Model_results.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization of Linear Model's results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "import seaborn as sns\n",
    "warnings.simplefilter(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Import our script\n",
    "from script_model_predictions import COVID_Predictor\n",
    "from script_model_predictions_baseline import COVID_Predictor_baseline\n",
    "\n",
    "#Set our predictor objects\n",
    "baseline = COVID_Predictor_baseline()\n",
    "predictor = COVID_Predictor()\n",
    "predictor_ridge = COVID_Predictor(RIDGE=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ridge()\n",
      "Lasso(alpha=0.1, max_iter=10000, positive=True, precompute=True,\n",
      "      selection='random')\n"
     ]
    }
   ],
   "source": [
    "#Check our predictors models\n",
    "print(predictor_ridge.model)\n",
    "print(predictor.model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LASSO Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A. Baseline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 4 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 0.02627711524869233\n",
      "Day -1 NewConfirmedCases_7davg 0.9898820668590376\n",
      "Day -3 C6_Stay at home requirements 5.6720198518714255\n",
      "Day -3 C7_Restrictions on internal movement 0.31573306578387117\n",
      "Day -2 C6_Stay at home requirements 0.30470681806318406\n",
      "Starting Predicting...\n",
      "Global MAE : 69222.53727646261\n"
     ]
    }
   ],
   "source": [
    "predictions_4d, MAEs_4d = baseline.GetCovidPredictions(period='4d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 4 days : 0.9948953705354102\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 4 days :', baseline.R2_score(np.array(list(predictions_4d.NewConfirmedCases_7davg)), np.array(list(predictions_4d.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 7 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.015892278174098\n",
      "Day -3 C6_Stay at home requirements 6.078642199880966\n",
      "Day -3 C7_Restrictions on internal movement 0.019566002064226522\n",
      "Starting Predicting...\n",
      "Global MAE : 101552.12962093244\n"
     ]
    }
   ],
   "source": [
    "predictions_7d, MAEs_7d = baseline.GetCovidPredictions(period='7d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 7 days : 0.9912854846074642\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 7 days :', baseline.R2_score(np.array(list(predictions_7d.NewConfirmedCases_7davg)), np.array(list(predictions_7d.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 30 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.01589226281117\n",
      "Day -3 C6_Stay at home requirements 6.079854381605113\n",
      "Day -3 C7_Restrictions on internal movement 0.017769606914613247\n",
      "Starting Predicting...\n",
      "Global MAE : 363641.05351495784\n"
     ]
    }
   ],
   "source": [
    "predictions_30d, MAEs_30d = baseline.GetCovidPredictions(period='30d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 30 days : 0.8703943459483412\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 30 days :', baseline.R2_score(np.array(list(predictions_30d.NewConfirmedCases_7davg)), np.array(list(predictions_30d.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing different lookback days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 0.06920281804451163\n",
      "Day -1 NewConfirmedCases_7davg 0.9473853560437562\n",
      "Day -3 C6_Stay at home requirements 6.169103452829752\n",
      "Day -2 C6_Stay at home requirements 0.1869888265342426\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 0.0871746910537733\n",
      "Day -1 NewConfirmedCases_7davg 0.9296244075596852\n",
      "Day -5 C6_Stay at home requirements 7.908895652914447\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0159634961940698\n",
      "Day -8 C6_Stay at home requirements 2.731902947241556\n",
      "Day -8 C7_Restrictions on internal movement 0.24954614325376787\n",
      "Day -7 C6_Stay at home requirements 6.708340311258748\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 0.011317915663851262\n",
      "Day -1 NewConfirmedCases_7davg 1.0047782614541214\n",
      "Day -10 C6_Stay at home requirements 10.75110915811554\n",
      "Day -9 C7_Restrictions on internal movement 0.14246688528009108\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 0.05892971649994832\n",
      "Day -1 NewConfirmedCases_7davg 0.9576798661561615\n",
      "Day -15 C6_Stay at home requirements 13.465340174834724\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -2 NewConfirmedCases_7davg 9.09656600098648e-05\n",
      "Day -1 NewConfirmedCases_7davg 1.0159386271694242\n",
      "Day -19 C6_Stay at home requirements 0.2511027206054767\n",
      "Day -18 C6_Stay at home requirements 7.808710945477265\n",
      "Day -17 C6_Stay at home requirements 6.356460911284337\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.016026401483607\n",
      "Day -22 C6_Stay at home requirements 8.002232492630492\n",
      "Day -18 C6_Stay at home requirements 2.6997693025141993\n",
      "Day -17 C6_Stay at home requirements 4.689066101724939\n",
      "Starting Predicting...\n"
     ]
    }
   ],
   "source": [
    "global_MAEs = baseline.GetCovidPredictions(period='30d', verbose=False, test_several_lookbacks=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## B. Additional Mobility Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prediction on 4 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0159033429118116\n",
      "Day -3 C6_Stay at home requirements 5.027840759403164\n",
      "Day 0 C1_School closing 0.044640159254947014\n",
      "Day 0 C3_Cancel public events 0.04364860993083636\n",
      "Starting Predicting...\n",
      "Global MAE : 67656.44887454022\n"
     ]
    }
   ],
   "source": [
    "predictions_4d_, MAEs_4d_ = predictor.GetCovidPredictions(period='4d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 4 days : 0.9949784444538817\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 4 days :', predictor.R2_score(np.array(list(predictions_4d_.NewConfirmedCases_7davg)), np.array(list(predictions_4d_.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prediction on 7 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Test MAE: 49.73141371775188\n",
      "Day -1 NewConfirmedCases_7davg 1.0159033185582937\n",
      "Day -3 C6_Stay at home requirements 5.026308312965677\n",
      "Day 0 C1_School closing 0.04465126576204948\n",
      "Day 0 C3_Cancel public events 0.043654423429508336\n",
      "Intercept 9.038285525716788\n",
      "Starting Predicting...\n",
      "\n",
      "Predicting for Aruba\n",
      "2020-11-30: 34.75167013366027\n",
      "2020-12-01: 54.4835448550683\n",
      "2020-12-02: 74.48457060016118\n",
      "2020-12-03: 84.75106240323954\n",
      "2020-12-04: 100.20713380890406\n",
      "2020-12-05: 115.9090080417926\n",
      "2020-12-06: 131.86059418256903\n",
      "\n",
      "Predicting for Afghanistan\n",
      "2020-11-30: 223.85481643101124\n",
      "2020-12-01: 246.50575303917014\n",
      "2020-12-02: 269.51691470785227\n",
      "2020-12-03: 282.84141358501654\n",
      "2020-12-04: 296.377816212454\n",
      "2020-12-05: 310.12949256300885\n",
      "2020-12-06: 324.09986620327714\n",
      "\n",
      "Predicting for Angola\n",
      "2020-11-30: 107.7515800243491\n",
      "2020-12-01: 128.68904683323757\n",
      "2020-12-02: 149.95948884659148\n",
      "2020-12-03: 166.54189316219382\n",
      "2020-12-04: 183.3880127360896\n",
      "2020-12-05: 200.50204151604015\n",
      "2020-12-06: 217.88824014749406\n",
      "\n",
      "Predicting for Albania\n",
      "2020-11-30: 725.1305396167751\n",
      "2020-12-01: 755.8853838489173\n",
      "2020-12-02: 787.129332166094\n",
      "2020-12-03: 818.8701629463776\n",
      "2020-12-04: 851.115778269865\n",
      "2020-12-05: 883.87420588595\n",
      "2020-12-06: 917.1536012118825\n",
      "\n",
      "Predicting for Andorra\n",
      "2020-11-30: 85.40170701606662\n",
      "2020-12-01: 105.9827398324344\n",
      "2020-12-02: 126.89107936993959\n",
      "2020-12-03: 138.07931426570335\n",
      "2020-12-04: 149.44547922511944\n",
      "2020-12-05: 160.99240392667124\n",
      "2020-12-06: 172.72296305012046\n",
      "\n",
      "Predicting for United Arab Emirates\n",
      "2020-11-30: 1290.9886880537447\n",
      "2020-12-01: 1330.742554679286\n",
      "2020-12-02: 1371.1286397096974\n",
      "2020-12-03: 1402.1043808897384\n",
      "2020-12-04: 1433.5727391493451\n",
      "2020-12-05: 1465.541548734861\n",
      "2020-12-06: 1498.0187684831444\n",
      "\n",
      "Predicting for Argentina\n",
      "2020-11-30: 7049.418955733169\n",
      "2020-12-01: 7180.840275832861\n",
      "2020-12-02: 7314.351631051451\n",
      "2020-12-03: 7449.986259883231\n",
      "2020-12-04: 7587.7779294248585\n",
      "2020-12-05: 7727.7609437818855\n",
      "2020-12-06: 7869.970152608983\n",
      "\n",
      "Predicting for Australia\n",
      "2020-11-30: 29.091637358835488\n",
      "2020-12-01: 48.68884751021306\n",
      "2020-12-02: 68.68602402667338\n",
      "2020-12-03: 83.97491369857573\n",
      "2020-12-04: 99.50694745333296\n",
      "2020-12-05: 115.28599208875025\n",
      "2020-12-06: 131.31597589755012\n",
      "\n",
      "Predicting for Austria\n",
      "2020-11-30: 4738.819422195084\n",
      "2020-12-01: 4833.494541852276\n",
      "2020-12-02: 4929.67531009692\n",
      "2020-12-03: 5027.38567173814\n",
      "2020-12-04: 5126.649952386987\n",
      "2020-12-05: 5227.492864512452\n",
      "2020-12-06: 5329.939513593794\n",
      "\n",
      "Predicting for Azerbaijan\n",
      "2020-11-30: 3662.107033568802\n",
      "2020-12-01: 3739.658853114008\n",
      "2020-12-02: 3818.4440039502165\n",
      "2020-12-03: 3893.455791824871\n",
      "2020-12-04: 3969.6605160577233\n",
      "2020-12-05: 4047.0771482956975\n",
      "2020-12-06: 4125.724961897862\n",
      "\n",
      "Predicting for Burundi\n",
      "2020-11-30: 21.980314128927432\n",
      "2020-12-01: 41.46542748394132\n",
      "2020-12-02: 61.260418803784454\n",
      "2020-12-03: 71.31759955051436\n",
      "2020-12-04: 81.53472284645785\n",
      "2020-12-05: 91.9143323089261\n",
      "2020-12-06: 102.45901200718667\n",
      "\n",
      "Predicting for Belgium\n",
      "2020-11-30: 2605.4224532226685\n",
      "2020-12-01: 2666.080178739469\n",
      "2020-12-02: 2727.7025633881844\n",
      "2020-12-03: 2790.3049484502903\n",
      "2020-12-04: 2853.902919184548\n",
      "2020-12-05: 2918.5123087070533\n",
      "2020-12-06: 2984.149201932992\n",
      "\n",
      "Predicting for Benin\n",
      "2020-11-30: 27.640346903752214\n",
      "2020-12-01: 47.30278240989354\n",
      "2020-12-02: 67.27791589152093\n",
      "2020-12-03: 77.51810365821974\n",
      "2020-12-04: 87.92114439306911\n",
      "2020-12-05: 98.48962799869969\n",
      "2020-12-06: 109.22618556578871\n",
      "\n",
      "Predicting for Burkina Faso\n",
      "2020-11-30: 36.78347677077686\n",
      "2020-12-01: 56.45935827119226\n",
      "2020-12-02: 76.448151583024\n",
      "2020-12-03: 86.70221641655834\n",
      "2020-12-04: 97.11935490965779\n",
      "2020-12-05: 107.70216047467885\n",
      "2020-12-06: 118.45326776784093\n",
      "\n",
      "Predicting for Bangladesh\n",
      "2020-11-30: 2205.737061892734\n",
      "2020-12-01: 2260.127765839642\n",
      "2020-12-02: 2315.383462478028\n",
      "2020-12-03: 2371.5179080622142\n",
      "2020-12-04: 2428.5450776166194\n",
      "2020-12-05: 2486.479168414926\n",
      "2020-12-06: 2545.334603514583\n",
      "\n",
      "Predicting for Bulgaria\n",
      "2020-11-30: 3018.459716739369\n",
      "2020-12-01: 3085.7754079658457\n",
      "2020-12-02: 3154.1616420738687\n",
      "2020-12-03: 3213.5828276219822\n",
      "2020-12-04: 3273.949007212979\n",
      "2020-12-05: 3335.275209388158\n",
      "2020-12-06: 3397.5767016924997\n",
      "\n",
      "Predicting for Bahrain\n",
      "2020-11-30: 176.2524895042798\n",
      "2020-12-01: 198.2783512558279\n",
      "2020-12-02: 220.65449730333182\n",
      "2020-12-03: 243.3864983295361\n",
      "2020-12-04: 266.48001360952753\n",
      "2020-12-05: 289.94079241964755\n",
      "2020-12-06: 313.7746754688105\n",
      "\n",
      "Predicting for Bahamas\n",
      "2020-11-30: 34.31628299713529\n",
      "2020-12-01: 54.174190573168595\n",
      "2020-12-02: 74.34790477928472\n",
      "2020-12-03: 84.78983136299333\n",
      "2020-12-04: 95.39781923152498\n",
      "2020-12-05: 106.1745093103924\n",
      "2020-12-06: 117.12258452458805\n",
      "\n",
      "Predicting for Bosnia and Herzegovina\n",
      "2020-11-30: 1088.5336695696274\n",
      "2020-12-01: 1125.067829542491\n",
      "2020-12-02: 1162.1830038996623\n",
      "2020-12-03: 1199.8884326979824\n",
      "2020-12-04: 1238.1935029418592\n",
      "2020-12-05: 1277.1077509202223\n",
      "2020-12-06: 1316.6408645806418\n",
      "\n",
      "Predicting for Belarus\n",
      "2020-11-30: 1616.9485242654487\n",
      "2020-12-01: 1661.7979283142827\n",
      "2020-12-02: 1707.3605867228548\n",
      "2020-12-03: 1743.59522597653\n",
      "2020-12-04: 1780.4061162411012\n",
      "2020-12-05: 1817.8024218199644\n",
      "2020-12-06: 1855.793452759351\n",
      "\n",
      "Predicting for Belize\n",
      "2020-11-30: 100.49512774893272\n",
      "2020-12-01: 121.40549857487373\n",
      "2020-12-02: 142.64841368923172\n",
      "2020-12-03: 159.20285333679448\n",
      "2020-12-04: 176.02056351162645\n",
      "2020-12-05: 193.10573108878984\n",
      "2020-12-06: 210.4626095285547\n",
      "\n",
      "Predicting for Bermuda\n",
      "2020-11-30: 22.705959356469073\n",
      "2020-12-01: 42.24626730212637\n",
      "2020-12-02: 62.14198225553266\n",
      "2020-12-03: 72.30148847585663\n",
      "2020-12-04: 82.62256455999739\n",
      "2020-12-05: 93.10778000496862\n",
      "2020-12-06: 103.75974517131357\n",
      "\n",
      "Predicting for Bolivia\n",
      "2020-11-30: 112.68596757163223\n",
      "2020-12-01: 133.79021320676677\n",
      "2020-12-02: 155.18643195973982\n",
      "2020-12-03: 176.92292159548435\n",
      "2020-12-04: 193.97878523727948\n",
      "2020-12-05: 211.3058937118569\n",
      "2020-12-06: 228.90856071219963\n",
      "\n",
      "Predicting for Barbados\n",
      "2020-11-30: 21.54492699240245\n",
      "2020-12-01: 41.066770670517506\n",
      "2020-12-02: 60.89907644749084\n",
      "2020-12-03: 70.99416507504952\n",
      "2020-12-04: 81.24979911292647\n",
      "2020-12-05: 91.66853176592505\n",
      "2020-12-06: 102.25295684327797\n",
      "\n",
      "Predicting for Brunei\n",
      "2020-11-30: 19.513120355285864\n",
      "2020-12-01: 39.002651565202\n",
      "2020-12-02: 58.80213099850124\n",
      "2020-12-03: 68.86387123458528\n",
      "2020-12-04: 79.08562653089454\n",
      "2020-12-05: 89.46994165790595\n",
      "2020-12-06: 100.01940185639192\n",
      "\n",
      "Predicting for Bhutan\n",
      "2020-11-30: 21.254668901385795\n",
      "2020-12-01: 40.86020220180685\n",
      "2020-12-02: 60.77752854380974\n",
      "2020-12-03: 75.98529815849331\n",
      "2020-12-04: 91.43492177792034\n",
      "2020-12-05: 107.13024568337286\n",
      "2020-12-06: 123.0751773247694\n",
      "\n",
      "Predicting for Botswana\n",
      "2020-11-30: 115.5885484817988\n",
      "2020-12-01: 136.60599783083532\n",
      "2020-12-02: 157.9576943721524\n",
      "2020-12-03: 174.62264543236037\n",
      "2020-12-04: 191.55262451803722\n",
      "2020-12-05: 208.75184645429883\n",
      "2020-12-06: 226.2245930959676\n",
      "\n",
      "Predicting for Central African Republic\n",
      "2020-11-30: 19.513120355285864\n",
      "2020-12-01: 38.914345876010444\n",
      "2020-12-02: 58.62411526661241\n",
      "2020-12-03: 68.59471877261225\n",
      "2020-12-04: 78.72388796238647\n",
      "2020-12-05: 89.01414455651651\n",
      "2020-12-06: 99.46805037930959\n",
      "\n",
      "Predicting for Canada / Alberta\n",
      "2020-11-30: 1408.3980858699815\n",
      "2020-12-01: 1450.063802816494\n",
      "2020-12-02: 1492.3921429325665\n",
      "2020-12-03: 1530.3673358125834\n",
      "2020-12-04: 1568.9464602822836\n",
      "2020-12-05: 1608.1391208581258\n",
      "2020-12-06: 1647.9550748002525\n",
      "\n",
      "Predicting for Canada / British Columbia\n",
      "2020-11-30: 865.1800685323112\n",
      "2020-12-01: 898.1621650367362\n",
      "2020-12-02: 931.6687863285914\n",
      "2020-12-03: 960.6819657796974\n",
      "2020-12-04: 990.1565510660033\n",
      "2020-12-05: 1020.0998800714909\n",
      "2020-12-06: 1050.519407376849\n",
      "\n",
      "Predicting for Canada / Manitoba\n",
      "2020-11-30: 445.75712701324426\n",
      "2020-12-01: 472.113658133797\n",
      "2020-12-02: 498.88934556485145\n",
      "2020-12-03: 526.0908552827392\n",
      "2020-12-04: 553.7249592749371\n",
      "2020-12-05: 581.7985372259959\n",
      "2020-12-06: 610.3185782302814\n",
      "\n",
      "Predicting for Canada / New Brunswick\n",
      "2020-11-30: 28.656250222310504\n",
      "2020-12-01: 48.33484196255129\n",
      "2020-12-02: 68.32638861601572\n",
      "2020-12-03: 78.58325057845185\n",
      "2020-12-04: 89.00323068408505\n",
      "2020-12-05: 99.58892305270922\n",
      "2020-12-06: 110.34296305923172\n",
      "\n",
      "Predicting for Canada / Newfoundland and Labrador\n",
      "2020-11-30: 21.835185083419105\n",
      "2020-12-01: 41.36164482841972\n",
      "2020-12-02: 61.19864008306078\n",
      "2020-12-03: 76.32480107951008\n",
      "2020-12-04: 91.69151823284996\n",
      "2020-12-05: 107.3026171842746\n",
      "2020-12-06: 123.16198441536879\n",
      "\n",
      "Predicting for Canada / Nova Scotia\n",
      "2020-11-30: 35.332186315693576\n",
      "2020-12-01: 55.16159886006429\n",
      "2020-12-02: 75.30636486895196\n",
      "2020-12-03: 90.74519119599559\n",
      "2020-12-04: 106.42954609628437\n",
      "2020-12-05: 122.36333428893377\n",
      "2020-12-06: 138.55052259105125\n",
      "\n",
      "Predicting for Canada / Northwest Territories\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.70678056496725\n",
      "2020-12-02: 58.500557825165046\n",
      "2020-12-03: 68.55650520467233\n",
      "2020-12-04: 78.77237551876136\n",
      "2020-12-05: 89.15071207280558\n",
      "2020-12-06: 99.69409861917393\n",
      "\n",
      "Predicting for Canada / Nunavut\n",
      "2020-11-30: 26.04392740316061\n",
      "2020-12-01: 45.77027707295545\n",
      "2020-12-02: 65.81034116554133\n",
      "2020-12-03: 86.16910878132023\n",
      "2020-12-04: 106.85164836394715\n",
      "2020-12-05: 127.86310896215109\n",
      "2020-12-06: 149.2087215116233\n",
      "\n",
      "Predicting for Canada / Ontario\n",
      "2020-11-30: 1591.550941301491\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-12-01: 1636.1293964527922\n",
      "2020-12-02: 1681.416796977201\n",
      "2020-12-03: 1722.3981091458609\n",
      "2020-12-04: 1764.0311601768758\n",
      "2020-12-05: 1806.3263148809906\n",
      "2020-12-06: 1849.2941029038375\n",
      "\n",
      "Predicting for Canada / Prince Edward Island\n",
      "2020-11-30: 19.803378446302517\n",
      "2020-12-01: 39.297525723104215\n",
      "2020-12-02: 59.10169463407118\n",
      "2020-12-03: 74.19450723904583\n",
      "2020-12-04: 89.52734565081803\n",
      "2020-12-05: 105.10402707625549\n",
      "2020-12-06: 120.92842942848274\n",
      "\n",
      "Predicting for Canada / Quebec\n",
      "2020-11-30: 1324.8037556571849\n",
      "2020-12-01: 1365.1400453406563\n",
      "2020-12-02: 1406.1178158884236\n",
      "2020-12-03: 1442.720960662055\n",
      "2020-12-04: 1479.9062169072567\n",
      "2020-12-05: 1517.682842128198\n",
      "2020-12-06: 1556.060241054085\n",
      "\n",
      "Predicting for Canada / Saskatchewan\n",
      "2020-11-30: 275.52075663197587\n",
      "2020-12-01: 299.1699645241476\n",
      "2020-12-02: 323.19527330307983\n",
      "2020-12-03: 342.57635590801914\n",
      "2020-12-04: 362.2656620436294\n",
      "2020-12-05: 382.268093486906\n",
      "2020-12-06: 402.5886299693655\n",
      "\n",
      "Predicting for Canada / Yukon\n",
      "2020-11-30: 21.109539855877465\n",
      "2020-12-01: 40.624459433664185\n",
      "2020-12-02: 60.44973099413593\n",
      "2020-12-03: 70.5376735378072\n",
      "2020-12-04: 80.78604784534821\n",
      "2020-12-05: 91.19740531420669\n",
      "2020-12-06: 101.77433791751669\n",
      "\n",
      "Predicting for Canada\n",
      "2020-11-30: 5784.6193241280935\n",
      "2020-12-01: 5895.881481508196\n",
      "2020-12-02: 6008.9130764205975\n",
      "2020-12-03: 6118.715940481077\n",
      "2020-12-04: 6230.265034467324\n",
      "2020-12-05: 6343.588129230123\n",
      "2020-12-06: 6458.713437268946\n",
      "\n",
      "Predicting for Switzerland\n",
      "2020-11-30: 4037.7010033443544\n",
      "2020-12-01: 4121.181362173714\n",
      "2020-12-02: 4205.989335742896\n",
      "2020-12-03: 4287.119729219067\n",
      "2020-12-04: 4369.540365187449\n",
      "2020-12-05: 4453.2717627854145\n",
      "2020-12-06: 4538.334767472711\n",
      "\n",
      "Predicting for Chile\n",
      "2020-11-30: 1440.0362177907973\n",
      "2020-12-01: 1482.2497372935982\n",
      "2020-12-02: 1525.1345918445186\n",
      "2020-12-03: 1573.727766211654\n",
      "2020-12-04: 1623.093733310509\n",
      "2020-12-05: 1673.2447831100749\n",
      "2020-12-06: 1724.1934010306363\n",
      "\n",
      "Predicting for China\n",
      "2020-11-30: 31.99421826900204\n",
      "2020-12-01: 51.81519730995087\n",
      "2020-12-02: 71.95139569472516\n",
      "2020-12-03: 97.43413476993122\n",
      "2020-12-04: 123.32213396238815\n",
      "2020-12-05: 149.62183825283955\n",
      "2020-12-06: 176.3397951186109\n",
      "\n",
      "Predicting for Cote d'Ivoire\n",
      "2020-11-30: 44.18505809170157\n",
      "2020-12-01: 64.06695498689031\n",
      "2020-12-02: 84.26504002194639\n",
      "2020-12-03: 99.7580333246168\n",
      "2020-12-04: 115.49741663520109\n",
      "2020-12-05: 131.4871083724847\n",
      "2020-12-06: 147.73108927111525\n",
      "\n",
      "Predicting for Cameroon\n",
      "2020-11-30: 104.7038700686742\n",
      "2020-12-01: 125.54821690950223\n",
      "2020-12-02: 146.7240580382795\n",
      "2020-12-03: 158.18404868833622\n",
      "2020-12-04: 169.82629122037585\n",
      "2020-12-05: 181.65368404413542\n",
      "2020-12-06: 193.6691716636853\n",
      "\n",
      "Predicting for Democratic Republic of Congo\n",
      "2020-11-30: 94.98022401961626\n",
      "2020-12-01: 115.62627819634851\n",
      "2020-12-02: 136.60067314962512\n",
      "2020-12-03: 147.85601396147982\n",
      "2020-12-04: 159.2903520437476\n",
      "2020-12-05: 170.9065340470409\n",
      "2020-12-06: 182.7074518931637\n",
      "\n",
      "Predicting for Congo\n",
      "2020-11-30: 39.83118672645173\n",
      "2020-12-01: 59.64384261835707\n",
      "2020-12-02: 79.77158548839724\n",
      "2020-12-03: 100.21942626515907\n",
      "2020-12-04: 120.99245556762303\n",
      "2020-12-05: 142.09584497250486\n",
      "2020-12-06: 163.53484830175225\n",
      "\n",
      "Predicting for Colombia\n",
      "2020-11-30: 8721.015301898091\n",
      "2020-12-01: 8878.932245502534\n",
      "2020-12-02: 9039.36059256687\n",
      "2020-12-03: 9197.313974427385\n",
      "2020-12-04: 9357.779339236988\n",
      "2020-12-05: 9520.79663586073\n",
      "2020-12-06: 9686.40644848319\n",
      "\n",
      "Predicting for Comoros\n",
      "2020-11-30: 21.39979794689412\n",
      "2020-12-01: 40.83102790237484\n",
      "2020-12-02: 60.571278897817024\n",
      "2020-12-03: 70.57284876732905\n",
      "2020-12-04: 80.73347678855896\n",
      "2020-12-05: 91.05569251396281\n",
      "2020-12-06: 101.54206572427519\n",
      "\n",
      "Predicting for Cape Verde\n",
      "2020-11-30: 87.57864269869155\n",
      "2020-12-01: 108.28359854822514\n",
      "2020-12-02: 129.31783190636926\n",
      "2020-12-03: 145.66027106527176\n",
      "2020-12-04: 162.2626092401378\n",
      "2020-12-05: 179.1289796878113\n",
      "2020-12-06: 196.2635813976363\n",
      "\n",
      "Predicting for Costa Rica\n",
      "2020-11-30: 1133.0882865406838\n",
      "2020-12-01: 1170.4203153120047\n",
      "2020-12-02: 1208.3460472293032\n",
      "2020-12-03: 1241.8486158298733\n",
      "2020-12-04: 1275.8839864514198\n",
      "2020-12-05: 1310.46063241421\n",
      "2020-12-06: 1345.587161792424\n",
      "\n",
      "Predicting for Cuba\n",
      "2020-11-30: 75.38780287599202\n",
      "2020-12-01: 95.80958138480798\n",
      "2020-12-02: 116.55613394277657\n",
      "2020-12-03: 127.58000890912956\n",
      "2020-12-04: 138.77920007081926\n",
      "2020-12-05: 150.15649553714854\n",
      "2020-12-06: 161.7147277576107\n",
      "\n",
      "Predicting for Cyprus\n",
      "2020-11-30: 271.7474014487594\n",
      "2020-12-01: 295.29194920565675\n",
      "2020-12-02: 319.21093340584304\n",
      "2020-12-03: 343.5103088313557\n",
      "2020-12-04: 368.2407762307899\n",
      "2020-12-05: 393.3645401313728\n",
      "2020-12-06: 418.88785525265\n",
      "\n",
      "Predicting for Czech Republic\n",
      "2020-11-30: 4004.4664519229473\n",
      "2020-12-01: 4087.3746166704796\n",
      "2020-12-02: 4171.6012963730755\n",
      "2020-12-03: 4257.167459794089\n",
      "2020-12-04: 4344.094409169798\n",
      "2020-12-05: 4432.40378551273\n",
      "2020-12-06: 4517.091265686362\n",
      "\n",
      "Predicting for Germany\n",
      "2020-11-30: 17917.11727053327\n",
      "2020-12-01: 18221.28175639713\n",
      "2020-12-02: 18530.283466973804\n",
      "2020-12-03: 18839.17302187587\n",
      "2020-12-04: 19152.974945768878\n",
      "2020-12-05: 19471.767361621758\n",
      "2020-12-06: 19795.629634817917\n",
      "\n",
      "Predicting for Djibouti\n",
      "2020-11-30: 20.529023673844158\n",
      "2020-12-01: 40.03471111785976\n",
      "2020-12-02: 59.85060372299604\n",
      "2020-12-03: 69.92901815481738\n",
      "2020-12-04: 80.1677128219105\n",
      "2020-12-05: 90.5692367119155\n",
      "2020-12-06: 101.13617934983495\n",
      "\n",
      "Predicting for Dominica\n",
      "2020-11-30: 21.109539855877465\n",
      "2020-12-01: 40.58080501023467\n",
      "2020-12-02: 60.36172789707462\n",
      "2020-12-03: 70.40461647602967\n",
      "2020-12-04: 80.60722031130132\n",
      "2020-12-05: 90.97207940548935\n",
      "2020-12-06: 101.5017741556641\n",
      "\n",
      "Predicting for Denmark\n",
      "2020-11-30: 1306.0821087866107\n",
      "2020-12-01: 1346.032356466772\n",
      "2020-12-02: 1386.6179456622735\n",
      "2020-12-03: 1422.8226720986618\n",
      "2020-12-04: 1459.6031738328838\n",
      "2020-12-05: 1496.9686076029188\n",
      "2020-12-06: 1534.9282757692677\n",
      "\n",
      "Predicting for Dominican Republic\n",
      "2020-11-30: 754.0112196729323\n",
      "2020-12-01: 785.3146650917118\n",
      "2020-12-02: 817.1159391749585\n",
      "2020-12-03: 849.4229590505106\n",
      "2020-12-04: 882.2437677548128\n",
      "2020-12-05: 915.5865362352803\n",
      "2020-12-06: 949.4595653845081\n",
      "\n",
      "Predicting for Algeria\n",
      "2020-11-30: 1087.2275081600524\n",
      "2020-12-01: 1123.6972414085012\n",
      "2020-12-02: 1160.7469644425364\n",
      "2020-12-03: 1198.3859010244782\n",
      "2020-12-04: 1236.623421605078\n",
      "2020-12-05: 1275.4690456563503\n",
      "2020-12-06: 1314.9324440415057\n",
      "\n",
      "Predicting for Ecuador\n",
      "2020-11-30: 958.7883028851826\n",
      "2020-12-01: 993.3483834917248\n",
      "2020-12-02: 1028.4580840695533\n",
      "2020-12-03: 1054.073528774226\n",
      "2020-12-04: 1080.096344056049\n",
      "2020-12-05: 1106.5330084590828\n",
      "2020-12-06: 1133.3901035577364\n",
      "\n",
      "Predicting for Egypt\n",
      "2020-11-30: 384.07728267220506\n",
      "2020-12-01: 409.45289957957624\n",
      "2020-12-02: 435.2320730062386\n",
      "2020-12-03: 456.39491252710894\n",
      "2020-12-04: 477.89431142647777\n",
      "2020-12-05: 499.7356221153551\n",
      "2020-12-06: 521.9242821258482\n",
      "\n",
      "Predicting for Eritrea\n",
      "2020-11-30: 22.996217447485726\n",
      "2020-12-01: 42.58479588345809\n",
      "2020-12-02: 62.48489772240185\n",
      "2020-12-03: 72.64886059430145\n",
      "2020-12-04: 82.97446420556756\n",
      "2020-12-05: 93.4642791803703\n",
      "2020-12-06: 104.12091702433489\n",
      "\n",
      "Predicting for Spain\n",
      "2020-11-30: 10392.756777108516\n",
      "2020-12-01: 10577.25896109801\n",
      "2020-12-02: 10764.69534209419\n",
      "2020-12-03: 10955.112583566764\n",
      "2020-12-04: 11148.55809108947\n",
      "2020-12-05: 11345.080024141978\n",
      "2020-12-06: 11544.727308099513\n",
      "\n",
      "Predicting for Estonia\n",
      "2020-11-30: 357.08328020765606\n",
      "2020-12-01: 381.8976427820491\n",
      "2020-12-02: 407.1066360692837\n",
      "2020-12-03: 422.66391938136775\n",
      "2020-12-04: 438.4686151258655\n",
      "2020-12-05: 454.5246579815049\n",
      "2020-12-06: 470.83604520146315\n",
      "\n",
      "Predicting for Ethiopia\n",
      "2020-11-30: 563.3116538749897\n",
      "2020-12-01: 591.4493863950026\n",
      "2020-12-02: 620.0346022387895\n",
      "2020-12-03: 639.0218012502662\n",
      "2020-12-04: 658.3109597361522\n",
      "2020-12-05: 677.9068798541606\n",
      "2020-12-06: 697.8144401322486\n",
      "\n",
      "Predicting for Finland\n",
      "2020-11-30: 453.158708334169\n",
      "2020-12-01: 479.5882978945414\n",
      "2020-12-02: 506.4382056370574\n",
      "2020-12-03: 523.662499389732\n",
      "2020-12-04: 541.2053678386591\n",
      "2020-12-05: 559.0272261129556\n",
      "2020-12-06: 577.1325110766892\n",
      "\n",
      "Predicting for Fiji\n",
      "2020-11-30: 19.65824940079419\n",
      "2020-12-01: 39.1500886441531\n",
      "2020-12-02: 58.90726155052416\n",
      "2020-12-03: 78.97863907143652\n",
      "2020-12-04: 94.34290979000205\n",
      "2020-12-05: 109.9515234002208\n",
      "2020-12-06: 125.80836576493617\n",
      "\n",
      "Predicting for France\n",
      "2020-11-30: 11206.49533527371\n",
      "2020-12-01: 11403.983314042633\n",
      "2020-12-02: 11604.61200704935\n",
      "2020-12-03: 11808.43136207289\n",
      "2020-12-04: 12015.492121227713\n",
      "2020-12-05: 12225.845833596299\n",
      "2020-12-06: 12439.544868062601\n",
      "\n",
      "Predicting for Faeroe Islands\n",
      "2020-11-30: 19.513120355285864\n",
      "2020-12-01: 39.00165472286946\n",
      "2020-12-02: 58.800121460735\n",
      "2020-12-03: 68.86083289616724\n",
      "2020-12-04: 79.08154303048022\n",
      "2020-12-05: 89.46479637395116\n",
      "2020-12-06: 100.01317790301479\n",
      "\n",
      "Predicting for Gabon\n",
      "2020-11-30: 27.930604994768867\n",
      "2020-12-01: 47.6423078335578\n",
      "2020-12-02: 67.66749216191842\n",
      "2020-12-03: 88.0111433758415\n",
      "2020-12-04: 108.67832615565843\n",
      "2020-12-05: 129.67418572692526\n",
      "2020-12-06: 151.00394914135916\n",
      "\n",
      "Predicting for United Kingdom\n",
      "2020-11-30: 15298.699031472024\n",
      "2020-12-01: 15561.221977961255\n",
      "2020-12-02: 15827.919910497365\n",
      "2020-12-03: 16093.832916900468\n",
      "2020-12-04: 16363.974822553195\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-12-05: 16638.412880987456\n",
      "2020-12-06: 16912.189106976555\n",
      "\n",
      "Predicting for United Kingdom / England\n",
      "2020-11-30: 12620.342496615838\n",
      "2020-12-01: 12840.270685918562\n",
      "2020-12-02: 13063.696463275715\n",
      "2020-12-03: 13290.675451944315\n",
      "2020-12-04: 13521.26415977575\n",
      "2020-12-05: 13755.519993283775\n",
      "2020-12-06: 13988.47496362325\n",
      "\n",
      "Predicting for United Kingdom / Northern Ireland\n",
      "2020-11-30: 368.5484748028139\n",
      "2020-12-01: 393.6324808660456\n",
      "2020-12-02: 419.11540586841903\n",
      "2020-12-03: 439.97728563193664\n",
      "2020-12-04: 461.17093851505825\n",
      "2020-12-05: 482.70164081139404\n",
      "2020-12-06: 504.57475272513227\n",
      "\n",
      "Predicting for United Kingdom / Scotland\n",
      "2020-11-30: 852.5538415730867\n",
      "2020-12-01: 885.3351391679898\n",
      "2020-12-02: 918.637768181299\n",
      "2020-12-03: 947.4437111996697\n",
      "2020-12-04: 976.7077643062336\n",
      "2020-12-05: 1006.437212971658\n",
      "2020-12-06: 1036.6394585297712\n",
      "\n",
      "Predicting for United Kingdom / Wales\n",
      "2020-11-30: 1102.7563160294435\n",
      "2020-12-01: 1139.5613145454613\n",
      "2020-12-02: 1176.9516346774167\n",
      "2020-12-03: 1209.9102766684618\n",
      "2020-12-04: 1243.3930704423392\n",
      "2020-12-05: 1277.4083517518243\n",
      "2020-12-06: 1311.9645889158242\n",
      "\n",
      "Predicting for Georgia\n",
      "2020-11-30: 4030.009163932413\n",
      "2020-12-01: 4113.411848255066\n",
      "2020-12-02: 4198.140912035119\n",
      "2020-12-03: 4289.243757420579\n",
      "2020-12-04: 4381.79544037777\n",
      "2020-12-05: 4475.819002232136\n",
      "2020-12-06: 4571.337850742657\n",
      "\n",
      "Predicting for Ghana\n",
      "2020-11-30: 120.08754889255695\n",
      "2020-12-01: 141.22119854408172\n",
      "2020-12-02: 162.69094335831406\n",
      "2020-12-03: 174.44951173776104\n",
      "2020-12-04: 186.39508037593586\n",
      "2020-12-05: 198.53062319752354\n",
      "2020-12-06: 210.85916142248072\n",
      "\n",
      "Predicting for Guinea\n",
      "2020-11-30: 50.135348957543\n",
      "2020-12-01: 70.20117775540983\n",
      "2020-12-02: 90.45216602349916\n",
      "2020-12-03: 111.02521220913619\n",
      "2020-12-04: 131.92543810197787\n",
      "2020-12-05: 153.15804694513375\n",
      "2020-12-06: 174.72832473054598\n",
      "\n",
      "Predicting for Gambia\n",
      "2020-11-30: 20.383894628335828\n",
      "2020-12-01: 39.8862771965761\n",
      "2020-12-02: 59.698812367444816\n",
      "2020-12-03: 69.7738159706519\n",
      "2020-12-04: 80.00904556563674\n",
      "2020-12-05: 90.4070492773879\n",
      "2020-12-06: 100.97041575453736\n",
      "\n",
      "Predicting for Greece\n",
      "2020-11-30: 1849.0098680332644\n",
      "2020-12-01: 1897.6827745120572\n",
      "2020-12-02: 1947.12974172774\n",
      "2020-12-03: 1997.3630798147956\n",
      "2020-12-04: 2048.3952946796962\n",
      "2020-12-05: 2100.239091114329\n",
      "2020-12-06: 2152.907375958933\n",
      "\n",
      "Predicting for Greenland\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.70777740729979\n",
      "2020-12-02: 58.5025673629313\n",
      "2020-12-03: 68.55954354309038\n",
      "2020-12-04: 78.7764590191757\n",
      "2020-12-05: 89.15585735676038\n",
      "2020-12-06: 99.70032257255109\n",
      "\n",
      "Predicting for Guatemala\n",
      "2020-11-30: 504.2441323531003\n",
      "2020-12-01: 531.531797793426\n",
      "2020-12-02: 559.2534276699613\n",
      "2020-12-03: 577.3633068314468\n",
      "2020-12-04: 595.7611931702897\n",
      "2020-12-05: 614.4516669563785\n",
      "2020-12-06: 633.4393813010929\n",
      "\n",
      "Predicting for Guam\n",
      "2020-11-30: 58.26257550600935\n",
      "2020-12-01: 78.45665733433931\n",
      "2020-12-02: 98.97189207897746\n",
      "2020-12-03: 114.78707882409209\n",
      "2020-12-04: 130.85377952207318\n",
      "2020-12-05: 147.17599407943504\n",
      "2020-12-06: 163.75778601447945\n",
      "\n",
      "Predicting for Guyana\n",
      "2020-11-30: 54.48922032279284\n",
      "2020-12-01: 74.62329328161053\n",
      "2020-12-02: 95.07756481656821\n",
      "2020-12-03: 115.85712714762417\n",
      "2020-12-04: 136.9671534779328\n",
      "2020-12-05: 158.41289928174635\n",
      "2020-12-06: 180.19970361279812\n",
      "\n",
      "Predicting for Hong Kong\n",
      "2020-11-30: 107.7515800243491\n",
      "2020-12-01: 128.73270125666704\n",
      "2020-12-02: 150.04749194365274\n",
      "2020-12-03: 166.67495022397125\n",
      "2020-12-04: 183.5668402701364\n",
      "2020-12-05: 200.72736742475738\n",
      "2020-12-06: 218.16080390934655\n",
      "\n",
      "Predicting for Honduras\n",
      "2020-11-30: 520.3534564045246\n",
      "2020-12-01: 547.9409679804284\n",
      "2020-12-02: 575.9672125411543\n",
      "2020-12-03: 604.4391673971221\n",
      "2020-12-04: 633.3639208211417\n",
      "2020-12-05: 662.7486738130837\n",
      "2020-12-06: 692.6007418926132\n",
      "\n",
      "Predicting for Croatia\n",
      "2020-11-30: 3341.807230131923\n",
      "2020-12-01: 3414.13226291396\n",
      "2020-12-02: 3487.607503732069\n",
      "2020-12-03: 3552.198628085124\n",
      "2020-12-04: 3617.816965664804\n",
      "2020-12-05: 3684.4788525702793\n",
      "2020-12-06: 3752.2008846989092\n",
      "\n",
      "Predicting for Haiti\n",
      "2020-11-30: 27.640346903752214\n",
      "2020-12-01: 47.25912798646403\n",
      "2020-12-02: 67.18991279445964\n",
      "2020-12-03: 87.4376632223736\n",
      "2020-12-04: 108.00742007543151\n",
      "2020-12-05: 128.90430432439024\n",
      "2020-12-06: 150.133518380436\n",
      "\n",
      "Predicting for Hungary\n",
      "2020-11-30: 5375.790802931135\n",
      "2020-12-01: 5480.551230102926\n",
      "2020-12-02: 5586.977695720333\n",
      "2020-12-03: 5695.0966953234865\n",
      "2020-12-04: 5804.935145819533\n",
      "2020-12-05: 5916.520392183768\n",
      "2020-12-06: 6029.880214267339\n",
      "\n",
      "Predicting for Indonesia\n",
      "2020-11-30: 5330.655669778045\n",
      "2020-12-01: 5434.698298549131\n",
      "2020-12-02: 5540.395550389207\n",
      "2020-12-03: 5642.747430983065\n",
      "2020-12-04: 5746.727046139048\n",
      "2020-12-05: 5852.3602822384255\n",
      "2020-12-06: 5959.673437341835\n",
      "\n",
      "Predicting for India\n",
      "2020-11-30: 42371.65169677751\n",
      "2020-12-01: 43064.813736348224\n",
      "2020-12-02: 43768.99935264675\n",
      "2020-12-03: 44484.38385712544\n",
      "2020-12-04: 45211.14534927052\n",
      "2020-12-05: 45949.46476094108\n",
      "2020-12-06: 46699.52590141322\n",
      "\n",
      "Predicting for Ireland\n",
      "2020-11-30: 277.5525632690925\n",
      "2020-12-01: 301.23408362946316\n",
      "2020-12-02: 325.2922187520695\n",
      "2020-12-03: 349.73295806144915\n",
      "2020-12-04: 374.56238623386605\n",
      "2020-12-05: 399.78668471212916\n",
      "2020-12-06: 425.4121332445016\n",
      "\n",
      "Predicting for Iran\n",
      "2020-11-30: 13717.663209704304\n",
      "2020-12-01: 13955.131742399411\n",
      "2020-12-02: 14196.37681281754\n",
      "2020-12-03: 14436.43217212818\n",
      "2020-12-04: 14680.305208289561\n",
      "2020-12-05: 14928.056635032795\n",
      "2020-12-06: 15179.7481316388\n",
      "\n",
      "Predicting for Iraq\n",
      "2020-11-30: 2212.703256077134\n",
      "2020-12-01: 2267.0717886743423\n",
      "2020-12-02: 2322.304961364991\n",
      "2020-12-03: 2373.3902164829587\n",
      "2020-12-04: 2425.2878966866992\n",
      "2020-12-05: 2478.010922231156\n",
      "2020-12-06: 2531.5724188462036\n",
      "\n",
      "Predicting for Iceland\n",
      "2020-11-30: 34.31628299713529\n",
      "2020-12-01: 54.0848880416445\n",
      "2020-12-02: 74.16787950962963\n",
      "2020-12-03: 84.51764056260228\n",
      "2020-12-04: 95.03199716260258\n",
      "2020-12-05: 105.71356692504817\n",
      "2020-12-06: 116.56500909412857\n",
      "\n",
      "Predicting for Israel\n",
      "2020-11-30: 979.5417563928735\n",
      "2020-12-01: 1014.3872345159712\n",
      "2020-12-02: 1049.7868713779762\n",
      "2020-12-03: 1085.749479941846\n",
      "2020-12-04: 1122.2840133258942\n",
      "2020-12-05: 1159.3995670327272\n",
      "2020-12-06: 1197.1053812136274\n",
      "\n",
      "Predicting for Italy\n",
      "2020-11-30: 25606.924875837518\n",
      "2020-12-01: 26033.427472966287\n",
      "2020-12-02: 26466.712876763133\n",
      "2020-12-03: 26906.88895636322\n",
      "2020-12-04: 27354.065296378925\n",
      "2020-12-05: 27808.353224181636\n",
      "2020-12-06: 28269.865837617377\n",
      "\n",
      "Predicting for Jamaica\n",
      "2020-11-30: 80.90270660530848\n",
      "2020-12-01: 101.45684165071214\n",
      "2020-12-02: 122.33785565343302\n",
      "2020-12-03: 143.5509470736594\n",
      "2020-12-04: 165.10139704434783\n",
      "2020-12-05: 186.9945706859947\n",
      "2020-12-06: 209.23591844231672\n",
      "\n",
      "Predicting for Jordan\n",
      "2020-11-30: 4500.51752947041\n",
      "2020-12-01: 4591.4028582145565\n",
      "2020-12-02: 4683.733565293996\n",
      "2020-12-03: 4777.532637020833\n",
      "2020-12-04: 4872.823425265814\n",
      "2020-12-05: 4969.629653271925\n",
      "2020-12-06: 5067.975421560444\n",
      "\n",
      "Predicting for Japan\n",
      "2020-11-30: 2120.8365702703622\n",
      "2020-12-01: 2173.7441176982907\n",
      "2020-12-02: 2227.4930707071035\n",
      "2020-12-03: 2277.0705021248245\n",
      "2020-12-04: 2327.4363792276836\n",
      "2020-12-05: 2378.6032409185773\n",
      "2020-12-06: 2430.5838255105696\n",
      "\n",
      "Predicting for Kazakhstan\n",
      "2020-11-30: 951.2415925187496\n",
      "2020-12-01: 985.6370041205051\n",
      "2020-12-02: 1020.5794169099071\n",
      "2020-12-03: 1056.077530021094\n",
      "2020-12-04: 1092.1401809333065\n",
      "2020-12-05: 1128.8209989367947\n",
      "2020-12-06: 1166.0851636739712\n",
      "\n",
      "Predicting for Kenya\n",
      "2020-11-30: 881.8699087657689\n",
      "2020-12-01: 915.1620803818755\n",
      "2020-12-02: 948.9837080086905\n",
      "2020-12-03: 983.3432117538148\n",
      "2020-12-04: 1018.2491456325026\n",
      "2020-12-05: 1053.7101996972378\n",
      "2020-12-06: 1089.7352022011773\n",
      "\n",
      "Predicting for Kyrgyz Republic\n",
      "2020-11-30: 487.4091630741343\n",
      "2020-12-01: 514.4280997927649\n",
      "2020-12-02: 541.8767272691382\n",
      "2020-12-03: 559.7092623863248\n",
      "2020-12-04: 577.825393990182\n",
      "2020-12-05: 596.2296322059793\n",
      "2020-12-06: 614.9265588849452\n",
      "\n",
      "Predicting for Cambodia\n",
      "2020-11-30: 21.69005603791078\n",
      "2020-12-01: 41.30251343866017\n",
      "2020-12-02: 61.226873997164645\n",
      "2020-12-03: 81.46809800870132\n",
      "2020-12-04: 102.03122465370325\n",
      "2020-12-05: 122.92137325229518\n",
      "2020-12-06: 144.14374453878062\n",
      "\n",
      "Predicting for South Korea\n",
      "2020-11-30: 483.20042075439284\n",
      "2020-12-01: 510.1087700797533\n",
      "2020-12-02: 537.4887058797423\n",
      "2020-12-03: 560.2777652078984\n",
      "2020-12-04: 583.429246206194\n",
      "2020-12-05: 606.9489125819017\n",
      "2020-12-06: 630.8426197043672\n",
      "\n",
      "Predicting for Kuwait\n",
      "2020-11-30: 363.1787001190058\n",
      "2020-12-01: 388.26661147637867\n",
      "2020-12-02: 413.7535038800301\n",
      "2020-12-03: 434.6194141396721\n",
      "2020-12-04: 455.8171616171819\n",
      "2020-12-05: 477.35202362554486\n",
      "2020-12-06: 499.22936140453567\n",
      "\n",
      "Predicting for Laos\n",
      "2020-11-30: 21.254668901385795\n",
      "2020-12-01: 40.683590823423735\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-12-02: 60.421497080032054\n",
      "2020-12-03: 70.4206849215816\n",
      "2020-12-04: 80.57889303269953\n",
      "2020-12-05: 90.89865036339\n",
      "2020-12-06: 101.38252608235474\n",
      "\n",
      "Predicting for Lebanon\n",
      "2020-11-30: 1538.4337106454432\n",
      "2020-12-01: 1582.2120768224486\n",
      "2020-12-02: 1626.6866643027288\n",
      "2020-12-03: 1671.8685453154562\n",
      "2020-12-04: 1717.768968174992\n",
      "2020-12-05: 1764.3993600812237\n",
      "2020-12-06: 1811.7713299644383\n",
      "\n",
      "Predicting for Liberia\n",
      "2020-11-30: 25.608540266635625\n",
      "2020-12-01: 45.23966014691057\n",
      "2020-12-02: 65.09367744877349\n",
      "2020-12-03: 80.23713119948412\n",
      "2020-12-04: 95.6214161192651\n",
      "2020-12-05: 111.38431602020307\n",
      "2020-12-06: 127.39789833966815\n",
      "\n",
      "Predicting for Libya\n",
      "2020-11-30: 687.8323749211348\n",
      "2020-12-01: 718.0387058242446\n",
      "2020-12-02: 748.7254176301838\n",
      "2020-12-03: 774.8738416765136\n",
      "2020-12-04: 801.4381124402496\n",
      "2020-12-05: 828.42484326421\n",
      "2020-12-06: 855.8407526653108\n",
      "\n",
      "Predicting for Sri Lanka\n",
      "2020-11-30: 500.0353900333588\n",
      "2020-12-01: 527.1678168146523\n",
      "2020-12-02: 554.7317392223082\n",
      "2020-12-03: 587.7603277816949\n",
      "2020-12-04: 621.3141805064722\n",
      "2020-12-05: 655.4016508399898\n",
      "2020-12-06: 690.0312250730676\n",
      "\n",
      "Predicting for Lesotho\n",
      "2020-11-30: 22.560830310960743\n",
      "2020-12-01: 42.098830223175256\n",
      "2020-12-02: 61.94754917198563\n",
      "2020-12-03: 77.0856203082473\n",
      "2020-12-04: 92.46443701214706\n",
      "2020-12-05: 108.08782793713854\n",
      "2020-12-06: 123.95968262497092\n",
      "\n",
      "Predicting for Lithuania\n",
      "2020-11-30: 1927.0892945167448\n",
      "2020-12-01: 1977.0039229877534\n",
      "2020-12-02: 2027.712359696055\n",
      "2020-12-03: 2074.2009205139566\n",
      "2020-12-04: 2121.428803723862\n",
      "2020-12-05: 2169.4077670052884\n",
      "2020-12-06: 2218.149755023876\n",
      "\n",
      "Predicting for Luxembourg\n",
      "2020-11-30: 548.5084912331403\n",
      "2020-12-01: 576.4544587654192\n",
      "2020-12-02: 604.8448599217837\n",
      "2020-12-03: 633.6867626717357\n",
      "2020-12-04: 662.9873473889473\n",
      "2020-12-05: 692.7539086388612\n",
      "2020-12-06: 722.9938569947174\n",
      "\n",
      "Predicting for Latvia\n",
      "2020-11-30: 578.6953326988723\n",
      "2020-12-01: 607.1660224530115\n",
      "2020-12-02: 636.0894906558851\n",
      "2020-12-03: 655.4203213614684\n",
      "2020-12-04: 675.0585764257589\n",
      "2020-12-05: 695.0091449162659\n",
      "2020-12-06: 715.2769936528965\n",
      "\n",
      "Predicting for Macao\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.66412298387027\n",
      "2020-12-02: 58.41456426586999\n",
      "2020-12-03: 68.42648648131288\n",
      "2020-12-04: 78.59763148512882\n",
      "2020-12-05: 88.93053144804304\n",
      "2020-12-06: 99.42775881069848\n",
      "\n",
      "Predicting for Morocco\n",
      "2020-11-30: 4207.937373725622\n",
      "2020-12-01: 4294.080404517599\n",
      "2020-12-02: 4381.593395369839\n",
      "2020-12-03: 4470.49813319359\n",
      "2020-12-04: 4560.816751384294\n",
      "2020-12-05: 4652.57173533183\n",
      "2020-12-06: 4745.785928018394\n",
      "\n",
      "Predicting for Monaco\n",
      "2020-11-30: 22.996217447485726\n",
      "2020-12-01: 42.58479588345809\n",
      "2020-12-02: 62.48489772240185\n",
      "2020-12-03: 82.70147722023282\n",
      "2020-12-04: 103.23956742197686\n",
      "2020-12-05: 124.10428141477821\n",
      "2020-12-06: 145.30081360083477\n",
      "\n",
      "Predicting for Moldova\n",
      "2020-11-30: 1336.414079297851\n",
      "2020-12-01: 1376.8903603909826\n",
      "2020-12-02: 1418.0103486763933\n",
      "2020-12-03: 1454.7579729216545\n",
      "2020-12-04: 1492.0900063415488\n",
      "2020-12-05: 1530.0157429813485\n",
      "2020-12-06: 1568.544624692489\n",
      "\n",
      "Predicting for Madagascar\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.66412298387027\n",
      "2020-12-02: 58.41456426586999\n",
      "2020-12-03: 68.42648648131288\n",
      "2020-12-04: 78.59763148512882\n",
      "2020-12-05: 88.93053144804304\n",
      "2020-12-06: 99.42775881069848\n",
      "\n",
      "Predicting for Mexico\n",
      "2020-11-30: 9481.056113225202\n",
      "2020-12-01: 9651.148533658676\n",
      "2020-12-02: 9823.945988038653\n",
      "2020-12-03: 9999.491495381697\n",
      "2020-12-04: 10177.828758849495\n",
      "2020-12-05: 10359.002176629036\n",
      "2020-12-06: 10543.05685298582\n",
      "\n",
      "Predicting for Mali\n",
      "2020-11-30: 82.0637389693751\n",
      "2020-12-01: 102.54803259312942\n",
      "2020-12-02: 123.35809446382395\n",
      "2020-12-03: 134.4464887517346\n",
      "2020-12-04: 145.71122530630583\n",
      "2020-12-05: 157.1551085547797\n",
      "2020-12-06: 168.78098752409795\n",
      "\n",
      "Predicting for Malta\n",
      "2020-11-30: 139.38971194516455\n",
      "2020-12-01: 160.82933320224652\n",
      "2020-12-02: 182.60991558594904\n",
      "2020-12-03: 194.68426488375337\n",
      "2020-12-04: 206.9506364048248\n",
      "2020-12-05: 219.4120839397502\n",
      "2020-12-06: 232.071709844521\n",
      "\n",
      "Predicting for Myanmar\n",
      "2020-11-30: 1505.3442882695444\n",
      "2020-12-01: 1548.5964228215962\n",
      "2020-12-02: 1592.5364098477553\n",
      "2020-12-03: 1642.2014967980044\n",
      "2020-12-04: 1687.6301151342832\n",
      "2020-12-05: 1733.7811992596266\n",
      "2020-12-06: 1780.6662387776264\n",
      "\n",
      "Predicting for Mongolia\n",
      "2020-11-30: 41.13734813602669\n",
      "2020-12-01: 61.10373328387066\n",
      "2020-12-02: 81.38765021517838\n",
      "2020-12-03: 101.99414873905465\n",
      "2020-12-04: 122.92835897332714\n",
      "2020-12-05: 144.19549262172154\n",
      "2020-12-06: 165.80084427134818\n",
      "\n",
      "Predicting for Mozambique\n",
      "2020-11-30: 102.81719247706596\n",
      "2020-12-01: 123.71984057232939\n",
      "2020-12-02: 144.95491013896373\n",
      "2020-12-03: 156.47507115559242\n",
      "2020-12-04: 168.1784409627114\n",
      "2020-12-05: 180.06793318807848\n",
      "2020-12-06: 192.14650779580197\n",
      "\n",
      "Predicting for Mauritania\n",
      "2020-11-30: 80.0319323322585\n",
      "2020-12-01: 100.44025906438442\n",
      "2020-12-02: 121.17314591777307\n",
      "2020-12-03: 132.27044669635188\n",
      "2020-12-04: 143.54423138434964\n",
      "2020-12-05: 155.0866091931223\n",
      "2020-12-06: 166.81254911310808\n",
      "\n",
      "Predicting for Mauritius\n",
      "2020-11-30: 20.2387655828275\n",
      "2020-12-01: 39.65153127076598\n",
      "2020-12-02: 59.373024355537254\n",
      "2020-12-03: 69.35553800134949\n",
      "2020-12-04: 79.49680674168359\n",
      "2020-12-05: 89.79935530938047\n",
      "2020-12-06: 100.26574858891175\n",
      "\n",
      "Predicting for Malawi\n",
      "2020-11-30: 22.415701265452416\n",
      "2020-12-01: 42.03969883341571\n",
      "2020-12-02: 61.97578308608951\n",
      "2020-12-03: 72.1763006115072\n",
      "2020-12-04: 82.53904021659108\n",
      "2020-12-05: 93.06658177075124\n",
      "2020-12-06: 103.7615461718829\n",
      "\n",
      "Predicting for Malaysia\n",
      "2020-11-30: 1428.4258941501307\n",
      "2020-12-01: 1470.4547709775088\n",
      "2020-12-02: 1513.1520464217201\n",
      "2020-12-03: 1556.528350238892\n",
      "2020-12-04: 1600.5944812335497\n",
      "2020-12-05: 1645.361409947047\n",
      "2020-12-06: 1690.8402813887515\n",
      "\n",
      "Predicting for Namibia\n",
      "2020-11-30: 88.8848041082665\n",
      "2020-12-01: 109.47757530383149\n",
      "2020-12-02: 130.3978398997176\n",
      "2020-12-03: 141.59818950186457\n",
      "2020-12-04: 152.97666183169872\n",
      "2020-12-05: 164.53608963170095\n",
      "2020-12-06: 176.27935069435821\n",
      "\n",
      "Predicting for Niger\n",
      "2020-11-30: 40.7019609995017\n",
      "2020-12-01: 60.48481066863422\n",
      "2020-12-02: 80.58227329804579\n",
      "2020-12-03: 90.94673565193494\n",
      "2020-12-04: 101.47602735232344\n",
      "2020-12-05: 112.17276973281642\n",
      "2020-12-06: 123.03962581492237\n",
      "\n",
      "Predicting for Nigeria\n",
      "2020-11-30: 168.5606500923384\n",
      "2020-12-01: 190.42053164798966\n",
      "2020-12-02: 212.628057863667\n",
      "2020-12-03: 235.18875744314394\n",
      "2020-12-04: 258.1082470149313\n",
      "2020-12-05: 281.3922325305722\n",
      "2020-12-06: 305.04651068517506\n",
      "\n",
      "Predicting for Nicaragua\n",
      "2020-11-30: 27.78547594926054\n",
      "2020-12-01: 47.31825937622358\n",
      "2020-12-02: 67.16167888035578\n",
      "2020-12-03: 77.2680579802167\n",
      "2020-12-04: 87.53516204637359\n",
      "2020-12-05: 97.96554713916572\n",
      "2020-12-06: 108.5618099687742\n",
      "\n",
      "Predicting for Netherlands\n",
      "2020-11-30: 4991.634219470591\n",
      "2020-12-01: 5090.240630853581\n",
      "2020-12-02: 5190.415211408685\n",
      "2020-12-03: 5287.156591916833\n",
      "2020-12-04: 5385.436481416972\n",
      "2020-12-05: 5485.279347307706\n",
      "2020-12-06: 5586.710046100473\n",
      "\n",
      "Predicting for Norway\n",
      "2020-11-30: 463.7531286562769\n",
      "2020-12-01: 490.3512046579723\n",
      "2020-12-02: 517.3722783353603\n",
      "2020-12-03: 539.7967684422613\n",
      "2020-12-04: 562.5778823588396\n",
      "2020-12-05: 585.721291587146\n",
      "2020-12-06: 609.2327578249351\n",
      "\n",
      "Predicting for Nepal\n",
      "2020-11-30: 1712.878823346453\n",
      "2020-12-01: 1759.3867944559179\n",
      "2020-12-02: 1806.634396645437\n",
      "2020-12-03: 1849.6070841907258\n",
      "2020-12-04: 1893.2631800753534\n",
      "2020-12-05: 1937.6135527598458\n",
      "2020-12-06: 1982.6692435493187\n",
      "\n",
      "Predicting for New Zealand\n",
      "2020-11-30: 22.996217447485726\n",
      "2020-12-01: 42.45283577083703\n",
      "2020-12-02: 62.218878893451716\n",
      "2020-12-03: 72.24665107055097\n",
      "2020-12-04: 82.43389810301262\n",
      "2020-12-05: 92.78315617026355\n",
      "2020-12-06: 103.29700178539996\n",
      "\n",
      "Predicting for Oman\n",
      "2020-11-30: 222.83891311245296\n",
      "2020-12-01: 245.60565359913346\n",
      "2020-12-02: 268.73446081230765\n",
      "2020-12-03: 282.17847618853494\n",
      "2020-12-04: 295.836296023993\n",
      "2020-12-05: 309.7113205191061\n",
      "2020-12-06: 323.80700394876914\n",
      "\n",
      "Predicting for Pakistan\n",
      "2020-11-30: 3080.7200772624415\n",
      "2020-12-01: 3149.0259148358705\n",
      "2020-12-02: 3218.418041903621\n",
      "2020-12-03: 3293.940042386533\n",
      "2020-12-04: 3370.663093301285\n",
      "2020-12-05: 3448.606295335498\n",
      "2020-12-06: 3527.7890529411147\n",
      "\n",
      "Predicting for Panama\n",
      "2020-11-30: 1462.676348890096\n",
      "2020-12-01: 1505.2499216099704\n",
      "2020-12-02: 1548.5005554189738\n",
      "2020-12-03: 1587.4127095223243\n",
      "2020-12-04: 1626.9436960081698\n",
      "2020-12-05: 1672.1296646779888\n",
      "2020-12-06: 1718.0342402019287\n",
      "\n",
      "Predicting for Peru\n",
      "2020-11-30: 2116.1924408140962\n",
      "2020-12-01: 2169.0697855952853\n",
      "2020-12-02: 2222.7880556350465\n",
      "2020-12-03: 2277.36062443565\n",
      "2020-12-04: 2332.801078182434\n",
      "2020-12-05: 2389.1232191261697\n",
      "2020-12-06: 2446.3410690192186\n",
      "\n",
      "Predicting for Philippines\n",
      "2020-11-30: 1622.3182989492566\n",
      "2020-12-01: 1667.4307084561888\n",
      "2020-12-02: 1713.260554982442\n",
      "2020-12-03: 1759.8192481574802\n",
      "2020-12-04: 1807.1183790617388\n",
      "2020-12-05: 1855.169723112298\n",
      "2020-12-06: 1903.9852429944476\n",
      "\n",
      "Predicting for Papua New Guinea\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-11-30: 25.17315313011064\n",
      "2020-12-01: 44.70804637853315\n",
      "2020-12-02: 64.55360925728758\n",
      "2020-12-03: 74.66216581854013\n",
      "2020-12-04: 84.93148197495081\n",
      "2020-12-05: 95.36411433757273\n",
      "2020-12-06: 105.96266017605899\n",
      "\n",
      "Predicting for Poland\n",
      "2020-11-30: 17978.071469646766\n",
      "2020-12-01: 18283.24998082236\n",
      "2020-12-02: 18593.281843078323\n",
      "2020-12-03: 18903.21793249\n",
      "2020-12-04: 19218.083034264302\n",
      "2020-12-05: 19537.95553605501\n",
      "2020-12-06: 19862.915072139735\n",
      "\n",
      "Predicting for Puerto Rico\n",
      "2020-11-30: 635.0054023561036\n",
      "2020-12-01: 664.4162603518035\n",
      "2020-12-02: 694.2948485912818\n",
      "2020-12-03: 724.6486055376047\n",
      "2020-12-04: 755.4850879500859\n",
      "2020-12-05: 786.8119727655901\n",
      "2020-12-06: 818.6370590097542\n",
      "\n",
      "Predicting for Portugal\n",
      "2020-11-30: 4959.560700413252\n",
      "2020-12-01: 5057.746338936911\n",
      "2020-12-02: 5157.493454947862\n",
      "2020-12-03: 5258.826881120006\n",
      "2020-12-04: 5361.771845049169\n",
      "2020-12-05: 5466.35397553367\n",
      "2020-12-06: 5572.59930895477\n",
      "\n",
      "Predicting for Paraguay\n",
      "2020-11-30: 807.2735793744885\n",
      "2020-12-01: 839.4240730667683\n",
      "2020-12-02: 872.085866302043\n",
      "2020-12-03: 905.2670904398233\n",
      "2020-12-04: 938.9760061552208\n",
      "2020-12-05: 973.2210054954951\n",
      "2020-12-06: 1008.0106139693063\n",
      "\n",
      "Predicting for Palestine\n",
      "2020-11-30: 1752.2087946792099\n",
      "2020-12-01: 1799.2995852705712\n",
      "2020-12-02: 1847.1392757058688\n",
      "2020-12-03: 1900.766084290855\n",
      "2020-12-04: 1955.2457370960328\n",
      "2020-12-05: 2010.5917971747167\n",
      "2020-12-06: 2066.8180432777785\n",
      "\n",
      "Predicting for Qatar\n",
      "2020-11-30: 225.1609778405862\n",
      "2020-12-01: 248.00929812811324\n",
      "2020-12-02: 271.22098253169474\n",
      "2020-12-03: 289.77550143365534\n",
      "2020-12-04: 308.6250987604097\n",
      "2020-12-05: 327.77446723814694\n",
      "2020-12-06: 347.22837422297584\n",
      "\n",
      "Predicting for Kosovo\n",
      "2020-11-30: 710.3273769749256\n",
      "2020-12-01: 740.8468017959043\n",
      "2020-12-02: 771.851586752027\n",
      "2020-12-03: 803.3494506801381\n",
      "2020-12-04: 835.3482351722039\n",
      "2020-12-05: 867.8559065275251\n",
      "2020-12-06: 900.8805577359984\n",
      "\n",
      "Predicting for Romania\n",
      "2020-11-30: 7695.243208245228\n",
      "2020-12-01: 7836.935277165291\n",
      "2020-12-02: 7980.880720194574\n",
      "2020-12-03: 8127.115373459366\n",
      "2020-12-04: 8275.675642999291\n",
      "2020-12-05: 8426.598513830815\n",
      "2020-12-06: 8579.921559154905\n",
      "\n",
      "Predicting for Russia\n",
      "2020-11-30: 25856.83709220286\n",
      "2020-12-01: 26287.314122920092\n",
      "2020-12-02: 26724.63716698885\n",
      "2020-12-03: 27163.888790427354\n",
      "2020-12-04: 27610.125972360645\n",
      "2020-12-05: 28063.45980635078\n",
      "2020-12-06: 28524.00315271611\n",
      "\n",
      "Predicting for Rwanda\n",
      "2020-11-30: 56.08563982338443\n",
      "2020-12-01: 76.2451011500727\n",
      "2020-12-02: 96.72516481220289\n",
      "2020-12-03: 112.5046211378804\n",
      "2020-12-04: 128.53502318418185\n",
      "2020-12-05: 144.82036182084315\n",
      "2020-12-06: 161.36469138567296\n",
      "\n",
      "Predicting for Saudi Arabia\n",
      "2020-11-30: 290.614177364842\n",
      "2020-12-01: 314.5480720008249\n",
      "2020-12-02: 338.86259498754447\n",
      "2020-12-03: 353.5111829529834\n",
      "2020-12-04: 368.3927320792659\n",
      "2020-12-05: 383.51094722194455\n",
      "2020-12-06: 398.86959215607004\n",
      "\n",
      "Predicting for Sudan\n",
      "2020-11-30: 215.43733179152824\n",
      "2020-12-01: 238.04370499153\n",
      "2020-12-02: 261.0095945459791\n",
      "2020-12-03: 274.28810133205576\n",
      "2020-12-04: 287.77778044152984\n",
      "2020-12-05: 301.4819902151311\n",
      "2020-12-06: 315.40414240235157\n",
      "\n",
      "Predicting for Senegal\n",
      "2020-11-30: 47.232768047376446\n",
      "2020-12-01: 67.11848237910152\n",
      "2020-12-02: 87.32044556060323\n",
      "2020-12-03: 97.79107037215194\n",
      "2020-12-04: 108.42821286558308\n",
      "2020-12-05: 119.23452122463722\n",
      "2020-12-06: 130.21268574796454\n",
      "\n",
      "Predicting for Singapore\n",
      "2020-11-30: 26.914701676210573\n",
      "2020-12-01: 46.565597015138\n",
      "2020-12-02: 66.52900680259609\n",
      "2020-12-03: 81.7835927424482\n",
      "2020-12-04: 97.28077722197666\n",
      "2020-12-05: 113.0244183630397\n",
      "2020-12-06: 129.01843564443652\n",
      "\n",
      "Predicting for Solomon Islands\n",
      "2020-11-30: 19.367991309777537\n",
      "2020-12-01: 38.810563220488845\n",
      "2020-12-02: 58.56233654588873\n",
      "2020-12-03: 68.57561198864231\n",
      "2020-12-04: 78.74813174057392\n",
      "2020-12-05: 89.08242831466104\n",
      "2020-12-06: 99.58107449924175\n",
      "\n",
      "Predicting for Sierra Leone\n",
      "2020-11-30: 20.09363653731917\n",
      "2020-12-01: 39.59239988100643\n",
      "2020-12-02: 59.40125826964112\n",
      "2020-12-03: 74.49883493054072\n",
      "2020-12-04: 84.81020484957119\n",
      "2020-12-05: 95.28555976919641\n",
      "2020-12-06: 105.92750759511962\n",
      "\n",
      "Predicting for El Salvador\n",
      "2020-11-30: 141.56664762778945\n",
      "2020-12-01: 163.0865374946077\n",
      "2020-12-02: 184.94866502531738\n",
      "2020-12-03: 207.15847293450997\n",
      "2020-12-04: 229.72149049400096\n",
      "2020-12-05: 252.6433349093769\n",
      "2020-12-06: 275.92971271843425\n",
      "\n",
      "Predicting for San Marino\n",
      "2020-11-30: 46.94250995635979\n",
      "2020-12-01: 66.9129107527234\n",
      "2020-12-02: 87.2009071946884\n",
      "2020-12-03: 97.75893348104813\n",
      "2020-12-04: 108.48486742278669\n",
      "2020-12-05: 119.38137930883593\n",
      "2020-12-06: 130.45118189458324\n",
      "\n",
      "Predicting for Somalia\n",
      "2020-11-30: 20.09363653731917\n",
      "2020-12-01: 39.59239988100643\n",
      "2020-12-02: 59.40125826964112\n",
      "2020-12-03: 74.49883493054072\n",
      "2020-12-04: 89.83651316253687\n",
      "2020-12-05: 105.41811137740108\n",
      "2020-12-06: 121.24750871232361\n",
      "\n",
      "Predicting for Serbia\n",
      "2020-11-30: 6999.05917694178\n",
      "2020-12-01: 7129.634958171066\n",
      "2020-12-02: 7262.287327645239\n",
      "2020-12-03: 7392.023001695707\n",
      "2020-12-04: 7523.821903498974\n",
      "2020-12-05: 7657.716845223252\n",
      "2020-12-06: 7793.741160859115\n",
      "\n",
      "Predicting for South Sudan\n",
      "2020-11-30: 28.220863085785524\n",
      "2020-12-01: 47.93718199146002\n",
      "2020-12-02: 67.96705579748837\n",
      "2020-12-03: 88.3154710673364\n",
      "2020-12-04: 108.98749366737728\n",
      "2020-12-05: 129.98827002807087\n",
      "2020-12-06: 151.32302842520005\n",
      "\n",
      "Predicting for Suriname\n",
      "2020-11-30: 21.54492699240245\n",
      "2020-12-01: 41.110425093947015\n",
      "2020-12-02: 60.98707954455214\n",
      "2020-12-03: 81.17983876275837\n",
      "2020-12-04: 101.69372986338264\n",
      "2020-12-05: 122.53385990905029\n",
      "2020-12-06: 143.70541718163048\n",
      "\n",
      "Predicting for Slovak Republic\n",
      "2020-11-30: 1396.7877622293154\n",
      "2020-12-01: 1438.2688365004055\n",
      "2020-12-02: 1480.409597509769\n",
      "2020-12-03: 1523.2205364657534\n",
      "2020-12-04: 1566.7123114217343\n",
      "2020-12-05: 1610.895749929506\n",
      "2020-12-06: 1655.7818517348678\n",
      "\n",
      "Predicting for Slovenia\n",
      "2020-11-30: 1481.107737669654\n",
      "2020-12-01: 1523.9744306367616\n",
      "2020-12-02: 1567.5228462776654\n",
      "2020-12-03: 1601.711209619284\n",
      "2020-12-04: 1636.4432813941116\n",
      "2020-12-05: 1671.7277083705635\n",
      "2020-12-06: 1707.573274829369\n",
      "\n",
      "Predicting for Sweden\n",
      "2020-11-30: 5074.648033501356\n",
      "2020-12-01: 5174.574640013616\n",
      "2020-12-02: 5276.090411181689\n",
      "2020-12-03: 5374.194311684373\n",
      "2020-12-04: 5473.858389768563\n",
      "2020-12-05: 5575.107457435344\n",
      "2020-12-06: 5677.966721278961\n",
      "\n",
      "Predicting for Eswatini\n",
      "2020-11-30: 46.94250995635979\n",
      "2020-12-01: 66.9129107527234\n",
      "2020-12-02: 87.2009071946884\n",
      "2020-12-03: 97.75893348104813\n",
      "2020-12-04: 108.48486742278669\n",
      "2020-12-05: 119.38137930883593\n",
      "2020-12-06: 130.45118189458324\n",
      "\n",
      "Predicting for Seychelles\n",
      "2020-11-30: 20.674152719352485\n",
      "2020-12-01: 40.18214819681086\n",
      "2020-12-02: 60.00038554078101\n",
      "2020-12-03: 70.08118200056484\n",
      "2020-12-04: 80.32229657776993\n",
      "2020-12-05: 90.7262788624883\n",
      "2020-12-06: 101.2957189917554\n",
      "\n",
      "Predicting for Syria\n",
      "2020-11-30: 102.23667629503264\n",
      "2020-12-01: 123.08643783309545\n",
      "2020-12-02: 144.26777977076253\n",
      "2020-12-03: 160.75966702379083\n",
      "2020-12-04: 177.5138300134315\n",
      "2020-12-05: 194.53443979427396\n",
      "2020-12-06: 211.82573375451761\n",
      "\n",
      "Predicting for Chad\n",
      "2020-11-30: 25.028024084602315\n",
      "2020-12-01: 44.648914988773605\n",
      "2020-12-02: 64.58184317139145\n",
      "2020-12-03: 84.83177106069706\n",
      "2020-12-04: 105.40374000400878\n",
      "2020-12-05: 126.30287152279732\n",
      "2020-12-06: 147.53436858772085\n",
      "\n",
      "Predicting for Togo\n",
      "2020-11-30: 36.493218679760204\n",
      "2020-12-01: 56.2527898024816\n",
      "2020-12-02: 76.3266036793429\n",
      "2020-12-03: 86.66704118703646\n",
      "2020-12-04: 97.171925966447\n",
      "2020-12-05: 107.8438732749227\n",
      "2020-12-06: 118.6855399610824\n",
      "\n",
      "Predicting for Thailand\n",
      "2020-11-30: 30.542927813918766\n",
      "2020-12-01: 50.207869565486185\n",
      "2020-12-02: 70.18554915015908\n",
      "2020-12-03: 85.45463182435687\n",
      "2020-12-04: 100.96654358441535\n",
      "2020-12-05: 116.72514621864218\n",
      "2020-12-06: 132.73436293059467\n",
      "\n",
      "Predicting for Tajikistan\n",
      "2020-11-30: 57.101543141942734\n",
      "2020-12-01: 77.18785817120636\n",
      "2020-12-02: 97.5936122670426\n",
      "2020-12-03: 108.27126894475579\n",
      "2020-12-04: 119.11873579807074\n",
      "2020-12-05: 130.1387133723045\n",
      "2020-12-06: 141.33394516040653\n",
      "\n",
      "Predicting for Turkmenistan\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.75143183072929\n",
      "2020-12-02: 58.590570459992584\n",
      "2020-12-03: 68.69260060486786\n",
      "2020-12-04: 78.95528655322258\n",
      "2020-12-05: 89.3811832654777\n",
      "2020-12-06: 99.97288633440368\n",
      "\n",
      "Predicting for Timor-Leste\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.66412298387027\n",
      "2020-12-02: 58.41456426586999\n",
      "2020-12-03: 78.47910310724424\n",
      "2020-12-04: 98.86273470153812\n",
      "2020-12-05: 119.57053368245096\n",
      "2020-12-06: 140.60765538719835\n",
      "\n",
      "Predicting for Tonga\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.70777740729979\n",
      "2020-12-02: 58.5025673629313\n",
      "2020-12-03: 78.61216016902173\n",
      "2020-12-04: 99.04156223558499\n",
      "2020-12-05: 119.79585959116827\n",
      "2020-12-06: 140.88021914905096\n",
      "\n",
      "Predicting for Trinidad and Tobago\n",
      "2020-11-30: 49.699961821018015\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-12-01: 69.80252094198602\n",
      "2020-12-02: 90.2247774644917\n",
      "2020-12-03: 100.91919901222262\n",
      "2020-12-04: 111.7836973526238\n",
      "2020-12-05: 122.82097727110843\n",
      "2020-12-06: 134.0337865681538\n",
      "\n",
      "Predicting for Tunisia\n",
      "2020-11-30: 1113.4958653970598\n",
      "2020-12-01: 1150.4716583878435\n",
      "2020-12-02: 1188.0354891935049\n",
      "2020-12-03: 1226.1967095667387\n",
      "2020-12-04: 1264.9648199841413\n",
      "2020-12-05: 1304.349472011415\n",
      "2020-12-06: 1344.3604707061859\n",
      "\n",
      "Predicting for Turkey\n",
      "2020-11-30: 23356.844154276405\n",
      "2020-12-01: 23747.607652174076\n",
      "2020-12-02: 24144.585586459765\n",
      "2020-12-03: 24542.85047898205\n",
      "2020-12-04: 24947.449104960702\n",
      "2020-12-05: 25358.48219177654\n",
      "2020-12-06: 25776.05206871001\n",
      "\n",
      "Predicting for Taiwan\n",
      "2020-11-30: 24.157249811552347\n",
      "2020-12-01: 43.67698366820793\n",
      "2020-12-02: 63.462494804796975\n",
      "2020-12-03: 73.51004460189851\n",
      "2020-12-04: 83.71738378415367\n",
      "2020-12-05: 94.08705353305679\n",
      "2020-12-06: 104.62163544332101\n",
      "\n",
      "Predicting for Tanzania\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.66412298387027\n",
      "2020-12-02: 58.41456426586999\n",
      "2020-12-03: 68.42648648131288\n",
      "2020-12-04: 78.59763148512882\n",
      "2020-12-05: 88.93053144804304\n",
      "2020-12-06: 99.42775881069848\n",
      "\n",
      "Predicting for Uganda\n",
      "2020-11-30: 335.16879433589855\n",
      "2020-12-01: 359.72294954962337\n",
      "2020-12-02: 384.66759731564184\n",
      "2020-12-03: 410.00894776140774\n",
      "2020-12-04: 435.75330977601\n",
      "2020-12-05: 461.9070925808105\n",
      "2020-12-06: 488.4768073250602\n",
      "\n",
      "Predicting for Ukraine\n",
      "2020-11-30: 14516.163218091122\n",
      "2020-12-01: 14766.286896364976\n",
      "2020-12-02: 15020.388371173392\n",
      "2020-12-03: 15273.504594368853\n",
      "2020-12-04: 15530.646205494062\n",
      "2020-12-05: 15791.877221575589\n",
      "2020-12-06: 16057.262677723167\n",
      "\n",
      "Predicting for Uruguay\n",
      "2020-11-30: 166.81910154623847\n",
      "2020-12-01: 188.69494112400588\n",
      "2020-12-02: 210.91867914730867\n",
      "2020-12-03: 223.44323173002073\n",
      "2020-12-04: 236.16696626225576\n",
      "2020-12-05: 249.09305039800807\n",
      "2020-12-06: 262.2247021674826\n",
      "\n",
      "Predicting for United States\n",
      "2020-11-30: 165315.8359215657\n",
      "2020-12-01: 167964.21848775278\n",
      "2020-12-02: 170654.71912555414\n",
      "2020-12-03: 173388.00765207977\n",
      "2020-12-04: 176164.76453675446\n",
      "2020-12-05: 178985.68107072506\n",
      "2020-12-06: 181851.45953896176\n",
      "\n",
      "Predicting for United States / Alaska\n",
      "2020-11-30: 642.1167255860116\n",
      "2020-12-01: 671.5970227969783\n",
      "2020-12-02: 701.5898089891136\n",
      "2020-12-03: 727.0332717015476\n",
      "2020-12-04: 752.8813699067235\n",
      "2020-12-05: 779.1405386517823\n",
      "2020-12-06: 805.8173153224698\n",
      "\n",
      "Predicting for United States / Alabama\n",
      "2020-11-30: 2155.9577992833774\n",
      "2020-12-01: 2209.4685420702203\n",
      "2020-12-02: 2263.8302832458935\n",
      "2020-12-03: 2314.030248195901\n",
      "2020-12-04: 2365.028559180124\n",
      "2020-12-05: 2416.8379125498636\n",
      "2020-12-06: 2469.4712065705417\n",
      "\n",
      "Predicting for United States / Arkansas\n",
      "2020-11-30: 1626.38191222349\n",
      "2020-12-01: 1671.4706409776286\n",
      "2020-12-02: 1717.276430148533\n",
      "2020-12-03: 1758.784375063471\n",
      "2020-12-04: 1800.9524340490912\n",
      "2020-12-05: 1843.7911051097444\n",
      "2020-12-06: 1887.3110532028895\n",
      "\n",
      "Predicting for United States / Arizona\n",
      "2020-11-30: 3840.470630498537\n",
      "2020-12-01: 3920.8153687214904\n",
      "2020-12-02: 4002.437854910886\n",
      "2020-12-03: 4080.3321011867056\n",
      "2020-12-04: 4159.4651244749075\n",
      "2020-12-05: 4239.8566254409425\n",
      "2020-12-06: 4321.526618056219\n",
      "\n",
      "Predicting for United States / California\n",
      "2020-11-30: 14667.242554465292\n",
      "2020-12-01: 14919.81254997651\n",
      "2020-12-02: 15176.39924658461\n",
      "2020-12-03: 15437.066523166688\n",
      "2020-12-04: 15701.879274485975\n",
      "2020-12-05: 15970.90342734779\n",
      "2020-12-06: 16244.205957012442\n",
      "\n",
      "Predicting for United States / Colorado\n",
      "2020-11-30: 4398.056423341532\n",
      "2020-12-01: 4487.223974785884\n",
      "2020-12-02: 4577.809586205918\n",
      "2020-12-03: 4664.809501148197\n",
      "2020-12-04: 4753.193003452348\n",
      "2020-12-05: 4842.98209674894\n",
      "2020-12-06: 4934.199134599288\n",
      "\n",
      "Predicting for United States / Connecticut\n",
      "2020-11-30: 1631.8968159528063\n",
      "2020-12-01: 1677.0732499777705\n",
      "2020-12-02: 1722.9681392243615\n",
      "2020-12-03: 1764.5666012018733\n",
      "2020-12-04: 1806.8266167717484\n",
      "2020-12-05: 1849.7587068315097\n",
      "2020-12-06: 1893.3735595958647\n",
      "\n",
      "Predicting for United States / Washington DC\n",
      "2020-11-30: 207.4552342885702\n",
      "2020-12-01: 229.97732323031602\n",
      "2020-12-02: 252.85758812710066\n",
      "2020-12-03: 271.0754168522713\n",
      "2020-12-04: 289.5829695110988\n",
      "2020-12-05: 308.384853675594\n",
      "2020-12-06: 327.4857501934533\n",
      "\n",
      "Predicting for United States / Delaware\n",
      "2020-11-30: 518.9021659494414\n",
      "2020-12-01: 546.3336402359637\n",
      "2020-12-02: 574.2013659965882\n",
      "2020-12-03: 597.4859727645132\n",
      "2020-12-04: 621.1408820513733\n",
      "2020-12-05: 645.1719828960898\n",
      "2020-12-06: 669.5852579928463\n",
      "\n",
      "Predicting for United States / Florida\n",
      "2020-11-30: 7891.8930649090125\n",
      "2020-12-01: 8036.624213454851\n",
      "2020-12-02: 8183.657067561322\n",
      "2020-12-03: 8333.028231985185\n",
      "2020-12-04: 8484.774893620304\n",
      "2020-12-05: 8638.934830755565\n",
      "2020-12-06: 8795.546422480013\n",
      "\n",
      "Predicting for United States / Georgia\n",
      "2020-11-30: 2977.5333259060208\n",
      "2020-12-01: 3044.1535004358716\n",
      "2020-12-02: 3111.83315682368\n",
      "2020-12-03: 3180.589144346939\n",
      "2020-12-04: 3250.438580242571\n",
      "2020-12-05: 3321.398853968368\n",
      "2020-12-06: 3393.48763153221\n",
      "\n",
      "Predicting for United States / Hawaii\n",
      "2020-11-30: 114.28238707222384\n",
      "2020-12-01: 135.36736980946688\n",
      "2020-12-02: 156.78767374397646\n",
      "2020-12-03: 178.548631595572\n",
      "2020-12-04: 200.65566089201508\n",
      "2020-12-05: 223.11426531773702\n",
      "2020-12-06: 245.93003608401594\n",
      "\n",
      "Predicting for United States / Iowa\n",
      "2020-11-30: 2490.189991089056\n",
      "2020-12-01: 2549.0161348946217\n",
      "2020-12-02: 2608.777809604683\n",
      "2020-12-03: 2664.46358495227\n",
      "2020-12-04: 2721.0349489243754\n",
      "2020-12-05: 2778.505985319006\n",
      "2020-12-06: 2836.891001913296\n",
      "\n",
      "Predicting for United States / Idaho\n",
      "2020-11-30: 1300.8574631483111\n",
      "2020-12-01: 1340.8129273137238\n",
      "2020-12-02: 1381.4038159539036\n",
      "2020-12-03: 1417.6139261137268\n",
      "2020-12-04: 1454.3998971904525\n",
      "2020-12-05: 1491.7708872836874\n",
      "2020-12-06: 1529.736200137214\n",
      "\n",
      "Predicting for United States / Illinois\n",
      "2020-11-30: 9280.778030423711\n",
      "2020-12-01: 9447.597059016956\n",
      "2020-12-02: 9617.069063763505\n",
      "2020-12-03: 9789.236235788252\n",
      "2020-12-04: 9964.141437194989\n",
      "2020-12-05: 10141.828211737198\n",
      "2020-12-06: 10322.340795658549\n",
      "\n",
      "Predicting for United States / Indiana\n",
      "2020-11-30: 5527.595784532846\n",
      "2020-12-01: 5634.771411528117\n",
      "2020-12-02: 5743.651486661179\n",
      "2020-12-03: 5849.236808000766\n",
      "2020-12-04: 5956.501286340697\n",
      "2020-12-05: 6065.471625849657\n",
      "2020-12-06: 6176.174955381234\n",
      "\n",
      "Predicting for United States / Kansas\n",
      "2020-11-30: 2691.7742353001236\n",
      "2020-12-01: 2753.8498919811404\n",
      "2020-12-02: 2816.912757605071\n",
      "2020-12-03: 2875.952223757252\n",
      "2020-12-04: 2935.9306133471623\n",
      "2020-12-05: 2996.862858373335\n",
      "2020-12-06: 3058.7641283026305\n",
      "\n",
      "Predicting for United States / Kentucky\n",
      "2020-11-30: 2751.2771439585376\n",
      "2020-12-01: 2814.2554399276646\n",
      "2020-12-02: 2878.235299799847\n",
      "2020-12-03: 2938.206343451926\n",
      "2020-12-04: 2999.131125715477\n",
      "2020-12-05: 3061.0248141994603\n",
      "2020-12-06: 3123.902817728152\n",
      "\n",
      "Predicting for United States / Louisiana\n",
      "2020-11-30: 1768.4632477761425\n",
      "2020-12-01: 1815.7668900050007\n",
      "2020-12-02: 1863.8228171251922\n",
      "2020-12-03: 1907.6166846500246\n",
      "2020-12-04: 1952.1070200010045\n",
      "2020-12-05: 1997.3048993278362\n",
      "2020-12-06: 2043.2215749277616\n",
      "\n",
      "Predicting for United States / Massachusetts\n",
      "2020-11-30: 2648.090392602117\n",
      "2020-12-01: 2709.427676793427\n",
      "2020-12-02: 2771.6957760889704\n",
      "2020-12-03: 2829.9278364906645\n",
      "2020-12-04: 2889.085979899233\n",
      "2020-12-05: 2949.1849341077445\n",
      "2020-12-06: 3010.2396611300546\n",
      "\n",
      "Predicting for United States / Maryland\n",
      "2020-11-30: 2095.7292453974214\n",
      "2020-12-01: 2148.3258087289405\n",
      "2020-12-02: 2201.7588319621923\n",
      "2020-12-03: 2251.0153092724895\n",
      "2020-12-04: 2301.0551280325117\n",
      "2020-12-05: 2351.890745970874\n",
      "2020-12-06: 2403.5348189354177\n",
      "\n",
      "Predicting for United States / Maine\n",
      "2020-11-30: 185.9761355533377\n",
      "2020-12-01: 208.1129811221226\n",
      "2020-12-02: 230.6018759978636\n",
      "2020-12-03: 248.42211061987183\n",
      "2020-12-04: 266.5257461098573\n",
      "2020-12-05: 284.91728948210334\n",
      "2020-12-06: 303.60131942737684\n",
      "\n",
      "Predicting for United States / Michigan\n",
      "2020-11-30: 7149.557997133916\n",
      "2020-12-01: 7282.527209043365\n",
      "2020-12-02: 7417.611072688254\n",
      "2020-12-03: 7549.816909735809\n",
      "2020-12-04: 7684.125258325195\n",
      "2020-12-05: 7820.569555367238\n",
      "2020-12-06: 7959.183769530602\n",
      "\n",
      "Predicting for United States / Minnesota\n",
      "2020-11-30: 6232.487558566793\n",
      "2020-12-01: 6350.916958417077\n",
      "2020-12-02: 6471.229778739847\n",
      "2020-12-03: 6588.429663857891\n",
      "2020-12-04: 6707.493416083962\n",
      "2020-12-05: 6828.450677090431\n",
      "2020-12-06: 6951.331559950624\n",
      "\n",
      "Predicting for United States / Missouri\n",
      "2020-11-30: 3690.552326488434\n",
      "2020-12-01: 3768.467218056901\n",
      "2020-12-02: 3847.621214966416\n",
      "2020-12-03: 3928.0340231039454\n",
      "2020-12-04: 4009.7256617454527\n",
      "2020-12-05: 4092.716468539825\n",
      "2020-12-06: 4177.027104572057\n",
      "\n",
      "Predicting for United States / Mississippi\n",
      "2020-11-30: 1268.0582988634287\n",
      "2020-12-01: 1307.4484930473436\n",
      "2020-12-02: 1347.4651220374385\n",
      "2020-12-03: 1383.0918399130264\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-12-04: 1419.2851408321762\n",
      "2020-12-05: 1456.0540353455194\n",
      "2020-12-06: 1493.4076773013444\n",
      "\n",
      "Predicting for United States / Montana\n",
      "2020-11-30: 907.557749820743\n",
      "2020-12-01: 941.2147889327922\n",
      "2020-12-02: 975.3624353938073\n",
      "2020-12-03: 1005.0268344415422\n",
      "2020-12-04: 1035.1629958771737\n",
      "2020-12-05: 1065.77842228824\n",
      "2020-12-06: 1096.8807355783197\n",
      "\n",
      "Predicting for United States / North Carolina\n",
      "2020-11-30: 3647.884387108986\n",
      "2020-12-01: 3725.121713687608\n",
      "2020-12-02: 3803.587370075401\n",
      "2020-12-03: 3878.2745824796484\n",
      "2020-12-04: 3954.1495694149917\n",
      "2020-12-05: 4031.231220438174\n",
      "2020-12-06: 4109.538725512577\n",
      "\n",
      "Predicting for United States / North Dakota\n",
      "2020-11-30: 886.368909176527\n",
      "2020-12-01: 919.6889754059304\n",
      "2020-12-02: 953.5389412629634\n",
      "2020-12-03: 982.9009255972423\n",
      "2020-12-04: 1012.7298629218931\n",
      "2020-12-05: 1043.0331793390733\n",
      "2020-12-06: 1073.8184190506086\n",
      "\n",
      "Predicting for United States / Nebraska\n",
      "2020-11-30: 1819.548671795074\n",
      "2020-12-01: 1867.664741795791\n",
      "2020-12-02: 1916.5460169855028\n",
      "2020-12-03: 1961.1783583531264\n",
      "2020-12-04: 2006.5205020635221\n",
      "2020-12-05: 2052.58373632946\n",
      "2020-12-06: 2104.40583719672\n",
      "\n",
      "Predicting for United States / New Hampshire\n",
      "2020-11-30: 431.82473864444484\n",
      "2020-12-01: 457.91604413106114\n",
      "2020-12-02: 484.42228796043287\n",
      "2020-12-03: 506.3237607162412\n",
      "2020-12-04: 528.5735395701809\n",
      "2020-12-05: 551.1771637450863\n",
      "2020-12-06: 574.1402605558172\n",
      "\n",
      "Predicting for United States / New Jersey\n",
      "2020-11-30: 4098.3649443668355\n",
      "2020-12-01: 4182.766406751846\n",
      "2020-12-02: 4268.5101324799525\n",
      "2020-12-03: 4355.617467992687\n",
      "2020-12-04: 4444.110099210845\n",
      "2020-12-05: 4534.010056933327\n",
      "2020-12-06: 4625.339722321847\n",
      "\n",
      "Predicting for United States / New Mexico\n",
      "2020-11-30: 1981.5126865823677\n",
      "2020-12-01: 2032.2928275944187\n",
      "2020-12-02: 2083.8805413654195\n",
      "2020-12-03: 2131.2623626692493\n",
      "2020-12-04: 2179.397712171146\n",
      "2020-12-05: 2228.298573470086\n",
      "2020-12-06: 2277.977120744038\n",
      "\n",
      "Predicting for United States / Nevada\n",
      "2020-11-30: 2434.0250504773335\n",
      "2020-12-01: 2491.9133340747812\n",
      "2020-12-02: 2550.722233487072\n",
      "2020-12-03: 2605.4400812478134\n",
      "2020-12-04: 2661.028124372318\n",
      "2020-12-05: 2717.500201854664\n",
      "2020-12-06: 2774.8703727748602\n",
      "\n",
      "Predicting for United States / New York\n",
      "2020-11-30: 6590.811171926854\n",
      "2020-12-01: 6714.8944550815995\n",
      "2020-12-02: 6840.951074216114\n",
      "2020-12-03: 6963.98610360814\n",
      "2020-12-04: 7088.977798266417\n",
      "2020-12-05: 7215.9572756619855\n",
      "2020-12-06: 7344.956148136941\n",
      "\n",
      "Predicting for United States / Ohio\n",
      "2020-11-30: 9164.239406880522\n",
      "2020-12-01: 9329.205084619216\n",
      "2020-12-02: 9496.794264082173\n",
      "2020-12-03: 9662.022359340086\n",
      "2020-12-04: 9829.878129631665\n",
      "2020-12-05: 10000.403363710038\n",
      "2020-12-06: 10173.640514908187\n",
      "\n",
      "Predicting for United States / Oklahoma\n",
      "2020-11-30: 3098.135562723441\n",
      "2020-12-01: 3166.630058620812\n",
      "2020-12-02: 3236.213844305929\n",
      "2020-12-03: 3301.8779347883224\n",
      "2020-12-04: 3368.586302219498\n",
      "2020-12-05: 3436.355554068435\n",
      "2020-12-06: 3505.2025619179835\n",
      "\n",
      "Predicting for United States / Oregon\n",
      "2020-11-30: 1317.9826905182936\n",
      "2020-12-01: 1358.2105026299541\n",
      "2020-12-02: 1399.0780704525296\n",
      "2020-12-03: 1435.5692599119247\n",
      "2020-12-04: 1472.6407803818638\n",
      "2020-12-05: 1510.3018610512763\n",
      "2020-12-06: 1548.5618778838243\n",
      "\n",
      "Predicting for United States / Pennsylvania\n",
      "2020-11-30: 6925.33362182355\n",
      "2020-12-01: 7054.693267640474\n",
      "2020-12-02: 7186.110161113413\n",
      "2020-12-03: 7314.590710994226\n",
      "2020-12-04: 7445.114527988339\n",
      "2020-12-05: 7577.714106823554\n",
      "2020-12-06: 7712.422459001681\n",
      "\n",
      "Predicting for United States / Rhode Island\n",
      "2020-11-30: 883.1760701753439\n",
      "2020-12-01: 916.4443628266736\n",
      "2020-12-02: 950.241731733928\n",
      "2020-12-03: 979.5502826523808\n",
      "2020-12-04: 1009.3249367925717\n",
      "2020-12-05: 1039.5731067425172\n",
      "2020-12-06: 1070.302322974982\n",
      "\n",
      "Predicting for United States / South Carolina\n",
      "2020-11-30: 1446.4218957931635\n",
      "2020-12-01: 1488.6486630782551\n",
      "2020-12-02: 1531.5469760951682\n",
      "2020-12-03: 1570.1012063366375\n",
      "2020-12-04: 1609.2685767834064\n",
      "2020-12-05: 1649.058838399481\n",
      "2020-12-06: 1689.481897221554\n",
      "\n",
      "Predicting for United States / South Dakota\n",
      "2020-11-30: 1011.1798883136889\n",
      "2020-12-01: 1046.4848633038832\n",
      "2020-12-02: 1082.3066532922771\n",
      "2020-12-03: 1113.6718203052192\n",
      "2020-12-04: 1145.5357975608022\n",
      "2020-12-05: 1177.9065177972147\n",
      "2020-12-06: 1210.7920399095087\n",
      "\n",
      "Predicting for United States / Tennessee\n",
      "2020-11-30: 3798.6734653921385\n",
      "2020-12-01: 3878.352493141239\n",
      "2020-12-02: 3959.298681851048\n",
      "2020-12-03: 4036.5058752730233\n",
      "2020-12-04: 4114.94091928698\n",
      "2020-12-05: 4194.6233407920245\n",
      "2020-12-06: 4275.57297722976\n",
      "\n",
      "Predicting for United States / Texas\n",
      "2020-11-30: 11219.556949369458\n",
      "2020-12-01: 11417.252651148232\n",
      "2020-12-02: 11618.092370649998\n",
      "2020-12-03: 11817.099799877193\n",
      "2020-12-04: 12019.272107646855\n",
      "2020-12-05: 12224.659626030643\n",
      "2020-12-06: 12433.313487547186\n",
      "\n",
      "Predicting for United States / Utah\n",
      "2020-11-30: 2433.1542762042836\n",
      "2020-12-01: 2491.028711601075\n",
      "2020-12-02: 2549.8235425803628\n",
      "2020-12-03: 2604.5270981733293\n",
      "2020-12-04: 2660.100621837162\n",
      "2020-12-05: 2716.557948951228\n",
      "2020-12-06: 2773.9131349233385\n",
      "\n",
      "Predicting for United States / Virginia\n",
      "2020-11-30: 2652.7345220583834\n",
      "2020-12-01: 2714.1893177432926\n",
      "2020-12-02: 2776.6214486209137\n",
      "2020-12-03: 2835.0201492511887\n",
      "2020-12-04: 2894.3475830209777\n",
      "2020-12-05: 2954.6185198692538\n",
      "2020-12-06: 3015.847964626035\n",
      "\n",
      "Predicting for United States / Virgin Islands\n",
      "2020-11-30: 25.028024084602315\n",
      "2020-12-01: 44.649911831106145\n",
      "2020-12-02: 64.5838527091577\n",
      "2020-12-03: 79.80850108614943\n",
      "2020-12-04: 95.27527189621848\n",
      "2020-12-05: 110.98801568954818\n",
      "2020-12-06: 126.95064425284805\n",
      "\n",
      "Predicting for United States / Vermont\n",
      "2020-11-30: 87.57864269869155\n",
      "2020-12-01: 108.23894728246309\n",
      "2020-12-02: 129.2278192715417\n",
      "2020-12-03: 145.52417566507623\n",
      "2020-12-04: 162.0796982056766\n",
      "2020-12-05: 178.89850849513917\n",
      "2020-12-06: 195.98479368240658\n",
      "\n",
      "Predicting for United States / Washington\n",
      "2020-11-30: 2633.2872299602677\n",
      "2020-12-01: 2694.477400429606\n",
      "2020-12-02: 2756.6406976725543\n",
      "2020-12-03: 2814.7662893212255\n",
      "2020-12-04: 2873.816270770275\n",
      "2020-12-05: 2933.80534288517\n",
      "2020-12-06: 2994.7484403239246\n",
      "\n",
      "Predicting for United States / Wisconsin\n",
      "2020-11-30: 4781.7776196655495\n",
      "2020-12-01: 4877.047611532612\n",
      "2020-12-02: 4973.832712429382\n",
      "2020-12-03: 5067.130709304444\n",
      "2020-12-04: 5161.912453944662\n",
      "2020-12-05: 5258.201542863404\n",
      "2020-12-06: 5356.021947836908\n",
      "\n",
      "Predicting for United States / West Virginia\n",
      "2020-11-30: 965.3191099330575\n",
      "2020-12-01: 999.9384007787627\n",
      "2020-12-02: 1035.1082532350492\n",
      "2020-12-03: 1065.8111147456307\n",
      "2020-12-04: 1097.0022536434662\n",
      "2020-12-05: 1128.68943515939\n",
      "2020-12-06: 1160.880548017176\n",
      "\n",
      "Predicting for United States / Wyoming\n",
      "2020-11-30: 646.1803388602448\n",
      "2020-12-01: 675.6359584760852\n",
      "2020-12-02: 705.5600201940082\n",
      "2020-12-03: 730.9336654850237\n",
      "2020-12-04: 756.7108359400872\n",
      "2020-12-05: 782.8979489484292\n",
      "2020-12-06: 809.5015239570648\n",
      "\n",
      "Predicting for Uzbekistan\n",
      "2020-11-30: 201.0695562862038\n",
      "2020-12-01: 223.4464373330378\n",
      "2020-12-02: 246.17918504750065\n",
      "2020-12-03: 264.24715057760625\n",
      "2020-12-04: 282.60245671923735\n",
      "2020-12-05: 301.24967314167384\n",
      "2020-12-06: 320.19344218710177\n",
      "\n",
      "Predicting for Venezuela\n",
      "2020-11-30: 339.23240761013176\n",
      "2020-12-01: 363.93949344944593\n",
      "2020-12-02: 389.03950394550986\n",
      "2020-12-03: 414.5386879043092\n",
      "2020-12-04: 440.44339350858183\n",
      "2020-12-05: 466.76006989823804\n",
      "2020-12-06: 493.4952687759145\n",
      "\n",
      "Predicting for United States Virgin Islands\n",
      "2020-11-30: 25.028024084602315\n",
      "2020-12-01: 44.649911831106145\n",
      "2020-12-02: 64.5838527091577\n",
      "2020-12-03: 79.80850108614943\n",
      "2020-12-04: 95.27527189621848\n",
      "2020-12-05: 110.98801568954818\n",
      "2020-12-06: 126.95064425284805\n",
      "\n",
      "Predicting for Vietnam\n",
      "2020-11-30: 24.447507902569004\n",
      "2020-12-01: 44.01551224953966\n",
      "2020-12-02: 63.894712803190274\n",
      "2020-12-03: 84.09005861592979\n",
      "2020-12-04: 104.69587997804831\n",
      "2020-12-05: 125.62940228144389\n",
      "2020-12-06: 146.8958370585775\n",
      "\n",
      "Predicting for Vanuatu\n",
      "2020-11-30: 19.222862264269207\n",
      "2020-12-01: 38.61947171810823\n",
      "2020-12-02: 58.32455163104247\n",
      "2020-12-03: 68.29039108111738\n",
      "2020-12-04: 78.41472045066763\n",
      "2020-12-05: 88.70006025537094\n",
      "2020-12-06: 99.14897109546874\n",
      "\n",
      "Predicting for Yemen\n",
      "2020-11-30: 30.542927813918766\n",
      "2020-12-01: 50.11956387629463\n",
      "2020-12-02: 70.00753341827023\n",
      "2020-12-03: 80.15917104941816\n",
      "2020-12-04: 90.47225340770261\n",
      "2020-12-05: 100.94934800004877\n",
      "2020-12-06: 111.5930631652624\n",
      "\n",
      "Predicting for South Africa\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2020-11-30: 2925.1417404775143\n",
      "2020-12-01: 2990.7957579795675\n",
      "2020-12-02: 3057.4938922365877\n",
      "2020-12-03: 3130.279056482907\n",
      "2020-12-04: 3204.221746382553\n",
      "2020-12-05: 3279.3403704347306\n",
      "2020-12-06: 3355.6536298948704\n",
      "\n",
      "Predicting for Zambia\n",
      "2020-11-30: 45.9266066378015\n",
      "2020-12-01: 65.83619993430361\n",
      "2020-12-02: 86.06242183536605\n",
      "2020-12-03: 101.58399947358616\n",
      "2020-12-04: 117.35242170551417\n",
      "2020-12-05: 133.37161417935823\n",
      "2020-12-06: 149.64556497416046\n",
      "\n",
      "Predicting for Zimbabwe\n",
      "2020-11-30: 106.59054766028247\n",
      "2020-12-01: 127.50855335929614\n",
      "2020-12-02: 148.75922476654546\n",
      "2020-12-03: 170.34785237076187\n",
      "2020-12-04: 192.27981079700453\n",
      "2020-12-05: 214.56056014470695\n",
      "2020-12-06: 237.1956473470034\n",
      "Global MAE : 99828.36510811617\n"
     ]
    }
   ],
   "source": [
    "predictions_7d_, MAEs_7d_ = predictor.GetCovidPredictions(period='7d', nb_lookback_days=3, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 7 days : 0.9913112604248177\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 7 days :', predictor.R2_score(np.array(list(predictions_7d_.NewConfirmedCases_7davg)), np.array(list(predictions_7d_.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 30 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0159033439532055\n",
      "Day -3 C6_Stay at home requirements 5.028148304022344\n",
      "Day 0 C1_School closing 0.04462522705599512\n",
      "Day 0 C3_Cancel public events 0.043653274267449596\n",
      "Starting Predicting...\n",
      "Global MAE : 357249.6740882855\n"
     ]
    }
   ],
   "source": [
    "predictions_30d_, MAEs_30d_ = predictor.GetCovidPredictions(period='30d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 30 days : 0.8707413762467805\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 30 days :', predictor.R2_score(np.array(list(predictions_30d_.NewConfirmedCases_7davg)), np.array(list(predictions_30d_.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing different lookback days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.015906082032466\n",
      "Day -3 C6_Stay at home requirements 5.084801930940796\n",
      "Day 0 C1_School closing 0.08174483160985234\n",
      "Day 0 C3_Cancel public events 0.04323463914308022\n",
      "Day -3 residential_percent_change_from_baseline 0.11138900712254196\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0159486249868661\n",
      "Day -5 C6_Stay at home requirements 6.086533704265926\n",
      "Day 0 C1_School closing 0.2093152451349475\n",
      "Day 0 C3_Cancel public events 0.051651705096246565\n",
      "Day -3 residential_percent_change_from_baseline 0.396153609712932\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.016028004021353\n",
      "Day -8 C6_Stay at home requirements 6.97125502321916\n",
      "Day 0 C1_School closing 0.661282666286904\n",
      "Day 0 C3_Cancel public events 0.075507458182544\n",
      "Day -8 residential_percent_change_from_baseline 0.12618790990772158\n",
      "Day -6 residential_percent_change_from_baseline 0.09711666103582978\n",
      "Day -5 residential_percent_change_from_baseline 0.5935094356638562\n",
      "Day -3 residential_percent_change_from_baseline 0.6727209967599209\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0160606189139256\n",
      "Day -10 C6_Stay at home requirements 7.882117606347129\n",
      "Day 0 C1_School closing 0.2629446911412088\n",
      "Day 0 C3_Cancel public events 0.0482361224084127\n",
      "Day 0 C7_Restrictions on internal movement 0.5466326438825406\n",
      "Day 0 H1_Public information campaigns 0.028613601970915406\n",
      "Day -8 residential_percent_change_from_baseline 0.45908079494958426\n",
      "Day -6 residential_percent_change_from_baseline 0.35567698994646413\n",
      "Day -5 residential_percent_change_from_baseline 0.37226439160293756\n",
      "Day -3 residential_percent_change_from_baseline 0.6682401635919826\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0160846085744715\n",
      "Day -15 C6_Stay at home requirements 9.425844717805365\n",
      "Day 0 C3_Cancel public events 0.034999571237646666\n",
      "Day 0 C7_Restrictions on internal movement 0.07084606194509341\n",
      "Day 0 H1_Public information campaigns 0.031597367976500326\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 0.4973529825900535\n",
      "Day -15 parks_percent_change_from_baseline 0.018621463303230234\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 0.28283000600282254\n",
      "Day -8 residential_percent_change_from_baseline 0.44070109850937916\n",
      "Day -6 residential_percent_change_from_baseline 0.23627763982935573\n",
      "Day -5 residential_percent_change_from_baseline 0.48604352366839787\n",
      "Day -3 residential_percent_change_from_baseline 0.7789083450303399\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0160943483803442\n",
      "Day -18 C6_Stay at home requirements 6.544375243023801\n",
      "Day -17 C6_Stay at home requirements 4.196131210241493\n",
      "Day 0 C3_Cancel public events 0.024342715059787134\n",
      "Day 0 C7_Restrictions on internal movement 0.08488259766080782\n",
      "Day 0 H1_Public information campaigns 0.052187920149953215\n",
      "Day -20 retail_and_recreation_percent_change_from_baseline 0.028877802021395296\n",
      "Day -16 retail_and_recreation_percent_change_from_baseline 0.0012234658811018466\n",
      "Day -16 parks_percent_change_from_baseline 0.010671507653595327\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 0.4219455144384068\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 0.29811748371728597\n",
      "Day -8 residential_percent_change_from_baseline 0.5186856259568912\n",
      "Day -6 residential_percent_change_from_baseline 0.2271906080846261\n",
      "Day -5 residential_percent_change_from_baseline 0.44135657815112217\n",
      "Day -3 residential_percent_change_from_baseline 0.7209389215952049\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -1 NewConfirmedCases_7davg 1.0160638932615784\n",
      "Day -22 C6_Stay at home requirements 5.575088971474014\n",
      "Day -18 C6_Stay at home requirements 0.5044242669953015\n",
      "Day -17 C6_Stay at home requirements 4.452856644813036\n",
      "Day 0 C3_Cancel public events 0.1430127170690875\n",
      "Day 0 H1_Public information campaigns 0.05331664466345405\n",
      "Day -21 workplaces_percent_change_from_baseline 0.009897767006530379\n",
      "Day -19 workplaces_percent_change_from_baseline 0.13793715337744286\n",
      "Day -18 workplaces_percent_change_from_baseline 0.04368009637993738\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 0.3610092928274562\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 0.27447151205796827\n",
      "Day -8 residential_percent_change_from_baseline 0.42625386601816345\n",
      "Day -6 residential_percent_change_from_baseline 0.17289765647471217\n",
      "Day -5 residential_percent_change_from_baseline 0.6892637137910277\n",
      "Day -3 residential_percent_change_from_baseline 0.590316585260582\n",
      "Starting Predicting...\n"
     ]
    }
   ],
   "source": [
    "global_MAEs_ = predictor.GetCovidPredictions(period='30d', verbose=False, test_several_lookbacks=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# RIDGE Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 4 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -3 NewConfirmedCases_7davg -0.48440136335661077\n",
      "Day -2 NewConfirmedCases_7davg -0.14435075310362994\n",
      "Day -1 NewConfirmedCases_7davg 1.6330700069198327\n",
      "Day -3 C1_School closing 7.45031664542497\n",
      "Day -3 C2_Workplace closing 4.900571994435118\n",
      "Day -3 C3_Cancel public events 2.425501594751264\n",
      "Day -3 C4_Restrictions on gatherings -0.5895817749369617\n",
      "Day -3 C5_Close public transport -0.2787387397558647\n",
      "Day -3 C6_Stay at home requirements 6.253969940926043\n",
      "Day -3 C7_Restrictions on internal movement 13.44707789118386\n",
      "Day -3 C8_International travel controls -0.6104956517992867\n",
      "Day -3 H1_Public information campaigns 0.37706506488161423\n",
      "Day -3 H2_Testing policy -0.5613355319967948\n",
      "Day -3 H3_Contact tracing -0.4284190351130886\n",
      "Day -3 H6_Facial Coverings -1.9408777888236939\n",
      "Day -2 C1_School closing -0.3018742798941079\n",
      "Day -2 C2_Workplace closing -1.3924765213005128\n",
      "Day -2 C3_Cancel public events -11.715061100287283\n",
      "Day -2 C4_Restrictions on gatherings 6.006378326377071\n",
      "Day -2 C5_Close public transport -5.549123404116901\n",
      "Day -2 C6_Stay at home requirements 6.9299026065383185\n",
      "Day -2 C7_Restrictions on internal movement -14.044166309916363\n",
      "Day -2 C8_International travel controls 1.1984283244302039\n",
      "Day -2 H1_Public information campaigns 0.31913005754489776\n",
      "Day -2 H2_Testing policy -5.830394560293043\n",
      "Day -2 H3_Contact tracing 5.812636088093391\n",
      "Day -2 H6_Facial Coverings 2.003246909086467\n",
      "Day -1 C1_School closing -9.895836397946336\n",
      "Day -1 C2_Workplace closing -2.2278285605777333\n",
      "Day -1 C3_Cancel public events 8.765414561798737\n",
      "Day -1 C4_Restrictions on gatherings -5.503457018474014\n",
      "Day -1 C5_Close public transport 3.3525464806910406\n",
      "Day -1 C6_Stay at home requirements -8.769188233961337\n",
      "Day -1 C7_Restrictions on internal movement 0.16231656334117817\n",
      "Day -1 C8_International travel controls 0.5732805892255953\n",
      "Day -1 H1_Public information campaigns -0.6368720059552161\n",
      "Day -1 H2_Testing policy 1.1112625085507526\n",
      "Day -1 H3_Contact tracing -2.9236908401768162\n",
      "Day -1 H6_Facial Coverings -1.3443466360964627\n",
      "Day 0 C1_School closing 0.6601923481666941\n",
      "Day 0 C2_Workplace closing -0.22688887264969584\n",
      "Day 0 C3_Cancel public events 0.05736806199918019\n",
      "Day 0 C4_Restrictions on gatherings -0.6168425129011906\n",
      "Day 0 C5_Close public transport -0.45328244570552406\n",
      "Day 0 C6_Stay at home requirements -1.5906414219817748\n",
      "Day 0 C7_Restrictions on internal movement 0.029110553987900807\n",
      "Day 0 C8_International travel controls -0.2874638455418905\n",
      "Day 0 H1_Public information campaigns 0.047363492574825125\n",
      "Day 0 H2_Testing policy 0.10434545534146121\n",
      "Day 0 H3_Contact tracing 0.06628469231474313\n",
      "Day 0 H6_Facial Coverings -0.832739264072162\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -0.6955375307234488\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.25318751431646347\n",
      "Day -3 parks_percent_change_from_baseline -0.11529077548666664\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.31939705448789973\n",
      "Day -3 workplaces_percent_change_from_baseline 0.2674181223833539\n",
      "Day -3 residential_percent_change_from_baseline 1.05842577695894\n",
      "Starting Predicting...\n",
      "Global MAE : 185084.35684656067\n"
     ]
    }
   ],
   "source": [
    "predictions_4d_ridge, MAEs_4d_ridge = predictor_ridge.GetCovidPredictions(period='4d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 4 days : 0.9850982120922136\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 4 days :', predictor_ridge.R2_score(np.array(list(predictions_4d_ridge.NewConfirmedCases_7davg)), np.array(list(predictions_4d_ridge.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 7 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -3 NewConfirmedCases_7davg -0.48440136335661077\n",
      "Day -2 NewConfirmedCases_7davg -0.14435075310362994\n",
      "Day -1 NewConfirmedCases_7davg 1.6330700069198327\n",
      "Day -3 C1_School closing 7.45031664542497\n",
      "Day -3 C2_Workplace closing 4.900571994435118\n",
      "Day -3 C3_Cancel public events 2.425501594751264\n",
      "Day -3 C4_Restrictions on gatherings -0.5895817749369617\n",
      "Day -3 C5_Close public transport -0.2787387397558647\n",
      "Day -3 C6_Stay at home requirements 6.253969940926043\n",
      "Day -3 C7_Restrictions on internal movement 13.44707789118386\n",
      "Day -3 C8_International travel controls -0.6104956517992867\n",
      "Day -3 H1_Public information campaigns 0.37706506488161423\n",
      "Day -3 H2_Testing policy -0.5613355319967948\n",
      "Day -3 H3_Contact tracing -0.4284190351130886\n",
      "Day -3 H6_Facial Coverings -1.9408777888236939\n",
      "Day -2 C1_School closing -0.3018742798941079\n",
      "Day -2 C2_Workplace closing -1.3924765213005128\n",
      "Day -2 C3_Cancel public events -11.715061100287283\n",
      "Day -2 C4_Restrictions on gatherings 6.006378326377071\n",
      "Day -2 C5_Close public transport -5.549123404116901\n",
      "Day -2 C6_Stay at home requirements 6.9299026065383185\n",
      "Day -2 C7_Restrictions on internal movement -14.044166309916363\n",
      "Day -2 C8_International travel controls 1.1984283244302039\n",
      "Day -2 H1_Public information campaigns 0.31913005754489776\n",
      "Day -2 H2_Testing policy -5.830394560293043\n",
      "Day -2 H3_Contact tracing 5.812636088093391\n",
      "Day -2 H6_Facial Coverings 2.003246909086467\n",
      "Day -1 C1_School closing -9.895836397946336\n",
      "Day -1 C2_Workplace closing -2.2278285605777333\n",
      "Day -1 C3_Cancel public events 8.765414561798737\n",
      "Day -1 C4_Restrictions on gatherings -5.503457018474014\n",
      "Day -1 C5_Close public transport 3.3525464806910406\n",
      "Day -1 C6_Stay at home requirements -8.769188233961337\n",
      "Day -1 C7_Restrictions on internal movement 0.16231656334117817\n",
      "Day -1 C8_International travel controls 0.5732805892255953\n",
      "Day -1 H1_Public information campaigns -0.6368720059552161\n",
      "Day -1 H2_Testing policy 1.1112625085507526\n",
      "Day -1 H3_Contact tracing -2.9236908401768162\n",
      "Day -1 H6_Facial Coverings -1.3443466360964627\n",
      "Day 0 C1_School closing 0.6601923481666941\n",
      "Day 0 C2_Workplace closing -0.22688887264969584\n",
      "Day 0 C3_Cancel public events 0.05736806199918019\n",
      "Day 0 C4_Restrictions on gatherings -0.6168425129011906\n",
      "Day 0 C5_Close public transport -0.45328244570552406\n",
      "Day 0 C6_Stay at home requirements -1.5906414219817748\n",
      "Day 0 C7_Restrictions on internal movement 0.029110553987900807\n",
      "Day 0 C8_International travel controls -0.2874638455418905\n",
      "Day 0 H1_Public information campaigns 0.047363492574825125\n",
      "Day 0 H2_Testing policy 0.10434545534146121\n",
      "Day 0 H3_Contact tracing 0.06628469231474313\n",
      "Day 0 H6_Facial Coverings -0.832739264072162\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -0.6955375307234488\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.25318751431646347\n",
      "Day -3 parks_percent_change_from_baseline -0.11529077548666664\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.31939705448789973\n",
      "Day -3 workplaces_percent_change_from_baseline 0.2674181223833539\n",
      "Day -3 residential_percent_change_from_baseline 1.05842577695894\n",
      "Starting Predicting...\n",
      "Global MAE : 289563.7272349941\n"
     ]
    }
   ],
   "source": [
    "predictions_7d_ridge, MAEs_7d_ridge = predictor_ridge.GetCovidPredictions(period='7d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 7 days : 0.9569697497366446\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 7 days :', predictor_ridge.R2_score(np.array(list(predictions_7d_ridge.NewConfirmedCases_7davg)), np.array(list(predictions_7d_ridge.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions on 30 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -3 NewConfirmedCases_7davg -0.48440136335661077\n",
      "Day -2 NewConfirmedCases_7davg -0.14435075310362994\n",
      "Day -1 NewConfirmedCases_7davg 1.6330700069198327\n",
      "Day -3 C1_School closing 7.45031664542497\n",
      "Day -3 C2_Workplace closing 4.900571994435118\n",
      "Day -3 C3_Cancel public events 2.425501594751264\n",
      "Day -3 C4_Restrictions on gatherings -0.5895817749369617\n",
      "Day -3 C5_Close public transport -0.2787387397558647\n",
      "Day -3 C6_Stay at home requirements 6.253969940926043\n",
      "Day -3 C7_Restrictions on internal movement 13.44707789118386\n",
      "Day -3 C8_International travel controls -0.6104956517992867\n",
      "Day -3 H1_Public information campaigns 0.37706506488161423\n",
      "Day -3 H2_Testing policy -0.5613355319967948\n",
      "Day -3 H3_Contact tracing -0.4284190351130886\n",
      "Day -3 H6_Facial Coverings -1.9408777888236939\n",
      "Day -2 C1_School closing -0.3018742798941079\n",
      "Day -2 C2_Workplace closing -1.3924765213005128\n",
      "Day -2 C3_Cancel public events -11.715061100287283\n",
      "Day -2 C4_Restrictions on gatherings 6.006378326377071\n",
      "Day -2 C5_Close public transport -5.549123404116901\n",
      "Day -2 C6_Stay at home requirements 6.9299026065383185\n",
      "Day -2 C7_Restrictions on internal movement -14.044166309916363\n",
      "Day -2 C8_International travel controls 1.1984283244302039\n",
      "Day -2 H1_Public information campaigns 0.31913005754489776\n",
      "Day -2 H2_Testing policy -5.830394560293043\n",
      "Day -2 H3_Contact tracing 5.812636088093391\n",
      "Day -2 H6_Facial Coverings 2.003246909086467\n",
      "Day -1 C1_School closing -9.895836397946336\n",
      "Day -1 C2_Workplace closing -2.2278285605777333\n",
      "Day -1 C3_Cancel public events 8.765414561798737\n",
      "Day -1 C4_Restrictions on gatherings -5.503457018474014\n",
      "Day -1 C5_Close public transport 3.3525464806910406\n",
      "Day -1 C6_Stay at home requirements -8.769188233961337\n",
      "Day -1 C7_Restrictions on internal movement 0.16231656334117817\n",
      "Day -1 C8_International travel controls 0.5732805892255953\n",
      "Day -1 H1_Public information campaigns -0.6368720059552161\n",
      "Day -1 H2_Testing policy 1.1112625085507526\n",
      "Day -1 H3_Contact tracing -2.9236908401768162\n",
      "Day -1 H6_Facial Coverings -1.3443466360964627\n",
      "Day 0 C1_School closing 0.6601923481666941\n",
      "Day 0 C2_Workplace closing -0.22688887264969584\n",
      "Day 0 C3_Cancel public events 0.05736806199918019\n",
      "Day 0 C4_Restrictions on gatherings -0.6168425129011906\n",
      "Day 0 C5_Close public transport -0.45328244570552406\n",
      "Day 0 C6_Stay at home requirements -1.5906414219817748\n",
      "Day 0 C7_Restrictions on internal movement 0.029110553987900807\n",
      "Day 0 C8_International travel controls -0.2874638455418905\n",
      "Day 0 H1_Public information campaigns 0.047363492574825125\n",
      "Day 0 H2_Testing policy 0.10434545534146121\n",
      "Day 0 H3_Contact tracing 0.06628469231474313\n",
      "Day 0 H6_Facial Coverings -0.832739264072162\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -0.6955375307234488\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.25318751431646347\n",
      "Day -3 parks_percent_change_from_baseline -0.11529077548666664\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.31939705448789973\n",
      "Day -3 workplaces_percent_change_from_baseline 0.2674181223833539\n",
      "Day -3 residential_percent_change_from_baseline 1.05842577695894\n",
      "Starting Predicting...\n",
      "Global MAE : 5311201.242416843\n"
     ]
    }
   ],
   "source": [
    "predictions_30d_ridge, MAEs_30d_ridge = predictor_ridge.GetCovidPredictions(period='30d', nb_lookback_days=3, verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2 score for predictions on 30 days : -13.585976031765801\n"
     ]
    }
   ],
   "source": [
    "print('R2 score for predictions on 30 days :', predictor_ridge.R2_score(np.array(list(predictions_30d_ridge.NewConfirmedCases_7davg)), np.array(list(predictions_30d_ridge.PredictedDailyNewCases))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing different lookback days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Preprocessing...\n",
      "Starting Training...\n",
      "Day -3 NewConfirmedCases_7davg -0.48440136335661077\n",
      "Day -2 NewConfirmedCases_7davg -0.14435075310362994\n",
      "Day -1 NewConfirmedCases_7davg 1.6330700069198327\n",
      "Day -3 C1_School closing 7.45031664542497\n",
      "Day -3 C2_Workplace closing 4.900571994435118\n",
      "Day -3 C3_Cancel public events 2.425501594751264\n",
      "Day -3 C4_Restrictions on gatherings -0.5895817749369617\n",
      "Day -3 C5_Close public transport -0.2787387397558647\n",
      "Day -3 C6_Stay at home requirements 6.253969940926043\n",
      "Day -3 C7_Restrictions on internal movement 13.44707789118386\n",
      "Day -3 C8_International travel controls -0.6104956517992867\n",
      "Day -3 H1_Public information campaigns 0.37706506488161423\n",
      "Day -3 H2_Testing policy -0.5613355319967948\n",
      "Day -3 H3_Contact tracing -0.4284190351130886\n",
      "Day -3 H6_Facial Coverings -1.9408777888236939\n",
      "Day -2 C1_School closing -0.3018742798941079\n",
      "Day -2 C2_Workplace closing -1.3924765213005128\n",
      "Day -2 C3_Cancel public events -11.715061100287283\n",
      "Day -2 C4_Restrictions on gatherings 6.006378326377071\n",
      "Day -2 C5_Close public transport -5.549123404116901\n",
      "Day -2 C6_Stay at home requirements 6.9299026065383185\n",
      "Day -2 C7_Restrictions on internal movement -14.044166309916363\n",
      "Day -2 C8_International travel controls 1.1984283244302039\n",
      "Day -2 H1_Public information campaigns 0.31913005754489776\n",
      "Day -2 H2_Testing policy -5.830394560293043\n",
      "Day -2 H3_Contact tracing 5.812636088093391\n",
      "Day -2 H6_Facial Coverings 2.003246909086467\n",
      "Day -1 C1_School closing -9.895836397946336\n",
      "Day -1 C2_Workplace closing -2.2278285605777333\n",
      "Day -1 C3_Cancel public events 8.765414561798737\n",
      "Day -1 C4_Restrictions on gatherings -5.503457018474014\n",
      "Day -1 C5_Close public transport 3.3525464806910406\n",
      "Day -1 C6_Stay at home requirements -8.769188233961337\n",
      "Day -1 C7_Restrictions on internal movement 0.16231656334117817\n",
      "Day -1 C8_International travel controls 0.5732805892255953\n",
      "Day -1 H1_Public information campaigns -0.6368720059552161\n",
      "Day -1 H2_Testing policy 1.1112625085507526\n",
      "Day -1 H3_Contact tracing -2.9236908401768162\n",
      "Day -1 H6_Facial Coverings -1.3443466360964627\n",
      "Day 0 C1_School closing 0.6601923481666941\n",
      "Day 0 C2_Workplace closing -0.22688887264969584\n",
      "Day 0 C3_Cancel public events 0.05736806199918019\n",
      "Day 0 C4_Restrictions on gatherings -0.6168425129011906\n",
      "Day 0 C5_Close public transport -0.45328244570552406\n",
      "Day 0 C6_Stay at home requirements -1.5906414219817748\n",
      "Day 0 C7_Restrictions on internal movement 0.029110553987900807\n",
      "Day 0 C8_International travel controls -0.2874638455418905\n",
      "Day 0 H1_Public information campaigns 0.047363492574825125\n",
      "Day 0 H2_Testing policy 0.10434545534146121\n",
      "Day 0 H3_Contact tracing 0.06628469231474313\n",
      "Day 0 H6_Facial Coverings -0.832739264072162\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -0.6955375307234488\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.25318751431646347\n",
      "Day -3 parks_percent_change_from_baseline -0.11529077548666664\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.31939705448789973\n",
      "Day -3 workplaces_percent_change_from_baseline 0.2674181223833539\n",
      "Day -3 residential_percent_change_from_baseline 1.05842577695894\n",
      "Starting Predicting...\n",
      "Starting Training...\n",
      "Day -5 NewConfirmedCases_7davg -0.5193743202796215\n",
      "Day -4 NewConfirmedCases_7davg 0.17145560736604595\n",
      "Day -3 NewConfirmedCases_7davg 0.09813953466315746\n",
      "Day -2 NewConfirmedCases_7davg -0.21073617937364822\n",
      "Day -1 NewConfirmedCases_7davg 1.458135178003602\n",
      "Day -5 C1_School closing -3.4085071913095577\n",
      "Day -5 C2_Workplace closing 5.996624777546804\n",
      "Day -5 C3_Cancel public events -3.6195442521801326\n",
      "Day -5 C4_Restrictions on gatherings -0.026527574087439033\n",
      "Day -5 C5_Close public transport 2.701676295838411\n",
      "Day -5 C6_Stay at home requirements 5.642777889841889\n",
      "Day -5 C7_Restrictions on internal movement -1.7555522764514122\n",
      "Day -5 C8_International travel controls -1.6751417762172447\n",
      "Day -5 H1_Public information campaigns 4.419284229135409\n",
      "Day -5 H2_Testing policy -7.382801472680437\n",
      "Day -5 H3_Contact tracing 4.669298842877137\n",
      "Day -5 H6_Facial Coverings -4.976651702883254\n",
      "Day -4 C1_School closing 1.562827990423781\n",
      "Day -4 C2_Workplace closing -1.0740731184029773\n",
      "Day -4 C3_Cancel public events 9.48559223187306\n",
      "Day -4 C4_Restrictions on gatherings -2.479412504148327\n",
      "Day -4 C5_Close public transport -1.1216004175265892\n",
      "Day -4 C6_Stay at home requirements -1.2434656095172154\n",
      "Day -4 C7_Restrictions on internal movement 11.554027384925808\n",
      "Day -4 C8_International travel controls 1.3274825181786913\n",
      "Day -4 H1_Public information campaigns -0.4861140109935062\n",
      "Day -4 H2_Testing policy 4.257533742422496\n",
      "Day -4 H3_Contact tracing -2.4844074981914432\n",
      "Day -4 H6_Facial Coverings 2.1403833809742183\n",
      "Day -3 C1_School closing 8.690397571795065\n",
      "Day -3 C2_Workplace closing -1.1189012020376647\n",
      "Day -3 C3_Cancel public events -2.8312701332843067\n",
      "Day -3 C4_Restrictions on gatherings 1.170889659503268\n",
      "Day -3 C5_Close public transport -0.6196418329197463\n",
      "Day -3 C6_Stay at home requirements -2.1873671643193213\n",
      "Day -3 C7_Restrictions on internal movement 3.6020814237514394\n",
      "Day -3 C8_International travel controls 0.032242303279561776\n",
      "Day -3 H1_Public information campaigns -1.852718112095534\n",
      "Day -3 H2_Testing policy 0.8005706915763577\n",
      "Day -3 H3_Contact tracing -1.277384016743986\n",
      "Day -3 H6_Facial Coverings -0.9510493684915935\n",
      "Day -2 C1_School closing 1.2184001958996062\n",
      "Day -2 C2_Workplace closing -1.1249616743000173\n",
      "Day -2 C3_Cancel public events -10.986080019073203\n",
      "Day -2 C4_Restrictions on gatherings 5.202114930238691\n",
      "Day -2 C5_Close public transport -5.160994629973432\n",
      "Day -2 C6_Stay at home requirements 4.5012497150677895\n",
      "Day -2 C7_Restrictions on internal movement -14.449618256461363\n",
      "Day -2 C8_International travel controls 1.205506911690679\n",
      "Day -2 H1_Public information campaigns -0.05761634788224451\n",
      "Day -2 H2_Testing policy -4.302867986795875\n",
      "Day -2 H3_Contact tracing 5.818376236182441\n",
      "Day -2 H6_Facial Coverings 1.5568549722984957\n",
      "Day -1 C1_School closing -9.352382487822142\n",
      "Day -1 C2_Workplace closing -1.1056501445842661\n",
      "Day -1 C3_Cancel public events 5.898419287533638\n",
      "Day -1 C4_Restrictions on gatherings -3.1870720292912615\n",
      "Day -1 C5_Close public transport 1.5124736638521823\n",
      "Day -1 C6_Stay at home requirements -3.2996411151510197\n",
      "Day -1 C7_Restrictions on internal movement -0.5436311086084522\n",
      "Day -1 C8_International travel controls -0.34091541067502024\n",
      "Day -1 H1_Public information campaigns -0.24421632597144202\n",
      "Day -1 H2_Testing policy 1.934823186934398\n",
      "Day -1 H3_Contact tracing -4.49677960037642\n",
      "Day -1 H6_Facial Coverings -0.8125547833987103\n",
      "Day 0 C1_School closing -0.4798591240561132\n",
      "Day 0 C2_Workplace closing 0.25519075794152746\n",
      "Day 0 C3_Cancel public events -0.004400534025170315\n",
      "Day 0 C4_Restrictions on gatherings 0.19821864554902516\n",
      "Day 0 C5_Close public transport -0.4685288158394402\n",
      "Day 0 C6_Stay at home requirements -0.8958540465693228\n",
      "Day 0 C7_Restrictions on internal movement 0.44165014804088837\n",
      "Day 0 C8_International travel controls -0.1350737817982036\n",
      "Day 0 H1_Public information campaigns 0.1032073816094699\n",
      "Day 0 H2_Testing policy -0.3445485999392883\n",
      "Day 0 H3_Contact tracing -0.16791820894389559\n",
      "Day 0 H6_Facial Coverings -0.6230380716513788\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.009521277436871261\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline 0.04787221424228245\n",
      "Day -5 parks_percent_change_from_baseline 0.01504357883631575\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.39467372548255253\n",
      "Day -5 workplaces_percent_change_from_baseline -0.14294720675490163\n",
      "Day -5 residential_percent_change_from_baseline -0.9476823341101166\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline 0.3921785357468275\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline -0.3371418526002491\n",
      "Day -4 parks_percent_change_from_baseline -0.0015033480903704445\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.011711744447130943\n",
      "Day -4 workplaces_percent_change_from_baseline 0.06350012996539862\n",
      "Day -4 residential_percent_change_from_baseline -0.5316168127622649\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -0.7449835919554202\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.2644802002429942\n",
      "Day -3 parks_percent_change_from_baseline -0.12458542008422377\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.5884824110689724\n",
      "Day -3 workplaces_percent_change_from_baseline 0.46368881953097857\n",
      "Day -3 residential_percent_change_from_baseline 1.6999543048187036\n",
      "Starting Predicting...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Training...\n",
      "Day -8 NewConfirmedCases_7davg 0.3952389431668779\n",
      "Day -7 NewConfirmedCases_7davg -0.22940400186511314\n",
      "Day -6 NewConfirmedCases_7davg -0.5043220654638421\n",
      "Day -5 NewConfirmedCases_7davg -0.15645658955237485\n",
      "Day -4 NewConfirmedCases_7davg 0.07486950444037578\n",
      "Day -3 NewConfirmedCases_7davg 0.08144844822644999\n",
      "Day -2 NewConfirmedCases_7davg -0.10725510895870265\n",
      "Day -1 NewConfirmedCases_7davg 1.4454628517256791\n",
      "Day -8 C1_School closing -0.37111929518910525\n",
      "Day -8 C2_Workplace closing 4.935564674850686\n",
      "Day -8 C3_Cancel public events 0.5406780858058344\n",
      "Day -8 C4_Restrictions on gatherings 1.5584369908199498\n",
      "Day -8 C5_Close public transport -9.051729868028566\n",
      "Day -8 C6_Stay at home requirements -7.624214869463179\n",
      "Day -8 C7_Restrictions on internal movement 14.930420375274831\n",
      "Day -8 C8_International travel controls -0.9659612029419209\n",
      "Day -8 H1_Public information campaigns 5.239497797224897\n",
      "Day -8 H2_Testing policy -1.7709511733534438\n",
      "Day -8 H3_Contact tracing -0.21733691329577692\n",
      "Day -8 H6_Facial Coverings -0.6693578478733967\n",
      "Day -7 C1_School closing -1.2788826201215957\n",
      "Day -7 C2_Workplace closing -0.2851123581741832\n",
      "Day -7 C3_Cancel public events -2.132748316446655\n",
      "Day -7 C4_Restrictions on gatherings -1.5598959116141076\n",
      "Day -7 C5_Close public transport 1.8310210897929855\n",
      "Day -7 C6_Stay at home requirements 12.836044245673245\n",
      "Day -7 C7_Restrictions on internal movement -11.307356852538463\n",
      "Day -7 C8_International travel controls 0.8500831041129063\n",
      "Day -7 H1_Public information campaigns 1.0516852500843246\n",
      "Day -7 H2_Testing policy 0.217340463145404\n",
      "Day -7 H3_Contact tracing 5.253833022493839\n",
      "Day -7 H6_Facial Coverings 3.1186973601383925\n",
      "Day -6 C1_School closing -4.702843383556621\n",
      "Day -6 C2_Workplace closing -2.674749919215896\n",
      "Day -6 C3_Cancel public events -10.363572754270578\n",
      "Day -6 C4_Restrictions on gatherings 2.290520028980212\n",
      "Day -6 C5_Close public transport 11.208270236935029\n",
      "Day -6 C6_Stay at home requirements 5.949488268346614\n",
      "Day -6 C7_Restrictions on internal movement -16.895573758953194\n",
      "Day -6 C8_International travel controls 0.21207337385847955\n",
      "Day -6 H1_Public information campaigns -0.6336065361619388\n",
      "Day -6 H2_Testing policy -2.727402031112807\n",
      "Day -6 H3_Contact tracing -0.6402004125192757\n",
      "Day -6 H6_Facial Coverings -3.8107105120205693\n",
      "Day -5 C1_School closing -0.9709284746993515\n",
      "Day -5 C2_Workplace closing 3.162773106105223\n",
      "Day -5 C3_Cancel public events 8.60699964397112\n",
      "Day -5 C4_Restrictions on gatherings -3.191165544198657\n",
      "Day -5 C5_Close public transport -3.6777881179428795\n",
      "Day -5 C6_Stay at home requirements -3.831438703044646\n",
      "Day -5 C7_Restrictions on internal movement 11.108891253109327\n",
      "Day -5 C8_International travel controls -2.9347037403283496\n",
      "Day -5 H1_Public information campaigns -0.1535828006227701\n",
      "Day -5 H2_Testing policy -2.748475882676458\n",
      "Day -5 H3_Contact tracing 0.40147742059463876\n",
      "Day -5 H6_Facial Coverings -3.0225770401628793\n",
      "Day -4 C1_School closing 5.202731722820851\n",
      "Day -4 C2_Workplace closing 0.8287065764901811\n",
      "Day -4 C3_Cancel public events 13.594762495091436\n",
      "Day -4 C4_Restrictions on gatherings -4.068944988605545\n",
      "Day -4 C5_Close public transport -3.0134046876971747\n",
      "Day -4 C6_Stay at home requirements -7.728850600389527\n",
      "Day -4 C7_Restrictions on internal movement 17.947796684561673\n",
      "Day -4 C8_International travel controls 1.6135598687062676\n",
      "Day -4 H1_Public information campaigns -1.6472497951252743\n",
      "Day -4 H2_Testing policy 4.127182578388645\n",
      "Day -4 H3_Contact tracing -2.872458849194445\n",
      "Day -4 H6_Facial Coverings 1.9218453712606625\n",
      "Day -3 C1_School closing 8.120926989080063\n",
      "Day -3 C2_Workplace closing -2.1881231449551324\n",
      "Day -3 C3_Cancel public events -7.420619669054777\n",
      "Day -3 C4_Restrictions on gatherings 2.581925869978147\n",
      "Day -3 C5_Close public transport 2.1714318590800397\n",
      "Day -3 C6_Stay at home requirements 0.8626215993209462\n",
      "Day -3 C7_Restrictions on internal movement -1.8755875086673988\n",
      "Day -3 C8_International travel controls 0.299594009764432\n",
      "Day -3 H1_Public information campaigns -2.0146226619445597\n",
      "Day -3 H2_Testing policy 1.90152700055728\n",
      "Day -3 H3_Contact tracing -0.5271075808872762\n",
      "Day -3 H6_Facial Coverings -0.012267529383676125\n",
      "Day -2 C1_School closing 1.88761955371932\n",
      "Day -2 C2_Workplace closing -1.9413916582232358\n",
      "Day -2 C3_Cancel public events -12.55510124258493\n",
      "Day -2 C4_Restrictions on gatherings 5.014151781511731\n",
      "Day -2 C5_Close public transport -3.4688002826604256\n",
      "Day -2 C6_Stay at home requirements 9.638018591000787\n",
      "Day -2 C7_Restrictions on internal movement -19.22748105793363\n",
      "Day -2 C8_International travel controls 1.6344311690639048\n",
      "Day -2 H1_Public information campaigns 0.1523805268680266\n",
      "Day -2 H2_Testing policy -4.622513204817194\n",
      "Day -2 H3_Contact tracing 4.893520103463044\n",
      "Day -2 H6_Facial Coverings 1.6519338645282828\n",
      "Day -1 C1_School closing -9.497050268420871\n",
      "Day -1 C2_Workplace closing 0.49413725212509424\n",
      "Day -1 C3_Cancel public events 7.653310736586974\n",
      "Day -1 C4_Restrictions on gatherings -2.3425811513310646\n",
      "Day -1 C5_Close public transport 0.8700904646027264\n",
      "Day -1 C6_Stay at home requirements -6.68265364907106\n",
      "Day -1 C7_Restrictions on internal movement 4.301753012375477\n",
      "Day -1 C8_International travel controls -0.32279001114164585\n",
      "Day -1 H1_Public information campaigns 0.2186603258970883\n",
      "Day -1 H2_Testing policy 1.1266467887919742\n",
      "Day -1 H3_Contact tracing -4.01181599003345\n",
      "Day -1 H6_Facial Coverings -1.669208900893208\n",
      "Day 0 C1_School closing 1.8841556333366505\n",
      "Day 0 C2_Workplace closing -0.07881478618442975\n",
      "Day 0 C3_Cancel public events -0.02658446696361898\n",
      "Day 0 C4_Restrictions on gatherings -0.08146748745454768\n",
      "Day 0 C5_Close public transport -0.6760379768815176\n",
      "Day 0 C6_Stay at home requirements 0.20217834626047063\n",
      "Day 0 C7_Restrictions on internal movement 0.25214671455034293\n",
      "Day 0 C8_International travel controls -0.006875282061896303\n",
      "Day 0 H1_Public information campaigns -0.002448125741782164\n",
      "Day 0 H2_Testing policy 0.0455578887685912\n",
      "Day 0 H3_Contact tracing -0.12016130462594429\n",
      "Day 0 H6_Facial Coverings 0.7800752576743694\n",
      "Day -8 retail_and_recreation_percent_change_from_baseline -0.5599197930858714\n",
      "Day -8 grocery_and_pharmacy_percent_change_from_baseline 0.04672165999381393\n",
      "Day -8 parks_percent_change_from_baseline -0.013696911927190884\n",
      "Day -8 transit_stations_percent_change_from_baseline -0.005159164425914898\n",
      "Day -8 workplaces_percent_change_from_baseline -0.19972244519255009\n",
      "Day -8 residential_percent_change_from_baseline 0.07826268786331565\n",
      "Day -7 retail_and_recreation_percent_change_from_baseline -0.36313669311143537\n",
      "Day -7 grocery_and_pharmacy_percent_change_from_baseline 0.22204632617709513\n",
      "Day -7 parks_percent_change_from_baseline 0.014207543120077866\n",
      "Day -7 transit_stations_percent_change_from_baseline 0.06493102337210077\n",
      "Day -7 workplaces_percent_change_from_baseline -0.2571754053357961\n",
      "Day -7 residential_percent_change_from_baseline -0.7337801829744492\n",
      "Day -6 retail_and_recreation_percent_change_from_baseline 0.596339443993451\n",
      "Day -6 grocery_and_pharmacy_percent_change_from_baseline -0.13815222930362175\n",
      "Day -6 parks_percent_change_from_baseline 0.05146522853172384\n",
      "Day -6 transit_stations_percent_change_from_baseline -0.3593481799682985\n",
      "Day -6 workplaces_percent_change_from_baseline -0.26949865478289387\n",
      "Day -6 residential_percent_change_from_baseline -0.8447385153000037\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.010336944462016592\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline -0.07348636896456287\n",
      "Day -5 parks_percent_change_from_baseline 0.03185876550254447\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.4578333769789213\n",
      "Day -5 workplaces_percent_change_from_baseline -0.022348659810942088\n",
      "Day -5 residential_percent_change_from_baseline -0.5293680776520421\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline 0.14342274708188216\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline -0.17683372508479334\n",
      "Day -4 parks_percent_change_from_baseline -0.003306276174325059\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.029200225810486626\n",
      "Day -4 workplaces_percent_change_from_baseline -0.01569238665474975\n",
      "Day -4 residential_percent_change_from_baseline -0.4934964559281261\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -1.8837508826121765\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.27733143318952663\n",
      "Day -3 parks_percent_change_from_baseline -0.10916524629058941\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.813929765617553\n",
      "Day -3 workplaces_percent_change_from_baseline 0.9771510370243982\n",
      "Day -3 residential_percent_change_from_baseline 0.5088659107940925\n",
      "Starting Predicting...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Training...\n",
      "Day -10 NewConfirmedCases_7davg -0.16270845912113618\n",
      "Day -9 NewConfirmedCases_7davg 0.07147773978056328\n",
      "Day -8 NewConfirmedCases_7davg 0.5323139037363763\n",
      "Day -7 NewConfirmedCases_7davg -0.2460027925297824\n",
      "Day -6 NewConfirmedCases_7davg -0.479384686479963\n",
      "Day -5 NewConfirmedCases_7davg -0.15387896804139783\n",
      "Day -4 NewConfirmedCases_7davg 0.059125920836364816\n",
      "Day -3 NewConfirmedCases_7davg 0.006484612864302802\n",
      "Day -2 NewConfirmedCases_7davg -0.10498955384953118\n",
      "Day -1 NewConfirmedCases_7davg 1.4758534229061087\n",
      "Day -10 C1_School closing -0.19794486716246107\n",
      "Day -10 C2_Workplace closing -15.83814663494264\n",
      "Day -10 C3_Cancel public events -12.025024755515552\n",
      "Day -10 C4_Restrictions on gatherings 1.2601062205750093\n",
      "Day -10 C5_Close public transport 12.292243163939341\n",
      "Day -10 C6_Stay at home requirements 20.99574303829385\n",
      "Day -10 C7_Restrictions on internal movement -26.802728795545676\n",
      "Day -10 C8_International travel controls -0.10136109024978474\n",
      "Day -10 H1_Public information campaigns 7.3819379489710615\n",
      "Day -10 H2_Testing policy 1.4218937339087045\n",
      "Day -10 H3_Contact tracing -3.9557741508105138\n",
      "Day -10 H6_Facial Coverings 0.15057776040932735\n",
      "Day -9 C1_School closing 1.9952978836525046\n",
      "Day -9 C2_Workplace closing 15.546323663304427\n",
      "Day -9 C3_Cancel public events 13.991317290955532\n",
      "Day -9 C4_Restrictions on gatherings -1.3690241954022944\n",
      "Day -9 C5_Close public transport -17.020365833925357\n",
      "Day -9 C6_Stay at home requirements -20.53979855682835\n",
      "Day -9 C7_Restrictions on internal movement 34.74883927961713\n",
      "Day -9 C8_International travel controls -0.21484666614650458\n",
      "Day -9 H1_Public information campaigns -2.9563934243174708\n",
      "Day -9 H2_Testing policy -3.40993312757172\n",
      "Day -9 H3_Contact tracing -0.3571129556764384\n",
      "Day -9 H6_Facial Coverings -1.4148141947889945\n",
      "Day -8 C1_School closing -1.0974989418404606\n",
      "Day -8 C2_Workplace closing 3.1273233205036024\n",
      "Day -8 C3_Cancel public events -0.9308238543398917\n",
      "Day -8 C4_Restrictions on gatherings 1.756612803623608\n",
      "Day -8 C5_Close public transport -4.472369027681184\n",
      "Day -8 C6_Stay at home requirements -8.81168965667592\n",
      "Day -8 C7_Restrictions on internal movement 7.340103708203083\n",
      "Day -8 C8_International travel controls -0.7973957810887927\n",
      "Day -8 H1_Public information campaigns 0.9428234256423804\n",
      "Day -8 H2_Testing policy 0.23159434346409494\n",
      "Day -8 H3_Contact tracing 3.1158877779682377\n",
      "Day -8 H6_Facial Coverings 0.6342438509726824\n",
      "Day -7 C1_School closing -1.2277889299376907\n",
      "Day -7 C2_Workplace closing 0.8035808716258637\n",
      "Day -7 C3_Cancel public events -2.808700119266446\n",
      "Day -7 C4_Restrictions on gatherings -1.7281945542910593\n",
      "Day -7 C5_Close public transport 1.8766812245663562\n",
      "Day -7 C6_Stay at home requirements 13.180403929749579\n",
      "Day -7 C7_Restrictions on internal movement -12.344149318367702\n",
      "Day -7 C8_International travel controls 1.2652927047505267\n",
      "Day -7 H1_Public information campaigns 1.0383295651125035\n",
      "Day -7 H2_Testing policy 0.14461614049392998\n",
      "Day -7 H3_Contact tracing 6.3416593522012175\n",
      "Day -7 H6_Facial Coverings 2.622951061979024\n",
      "Day -6 C1_School closing -5.178751784493918\n",
      "Day -6 C2_Workplace closing -3.6922833810402387\n",
      "Day -6 C3_Cancel public events -12.29355663288433\n",
      "Day -6 C4_Restrictions on gatherings 3.3138532496837017\n",
      "Day -6 C5_Close public transport 12.492458944294892\n",
      "Day -6 C6_Stay at home requirements 8.011328017148289\n",
      "Day -6 C7_Restrictions on internal movement -19.98547796002618\n",
      "Day -6 C8_International travel controls 0.18227193952772897\n",
      "Day -6 H1_Public information campaigns 0.3532063227832935\n",
      "Day -6 H2_Testing policy -2.8876631140406035\n",
      "Day -6 H3_Contact tracing -0.3765202089300815\n",
      "Day -6 H6_Facial Coverings -3.5085958896994063\n",
      "Day -5 C1_School closing -1.6377696722360002\n",
      "Day -5 C2_Workplace closing 4.137899220919936\n",
      "Day -5 C3_Cancel public events 10.516566882825664\n",
      "Day -5 C4_Restrictions on gatherings -3.8018343799245486\n",
      "Day -5 C5_Close public transport -4.7036601530505235\n",
      "Day -5 C6_Stay at home requirements -5.058774589591321\n",
      "Day -5 C7_Restrictions on internal movement 12.773449777114287\n",
      "Day -5 C8_International travel controls -2.8561702531453856\n",
      "Day -5 H1_Public information campaigns -0.5983458779493155\n",
      "Day -5 H2_Testing policy -2.914895904511546\n",
      "Day -5 H3_Contact tracing -0.3814140134938436\n",
      "Day -5 H6_Facial Coverings -3.415609037225452\n",
      "Day -4 C1_School closing 5.619903270830793\n",
      "Day -4 C2_Workplace closing 0.599384443056747\n",
      "Day -4 C3_Cancel public events 12.989234903365801\n",
      "Day -4 C4_Restrictions on gatherings -3.60257490857967\n",
      "Day -4 C5_Close public transport -2.4505785284032746\n",
      "Day -4 C6_Stay at home requirements -8.969575580115768\n",
      "Day -4 C7_Restrictions on internal movement 19.359645838821564\n",
      "Day -4 C8_International travel controls 1.4519821710424048\n",
      "Day -4 H1_Public information campaigns -1.4570774300281732\n",
      "Day -4 H2_Testing policy 3.8992947776503595\n",
      "Day -4 H3_Contact tracing -2.008153196649445\n",
      "Day -4 H6_Facial Coverings 2.2623238478780223\n",
      "Day -3 C1_School closing 7.834857536923291\n",
      "Day -3 C2_Workplace closing -1.795969228759848\n",
      "Day -3 C3_Cancel public events -7.9645270491827995\n",
      "Day -3 C4_Restrictions on gatherings 2.6075480216240843\n",
      "Day -3 C5_Close public transport 1.7340827877843503\n",
      "Day -3 C6_Stay at home requirements 1.9783595708221686\n",
      "Day -3 C7_Restrictions on internal movement -3.241098613373874\n",
      "Day -3 C8_International travel controls 0.37306478910364443\n",
      "Day -3 H1_Public information campaigns -2.0006377054180184\n",
      "Day -3 H2_Testing policy 3.5161038178028963\n",
      "Day -3 H3_Contact tracing -1.9961221816224988\n",
      "Day -3 H6_Facial Coverings 0.1364291920640993\n",
      "Day -2 C1_School closing 2.0169695463217443\n",
      "Day -2 C2_Workplace closing -1.2805388864280047\n",
      "Day -2 C3_Cancel public events -11.558544809190215\n",
      "Day -2 C4_Restrictions on gatherings 4.414106626032511\n",
      "Day -2 C5_Close public transport -3.7870851797861023\n",
      "Day -2 C6_Stay at home requirements 10.544370697463451\n",
      "Day -2 C7_Restrictions on internal movement -17.86382336664216\n",
      "Day -2 C8_International travel controls 0.741837569320214\n",
      "Day -2 H1_Public information campaigns -0.0989922143790016\n",
      "Day -2 H2_Testing policy -5.668325808456169\n",
      "Day -2 H3_Contact tracing 4.951932053869753\n",
      "Day -2 H6_Facial Coverings 0.8854304844395442\n",
      "Day -1 C1_School closing -9.549559299847672\n",
      "Day -1 C2_Workplace closing 0.326418218890236\n",
      "Day -1 C3_Cancel public events 7.521047480691407\n",
      "Day -1 C4_Restrictions on gatherings -2.2581716636045983\n",
      "Day -1 C5_Close public transport 0.833455782177749\n",
      "Day -1 C6_Stay at home requirements -7.636743463852673\n",
      "Day -1 C7_Restrictions on internal movement 4.445940152271945\n",
      "Day -1 C8_International travel controls 0.2835869811634135\n",
      "Day -1 H1_Public information campaigns 0.026707477379418375\n",
      "Day -1 H2_Testing policy 1.1589078957007266\n",
      "Day -1 H3_Contact tracing -3.1722793982238526\n",
      "Day -1 H6_Facial Coverings -1.1782355916069864\n",
      "Day 0 C1_School closing -1.2871873954042155\n",
      "Day 0 C2_Workplace closing 0.549376614442011\n",
      "Day 0 C3_Cancel public events 0.05572042644355951\n",
      "Day 0 C4_Restrictions on gatherings 0.14749729573214188\n",
      "Day 0 C5_Close public transport 0.7519509929770334\n",
      "Day 0 C6_Stay at home requirements 0.899834558391494\n",
      "Day 0 C7_Restrictions on internal movement 1.3572832584338013\n",
      "Day 0 C8_International travel controls -0.2447989091591946\n",
      "Day 0 H1_Public information campaigns -0.05302226773416799\n",
      "Day 0 H2_Testing policy -0.04665349467371711\n",
      "Day 0 H3_Contact tracing -0.7338663768777853\n",
      "Day 0 H6_Facial Coverings -1.6725005186852944\n",
      "Day -10 retail_and_recreation_percent_change_from_baseline 1.3679734037267721\n",
      "Day -10 grocery_and_pharmacy_percent_change_from_baseline 0.031421710460330474\n",
      "Day -10 parks_percent_change_from_baseline -0.0212829351774318\n",
      "Day -10 transit_stations_percent_change_from_baseline -0.1398618797467027\n",
      "Day -10 workplaces_percent_change_from_baseline -0.38490241020496896\n",
      "Day -10 residential_percent_change_from_baseline 0.7744028710109924\n",
      "Day -9 retail_and_recreation_percent_change_from_baseline 0.31838813854066966\n",
      "Day -9 grocery_and_pharmacy_percent_change_from_baseline -0.0979124475173877\n",
      "Day -9 parks_percent_change_from_baseline -0.00022124546023889155\n",
      "Day -9 transit_stations_percent_change_from_baseline -0.025757904298651706\n",
      "Day -9 workplaces_percent_change_from_baseline -0.15032958547582054\n",
      "Day -9 residential_percent_change_from_baseline 0.7965382151757757\n",
      "Day -8 retail_and_recreation_percent_change_from_baseline -0.6617955617737099\n",
      "Day -8 grocery_and_pharmacy_percent_change_from_baseline 0.07286666889440398\n",
      "Day -8 parks_percent_change_from_baseline -0.0050442057623896405\n",
      "Day -8 transit_stations_percent_change_from_baseline 0.015352002334266614\n",
      "Day -8 workplaces_percent_change_from_baseline -0.1860761708594103\n",
      "Day -8 residential_percent_change_from_baseline 0.2659398811800267\n",
      "Day -7 retail_and_recreation_percent_change_from_baseline -0.3245145854138264\n",
      "Day -7 grocery_and_pharmacy_percent_change_from_baseline 0.1798813417116311\n",
      "Day -7 parks_percent_change_from_baseline 0.017015564329225717\n",
      "Day -7 transit_stations_percent_change_from_baseline 0.13703024469936279\n",
      "Day -7 workplaces_percent_change_from_baseline -0.20837862795774278\n",
      "Day -7 residential_percent_change_from_baseline -0.7202224391305028\n",
      "Day -6 retail_and_recreation_percent_change_from_baseline 0.7251873931720179\n",
      "Day -6 grocery_and_pharmacy_percent_change_from_baseline -0.17295854631129653\n",
      "Day -6 parks_percent_change_from_baseline 0.050466279270260775\n",
      "Day -6 transit_stations_percent_change_from_baseline -0.4003310497348387\n",
      "Day -6 workplaces_percent_change_from_baseline -0.27997879733497655\n",
      "Day -6 residential_percent_change_from_baseline -0.7613040222703554\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.7821797178052504\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline -0.39611976380062264\n",
      "Day -5 parks_percent_change_from_baseline -0.03648700842383646\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.4483589296381738\n",
      "Day -5 workplaces_percent_change_from_baseline -0.5343352129533422\n",
      "Day -5 residential_percent_change_from_baseline -0.9385315512703697\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline -0.6075453209998722\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline -0.004129551273109645\n",
      "Day -4 parks_percent_change_from_baseline 0.05357716041000166\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.13480637990575875\n",
      "Day -4 workplaces_percent_change_from_baseline 0.4801933652716473\n",
      "Day -4 residential_percent_change_from_baseline 0.31652980948272114\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -1.7170429386685506\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.23579679505020706\n",
      "Day -3 parks_percent_change_from_baseline -0.10824106240770678\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.9139608391758001\n",
      "Day -3 workplaces_percent_change_from_baseline 0.7560588660800567\n",
      "Day -3 residential_percent_change_from_baseline 0.04867033211815578\n",
      "Starting Predicting...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Training...\n",
      "Day -15 NewConfirmedCases_7davg 0.24548157763187298\n",
      "Day -14 NewConfirmedCases_7davg 0.042269565197363336\n",
      "Day -13 NewConfirmedCases_7davg -0.42232141019921177\n",
      "Day -12 NewConfirmedCases_7davg -0.15980010128252983\n",
      "Day -11 NewConfirmedCases_7davg 0.007729013261872789\n",
      "Day -10 NewConfirmedCases_7davg 0.08523559809542636\n",
      "Day -9 NewConfirmedCases_7davg 0.11971656806698897\n",
      "Day -8 NewConfirmedCases_7davg 0.6593864017905093\n",
      "Day -7 NewConfirmedCases_7davg -0.1606722946772218\n",
      "Day -6 NewConfirmedCases_7davg -0.6521925562026477\n",
      "Day -5 NewConfirmedCases_7davg -0.26482960362717867\n",
      "Day -4 NewConfirmedCases_7davg -1.0479299238226126e-05\n",
      "Day -3 NewConfirmedCases_7davg 0.09400077064486476\n",
      "Day -2 NewConfirmedCases_7davg -0.05241216992546256\n",
      "Day -1 NewConfirmedCases_7davg 1.456771700319985\n",
      "Day -15 C1_School closing -0.6538754224673688\n",
      "Day -15 C2_Workplace closing 1.255052054441895\n",
      "Day -15 C3_Cancel public events 7.760310238275236\n",
      "Day -15 C4_Restrictions on gatherings -0.40109497899205365\n",
      "Day -15 C5_Close public transport 1.663328953837896\n",
      "Day -15 C6_Stay at home requirements -4.500735781172482\n",
      "Day -15 C7_Restrictions on internal movement 6.917753131641997\n",
      "Day -15 C8_International travel controls 0.5325506253014739\n",
      "Day -15 H1_Public information campaigns 2.4178542511973196\n",
      "Day -15 H2_Testing policy 3.7351300575210296\n",
      "Day -15 H3_Contact tracing -1.2756313215486368\n",
      "Day -15 H6_Facial Coverings -0.21871413479147167\n",
      "Day -14 C1_School closing -2.2607146113301093\n",
      "Day -14 C2_Workplace closing 6.5882852331988575\n",
      "Day -14 C3_Cancel public events -13.182934630588756\n",
      "Day -14 C4_Restrictions on gatherings 3.2555733448860398\n",
      "Day -14 C5_Close public transport -0.6924589393405787\n",
      "Day -14 C6_Stay at home requirements 5.038702516418523\n",
      "Day -14 C7_Restrictions on internal movement -9.227362283729287\n",
      "Day -14 C8_International travel controls 1.1119064950106519\n",
      "Day -14 H1_Public information campaigns -0.9948651499670665\n",
      "Day -14 H2_Testing policy 0.5598568690702969\n",
      "Day -14 H3_Contact tracing 3.498222539874835\n",
      "Day -14 H6_Facial Coverings 4.651578291013144\n",
      "Day -13 C1_School closing 4.840860630024652\n",
      "Day -13 C2_Workplace closing -2.136167471116621\n",
      "Day -13 C3_Cancel public events 3.608321973607441\n",
      "Day -13 C4_Restrictions on gatherings -3.0505208498910727\n",
      "Day -13 C5_Close public transport -3.4916325538681403\n",
      "Day -13 C6_Stay at home requirements 2.3885523418981003\n",
      "Day -13 C7_Restrictions on internal movement 2.5422768822884394\n",
      "Day -13 C8_International travel controls -2.7253420022381216\n",
      "Day -13 H1_Public information campaigns 3.362354812232812\n",
      "Day -13 H2_Testing policy -3.314651594983123\n",
      "Day -13 H3_Contact tracing -1.3011702365465188\n",
      "Day -13 H6_Facial Coverings -4.012801062122157\n",
      "Day -12 C1_School closing -1.6776808894445427\n",
      "Day -12 C2_Workplace closing -5.894076181452399\n",
      "Day -12 C3_Cancel public events -3.674877005347923\n",
      "Day -12 C4_Restrictions on gatherings 4.617886527822749\n",
      "Day -12 C5_Close public transport 5.462388543708975\n",
      "Day -12 C6_Stay at home requirements 3.5557908218509366\n",
      "Day -12 C7_Restrictions on internal movement -7.7345424801681055\n",
      "Day -12 C8_International travel controls -1.028018162339648\n",
      "Day -12 H1_Public information campaigns 1.5647170715976497\n",
      "Day -12 H2_Testing policy -3.648949436561348\n",
      "Day -12 H3_Contact tracing -5.945654878492852\n",
      "Day -12 H6_Facial Coverings -3.5190236040079164\n",
      "Day -11 C1_School closing -2.907683543190129\n",
      "Day -11 C2_Workplace closing -13.114322759610785\n",
      "Day -11 C3_Cancel public events -12.550929080226108\n",
      "Day -11 C4_Restrictions on gatherings 4.665453492376315\n",
      "Day -11 C5_Close public transport 14.89783306851067\n",
      "Day -11 C6_Stay at home requirements -2.7856044022355966\n",
      "Day -11 C7_Restrictions on internal movement -20.244725240517635\n",
      "Day -11 C8_International travel controls 2.55300611092629\n",
      "Day -11 H1_Public information campaigns 1.5725059789661933\n",
      "Day -11 H2_Testing policy 1.865796599715846\n",
      "Day -11 H3_Contact tracing 0.23463357514507982\n",
      "Day -11 H6_Facial Coverings 2.753913056846033\n",
      "Day -10 C1_School closing 4.525498696693839\n",
      "Day -10 C2_Workplace closing -1.4156424772145002\n",
      "Day -10 C3_Cancel public events 10.178695450094235\n",
      "Day -10 C4_Restrictions on gatherings -8.08352403281192\n",
      "Day -10 C5_Close public transport -4.995005294507809\n",
      "Day -10 C6_Stay at home requirements 14.219649124659071\n",
      "Day -10 C7_Restrictions on internal movement 5.767396724633493\n",
      "Day -10 C8_International travel controls -1.3204025942602229\n",
      "Day -10 H1_Public information campaigns -0.1658039694590067\n",
      "Day -10 H2_Testing policy 2.8670776578430437\n",
      "Day -10 H3_Contact tracing -0.3384309830194477\n",
      "Day -10 H6_Facial Coverings 0.4137219497770733\n",
      "Day -9 C1_School closing 2.467927417162696\n",
      "Day -9 C2_Workplace closing 13.46334450655393\n",
      "Day -9 C3_Cancel public events 9.00357799665283\n",
      "Day -9 C4_Restrictions on gatherings -0.501870021138575\n",
      "Day -9 C5_Close public transport -15.542714548460614\n",
      "Day -9 C6_Stay at home requirements -16.48843188000981\n",
      "Day -9 C7_Restrictions on internal movement 28.398373458915273\n",
      "Day -9 C8_International travel controls 0.5526525959683692\n",
      "Day -9 H1_Public information campaigns -3.510020214220206\n",
      "Day -9 H2_Testing policy -3.084989235550352\n",
      "Day -9 H3_Contact tracing -1.0141783304480962\n",
      "Day -9 H6_Facial Coverings -0.35882655824400944\n",
      "Day -8 C1_School closing -1.765862400990225\n",
      "Day -8 C2_Workplace closing 2.961334757130897\n",
      "Day -8 C3_Cancel public events -3.1324601611753717\n",
      "Day -8 C4_Restrictions on gatherings 1.9488679013303714\n",
      "Day -8 C5_Close public transport -3.6604599191788036\n",
      "Day -8 C6_Stay at home requirements -8.101042500127699\n",
      "Day -8 C7_Restrictions on internal movement 4.275435974169113\n",
      "Day -8 C8_International travel controls 0.43926132628226117\n",
      "Day -8 H1_Public information campaigns 1.4130238111753757\n",
      "Day -8 H2_Testing policy -2.0548897838100144\n",
      "Day -8 H3_Contact tracing 4.974948341892444\n",
      "Day -8 H6_Facial Coverings 0.1810430231232669\n",
      "Day -7 C1_School closing -2.6368366053482712\n",
      "Day -7 C2_Workplace closing 0.4619431103742674\n",
      "Day -7 C3_Cancel public events -2.5714740348021894\n",
      "Day -7 C4_Restrictions on gatherings -0.9866558759458874\n",
      "Day -7 C5_Close public transport 1.6135701098181336\n",
      "Day -7 C6_Stay at home requirements 12.100751320853677\n",
      "Day -7 C7_Restrictions on internal movement -12.064497355627196\n",
      "Day -7 C8_International travel controls 1.355940466767755\n",
      "Day -7 H1_Public information campaigns 1.838982835921666\n",
      "Day -7 H2_Testing policy -0.12194235048354835\n",
      "Day -7 H3_Contact tracing 7.581067743016382\n",
      "Day -7 H6_Facial Coverings 2.4618439408981474\n",
      "Day -6 C1_School closing -6.917933009705318\n",
      "Day -6 C2_Workplace closing -3.405327664640695\n",
      "Day -6 C3_Cancel public events -9.759825052158895\n",
      "Day -6 C4_Restrictions on gatherings 2.737650949285375\n",
      "Day -6 C5_Close public transport 11.856506192881811\n",
      "Day -6 C6_Stay at home requirements 7.017141579335581\n",
      "Day -6 C7_Restrictions on internal movement -16.081301339496854\n",
      "Day -6 C8_International travel controls -0.9057984306431279\n",
      "Day -6 H1_Public information campaigns -0.4440996676874531\n",
      "Day -6 H2_Testing policy -0.7489885257691028\n",
      "Day -6 H3_Contact tracing -1.5485579400589395\n",
      "Day -6 H6_Facial Coverings -4.126999173898932\n",
      "Day -5 C1_School closing -0.5473190113729011\n",
      "Day -5 C2_Workplace closing 4.407056810403086\n",
      "Day -5 C3_Cancel public events 7.914176291366887\n",
      "Day -5 C4_Restrictions on gatherings -2.840554688988664\n",
      "Day -5 C5_Close public transport -4.28817297324374\n",
      "Day -5 C6_Stay at home requirements -3.5340129645514953\n",
      "Day -5 C7_Restrictions on internal movement 11.271918754453205\n",
      "Day -5 C8_International travel controls -2.865892894191606\n",
      "Day -5 H1_Public information campaigns 0.5416015756189977\n",
      "Day -5 H2_Testing policy -2.467052911174743\n",
      "Day -5 H3_Contact tracing -0.5704249305840092\n",
      "Day -5 H6_Facial Coverings -2.4700604605191336\n",
      "Day -4 C1_School closing 6.741336886759644\n",
      "Day -4 C2_Workplace closing 1.5367258659642906\n",
      "Day -4 C3_Cancel public events 14.941821522986823\n",
      "Day -4 C4_Restrictions on gatherings -4.6088163822141235\n",
      "Day -4 C5_Close public transport -4.279652476037996\n",
      "Day -4 C6_Stay at home requirements -9.802750546771867\n",
      "Day -4 C7_Restrictions on internal movement 19.679371622996822\n",
      "Day -4 C8_International travel controls 1.4333123326189712\n",
      "Day -4 H1_Public information campaigns -1.5247928675596842\n",
      "Day -4 H2_Testing policy 3.819994588153143\n",
      "Day -4 H3_Contact tracing -4.299112725036939\n",
      "Day -4 H6_Facial Coverings 1.1312124446197953\n",
      "Day -3 C1_School closing 7.798880872434318\n",
      "Day -3 C2_Workplace closing -0.4816399218214244\n",
      "Day -3 C3_Cancel public events -5.886097665325652\n",
      "Day -3 C4_Restrictions on gatherings 1.8048230224218256\n",
      "Day -3 C5_Close public transport 0.3864638499474347\n",
      "Day -3 C6_Stay at home requirements 0.8774514814076241\n",
      "Day -3 C7_Restrictions on internal movement -1.6626422045742528\n",
      "Day -3 C8_International travel controls -0.7530056945514917\n",
      "Day -3 H1_Public information campaigns -2.5423706846043315\n",
      "Day -3 H2_Testing policy 0.3828029240539421\n",
      "Day -3 H3_Contact tracing -0.7908494570420636\n",
      "Day -3 H6_Facial Coverings -0.4762192970755726\n",
      "Day -2 C1_School closing 0.4881408053600619\n",
      "Day -2 C2_Workplace closing -1.6008459010236455\n",
      "Day -2 C3_Cancel public events -13.231923656714798\n",
      "Day -2 C4_Restrictions on gatherings 4.3690937381406885\n",
      "Day -2 C5_Close public transport -4.01078793783932\n",
      "Day -2 C6_Stay at home requirements 10.54795398462449\n",
      "Day -2 C7_Restrictions on internal movement -18.12758695274582\n",
      "Day -2 C8_International travel controls 1.2198944121585176\n",
      "Day -2 H1_Public information campaigns 0.04890383494654905\n",
      "Day -2 H2_Testing policy -6.127264582638429\n",
      "Day -2 H3_Contact tracing 5.771506763156901\n",
      "Day -2 H6_Facial Coverings 0.9316483881066074\n",
      "Day -1 C1_School closing -8.76438239403313\n",
      "Day -1 C2_Workplace closing -1.28985710555704\n",
      "Day -1 C3_Cancel public events 7.779829973335794\n",
      "Day -1 C4_Restrictions on gatherings -2.0376254171705157\n",
      "Day -1 C5_Close public transport 3.206268897183628\n",
      "Day -1 C6_Stay at home requirements -6.978202488068347\n",
      "Day -1 C7_Restrictions on internal movement 4.055434749386692\n",
      "Day -1 C8_International travel controls 0.8546575494718592\n",
      "Day -1 H1_Public information campaigns -0.5754672195127356\n",
      "Day -1 H2_Testing policy 3.909640034768229\n",
      "Day -1 H3_Contact tracing -3.2534927691088287\n",
      "Day -1 H6_Facial Coverings -0.44848583794011604\n",
      "Day 0 C1_School closing -0.031471363187781334\n",
      "Day 0 C2_Workplace closing -0.04351955838065785\n",
      "Day 0 C3_Cancel public events 0.028963742358297278\n",
      "Day 0 C4_Restrictions on gatherings -0.15019835580709387\n",
      "Day 0 C5_Close public transport 0.1945589711961371\n",
      "Day 0 C6_Stay at home requirements 0.9281761492405923\n",
      "Day 0 C7_Restrictions on internal movement -0.7729252383265669\n",
      "Day 0 C8_International travel controls 0.10452123242909331\n",
      "Day 0 H1_Public information campaigns 0.05138705301336175\n",
      "Day 0 H2_Testing policy 0.15293708031403486\n",
      "Day 0 H3_Contact tracing -0.09810073793322632\n",
      "Day 0 H6_Facial Coverings -1.1398086429680387\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 0.504377282406078\n",
      "Day -15 grocery_and_pharmacy_percent_change_from_baseline -0.47138255752436814\n",
      "Day -15 parks_percent_change_from_baseline -0.015626941756762637\n",
      "Day -15 transit_stations_percent_change_from_baseline 0.49642642218098615\n",
      "Day -15 workplaces_percent_change_from_baseline -0.29835436290291983\n",
      "Day -15 residential_percent_change_from_baseline -1.8336954984132838\n",
      "Day -14 retail_and_recreation_percent_change_from_baseline -0.33376055040417363\n",
      "Day -14 grocery_and_pharmacy_percent_change_from_baseline -0.20715198198917764\n",
      "Day -14 parks_percent_change_from_baseline -0.022320160268214206\n",
      "Day -14 transit_stations_percent_change_from_baseline 0.09216715650553015\n",
      "Day -14 workplaces_percent_change_from_baseline 0.5640932712748056\n",
      "Day -14 residential_percent_change_from_baseline 0.09658132578905722\n",
      "Day -13 retail_and_recreation_percent_change_from_baseline -2.0399392216111227\n",
      "Day -13 grocery_and_pharmacy_percent_change_from_baseline 0.7776626675501936\n",
      "Day -13 parks_percent_change_from_baseline 0.07229629377867941\n",
      "Day -13 transit_stations_percent_change_from_baseline -0.10519557517304742\n",
      "Day -13 workplaces_percent_change_from_baseline 1.1158588990493836\n",
      "Day -13 residential_percent_change_from_baseline 1.9634045426569597\n",
      "Day -12 retail_and_recreation_percent_change_from_baseline -0.3172428773648835\n",
      "Day -12 grocery_and_pharmacy_percent_change_from_baseline 0.3188594390760381\n",
      "Day -12 parks_percent_change_from_baseline 0.05070094356462092\n",
      "Day -12 transit_stations_percent_change_from_baseline 0.03904451143656791\n",
      "Day -12 workplaces_percent_change_from_baseline -0.08460255124061283\n",
      "Day -12 residential_percent_change_from_baseline -0.49151677053648407\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 1.329254078790242\n",
      "Day -11 grocery_and_pharmacy_percent_change_from_baseline -0.2605348071444442\n",
      "Day -11 parks_percent_change_from_baseline -0.0677625166237012\n",
      "Day -11 transit_stations_percent_change_from_baseline -0.06440665757621372\n",
      "Day -11 workplaces_percent_change_from_baseline -0.7767174557887914\n",
      "Day -11 residential_percent_change_from_baseline -1.7933980546652306\n",
      "Day -10 retail_and_recreation_percent_change_from_baseline 1.3846268252520568\n",
      "Day -10 grocery_and_pharmacy_percent_change_from_baseline 0.009754168967762565\n",
      "Day -10 parks_percent_change_from_baseline -0.029726027524543994\n",
      "Day -10 transit_stations_percent_change_from_baseline 0.02893127025444136\n",
      "Day -10 workplaces_percent_change_from_baseline -0.45164391861497244\n",
      "Day -10 residential_percent_change_from_baseline 0.4142919797695413\n",
      "Day -9 retail_and_recreation_percent_change_from_baseline 0.8769718949479924\n",
      "Day -9 grocery_and_pharmacy_percent_change_from_baseline -0.08223451885521837\n",
      "Day -9 parks_percent_change_from_baseline -0.039031435527537\n",
      "Day -9 transit_stations_percent_change_from_baseline -0.02960000899186019\n",
      "Day -9 workplaces_percent_change_from_baseline -0.13680724010725356\n",
      "Day -9 residential_percent_change_from_baseline 1.6330044099079577\n",
      "Day -8 retail_and_recreation_percent_change_from_baseline -0.5606308004559715\n",
      "Day -8 grocery_and_pharmacy_percent_change_from_baseline 0.2732593498902274\n",
      "Day -8 parks_percent_change_from_baseline 0.0004686573509485268\n",
      "Day -8 transit_stations_percent_change_from_baseline -0.2927861705511415\n",
      "Day -8 workplaces_percent_change_from_baseline 0.1066945233735156\n",
      "Day -8 residential_percent_change_from_baseline 1.6374640285523887\n",
      "Day -7 retail_and_recreation_percent_change_from_baseline -0.041101820217425755\n",
      "Day -7 grocery_and_pharmacy_percent_change_from_baseline 0.27230461836527853\n",
      "Day -7 parks_percent_change_from_baseline 0.00012510927663011504\n",
      "Day -7 transit_stations_percent_change_from_baseline 0.02472400091359852\n",
      "Day -7 workplaces_percent_change_from_baseline -0.533754317254896\n",
      "Day -7 residential_percent_change_from_baseline -0.511236463600266\n",
      "Day -6 retail_and_recreation_percent_change_from_baseline 1.829426210754884\n",
      "Day -6 grocery_and_pharmacy_percent_change_from_baseline -0.6028447679291375\n",
      "Day -6 parks_percent_change_from_baseline -0.03369427408118413\n",
      "Day -6 transit_stations_percent_change_from_baseline -0.22299606947618472\n",
      "Day -6 workplaces_percent_change_from_baseline -1.0900710347005798\n",
      "Day -6 residential_percent_change_from_baseline -1.978144291563809\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.19554624864837794\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline -0.28170578815011404\n",
      "Day -5 parks_percent_change_from_baseline 0.03921494364609708\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.5261872034401297\n",
      "Day -5 workplaces_percent_change_from_baseline 0.017489572075958984\n",
      "Day -5 residential_percent_change_from_baseline -0.16808069488758795\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline -0.734237826055001\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline 0.043974662786053303\n",
      "Day -4 parks_percent_change_from_baseline 0.09356279608603706\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.1686402460171261\n",
      "Day -4 workplaces_percent_change_from_baseline 0.5642045536953362\n",
      "Day -4 residential_percent_change_from_baseline 0.40264648894353827\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -1.625357147932202\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.26106016552048367\n",
      "Day -3 parks_percent_change_from_baseline -0.13958709828912436\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.7892964428665191\n",
      "Day -3 workplaces_percent_change_from_baseline 0.635825591763271\n",
      "Day -3 residential_percent_change_from_baseline -0.2924342344336172\n",
      "Starting Predicting...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Training...\n",
      "Day -20 NewConfirmedCases_7davg 0.09431214133894587\n",
      "Day -19 NewConfirmedCases_7davg -0.222276140835116\n",
      "Day -18 NewConfirmedCases_7davg 0.10197257378224944\n",
      "Day -17 NewConfirmedCases_7davg 0.0628861461510578\n",
      "Day -16 NewConfirmedCases_7davg -0.18116116502888888\n",
      "Day -15 NewConfirmedCases_7davg 0.43834425707765684\n",
      "Day -14 NewConfirmedCases_7davg 0.021342924082212323\n",
      "Day -13 NewConfirmedCases_7davg -0.3825048933282084\n",
      "Day -12 NewConfirmedCases_7davg -0.24496610597271296\n",
      "Day -11 NewConfirmedCases_7davg 0.027813435039135186\n",
      "Day -10 NewConfirmedCases_7davg 0.09945165534581886\n",
      "Day -9 NewConfirmedCases_7davg 0.0396768763993673\n",
      "Day -8 NewConfirmedCases_7davg 0.725740007520607\n",
      "Day -7 NewConfirmedCases_7davg -0.14946777286707946\n",
      "Day -6 NewConfirmedCases_7davg -0.6207515648407265\n",
      "Day -5 NewConfirmedCases_7davg -0.3337043968184083\n",
      "Day -4 NewConfirmedCases_7davg 0.04531688229706528\n",
      "Day -3 NewConfirmedCases_7davg 0.08610988878171079\n",
      "Day -2 NewConfirmedCases_7davg -0.10478072834196807\n",
      "Day -1 NewConfirmedCases_7davg 1.4944665901114011\n",
      "Day -20 C1_School closing 5.764858577872738\n",
      "Day -20 C2_Workplace closing -6.452990971985198\n",
      "Day -20 C3_Cancel public events 2.945127311357885\n",
      "Day -20 C4_Restrictions on gatherings -0.7018880816483639\n",
      "Day -20 C5_Close public transport -6.608930958650827\n",
      "Day -20 C6_Stay at home requirements -2.031506276125885\n",
      "Day -20 C7_Restrictions on internal movement 2.4294382430522723\n",
      "Day -20 C8_International travel controls 0.22613357349942154\n",
      "Day -20 H1_Public information campaigns -2.5078237767784657\n",
      "Day -20 H2_Testing policy 0.7949977605019285\n",
      "Day -20 H3_Contact tracing -4.905006573751898\n",
      "Day -20 H6_Facial Coverings -0.3495848111040461\n",
      "Day -19 C1_School closing 6.601986678572094\n",
      "Day -19 C2_Workplace closing 11.603811885753839\n",
      "Day -19 C3_Cancel public events 1.888794228968998\n",
      "Day -19 C4_Restrictions on gatherings -0.677679729010484\n",
      "Day -19 C5_Close public transport 3.7206137252439184\n",
      "Day -19 C6_Stay at home requirements -33.080458772302165\n",
      "Day -19 C7_Restrictions on internal movement 12.582262306146763\n",
      "Day -19 C8_International travel controls -1.2817806721636926\n",
      "Day -19 H1_Public information campaigns 4.209012526486223\n",
      "Day -19 H2_Testing policy 4.078247002352008\n",
      "Day -19 H3_Contact tracing -3.438278447477843\n",
      "Day -19 H6_Facial Coverings -0.11510042902333986\n",
      "Day -18 C1_School closing -6.67102938490911\n",
      "Day -18 C2_Workplace closing -12.350310942671467\n",
      "Day -18 C3_Cancel public events -2.34289634340477\n",
      "Day -18 C4_Restrictions on gatherings 1.3504623748928086\n",
      "Day -18 C5_Close public transport 2.5141048723203845\n",
      "Day -18 C6_Stay at home requirements 24.316907635504315\n",
      "Day -18 C7_Restrictions on internal movement -11.068341781956379\n",
      "Day -18 C8_International travel controls -2.5615480153840298\n",
      "Day -18 H1_Public information campaigns 3.238944750005167\n",
      "Day -18 H2_Testing policy 0.7730419754987754\n",
      "Day -18 H3_Contact tracing 2.691517849648642\n",
      "Day -18 H6_Facial Coverings -1.7744523317184615\n",
      "Day -17 C1_School closing -0.6143665934839337\n",
      "Day -17 C2_Workplace closing -2.3780743591603954\n",
      "Day -17 C3_Cancel public events -9.880764361407495\n",
      "Day -17 C4_Restrictions on gatherings 3.064566094870751\n",
      "Day -17 C5_Close public transport -2.8904210416921323\n",
      "Day -17 C6_Stay at home requirements 26.95083245851449\n",
      "Day -17 C7_Restrictions on internal movement -13.45700303503396\n",
      "Day -17 C8_International travel controls 0.7678501274560589\n",
      "Day -17 H1_Public information campaigns 4.337430135491245\n",
      "Day -17 H2_Testing policy -2.4219581723333743\n",
      "Day -17 H3_Contact tracing -0.0011447706116991248\n",
      "Day -17 H6_Facial Coverings -0.16730472788864936\n",
      "Day -16 C1_School closing 0.8978928867658149\n",
      "Day -16 C2_Workplace closing 4.877908979770893\n",
      "Day -16 C3_Cancel public events 10.390970006414399\n",
      "Day -16 C4_Restrictions on gatherings -3.7716383041108354\n",
      "Day -16 C5_Close public transport 2.897753998744754\n",
      "Day -16 C6_Stay at home requirements -13.464605928438457\n",
      "Day -16 C7_Restrictions on internal movement 13.72904959598374\n",
      "Day -16 C8_International travel controls 1.1554470741811265\n",
      "Day -16 H1_Public information campaigns -0.4748081163929784\n",
      "Day -16 H2_Testing policy 0.10248234597709671\n",
      "Day -16 H3_Contact tracing 0.6489303799593782\n",
      "Day -16 H6_Facial Coverings -2.1173550416497564\n",
      "Day -15 C1_School closing -5.670642274337421\n",
      "Day -15 C2_Workplace closing 3.002021013692774\n",
      "Day -15 C3_Cancel public events 4.3302065689062434\n",
      "Day -15 C4_Restrictions on gatherings 0.5111842631470944\n",
      "Day -15 C5_Close public transport 1.6585670500212948\n",
      "Day -15 C6_Stay at home requirements -6.72289723653202\n",
      "Day -15 C7_Restrictions on internal movement 1.9894393630362484\n",
      "Day -15 C8_International travel controls 1.2994309724668565\n",
      "Day -15 H1_Public information campaigns -5.872869726584056\n",
      "Day -15 H2_Testing policy 1.137312972695739\n",
      "Day -15 H3_Contact tracing 2.143684208914041\n",
      "Day -15 H6_Facial Coverings 3.9598506600600603\n",
      "Day -14 C1_School closing -1.3792178526918333\n",
      "Day -14 C2_Workplace closing 8.199883962649965\n",
      "Day -14 C3_Cancel public events -12.804583515587144\n",
      "Day -14 C4_Restrictions on gatherings 3.452829025294608\n",
      "Day -14 C5_Close public transport -1.233565444339985\n",
      "Day -14 C6_Stay at home requirements 2.319511500202537\n",
      "Day -14 C7_Restrictions on internal movement -6.514699956292912\n",
      "Day -14 C8_International travel controls 1.8285090417467667\n",
      "Day -14 H1_Public information campaigns -1.0170145126778494\n",
      "Day -14 H2_Testing policy -0.3208241764628431\n",
      "Day -14 H3_Contact tracing 4.226875768134509\n",
      "Day -14 H6_Facial Coverings 5.109689221488384\n",
      "Day -13 C1_School closing 4.835489807751195\n",
      "Day -13 C2_Workplace closing -2.147582403838574\n",
      "Day -13 C3_Cancel public events 3.724898140147432\n",
      "Day -13 C4_Restrictions on gatherings -2.896157391017235\n",
      "Day -13 C5_Close public transport -2.381084923172761\n",
      "Day -13 C6_Stay at home requirements 3.338580358760705\n",
      "Day -13 C7_Restrictions on internal movement 1.2255743883737114\n",
      "Day -13 C8_International travel controls -2.918429958444523\n",
      "Day -13 H1_Public information campaigns 3.726067940072812\n",
      "Day -13 H2_Testing policy -3.262424042292672\n",
      "Day -13 H3_Contact tracing -0.8383683826170266\n",
      "Day -13 H6_Facial Coverings -4.651689829104014\n",
      "Day -12 C1_School closing -3.018006382974553\n",
      "Day -12 C2_Workplace closing -6.558962128648715\n",
      "Day -12 C3_Cancel public events -4.565339226015517\n",
      "Day -12 C4_Restrictions on gatherings 4.4835062272796815\n",
      "Day -12 C5_Close public transport 5.672555887922057\n",
      "Day -12 C6_Stay at home requirements 5.709285012908093\n",
      "Day -12 C7_Restrictions on internal movement -9.331031184545362\n",
      "Day -12 C8_International travel controls -1.5056995636109252\n",
      "Day -12 H1_Public information campaigns 1.415606424939246\n",
      "Day -12 H2_Testing policy -3.170166035940545\n",
      "Day -12 H3_Contact tracing -6.198760408957435\n",
      "Day -12 H6_Facial Coverings -3.587505184046101\n",
      "Day -11 C1_School closing -2.17248916948897\n",
      "Day -11 C2_Workplace closing -11.78419238974744\n",
      "Day -11 C3_Cancel public events -11.469679750290357\n",
      "Day -11 C4_Restrictions on gatherings 4.637377084627454\n",
      "Day -11 C5_Close public transport 13.304369448387158\n",
      "Day -11 C6_Stay at home requirements -5.525575519714939\n",
      "Day -11 C7_Restrictions on internal movement -18.088843061599803\n",
      "Day -11 C8_International travel controls 2.7547081567933396\n",
      "Day -11 H1_Public information campaigns 1.7643285912096152\n",
      "Day -11 H2_Testing policy 1.3481092319992143\n",
      "Day -11 H3_Contact tracing 0.37402918773671195\n",
      "Day -11 H6_Facial Coverings 3.312065286166287\n",
      "Day -10 C1_School closing 4.14341336615199\n",
      "Day -10 C2_Workplace closing -1.362847828010724\n",
      "Day -10 C3_Cancel public events 10.417684874461047\n",
      "Day -10 C4_Restrictions on gatherings -8.039985041633003\n",
      "Day -10 C5_Close public transport -4.018800017646198\n",
      "Day -10 C6_Stay at home requirements 14.580106467791847\n",
      "Day -10 C7_Restrictions on internal movement 5.380395661850842\n",
      "Day -10 C8_International travel controls -0.8534474621842508\n",
      "Day -10 H1_Public information campaigns -0.5152974592484632\n",
      "Day -10 H2_Testing policy 3.1723785951192585\n",
      "Day -10 H3_Contact tracing -0.8443636343838912\n",
      "Day -10 H6_Facial Coverings -0.20894918178195815\n",
      "Day -9 C1_School closing 2.805390628887819\n",
      "Day -9 C2_Workplace closing 12.440367538207045\n",
      "Day -9 C3_Cancel public events 8.913592976544452\n",
      "Day -9 C4_Restrictions on gatherings -1.2000034794398773\n",
      "Day -9 C5_Close public transport -14.907675034078741\n",
      "Day -9 C6_Stay at home requirements -15.334766623863308\n",
      "Day -9 C7_Restrictions on internal movement 27.95649286409467\n",
      "Day -9 C8_International travel controls 0.0182248258044433\n",
      "Day -9 H1_Public information campaigns -3.673102025211882\n",
      "Day -9 H2_Testing policy -2.898750888290346\n",
      "Day -9 H3_Contact tracing -1.2645394210248595\n",
      "Day -9 H6_Facial Coverings -0.5717408460777378\n",
      "Day -8 C1_School closing -1.3809211537496116\n",
      "Day -8 C2_Workplace closing 4.44257970367916\n",
      "Day -8 C3_Cancel public events -3.8160552953473785\n",
      "Day -8 C4_Restrictions on gatherings 2.8222715606339355\n",
      "Day -8 C5_Close public transport -5.258783669211353\n",
      "Day -8 C6_Stay at home requirements -8.579889103359857\n",
      "Day -8 C7_Restrictions on internal movement 3.839483220978199\n",
      "Day -8 C8_International travel controls 1.0318996315747817\n",
      "Day -8 H1_Public information campaigns 1.3592663044570914\n",
      "Day -8 H2_Testing policy -2.519816570091655\n",
      "Day -8 H3_Contact tracing 5.243851495198197\n",
      "Day -8 H6_Facial Coverings 1.053038892133577\n",
      "Day -7 C1_School closing -3.779762110230209\n",
      "Day -7 C2_Workplace closing -0.5526839395113888\n",
      "Day -7 C3_Cancel public events -1.431458230546585\n",
      "Day -7 C4_Restrictions on gatherings -1.7276660669308723\n",
      "Day -7 C5_Close public transport 2.63943352737565\n",
      "Day -7 C6_Stay at home requirements 11.77738122474882\n",
      "Day -7 C7_Restrictions on internal movement -11.582371063914898\n",
      "Day -7 C8_International travel controls 1.487110910782265\n",
      "Day -7 H1_Public information campaigns 1.7347760399651195\n",
      "Day -7 H2_Testing policy 1.4811664407405105\n",
      "Day -7 H3_Contact tracing 7.450290699422021\n",
      "Day -7 H6_Facial Coverings 2.0026991561993874\n",
      "Day -6 C1_School closing -6.005636947144276\n",
      "Day -6 C2_Workplace closing -3.511468476646599\n",
      "Day -6 C3_Cancel public events -10.487589404346515\n",
      "Day -6 C4_Restrictions on gatherings 3.185081446698217\n",
      "Day -6 C5_Close public transport 11.440020266686405\n",
      "Day -6 C6_Stay at home requirements 7.07604518869584\n",
      "Day -6 C7_Restrictions on internal movement -16.55603016445517\n",
      "Day -6 C8_International travel controls -1.6631147864968912\n",
      "Day -6 H1_Public information campaigns -0.14754164166012645\n",
      "Day -6 H2_Testing policy -1.7336156295129959\n",
      "Day -6 H3_Contact tracing -1.4219709143051127\n",
      "Day -6 H6_Facial Coverings -3.478582939984597\n",
      "Day -5 C1_School closing -1.2866238976542317\n",
      "Day -5 C2_Workplace closing 4.370486512496506\n",
      "Day -5 C3_Cancel public events 6.98952243477724\n",
      "Day -5 C4_Restrictions on gatherings -2.4720125336300667\n",
      "Day -5 C5_Close public transport -4.125230015352483\n",
      "Day -5 C6_Stay at home requirements -3.7360362250748014\n",
      "Day -5 C7_Restrictions on internal movement 10.767693412227722\n",
      "Day -5 C8_International travel controls -2.129329524419569\n",
      "Day -5 H1_Public information campaigns 0.45467409506271467\n",
      "Day -5 H2_Testing policy -2.871309404168324\n",
      "Day -5 H3_Contact tracing -0.5254625929885409\n",
      "Day -5 H6_Facial Coverings -2.904273589925665\n",
      "Day -4 C1_School closing 6.0923324447259395\n",
      "Day -4 C2_Workplace closing 1.6711895485076023\n",
      "Day -4 C3_Cancel public events 15.574541671009452\n",
      "Day -4 C4_Restrictions on gatherings -5.232694958686862\n",
      "Day -4 C5_Close public transport -3.9451366058886608\n",
      "Day -4 C6_Stay at home requirements -8.538853172383753\n",
      "Day -4 C7_Restrictions on internal movement 20.117200769588777\n",
      "Day -4 C8_International travel controls 1.1289756541684646\n",
      "Day -4 H1_Public information campaigns -1.9473429924972605\n",
      "Day -4 H2_Testing policy 4.643015920095707\n",
      "Day -4 H3_Contact tracing -3.5734732920997083\n",
      "Day -4 H6_Facial Coverings 0.6944315106056743\n",
      "Day -3 C1_School closing 9.361974234336957\n",
      "Day -3 C2_Workplace closing -0.4951019183950937\n",
      "Day -3 C3_Cancel public events -5.416830530935318\n",
      "Day -3 C4_Restrictions on gatherings 1.9582162683078992\n",
      "Day -3 C5_Close public transport -0.039371137113031224\n",
      "Day -3 C6_Stay at home requirements -0.45271947602944584\n",
      "Day -3 C7_Restrictions on internal movement -0.7442461988897867\n",
      "Day -3 C8_International travel controls -0.7780226266489934\n",
      "Day -3 H1_Public information campaigns -2.255965930783957\n",
      "Day -3 H2_Testing policy 0.45065242484169354\n",
      "Day -3 H3_Contact tracing -1.632453809496109\n",
      "Day -3 H6_Facial Coverings 0.29362816728207075\n",
      "Day -2 C1_School closing -0.05527378367802487\n",
      "Day -2 C2_Workplace closing -1.400227463357017\n",
      "Day -2 C3_Cancel public events -13.373598444141416\n",
      "Day -2 C4_Restrictions on gatherings 4.132382588465018\n",
      "Day -2 C5_Close public transport -4.008083146744608\n",
      "Day -2 C6_Stay at home requirements 9.919883576823798\n",
      "Day -2 C7_Restrictions on internal movement -17.74427375907435\n",
      "Day -2 C8_International travel controls 1.0985749624228176\n",
      "Day -2 H1_Public information campaigns -0.06134526972709381\n",
      "Day -2 H2_Testing policy -5.770762230144556\n",
      "Day -2 H3_Contact tracing 5.876751910060523\n",
      "Day -2 H6_Facial Coverings 1.1624509905176552\n",
      "Day -1 C1_School closing -8.794008751660552\n",
      "Day -1 C2_Workplace closing -1.0410174896145201\n",
      "Day -1 C3_Cancel public events 7.6597451707113695\n",
      "Day -1 C4_Restrictions on gatherings -1.7814001629848883\n",
      "Day -1 C5_Close public transport 3.233534158929038\n",
      "Day -1 C6_Stay at home requirements -5.56321421546696\n",
      "Day -1 C7_Restrictions on internal movement 3.10400603000622\n",
      "Day -1 C8_International travel controls 1.0347041525224072\n",
      "Day -1 H1_Public information campaigns -0.4282241257936361\n",
      "Day -1 H2_Testing policy 2.813812476990193\n",
      "Day -1 H3_Contact tracing -2.757515815238416\n",
      "Day -1 H6_Facial Coverings -1.0880168943780355\n",
      "Day 0 C1_School closing -1.2104165502727728\n",
      "Day 0 C2_Workplace closing 0.35991273488072123\n",
      "Day 0 C3_Cancel public events 0.04815469403542204\n",
      "Day 0 C4_Restrictions on gatherings 0.12735376888229\n",
      "Day 0 C5_Close public transport -0.22730170677287875\n",
      "Day 0 C6_Stay at home requirements -2.2933644724716267\n",
      "Day 0 C7_Restrictions on internal movement 0.6585680591410726\n",
      "Day 0 C8_International travel controls 0.020600172684262657\n",
      "Day 0 H1_Public information campaigns 0.03950209314094064\n",
      "Day 0 H2_Testing policy -0.3071511412463326\n",
      "Day 0 H3_Contact tracing -0.18373483962435005\n",
      "Day 0 H6_Facial Coverings 0.04372515570286234\n",
      "Day -20 retail_and_recreation_percent_change_from_baseline -0.06079672154662858\n",
      "Day -20 grocery_and_pharmacy_percent_change_from_baseline -0.04987585467881801\n",
      "Day -20 parks_percent_change_from_baseline -0.049218783826267425\n",
      "Day -20 transit_stations_percent_change_from_baseline 0.03896131920126923\n",
      "Day -20 workplaces_percent_change_from_baseline 0.46618528650503727\n",
      "Day -20 residential_percent_change_from_baseline 1.443306749566494\n",
      "Day -19 retail_and_recreation_percent_change_from_baseline -0.36930149119516725\n",
      "Day -19 grocery_and_pharmacy_percent_change_from_baseline 0.010777684543659129\n",
      "Day -19 parks_percent_change_from_baseline -0.11812799586870149\n",
      "Day -19 transit_stations_percent_change_from_baseline 0.5481680365734509\n",
      "Day -19 workplaces_percent_change_from_baseline 0.07630921304275796\n",
      "Day -19 residential_percent_change_from_baseline -0.3866324791783912\n",
      "Day -18 retail_and_recreation_percent_change_from_baseline 0.11475811059569405\n",
      "Day -18 grocery_and_pharmacy_percent_change_from_baseline -0.11318205101494373\n",
      "Day -18 parks_percent_change_from_baseline -0.0006963412067847757\n",
      "Day -18 transit_stations_percent_change_from_baseline 0.22920043131405135\n",
      "Day -18 workplaces_percent_change_from_baseline 0.02815569067830615\n",
      "Day -18 residential_percent_change_from_baseline 0.6389857149913877\n",
      "Day -17 retail_and_recreation_percent_change_from_baseline -0.15110767411071752\n",
      "Day -17 grocery_and_pharmacy_percent_change_from_baseline 0.015046893450280121\n",
      "Day -17 parks_percent_change_from_baseline 0.09541889194610895\n",
      "Day -17 transit_stations_percent_change_from_baseline -0.44205994320241343\n",
      "Day -17 workplaces_percent_change_from_baseline 0.18335297242797402\n",
      "Day -17 residential_percent_change_from_baseline 0.5969343338217935\n",
      "Day -16 retail_and_recreation_percent_change_from_baseline -0.5535962276127757\n",
      "Day -16 grocery_and_pharmacy_percent_change_from_baseline 0.07537855620293801\n",
      "Day -16 parks_percent_change_from_baseline 0.04872680000794101\n",
      "Day -16 transit_stations_percent_change_from_baseline 0.08062046702415618\n",
      "Day -16 workplaces_percent_change_from_baseline -0.11100055970902171\n",
      "Day -16 residential_percent_change_from_baseline -1.054068797042327\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 1.0927687517789997\n",
      "Day -15 grocery_and_pharmacy_percent_change_from_baseline -0.6624010506702231\n",
      "Day -15 parks_percent_change_from_baseline -0.021784650602465642\n",
      "Day -15 transit_stations_percent_change_from_baseline 0.4624559036711059\n",
      "Day -15 workplaces_percent_change_from_baseline -0.2452513937027618\n",
      "Day -15 residential_percent_change_from_baseline -0.5707864709041731\n",
      "Day -14 retail_and_recreation_percent_change_from_baseline -0.6523100244367249\n",
      "Day -14 grocery_and_pharmacy_percent_change_from_baseline -0.17789202272296484\n",
      "Day -14 parks_percent_change_from_baseline -0.0147540725552445\n",
      "Day -14 transit_stations_percent_change_from_baseline 0.15419351227883585\n",
      "Day -14 workplaces_percent_change_from_baseline 0.6431740038199416\n",
      "Day -14 residential_percent_change_from_baseline -0.07462781991454291\n",
      "Day -13 retail_and_recreation_percent_change_from_baseline -1.8322223375360123\n",
      "Day -13 grocery_and_pharmacy_percent_change_from_baseline 0.7147152570373734\n",
      "Day -13 parks_percent_change_from_baseline 0.07210977087439498\n",
      "Day -13 transit_stations_percent_change_from_baseline -0.1459894772063167\n",
      "Day -13 workplaces_percent_change_from_baseline 0.934742169021715\n",
      "Day -13 residential_percent_change_from_baseline 1.4095798640728523\n",
      "Day -12 retail_and_recreation_percent_change_from_baseline -0.10559822821672035\n",
      "Day -12 grocery_and_pharmacy_percent_change_from_baseline 0.3128749407031635\n",
      "Day -12 parks_percent_change_from_baseline 0.0729541810736224\n",
      "Day -12 transit_stations_percent_change_from_baseline -0.1767063164651671\n",
      "Day -12 workplaces_percent_change_from_baseline -0.11257936870173357\n",
      "Day -12 residential_percent_change_from_baseline -0.25753024717217576\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 1.2690959401370512\n",
      "Day -11 grocery_and_pharmacy_percent_change_from_baseline -0.22290998076387317\n",
      "Day -11 parks_percent_change_from_baseline -0.05126821151901768\n",
      "Day -11 transit_stations_percent_change_from_baseline -0.1994871819426404\n",
      "Day -11 workplaces_percent_change_from_baseline -0.7694435090795088\n",
      "Day -11 residential_percent_change_from_baseline -1.9488102092566282\n",
      "Day -10 retail_and_recreation_percent_change_from_baseline 1.3166449564688352\n",
      "Day -10 grocery_and_pharmacy_percent_change_from_baseline -0.01070798382702864\n",
      "Day -10 parks_percent_change_from_baseline -0.03019413777734022\n",
      "Day -10 transit_stations_percent_change_from_baseline 0.14082776914291212\n",
      "Day -10 workplaces_percent_change_from_baseline -0.41787108337391937\n",
      "Day -10 residential_percent_change_from_baseline 0.5428007720976145\n",
      "Day -9 retail_and_recreation_percent_change_from_baseline 0.7736864078091819\n",
      "Day -9 grocery_and_pharmacy_percent_change_from_baseline -0.01666556603133275\n",
      "Day -9 parks_percent_change_from_baseline -0.044261958518301385\n",
      "Day -9 transit_stations_percent_change_from_baseline -0.013203623521256471\n",
      "Day -9 workplaces_percent_change_from_baseline -0.18115425548176023\n",
      "Day -9 residential_percent_change_from_baseline 1.3852321970999986\n",
      "Day -8 retail_and_recreation_percent_change_from_baseline -0.2198055707933316\n",
      "Day -8 grocery_and_pharmacy_percent_change_from_baseline 0.17018896396562022\n",
      "Day -8 parks_percent_change_from_baseline -0.002708567196369051\n",
      "Day -8 transit_stations_percent_change_from_baseline -0.2796916857069922\n",
      "Day -8 workplaces_percent_change_from_baseline 0.13704168228690977\n",
      "Day -8 residential_percent_change_from_baseline 2.262764200989935\n",
      "Day -7 retail_and_recreation_percent_change_from_baseline -0.23700982753394378\n",
      "Day -7 grocery_and_pharmacy_percent_change_from_baseline 0.2828637299238435\n",
      "Day -7 parks_percent_change_from_baseline -0.012084745989187642\n",
      "Day -7 transit_stations_percent_change_from_baseline 0.11761822570900621\n",
      "Day -7 workplaces_percent_change_from_baseline -0.46169120830112764\n",
      "Day -7 residential_percent_change_from_baseline -0.5683367121919742\n",
      "Day -6 retail_and_recreation_percent_change_from_baseline 1.7287617961974933\n",
      "Day -6 grocery_and_pharmacy_percent_change_from_baseline -0.5570831582884896\n",
      "Day -6 parks_percent_change_from_baseline -0.030515477545346736\n",
      "Day -6 transit_stations_percent_change_from_baseline -0.22772965514144597\n",
      "Day -6 workplaces_percent_change_from_baseline -1.1895172098288083\n",
      "Day -6 residential_percent_change_from_baseline -2.4005122085358934\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.41196746305256277\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline -0.3378181484170928\n",
      "Day -5 parks_percent_change_from_baseline 0.046163843220882024\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.70503513433577\n",
      "Day -5 workplaces_percent_change_from_baseline -0.036164879411678855\n",
      "Day -5 residential_percent_change_from_baseline -0.17538690017815417\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline -0.7879869634308765\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline 0.0990035168073387\n",
      "Day -4 parks_percent_change_from_baseline 0.10059665553837109\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.20396676777024011\n",
      "Day -4 workplaces_percent_change_from_baseline 0.543712630671241\n",
      "Day -4 residential_percent_change_from_baseline 0.1697332939123727\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -1.6065904472905557\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.23334336286684793\n",
      "Day -3 parks_percent_change_from_baseline -0.15557823984761354\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.8918176440135465\n",
      "Day -3 workplaces_percent_change_from_baseline 0.6561584745025063\n",
      "Day -3 residential_percent_change_from_baseline 0.012830153279704656\n",
      "Starting Predicting...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Training...\n",
      "Day -30 NewConfirmedCases_7davg -0.2059487741117893\n",
      "Day -29 NewConfirmedCases_7davg 0.3670525479216735\n",
      "Day -28 NewConfirmedCases_7davg 0.02684328879787278\n",
      "Day -27 NewConfirmedCases_7davg -0.20342903625453748\n",
      "Day -26 NewConfirmedCases_7davg 0.05802751689538225\n",
      "Day -25 NewConfirmedCases_7davg -0.08202492066384535\n",
      "Day -24 NewConfirmedCases_7davg -0.05019128338340194\n",
      "Day -23 NewConfirmedCases_7davg -0.22048656288436147\n",
      "Day -22 NewConfirmedCases_7davg 0.6777151216034422\n",
      "Day -21 NewConfirmedCases_7davg 0.040265481891531126\n",
      "Day -20 NewConfirmedCases_7davg -0.40581945440538075\n",
      "Day -19 NewConfirmedCases_7davg -0.15702768899050848\n",
      "Day -18 NewConfirmedCases_7davg 0.01652044889949414\n",
      "Day -17 NewConfirmedCases_7davg 0.036014746729438114\n",
      "Day -16 NewConfirmedCases_7davg -0.25408180600005287\n",
      "Day -15 NewConfirmedCases_7davg 0.843169819297356\n",
      "Day -14 NewConfirmedCases_7davg 0.027053556016318515\n",
      "Day -13 NewConfirmedCases_7davg -0.611000322882751\n",
      "Day -12 NewConfirmedCases_7davg -0.2238984219166738\n",
      "Day -11 NewConfirmedCases_7davg -0.026714402528254636\n",
      "Day -10 NewConfirmedCases_7davg 0.08218164311614615\n",
      "Day -9 NewConfirmedCases_7davg -0.004880220700624023\n",
      "Day -8 NewConfirmedCases_7davg 0.9701663463041462\n",
      "Day -7 NewConfirmedCases_7davg -0.1626120932463988\n",
      "Day -6 NewConfirmedCases_7davg -0.7602717503431303\n",
      "Day -5 NewConfirmedCases_7davg -0.2809396131400675\n",
      "Day -4 NewConfirmedCases_7davg 0.031774897276338525\n",
      "Day -3 NewConfirmedCases_7davg 0.05885533303867688\n",
      "Day -2 NewConfirmedCases_7davg -0.10310339724995096\n",
      "Day -1 NewConfirmedCases_7davg 1.5166064879928034\n",
      "Day -30 C1_School closing -2.0273899764976013\n",
      "Day -30 C2_Workplace closing -2.6367950311947723\n",
      "Day -30 C3_Cancel public events 10.66475952523809\n",
      "Day -30 C4_Restrictions on gatherings -4.063818853376627\n",
      "Day -30 C5_Close public transport -1.115826089410874\n",
      "Day -30 C6_Stay at home requirements 2.5797519848083548\n",
      "Day -30 C7_Restrictions on internal movement 2.614208786325328\n",
      "Day -30 C8_International travel controls -1.9926251705044433\n",
      "Day -30 H1_Public information campaigns 4.016389007791796\n",
      "Day -30 H2_Testing policy 3.6606964506070168\n",
      "Day -30 H3_Contact tracing 6.407357837932774\n",
      "Day -30 H6_Facial Coverings -2.898099590264292\n",
      "Day -29 C1_School closing 4.518417597517647\n",
      "Day -29 C2_Workplace closing 7.666333183411125\n",
      "Day -29 C3_Cancel public events -18.608896492135976\n",
      "Day -29 C4_Restrictions on gatherings 2.574503715044099\n",
      "Day -29 C5_Close public transport -5.0771828014652245\n",
      "Day -29 C6_Stay at home requirements 7.154898630406022\n",
      "Day -29 C7_Restrictions on internal movement -11.781723692127413\n",
      "Day -29 C8_International travel controls 1.2919350358990243\n",
      "Day -29 H1_Public information campaigns 0.006855740253236366\n",
      "Day -29 H2_Testing policy 0.18742706075172375\n",
      "Day -29 H3_Contact tracing -6.801870653015702\n",
      "Day -29 H6_Facial Coverings -1.331403614470467\n",
      "Day -28 C1_School closing 5.537155861589303\n",
      "Day -28 C2_Workplace closing -5.443146354526452\n",
      "Day -28 C3_Cancel public events 11.861015173458837\n",
      "Day -28 C4_Restrictions on gatherings -1.3881903149274017\n",
      "Day -28 C5_Close public transport 7.147376511348245\n",
      "Day -28 C6_Stay at home requirements -10.456698387923124\n",
      "Day -28 C7_Restrictions on internal movement 1.8692084190888318\n",
      "Day -28 C8_International travel controls -0.6948667183042979\n",
      "Day -28 H1_Public information campaigns -7.192608632033346\n",
      "Day -28 H2_Testing policy 3.0420462047935044\n",
      "Day -28 H3_Contact tracing 1.033019859976673\n",
      "Day -28 H6_Facial Coverings 6.4832905873045785\n",
      "Day -27 C1_School closing 0.38925603620708277\n",
      "Day -27 C2_Workplace closing 14.270377437600366\n",
      "Day -27 C3_Cancel public events 8.21192814067465\n",
      "Day -27 C4_Restrictions on gatherings -7.573023628773177\n",
      "Day -27 C5_Close public transport -0.3786788658621722\n",
      "Day -27 C6_Stay at home requirements 2.44943189504829\n",
      "Day -27 C7_Restrictions on internal movement 11.175356015916611\n",
      "Day -27 C8_International travel controls 6.887642095395706\n",
      "Day -27 H1_Public information campaigns -0.48893788283086054\n",
      "Day -27 H2_Testing policy -15.349816949419646\n",
      "Day -27 H3_Contact tracing 1.307199142126724\n",
      "Day -27 H6_Facial Coverings -0.7761917966733297\n",
      "Day -26 C1_School closing -7.181221001792418\n",
      "Day -26 C2_Workplace closing -4.748631249204311\n",
      "Day -26 C3_Cancel public events 2.535038781549528\n",
      "Day -26 C4_Restrictions on gatherings -0.5000113110186604\n",
      "Day -26 C5_Close public transport -8.74211983633808\n",
      "Day -26 C6_Stay at home requirements 3.940179107528487\n",
      "Day -26 C7_Restrictions on internal movement 1.3963419468014517\n",
      "Day -26 C8_International travel controls 0.40816474988229495\n",
      "Day -26 H1_Public information campaigns 2.427279561063124\n",
      "Day -26 H2_Testing policy -2.9188349393261244\n",
      "Day -26 H3_Contact tracing -9.273810254409\n",
      "Day -26 H6_Facial Coverings -6.91300424287418\n",
      "Day -25 C1_School closing 1.108793944175813\n",
      "Day -25 C2_Workplace closing -16.74956192924569\n",
      "Day -25 C3_Cancel public events -14.00817772234555\n",
      "Day -25 C4_Restrictions on gatherings 9.672030081651325\n",
      "Day -25 C5_Close public transport 12.16856810315401\n",
      "Day -25 C6_Stay at home requirements -20.408558104439347\n",
      "Day -25 C7_Restrictions on internal movement -11.573691495596368\n",
      "Day -25 C8_International travel controls -4.123000734362252\n",
      "Day -25 H1_Public information campaigns 1.6076142910385538\n",
      "Day -25 H2_Testing policy 12.882106212184082\n",
      "Day -25 H3_Contact tracing -5.878291178783366\n",
      "Day -25 H6_Facial Coverings 0.3868638032102902\n",
      "Day -24 C1_School closing 5.12232691658986\n",
      "Day -24 C2_Workplace closing 3.7262536898148406\n",
      "Day -24 C3_Cancel public events -16.509082487567827\n",
      "Day -24 C4_Restrictions on gatherings 7.783953268320292\n",
      "Day -24 C5_Close public transport 3.854936882992957\n",
      "Day -24 C6_Stay at home requirements -8.093930192647534\n",
      "Day -24 C7_Restrictions on internal movement -8.589935945245772\n",
      "Day -24 C8_International travel controls -0.5889457086225722\n",
      "Day -24 H1_Public information campaigns -2.504590037746053\n",
      "Day -24 H2_Testing policy -3.678426076237613\n",
      "Day -24 H3_Contact tracing 5.424537702688614\n",
      "Day -24 H6_Facial Coverings 0.7015884683662257\n",
      "Day -23 C1_School closing -0.6786243149771113\n",
      "Day -23 C2_Workplace closing -0.817071381154825\n",
      "Day -23 C3_Cancel public events 6.456445983038798\n",
      "Day -23 C4_Restrictions on gatherings 1.6921915744228917\n",
      "Day -23 C5_Close public transport -10.374465378139861\n",
      "Day -23 C6_Stay at home requirements 19.560275320771193\n",
      "Day -23 C7_Restrictions on internal movement -0.8228237737016204\n",
      "Day -23 C8_International travel controls 0.5413455983339586\n",
      "Day -23 H1_Public information campaigns -1.8331062495275607\n",
      "Day -23 H2_Testing policy -5.589562579675593\n",
      "Day -23 H3_Contact tracing 5.652806588740403\n",
      "Day -23 H6_Facial Coverings 1.6074175479424266\n",
      "Day -22 C1_School closing 0.911389494013272\n",
      "Day -22 C2_Workplace closing -2.113436115934746\n",
      "Day -22 C3_Cancel public events 11.413876416552318\n",
      "Day -22 C4_Restrictions on gatherings -9.655979380764979\n",
      "Day -22 C5_Close public transport 2.97716348960629\n",
      "Day -22 C6_Stay at home requirements 15.521594617030098\n",
      "Day -22 C7_Restrictions on internal movement 18.065713008630418\n",
      "Day -22 C8_International travel controls -0.02206388001005968\n",
      "Day -22 H1_Public information campaigns 1.5344240466157315\n",
      "Day -22 H2_Testing policy 1.6068140037951921\n",
      "Day -22 H3_Contact tracing -5.334360152812078\n",
      "Day -22 H6_Facial Coverings -1.1775566017518886\n",
      "Day -21 C1_School closing -3.3233386465744927\n",
      "Day -21 C2_Workplace closing -4.420181188233113\n",
      "Day -21 C3_Cancel public events 0.6492131486138906\n",
      "Day -21 C4_Restrictions on gatherings -2.3298817576610267\n",
      "Day -21 C5_Close public transport -0.07017483143909219\n",
      "Day -21 C6_Stay at home requirements -0.5775913173805756\n",
      "Day -21 C7_Restrictions on internal movement 6.823119745712557\n",
      "Day -21 C8_International travel controls -0.18685551273281448\n",
      "Day -21 H1_Public information campaigns -3.520371855608657\n",
      "Day -21 H2_Testing policy 2.8934107330161125\n",
      "Day -21 H3_Contact tracing 3.3541438566016755\n",
      "Day -21 H6_Facial Coverings 0.4017081896500559\n",
      "Day -20 C1_School closing 5.4148999031071865\n",
      "Day -20 C2_Workplace closing 5.052412201149303\n",
      "Day -20 C3_Cancel public events -3.0558060188508236\n",
      "Day -20 C4_Restrictions on gatherings 3.1936273230415155\n",
      "Day -20 C5_Close public transport -7.002555615295823\n",
      "Day -20 C6_Stay at home requirements -10.701531643835148\n",
      "Day -20 C7_Restrictions on internal movement -8.984825319681441\n",
      "Day -20 C8_International travel controls -1.0042677925243995\n",
      "Day -20 H1_Public information campaigns 1.0657972133684175\n",
      "Day -20 H2_Testing policy 3.9946558360205504\n",
      "Day -20 H3_Contact tracing -0.72905490448982\n",
      "Day -20 H6_Facial Coverings 4.081555212067191\n",
      "Day -19 C1_School closing 4.261175687831018\n",
      "Day -19 C2_Workplace closing 10.477364135906804\n",
      "Day -19 C3_Cancel public events 1.5453600061934196\n",
      "Day -19 C4_Restrictions on gatherings 0.7566363573166112\n",
      "Day -19 C5_Close public transport 4.961082197010032\n",
      "Day -19 C6_Stay at home requirements -34.5644459745929\n",
      "Day -19 C7_Restrictions on internal movement 12.234936443687861\n",
      "Day -19 C8_International travel controls -1.2451813238012004\n",
      "Day -19 H1_Public information campaigns 5.325140731260168\n",
      "Day -19 H2_Testing policy 2.9191846824242806\n",
      "Day -19 H3_Contact tracing -3.706466163834328\n",
      "Day -19 H6_Facial Coverings -1.5368956280978023\n",
      "Day -18 C1_School closing -6.11363839673562\n",
      "Day -18 C2_Workplace closing -10.00022664733712\n",
      "Day -18 C3_Cancel public events 2.567484124678986\n",
      "Day -18 C4_Restrictions on gatherings -0.13285447402634235\n",
      "Day -18 C5_Close public transport 2.324269361813939\n",
      "Day -18 C6_Stay at home requirements 17.329688209804637\n",
      "Day -18 C7_Restrictions on internal movement -6.099878072409793\n",
      "Day -18 C8_International travel controls -2.6428611594877394\n",
      "Day -18 H1_Public information campaigns 3.6668075725738634\n",
      "Day -18 H2_Testing policy 0.7416668558886207\n",
      "Day -18 H3_Contact tracing 1.3204283993463495\n",
      "Day -18 H6_Facial Coverings -1.334627898514031\n",
      "Day -17 C1_School closing 1.0422281920893395\n",
      "Day -17 C2_Workplace closing -4.871930184816595\n",
      "Day -17 C3_Cancel public events -10.371327759276605\n",
      "Day -17 C4_Restrictions on gatherings 1.7589512590061296\n",
      "Day -17 C5_Close public transport -2.92176163815685\n",
      "Day -17 C6_Stay at home requirements 32.12516927696275\n",
      "Day -17 C7_Restrictions on internal movement -16.227630525444713\n",
      "Day -17 C8_International travel controls -0.3214461382828435\n",
      "Day -17 H1_Public information campaigns 4.822961945541709\n",
      "Day -17 H2_Testing policy -0.8811809242284528\n",
      "Day -17 H3_Contact tracing -0.853657546363682\n",
      "Day -17 H6_Facial Coverings 0.5177508159769935\n",
      "Day -16 C1_School closing -0.0901370109983817\n",
      "Day -16 C2_Workplace closing 4.820886936059141\n",
      "Day -16 C3_Cancel public events 7.614146270449544\n",
      "Day -16 C4_Restrictions on gatherings -3.249237184952776\n",
      "Day -16 C5_Close public transport -0.5057199073553742\n",
      "Day -16 C6_Stay at home requirements -10.267779989240735\n",
      "Day -16 C7_Restrictions on internal movement 14.113729247540785\n",
      "Day -16 C8_International travel controls 1.8333274798912822\n",
      "Day -16 H1_Public information campaigns -1.0218849269396841\n",
      "Day -16 H2_Testing policy 1.1971929837649853\n",
      "Day -16 H3_Contact tracing -0.4623794121863102\n",
      "Day -16 H6_Facial Coverings -2.1764749853721805\n",
      "Day -15 C1_School closing -5.606568087516688\n",
      "Day -15 C2_Workplace closing 6.3388472995828975\n",
      "Day -15 C3_Cancel public events 7.162676875560274\n",
      "Day -15 C4_Restrictions on gatherings 0.438331548549389\n",
      "Day -15 C5_Close public transport -1.5304813259231138\n",
      "Day -15 C6_Stay at home requirements -10.762853997230485\n",
      "Day -15 C7_Restrictions on internal movement 4.1252282411799825\n",
      "Day -15 C8_International travel controls 2.0235889557057147\n",
      "Day -15 H1_Public information campaigns -4.728421170066445\n",
      "Day -15 H2_Testing policy -1.8354760897549356\n",
      "Day -15 H3_Contact tracing 4.115663379691196\n",
      "Day -15 H6_Facial Coverings 4.282306503490424\n",
      "Day -14 C1_School closing -1.681687854880377\n",
      "Day -14 C2_Workplace closing 6.993284213370622\n",
      "Day -14 C3_Cancel public events -12.410115008606668\n",
      "Day -14 C4_Restrictions on gatherings 3.7543675825719895\n",
      "Day -14 C5_Close public transport 2.4014645441305733\n",
      "Day -14 C6_Stay at home requirements 2.250156557439522\n",
      "Day -14 C7_Restrictions on internal movement -8.89373509526729\n",
      "Day -14 C8_International travel controls 2.6327121241006495\n",
      "Day -14 H1_Public information campaigns -1.4348016354700468\n",
      "Day -14 H2_Testing policy 1.1534856724456977\n",
      "Day -14 H3_Contact tracing 5.425660721580043\n",
      "Day -14 H6_Facial Coverings 5.3967464255705515\n",
      "Day -13 C1_School closing 2.9287438290611076\n",
      "Day -13 C2_Workplace closing -4.231481077446596\n",
      "Day -13 C3_Cancel public events -0.3832871007290286\n",
      "Day -13 C4_Restrictions on gatherings -2.496057741901903\n",
      "Day -13 C5_Close public transport 1.0091740094220887\n",
      "Day -13 C6_Stay at home requirements 5.689755763270895\n",
      "Day -13 C7_Restrictions on internal movement -0.17914410617173884\n",
      "Day -13 C8_International travel controls -3.304043038530521\n",
      "Day -13 H1_Public information campaigns 3.394436497094271\n",
      "Day -13 H2_Testing policy -2.94221965490174\n",
      "Day -13 H3_Contact tracing -0.5248221990299449\n",
      "Day -13 H6_Facial Coverings -4.512005177080553\n",
      "Day -12 C1_School closing -3.343719783431635\n",
      "Day -12 C2_Workplace closing -5.079423680151775\n",
      "Day -12 C3_Cancel public events -3.897918942204213\n",
      "Day -12 C4_Restrictions on gatherings 5.2988999955653036\n",
      "Day -12 C5_Close public transport 5.773620301871934\n",
      "Day -12 C6_Stay at home requirements 7.038954226629404\n",
      "Day -12 C7_Restrictions on internal movement -9.881686871068991\n",
      "Day -12 C8_International travel controls -1.1650554186719235\n",
      "Day -12 H1_Public information campaigns 1.5580473955075247\n",
      "Day -12 H2_Testing policy -2.5152602516126814\n",
      "Day -12 H3_Contact tracing -5.836979645463134\n",
      "Day -12 H6_Facial Coverings -3.9893934880801876\n",
      "Day -11 C1_School closing -1.076589832385575\n",
      "Day -11 C2_Workplace closing -10.912672852002803\n",
      "Day -11 C3_Cancel public events -5.746230234131278\n",
      "Day -11 C4_Restrictions on gatherings 2.973278072524009\n",
      "Day -11 C5_Close public transport 11.556317972531174\n",
      "Day -11 C6_Stay at home requirements -9.87940183455247\n",
      "Day -11 C7_Restrictions on internal movement -11.967090822544542\n",
      "Day -11 C8_International travel controls 1.9349161890585418\n",
      "Day -11 H1_Public information campaigns 1.3602236239054095\n",
      "Day -11 H2_Testing policy 3.0433876460940126\n",
      "Day -11 H3_Contact tracing -1.7656018069278232\n",
      "Day -11 H6_Facial Coverings 2.2739638435252347\n",
      "Day -10 C1_School closing 6.162517442032963\n",
      "Day -10 C2_Workplace closing -2.360995252401754\n",
      "Day -10 C3_Cancel public events 8.024296978420152\n",
      "Day -10 C4_Restrictions on gatherings -7.607398944310812\n",
      "Day -10 C5_Close public transport -3.798814734917188\n",
      "Day -10 C6_Stay at home requirements 13.655458099099938\n",
      "Day -10 C7_Restrictions on internal movement 2.8410704250309546\n",
      "Day -10 C8_International travel controls -1.3163274128577094\n",
      "Day -10 H1_Public information campaigns 0.30439459189940404\n",
      "Day -10 H2_Testing policy 0.40953555073596454\n",
      "Day -10 H3_Contact tracing -0.17602876704849407\n",
      "Day -10 H6_Facial Coverings 0.15956207341650225\n",
      "Day -9 C1_School closing 1.5622667717767607\n",
      "Day -9 C2_Workplace closing 13.42845560440703\n",
      "Day -9 C3_Cancel public events 4.906215963739787\n",
      "Day -9 C4_Restrictions on gatherings -0.6647038090523494\n",
      "Day -9 C5_Close public transport -15.666527655936612\n",
      "Day -9 C6_Stay at home requirements -11.665573409140313\n",
      "Day -9 C7_Restrictions on internal movement 25.634512465853\n",
      "Day -9 C8_International travel controls 0.6886344464369182\n",
      "Day -9 H1_Public information campaigns -3.3147771882614876\n",
      "Day -9 H2_Testing policy -5.01505953207472\n",
      "Day -9 H3_Contact tracing -1.198393017618061\n",
      "Day -9 H6_Facial Coverings -1.9757175466655712\n",
      "Day -8 C1_School closing -1.8235119544199307\n",
      "Day -8 C2_Workplace closing 3.292642037797413\n",
      "Day -8 C3_Cancel public events 0.23590783316556088\n",
      "Day -8 C4_Restrictions on gatherings 1.8276075918135106\n",
      "Day -8 C5_Close public transport -5.332011054607685\n",
      "Day -8 C6_Stay at home requirements -10.108374781069877\n",
      "Day -8 C7_Restrictions on internal movement 6.000464854486379\n",
      "Day -8 C8_International travel controls 0.06948883952964208\n",
      "Day -8 H1_Public information campaigns 0.9387525231219304\n",
      "Day -8 H2_Testing policy -0.21887404646014025\n",
      "Day -8 H3_Contact tracing 6.117302315141826\n",
      "Day -8 H6_Facial Coverings 1.9630044399853341\n",
      "Day -7 C1_School closing -2.4763918269458394\n",
      "Day -7 C2_Workplace closing -0.5976958040046486\n",
      "Day -7 C3_Cancel public events -0.8349321947444349\n",
      "Day -7 C4_Restrictions on gatherings -3.0907398192902273\n",
      "Day -7 C5_Close public transport 5.872449402840888\n",
      "Day -7 C6_Stay at home requirements 11.15241601381166\n",
      "Day -7 C7_Restrictions on internal movement -12.556436773265016\n",
      "Day -7 C8_International travel controls 0.6987887628474105\n",
      "Day -7 H1_Public information campaigns 2.1062244347115326\n",
      "Day -7 H2_Testing policy -1.0155181419626045\n",
      "Day -7 H3_Contact tracing 4.996075533066267\n",
      "Day -7 H6_Facial Coverings 2.123048875653825\n",
      "Day -6 C1_School closing -7.304325643659921\n",
      "Day -6 C2_Workplace closing -3.0134447447590365\n",
      "Day -6 C3_Cancel public events -14.47763709721163\n",
      "Day -6 C4_Restrictions on gatherings 4.127781931812025\n",
      "Day -6 C5_Close public transport 10.422409862267376\n",
      "Day -6 C6_Stay at home requirements 8.810047118361666\n",
      "Day -6 C7_Restrictions on internal movement -19.876285158116588\n",
      "Day -6 C8_International travel controls 0.18653963663278894\n",
      "Day -6 H1_Public information campaigns 0.44750147669509166\n",
      "Day -6 H2_Testing policy -3.241310947964749\n",
      "Day -6 H3_Contact tracing 0.5891576410026118\n",
      "Day -6 H6_Facial Coverings -3.235367018008845\n",
      "Day -5 C1_School closing -3.3197275645315147\n",
      "Day -5 C2_Workplace closing 2.552802265287114\n",
      "Day -5 C3_Cancel public events 6.768790805571199\n",
      "Day -5 C4_Restrictions on gatherings -0.2087708863195418\n",
      "Day -5 C5_Close public transport -4.808601684312739\n",
      "Day -5 C6_Stay at home requirements -2.8308141405930867\n",
      "Day -5 C7_Restrictions on internal movement 9.444388027207772\n",
      "Day -5 C8_International travel controls -1.4595356770002605\n",
      "Day -5 H1_Public information campaigns 0.23904123992018245\n",
      "Day -5 H2_Testing policy -0.06589535344307548\n",
      "Day -5 H3_Contact tracing 1.0435331152261047\n",
      "Day -5 H6_Facial Coverings -2.756669396037082\n",
      "Day -4 C1_School closing 7.225415992200975\n",
      "Day -4 C2_Workplace closing 3.315076718181219\n",
      "Day -4 C3_Cancel public events 18.265408134813196\n",
      "Day -4 C4_Restrictions on gatherings -5.696694406517887\n",
      "Day -4 C5_Close public transport -5.109736951000558\n",
      "Day -4 C6_Stay at home requirements -11.11005675417012\n",
      "Day -4 C7_Restrictions on internal movement 25.46230668513343\n",
      "Day -4 C8_International travel controls 0.24042153368730626\n",
      "Day -4 H1_Public information campaigns -2.135661976437833\n",
      "Day -4 H2_Testing policy 6.146639260665034\n",
      "Day -4 H3_Contact tracing -6.932004437334849\n",
      "Day -4 H6_Facial Coverings -0.15091239080452973\n",
      "Day -3 C1_School closing 8.628166237791222\n",
      "Day -3 C2_Workplace closing -1.2932202632124254\n",
      "Day -3 C3_Cancel public events -5.084779287915931\n",
      "Day -3 C4_Restrictions on gatherings 1.406200153627958\n",
      "Day -3 C5_Close public transport 1.949744891856301\n",
      "Day -3 C6_Stay at home requirements -1.9061741896362474\n",
      "Day -3 C7_Restrictions on internal movement -1.555880279139695\n",
      "Day -3 C8_International travel controls -0.6582766279052648\n",
      "Day -3 H1_Public information campaigns -2.3688388271287253\n",
      "Day -3 H2_Testing policy 0.3653997360837293\n",
      "Day -3 H3_Contact tracing -1.0651581850301741\n",
      "Day -3 H6_Facial Coverings 0.47602782930830123\n",
      "Day -2 C1_School closing -0.729319803509816\n",
      "Day -2 C2_Workplace closing -2.6280879706846427\n",
      "Day -2 C3_Cancel public events -13.987295153186576\n",
      "Day -2 C4_Restrictions on gatherings 3.871389330342354\n",
      "Day -2 C5_Close public transport -5.481010934911251\n",
      "Day -2 C6_Stay at home requirements 12.568814885762325\n",
      "Day -2 C7_Restrictions on internal movement -17.146895868841955\n",
      "Day -2 C8_International travel controls 1.0573924117932496\n",
      "Day -2 H1_Public information campaigns 0.32493170618406314\n",
      "Day -2 H2_Testing policy -6.148083370284851\n",
      "Day -2 H3_Contact tracing 7.448999676254325\n",
      "Day -2 H6_Facial Coverings 1.543731783422454\n",
      "Day -1 C1_School closing -8.041342927661015\n",
      "Day -1 C2_Workplace closing -0.12818020627581678\n",
      "Day -1 C3_Cancel public events 8.615103364328498\n",
      "Day -1 C4_Restrictions on gatherings -1.9870598615074837\n",
      "Day -1 C5_Close public transport 4.852117887850494\n",
      "Day -1 C6_Stay at home requirements -6.091263864447639\n",
      "Day -1 C7_Restrictions on internal movement 2.0400070579743854\n",
      "Day -1 C8_International travel controls 0.6542386622523769\n",
      "Day -1 H1_Public information campaigns -1.5672401573934625\n",
      "Day -1 H2_Testing policy 3.3333868476973367\n",
      "Day -1 H3_Contact tracing -2.8913130980705635\n",
      "Day -1 H6_Facial Coverings -0.5995528161337855\n",
      "Day 0 C1_School closing 0.9319423397941272\n",
      "Day 0 C2_Workplace closing -0.24851474680362806\n",
      "Day 0 C3_Cancel public events 0.12641292878418378\n",
      "Day 0 C4_Restrictions on gatherings -0.7276801340175615\n",
      "Day 0 C5_Close public transport -0.18513007748577312\n",
      "Day 0 C6_Stay at home requirements -0.540706186783117\n",
      "Day 0 C7_Restrictions on internal movement 0.9235301909599459\n",
      "Day 0 C8_International travel controls -0.2412468064273807\n",
      "Day 0 H1_Public information campaigns 0.012054481848001527\n",
      "Day 0 H2_Testing policy -0.6153877004516527\n",
      "Day 0 H3_Contact tracing -0.36067938860692345\n",
      "Day 0 H6_Facial Coverings -0.12398400623503315\n",
      "Day -30 retail_and_recreation_percent_change_from_baseline -0.08053128861805404\n",
      "Day -30 grocery_and_pharmacy_percent_change_from_baseline 0.33194530724657817\n",
      "Day -30 parks_percent_change_from_baseline 0.08668801529778145\n",
      "Day -30 transit_stations_percent_change_from_baseline -0.07919908762978663\n",
      "Day -30 workplaces_percent_change_from_baseline -0.10581561990968719\n",
      "Day -30 residential_percent_change_from_baseline 0.7766721481153991\n",
      "Day -29 retail_and_recreation_percent_change_from_baseline -0.6943114646990414\n",
      "Day -29 grocery_and_pharmacy_percent_change_from_baseline 0.5618672336216368\n",
      "Day -29 parks_percent_change_from_baseline 0.10736242857700944\n",
      "Day -29 transit_stations_percent_change_from_baseline 0.3148080710252592\n",
      "Day -29 workplaces_percent_change_from_baseline -0.2884057778642117\n",
      "Day -29 residential_percent_change_from_baseline -1.0346626797738203\n",
      "Day -28 retail_and_recreation_percent_change_from_baseline -0.218642289525314\n",
      "Day -28 grocery_and_pharmacy_percent_change_from_baseline 0.006712719367935079\n",
      "Day -28 parks_percent_change_from_baseline -0.06680045423508586\n",
      "Day -28 transit_stations_percent_change_from_baseline 0.3980687325849922\n",
      "Day -28 workplaces_percent_change_from_baseline -0.1749184555823379\n",
      "Day -28 residential_percent_change_from_baseline -1.363926642769751\n",
      "Day -27 retail_and_recreation_percent_change_from_baseline -0.7107138228708941\n",
      "Day -27 grocery_and_pharmacy_percent_change_from_baseline 0.016807966135806155\n",
      "Day -27 parks_percent_change_from_baseline -0.0005683542368812768\n",
      "Day -27 transit_stations_percent_change_from_baseline 0.46068310716959365\n",
      "Day -27 workplaces_percent_change_from_baseline 0.23761011139520177\n",
      "Day -27 residential_percent_change_from_baseline 0.4760220690597845\n",
      "Day -26 retail_and_recreation_percent_change_from_baseline -0.8763574365000946\n",
      "Day -26 grocery_and_pharmacy_percent_change_from_baseline 0.17865106921510715\n",
      "Day -26 parks_percent_change_from_baseline 0.08388163065136137\n",
      "Day -26 transit_stations_percent_change_from_baseline 1.005202618559541\n",
      "Day -26 workplaces_percent_change_from_baseline 0.10735786837442812\n",
      "Day -26 residential_percent_change_from_baseline 1.1685096503456962\n",
      "Day -25 retail_and_recreation_percent_change_from_baseline -1.1317088334036203\n",
      "Day -25 grocery_and_pharmacy_percent_change_from_baseline 0.3174620419509127\n",
      "Day -25 parks_percent_change_from_baseline 0.12138435344416515\n",
      "Day -25 transit_stations_percent_change_from_baseline 0.17163070871301755\n",
      "Day -25 workplaces_percent_change_from_baseline 0.29706342321209755\n",
      "Day -25 residential_percent_change_from_baseline 0.3559226441900214\n",
      "Day -24 retail_and_recreation_percent_change_from_baseline 0.47665391571175425\n",
      "Day -24 grocery_and_pharmacy_percent_change_from_baseline -0.16995913113170463\n",
      "Day -24 parks_percent_change_from_baseline 0.004216573568545698\n",
      "Day -24 transit_stations_percent_change_from_baseline -0.800466736499217\n",
      "Day -24 workplaces_percent_change_from_baseline 0.13216696333450886\n",
      "Day -24 residential_percent_change_from_baseline 0.7012486589210355\n",
      "Day -23 retail_and_recreation_percent_change_from_baseline 0.01100289784490289\n",
      "Day -23 grocery_and_pharmacy_percent_change_from_baseline -0.297932250095091\n",
      "Day -23 parks_percent_change_from_baseline -0.16864010963800352\n",
      "Day -23 transit_stations_percent_change_from_baseline 0.05414145210728933\n",
      "Day -23 workplaces_percent_change_from_baseline -0.18364337888685517\n",
      "Day -23 residential_percent_change_from_baseline -1.4914641010093608\n",
      "Day -22 retail_and_recreation_percent_change_from_baseline -0.30363474879225294\n",
      "Day -22 grocery_and_pharmacy_percent_change_from_baseline -0.06389008656489083\n",
      "Day -22 parks_percent_change_from_baseline -0.06931078545692983\n",
      "Day -22 transit_stations_percent_change_from_baseline 0.3689220048343913\n",
      "Day -22 workplaces_percent_change_from_baseline -0.28991427308483936\n",
      "Day -22 residential_percent_change_from_baseline -2.0154362579435587\n",
      "Day -21 retail_and_recreation_percent_change_from_baseline 0.635408492313424\n",
      "Day -21 grocery_and_pharmacy_percent_change_from_baseline 0.08479748305865711\n",
      "Day -21 parks_percent_change_from_baseline 0.014292979440538324\n",
      "Day -21 transit_stations_percent_change_from_baseline -0.38465373983280854\n",
      "Day -21 workplaces_percent_change_from_baseline 0.04505016854090199\n",
      "Day -21 residential_percent_change_from_baseline 0.7663800992042027\n",
      "Day -20 retail_and_recreation_percent_change_from_baseline 0.4407216245360107\n",
      "Day -20 grocery_and_pharmacy_percent_change_from_baseline 0.001449591046508256\n",
      "Day -20 parks_percent_change_from_baseline -0.07483996815802378\n",
      "Day -20 transit_stations_percent_change_from_baseline -0.33978139600679447\n",
      "Day -20 workplaces_percent_change_from_baseline 0.32422365234827316\n",
      "Day -20 residential_percent_change_from_baseline 0.8124374923815812\n",
      "Day -19 retail_and_recreation_percent_change_from_baseline 0.16617726120471965\n",
      "Day -19 grocery_and_pharmacy_percent_change_from_baseline -0.16833707318671756\n",
      "Day -19 parks_percent_change_from_baseline -0.15785308004267867\n",
      "Day -19 transit_stations_percent_change_from_baseline 0.1525063996415485\n",
      "Day -19 workplaces_percent_change_from_baseline -0.03308345491343544\n",
      "Day -19 residential_percent_change_from_baseline -0.3974660677310469\n",
      "Day -18 retail_and_recreation_percent_change_from_baseline -0.21997746384476766\n",
      "Day -18 grocery_and_pharmacy_percent_change_from_baseline 0.01990466469784121\n",
      "Day -18 parks_percent_change_from_baseline -0.0487094965774949\n",
      "Day -18 transit_stations_percent_change_from_baseline 0.6265949032168038\n",
      "Day -18 workplaces_percent_change_from_baseline -0.08958332204163903\n",
      "Day -18 residential_percent_change_from_baseline 0.8054102065252985\n",
      "Day -17 retail_and_recreation_percent_change_from_baseline -0.7528679568088656\n",
      "Day -17 grocery_and_pharmacy_percent_change_from_baseline 0.2075273199554481\n",
      "Day -17 parks_percent_change_from_baseline 0.08420911428185442\n",
      "Day -17 transit_stations_percent_change_from_baseline 0.09476966365866286\n",
      "Day -17 workplaces_percent_change_from_baseline 0.3289052411370999\n",
      "Day -17 residential_percent_change_from_baseline 0.4905947796640759\n",
      "Day -16 retail_and_recreation_percent_change_from_baseline -0.46016804506581005\n",
      "Day -16 grocery_and_pharmacy_percent_change_from_baseline 0.15630724125404988\n",
      "Day -16 parks_percent_change_from_baseline 0.047007373862093305\n",
      "Day -16 transit_stations_percent_change_from_baseline 0.044234672453572405\n",
      "Day -16 workplaces_percent_change_from_baseline 0.004618811050873576\n",
      "Day -16 residential_percent_change_from_baseline -0.8272195584885549\n",
      "Day -15 retail_and_recreation_percent_change_from_baseline 0.9748814817524694\n",
      "Day -15 grocery_and_pharmacy_percent_change_from_baseline -0.6268056299790006\n",
      "Day -15 parks_percent_change_from_baseline -0.028984108401749607\n",
      "Day -15 transit_stations_percent_change_from_baseline 0.15231165117799197\n",
      "Day -15 workplaces_percent_change_from_baseline 0.0017691272622315137\n",
      "Day -15 residential_percent_change_from_baseline -0.08295665135632947\n",
      "Day -14 retail_and_recreation_percent_change_from_baseline -0.659576691074931\n",
      "Day -14 grocery_and_pharmacy_percent_change_from_baseline -0.15859675930851527\n",
      "Day -14 parks_percent_change_from_baseline -0.027514363285172178\n",
      "Day -14 transit_stations_percent_change_from_baseline 0.10931817323928539\n",
      "Day -14 workplaces_percent_change_from_baseline 0.6456507173063449\n",
      "Day -14 residential_percent_change_from_baseline 0.2318273379671538\n",
      "Day -13 retail_and_recreation_percent_change_from_baseline -1.4762145702514018\n",
      "Day -13 grocery_and_pharmacy_percent_change_from_baseline 0.6560427316024581\n",
      "Day -13 parks_percent_change_from_baseline 0.041667368382847444\n",
      "Day -13 transit_stations_percent_change_from_baseline -0.21547618732399204\n",
      "Day -13 workplaces_percent_change_from_baseline 0.7460120697774087\n",
      "Day -13 residential_percent_change_from_baseline 0.9915995261174338\n",
      "Day -12 retail_and_recreation_percent_change_from_baseline 0.14061501774036492\n",
      "Day -12 grocery_and_pharmacy_percent_change_from_baseline 0.13355849233302974\n",
      "Day -12 parks_percent_change_from_baseline 0.0936335581939786\n",
      "Day -12 transit_stations_percent_change_from_baseline -0.33618411380625707\n",
      "Day -12 workplaces_percent_change_from_baseline -0.15091039738602255\n",
      "Day -12 residential_percent_change_from_baseline -0.3918435259043221\n",
      "Day -11 retail_and_recreation_percent_change_from_baseline 1.0241917974552608\n",
      "Day -11 grocery_and_pharmacy_percent_change_from_baseline -0.2319249894878911\n",
      "Day -11 parks_percent_change_from_baseline -0.04638350139937228\n",
      "Day -11 transit_stations_percent_change_from_baseline -0.05518887147024643\n",
      "Day -11 workplaces_percent_change_from_baseline -0.7637182506827842\n",
      "Day -11 residential_percent_change_from_baseline -1.9522629209495546\n",
      "Day -10 retail_and_recreation_percent_change_from_baseline 0.8249066335139517\n",
      "Day -10 grocery_and_pharmacy_percent_change_from_baseline 0.1549382817071102\n",
      "Day -10 parks_percent_change_from_baseline -0.02768003024260986\n",
      "Day -10 transit_stations_percent_change_from_baseline 0.3480538176641259\n",
      "Day -10 workplaces_percent_change_from_baseline -0.30858348320480156\n",
      "Day -10 residential_percent_change_from_baseline 0.2543117506561436\n",
      "Day -9 retail_and_recreation_percent_change_from_baseline 1.1027634946967457\n",
      "Day -9 grocery_and_pharmacy_percent_change_from_baseline -0.13480346438938706\n",
      "Day -9 parks_percent_change_from_baseline -0.014763933915171239\n",
      "Day -9 transit_stations_percent_change_from_baseline 0.042252818758099144\n",
      "Day -9 workplaces_percent_change_from_baseline -0.08242127278689097\n",
      "Day -9 residential_percent_change_from_baseline 1.5768750004417553\n",
      "Day -8 retail_and_recreation_percent_change_from_baseline -0.011666909123472208\n",
      "Day -8 grocery_and_pharmacy_percent_change_from_baseline -0.003700251200825718\n",
      "Day -8 parks_percent_change_from_baseline -0.0027251257135073766\n",
      "Day -8 transit_stations_percent_change_from_baseline -0.3296979072927091\n",
      "Day -8 workplaces_percent_change_from_baseline 0.219178442154974\n",
      "Day -8 residential_percent_change_from_baseline 2.464474490657852\n",
      "Day -7 retail_and_recreation_percent_change_from_baseline -0.23252837525454226\n",
      "Day -7 grocery_and_pharmacy_percent_change_from_baseline 0.2410546985263471\n",
      "Day -7 parks_percent_change_from_baseline -0.010313321440916137\n",
      "Day -7 transit_stations_percent_change_from_baseline -0.0778086034343147\n",
      "Day -7 workplaces_percent_change_from_baseline -0.45385850849548437\n",
      "Day -7 residential_percent_change_from_baseline -0.4454119936951799\n",
      "Day -6 retail_and_recreation_percent_change_from_baseline 1.7229782753982816\n",
      "Day -6 grocery_and_pharmacy_percent_change_from_baseline -0.5910552800979548\n",
      "Day -6 parks_percent_change_from_baseline -0.055869092595018634\n",
      "Day -6 transit_stations_percent_change_from_baseline -0.2394320048295912\n",
      "Day -6 workplaces_percent_change_from_baseline -1.1583679900522221\n",
      "Day -6 residential_percent_change_from_baseline -2.462559429188776\n",
      "Day -5 retail_and_recreation_percent_change_from_baseline 0.07236578533278189\n",
      "Day -5 grocery_and_pharmacy_percent_change_from_baseline -0.24589142553413101\n",
      "Day -5 parks_percent_change_from_baseline 0.04727266339039789\n",
      "Day -5 transit_stations_percent_change_from_baseline -0.6776839346177237\n",
      "Day -5 workplaces_percent_change_from_baseline 0.014987967785463152\n",
      "Day -5 residential_percent_change_from_baseline -0.5496439197584039\n",
      "Day -4 retail_and_recreation_percent_change_from_baseline -0.34003294822690655\n",
      "Day -4 grocery_and_pharmacy_percent_change_from_baseline -0.11370732323710006\n",
      "Day -4 parks_percent_change_from_baseline 0.07526948722049923\n",
      "Day -4 transit_stations_percent_change_from_baseline -0.2964772259578516\n",
      "Day -4 workplaces_percent_change_from_baseline 0.5555186743322281\n",
      "Day -4 residential_percent_change_from_baseline 0.4135913339545985\n",
      "Day -3 retail_and_recreation_percent_change_from_baseline -1.8055839971833643\n",
      "Day -3 grocery_and_pharmacy_percent_change_from_baseline 0.3532846423525113\n",
      "Day -3 parks_percent_change_from_baseline -0.12748512650521895\n",
      "Day -3 transit_stations_percent_change_from_baseline 0.9291516906473252\n",
      "Day -3 workplaces_percent_change_from_baseline 0.7377086894103349\n",
      "Day -3 residential_percent_change_from_baseline 0.1107876432433704\n",
      "Starting Predicting...\n"
     ]
    }
   ],
   "source": [
    "global_MAEs_ridge = predictor_ridge.GetCovidPredictions(period='30d', verbose=False, test_several_lookbacks=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title('Evolution of MAE with respect to the number of lookback days', size=20)\n",
    "plt.plot([3,5,8,10,15,20,30],global_MAEs, color='k', label='LASSO baseline')\n",
    "plt.plot([3,5,8,10,15,20,30],global_MAEs_, color='b', label='LASSO with mobility data')\n",
    "plt.plot([3,5,8,10,15,20,30],global_MAEs_ridge, color='orange', label='RIDGE')\n",
    "plt.xticks(size=15), plt.yticks(size=13)\n",
    "plt.ylabel('MAE',size=20), plt.xlabel('Number of lookback days', size=15)\n",
    "plt.legend()\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title('Evolution of MAE with respect to the number of lookback days', size=20)\n",
    "plt.plot([3,5,8,10,15,20,30],global_MAEs, color='k', label='LASSO baseline')\n",
    "plt.plot([3,5,8,10,15,20,30],global_MAEs_, color='b', label='LASSO with mobility data')\n",
    "plt.xticks(size=15), plt.yticks(size=13)\n",
    "plt.ylabel('MAE',size=20), plt.xlabel('Number of lookback days', size=15)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "preds_ridge = list(predictions_7d_ridge[predictions_7d_ridge.GeoID=='Germany'].PredictedDailyNewCases)\n",
    "preds_ = list(predictions_7d_[predictions_7d_.GeoID=='Germany'].PredictedDailyNewCases)\n",
    "preds_baseline = list(predictions_7d[predictions_7d.GeoID=='Germany'].PredictedDailyNewCases)\n",
    "ground_truth = list(predictions_7d[predictions_7d.GeoID=='Germany'].NewConfirmedCases_7davg)\n",
    "\n",
    "date = list(predictions_7d_ridge[predictions_7d_ridge.GeoID=='Germany'].Date)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "plt.title('Predictions for Germany on 7 days', size=25)\n",
    "plt.plot(date, preds_ridge, color='k', label='RIDGE')\n",
    "plt.plot(date,preds_, color='b', label='LASSO with mobility data')\n",
    "plt.plot(date,preds_baseline, color='orange', label='LASSO baseline')\n",
    "plt.plot(date,ground_truth, label='GroundTruth', color='red',ls='-')\n",
    "plt.xticks(size=16), plt.yticks(size=17)\n",
    "plt.ylabel('New daily cases',size=20), plt.xlabel('Date', size=20)\n",
    "plt.legend(loc=3,  prop={'size': 15})\n",
    "#plt.yscale('log')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}