05- Analysis_RQ2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "16bc886e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import os\n",
    "\n",
    "path =  \"/home/jnwatu/Dollar_Street/Bridging_the_digital_divide\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d0f41e95",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_path\n",
    "#%%\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8b13eea3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>id</th>\n",
       "      <th>country.name</th>\n",
       "      <th>country.id</th>\n",
       "      <th>region.id</th>\n",
       "      <th>type</th>\n",
       "      <th>imageRelPath</th>\n",
       "      <th>topics</th>\n",
       "      <th>place</th>\n",
       "      <th>income</th>\n",
       "      <th>CLIP score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>24655</td>\n",
       "      <td>5fd0457ff2d9500e435933ca</td>\n",
       "      <td>Serbia</td>\n",
       "      <td>rs</td>\n",
       "      <td>eu</td>\n",
       "      <td>video</td>\n",
       "      <td>assets/5fd0457ff2d9500e435933ca/6df313d79f9c0f...</td>\n",
       "      <td>Adding spices to food while cooking,Spices</td>\n",
       "      <td>rajkovic</td>\n",
       "      <td>1193.0</td>\n",
       "      <td>0.239534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>16463</td>\n",
       "      <td>5fd04872f2d9500e4359465c</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>za</td>\n",
       "      <td>af</td>\n",
       "      <td>video</td>\n",
       "      <td>assets/5fd04872f2d9500e4359465c/37c209cb7f9adf...</td>\n",
       "      <td>Adding spices to food while cooking,Spices</td>\n",
       "      <td>van-rheede</td>\n",
       "      <td>448.0</td>\n",
       "      <td>0.260990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>29818</td>\n",
       "      <td>5fd03a0bf2d9500e4358e9a7</td>\n",
       "      <td>Iran</td>\n",
       "      <td>ir</td>\n",
       "      <td>as</td>\n",
       "      <td>video</td>\n",
       "      <td>assets/5fd03a0bf2d9500e4358e9a7/de9e6e8a759f7e...</td>\n",
       "      <td>Adding spices to food while cooking,Spices</td>\n",
       "      <td>ahmadinejad</td>\n",
       "      <td>2369.0</td>\n",
       "      <td>0.309823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>13143</td>\n",
       "      <td>5fd025ad04167a0cab36b3a8</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>br</td>\n",
       "      <td>am</td>\n",
       "      <td>video</td>\n",
       "      <td>assets/5fd025ad04167a0cab36b3a8/647b2947695589...</td>\n",
       "      <td>Adding spices to food while cooking,Spices</td>\n",
       "      <td>cancela-reis</td>\n",
       "      <td>284.0</td>\n",
       "      <td>0.226416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>28760</td>\n",
       "      <td>5fd02d9ca8444d0db97b4b22</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>co</td>\n",
       "      <td>am</td>\n",
       "      <td>video</td>\n",
       "      <td>assets/5fd02d9ca8444d0db97b4b22/18f3b1e7cb55e1...</td>\n",
       "      <td>Adding spices to food while cooking,Spices</td>\n",
       "      <td>cruz</td>\n",
       "      <td>1963.0</td>\n",
       "      <td>0.284779</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1                        id  country.name  \\\n",
       "0           0         24655  5fd0457ff2d9500e435933ca        Serbia   \n",
       "1           1         16463  5fd04872f2d9500e4359465c  South Africa   \n",
       "2           2         29818  5fd03a0bf2d9500e4358e9a7          Iran   \n",
       "3           3         13143  5fd025ad04167a0cab36b3a8        Brazil   \n",
       "4           4         28760  5fd02d9ca8444d0db97b4b22      Colombia   \n",
       "\n",
       "  country.id region.id   type  \\\n",
       "0         rs        eu  video   \n",
       "1         za        af  video   \n",
       "2         ir        as  video   \n",
       "3         br        am  video   \n",
       "4         co        am  video   \n",
       "\n",
       "                                        imageRelPath  \\\n",
       "0  assets/5fd0457ff2d9500e435933ca/6df313d79f9c0f...   \n",
       "1  assets/5fd04872f2d9500e4359465c/37c209cb7f9adf...   \n",
       "2  assets/5fd03a0bf2d9500e4358e9a7/de9e6e8a759f7e...   \n",
       "3  assets/5fd025ad04167a0cab36b3a8/647b2947695589...   \n",
       "4  assets/5fd02d9ca8444d0db97b4b22/18f3b1e7cb55e1...   \n",
       "\n",
       "                                       topics         place  income  \\\n",
       "0  Adding spices to food while cooking,Spices      rajkovic  1193.0   \n",
       "1  Adding spices to food while cooking,Spices    van-rheede   448.0   \n",
       "2  Adding spices to food while cooking,Spices   ahmadinejad  2369.0   \n",
       "3  Adding spices to food while cooking,Spices  cancela-reis   284.0   \n",
       "4  Adding spices to food while cooking,Spices          cruz  1963.0   \n",
       "\n",
       "   CLIP score  \n",
       "0    0.239534  \n",
       "1    0.260990  \n",
       "2    0.309823  \n",
       "3    0.226416  \n",
       "4    0.284779  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(path + '/data/results_CLIP_no_sub.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b3925369",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels=[\"poor\", \"lower-middle\", \"upper-middle\", \"rich\"]\n",
    "\n",
    "\n",
    "data[\"quartile\"] = pd.qcut(data[\"income\"], q=[0, 0.25, 0.5, 0.75, 1],    \n",
    "                         labels=labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "530892d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# list of subjective topics\n",
    "\n",
    "\n",
    "subjective_topics = ['favorite home decorations', 'favourite item in kitchen', \n",
    "                    'favourite sports clubs', 'how the most loved item is used',\n",
    "                    'icons', 'idols', 'latest furniture bought', ' looking over the shoulder',\n",
    "                    'most loved item', 'most loved toy', 'most played songs on the radio',\n",
    "                    'music idol', 'next big thing you are planning to buy',\n",
    "                     'playing with most loved toy',\n",
    "                    'thing i dream about having','things i wish i had',\n",
    "                     'using most loved item', 'youth culture',\n",
    "                    'what i wish i could buy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a3a1aac9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "272\n"
     ]
    }
   ],
   "source": [
    "# map each topic to list of corresponding images\n",
    "dict_topic2img = {}\n",
    "count_ = []\n",
    "for list_topics, image_path in zip(data['topics'], data['imageRelPath']):\n",
    "    for topic in list_topics.split(\",\"):\n",
    "        topic = topic.lower()\n",
    "        if topic not in subjective_topics: # remove subjectives\n",
    "            \n",
    "            if topic not in dict_topic2img:\n",
    "                count_.append(topic)\n",
    "                dict_topic2img[topic] = set()\n",
    "            dict_topic2img[topic].add(image_path)\n",
    "\n",
    "print(len(dict_topic2img))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "081393cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36753\n"
     ]
    }
   ],
   "source": [
    "# map each image to corresponding topics, countries, income level ... TODO\n",
    "dict_img2topic, dict_img2country, dict_img2incomelevel, dict_country2region = {}, {}, {}, {}\n",
    "for list_topics, image_path, country, incomelevel, region in zip(data['topics'], data['imageRelPath'], data['country.name'], data['quartile'], data['region.id']):\n",
    "    dict_img2topic[image_path] = list_topics\n",
    "    dict_img2country[image_path] = country\n",
    "    dict_img2incomelevel[image_path] = incomelevel\n",
    "    dict_country2region[country] = region\n",
    "\n",
    "print(len(dict_img2topic))\n",
    "# print(dict_img2country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6eb0d4e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# query CLIP for each unique topic in set_topics\n",
    "topic_count_dict = {}\n",
    "for topic in dict_topic2img:\n",
    "    images = dict_topic2img[topic]\n",
    "    count = len(images)\n",
    "    #print(topic, count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4c996145",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "file_to_read = open(\"data/dict_topic2score_old.pkl\", \"rb\")\n",
    "\n",
    "dict_topic2score2 = pickle.load(file_to_read)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "40265b82",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_img_path = []\n",
    "list_topic = []\n",
    "\n",
    "for topic, img_lst in dict_topic2img.items():\n",
    "    for path in img_lst:\n",
    "        list_img_path.append(path)\n",
    "        list_topic.append(topic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cd354f6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45615"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list_img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "8b8541d2",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 291/291 [00:51<00:00,  5.65it/s]\n"
     ]
    }
   ],
   "source": [
    "#compare dict_topic2score[:count] to dict_topic2img\n",
    "from tqdm import tqdm\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "\n",
    "# THRESHOLD = 50\n",
    "\n",
    "all_images = list(data['imageRelPath'])\n",
    "dict_topic2FNimg = {}\n",
    "dict_topic2F1 = {}\n",
    "for topic in tqdm(list(dict_topic2score2.keys())): #TODO: do for all topics[:1]\n",
    "    if topic not in subjective_topics: \n",
    "        count_pos = len(dict_topic2img[topic])\n",
    "#         if count_pos < THRESHOLD:\n",
    "#             continue\n",
    "#         print(f\"topic '{topic}' has {count_pos} positives in a total of {len(dict_topic2score2[topic])}\")\n",
    "\n",
    "        GT_pos_images = dict_topic2img[topic]\n",
    "        Pred_pos_images = [data[1] for data in dict_topic2score2[topic][:count_pos]]\n",
    "\n",
    "        GT_labels = [1 if img in GT_pos_images else 0 for img in all_images]\n",
    "        Pred_labels = [1 if img in Pred_pos_images else 0 for img in all_images]\n",
    "        #print(Pred_labels)\n",
    "        #print(Counter(GT_labels))\n",
    "        #print(Counter(Pred_labels))\n",
    "\n",
    "        accuracy = round(accuracy_score(GT_labels, Pred_labels) * 100, 2)\n",
    "        recall = round(precision_score(GT_labels, Pred_labels) * 100, 2)\n",
    "        precision = round(recall_score(GT_labels, Pred_labels) * 100, 2)\n",
    "        f1 = round(f1_score(GT_labels, Pred_labels) * 100, 2)\n",
    "        #print(f\"Acc: {accuracy}, Recall: {recall}, Precision: {precision}, F1: {f1}\")\n",
    "        #print(\"---------\")\n",
    "        dict_topic2F1[topic] = f1\n",
    "\n",
    "        # What are the forgotten items (FN) \n",
    "        images_FN = []\n",
    "        for idx, img in enumerate(all_images):\n",
    "            label_GT = GT_labels[idx]\n",
    "            label_Pred = Pred_labels[idx]\n",
    "            #FN\n",
    "            if label_GT == 1 and label_Pred == 0:\n",
    "                images_FN.append(img) #TODO: map img to country& income \n",
    "        #print(images_FN)\n",
    "        dict_topic2FNimg[topic] = images_FN\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "777fe074",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "\n",
    "list_all_countriesFN = []\n",
    "dict_topic2FNCountry = {}\n",
    "dict_all_Countries_FN = {}\n",
    "for topic in dict_topic2FNimg:\n",
    "    list_imagesFN = dict_topic2FNimg[topic]\n",
    "    list_countriesFN = [dict_img2country[img] for img in list_imagesFN]\n",
    "    for country in list_countriesFN:\n",
    "        list_all_countriesFN.append(country)\n",
    "    #print(f\"topic: {topic}; {Counter(list_countriesFN)}\")\n",
    "    dict_topic2FNCountry[topic] = Counter(list_countriesFN)\n",
    "    \n",
    "#print(f\"ALL topics: {Counter(list_all_countriesFN)}\")\n",
    "dict_all_Countries_FN = Counter(list_all_countriesFN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "fc9565e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Country ground truth\n",
    "\n",
    "list_all_countriesGT = []\n",
    "dict_topic2GTCountry = {}\n",
    "dict_all_Countries_GT = {}\n",
    "for topic in dict_topic2img:\n",
    "    list_imagesGT = dict_topic2img[topic]\n",
    "    list_countriesGT = [dict_img2country[img] for img in list_imagesGT]\n",
    "    for country in list_countriesGT:\n",
    "        list_all_countriesGT.append(country)\n",
    "    #print(f\"topic: {topic}; {Counter(list_countriesFN)}\")\n",
    "    dict_topic2GTCountry[topic] = Counter(list_countriesGT)\n",
    "    \n",
    "#print(f\"ALL topics: {Counter(list_all_countriesGT)}\")\n",
    "dict_all_Countries_GT = Counter(list_all_countriesGT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "923d6af1",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Income level forgotten images\n",
    "\n",
    "\n",
    "list_all_incomelevelsFN = []\n",
    "dict_topic2FNIncomelevels = {}\n",
    "dict_all_incomelevels_FN = {}\n",
    "for topic in dict_topic2FNimg:\n",
    "    list_imagesFN = dict_topic2FNimg[topic]\n",
    "    list_incomelevelsFN = [dict_img2incomelevel[img] for img in list_imagesFN]\n",
    "    for incomelevel in list_incomelevelsFN:\n",
    "        list_all_incomelevelsFN.append(incomelevel)\n",
    "    #print(f\"topic: {topic}; {Counter(list_countriesFN)}\")\n",
    "    dict_topic2FNIncomelevels[topic] = Counter(list_incomelevelsFN)\n",
    "    \n",
    "#print(f\"ALL topics: {Counter(list_all_incomelevelsFN)}\")\n",
    "dict_all_incomelevels_FN = Counter(list_all_incomelevelsFN)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f82a6ac0",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Income level ground truth\n",
    "\n",
    "list_all_incomelevelsGT = []\n",
    "dict_topic2GTIncomelevels = {}\n",
    "dict_all_incomelevels_GT = {}\n",
    "for topic in dict_topic2img:\n",
    "    list_imagesGT = dict_topic2img[topic]\n",
    "    list_incomelevelsGT = [dict_img2incomelevel[img] for img in list_imagesGT]\n",
    "    for incomelevel in list_incomelevelsGT:### Topics where Poor has higher Recall than other classes (Appendix)\n",
    "        list_all_incomelevelsGT.append(incomelevel)\n",
    "    #print(f\"topic: {topic}; {Counter(list_countriesFN)}\")\n",
    "    dict_topic2GTIncomelevels[topic] = Counter(list_incomelevelsGT)\n",
    "    \n",
    "#print(f\"ALL topics: {Counter(list_all_incomelevelsGT)}\")\n",
    "dict_all_incomelevels_GT = Counter(list_all_incomelevelsGT)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "f16e4314",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Forgotten images / total images per income level = Forget ratio\n",
    "# Higher forget ratio indicates poorer CLIP performance for that income level\n",
    "#dict_all_Countries_FN/dict_all_Countries_GT\n",
    "\n",
    "\n",
    "Forget_ratio_percountry_allincome = Counter({key : dict_all_incomelevels_FN[key] / dict_all_incomelevels_GT[key] for key in dict_all_incomelevels_FN})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "0c2b80dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio_perincomelevel_pertopic = {}\n",
    "for topic in dict_topic2FNIncomelevels:\n",
    "    FN_counter_ = dict_topic2FNIncomelevels[topic]\n",
    "    GT_counter_ = dict_topic2GTIncomelevels[topic]\n",
    "        \n",
    "    temp_forget_ratio_ = Counter({key : FN_counter_[key] / GT_counter_[key] for key in FN_counter_ if sum(GT_counter_.values()) * 0.01 <= GT_counter_[key] })\n",
    "    Forget_ratio_perincomelevel_pertopic[topic] = temp_forget_ratio_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "a3a93a12",
   "metadata": {},
   "outputs": [],
   "source": [
    "Usual_topics = []\n",
    "for key in Forget_ratio_perincomelevel_pertopic.keys():\n",
    "    poor = Forget_ratio_perincomelevel_pertopic[key]['poor']\n",
    "    rich = Forget_ratio_perincomelevel_pertopic[key]['rich']\n",
    "    low_mid = Forget_ratio_perincomelevel_pertopic[key]['lower-middle']\n",
    "    up_mid = Forget_ratio_perincomelevel_pertopic[key]['upper-middle']\n",
    "    if (poor > rich) and (poor > up_mid) and (poor > low_mid):\n",
    "        Usual_topics.append(key)# Forget ratio is the false negative rate (FN/Ground truth) = 1 - Recall\n",
    "\n",
    "Forget_ratio_percountry_alltopics = Counter({key : dict_all_Countries_FN[key] / dict_all_Countries_GT[key] for key in dict_all_Countries_FN})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "f229e5a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio_percountry_pertopic = {}\n",
    "for topic in dict_topic2FNCountry:\n",
    "    FN_counter = dict_topic2FNCountry[topic]\n",
    "    GT_counter = dict_topic2GTCountry[topic]\n",
    "        \n",
    "    temp_forget_ratio = Counter({key : FN_counter[key] / GT_counter[key] for key in FN_counter if sum(GT_counter.values()) * 0.01 <= GT_counter[key] })\n",
    "    Forget_ratio_percountry_pertopic[topic] = temp_forget_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "ce8e053c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Recall\n",
    "\n",
    "Recall_perincomelevel_pertopic = {}\n",
    "for topic in dict_topic2FNIncomelevels:\n",
    "    FN_counter_ = dict_topic2FNIncomelevels[topic]\n",
    "    GT_counter_ = dict_topic2GTIncomelevels[topic]\n",
    "        \n",
    "    temp_recall_ratio_ = Counter({key : 1 - FN_counter_[key] / GT_counter_[key] for key in FN_counter_ if sum(GT_counter_.values()) * 0.01 <= GT_counter_[key] })\n",
    "    Recall_perincomelevel_pertopic[topic] = temp_recall_ratio_\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "94832620",
   "metadata": {},
   "outputs": [],
   "source": [
    "topic2F1_df = pd.DataFrame(dict_topic2F1.items(),\n",
    "                       columns = ['Topic', 'F1 Score'])\n",
    "topic2F1_df.to_csv('topic2F1_df.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "ea0412d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio_percountry_alltopics_df = pd.DataFrame(Forget_ratio_percountry_alltopics.items(),\n",
    "                        columns = ['Topic', 'Forget ratio'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "6078108f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>Forget ratio</th>\n",
       "      <th>Total images per country</th>\n",
       "      <th>Forgotten images</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>0.659236</td>\n",
       "      <td>1256</td>\n",
       "      <td>828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>0.722164</td>\n",
       "      <td>961</td>\n",
       "      <td>694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>0.619388</td>\n",
       "      <td>1960</td>\n",
       "      <td>1214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>0.557000</td>\n",
       "      <td>3000</td>\n",
       "      <td>1671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>India</td>\n",
       "      <td>0.615289</td>\n",
       "      <td>5625</td>\n",
       "      <td>3461</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Topic  Forget ratio  Total images per country  Forgotten images\n",
       "0        Serbia      0.659236                      1256               828\n",
       "1  South Africa      0.722164                       961               694\n",
       "2        Brazil      0.619388                      1960              1214\n",
       "3      Colombia      0.557000                      3000              1671\n",
       "4         India      0.615289                      5625              3461"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Forget_ratio_percountry_alltopics_df['Total images per country'] = Forget_ratio_percountry_alltopics_df['Topic'].map(dict_all_Countries_GT)\n",
    "Forget_ratio_percountry_alltopics_df['Forgotten images'] = Forget_ratio_percountry_alltopics_df['Topic'].map(dict_all_Countries_FN)\n",
    "Forget_ratio_percountry_alltopics_df.to_csv('Fratio2country_df.csv')\n",
    "Forget_ratio_percountry_alltopics_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "92df9feb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Income level</th>\n",
       "      <th>Forget ratio</th>\n",
       "      <th>Total images per income level</th>\n",
       "      <th>Forgotten images</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>upper-middle</td>\n",
       "      <td>0.571990</td>\n",
       "      <td>11446</td>\n",
       "      <td>6547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>lower-middle</td>\n",
       "      <td>0.702555</td>\n",
       "      <td>10997</td>\n",
       "      <td>7726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rich</td>\n",
       "      <td>0.575162</td>\n",
       "      <td>12054</td>\n",
       "      <td>6933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>poor</td>\n",
       "      <td>0.865893</td>\n",
       "      <td>11118</td>\n",
       "      <td>9627</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Income level  Forget ratio  Total images per income level  Forgotten images\n",
       "0  upper-middle      0.571990                          11446              6547\n",
       "1  lower-middle      0.702555                          10997              7726\n",
       "2          rich      0.575162                          12054              6933\n",
       "3          poor      0.865893                          11118              9627"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Forget_ratio_percountry_allincome_df = pd.DataFrame(Forget_ratio_percountry_allincome.items(), columns = ['Income level', 'Forget ratio',])\n",
    "Forget_ratio_percountry_allincome_df['Total images per income level'] = Forget_ratio_percountry_allincome_df['Income level'].map(dict_all_incomelevels_GT)\n",
    "Forget_ratio_percountry_allincome_df['Forgotten images'] = Forget_ratio_percountry_allincome_df['Income level'].map(dict_all_incomelevels_FN)\n",
    "Forget_ratio_percountry_allincome_df.to_csv('Fratio2income_df.csv')\n",
    "Forget_ratio_percountry_allincome_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e812c108",
   "metadata": {},
   "source": [
    "## Ratio of False Negatives to True Positives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "642db2c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio2country_df_per_topic = pd.DataFrame(Forget_ratio_percountry_pertopic)\n",
    "Forget_ratio2country_df_per_topic.to_csv('Forget_ratio2country_df_per_topic.csv')\n",
    "#Forget_ratio2country_df_per_topic.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "b27f90b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio_perincomelevel_pertopic_df = pd.DataFrame(Forget_ratio_perincomelevel_pertopic)\n",
    "Forget_ratio_perincomelevel_pertopic_df.to_csv('Forget_ratio_perincomelevel_pertopic_df.csv')\n",
    "#Forget_ratio_perincomelevel_pertopic_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "f05be954",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio2income_df = pd.read_csv('Fratio2income_df.csv')\n",
    "topic2F1_df = pd.read_csv('topic2F1_df.csv')\n",
    "Forget_ratio2country_df = pd.read_csv('Fratio2country_df.csv')\n",
    "Forget_ratio2country_per_topic_df = pd.read_csv('Forget_ratio2country_df_per_topic.csv')\n",
    "Forget_ratio_perincomelevel_pertopic_df = pd.read_csv('Forget_ratio_perincomelevel_pertopic_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d133a77c",
   "metadata": {},
   "outputs": [],
   "source": [
    "Forget_ratio2income_df['Recognized images'] = Forget_ratio2income_df['Total images per income level'] - Forget_ratio2income_df['Forgotten images']\n",
    "Forget_ratio2income_df_plot = Forget_ratio2income_df[['Income level','Recognized images','Forgotten images']].copy()\n",
    "#Forget_ratio2income_df_plot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "39d2a046",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (12, 6))\n",
    "# Plot\n",
    "plot1 = Forget_ratio2income_df_plot.sort_values('Recognized images').plot(kind = \"bar\",\n",
    "        stacked = True,\n",
    "        ax = ax,\n",
    "        width = 0.3,\n",
    "        edgecolor = \"none\", color = ['#CAF6AD', '#FFB3AE'])\n",
    "    \n",
    "# Adding bar labels\n",
    "\n",
    "recog = list(Forget_ratio2income_df.sort_values('Recognized images')['Recognized images'] * 100/ Forget_ratio2income_df.sort_values('Recognized images')['Total images per income level'])\n",
    "forget = list(Forget_ratio2income_df.sort_values('Recognized images')['Forgotten images'] * 100 / Forget_ratio2income_df.sort_values('Recognized images')['Total images per income level'])\n",
    "\n",
    "label_lst = []\n",
    "label_lst.append([str(round(per, 1)) for per in recog])\n",
    "label_lst.append([str(round(per, 1)) for per in forget])\n",
    "cnt = 0\n",
    "for c in ax.containers:\n",
    "    #labels = [str(round(v.get_height()* 100/total_lst[cnt], 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    labels =  label_lst[cnt]\n",
    "    cnt +=1\n",
    "    #print(labels)\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 size = 24) # add a container object \"c\" as first argument\n",
    "\n",
    "\n",
    "ax.legend(['%TP', '%FN'], loc='lower center', prop = {\"size\": 17}) #recognized, forgotten\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=3)\n",
    "\n",
    "plot1.set_xticklabels(('poor', 'low-mid','up-mid', 'rich'))\n",
    "plot1.set_xlabel(\"Income Quartiles\")\n",
    "plot1.set_ylabel(\"#Images\")\n",
    "\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/Incomelevelall.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d1e727c",
   "metadata": {},
   "source": [
    "## Countries with highest False negative rate (Worst Recall) - Consider adding a threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "371ebfc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "country2avg_income = data.groupby('country.name')['income'].mean().to_dict()\n",
    "\n",
    "Forget_ratio2country_df['Country'] = Forget_ratio2country_df['Topic']\n",
    "Forget_ratio2country_df['Recall'] = [1-x for x in list(Forget_ratio2country_df['Forget ratio'])]\n",
    "Forget_ratio2country_df['Region'] = Forget_ratio2country_df['Country'].map(dict_country2region)\n",
    "Recall_topic2country_df = Forget_ratio2country_df[['Country','Recall']].copy()\n",
    "#Recall_topic2country_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "c498e134",
   "metadata": {},
   "outputs": [],
   "source": [
    "Worst_forgotten_topic2country_df = Forget_ratio2country_df.sort_values('Recall', ascending = True).head(10)[['Country','Forgotten images', 'Total images per country']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "af306192",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Recognized images</th>\n",
       "      <th>Forgotten images</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>20</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Haiti</td>\n",
       "      <td>41</td>\n",
       "      <td>506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>49</td>\n",
       "      <td>540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>75</td>\n",
       "      <td>823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>9</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>37</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>48</td>\n",
       "      <td>402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>30</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Myanmar</td>\n",
       "      <td>112</td>\n",
       "      <td>744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country  Recognized images  Forgotten images\n",
       "53           Somalia                  2                52\n",
       "37           Burundi                 20               311\n",
       "38             Haiti                 41               506\n",
       "32      Burkina Faso                 49               540\n",
       "29            Malawi                 75               823\n",
       "39  Papua New Guinea                  9                90\n",
       "47     Cote d'Ivoire                 37               320\n",
       "27          Zimbabwe                 48               402\n",
       "30           Liberia                 30               216\n",
       "40           Myanmar                112               744"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Worst_forgotten_topic2country_df['Recognized images'] = Worst_forgotten_topic2country_df['Total images per country'] - Worst_forgotten_topic2country_df['Forgotten images']\n",
    "Worst_forgotten_topic2country_df\n",
    "Worst_country_perf = Worst_forgotten_topic2country_df[['Country','Recognized images','Forgotten images']].copy()\n",
    "Worst_country_perf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "20c07c27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Recognized images</th>\n",
       "      <th>Forgotten images</th>\n",
       "      <th>TP</th>\n",
       "      <th>FN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Somalia</td>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "      <td>3.7</td>\n",
       "      <td>96.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>20</td>\n",
       "      <td>311</td>\n",
       "      <td>6.0</td>\n",
       "      <td>94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Haiti</td>\n",
       "      <td>41</td>\n",
       "      <td>506</td>\n",
       "      <td>7.5</td>\n",
       "      <td>92.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>49</td>\n",
       "      <td>540</td>\n",
       "      <td>8.3</td>\n",
       "      <td>91.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>75</td>\n",
       "      <td>823</td>\n",
       "      <td>8.4</td>\n",
       "      <td>91.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "      <td>9</td>\n",
       "      <td>90</td>\n",
       "      <td>9.1</td>\n",
       "      <td>90.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "      <td>37</td>\n",
       "      <td>320</td>\n",
       "      <td>10.4</td>\n",
       "      <td>89.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>48</td>\n",
       "      <td>402</td>\n",
       "      <td>10.7</td>\n",
       "      <td>89.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>30</td>\n",
       "      <td>216</td>\n",
       "      <td>12.2</td>\n",
       "      <td>87.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Myanmar</td>\n",
       "      <td>112</td>\n",
       "      <td>744</td>\n",
       "      <td>13.1</td>\n",
       "      <td>86.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country  Recognized images  Forgotten images    TP    FN\n",
       "53           Somalia                  2                52   3.7  96.3\n",
       "37           Burundi                 20               311   6.0  94.0\n",
       "38             Haiti                 41               506   7.5  92.5\n",
       "32      Burkina Faso                 49               540   8.3  91.7\n",
       "29            Malawi                 75               823   8.4  91.6\n",
       "39  Papua New Guinea                  9                90   9.1  90.9\n",
       "47     Cote d'Ivoire                 37               320  10.4  89.6\n",
       "27          Zimbabwe                 48               402  10.7  89.3\n",
       "30           Liberia                 30               216  12.2  87.8\n",
       "40           Myanmar                112               744  13.1  86.9"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_TP = Worst_country_perf['Recognized images'] / (Worst_country_perf['Recognized images'] + Worst_country_perf['Forgotten images']) * 100\n",
    "nb_FN = Worst_country_perf['Forgotten images'] / (Worst_country_perf['Recognized images'] + Worst_country_perf['Forgotten images']) * 100\n",
    "\n",
    "Worst_country_perf['TP'] = round(nb_TP, 1)\n",
    "Worst_country_perf['FN'] = round(nb_FN, 1)\n",
    "Worst_country_perf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "9532dc31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (7, 8))\n",
    "Worst_country_perf = Worst_country_perf.sort_values(by='FN', ascending=True)\n",
    "\n",
    "# Plot\n",
    "plot1 = Worst_country_perf[['Country', 'TP', 'FN']].plot(kind = \"barh\",\n",
    "        stacked=True,\n",
    "        x='Country',\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#CAF6AD', '#FFB3AE'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    ax.bar_label(c, label_type='center', padding=10)\n",
    "\n",
    "    \n",
    "ax.legend(['%TP', '%FN'], bbox_to_anchor=(1, 0.5), prop = {\"size\": 18}) #recognized, forgotten\n",
    "ax.legend_ = None\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=2.5)\n",
    "\n",
    "plot1.set_ylabel(\"Worst Recall Countries\")\n",
    "plot1.set_yticklabels([str(country) + '-\\n' + str(round(country2avg_income[country], 1)) + '$' for country in list(Worst_country_perf.Country)])\n",
    "plot1.set_xlabel('Relevant Images')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/worst_recall_countries.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6239a9c8",
   "metadata": {},
   "source": [
    "## Countries with lowest False negative rate (Best Recall)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "c8085773",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Recognized images</th>\n",
       "      <th>Forgotten images</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Canada</td>\n",
       "      <td>30</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Sri Lanka</td>\n",
       "      <td>55</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Kyrgyzstan</td>\n",
       "      <td>46</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>50</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>763</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>53</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>299</td>\n",
       "      <td>353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Iran</td>\n",
       "      <td>351</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>94</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>106</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country  Recognized images  Forgotten images\n",
       "62          Canada                 30                18\n",
       "59       Sri Lanka                 55                46\n",
       "61      Kyrgyzstan                 46                39\n",
       "44      Kazakhstan                 50                51\n",
       "8      Netherlands                763               806\n",
       "50       Guatemala                 53                62\n",
       "33          Mexico                299               353\n",
       "17            Iran                351               416\n",
       "19          Turkey                 94               112\n",
       "57  United Kingdom                106               127"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Classes for which the difference in accuracy is large\n",
    "Best_forgotten_topic2country_df = Forget_ratio2country_df.sort_values('Recall', ascending = False).head(10)[['Country','Forgotten images', 'Total images per country']].copy()\n",
    "\n",
    "#Best_forgotten_topic2country_df['Recognized images'] = Worst_forgotten_topic2country_df['Total images per country']- Worst_forgotten_topic2country_df['Forgotten images']\n",
    "\n",
    "Best_forgotten_topic2country_df['Recognized images'] = Best_forgotten_topic2country_df['Total images per country'] - Best_forgotten_topic2country_df['Forgotten images']\n",
    "\n",
    "Best_country_perf = Best_forgotten_topic2country_df[['Country','Recognized images','Forgotten images']].copy()\n",
    "Best_country_perf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b07c953c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "56af8ccd",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Recognized images</th>\n",
       "      <th>Forgotten images</th>\n",
       "      <th>TP</th>\n",
       "      <th>FN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Canada</td>\n",
       "      <td>30</td>\n",
       "      <td>18</td>\n",
       "      <td>62.5</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Sri Lanka</td>\n",
       "      <td>55</td>\n",
       "      <td>46</td>\n",
       "      <td>54.5</td>\n",
       "      <td>45.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Kyrgyzstan</td>\n",
       "      <td>46</td>\n",
       "      <td>39</td>\n",
       "      <td>54.1</td>\n",
       "      <td>45.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>50</td>\n",
       "      <td>51</td>\n",
       "      <td>49.5</td>\n",
       "      <td>50.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>763</td>\n",
       "      <td>806</td>\n",
       "      <td>48.6</td>\n",
       "      <td>51.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>53</td>\n",
       "      <td>62</td>\n",
       "      <td>46.1</td>\n",
       "      <td>53.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>299</td>\n",
       "      <td>353</td>\n",
       "      <td>45.9</td>\n",
       "      <td>54.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Iran</td>\n",
       "      <td>351</td>\n",
       "      <td>416</td>\n",
       "      <td>45.8</td>\n",
       "      <td>54.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>94</td>\n",
       "      <td>112</td>\n",
       "      <td>45.6</td>\n",
       "      <td>54.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>106</td>\n",
       "      <td>127</td>\n",
       "      <td>45.5</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country  Recognized images  Forgotten images    TP    FN\n",
       "62          Canada                 30                18  62.5  37.5\n",
       "59       Sri Lanka                 55                46  54.5  45.5\n",
       "61      Kyrgyzstan                 46                39  54.1  45.9\n",
       "44      Kazakhstan                 50                51  49.5  50.5\n",
       "8      Netherlands                763               806  48.6  51.4\n",
       "50       Guatemala                 53                62  46.1  53.9\n",
       "33          Mexico                299               353  45.9  54.1\n",
       "17            Iran                351               416  45.8  54.2\n",
       "19          Turkey                 94               112  45.6  54.4\n",
       "57  United Kingdom                106               127  45.5  54.5"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_TP = Best_country_perf['Recognized images'] / (Best_country_perf['Recognized images'] + Best_country_perf['Forgotten images']) * 100\n",
    "nb_FN = Best_country_perf['Forgotten images'] / (Best_country_perf['Recognized images'] + Best_country_perf['Forgotten images']) * 100\n",
    "\n",
    "Best_country_perf['TP'] = round(nb_TP, 1)\n",
    "Best_country_perf['FN'] = round(nb_FN, 1)\n",
    "Best_country_perf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "b7136914",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (7, 8))\n",
    "Best_country_perf = Best_country_perf.sort_values(by='FN', ascending=True)\n",
    "\n",
    "# Plot\n",
    "plot1 = Best_country_perf[['Country', 'TP', 'FN']].plot(kind = \"barh\",\n",
    "        stacked=True,\n",
    "        x='Country',\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#CAF6AD', '#FFB3AE'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    ax.bar_label(c, label_type='center')\n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=2.5)\n",
    "ax.legend_ = None\n",
    "\n",
    "# ax.legend(['%TP', '%FN']) #recognized, forgotten\n",
    "\n",
    "plot1.set_ylabel(\"Best Recall Countries\")\n",
    "plot1.set_yticklabels([str(country) + '- \\n' + str(round(country2avg_income[country], 1)) + '$' for country in list(Best_country_perf.Country)])\n",
    "plot1.set_xlabel('Relevant Images')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/best_recall_countries.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7113253",
   "metadata": {},
   "source": [
    "## Difference between Recall across Income Levels (subtraction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "f53384b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_difference_dict ={}\n",
    "for topic in Recall_perincomelevel_pertopic:\n",
    "    td = Recall_perincomelevel_pertopic[topic]\n",
    "    rich = td['rich']\n",
    "    upper_middle = td['upper-middle']\n",
    "    lower_middle = td['lower-middle']\n",
    "    poor = td['poor']\n",
    "    \n",
    "    difference = [abs(rich-poor), abs(rich-upper_middle), abs(rich-lower_middle), abs(upper_middle-lower_middle), abs(upper_middle-poor), abs(lower_middle-poor)]\n",
    "    all_difference_dict[topic] = sum(difference)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "a55122ab",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>washing hands</td>\n",
       "      <td>3.001466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>toilet</td>\n",
       "      <td>2.828920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>toilet paper</td>\n",
       "      <td>2.733159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>kitchen sink</td>\n",
       "      <td>2.549937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>stove/hob</td>\n",
       "      <td>2.425859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>couch</td>\n",
       "      <td>2.396915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>wardrobe</td>\n",
       "      <td>2.389640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>playing an instrument</td>\n",
       "      <td>2.380952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>pet foods</td>\n",
       "      <td>2.379923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>sofa</td>\n",
       "      <td>2.375660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>kitchen</td>\n",
       "      <td>2.361167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>shower</td>\n",
       "      <td>2.319742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>bed</td>\n",
       "      <td>2.278350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>living room</td>\n",
       "      <td>2.204826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>washing clothes/cleaning</td>\n",
       "      <td>2.179851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>work area</td>\n",
       "      <td>2.134614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>shoes</td>\n",
       "      <td>2.068323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Topic  Difference\n",
       "173             washing hands    3.001466\n",
       "27                     toilet    2.828920\n",
       "93               toilet paper    2.733159\n",
       "124              kitchen sink    2.549937\n",
       "110                 stove/hob    2.425859\n",
       "16                      couch    2.396915\n",
       "99                   wardrobe    2.389640\n",
       "205     playing an instrument    2.380952\n",
       "203                 pet foods    2.379923\n",
       "17                       sofa    2.375660\n",
       "35                    kitchen    2.361167\n",
       "40                     shower    2.319742\n",
       "41                        bed    2.278350\n",
       "49                living room    2.204826\n",
       "131  washing clothes/cleaning    2.179851\n",
       "103                 work area    2.134614\n",
       "218                     shoes    2.068323"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_difference_df = pd.DataFrame()\n",
    "all_difference_df['Topic'] = [i for i in all_difference_dict.keys()]\n",
    "all_difference_df['Difference'] = [j for j in all_difference_dict.values()]\n",
    "all_difference_df.sort_values('Difference', ascending = False).head(17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "d5d534d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['washing hands',\n",
       " 'toilet',\n",
       " 'toilet paper',\n",
       " 'kitchen sink',\n",
       " 'stove/hob',\n",
       " 'couch',\n",
       " 'wardrobe',\n",
       " 'playing an instrument',\n",
       " 'pet foods',\n",
       " ' sofa',\n",
       " 'kitchen',\n",
       " 'shower',\n",
       " 'bed',\n",
       " 'living room',\n",
       " 'washing clothes/cleaning',\n",
       " 'work area',\n",
       " 'shoes']"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_diff_topics = all_difference_df.sort_values('Difference', ascending = False).head(17)\n",
    "all_diff_topics_lst = all_diff_topics['Topic'].to_list()\n",
    "all_diff_topics_lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "3d332506",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "poor_FN = []\n",
    "rich_FN = []\n",
    "upper_middle_FN = []\n",
    "lower_middle_FN = []\n",
    "FN_rate_lst = []\n",
    "topic_lst = []\n",
    "\n",
    "for topic in all_diff_topics_lst:\n",
    "    temp_d = Recall_perincomelevel_pertopic[topic]\n",
    "    poor_FN.append(temp_d['poor'])\n",
    "    rich_FN.append(temp_d['rich'])\n",
    "    upper_middle_FN.append(temp_d['upper-middle'])\n",
    "    lower_middle_FN.append(temp_d['lower-middle'])\n",
    "\n",
    "    topic_lst.append(topic)\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "658024c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_diff_topics_plot = pd.DataFrame()\n",
    "all_diff_topics_plot['Topic'] = topic_lst\n",
    "all_diff_topics_plot['26.9-195$'] = poor_FN\n",
    "all_diff_topics_plot['195.4-685$'] = lower_middle_FN\n",
    "all_diff_topics_plot['694-1,998$'] = upper_middle_FN\n",
    "all_diff_topics_plot['2,001-19,671$'] = rich_FN\n",
    "\n",
    "all_diff_topics_plot =  all_diff_topics_plot[all_diff_topics_plot['26.9-195$'] != 0]\n",
    "# all_diff_topics_plot = all_diff_topics_plot[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "5e5fbe28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),\n",
       " [Text(0, 0, 'toilet'),\n",
       "  Text(1, 0, 'toilet paper'),\n",
       "  Text(2, 0, 'stove/hob'),\n",
       "  Text(3, 0, 'couch'),\n",
       "  Text(4, 0, 'wardrobe'),\n",
       "  Text(5, 0, ' sofa'),\n",
       "  Text(6, 0, 'kitchen'),\n",
       "  Text(7, 0, 'bed'),\n",
       "  Text(8, 0, 'washing clothes/cleaning'),\n",
       "  Text(9, 0, 'shoes')])"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (14, 7))\n",
    "# Plot\n",
    "plot1 = all_diff_topics_plot.plot(kind = \"bar\",\n",
    "        stacked = True,\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['lightgray', 'lightpink', 'palevioletred', 'mediumvioletred'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height(), 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 padding=2,\n",
    "                 size = 17) # add a container object \"c\" as first argument\n",
    "    \n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=3)\n",
    "\n",
    "plot1.set_xticklabels((all_diff_topics_plot['Topic'].to_list()))\n",
    "plot1.set_xlabel(\"Topics\")\n",
    "plot1.set_ylabel(\"Recall\")\n",
    "\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.savefig('Images/topic_recall.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92b16b66",
   "metadata": {},
   "source": [
    "## Difference between Recall across Income Levels (Standard deviation )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "e991626c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statistics import pstdev, pvariance\n",
    "\n",
    "all_difference_dict ={}\n",
    "for topic in Recall_perincomelevel_pertopic:\n",
    "    td = Recall_perincomelevel_pertopic[topic]\n",
    "    rich = td['rich'] *100\n",
    "    upper_middle = td['upper-middle'] * 100\n",
    "    lower_middle = td['lower-middle'] * 100\n",
    "    poor = td['poor'] * 100\n",
    "    \n",
    "    #difference = pvariance([rich, upper_middle, lower_middle, poor])\n",
    "    difference = pstdev([rich, upper_middle, lower_middle, poor])\n",
    "    all_difference_dict[topic] = difference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "48fc9ad4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>washing hands</td>\n",
       "      <td>35.095236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>toilet</td>\n",
       "      <td>32.873006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>toilet paper</td>\n",
       "      <td>30.804227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>kitchen sink</td>\n",
       "      <td>29.446124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>stove/hob</td>\n",
       "      <td>28.231974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>car keys</td>\n",
       "      <td>28.105569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>playing an instrument</td>\n",
       "      <td>28.071015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>pet foods</td>\n",
       "      <td>27.751616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>wardrobe</td>\n",
       "      <td>27.129927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>couch</td>\n",
       "      <td>26.937778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>kitchen</td>\n",
       "      <td>26.876453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>shower</td>\n",
       "      <td>26.838045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>sofa</td>\n",
       "      <td>26.674812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>newspapers</td>\n",
       "      <td>25.980762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>bed</td>\n",
       "      <td>25.541177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>living room</td>\n",
       "      <td>25.302772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>washing clothes/cleaning</td>\n",
       "      <td>25.011850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>cigarettes</td>\n",
       "      <td>24.176543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>work area</td>\n",
       "      <td>24.141784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>contraceptives</td>\n",
       "      <td>23.829976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>sleeping</td>\n",
       "      <td>23.701385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>cosmetics</td>\n",
       "      <td>23.594471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>shampoo</td>\n",
       "      <td>23.387709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>shoes</td>\n",
       "      <td>23.128177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>ceiling</td>\n",
       "      <td>22.691156</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Topic  Difference\n",
       "173             washing hands   35.095236\n",
       "27                     toilet   32.873006\n",
       "93               toilet paper   30.804227\n",
       "124              kitchen sink   29.446124\n",
       "110                 stove/hob   28.231974\n",
       "72                   car keys   28.105569\n",
       "205     playing an instrument   28.071015\n",
       "203                 pet foods   27.751616\n",
       "99                   wardrobe   27.129927\n",
       "16                      couch   26.937778\n",
       "35                    kitchen   26.876453\n",
       "40                     shower   26.838045\n",
       "17                       sofa   26.674812\n",
       "194                newspapers   25.980762\n",
       "41                        bed   25.541177\n",
       "49                living room   25.302772\n",
       "131  washing clothes/cleaning   25.011850\n",
       "91                 cigarettes   24.176543\n",
       "103                 work area   24.141784\n",
       "104            contraceptives   23.829976\n",
       "221                  sleeping   23.701385\n",
       "113                 cosmetics   23.594471\n",
       "123                   shampoo   23.387709\n",
       "218                     shoes   23.128177\n",
       "81                    ceiling   22.691156"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_difference_df = pd.DataFrame()\n",
    "all_difference_df['Topic'] = [i for i in all_difference_dict.keys()]\n",
    "all_difference_df['Difference'] = [j for j in all_difference_dict.values()]\n",
    "all_difference_df.sort_values('Difference', ascending = False).head(25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "de174161",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['washing hands',\n",
       " 'toilet',\n",
       " 'toilet paper',\n",
       " 'kitchen sink',\n",
       " 'stove/hob',\n",
       " 'car keys',\n",
       " 'playing an instrument',\n",
       " 'pet foods',\n",
       " 'wardrobe',\n",
       " 'couch',\n",
       " 'kitchen',\n",
       " 'shower',\n",
       " ' sofa',\n",
       " 'newspapers',\n",
       " 'bed',\n",
       " 'living room',\n",
       " 'washing clothes/cleaning',\n",
       " 'cigarettes',\n",
       " 'work area',\n",
       " 'contraceptives',\n",
       " 'sleeping',\n",
       " 'cosmetics',\n",
       " 'shampoo',\n",
       " 'shoes',\n",
       " 'ceiling']"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_diff_topics = all_difference_df.sort_values('Difference', ascending = False).head(25)\n",
    "all_diff_topics_lst = all_diff_topics['Topic'].to_list()\n",
    "all_diff_topics_lst\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "dd5f89ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_FN = []\n",
    "rich_FN = []\n",
    "upper_middle_FN = []\n",
    "lower_middle_FN = []\n",
    "FN_rate_lst = []\n",
    "topic_lst = []\n",
    "\n",
    "\n",
    "#forgotten_imgs = [] #remember to do 1- FN\n",
    "for topic in all_diff_topics_lst:\n",
    "    temp_d = Recall_perincomelevel_pertopic[topic]\n",
    "    poor_FN.append(temp_d['poor'])\n",
    "    rich_FN.append(temp_d['rich'])\n",
    "    upper_middle_FN.append(temp_d['upper-middle'])\n",
    "    lower_middle_FN.append(temp_d['lower-middle'])\n",
    "    #income_lvl = list(temp_d.keys())\n",
    "    #FN_rate = list(temp_d.values())\n",
    "    topic_lst.append(topic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "59b5c279",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(topic_lst)):\n",
    "    if topic_lst[i] == 'washing clothes/cleaning':\n",
    "        topic_lst[i] = 'cleaning'\n",
    "    if topic_lst[i] == 'stove/hob':\n",
    "        topic_lst[i] = 'stove'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "466191a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>poor</th>\n",
       "      <th>low-mid</th>\n",
       "      <th>up-mid</th>\n",
       "      <th>rich</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>toilet</td>\n",
       "      <td>6.857143</td>\n",
       "      <td>43.410853</td>\n",
       "      <td>83.018868</td>\n",
       "      <td>87.951807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>toilet paper</td>\n",
       "      <td>7.317073</td>\n",
       "      <td>35.064935</td>\n",
       "      <td>69.892473</td>\n",
       "      <td>86.813187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>stove</td>\n",
       "      <td>5.932203</td>\n",
       "      <td>42.342342</td>\n",
       "      <td>71.296296</td>\n",
       "      <td>77.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>wardrobe</td>\n",
       "      <td>10.784314</td>\n",
       "      <td>39.130435</td>\n",
       "      <td>68.888889</td>\n",
       "      <td>80.519481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>couch</td>\n",
       "      <td>4.255319</td>\n",
       "      <td>32.530120</td>\n",
       "      <td>58.064516</td>\n",
       "      <td>75.641026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>kitchen</td>\n",
       "      <td>1.063830</td>\n",
       "      <td>25.287356</td>\n",
       "      <td>68.674699</td>\n",
       "      <td>58.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>sofa</td>\n",
       "      <td>2.127660</td>\n",
       "      <td>30.120482</td>\n",
       "      <td>54.838710</td>\n",
       "      <td>73.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>bed</td>\n",
       "      <td>8.943089</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>58.585859</td>\n",
       "      <td>76.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>cleaning</td>\n",
       "      <td>5.649718</td>\n",
       "      <td>22.131148</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>66.355140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>cigarettes</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>58.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>shampoo</td>\n",
       "      <td>2.439024</td>\n",
       "      <td>29.069767</td>\n",
       "      <td>57.608696</td>\n",
       "      <td>59.493671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>shoes</td>\n",
       "      <td>1.408451</td>\n",
       "      <td>22.916667</td>\n",
       "      <td>43.589744</td>\n",
       "      <td>63.461538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ceiling</td>\n",
       "      <td>9.909910</td>\n",
       "      <td>24.468085</td>\n",
       "      <td>59.036145</td>\n",
       "      <td>63.513514</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Topic       poor    low-mid     up-mid       rich\n",
       "1         toilet   6.857143  43.410853  83.018868  87.951807\n",
       "2   toilet paper   7.317073  35.064935  69.892473  86.813187\n",
       "4          stove   5.932203  42.342342  71.296296  77.142857\n",
       "8       wardrobe  10.784314  39.130435  68.888889  80.519481\n",
       "9          couch   4.255319  32.530120  58.064516  75.641026\n",
       "10       kitchen   1.063830  25.287356  68.674699  58.571429\n",
       "12          sofa   2.127660  30.120482  54.838710  73.076923\n",
       "14           bed   8.943089  33.333333  58.585859  76.470588\n",
       "16      cleaning   5.649718  22.131148  58.000000  66.355140\n",
       "17    cigarettes  60.000000  37.500000   0.000000  58.333333\n",
       "22       shampoo   2.439024  29.069767  57.608696  59.493671\n",
       "23         shoes   1.408451  22.916667  43.589744  63.461538\n",
       "24       ceiling   9.909910  24.468085  59.036145  63.513514"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_diff_topics_plot = pd.DataFrame()\n",
    "all_diff_topics_plot['Topic'] = topic_lst\n",
    "all_diff_topics_plot['poor'] = poor_FN \n",
    "all_diff_topics_plot['poor'] *= 100\n",
    "all_diff_topics_plot['low-mid'] = lower_middle_FN \n",
    "all_diff_topics_plot['low-mid'] *= 100\n",
    "all_diff_topics_plot['up-mid'] = upper_middle_FN \n",
    "all_diff_topics_plot['up-mid'] *= 100\n",
    "all_diff_topics_plot['rich'] = rich_FN \n",
    "all_diff_topics_plot['rich'] *= 100\n",
    "all_diff_topics_plot =  all_diff_topics_plot[all_diff_topics_plot['poor'] != 0]\n",
    "all_diff_topics_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "50a17432",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_diff_topics_plot=all_diff_topics_plot[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "917e001c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (14, 7))\n",
    "# Plot\n",
    "plot1 = all_diff_topics_plot.plot(kind = \"bar\",\n",
    "        stacked = True,\n",
    "        ax = ax,\n",
    "        width = 0.7,\n",
    "        edgecolor = \"none\", \n",
    "#         color = ['lightgray', 'lightpink', 'palevioletred', 'mediumvioletred']\n",
    "        color = ['#D7BED7', '#FFC0CB', '#f29ec8', '#DE5D83'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height(), 1))  if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 padding=5,\n",
    "                 size = 23) # add a container object \"c\" as first argument\n",
    "    \n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=2.7)\n",
    "\n",
    "list_stddev = [32.8, 30.5, 28.4, 27.0, 27.0, 26.9, 26.9, 25.7, 25.2, 23.8]\n",
    "# plot1.set_xticklabels((all_diff_topics_plot['Topic'].to_list()))\n",
    "plot1.set_xticklabels((topic + \"- \\n\" + str(std_dev)+'σ' for topic, std_dev in zip(all_diff_topics_plot['Topic'].to_list(), list_stddev)))\n",
    "plot1.set_xlabel(\"Topic\")\n",
    "plot1.set_ylabel(\"Recall score\")\n",
    "ax.legend(loc='upper right', prop = {\"size\": 16})\n",
    "\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/most_deviation_topics.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4826bef5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "744426df",
   "metadata": {},
   "source": [
    "### Top 10 topics with Best F1 score (Appendix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "bd197c10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>F1 Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>glasses or lenses</td>\n",
       "      <td>0.8729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>wall clock</td>\n",
       "      <td>0.7836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>tv</td>\n",
       "      <td>0.7070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>moped/motorcycle</td>\n",
       "      <td>0.6928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>hair brush/comb</td>\n",
       "      <td>0.6788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>bike</td>\n",
       "      <td>0.6572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>phone</td>\n",
       "      <td>0.6537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>chickens</td>\n",
       "      <td>0.6522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>lock on front door</td>\n",
       "      <td>0.6515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>hand palm</td>\n",
       "      <td>0.6395</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Topic  F1 Score\n",
       "166   glasses or lenses    0.8729\n",
       "86           wall clock    0.7836\n",
       "54                   tv    0.7070\n",
       "160    moped/motorcycle    0.6928\n",
       "68      hair brush/comb    0.6788\n",
       "55                 bike    0.6572\n",
       "11                phone    0.6537\n",
       "87             chickens    0.6522\n",
       "159  lock on front door    0.6515\n",
       "121           hand palm    0.6395"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_topics1 = topic2F1_df.sort_values(['F1 Score'], ascending = False).head(10)\n",
    "best_topics = best_topics1[['Topic','F1 Score']].copy()\n",
    "best_topics['F1 Score'] = [x/100 for x in list(best_topics['F1 Score'])]\n",
    "best_topics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "dd209527",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (12, 6))\n",
    "# Plot\n",
    "plot1 = best_topics.sort_values('F1 Score').plot(kind = \"bar\",\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#f29ec8'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height() * 100, 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 size\n",
    " = 17) # add a container object \"c\" as first argument\n",
    "    \n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=2.5)\n",
    "\n",
    "plot1.set_xticklabels(list(best_topics.sort_values('F1 Score').Topic))\n",
    "plot1.set_xlabel(\"Topics\")\n",
    "plot1.set_ylabel(\"F1 Score\")\n",
    "plot1.set_title(\"Top 10 topics with highest F1 score\")\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.legend('', frameon=False)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/highestF1_topics.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bcbe5d7",
   "metadata": {},
   "source": [
    "### Top 10 topics with worst F1 score (Appendix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "0388795f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Unnamed: 0         Topic  F1 Score\n",
      "107         107  cooking pots     37.24\n"
     ]
    }
   ],
   "source": [
    "worst_top = topic2F1_df[topic2F1_df['F1 Score'] != 0].copy()\n",
    "worst_topics1 = worst_top.sort_values(['F1 Score'], ascending = True).head(10)\n",
    "#worst_topics1\n",
    "print(worst_top[worst_top['Topic'] == 'cooking pots'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "fbe586ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Unnamed: 0         Topic  F1 Score\n",
      "260         260  water outlet      21.9\n"
     ]
    }
   ],
   "source": [
    "print(worst_top[worst_top['Topic'] == 'water outlet'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "d461f33e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Unnamed: 0      Topic  F1 Score\n",
      "261         261   drainage     32.41\n"
     ]
    }
   ],
   "source": [
    "print(worst_top[worst_top['Topic'] == ' drainage'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "687d1790",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Topic</th>\n",
       "      <th>F1 Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>smoke and steam exit</td>\n",
       "      <td>0.0086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>using toilet</td>\n",
       "      <td>0.0103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>dinner guests</td>\n",
       "      <td>0.0213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>house overview</td>\n",
       "      <td>0.0286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>cleaning after toilet</td>\n",
       "      <td>0.0286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>photo guide images</td>\n",
       "      <td>0.0325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>bowls</td>\n",
       "      <td>0.0455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>place where serving guests</td>\n",
       "      <td>0.0625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>waste dumps</td>\n",
       "      <td>0.0632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>walking to get water</td>\n",
       "      <td>0.0774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Topic  F1 Score\n",
       "109        smoke and steam exit    0.0086\n",
       "240                using toilet    0.0103\n",
       "118               dinner guests    0.0213\n",
       "249              house overview    0.0286\n",
       "92        cleaning after toilet    0.0286\n",
       "204          photo guide images    0.0325\n",
       "60                        bowls    0.0455\n",
       "20   place where serving guests    0.0625\n",
       "30                  waste dumps    0.0632\n",
       "245        walking to get water    0.0774"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#worst_topics1 = topic2F1_df.sort_values(['F1 Score'], ascending = True).head(10)\n",
    "worst_topics = worst_topics1[['Topic','F1 Score']].copy()\n",
    "worst_topics['F1 Score'] = [x/100 for x in list(worst_topics['F1 Score'])]\n",
    "worst_topics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "39669fc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (12, 6))\n",
    "# Plot\n",
    "plot1 = worst_topics.sort_values('F1 Score').plot(kind = \"bar\",\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#f29ec8'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height() * 100, 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 size = 17) # add a container object \"c\" as first argumentUsual_topics = []\n",
    "for key in Forget_ratio_perincomelevel_pertopic.keys():\n",
    "    poor = Forget_ratio_perincomelevel_pertopic[key]['poor']\n",
    "    rich = Forget_ratio_perincomelevel_pertopic[key]['rich']\n",
    "    low_mid = Forget_ratio_perincomelevel_pertopic[key]['lower-middle']\n",
    "    up_mid = Forget_ratio_perincomelevel_pertopic[key]['upper-middle']\n",
    "    if (poor > rich) and (poor > up_mid) and (poor > low_mid):\n",
    "        Usual_topics.append(key)\n",
    "    \n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=2.5)\n",
    "\n",
    "plot1.set_xticklabels(list(worst_topics.sort_values('F1 Score').Topic)) #paragraph explaining the process of the experiment and the calc\n",
    "plot1.set_xlabel(\"Topics\")\n",
    "plot1.set_ylabel(\"F1 Score\")\n",
    "plot1.set_title(\"Top 10 topics with lowest F1 score\")\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.legend('', frameon=False)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('Images/lowestF1_topics.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8479225",
   "metadata": {},
   "source": [
    "### Topics where Poor has higher Recall than other classes (Appendix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "20c35ce0",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_best_topic = ['radio',\n",
    " 'sitting and watching tv',\n",
    " 'fishes',\n",
    " 'cooking pots',\n",
    " 'phone',\n",
    " 'menstruation pads / tampax']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "b1637d24",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_FN = []\n",
    "rich_FN = []\n",
    "upper_middle_FN = []\n",
    "lower_middle_FN = []\n",
    "FN_rate_lst = []\n",
    "topic_lst = []\n",
    "\n",
    "\n",
    "for topic in poor_best_topic:\n",
    "    temp_d = Forget_ratio_perincomelevel_pertopic[topic]\n",
    "    poor_FN.append(temp_d['poor'])\n",
    "    rich_FN.append(temp_d['rich'])\n",
    "    upper_middle_FN.append(temp_d['upper-middle'])\n",
    "    lower_middle_FN.append(temp_d['lower-middle'])\n",
    "    topic_lst.append(topic)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "f59345d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_best_topics_df = pd.DataFrame()\n",
    "poor_best_topics_df['Topic'] = topic_lst\n",
    "poor_best_topics_df['poor'] = [1 - x for x in poor_FN]\n",
    "poor_best_topics_df['poor'] *= 100\n",
    "poor_best_topics_df['low-mid'] = [1 - x for x in lower_middle_FN] \n",
    "poor_best_topics_df['low-mid'] *=100\n",
    "poor_best_topics_df['up-mid'] = [1 - x for x in upper_middle_FN]\n",
    "poor_best_topics_df['up-mid'] *=100\n",
    "poor_best_topics_df['rich'] = [1 - x for x in rich_FN]\n",
    "poor_best_topics_df['rich'] *= 100 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "fed94686",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_best_topics_df1 = poor_best_topics_df[poor_best_topics_df['Topic'] != 'sitting and watching tv']\n",
    "poor_best_topics_df2 = poor_best_topics_df1[poor_best_topics_df1['Topic'] != 'fishes']\n",
    "#poor_best_topics_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "6819784a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (12, 6))\n",
    "# Plot\n",
    "plot1 = poor_best_topics_df2.plot(kind = \"bar\",\n",
    "        stacked = True,\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#D7BED7', '#FFC0CB', '#f29ec8', '#DE5D83'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height(), 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 size = 17) # add a container object \"c\" as first argument\n",
    "    \n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=1.7)\n",
    "\n",
    "plot1.set_xticklabels(('radio', 'cooking pots', 'phone', 'menstruation pads / tampax'))\n",
    "plot1.set_xlabel(\"Topic\")\n",
    "plot1.set_ylabel(\"Recall\")\n",
    "ax.legend(loc='upper right', prop = {\"size\": 14})\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('Images/higher_poor_recall.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e08050c",
   "metadata": {},
   "source": [
    "### plot recall across income level for ' drainage', 'water outlet', 'cooking pots', 'hair brush/comb'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "7d396aa4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'upper-middle': 0.3493975903614458,\n",
       "         'rich': 0.37681159420289856,\n",
       "         'poor': 0.19512195121951215,\n",
       "         'lower-middle': 0.38888888888888884})"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Recall_perincomelevel_pertopic[' drainage']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "66d940bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_list = [' drainage', 'hair brush/comb']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "55d6449e",
   "metadata": {},
   "outputs": [],
   "source": [
    "poor_FN = []\n",
    "rich_FN = []\n",
    "upper_middle_FN = []\n",
    "lower_middle_FN = []\n",
    "FN_rate_lst = []\n",
    "topic_lst = []\n",
    "\n",
    "\n",
    "for topic in plot_list:\n",
    "    temp_d = Forget_ratio_perincomelevel_pertopic[topic]\n",
    "    poor_FN.append(temp_d['poor'])\n",
    "    rich_FN.append(temp_d['rich'])\n",
    "    upper_middle_FN.append(temp_d['upper-middle'])\n",
    "    lower_middle_FN.append(temp_d['lower-middle'])\n",
    "    topic_lst.append(topic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "3f0c90bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "worse_best_topics_df = pd.DataFrame()\n",
    "worse_best_topics_df['Topic'] = topic_lst\n",
    "worse_best_topics_df['poor'] = [1 - x for x in poor_FN]\n",
    "worse_best_topics_df['poor'] *= 100\n",
    "worse_best_topics_df['low-mid'] = [1 - x for x in lower_middle_FN] \n",
    "worse_best_topics_df['low-mid'] *=100\n",
    "worse_best_topics_df['up-mid'] = [1 - x for x in upper_middle_FN]\n",
    "worse_best_topics_df['up-mid'] *=100\n",
    "worse_best_topics_df['rich'] = [1 - x for x in rich_FN]\n",
    "worse_best_topics_df['rich'] *= 100 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "84906836",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (12, 6))\n",
    "# Plot\n",
    "plot1 = worse_best_topics_df.plot(kind = \"bar\",\n",
    "        stacked = True,\n",
    "        ax = ax,\n",
    "        width = 0.5,\n",
    "        edgecolor = \"none\", color = ['#D7BED7', '#FFC0CB', '#f29ec8', '#DE5D83'])\n",
    "\n",
    "for c in ax.containers:\n",
    "    labels = [str(round(v.get_height(), 1)) if v.get_height() > 0 else '' for v in c]\n",
    "    #cnt +=1\n",
    "    ax.bar_label(c,\n",
    "                 label_type='center',\n",
    "                 labels = labels,\n",
    "                 size = 17) # add a container object \"c\" as first argument\n",
    "    \n",
    "\n",
    "sns.set_theme(style='whitegrid', context='paper', font_scale=1.7)\n",
    "\n",
    "plot1.set_xticklabels((worse_best_topics_df.Topic))\n",
    "plot1.set_xlabel(\"Topic\")\n",
    "plot1.set_ylabel(\"Recall\")\n",
    "ax.legend(loc='center', prop = {\"size\": 14})\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig('Images/worse_best_recall.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "782b1b63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'upper-middle': 54, 'rich': 43, 'poor': 66, 'lower-middle': 44})"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_topic2FNIncomelevels[' drainage']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "cf566074",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'upper-middle': 0.3012048192771084,\n",
       "         'rich': 0.3913043478260869,\n",
       "         'lower-middle': 0.19444444444444442,\n",
       "         'poor': 0.012195121951219523})"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Recall_perincomelevel_pertopic['water outlet']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "4b27642e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'poor': 0.4148936170212766,\n",
       "         'upper-middle': 0.7938144329896908,\n",
       "         'rich': 0.7073170731707317,\n",
       "         'lower-middle': 0.69})"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Recall_perincomelevel_pertopic['lock on front door']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "003f1b0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'lower-middle': 0.41836734693877553,\n",
       "         'poor': 0.5423728813559322,\n",
       "         'upper-middle': 0.2857142857142857,\n",
       "         'rich': 0.1558441558441559})"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Recall_perincomelevel_pertopic['cooking pots']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "3bae3cc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'rich': 0.7047619047619047,\n",
       "         'upper-middle': 0.6545454545454545,\n",
       "         'poor': 0.6770833333333333,\n",
       "         'lower-middle': 0.6764705882352942})"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Recall_perincomelevel_pertopic['hair brush/comb']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f205f4c8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0fe5fbc2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}