Rainfall-Regression (1).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c0b33cb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import LinearRegression, Lasso, Ridge\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1de879fd",
   "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>omega_x</th>\n",
       "      <th>omega_y</th>\n",
       "      <th>omega</th>\n",
       "      <th>pr_wtr</th>\n",
       "      <th>rhum_x</th>\n",
       "      <th>rhum_y</th>\n",
       "      <th>rhum</th>\n",
       "      <th>slp</th>\n",
       "      <th>tmp_y</th>\n",
       "      <th>tmp</th>\n",
       "      <th>uwnd_x</th>\n",
       "      <th>uwnd_y</th>\n",
       "      <th>uwnd</th>\n",
       "      <th>vwnd_x</th>\n",
       "      <th>vwnd_y</th>\n",
       "      <th>vwnd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1948-01-01</th>\n",
       "      <td>0.043999</td>\n",
       "      <td>-0.005003</td>\n",
       "      <td>-0.050001</td>\n",
       "      <td>9.959991</td>\n",
       "      <td>22.25</td>\n",
       "      <td>42.50</td>\n",
       "      <td>47.500015</td>\n",
       "      <td>101910.0</td>\n",
       "      <td>281.41998</td>\n",
       "      <td>296.07000</td>\n",
       "      <td>16.120010</td>\n",
       "      <td>4.600006</td>\n",
       "      <td>-1.879990</td>\n",
       "      <td>-1.209992</td>\n",
       "      <td>-0.589996</td>\n",
       "      <td>-1.989990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-02</th>\n",
       "      <td>0.094997</td>\n",
       "      <td>0.104998</td>\n",
       "      <td>0.006998</td>\n",
       "      <td>9.519989</td>\n",
       "      <td>19.50</td>\n",
       "      <td>32.75</td>\n",
       "      <td>51.250015</td>\n",
       "      <td>102190.0</td>\n",
       "      <td>282.12000</td>\n",
       "      <td>295.99000</td>\n",
       "      <td>18.000015</td>\n",
       "      <td>3.570007</td>\n",
       "      <td>-3.589996</td>\n",
       "      <td>-5.759995</td>\n",
       "      <td>-4.379990</td>\n",
       "      <td>-4.009995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-03</th>\n",
       "      <td>0.038998</td>\n",
       "      <td>0.036999</td>\n",
       "      <td>0.013998</td>\n",
       "      <td>10.220001</td>\n",
       "      <td>25.50</td>\n",
       "      <td>25.50</td>\n",
       "      <td>52.750015</td>\n",
       "      <td>102222.0</td>\n",
       "      <td>282.25000</td>\n",
       "      <td>295.91998</td>\n",
       "      <td>13.820007</td>\n",
       "      <td>3.570007</td>\n",
       "      <td>-2.759994</td>\n",
       "      <td>-3.939987</td>\n",
       "      <td>-1.909988</td>\n",
       "      <td>-1.259994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-04</th>\n",
       "      <td>0.264997</td>\n",
       "      <td>0.215998</td>\n",
       "      <td>0.077997</td>\n",
       "      <td>9.470001</td>\n",
       "      <td>11.25</td>\n",
       "      <td>15.75</td>\n",
       "      <td>50.500015</td>\n",
       "      <td>102042.0</td>\n",
       "      <td>282.20000</td>\n",
       "      <td>295.87000</td>\n",
       "      <td>14.750015</td>\n",
       "      <td>5.000015</td>\n",
       "      <td>-1.089996</td>\n",
       "      <td>-16.789993</td>\n",
       "      <td>-7.789993</td>\n",
       "      <td>-5.259995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-05</th>\n",
       "      <td>0.100998</td>\n",
       "      <td>0.128998</td>\n",
       "      <td>0.016998</td>\n",
       "      <td>11.269989</td>\n",
       "      <td>39.75</td>\n",
       "      <td>33.25</td>\n",
       "      <td>47.000015</td>\n",
       "      <td>102215.0</td>\n",
       "      <td>282.34998</td>\n",
       "      <td>295.80000</td>\n",
       "      <td>27.470001</td>\n",
       "      <td>9.320007</td>\n",
       "      <td>-3.309998</td>\n",
       "      <td>-12.139984</td>\n",
       "      <td>-6.079987</td>\n",
       "      <td>-3.259994</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             omega_x   omega_y     omega     pr_wtr  rhum_x  rhum_y  \\\n",
       "time                                                                  \n",
       "1948-01-01  0.043999 -0.005003 -0.050001   9.959991   22.25   42.50   \n",
       "1948-01-02  0.094997  0.104998  0.006998   9.519989   19.50   32.75   \n",
       "1948-01-03  0.038998  0.036999  0.013998  10.220001   25.50   25.50   \n",
       "1948-01-04  0.264997  0.215998  0.077997   9.470001   11.25   15.75   \n",
       "1948-01-05  0.100998  0.128998  0.016998  11.269989   39.75   33.25   \n",
       "\n",
       "                 rhum       slp      tmp_y        tmp     uwnd_x    uwnd_y  \\\n",
       "time                                                                         \n",
       "1948-01-01  47.500015  101910.0  281.41998  296.07000  16.120010  4.600006   \n",
       "1948-01-02  51.250015  102190.0  282.12000  295.99000  18.000015  3.570007   \n",
       "1948-01-03  52.750015  102222.0  282.25000  295.91998  13.820007  3.570007   \n",
       "1948-01-04  50.500015  102042.0  282.20000  295.87000  14.750015  5.000015   \n",
       "1948-01-05  47.000015  102215.0  282.34998  295.80000  27.470001  9.320007   \n",
       "\n",
       "                uwnd     vwnd_x    vwnd_y      vwnd  \n",
       "time                                                 \n",
       "1948-01-01 -1.879990  -1.209992 -0.589996 -1.989990  \n",
       "1948-01-02 -3.589996  -5.759995 -4.379990 -4.009995  \n",
       "1948-01-03 -2.759994  -3.939987 -1.909988 -1.259994  \n",
       "1948-01-04 -1.089996 -16.789993 -7.789993 -5.259995  \n",
       "1948-01-05 -3.309998 -12.139984 -6.079987 -3.259994  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"cleaned_rainfall_data.csv\", index_col=\"time\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40e5665c",
   "metadata": {},
   "source": [
    "## PRE-PROCESSING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "83f6094b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.heatmap(df.corr(), annot=True, cmap=\"coolwarm\", vmin=-1, vmax=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6994765",
   "metadata": {},
   "source": [
    "The heatmap shows there are corelations among the variable, hence there is need to de-correlate this variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8eb8b892",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(\"pr_wtr\", axis=1)\n",
    "y = df[\"pr_wtr\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5155971e",
   "metadata": {},
   "source": [
    "## SPLIT\n",
    "We will be using a vertical split due to the time series nature of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4e476e9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "cutoff = int(len(X) * 0.8)\n",
    "X_train, y_train = X.iloc[:cutoff], y.iloc[:cutoff]\n",
    "X_test, y_test = X.iloc[cutoff:], y.iloc[cutoff:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f98334b6",
   "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>omega_x</th>\n",
       "      <th>omega_y</th>\n",
       "      <th>omega</th>\n",
       "      <th>rhum_x</th>\n",
       "      <th>rhum_y</th>\n",
       "      <th>rhum</th>\n",
       "      <th>slp</th>\n",
       "      <th>tmp_y</th>\n",
       "      <th>tmp</th>\n",
       "      <th>uwnd_x</th>\n",
       "      <th>uwnd_y</th>\n",
       "      <th>uwnd</th>\n",
       "      <th>vwnd_x</th>\n",
       "      <th>vwnd_y</th>\n",
       "      <th>vwnd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1948-01-01</th>\n",
       "      <td>0.105960</td>\n",
       "      <td>-0.137678</td>\n",
       "      <td>-0.175569</td>\n",
       "      <td>-0.151977</td>\n",
       "      <td>-0.157593</td>\n",
       "      <td>0.798035</td>\n",
       "      <td>1.451014</td>\n",
       "      <td>-1.674045</td>\n",
       "      <td>-0.445492</td>\n",
       "      <td>0.101682</td>\n",
       "      <td>-0.364950</td>\n",
       "      <td>-1.389581</td>\n",
       "      <td>0.088539</td>\n",
       "      <td>0.373344</td>\n",
       "      <td>-0.783700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-02</th>\n",
       "      <td>0.710388</td>\n",
       "      <td>1.100773</td>\n",
       "      <td>0.449798</td>\n",
       "      <td>-0.278951</td>\n",
       "      <td>-0.564149</td>\n",
       "      <td>1.045471</td>\n",
       "      <td>1.797852</td>\n",
       "      <td>-1.597685</td>\n",
       "      <td>-0.475232</td>\n",
       "      <td>0.264576</td>\n",
       "      <td>-0.543671</td>\n",
       "      <td>-2.134860</td>\n",
       "      <td>-0.592545</td>\n",
       "      <td>-0.528306</td>\n",
       "      <td>-1.416406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-03</th>\n",
       "      <td>0.046688</td>\n",
       "      <td>0.335202</td>\n",
       "      <td>0.526599</td>\n",
       "      <td>-0.001916</td>\n",
       "      <td>-0.866460</td>\n",
       "      <td>1.144445</td>\n",
       "      <td>1.837491</td>\n",
       "      <td>-1.583504</td>\n",
       "      <td>-0.501261</td>\n",
       "      <td>-0.097602</td>\n",
       "      <td>-0.543671</td>\n",
       "      <td>-1.773117</td>\n",
       "      <td>-0.320110</td>\n",
       "      <td>0.059314</td>\n",
       "      <td>-0.555051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-04</th>\n",
       "      <td>2.725201</td>\n",
       "      <td>2.350477</td>\n",
       "      <td>1.228766</td>\n",
       "      <td>-0.659875</td>\n",
       "      <td>-1.273017</td>\n",
       "      <td>0.995984</td>\n",
       "      <td>1.614524</td>\n",
       "      <td>-1.588958</td>\n",
       "      <td>-0.519841</td>\n",
       "      <td>-0.017021</td>\n",
       "      <td>-0.295543</td>\n",
       "      <td>-1.045276</td>\n",
       "      <td>-2.243610</td>\n",
       "      <td>-1.339555</td>\n",
       "      <td>-1.807931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-05</th>\n",
       "      <td>0.781505</td>\n",
       "      <td>1.370981</td>\n",
       "      <td>0.559516</td>\n",
       "      <td>0.656042</td>\n",
       "      <td>-0.543300</td>\n",
       "      <td>0.765044</td>\n",
       "      <td>1.828820</td>\n",
       "      <td>-1.572598</td>\n",
       "      <td>-0.545863</td>\n",
       "      <td>1.085104</td>\n",
       "      <td>0.454041</td>\n",
       "      <td>-2.012827</td>\n",
       "      <td>-1.547557</td>\n",
       "      <td>-0.932739</td>\n",
       "      <td>-1.181491</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             omega_x   omega_y     omega    rhum_x    rhum_y      rhum  \\\n",
       "time                                                                     \n",
       "1948-01-01  0.105960 -0.137678 -0.175569 -0.151977 -0.157593  0.798035   \n",
       "1948-01-02  0.710388  1.100773  0.449798 -0.278951 -0.564149  1.045471   \n",
       "1948-01-03  0.046688  0.335202  0.526599 -0.001916 -0.866460  1.144445   \n",
       "1948-01-04  2.725201  2.350477  1.228766 -0.659875 -1.273017  0.995984   \n",
       "1948-01-05  0.781505  1.370981  0.559516  0.656042 -0.543300  0.765044   \n",
       "\n",
       "                 slp     tmp_y       tmp    uwnd_x    uwnd_y      uwnd  \\\n",
       "time                                                                     \n",
       "1948-01-01  1.451014 -1.674045 -0.445492  0.101682 -0.364950 -1.389581   \n",
       "1948-01-02  1.797852 -1.597685 -0.475232  0.264576 -0.543671 -2.134860   \n",
       "1948-01-03  1.837491 -1.583504 -0.501261 -0.097602 -0.543671 -1.773117   \n",
       "1948-01-04  1.614524 -1.588958 -0.519841 -0.017021 -0.295543 -1.045276   \n",
       "1948-01-05  1.828820 -1.572598 -0.545863  1.085104  0.454041 -2.012827   \n",
       "\n",
       "              vwnd_x    vwnd_y      vwnd  \n",
       "time                                      \n",
       "1948-01-01  0.088539  0.373344 -0.783700  \n",
       "1948-01-02 -0.592545 -0.528306 -1.416406  \n",
       "1948-01-03 -0.320110  0.059314 -0.555051  \n",
       "1948-01-04 -2.243610 -1.339555 -1.807931  \n",
       "1948-01-05 -1.547557 -0.932739 -1.181491  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "X_train_scaled =pd.DataFrame(X_train_scaled, columns=X_train.columns, index=X_train.index)\n",
    "X_test_scaled =pd.DataFrame(X_test_scaled, columns=X_test.columns, index=X_test.index)\n",
    "\n",
    "X_train_scaled.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "68c93667",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_index = X_train_scaled.index\n",
    "test_index = X_test_scaled.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ffcd5e80",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA()\n",
    "X_train_scaled = pca.fit_transform(X_train_scaled)\n",
    "X_test_scaled = pca.transform(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7735d59c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>omega_x</th>\n",
       "      <th>omega_y</th>\n",
       "      <th>omega</th>\n",
       "      <th>rhum_x</th>\n",
       "      <th>rhum_y</th>\n",
       "      <th>rhum</th>\n",
       "      <th>slp</th>\n",
       "      <th>tmp_y</th>\n",
       "      <th>tmp</th>\n",
       "      <th>uwnd_x</th>\n",
       "      <th>uwnd_y</th>\n",
       "      <th>uwnd</th>\n",
       "      <th>vwnd_x</th>\n",
       "      <th>vwnd_y</th>\n",
       "      <th>vwnd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1948-01-01</th>\n",
       "      <td>0.869337</td>\n",
       "      <td>1.178100</td>\n",
       "      <td>-2.063933</td>\n",
       "      <td>0.452422</td>\n",
       "      <td>-0.120891</td>\n",
       "      <td>-0.873288</td>\n",
       "      <td>-0.240058</td>\n",
       "      <td>-0.150608</td>\n",
       "      <td>-0.698002</td>\n",
       "      <td>0.502925</td>\n",
       "      <td>-0.276958</td>\n",
       "      <td>-0.464591</td>\n",
       "      <td>0.352886</td>\n",
       "      <td>0.146279</td>\n",
       "      <td>0.208958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-02</th>\n",
       "      <td>2.302237</td>\n",
       "      <td>0.111197</td>\n",
       "      <td>-3.123986</td>\n",
       "      <td>0.232920</td>\n",
       "      <td>0.155832</td>\n",
       "      <td>-0.952262</td>\n",
       "      <td>-0.445396</td>\n",
       "      <td>-0.354585</td>\n",
       "      <td>-0.529154</td>\n",
       "      <td>0.283570</td>\n",
       "      <td>-0.111068</td>\n",
       "      <td>-0.236083</td>\n",
       "      <td>0.168869</td>\n",
       "      <td>-0.332529</td>\n",
       "      <td>0.170675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-03</th>\n",
       "      <td>1.413487</td>\n",
       "      <td>0.794499</td>\n",
       "      <td>-2.774208</td>\n",
       "      <td>0.579519</td>\n",
       "      <td>0.048897</td>\n",
       "      <td>-0.833669</td>\n",
       "      <td>-0.009360</td>\n",
       "      <td>0.256374</td>\n",
       "      <td>-0.789795</td>\n",
       "      <td>0.110187</td>\n",
       "      <td>-0.587364</td>\n",
       "      <td>0.010362</td>\n",
       "      <td>-0.039545</td>\n",
       "      <td>-0.163152</td>\n",
       "      <td>-0.130155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-04</th>\n",
       "      <td>4.422140</td>\n",
       "      <td>-2.111425</td>\n",
       "      <td>-2.700542</td>\n",
       "      <td>-0.515704</td>\n",
       "      <td>-0.307757</td>\n",
       "      <td>-0.641633</td>\n",
       "      <td>-0.404552</td>\n",
       "      <td>-0.142782</td>\n",
       "      <td>-0.874598</td>\n",
       "      <td>-0.452507</td>\n",
       "      <td>-0.602326</td>\n",
       "      <td>-0.708182</td>\n",
       "      <td>0.022131</td>\n",
       "      <td>-0.042135</td>\n",
       "      <td>0.298377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948-01-05</th>\n",
       "      <td>3.107049</td>\n",
       "      <td>0.378475</td>\n",
       "      <td>-2.798989</td>\n",
       "      <td>-1.014702</td>\n",
       "      <td>-0.364516</td>\n",
       "      <td>-0.955246</td>\n",
       "      <td>-0.248957</td>\n",
       "      <td>-0.110318</td>\n",
       "      <td>0.336520</td>\n",
       "      <td>0.053292</td>\n",
       "      <td>-0.224341</td>\n",
       "      <td>0.198068</td>\n",
       "      <td>-0.069593</td>\n",
       "      <td>-0.561514</td>\n",
       "      <td>0.139792</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             omega_x   omega_y     omega    rhum_x    rhum_y      rhum  \\\n",
       "time                                                                     \n",
       "1948-01-01  0.869337  1.178100 -2.063933  0.452422 -0.120891 -0.873288   \n",
       "1948-01-02  2.302237  0.111197 -3.123986  0.232920  0.155832 -0.952262   \n",
       "1948-01-03  1.413487  0.794499 -2.774208  0.579519  0.048897 -0.833669   \n",
       "1948-01-04  4.422140 -2.111425 -2.700542 -0.515704 -0.307757 -0.641633   \n",
       "1948-01-05  3.107049  0.378475 -2.798989 -1.014702 -0.364516 -0.955246   \n",
       "\n",
       "                 slp     tmp_y       tmp    uwnd_x    uwnd_y      uwnd  \\\n",
       "time                                                                     \n",
       "1948-01-01 -0.240058 -0.150608 -0.698002  0.502925 -0.276958 -0.464591   \n",
       "1948-01-02 -0.445396 -0.354585 -0.529154  0.283570 -0.111068 -0.236083   \n",
       "1948-01-03 -0.009360  0.256374 -0.789795  0.110187 -0.587364  0.010362   \n",
       "1948-01-04 -0.404552 -0.142782 -0.874598 -0.452507 -0.602326 -0.708182   \n",
       "1948-01-05 -0.248957 -0.110318  0.336520  0.053292 -0.224341  0.198068   \n",
       "\n",
       "              vwnd_x    vwnd_y      vwnd  \n",
       "time                                      \n",
       "1948-01-01  0.352886  0.146279  0.208958  \n",
       "1948-01-02  0.168869 -0.332529  0.170675  \n",
       "1948-01-03 -0.039545 -0.163152 -0.130155  \n",
       "1948-01-04  0.022131 -0.042135  0.298377  \n",
       "1948-01-05 -0.069593 -0.561514  0.139792  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_scaled = pd.DataFrame(X_train_scaled, columns= df.drop(\"pr_wtr\", axis=1).columns, index=train_index)\n",
    "X_test_scaled = pd.DataFrame(X_test_scaled, columns= df.drop(\"pr_wtr\", axis=1).columns, index=test_index)\n",
    "\n",
    "X_train_scaled.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "10e6528d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>omega_x</th>\n",
       "      <th>omega_y</th>\n",
       "      <th>omega</th>\n",
       "      <th>rhum_x</th>\n",
       "      <th>rhum_y</th>\n",
       "      <th>rhum</th>\n",
       "      <th>slp</th>\n",
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       "      <th>tmp</th>\n",
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       "      <th>uwnd_y</th>\n",
       "      <th>uwnd</th>\n",
       "      <th>vwnd_x</th>\n",
       "      <th>vwnd_y</th>\n",
       "      <th>vwnd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-10-19</th>\n",
       "      <td>0.117638</td>\n",
       "      <td>0.054088</td>\n",
       "      <td>-0.256920</td>\n",
       "      <td>1.968785</td>\n",
       "      <td>-0.135632</td>\n",
       "      <td>-0.048012</td>\n",
       "      <td>0.390058</td>\n",
       "      <td>0.038348</td>\n",
       "      <td>0.178413</td>\n",
       "      <td>0.566881</td>\n",
       "      <td>-0.194167</td>\n",
       "      <td>-0.480964</td>\n",
       "      <td>-0.031200</td>\n",
       "      <td>-0.102341</td>\n",
       "      <td>-0.125682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-10-20</th>\n",
       "      <td>0.263728</td>\n",
       "      <td>0.005330</td>\n",
       "      <td>0.228671</td>\n",
       "      <td>1.258024</td>\n",
       "      <td>-1.031818</td>\n",
       "      <td>0.199715</td>\n",
       "      <td>0.014893</td>\n",
       "      <td>-0.238336</td>\n",
       "      <td>-0.057646</td>\n",
       "      <td>0.552375</td>\n",
       "      <td>-0.019631</td>\n",
       "      <td>-0.535293</td>\n",
       "      <td>-0.238103</td>\n",
       "      <td>-0.067001</td>\n",
       "      <td>0.020110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-10-21</th>\n",
       "      <td>1.261933</td>\n",
       "      <td>-0.651000</td>\n",
       "      <td>-0.857412</td>\n",
       "      <td>1.611865</td>\n",
       "      <td>-0.621089</td>\n",
       "      <td>-0.118405</td>\n",
       "      <td>0.022556</td>\n",
       "      <td>-0.274987</td>\n",
       "      <td>-0.057726</td>\n",
       "      <td>0.095318</td>\n",
       "      <td>-0.221364</td>\n",
       "      <td>-0.451104</td>\n",
       "      <td>-0.440682</td>\n",
       "      <td>-0.008744</td>\n",
       "      <td>-0.270635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-10-22</th>\n",
       "      <td>1.368520</td>\n",
       "      <td>-1.008587</td>\n",
       "      <td>-0.178733</td>\n",
       "      <td>1.786448</td>\n",
       "      <td>-0.678306</td>\n",
       "      <td>-0.045901</td>\n",
       "      <td>0.946825</td>\n",
       "      <td>0.335814</td>\n",
       "      <td>-0.384398</td>\n",
       "      <td>0.361890</td>\n",
       "      <td>0.088788</td>\n",
       "      <td>-0.587792</td>\n",
       "      <td>-0.051232</td>\n",
       "      <td>-0.428944</td>\n",
       "      <td>-0.197384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-10-23</th>\n",
       "      <td>0.676740</td>\n",
       "      <td>-0.527787</td>\n",
       "      <td>-0.242524</td>\n",
       "      <td>1.030560</td>\n",
       "      <td>-0.350657</td>\n",
       "      <td>0.339848</td>\n",
       "      <td>0.869425</td>\n",
       "      <td>-0.340040</td>\n",
       "      <td>-0.158793</td>\n",
       "      <td>0.729422</td>\n",
       "      <td>-0.564205</td>\n",
       "      <td>-0.388006</td>\n",
       "      <td>0.266618</td>\n",
       "      <td>-0.313730</td>\n",
       "      <td>-0.204486</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             omega_x   omega_y     omega    rhum_x    rhum_y      rhum  \\\n",
       "time                                                                     \n",
       "2004-10-19  0.117638  0.054088 -0.256920  1.968785 -0.135632 -0.048012   \n",
       "2004-10-20  0.263728  0.005330  0.228671  1.258024 -1.031818  0.199715   \n",
       "2004-10-21  1.261933 -0.651000 -0.857412  1.611865 -0.621089 -0.118405   \n",
       "2004-10-22  1.368520 -1.008587 -0.178733  1.786448 -0.678306 -0.045901   \n",
       "2004-10-23  0.676740 -0.527787 -0.242524  1.030560 -0.350657  0.339848   \n",
       "\n",
       "                 slp     tmp_y       tmp    uwnd_x    uwnd_y      uwnd  \\\n",
       "time                                                                     \n",
       "2004-10-19  0.390058  0.038348  0.178413  0.566881 -0.194167 -0.480964   \n",
       "2004-10-20  0.014893 -0.238336 -0.057646  0.552375 -0.019631 -0.535293   \n",
       "2004-10-21  0.022556 -0.274987 -0.057726  0.095318 -0.221364 -0.451104   \n",
       "2004-10-22  0.946825  0.335814 -0.384398  0.361890  0.088788 -0.587792   \n",
       "2004-10-23  0.869425 -0.340040 -0.158793  0.729422 -0.564205 -0.388006   \n",
       "\n",
       "              vwnd_x    vwnd_y      vwnd  \n",
       "time                                      \n",
       "2004-10-19 -0.031200 -0.102341 -0.125682  \n",
       "2004-10-20 -0.238103 -0.067001  0.020110  \n",
       "2004-10-21 -0.440682 -0.008744 -0.270635  \n",
       "2004-10-22 -0.051232 -0.428944 -0.197384  \n",
       "2004-10-23  0.266618 -0.313730 -0.204486  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_scaled.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d99c8714",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "sns.heatmap(X_train_scaled.corr(), annot=True, cmap=\"coolwarm\", vmin=-1, vmax=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "500ca07b",
   "metadata": {},
   "source": [
    "## MODEL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f41692d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear regression: 2.5634102641031427\n",
      "lasso: 3.332180142004591\n",
      "ridge: 2.563393167841492\n"
     ]
    }
   ],
   "source": [
    "models = [\n",
    "    [\"linear regression\", LinearRegression()],\n",
    "    [\"lasso\", Lasso()],\n",
    "    [\"ridge\", Ridge()]\n",
    "]\n",
    "results = []\n",
    "names = []\n",
    "\n",
    "for name, model in models:\n",
    "    cv_result = cross_val_score(estimator=model, X=X_train_scaled, y=y_train, cv=5, scoring=\"neg_mean_absolute_error\")\n",
    "    cv_result = -1 * cv_result.mean()\n",
    "    results.append(cv_result)\n",
    "    names.append(name)\n",
    "    \n",
    "    print(\"{}: {}\".format(name, cv_result))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dda98ae5",
   "metadata": {},
   "source": [
    "Among the models tested, ridge has the lowest cross validation score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "36fe21a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "ridge = Ridge()\n",
    "ridge.fit(X_train_scaled, y_train)\n",
    "y_pred = ridge.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fe8c77ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean absolute error: 2.5073410758386725\n",
      "mean squared error: 10.567060718517247\n",
      "root mean squared error: 3.250701573278797\n"
     ]
    }
   ],
   "source": [
    "print(f\"mean absolute error: {mean_absolute_error(y_train, ridge.predict(X_train_scaled))}\")\n",
    "print(f\"mean squared error: {mean_squared_error(y_train, ridge.predict(X_train_scaled))}\")\n",
    "print(f\"root mean squared error: {np.sqrt(mean_squared_error(y_train, ridge.predict(X_train_scaled)))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9b73290c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean absolute error: 2.4992996388036555\n",
      "mean squared error: 10.426404654630025\n",
      "root mean squared error: 3.22899437203443\n"
     ]
    }
   ],
   "source": [
    "print(f\"mean absolute error: {mean_absolute_error(y_test, y_pred)}\")\n",
    "print(f\"mean squared error: {mean_squared_error(y_test, y_pred)}\")\n",
    "print(f\"root mean squared error: {np.sqrt(mean_squared_error(y_test, y_pred))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "622f153c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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