  34.0  \n",
       "1527 -0.558824  0.117647  0.882353  1.529412   D   L   D   W   L   W  34.0  \n",
       "1528  0.147059 -0.382353  1.588235  1.235294   W   W   D   W   W   L  34.0  \n",
       "1529 -0.323529  1.764706  1.205882  2.235294   W   D   D   L   W   W  34.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "#combine data from 'n' years\n",
    "playing_stat = pd.concat([statistics_2017,\n",
    "                          statistics_2018,\n",
    "                          statistics_2019,\n",
    "                          statistics_2020,\n",
    "                          statistics_2021\n",
    "                          ], ignore_index=True)\n",
    "\n",
    "#get mean value: HTGD, ATGD ,HTP, ATP divided by 'week'\n",
    "cols = ['HTGD','ATGD','HTP','ATP']\n",
    "playing_stat.MW = playing_stat.MW.astype(float)\n",
    "for col in cols:\n",
    "    playing_stat[col] = playing_stat[col] / playing_stat.MW\n",
    "playing_stat.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>FTR</th>\n",
       "      <th>Prob_odds</th>\n",
       "      <th>CV_H</th>\n",
       "      <th>CV_D</th>\n",
       "      <th>CV_A</th>\n",
       "      <th>HTGD</th>\n",
       "      <th>ATGD</th>\n",
       "      <th>HTP</th>\n",
       "      <th>ATP</th>\n",
       "      <th>HM1</th>\n",
       "      <th>AM1</th>\n",
       "      <th>HM2</th>\n",
       "      <th>AM2</th>\n",
       "      <th>HM3</th>\n",
       "      <th>AM3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1525</th>\n",
       "      <td>D</td>\n",
       "      <td>H</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>-0.117647</td>\n",
       "      <td>1.323529</td>\n",
       "      <td>1.205882</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.323529</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1.235294</td>\n",
       "      <td>1.352941</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1527</th>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.558824</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.882353</td>\n",
       "      <td>1.529412</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1528</th>\n",
       "      <td>H</td>\n",
       "      <td>H</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>-0.382353</td>\n",
       "      <td>1.588235</td>\n",
       "      <td>1.235294</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>D</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.323529</td>\n",
       "      <td>1.764706</td>\n",
       "      <td>1.205882</td>\n",
       "      <td>2.235294</td>\n",
       "      <td>W</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>L</td>\n",
       "      <td>W</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     FTR Prob_odds  CV_H  CV_D  CV_A      HTGD      ATGD       HTP       ATP  \\\n",
       "1525   D         H     0     1     0  0.147059 -0.117647  1.323529  1.205882   \n",
       "1526   H         H     1     0     0 -0.323529  0.058824  1.235294  1.352941   \n",
       "1527   H         H     1     0     0 -0.558824  0.117647  0.882353  1.529412   \n",
       "1528   H         H     1     0     0  0.147059 -0.382353  1.588235  1.235294   \n",
       "1529   D         A     0     0     1 -0.323529  1.764706  1.205882  2.235294   \n",
       "\n",
       "     HM1 AM1 HM2 AM2 HM3 AM3  \n",
       "1525   W   D   W   L   L   D  \n",
       "1526   D   L   W   L   D   D  \n",
       "1527   D   L   D   W   L   W  \n",
       "1528   W   W   D   W   W   L  \n",
       "1529   W   D   D   L   W   W  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop the intermediate variables and data from first 3 weeks from each session\n",
    "playing_stat = playing_stat[playing_stat.MW > 3]\n",
    "playing_stat.drop(['HomeTeam', 'AwayTeam', 'FTHG', 'FTAG', 'MW'],1, inplace=True)\n",
    "playing_stat.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FTR', 'Prob_odds', 'CV_H', 'CV_D', 'CV_A', 'HTGD', 'ATGD', 'HTP',\n",
       "       'ATP', 'HM1', 'AM1', 'HM2', 'AM2', 'HM3', 'AM3'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print features ready to train the model\n",
    "playing_stat.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of matches: 1395\n",
      "number of features: 14\n",
      "number of wins from home team: 605\n",
      "win-rate from home team: 43.37%\n"
     ]
    }
   ],
   "source": [
    "# number of matches\n",
    "n_matches = playing_stat.shape[0]\n",
    "\n",
    "# number of features\n",
    "n_features = playing_stat.shape[1] - 1\n",
    "\n",
    "# number of wins from home team\n",
    "n_homewins = len(playing_stat[playing_stat.FTR == 'H'])\n",
    "\n",
    "# win-rate from home team\n",
    "win_rate = (float(n_homewins) / (n_matches)) * 100\n",
    "\n",
    "# Print the results\n",
    "print(\"number of matches: {}\".format(n_matches))\n",
    "print(\"number of features: {}\".format(n_features))\n",
    "print(\"number of wins from home team: {}\".format(n_homewins))\n",
    "print(\"win-rate from home team: {:.2f}%\".format(win_rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define target: Home team win or not\n",
    "\n",
    "def only_hw(string):\n",
    "    if string == 'H':\n",
    "        return 'H'\n",
    "    else:\n",
    "        return 'NH'\n",
    "\n",
    "playing_stat['FTR'] = playing_stat.FTR.apply(only_hw)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get labels and feature dataset\n",
    "X_all = playing_stat.drop(['FTR'],1)\n",
    "y_all = playing_stat['FTR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# scaling the dataset\n",
    "from sklearn.preprocessing import scale\n",
    "\n",
    "cols = [['HTGD','ATGD','HTP','ATP']]\n",
    "for col in cols:\n",
    "    X_all[col] = scale(X_all[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processed feature columns (27 total features):\n",
      "['Prob_odds_A', 'Prob_odds_H', 'CV_H', 'CV_D', 'CV_A', 'HTGD', 'ATGD', 'HTP', 'ATP', 'HM1_D', 'HM1_L', 'HM1_W', 'AM1_D', 'AM1_L', 'AM1_W', 'HM2_D', 'HM2_L', 'HM2_W', 'AM2_D', 'AM2_L', 'AM2_W', 'HM3_D', 'HM3_L', 'HM3_W', 'AM3_D', 'AM3_L', 'AM3_W']\n"
     ]
    }
   ],
   "source": [
    "#tern features into str\n",
    "X_all.HM1 = X_all.HM1.astype('str')\n",
    "X_all.HM2 = X_all.HM2.astype('str')\n",
    "X_all.HM3 = X_all.HM3.astype('str')\n",
    "X_all.AM1 = X_all.AM1.astype('str')\n",
    "X_all.AM2 = X_all.AM2.astype('str')\n",
    "X_all.AM3 = X_all.AM3.astype('str')\n",
    "\n",
    "\n",
    "def preprocess_features(X):\n",
    "    '''tern discete features to dummy encoding '''\n",
    "\n",
    "    output = pd.DataFrame(index = X.index)\n",
    "\n",
    "    for col, col_data in X.iteritems():\n",
    "\n",
    "        if col_data.dtype == object:\n",
    "            col_data = pd.get_dummies(col_data, prefix = col)\n",
    "\n",
    "        output = output.join(col_data)\n",
    "\n",
    "    return output\n",
    "\n",
    "X_all = preprocess_features(X_all)\n",
    "print(\"Processed feature columns ({} total features):\\n{}\".format(len(X_all.columns), list(X_all.columns)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Feature values:\n"
     ]
    }
   ],
   "source": [
    "# overview of features after pre-processing\n",
    "print(\"\\nFeature values:\")\n",
    "#display(X_all.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Pearson Correlation of Features'}>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1512x1296 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pearson heatmap\n",
    "# mapping target to 0-1\n",
    "y_all=y_all.map({'NH':0,'H':1})\n",
    "#y_all=y_all.map({'H':1,'D':0,'A':-1})\n",
    "#combine features\n",
    "train_data=pd.concat([X_all,y_all],axis=1)\n",
    "colormap = plt.cm.RdBu\n",
    "plt.figure(figsize=(21,18))\n",
    "plt.title('Pearson Correlation of Features', y=1.05, size=15)\n",
    "sns.heatmap(train_data.astype(float).corr(),linewidths=0.1,vmax=1.0,\n",
    "            square=True, cmap=colormap, linecolor='white', annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop 'HTP' and 'ATP' as they highly correlated\n",
    "X_all=X_all.drop(['HTP','ATP'],axis=1)\n",
    "train_data=pd.concat([X_all,y_all],axis=1)\n",
    "#train_data.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# see rest features\n",
    "\n",
    "#FTR correlation matrix\n",
    "plt.figure(figsize=(14,12))\n",
    "k = 10 #number of variables for heatmap\n",
    "cols = abs(train_data.astype(float).corr()).nlargest(k, 'FTR')['FTR'].index\n",
    "cm = np.corrcoef(train_data[cols].values.T)\n",
    "sns.set(font_scale=1.25)\n",
    "hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# divide datatset into train/test \n",
    "X_train, X_test, y_train, y_test = train_test_split(X_all, y_all,\n",
    "                                                    test_size =0.25,\n",
    "                                                    random_state = 2,\n",
    "                                                    stratify = y_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1046, 25)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Before training, see the importance of the features, reducing fearures for the purpose of overfitting-minimize\n",
    "\n",
    "clf_imp = RandomForestClassifier(n_estimators=50, max_features='sqrt')\n",
    "clf_imp = clf_imp.fit(X_train, y_train)\n",
    "\n",
    "features = pd.DataFrame()\n",
    "features['feature'] = X_train.columns\n",
    "features['importance'] = clf_imp.feature_importances_\n",
    "features.sort_values(by=['importance'], ascending=True, inplace=True)\n",
    "features.set_index('feature', inplace=True)\n",
    "\n",
    "features.plot(kind='barh', figsize=(25, 25))\n",
    "print(X_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_classifier(clf, X_train, y_train):\n",
    "    ''' train model '''\n",
    "\n",
    "    # record train time\n",
    "    start = time()\n",
    "    clf.fit(X_train, y_train)\n",
    "    end = time()\n",
    "    print(\"train time {:.4f} sec\".format(end - start))\n",
    "\n",
    "def predict_labels(clf, features, target):\n",
    "    ''' predict results with trained model '''\n",
    "\n",
    "    # record predict time\n",
    "    start = time()\n",
    "    y_pred = clf.predict(features)\n",
    "    end = time()\n",
    "\n",
    "    print(\"predict time in {:.4f} sec\".format(end - start))\n",
    "    return f1_score(target, y_pred, pos_label=1), sum(target == y_pred) / float(len(y_pred))\n",
    "\n",
    "\n",
    "def train_predict(clf, X_train, y_train, X_test, y_test):\n",
    "    ''' train and evaluate models:'''\n",
    "\n",
    "    # train model \n",
    "    print('train model of : {}, ，number of samples: {}'.format(clf.__class__.__name__,len(X_train)))\n",
    "    train_classifier(clf, X_train, y_train)\n",
    "    \n",
    "    # evaluate model on train/test dataset\n",
    "    f1, acc = predict_labels(clf, X_train, y_train)\n",
    "    print(\"On train dataset: F1 score and accuracy are {:.4f} , {:.4f}.\".format(f1 , acc))\n",
    "\n",
    "    f1, acc = predict_labels(clf, X_test, y_test)\n",
    "    print(\"On test dataset: F1 score and accuracy are: {:.4f} , {:.4f}.\".format(f1 , acc))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train model of : RandomForestClassifier, ，number of samples: 1046\n",
      "train time 0.0960 sec\n",
      "predict time in 0.0125 sec\n",
      "On train dataset: F1 score and accuracy are 0.9989 , 0.9990.\n",
      "predict time in 0.0083 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5817 , 0.6332.\n",
      "****\n",
      "train model of : XGBClassifier, ，number of samples: 1046\n",
      "train time 0.1994 sec\n",
      "predict time in 0.0038 sec\n",
      "On train dataset: F1 score and accuracy are 0.9989 , 0.9990.\n",
      "predict time in 0.0026 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5066 , 0.5702.\n",
      "****\n",
      "train model of : SVC, ，number of samples: 1046\n",
      "train time 2.0859 sec\n",
      "predict time in 0.0947 sec\n",
      "On train dataset: F1 score and accuracy are 0.5903 , 0.6683.\n",
      "predict time in 0.0319 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5953 , 0.6533.\n",
      "****\n",
      "train model of : GradientBoostingClassifier, ，number of samples: 1046\n",
      "train time 0.1510 sec\n",
      "predict time in 0.0036 sec\n",
      "On train dataset: F1 score and accuracy are 0.7354 , 0.7792.\n",
      "predict time in 0.0021 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5443 , 0.6017.\n",
      "****\n",
      "train model of : KNeighborsClassifier, ，number of samples: 1046\n",
      "train time 0.0019 sec\n",
      "predict time in 0.0437 sec\n",
      "On train dataset: F1 score and accuracy are 0.7195 , 0.7629.\n",
      "predict time in 0.0161 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5256 , 0.5759.\n",
      "****\n",
      "train model of : GaussianNB, ，number of samples: 1046\n",
      "train time 0.0030 sec\n",
      "predict time in 0.0017 sec\n",
      "On train dataset: F1 score and accuracy are 0.6245 , 0.6367.\n",
      "predict time in 0.0021 sec\n",
      "On test dataset: F1 score and accuracy are: 0.6371 , 0.6246.\n",
      "****\n",
      "train model of : LogisticRegression, ，number of samples: 1046\n",
      "train time 0.0117 sec\n",
      "predict time in 0.0018 sec\n",
      "On train dataset: F1 score and accuracy are 0.5807 , 0.6549.\n",
      "predict time in 0.0014 sec\n",
      "On test dataset: F1 score and accuracy are: 0.5894 , 0.6447.\n",
      "****\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#Random Forests Model\n",
    "model_rf = RandomForestClassifier(n_estimators=50)\n",
    "\n",
    "#XGBoosting Model\n",
    "model_XGB = xgb.XGBClassifier(seed = 42)\n",
    "\n",
    "#Support Vector Machines\n",
    "model_SVC = SVC(random_state = 42, kernel='rbf',gamma='auto')\n",
    "\n",
    "#Gradient Boosting Classifier\n",
    "model_gboost = GradientBoostingClassifier()\n",
    "\n",
    "#K-nearest neighbors\n",
    "model_knn = KNeighborsClassifier(n_neighbors = 3)\n",
    "\n",
    "#Gaussian Naive Bayes\n",
    "model_gaussianNB = GaussianNB()\n",
    "\n",
    "#Logistic Regression\n",
    "model_logreg = LogisticRegression(random_state = 42)\n",
    "\n",
    "models = [model_rf, model_XGB, model_SVC, model_gboost, model_knn, model_gaussianNB,model_logreg]\n",
    "\n",
    "for model in models:\n",
    "    train_predict(clf=model, X_train=X_train, y_train=y_train,  X_test=X_test, y_test=y_test )\n",
    "    print('****')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 10 folds for each of 324 candidates, totalling 3240 fits\n",
      "Best score: 0.6462362637362637\n",
      "Best parameters: {'bootstrap': True, 'max_depth': 4, 'max_features': 'log2', 'min_samples_leaf': 3, 'min_samples_split': 2, 'n_estimators': 10}\n"
     ]
    }
   ],
   "source": [
    "# turn run_gs to True to run gridsearch again.\n",
    "run_gs = True\n",
    "\n",
    "if run_gs:\n",
    "    parameter_grid = {\n",
    "                 'max_depth' : [4, 6, 8],\n",
    "                 'n_estimators': [50, 10],\n",
    "                 'max_features': ['sqrt', 'auto', 'log2'],\n",
    "                 'min_samples_split': [2, 3, 10],\n",
    "                 'min_samples_leaf': [1, 3, 10],\n",
    "                 'bootstrap': [True, False],\n",
    "                 }\n",
    "    forest = RandomForestClassifier()\n",
    "    cross_validation = StratifiedKFold(n_splits=10)\n",
    "\n",
    "    grid_search = GridSearchCV(forest,\n",
    "                               scoring='accuracy',\n",
    "                               param_grid=parameter_grid,\n",
    "                               cv=cross_validation,\n",
    "                               verbose=1\n",
    "                              )\n",
    "\n",
    "    grid_search.fit(X_train, y_train)\n",
    "    model = grid_search\n",
    "    parameters = grid_search.best_params_\n",
    "\n",
    "    print('Best score: {}'.format(grid_search.best_score_))\n",
    "    print('Best parameters: {}'.format(grid_search.best_params_))\n",
    "    \n",
    "else: \n",
    "    parameters = {'bootstrap': False, 'min_samples_leaf': 3, 'n_estimators': 50, \n",
    "                  'min_samples_split': 10, 'max_features': 'sqrt', 'max_depth': 6}\n",
    "    \n",
    "    model = RandomForestClassifier(**parameters)\n",
    "    model.fit(X_train, y_train)"
   ]
  }
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