{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The watermark extension is already loaded. To reload it, use:\n",
      "  %reload_ext watermark\n",
      "Romell D.Z. \n",
      "last updated: 2018-12-07 \n",
      "\n",
      "numpy 1.15.4\n",
      "pandas 0.23.4\n",
      "matplotlib 2.2.2\n",
      "sklearn 0.20.0\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -a \"Romell D.Z.\" -u -d -p numpy,pandas,matplotlib,sklearn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Supervised Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import division\n",
    "import warnings\n",
    "warnings.simplefilter('ignore' )\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = (12,6) \n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns into dataFrame:\n",
      "Index(['Unnamed: 0', 'poblacion', 'fertilidad', 'VIH', 'CO2', 'IMC_hombres',\n",
      "       'GDP', 'IMC_mujeres', 'esperanza_vida', 'mortalidad_infantil',\n",
      "       'region'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "df_global = pd.read_csv('global_metrics.csv')\n",
    "print('Columns into dataFrame:')\n",
    "print(df_global.columns)\n",
    "df_global = df_global.iloc[:,1:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variables description of Global Statistic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100 entries, 0 to 99\n",
      "Data columns (total 10 columns):\n",
      "poblacion              100 non-null float64\n",
      "fertilidad             100 non-null float64\n",
      "VIH                    100 non-null float64\n",
      "CO2                    100 non-null float64\n",
      "IMC_hombres            100 non-null float64\n",
      "GDP                    100 non-null float64\n",
      "IMC_mujeres            100 non-null float64\n",
      "esperanza_vida         100 non-null float64\n",
      "mortalidad_infantil    100 non-null float64\n",
      "region                 100 non-null object\n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 7.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df_global.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Descriptive statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "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>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>poblacion</th>\n",
       "      <td>4.023559e+07</td>\n",
       "      <td>1.340227e+08</td>\n",
       "      <td>234457.23</td>\n",
       "      <td>3.219080e+06</td>\n",
       "      <td>8926670.020</td>\n",
       "      <td>2.322755e+07</td>\n",
       "      <td>1.273247e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fertilidad</th>\n",
       "      <td>2.714300e+00</td>\n",
       "      <td>1.461026e+00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.487500e+00</td>\n",
       "      <td>2.180</td>\n",
       "      <td>3.920000e+00</td>\n",
       "      <td>7.310000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIH</th>\n",
       "      <td>1.659000e+00</td>\n",
       "      <td>3.389880e+00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>0.445</td>\n",
       "      <td>1.310000e+00</td>\n",
       "      <td>2.300000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CO2</th>\n",
       "      <td>3.269000e+00</td>\n",
       "      <td>4.257969e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>3.450000e-01</td>\n",
       "      <td>1.595</td>\n",
       "      <td>4.590000e+00</td>\n",
       "      <td>2.366000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IMC_hombres</th>\n",
       "      <td>2.219090e+01</td>\n",
       "      <td>3.613695e+00</td>\n",
       "      <td>15.10</td>\n",
       "      <td>1.900750e+01</td>\n",
       "      <td>22.475</td>\n",
       "      <td>2.491750e+01</td>\n",
       "      <td>2.952000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.298642e+04</td>\n",
       "      <td>1.437682e+04</td>\n",
       "      <td>463.87</td>\n",
       "      <td>2.362365e+03</td>\n",
       "      <td>7230.235</td>\n",
       "      <td>1.751293e+04</td>\n",
       "      <td>6.650070e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IMC_mujeres</th>\n",
       "      <td>1.159531e+02</td>\n",
       "      <td>1.546900e+01</td>\n",
       "      <td>84.01</td>\n",
       "      <td>1.063575e+02</td>\n",
       "      <td>117.455</td>\n",
       "      <td>1.283375e+02</td>\n",
       "      <td>1.420100e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>esperanza_vida</th>\n",
       "      <td>6.187010e+01</td>\n",
       "      <td>1.136096e+01</td>\n",
       "      <td>37.67</td>\n",
       "      <td>5.425500e+01</td>\n",
       "      <td>61.840</td>\n",
       "      <td>6.919250e+01</td>\n",
       "      <td>8.801000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mortalidad_infantil</th>\n",
       "      <td>4.281090e+01</td>\n",
       "      <td>4.096852e+01</td>\n",
       "      <td>2.17</td>\n",
       "      <td>8.892500e+00</td>\n",
       "      <td>23.745</td>\n",
       "      <td>7.223250e+01</td>\n",
       "      <td>1.562900e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             mean           std        min           25%  \\\n",
       "poblacion            4.023559e+07  1.340227e+08  234457.23  3.219080e+06   \n",
       "fertilidad           2.714300e+00  1.461026e+00       1.00  1.487500e+00   \n",
       "VIH                  1.659000e+00  3.389880e+00       0.04  1.000000e-01   \n",
       "CO2                  3.269000e+00  4.257969e+00       0.01  3.450000e-01   \n",
       "IMC_hombres          2.219090e+01  3.613695e+00      15.10  1.900750e+01   \n",
       "GDP                  1.298642e+04  1.437682e+04     463.87  2.362365e+03   \n",
       "IMC_mujeres          1.159531e+02  1.546900e+01      84.01  1.063575e+02   \n",
       "esperanza_vida       6.187010e+01  1.136096e+01      37.67  5.425500e+01   \n",
       "mortalidad_infantil  4.281090e+01  4.096852e+01       2.17  8.892500e+00   \n",
       "\n",
       "                             50%           75%           max  \n",
       "poblacion            8926670.020  2.322755e+07  1.273247e+09  \n",
       "fertilidad                 2.180  3.920000e+00  7.310000e+00  \n",
       "VIH                        0.445  1.310000e+00  2.300000e+01  \n",
       "CO2                        1.595  4.590000e+00  2.366000e+01  \n",
       "IMC_hombres               22.475  2.491750e+01  2.952000e+01  \n",
       "GDP                     7230.235  1.751293e+04  6.650070e+04  \n",
       "IMC_mujeres              117.455  1.283375e+02  1.420100e+02  \n",
       "esperanza_vida            61.840  6.919250e+01  8.801000e+01  \n",
       "mortalidad_infantil       23.745  7.223250e+01  1.562900e+02  "
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_global.describe().T.iloc[:,1:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Descriptive analysis about hope of life"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 727
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_global.boxplot('esperanza_vida',by='region',rot=5)\n",
    "plt.title('Hope of life by Region',);plt.xlabel('');plt.ylabel('')\n",
    "plt.savefig('snapshot/global_hope_rate',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 720
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_global.boxplot('fertilidad','region',rot=5,)\n",
    "plt.title('Fertility by Region',);plt.xlabel('');plt.ylabel('')\n",
    "plt.savefig('snapshot/global_fertility_rate',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((100,), (100,))"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df_global['esperanza_vida'].values\n",
    "X = df_global['fertilidad'].values\n",
    "X.shape,y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((100, 1), (100, 1))"
      ]
     },
     "execution_count": 374,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X,y = X.reshape(-1,1), y.reshape(-1,1)\n",
    "X.shape,y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Esperanza de Vida')"
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 719
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the relation between variables\n",
    "plt.scatter(X,y)\n",
    "plt.title('Relation between Fertility & Hope of Life')\n",
    "plt.xlabel('Fertilidad')\n",
    "plt.ylabel('Esperanza de Vida')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The R score: 0.30367885240457204\n",
      "Slope -4.2851 & Intercept: 73.5012\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 719
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression \n",
    "reg = LinearRegression()\n",
    "\n",
    "prediction_space = np.linspace(min(X), max(X)).reshape(-1,1)\n",
    "# Train with all\n",
    "reg.fit(X,y)\n",
    "y_pred = reg.predict(prediction_space)\n",
    "\n",
    "print('The R score:',reg.score(X, y)) # R^2\n",
    "print('Slope %.4f & Intercept: %.4f' % (reg.coef_[0][0],reg.intercept_[0]))\n",
    "\n",
    "plt.scatter(X, y,marker='*')\n",
    "plt.plot(prediction_space, y_pred,marker='+', color='red', linewidth=3)\n",
    "plt.legend(['%.4f %.4f * F ' % (reg.intercept_[0],reg.coef_[0][0])])\n",
    "plt.margins(.05)\n",
    "plt.title('Relation between Fertility & Hope of Life')\n",
    "plt.xlabel('Fertilidad')\n",
    "plt.ylabel('Esperanza de Vida')\n",
    "plt.savefig('snapshot/global_fertility_hopelife',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R^2: 0.6236\n",
      "RMSE: 0.7118\n"
     ]
    }
   ],
   "source": [
    "X = df_global.drop(['fertilidad','region'],axis=1)\n",
    "y = df_global['fertilidad']\n",
    "\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state=42)\n",
    "reg = LinearRegression()\n",
    "reg.fit(X_train,y_train)\n",
    "y_pred = reg.predict(X_test)\n",
    "\n",
    "print(\"R^2: %.4f\" % reg.score(X_test, y_test))\n",
    "rmse = np.sqrt(mean_squared_error(y_test,y_pred))\n",
    "print(\"RMSE: %.4f\" % rmse )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross valuation scores using 7-Fold:\n",
      " [0.58892122 0.60139874 0.5236406  0.8660213  0.86728489 0.63416002\n",
      " 0.72316838]\n",
      "Average 7-Fold CV Score using cross validation: 0.6864\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "cv_scores = cross_val_score(reg,X,y,cv=7)\n",
    "print('Cross valuation scores using 7-Fold:\\n',cv_scores)\n",
    "print(\"Average 7-Fold CV Score using cross validation: %.4f\"%np.mean(cv_scores))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average 10-Fold CV Score using cross validation 0.4719\n"
     ]
    }
   ],
   "source": [
    "print(\"Average 10-Fold CV Score using cross validation %.4f\" % np.mean(cross_val_score(reg,X,y,cv=10)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross valuation scores using 10-ShuffleSplitFold:\n",
      " [0.58892122 0.60139874 0.5236406  0.8660213  0.86728489 0.63416002\n",
      " 0.72316838]\n",
      "Accuary: 0.72 (+/- 0.085)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import ShuffleSplit\n",
    "cv = ShuffleSplit(n_splits=10, test_size=0.3)\n",
    "scores = cross_val_score(reg, X, y, cv=cv)\n",
    "print('Cross valuation scores using 10-ShuffleSplitFold:\\n',cv_scores)\n",
    "print('Accuary: %0.2f (+/- %.3f)' %(scores.mean(),scores.std()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross valuation scores using 5-ShuffleSplitFold:\n",
      " [0.58892122 0.60139874 0.5236406  0.8660213  0.86728489 0.63416002\n",
      " 0.72316838]\n",
      "Accuary: 0.72 (+/- 0.127)\n"
     ]
    }
   ],
   "source": [
    "cv = ShuffleSplit(n_splits=5, test_size=0.25)\n",
    "scores = cross_val_score(reg, X, y, cv=cv)\n",
    "print('Cross valuation scores using 5-ShuffleSplitFold:\\n',cv_scores)\n",
    "print('Accuary: %0.2f (+/- %.3f)' %(scores.mean(),scores.std()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cross valuation scores using StandarScale into pipline:\n",
      " [0.58892122 0.60139874 0.5236406  0.8660213  0.86728489 0.63416002\n",
      " 0.72316838]\n",
      "Accuary with f1_macro: 0.63 (+/- 0.143)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "clf = make_pipeline(StandardScaler(),reg)\n",
    "scores = cross_val_score(clf, X, y, cv=cv,scoring='r2')\n",
    "print('Cross valuation scores using StandarScale into pipline:\\n',cv_scores)\n",
    "print('Accuary with f1_macro: %0.2f (+/- %.3f)' %(scores.mean(),scores.std()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping hope of life\n",
    "X = df_global.drop(['esperanza_vida','region'],axis=1)\n",
    "y = df_global['esperanza_vida'].values\n",
    "df_columns = df_global.drop(['esperanza_vida','region'], axis=1).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lasso Regresion with alpha .4:\n",
      "  [-0.         -0.         -0.26842248  0.          0.          0.\n",
      " -0.         -0.06018599]\n",
      "Lasso Regresion with alpha .2:\n",
      "  [-0.00000000e+00 -3.88439184e-01 -7.03494875e-01  0.00000000e+00\n",
      "  0.00000000e+00  8.82781759e-05 -0.00000000e+00 -6.36624830e-02]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 412,
       "width": 747
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import Lasso\n",
    "\n",
    "lasso4 = Lasso(alpha=0.4,normalize=True)\n",
    "lasso4.fit(X,y)\n",
    "print(\"Lasso Regresion with alpha .4:\\n \",lasso4.coef_)\n",
    "\n",
    "lasso2 = Lasso(alpha=0.2,normalize=True)\n",
    "lasso2.fit(X,y)\n",
    "print(\"Lasso Regresion with alpha .2:\\n \",lasso2.coef_)\n",
    "\n",
    "x_axis = range(len(X.columns))\n",
    "# Plot the coefficients\n",
    "plt.plot(x_axis, lasso4.coef_)\n",
    "plt.plot(x_axis, lasso2.coef_)\n",
    "plt.xticks(x_axis, X.columns.values, rotation=25)\n",
    "plt.grid(True)\n",
    "plt.margins(0.02)\n",
    "plt.title('Coefficients using Lasso Regression')\n",
    "plt.savefig('snapshot/global_lasso_regression',bbox_inches='tight',dpi=100);\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotRidgeRegressionScores(alpha_space,cv_scores, cv_scores_std):\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_subplot(1,1,1)\n",
    "    ax.plot(alpha_space, cv_scores)\n",
    "\n",
    "    std_error = cv_scores_std / np.sqrt(10)\n",
    "\n",
    "    ax.fill_between(alpha_space, cv_scores - std_error, cv_scores + std_error, alpha=0.2)\n",
    "    ax.set_ylabel('CV Score +/- Std Error')\n",
    "    ax.set_xlabel('Alpha')\n",
    "    ax.axhline(np.max(cv_scores), linestyle='--', color='.5')\n",
    "    ax.set_ylim([0,0.5])\n",
    "    ax.set_xlim([alpha_space[0], alpha_space[-1]])\n",
    "    ax.set_xscale('log')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 375,
       "width": 729
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import Ridge\n",
    "\n",
    "alpha_space = np.logspace(-3, 0, 50)\n",
    "ridge_reg_scores = []\n",
    "ridge_reg_scores_std = []\n",
    "\n",
    "ridge = Ridge(normalize=True)\n",
    "\n",
    "for alpha in alpha_space:\n",
    "    ridge.alpha = alpha\n",
    "    ridge_reg_cv_scores = cross_val_score(ridge,X,y,cv=5)\n",
    "    ridge_reg_scores.append(np.mean(ridge_reg_cv_scores))\n",
    "    ridge_reg_scores_std.append(np.std(ridge_reg_cv_scores))\n",
    "\n",
    "plotRidgeRegressionScores(alpha_space,ridge_reg_scores, ridge_reg_scores_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pregnancies', 'glucose', 'diastolic', 'triceps', 'insulin', 'bmi',\n",
       "       'dpf', 'age'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diabetes = pd.read_csv('diabetes.csv').iloc[:,1:]\n",
    "X = diabetes.drop(['diabetes'], axis=1)\n",
    "y = diabetes['diabetes']\n",
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K-Neighboors Classifier score:  0.6666666666666666\n",
      "Callasification Report: \n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "No has Diabetes       0.66      0.89      0.76        44\n",
      "   Has Diabetes       0.69      0.35      0.47        31\n",
      "\n",
      "      micro avg       0.67      0.67      0.67        75\n",
      "      macro avg       0.67      0.62      0.61        75\n",
      "   weighted avg       0.67      0.67      0.64        75\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.25)\n",
    "knn = KNeighborsClassifier(n_neighbors=6)\n",
    "knn.fit(X_train,y_train)\n",
    "y_pred = knn.predict(X_test)\n",
    "\n",
    "print('K-Neighboors Classifier score: ',knn.score(X_test,y_test))\n",
    "print('Callasification Report: \\n',classification_report(y_test, y_pred,target_names=['No has Diabetes','Has Diabetes']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K-Neighboors Classifier score:  0.64\n",
      "Callasification Report: \n",
      "                  precision    recall  f1-score   support\n",
      "\n",
      "No has Diabetes       0.68      0.86      0.76        49\n",
      "   Has Diabetes       0.46      0.23      0.31        26\n",
      "\n",
      "      micro avg       0.64      0.64      0.64        75\n",
      "      macro avg       0.57      0.54      0.53        75\n",
      "   weighted avg       0.60      0.64      0.60        75\n",
      "\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.25,stratify=y)\n",
    "knn = KNeighborsClassifier(n_neighbors=6)\n",
    "knn.fit(X_train,y_train)\n",
    "y_pred = knn.predict(X_test)\n",
    "\n",
    "print('K-Neighboors Classifier score: ',knn.score(X_test,y_test))\n",
    "print('Callasification Report: \\n',classification_report(y_test, y_pred,target_names=['No has Diabetes','Has Diabetes']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 728
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighbors = np.arange(1, 15)\n",
    "train = np.empty(len(neighbors))\n",
    "test = np.empty(len(neighbors))\n",
    "for i, k in enumerate(neighbors):\n",
    "    knn = KNeighborsClassifier(n_neighbors=k)\n",
    "    knn.fit(X_train,y_train)\n",
    "    train[i] = knn.score(X_train, y_train)\n",
    "    test[i] = knn.score(X_test, y_test)\n",
    "\n",
    "plt.title('k-Nearst Neighbors: Varying Number of Neighbors')\n",
    "plt.plot(neighbors, train, label = 'Training Accuracy')\n",
    "plt.plot(neighbors, test, label = 'Testing Accuracy')\n",
    "plt.legend(loc='best')\n",
    "plt.xlabel('Number of Neighbors')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.savefig('snapshot/global_varying_knn_numbers',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Best Neighbors k is 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 722
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve,roc_auc_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "logreg = LogisticRegression()\n",
    "logreg.fit(X_train,y_train)\n",
    "\n",
    "y_pred = logreg.predict(X_test)\n",
    "y_pred_prob = logreg.predict_proba(X_test)[:,1]\n",
    "\n",
    "fpr,tpr, thresholds = roc_curve(y_test, y_pred_prob)\n",
    "\n",
    "# Plot ROC curve\n",
    "plt.plot([0, 1], [0, 1], 'k--')\n",
    "plt.plot(fpr, tpr)\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.legend(['Random Math','ROC AUC score: %.4f'%roc_auc_score(y_test,y_pred)])\n",
    "plt.title('ROC Curve: Logistic Regression')\n",
    "plt.savefig('snapshot/global_roc_logistic_regression',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MEAN of AUC for 10-fold: 0.8057\n"
     ]
    }
   ],
   "source": [
    "cv_auc = cross_val_score(logreg,X,y,cv=10,scoring='roc_auc')\n",
    "\n",
    "print(\"MEAN of AUC for 10-fold: %.4f\" % np.mean(cv_auc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression best Parameters: {'C': 3.727593720314938, 'penalty': 'l2'}\n",
      "Best score 0.7822\n",
      "Logistic Regression R squared: 0.7333333333333333\n",
      "Logistic Regression MSE: 0.26666666666666666\n",
      "AUC: 0.7990580847723705\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "c_space = np.logspace(-5, 8, 15)\n",
    "param_grid = {'C': c_space,'penalty':['l1','l2']}\n",
    "\n",
    "logreg_cv = GridSearchCV(logreg, param_grid, cv=5)\n",
    "logreg_cv.fit(X_train,y_train)\n",
    "y_pred = logreg_cv.predict(X_test)\n",
    "y_pred_prob = logreg_cv.predict_proba(X_test)[:,1]\n",
    "r2 = logreg_cv.score(X_test, y_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "\n",
    "print(\"Logistic Regression best Parameters: %s\"%logreg_cv.best_params_)\n",
    "print(\"Best score %.4f\" % logreg_cv.best_score_)\n",
    "print(\"Logistic Regression R squared: {}\".format(r2))\n",
    "print(\"Logistic Regression MSE: {}\".format(mse))\n",
    "print(\"AUC: {}\".format(roc_auc_score(y_test, y_pred_prob)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decision Tree best parameters: {'criterion': 'gini', 'max_depth': 5, 'max_features': 7, 'min_samples_leaf': 3}\n",
      "Best score 0.7733\n",
      "DecisionTreeClassifier R squared: 0.6133333333333333\n",
      "DecisionTreeClassifier MSE: 0.38666666666666666\n",
      "AUC: 0.6040031397174255\n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import randint\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "param_dist = {\"max_depth\": [3,5,7, None],\n",
    "              \"max_features\": randint(1, 9),\n",
    "              \"min_samples_leaf\": randint(1, 9),\n",
    "              \"criterion\": [\"gini\", \"entropy\"]}\n",
    "\n",
    "tree = DecisionTreeClassifier()\n",
    "tree_cv = RandomizedSearchCV(tree, param_dist, cv=5)\n",
    "tree_cv.fit(X_train,y_train)\n",
    "y_pred = tree_cv.predict(X_test)\n",
    "y_pred_prob = tree_cv.predict_proba(X_test)[:,1]\n",
    "r2 = tree_cv.score(X_test, y_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "\n",
    "print(\"Decision Tree best parameters: %s\"%tree_cv.best_params_)\n",
    "print(\"Best score %.4f\"%tree_cv.best_score_)\n",
    "print(\"DecisionTreeClassifier R squared: {}\".format(r2))\n",
    "print(\"DecisionTreeClassifier MSE: {}\".format(mse))\n",
    "print(\"AUC: {}\".format(roc_auc_score(y_test, y_pred_prob)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tuned ElasticNet best params: {'l1_ratio': -0.10344827586206895}\n",
      "Tuned ElasticNet R squared: 0.20226419829834874\n",
      "Tuned ElasticNet MSE: 0.18067829535429394\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import ElasticNet\n",
    "from sklearn.metrics import mean_squared_error\n",
    "l1_space = np.linspace(-1, 1, 30)\n",
    "param_grid = {'l1_ratio': l1_space}\n",
    "\n",
    "elastic_net = ElasticNet()\n",
    "gm_cv = GridSearchCV(elastic_net, param_grid, cv=5)\n",
    "gm_cv.fit(X_train,y_train)\n",
    "\n",
    "y_pred = gm_cv.predict(X_test)\n",
    "r2 = gm_cv.score(X_test, y_test)\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "\n",
    "print(\"Tuned ElasticNet best params: {}\".format(gm_cv.best_params_))\n",
    "print(\"Tuned ElasticNet R squared: {}\".format(r2))\n",
    "print(\"Tuned ElasticNet MSE: {}\".format(mse))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['poblacion', 'fertilidad', 'VIH', 'CO2', 'IMC_hombres', 'GDP',\n",
       "       'IMC_mujeres', 'esperanza_vida', 'mortalidad_infantil',\n",
       "       'region_East Asia & Pacific', 'region_Europe & Central Asia',\n",
       "       'region_Middle East & North Africa', 'region_South Asia',\n",
       "       'region_Sub-Saharan Africa'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_global_dummy = pd.get_dummies(df_global,drop_first=True) # bye bye region_America\n",
    "df_global_dummy.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "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>region_East Asia &amp; Pacific</th>\n",
       "      <th>region_Europe &amp; Central Asia</th>\n",
       "      <th>region_Middle East &amp; North Africa</th>\n",
       "      <th>region_South Asia</th>\n",
       "      <th>region_Sub-Saharan Africa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   region_East Asia & Pacific  region_Europe & Central Asia  \\\n",
       "2                           0                             0   \n",
       "\n",
       "   region_Middle East & North Africa  region_South Asia  \\\n",
       "2                                  0                  0   \n",
       "\n",
       "   region_Sub-Saharan Africa  \n",
       "2                          0  "
      ]
     },
     "execution_count": 397,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# if region_America is selected:\n",
    "df_global_dummy.iloc[2:3,-5:] # dummy variables has zero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.61589574 0.83313581 0.83750226 0.78407656 0.73092812]\n",
      "0.7603076976619751\n"
     ]
    }
   ],
   "source": [
    "X = df_global_dummy.drop('fertilidad',axis=1)\n",
    "y = df_global_dummy[['fertilidad']]\n",
    "from sklearn.linear_model import Ridge\n",
    "\n",
    "ridge = Ridge(alpha=0.5,normalize=True)\n",
    "ridge_cv = cross_val_score(ridge,X,y,cv=5)\n",
    "print(ridge_cv)\n",
    "print(np.mean(ridge_cv))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 468,
       "width": 756
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ridge.fit(X,y)\n",
    "plt.plot(range(len(ridge.coef_[0])),ridge.coef_[0])\n",
    "plt.xticks(range(len(ridge.coef_[0])),X.columns,rotation=35)\n",
    "plt.ylabel('Coefficient Values')\n",
    "plt.title('Coefficients using Ridge Regression')\n",
    "plt.savefig('snapshot/global_ridge_regression',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = diabetes.drop(['diabetes'], axis=1)\n",
    "y = diabetes['diabetes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 300 entries, 0 to 299\n",
      "Data columns (total 8 columns):\n",
      "pregnancies    293 non-null float64\n",
      "glucose        293 non-null float64\n",
      "diastolic      297 non-null float64\n",
      "triceps        294 non-null float64\n",
      "insulin        298 non-null float64\n",
      "bmi            297 non-null float64\n",
      "dpf            298 non-null float64\n",
      "age            300 non-null int64\n",
      "dtypes: float64(7), int64(1)\n",
      "memory usage: 18.8 KB\n"
     ]
    }
   ],
   "source": [
    "for i in range(30):\n",
    "    idx = np.random.choice(np.arange(len(X)),1)\n",
    "    idy = np.random.choice(np.arange(len(X.columns[:-1])),1)\n",
    "    X.iloc[idx,idy] = np.nan\n",
    "    \n",
    "X.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pregnancies    7\n",
       "glucose        7\n",
       "diastolic      3\n",
       "triceps        6\n",
       "insulin        2\n",
       "bmi            3\n",
       "dpf            2\n",
       "age            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.3,stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "imp = SimpleImputer(missing_values=np.NaN, strategy='mean')\n",
    "X_clean = pd.DataFrame(imp.fit_transform(X),columns=X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Are there any value null o fail value?\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "pregnancies    0\n",
       "glucose        0\n",
       "diastolic      0\n",
       "triceps        0\n",
       "insulin        0\n",
       "bmi            0\n",
       "dpf            0\n",
       "age            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 405,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Are there any value null o fail value?')\n",
    "X_clean.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.66      1.00      0.79        59\n",
      "           1       0.00      0.00      0.00        31\n",
      "\n",
      "   micro avg       0.66      0.66      0.66        90\n",
      "   macro avg       0.33      0.50      0.40        90\n",
      "weighted avg       0.43      0.66      0.52        90\n",
      "\n",
      "ROC AUC: 0.5000\n"
     ]
    }
   ],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.pipeline import Pipeline\n",
    "\n",
    "imp = SimpleImputer(missing_values=np.NaN, strategy='mean')\n",
    "svm = SVC(probability=True)\n",
    "\n",
    "steps = [('imputer', imp), ('SVM', svm)]\n",
    "pipeline = Pipeline(steps)\n",
    "pipeline.fit(X_train,y_train)\n",
    "y_pred = pipeline.predict(X_test)\n",
    "y_pred_prob_svm = pipeline.predict_proba(X_test)[:,1]\n",
    "\n",
    "print('classification report:\\n',classification_report(y_test, y_pred))\n",
    "print(\"ROC AUC: %.4f\"%roc_auc_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.72      0.71      0.72        59\n",
      "           1       0.47      0.48      0.48        31\n",
      "\n",
      "   micro avg       0.63      0.63      0.63        90\n",
      "   macro avg       0.60      0.60      0.60        90\n",
      "weighted avg       0.64      0.63      0.63        90\n",
      "\n",
      "ROC AUC: 0.5979\n"
     ]
    }
   ],
   "source": [
    "steps = [('imputer', imp), ('knn', KNeighborsClassifier())]\n",
    "pipeline = Pipeline(steps)\n",
    "pipeline.fit(X_train,y_train)\n",
    "y_pred = pipeline.predict(X_test)\n",
    "y_pred_prob_knn = pipeline.predict_proba(X_test)[:,1]\n",
    "\n",
    "print('classification report:\\n',classification_report(y_test, y_pred))\n",
    "print(\"ROC AUC: %.4f\"%roc_auc_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.86      0.82        59\n",
      "           1       0.68      0.55      0.61        31\n",
      "\n",
      "   micro avg       0.76      0.76      0.76        90\n",
      "   macro avg       0.73      0.71      0.71        90\n",
      "weighted avg       0.75      0.76      0.75        90\n",
      "\n",
      "ROC AUC: 0.7064\n"
     ]
    }
   ],
   "source": [
    "steps = [('imputer', imp), ('knn', LogisticRegression())]\n",
    "pipeline = Pipeline(steps)\n",
    "pipeline.fit(X_train,y_train)\n",
    "y_pred = pipeline.predict(X_test)\n",
    "y_pred_prob_lgr = pipeline.predict_proba(X_test)[:,1]\n",
    "\n",
    "print('classification report:\\n',classification_report(y_test, y_pred))\n",
    "print(\"ROC AUC: %.4f\"%roc_auc_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.69      0.78      0.73        59\n",
      "           1       0.43      0.32      0.37        31\n",
      "\n",
      "   micro avg       0.62      0.62      0.62        90\n",
      "   macro avg       0.56      0.55      0.55        90\n",
      "weighted avg       0.60      0.62      0.61        90\n",
      "\n",
      "ROC AUC: 0.5511\n"
     ]
    }
   ],
   "source": [
    "steps = [('imputer', imp), ('knn', DecisionTreeClassifier(max_depth=5))]\n",
    "pipeline = Pipeline(steps)\n",
    "pipeline.fit(X_train,y_train)\n",
    "y_pred = pipeline.predict(X_test)\n",
    "y_pred_prob_dtc = pipeline.predict_proba(X_test)[:,1]\n",
    "\n",
    "print('classification report:\\n',classification_report(y_test, y_pred))\n",
    "print(\"ROC AUC: %.4f\"%roc_auc_score(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "classification report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.75      0.69      0.72        59\n",
      "           1       0.49      0.55      0.52        31\n",
      "\n",
      "   micro avg       0.64      0.64      0.64        90\n",
      "   macro avg       0.62      0.62      0.62        90\n",
      "weighted avg       0.66      0.64      0.65        90\n",
      "\n",
      "KNN with 5 neighbors, Test Accuracy: 0.6444\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "\n",
    "pipeline = Pipeline([('imputer',imp),\n",
    "                     ('scaler', StandardScaler()), \n",
    "                     ('knn', KNeighborsClassifier(n_neighbors=5))])\n",
    "knn_standar_scale = pipeline.fit(X_train,y_train)\n",
    "y_pred = knn_standar_scale.predict(X_test)\n",
    "y_pred_prob_knn_ss = knn_standar_scale.predict_proba(X_test)[:,1]\n",
    "\n",
    "print('classification report:\\n',classification_report(y_test, y_pred))\n",
    "print('KNN with 5 neighbors, Test Accuracy: %.4f'%knn_standar_scale.score(X_test,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 722
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import auc\n",
    "for label,y_pred_prob in zip([\"SVM\",\"KNN\",\"LGR\",\"DTC\",\"KNN_SS\"],\n",
    "                    [y_pred_prob_svm,y_pred_prob_knn,y_pred_prob_lgr,y_pred_prob_dtc,y_pred_prob_knn_ss]):\n",
    "    fpr,tpr, _ = roc_curve(y_test, y_pred_prob)\n",
    "    plt.plot(fpr, tpr,label=label+str(\", AUC: %.4f\"%auc(fpr,tpr)))\n",
    "\n",
    "plt.plot([0, 1], [0, 1], 'k--')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.legend()\n",
    "plt.title('Benchmarking between ROCs & AUCs')\n",
    "plt.savefig('snapshot/global_benchmarking',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# KNN SELECTED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_sizes: [ 24  39  54  70  85 101 116 132 147 162 178 193 209 224 240]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 734
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import learning_curve\n",
    "from sklearn.model_selection import ShuffleSplit\n",
    "plt.figure()\n",
    "plt.title(\"KNN-6 Learning Curve\")\n",
    "plt.xlabel(\"Training examples\")\n",
    "plt.ylabel(\"Score\")\n",
    "cv = ShuffleSplit(n_splits=100, test_size=0.2)\n",
    "train_sizes, train_scores, test_scores = learning_curve(\n",
    "    knn_standar_scale, X, y, cv=cv, n_jobs=3, train_sizes=np.linspace(.1, 1.0, 15))\n",
    "train_scores_mean = np.mean(train_scores, axis=1)\n",
    "train_scores_std = np.std(train_scores, axis=1)\n",
    "test_scores_mean = np.mean(test_scores, axis=1)\n",
    "test_scores_std = np.std(test_scores, axis=1)\n",
    "plt.grid()\n",
    "print('train_sizes:',train_sizes)\n",
    "plt.fill_between(train_sizes, train_scores_mean - train_scores_std,\n",
    "                 train_scores_mean + train_scores_std, alpha=0.1,\n",
    "                 color=\"r\")\n",
    "plt.fill_between(train_sizes, test_scores_mean - test_scores_std,\n",
    "                 test_scores_mean + test_scores_std, alpha=0.1, color=\"g\")\n",
    "plt.plot(train_sizes, train_scores_mean, 'o-', color=\"r\",\n",
    "         label=\"Training score\")\n",
    "plt.plot(train_sizes, test_scores_mean, 'o-', color=\"g\",\n",
    "         label=\"Cross-validation score\")\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.savefig('snapshot/global_knn6_learning_curve',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'memory': None,\n",
       " 'steps': [('imputer',\n",
       "   Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0)),\n",
       "  ('scaler', StandardScaler(copy=True, with_mean=True, with_std=True)),\n",
       "  ('knn',\n",
       "   KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "              metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
       "              weights='uniform'))],\n",
       " 'imputer': Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0),\n",
       " 'scaler': StandardScaler(copy=True, with_mean=True, with_std=True),\n",
       " 'knn': KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "            metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
       "            weights='uniform'),\n",
       " 'imputer__axis': 0,\n",
       " 'imputer__copy': True,\n",
       " 'imputer__missing_values': 'NaN',\n",
       " 'imputer__strategy': 'mean',\n",
       " 'imputer__verbose': 0,\n",
       " 'scaler__copy': True,\n",
       " 'scaler__with_mean': True,\n",
       " 'scaler__with_std': True,\n",
       " 'knn__algorithm': 'auto',\n",
       " 'knn__leaf_size': 30,\n",
       " 'knn__metric': 'minkowski',\n",
       " 'knn__metric_params': None,\n",
       " 'knn__n_jobs': None,\n",
       " 'knn__n_neighbors': 5,\n",
       " 'knn__p': 2,\n",
       " 'knn__weights': 'uniform'}"
      ]
     },
     "execution_count": 413,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_standar_scale.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.85604167 0.81075    0.83129167 0.79320833 0.81166667 0.78079167\n",
      " 0.79716667 0.77504167 0.7915     0.77729167 0.79120833 0.77904167] [0.01460564 0.01489757 0.01315631 0.01615523 0.0152525  0.01684174\n",
      " 0.01758787 0.01845128 0.01407963 0.01723384 0.01551092 0.01581638]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 728
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "param_range = np.linspace(3,14,12,dtype=int)\n",
    "from sklearn.model_selection import validation_curve\n",
    "train_scores, test_scores = validation_curve(\n",
    "    knn_standar_scale, X, y, param_name=\"knn__n_neighbors\", param_range=param_range,\n",
    "    cv=cv, scoring=\"accuracy\", n_jobs=3)\n",
    "train_scores_mean = np.mean(train_scores, axis=1)\n",
    "train_scores_std = np.std(train_scores, axis=1)\n",
    "test_scores_mean = np.mean(test_scores, axis=1)\n",
    "test_scores_std = np.std(test_scores, axis=1)\n",
    "\n",
    "plt.title(\"KNN-6 Validation Curve\")\n",
    "plt.xlabel(\"n neighbors\")\n",
    "plt.ylabel(\"Score\")\n",
    "plt.ylim(.6, 1)\n",
    "lw = 2\n",
    "plt.plot(param_range, train_scores_mean, label=\"Training score\",\n",
    "             color=\"darkorange\", lw=lw)\n",
    "plt.fill_between(param_range, train_scores_mean - train_scores_std,\n",
    "                 train_scores_mean + train_scores_std, alpha=0.2,\n",
    "                 color=\"darkorange\", lw=lw)\n",
    "plt.plot(param_range, test_scores_mean, label=\"Cross-validation score\",\n",
    "             color=\"navy\", lw=lw)\n",
    "plt.fill_between(param_range, test_scores_mean - test_scores_std,\n",
    "                 test_scores_mean + test_scores_std, alpha=0.2,\n",
    "                 color=\"navy\", lw=lw)\n",
    "print(train_scores_mean, train_scores_std)\n",
    "plt.legend(loc=\"best\")\n",
    "plt.savefig('snapshot/global_knn6_validation_curve',bbox_inches='tight',dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KNeighbors classifier - Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.78      0.85      0.81        59\n",
      "           1       0.65      0.55      0.60        31\n",
      "\n",
      "   micro avg       0.74      0.74      0.74        90\n",
      "   macro avg       0.72      0.70      0.70        90\n",
      "weighted avg       0.74      0.74      0.74        90\n",
      "\n",
      "Best Parameters: {'knn__n_neighbors': 7}\n",
      "Best Accuracy: 0.7286\n",
      "Test Accuracy: 0.7444\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('imputer',imp),\n",
    "                     ('scaler', StandardScaler()), \n",
    "                     ('knn', KNeighborsClassifier())])\n",
    "parameters = {'knn__n_neighbors':[3,4,5,6,7]}\n",
    "\n",
    "cv = GridSearchCV(pipeline,param_grid=parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print('KNeighbors classifier - Classification Report: \\n',classification_report(y_test, y_pred))\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best Accuracy: %.4f\"%cv.best_score_)\n",
    "print(\"Test Accuracy: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Support Vector Classification - Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.82      0.83      0.82        59\n",
      "           1       0.67      0.65      0.66        31\n",
      "\n",
      "   micro avg       0.77      0.77      0.77        90\n",
      "   macro avg       0.74      0.74      0.74        90\n",
      "weighted avg       0.76      0.77      0.77        90\n",
      "\n",
      "Best Parameters: {'SVM__C': 1, 'SVM__gamma': 0.1}\n",
      "Best Accuracy: 0.7810\n",
      "Test Accuracy: 0.7667\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('imputer',imp),\n",
    "                     ('scaler', StandardScaler()), \n",
    "                     ('SVM', SVC())])\n",
    "parameters = {'SVM__C':[1, 10, 100],\n",
    "              'SVM__gamma':[0.1,0.01, 0.001]}\n",
    "\n",
    "cv = GridSearchCV(pipeline,param_grid=parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print('Support Vector Classification - Classification Report: \\n',classification_report(y_test, y_pred))\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best Accuracy: %.4f\"%cv.best_score_)\n",
    "print(\"Test Accuracy: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.90      0.87        59\n",
      "           1       0.78      0.68      0.72        31\n",
      "\n",
      "   micro avg       0.82      0.82      0.82        90\n",
      "   macro avg       0.81      0.79      0.80        90\n",
      "weighted avg       0.82      0.82      0.82        90\n",
      "\n",
      "Best Parameters: {'lgr__C': 1, 'lgr__penalty': 'l1'}\n",
      "Best Accuracy: 0.7476\n",
      "Test Accuracy: 0.8222\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('imputer',imp),\n",
    "                     ('scaler', StandardScaler()), \n",
    "                     ('lgr', LogisticRegression())])\n",
    "parameters = {'lgr__C':[1, 10, 100],\n",
    "              'lgr__penalty':['l1', 'l2']}\n",
    "\n",
    "cv = GridSearchCV(pipeline,param_grid=parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print('Logistic regression Classification Report: \\n',classification_report(y_test, y_pred))\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best Accuracy: %.4f\"%cv.best_score_)\n",
    "print(\"Test Accuracy: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decision tree classifier Callasification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.73      0.78      0.75        59\n",
      "           1       0.52      0.45      0.48        31\n",
      "\n",
      "   micro avg       0.67      0.67      0.67        90\n",
      "   macro avg       0.62      0.62      0.62        90\n",
      "weighted avg       0.66      0.67      0.66        90\n",
      "\n",
      "Best Parameters: {'tree__criterion': 'entropy', 'tree__max_depth': 5, 'tree__max_features': 8, 'tree__min_samples_leaf': 6}\n",
      "Best Accuracy: 0.7333\n",
      "Test Accuracy: 0.6667\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('imputer',imp),\n",
    "                     ('scaler', StandardScaler()), \n",
    "                     ('tree', DecisionTreeClassifier())])\n",
    "parameters = {\"tree__max_depth\": [3,5,7, None],\n",
    "              \"tree__max_features\": randint(1, 9),\n",
    "              \"tree__min_samples_leaf\": randint(1, 9),\n",
    "              \"tree__criterion\": [\"gini\", \"entropy\"]}\n",
    "\n",
    "cv = RandomizedSearchCV(pipeline,parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print('Decision tree classifier Callasification Report: \\n',classification_report(y_test, y_pred))\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best Accuracy: %.4f\"%cv.best_score_)\n",
    "print(\"Test Accuracy: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_global_dummy.drop(['esperanza_vida'], axis=1)\n",
    "y = df_global_dummy['esperanza_vida']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.4,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'elasticnet__l1_ratio': 0.9, 'elasticnet__normalize': False, 'elasticnet__selection': 'random'}\n",
      "Best R^2: 0.1809\n",
      "Test R^2: 0.3211\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('scaler', StandardScaler()),\n",
    "                     ('elasticnet', ElasticNet())])\n",
    "\n",
    "parameters = {\"elasticnet__l1_ratio\": np.linspace(0.1,0.9,9),\n",
    "              \"elasticnet__normalize\": [True,False],\n",
    "              \"elasticnet__selection\": ['cyclic','random']}\n",
    "\n",
    "cv = GridSearchCV(pipeline,parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best R^2: %.4f\"%cv.best_score_)\n",
    "print(\"Test R^2: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'lasso__alpha': 0.39473684210526305, 'lasso__normalize': True, 'lasso__selection': 'cyclic'}\n",
      "Best R^2: 0.2985\n",
      "Test R^2: 0.2227\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('scaler', StandardScaler()),\n",
    "                     ('lasso', Lasso())])\n",
    "\n",
    "parameters = {\"lasso__alpha\": np.linspace(-0.5,0.5,20),\n",
    "              \"lasso__normalize\": [True,False],\n",
    "              \"lasso__selection\": ['cyclic','random']}\n",
    "\n",
    "cv = GridSearchCV(pipeline,parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best R^2: %.4f\"%cv.best_score_)\n",
    "print(\"Test R^2: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Parameters: {'ridge__alpha': 1.0, 'ridge__normalize': True}\n",
      "Best R^2: 0.1444651029422469\n",
      "Test R^2: 0.3268\n"
     ]
    }
   ],
   "source": [
    "pipeline = Pipeline([('scaler', StandardScaler()),\n",
    "                     ('ridge', Ridge())])\n",
    "\n",
    "parameters = {\"ridge__alpha\": np.linspace(-1,1,20),\n",
    "              \"ridge__normalize\": [True,False]}\n",
    "\n",
    "cv = GridSearchCV(pipeline,parameters)\n",
    "cv.fit(X_train,y_train)\n",
    "y_pred = cv.predict(X_test)\n",
    "\n",
    "print(\"Best Parameters: %s\"%cv.best_params_)\n",
    "print(\"Best R^2: {}\".format(cv.best_score_))\n",
    "print(\"Test R^2: %.4f\"%cv.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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