Data_preparation_cleaning_FeatureSelection.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"mq763dmnzmtU"},"source":["#Hello!\n","In this notebook, we will prepare our data and ensure the type of each column is numerical\n","we will also select the features for our model\n","* We have 2 datasets :\n","1.  Public Data from kaggle : https://www.kaggle.com/datasets/aditiharsh/mental-health-dataset\n","2.  Data collected from a survey via social media"]},{"cell_type":"markdown","metadata":{"id":"oDPafOi803cd"},"source":["###Chapters :     \n","1.  Preparing and cleaning of public Data\n","2.  Preparing and cleaning of collected data\n","3.  Merging the two dataframes \n","4.  Encoding \n","5.  Creating a HeatMap for correlation"]},{"cell_type":"markdown","metadata":{"id":"H5ze5jQO1YZ3"},"source":["##1- Preparing and cleaning of public Data"]},{"cell_type":"markdown","metadata":{"id":"hbopJdh02Hay"},"source":["####Importing Data"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":932,"status":"ok","timestamp":1670143025114,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"qIYYVmax1e4f"},"outputs":[],"source":["#Import library\n","import pandas as pd"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21604,"status":"ok","timestamp":1670143046713,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Dz8E7Jm01mtX","outputId":"45296268-52e2-4d56-d7d7-72dd398bf41f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["#drive mount\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":745,"status":"ok","timestamp":1670143047438,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"SATZZOg61obV","outputId":"57ea2356-79e5-4533-c16a-69e85bbd0ee4"},"outputs":[{"name":"stdout","output_type":"stream","text":[" data_for_model1.csv\n"," data_for_model2.csv\n","'Data_preparation&cleaning&FeatureSelection.ipynb'\n"," Final_data.csv\n"," Mental-Health-Questionnaire-2.0.csv\n"," Mental-Health-Survey-Form-responses.csv\n"," Model-A.ipynb\n"," Model-B.ipynb\n"]}],"source":["#verify the path\n","folder_path = \"/content/drive/MyDrive/My_work/TuniHack_work/data\"\n","!ls \"/content/drive/MyDrive/My_work/TuniHack_work/data\""]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":785},"executionInfo":{"elapsed":578,"status":"ok","timestamp":1670143048010,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"nGZnp6-91zaD","outputId":"c05ea42c-75c3-49e6-ac11-40f9ecefc826"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-a7d04fee-f6f7-4ca8-be2d-e7f86509b915\">\n","    <div class=\"colab-df-container\">\n","      <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>Timestamp</th>\n","      <th>Email address</th>\n","      <th>Name</th>\n","      <th>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      <th>Employment Status</th>\n","      <th>City</th>\n","      <th>How are you feeling today?</th>\n","      <th>eating and sleeping</th>\n","      <th>(If sad)have you been in the same mental state for the past few days?</th>\n","      <th>...</th>\n","      <th>Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?</th>\n","      <th>Do you feel bad about yourself — or that you are a failure or have let yourself or your family down?</th>\n","      <th>How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?</th>\n","      <th>If sad, how likely are you to take an appointment with a psychologist or a counsellor for your current mental state?</th>\n","      <th>Has the COVID-19 pandemic affected your mental well being?</th>\n","      <th>How often do you get offended or angry or start crying ?</th>\n","      <th>How likely do you feel yourself vulnerable or lonely?</th>\n","      <th>How comfortable are you in talking about your mental health?</th>\n","      <th>Prediction</th>\n","      <th>Prediction_status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>09-12-2021 23:54</td>\n","      <td>riyaaditi2@gmail.com</td>\n","      <td>Aditi Harsh</td>\n","      <td>Female</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 3 (Other cities/towns)</td>\n","      <td>Fine</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>36</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>10-12-2021 08:40</td>\n","      <td>imcrazyashutosh@gmail.com</td>\n","      <td>Ashutosh Kumar</td>\n","      <td>Male</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Fine</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>33</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>10-12-2021 21:48</td>\n","      <td>atharv23srivastava@gmail.com</td>\n","      <td>Atharv srivastava</td>\n","      <td>Male</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 1 (Delhi, Mumbai, Bangalore, Chennai, Kol...</td>\n","      <td>Fine</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>...</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>More than 10 hours</td>\n","      <td>1.0</td>\n","      <td>Yes</td>\n","      <td>Sometimes</td>\n","      <td>2.0</td>\n","      <td>NaN</td>\n","      <td>34</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>10-12-2021 21:50</td>\n","      <td>ritulricha22@gmail.com</td>\n","      <td>Rimi</td>\n","      <td>Female</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 3 (Other cities/towns)</td>\n","      <td>Fine</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>2-5 hours</td>\n","      <td>1.0</td>\n","      <td>Yes</td>\n","      <td>Often</td>\n","      <td>4.0</td>\n","      <td>NaN</td>\n","      <td>35</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>10-12-2021 21:55</td>\n","      <td>nisha18054@gmail.com</td>\n","      <td>Jaya singh</td>\n","      <td>Female</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Good</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>5-10 hours</td>\n","      <td>1.0</td>\n","      <td>Not sure</td>\n","      <td>Sometimes</td>\n","      <td>4.0</td>\n","      <td>NaN</td>\n","      <td>33</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 32 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a7d04fee-f6f7-4ca8-be2d-e7f86509b915')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-a7d04fee-f6f7-4ca8-be2d-e7f86509b915 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Employment Status  \\\n","0                             No           Student   \n","1                             No           Student   \n","2                             No           Student   \n","3                             No           Student   \n","4                             No           Student   \n","\n","                                                City  \\\n","0                        Tier 3 (Other cities/towns)   \n","1               Tier 2 (Capital cities Eg. Lucknow )   \n","2  Tier 1 (Delhi, Mumbai, Bangalore, Chennai, Kol...   \n","3                        Tier 3 (Other cities/towns)   \n","4               Tier 2 (Capital cities Eg. Lucknow )   \n","\n","  How are you feeling today? eating and sleeping  \\\n","0                       Fine                 Yes   \n","1                       Fine                  No   \n","2                       Fine                  No   \n","3                       Fine                  No   \n","4                       Good                 Yes   \n","\n","  (If sad)have you been in the same mental state for the past few days?  ...  \\\n","0                                                 No                     ...   \n","1                                                Yes                     ...   \n","2                                              Maybe                     ...   \n","3                                              Maybe                     ...   \n","4                                                 No                     ...   \n","\n","  Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?  \\\n","0                                                 No                                                           \n","1                                                Yes                                                           \n","2                                              Maybe                                                           \n","3                                                Yes                                                           \n","4                                                 No                                                           \n","\n","  Do you feel bad about yourself — or that you are a failure or have let yourself or your family down?  \\\n","0                                                 No                                                     \n","1                                                Yes                                                     \n","2                                              Maybe                                                     \n","3                                                Yes                                                     \n","4                                                 No                                                     \n","\n","  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?  \\\n","0                                                NaN                                                  \n","1                                                NaN                                                  \n","2                                 More than 10 hours                                                  \n","3                                          2-5 hours                                                  \n","4                                         5-10 hours                                                  \n","\n","  If sad, how likely are you to take an appointment with a psychologist or a counsellor for your current mental state?  \\\n","0                                                NaN                                                                     \n","1                                                NaN                                                                     \n","2                                                1.0                                                                     \n","3                                                1.0                                                                     \n","4                                                1.0                                                                     \n","\n","  Has the COVID-19 pandemic affected your mental well being?  \\\n","0                                                NaN           \n","1                                                NaN           \n","2                                                Yes           \n","3                                                Yes           \n","4                                           Not sure           \n","\n","   How often do you get offended or angry or start crying ?  \\\n","0                                                NaN          \n","1                                                NaN          \n","2                                          Sometimes          \n","3                                              Often          \n","4                                          Sometimes          \n","\n","  How likely do you feel yourself vulnerable or lonely?  \\\n","0                                                NaN      \n","1                                                NaN      \n","2                                                2.0      \n","3                                                4.0      \n","4                                                4.0      \n","\n","  How comfortable are you in talking about your mental health? Prediction  \\\n","0                                                NaN                   36   \n","1                                                NaN                   33   \n","2                                                NaN                   34   \n","3                                                NaN                   35   \n","4                                                NaN                   33   \n","\n","  Prediction_status  \n","0               Yes  \n","1                No  \n","2                No  \n","3               Yes  \n","4                No  \n","\n","[5 rows x 32 columns]"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["#assign data \n","data_path = folder_path + \"/Mental-Health-Questionnaire-2.0.csv\"\n","#read data\n","public_data = pd.read_csv(data_path)\n","public_data.head()"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17,"status":"ok","timestamp":1670143048011,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Q50B3LMZ19HV","outputId":"04e855f0-ceae-418b-de68-b0a5935575f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["(158, 32)\n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 158 entries, 0 to 157\n","Data columns (total 32 columns):\n"," #   Column                                                                                                                Non-Null Count  Dtype  \n","---  ------                                                                                                                --------------  -----  \n"," 0   Timestamp                                                                                                             158 non-null    object \n"," 1   Email address                                                                                                         158 non-null    object \n"," 2   Name                                                                                                                  158 non-null    object \n"," 3   Gender                                                                                                                158 non-null    object \n"," 4   Are you above 30 years of age?                                                                                        158 non-null    object \n"," 5   Employment Status                                                                                                     158 non-null    object \n"," 6   City                                                                                                                  158 non-null    object \n"," 7   How are you feeling today?                                                                                            158 non-null    object \n"," 8   eating and sleeping                                                                                                   158 non-null    object \n"," 9   (If sad)have you been in the same mental state for the past few days?                                                 147 non-null    object \n"," 10  Is your sadness momentarily or has it been constant for a long time?                                                  158 non-null    object \n"," 11  At what time of the day are you extremely low?                                                                        158 non-null    object \n"," 12  Has there been a sudden and huge change in your life?                                                                 158 non-null    object \n"," 13  Your stress is related to which of the following areas?                                                               158 non-null    object \n"," 14  How frequently have you had little pleasure or interest in the activities you usually enjoy?                          158 non-null    object \n"," 15  How confident you have been feeling in your capabilities recently.                                                    158 non-null    int64  \n"," 16  Describe how ‘supported’ you feel by others around you – your friends, family, or otherwise.                          158 non-null    object \n"," 17  How frequently have you been doing things that mean something to you or your life?                                    158 non-null    object \n"," 18  If you have a mental health condition, do you feel that it interferes with your work?                                 158 non-null    object \n"," 19  How easy is it for you to take medical leave for a mental health condition?                                           158 non-null    object \n"," 20  How often do you make use of substance abuse(e.g. smoking, alcohol)?                                                  158 non-null    object \n"," 21  Have you taken any therapy or medication in the near past for mental health?                                          155 non-null    object \n"," 22  Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?            158 non-null    object \n"," 23  Do you feel bad about yourself — or that you are a failure or have let yourself or your family down?                  157 non-null    object \n"," 24  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?                     155 non-null    object \n"," 25  If sad, how likely are you to take an appointment with a psychologist or a counsellor for your current mental state?  150 non-null    float64\n"," 26  Has the COVID-19 pandemic affected your mental well being?                                                            155 non-null    object \n"," 27  How often do you get offended or angry or start crying ?                                                              155 non-null    object \n"," 28  How likely do you feel yourself vulnerable or lonely?                                                                 155 non-null    float64\n"," 29  How comfortable are you in talking about your mental health?                                                          116 non-null    float64\n"," 30  Prediction                                                                                                            158 non-null    int64  \n"," 31  Prediction_status                                                                                                     158 non-null    object \n","dtypes: float64(3), int64(2), object(27)\n","memory usage: 39.6+ KB\n","None\n"]}],"source":["print(public_data.shape)\n","print(public_data.info())"]},{"cell_type":"markdown","metadata":{"id":"0aNGT-Gk2NzY"},"source":["####Data cleaning \n","* Steps:\n","1. Remove thoses columns : \n","Email address / name / How easy is it for you to take medical leave for a mental health condition? / If sad, how likely are you to take an appointment with a psychologist or a counsellor for your current mental state? / Has the COVID-19 pandemic affected your mental well being? / Prediction / Timestamp\n","\n","2.  Change column name\n","\n","2.  Deal with missing values"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":363,"status":"ok","timestamp":1670143048365,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"NfPhfJK260mW"},"outputs":[],"source":["# 1- Remove unused columns\n","public_data=public_data.drop(['Name','Email address','How easy is it for you to take medical leave for a mental health condition?',\n","                              'If sad, how likely are you to take an appointment with a psychologist or a counsellor for your current mental state?',\n","                              'Has the COVID-19 pandemic affected your mental well being?','Prediction','Timestamp'],axis=1)"]},{"cell_type":"code","execution_count":7,"metadata":{"executionInfo":{"elapsed":364,"status":"ok","timestamp":1670143048367,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"3E6-V4bx7Xfl"},"outputs":[],"source":["# 2- Change column name\n","public_data.rename(columns={'How are you feeling today?': 'Mood (fine,good,sad)', \n","                            'How confident you have been feeling in your capabilities': 'level of confidence sur 5',\n","                            'Describe how ‘supported’ you feel by others around you – your friends, family, or otherwise.': 'level of support from family and friends'}, inplace=True)"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":84,"status":"ok","timestamp":1670143048368,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"2zGjYqdh8CVR","outputId":"3a45a3f9-afe2-4dac-e994-3759355e7e8f"},"outputs":[{"data":{"text/plain":["Gender                                                                                                         0\n","Are you above 30 years of age?                                                                                 0\n","Employment Status                                                                                              0\n","City                                                                                                           0\n","Mood (fine,good,sad)                                                                                           0\n","eating and sleeping                                                                                            0\n","(If sad)have you been in the same mental state for the past few days?                                         11\n","Is your sadness momentarily or has it been constant for a long time?                                           0\n","At what time of the day are you extremely low?                                                                 0\n","Has there been a sudden and huge change in your life?                                                          0\n","Your stress is related to which of the following areas?                                                        0\n","How frequently have you had little pleasure or interest in the activities you usually enjoy?                   0\n","How confident you have been feeling in your capabilities recently.                                             0\n","level of support from family and friends                                                                       0\n","How frequently have you been doing things that mean something to you or your life?                             0\n","If you have a mental health condition, do you feel that it interferes with your work?                          0\n","How often do you make use of substance abuse(e.g. smoking, alcohol)?                                           0\n","Have you taken any therapy or medication in the near past for mental health?                                   3\n","Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?     0\n","Do you feel bad about yourself — or that you are a failure or have let yourself or your family down?           1\n","How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?              3\n","How often do you get offended or angry or start crying ?                                                       3\n","How likely do you feel yourself vulnerable or lonely?                                                          3\n","How comfortable are you in talking about your mental health?                                                  42\n","Prediction_status                                                                                              0\n","dtype: int64"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# 3- Deal with missing values\n","public_data.isna().sum()"]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":81,"status":"ok","timestamp":1670143048369,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"ONIBGADC-QWq","outputId":"21e2967d-1846-484b-cd0c-003758f1542e"},"outputs":[{"data":{"text/plain":["Gender                                                                                                        0.000000\n","Are you above 30 years of age?                                                                                0.000000\n","Employment Status                                                                                             0.000000\n","City                                                                                                          0.000000\n","Mood (fine,good,sad)                                                                                          0.000000\n","eating and sleeping                                                                                           0.000000\n","(If sad)have you been in the same mental state for the past few days?                                         0.069620\n","Is your sadness momentarily or has it been constant for a long time?                                          0.000000\n","At what time of the day are you extremely low?                                                                0.000000\n","Has there been a sudden and huge change in your life?                                                         0.000000\n","Your stress is related to which of the following areas?                                                       0.000000\n","How frequently have you had little pleasure or interest in the activities you usually enjoy?                  0.000000\n","How confident you have been feeling in your capabilities recently.                                            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Employment Status  \\\n","0  Female                             No           Student   \n","1    Male                             No           Student   \n","2    Male                             No           Student   \n","3  Female                             No           Student   \n","4  Female                             No           Student   \n","\n","                                                City Mood (fine,good,sad)  \\\n","0                        Tier 3 (Other cities/towns)                 Fine   \n","1               Tier 2 (Capital cities Eg. Lucknow )                 Fine   \n","2  Tier 1 (Delhi, Mumbai, Bangalore, Chennai, Kol...                 Fine   \n","3                        Tier 3 (Other cities/towns)                 Fine   \n","4               Tier 2 (Capital cities Eg. Lucknow )                 Good   \n","\n","  eating and sleeping  \\\n","0                 Yes   \n","1                  No   \n","2                  No   \n","3                  No   \n","4                 Yes   \n","\n","  (If sad)have you been in the same mental state for the past few days?  \\\n","0                                                 No                      \n","1                                                Yes                      \n","2                                              Maybe                      \n","3                                              Maybe                      \n","4                                                 No                      \n","\n","  Is your sadness momentarily or has it been constant for a long time?  \\\n","0                                      For some time                     \n","1                                      For some time                     \n","2                                   Significant time                     \n","3                                   Significant time                     \n","4                                            Not sad                     \n","\n","  At what time of the day are you extremely low?  \\\n","0                                        Evening   \n","1                                        Morning   \n","2                                        Evening   \n","3                                        Evening   \n","4                                      Afternoon   \n","\n","  Has there been a sudden and huge change in your life?  ...  \\\n","0                                                 No     ...   \n","1                                                Yes     ...   \n","2                                                 No     ...   \n","3                                           Not sure     ...   \n","4                                                Yes     ...   \n","\n","  If you have a mental health condition, do you feel that it interferes with your work?  \\\n","0                                                Yes                                      \n","1                                                Yes                                      \n","2                                                 No                                      \n","3                                                Yes                                      \n","4                                                Yes                                      \n","\n","  How often do you make use of substance abuse(e.g. smoking, alcohol)?  \\\n","0                                              Never                     \n","1                                              Never                     \n","2                                              Never                     \n","3                                              Never                     \n","4                                              Never                     \n","\n","   Have you taken any therapy or medication in the near past for mental health?  \\\n","0                                                 No                              \n","1                                                 No                              \n","2                                                 No                              \n","3                                                 No                              \n","4                                                 No                              \n","\n","  Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?  \\\n","0                                                 No                                                           \n","1                                                Yes                                                           \n","2                                              Maybe                                                           \n","3                                                Yes                                                           \n","4                                                 No                                                           \n","\n","  Do you feel bad about yourself — or that you are a failure or have let yourself or your family down?  \\\n","0                                                 No                                                     \n","1                                                Yes                                                     \n","2                                              Maybe                                                     \n","3                                                Yes                                                     \n","4                                                 No                                                     \n","\n","  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?  \\\n","0                                          2-5 hours                                                  \n","1                                          2-5 hours                                                  \n","2                                 More than 10 hours                                                  \n","3                                          2-5 hours                                                  \n","4                                         5-10 hours                                                  \n","\n","  How often do you get offended or angry or start crying ?  \\\n","0                                          Sometimes         \n","1                                          Sometimes         \n","2                                          Sometimes         \n","3                                              Often         \n","4                                          Sometimes         \n","\n","  How likely do you feel yourself vulnerable or lonely?  \\\n","0                                                4.0      \n","1                                                4.0      \n","2                                                2.0      \n","3                                                4.0      \n","4                                                4.0      \n","\n","  How comfortable are you in talking about your mental health?  \\\n","0                                                5.0             \n","1                                                5.0             \n","2                                                5.0             \n","3                                                5.0             \n","4                                                5.0             \n","\n","  Prediction_status  \n","0               Yes  \n","1                No  \n","2                No  \n","3               Yes  \n","4                No  \n","\n","[5 rows x 25 columns]"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["public_data.head()"]},{"cell_type":"markdown","metadata":{"id":"2fjgtndrBMwP"},"source":["### 2- Preparation and cleaning of collected data"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":28,"status":"ok","timestamp":1670143048650,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Z8d9NmRPBVKP","outputId":"452da256-26e4-48b8-8e4a-9d9683783d41"},"outputs":[{"name":"stdout","output_type":"stream","text":[" data_for_model1.csv\n"," data_for_model2.csv\n","'Data_preparation&cleaning&FeatureSelection.ipynb'\n"," Final_data.csv\n"," Mental-Health-Questionnaire-2.0.csv\n"," Mental-Health-Survey-Form-responses.csv\n"," Model-A.ipynb\n"," Model-B.ipynb\n"]}],"source":["#verify the path\n","folder_path = \"/content/drive/MyDrive/My_work/TuniHack_work\"\n","!ls \"/content/drive/MyDrive/My_work/TuniHack_work\""]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":500},"executionInfo":{"elapsed":309,"status":"ok","timestamp":1670143048945,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"nKvQhjgNeITM","outputId":"2a1b1580-a1ef-46c1-e7d9-911886b414f0"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-337a19cc-de7e-4040-b5eb-d1b453919f7c\">\n","    <div class=\"colab-df-container\">\n","      <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>Timestamp</th>\n","      <th>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      <th>Employment Status</th>\n","      <th>City</th>\n","      <th>How are you feeling today?</th>\n","      <th>Have you been eating and sleeping well?</th>\n","      <th>(If sad)have you been in the same mental state for the past few days?</th>\n","      <th>Is your sadness momentarily or has it been constant for a long time? (last month)</th>\n","      <th>At what time of the day are you extremely low?</th>\n","      <th>...</th>\n","      <th>If you have a mental health condition, do you feel that it interferes with your work?</th>\n","      <th>Have you taken any therapy or medication in the near past for mental health?</th>\n","      <th>Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?</th>\n","      <th>Do you feel bad about yourself or that you are a failure or have let yourself or your family down?</th>\n","      <th>How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?</th>\n","      <th>How often do you get offended or angry or start crying ?</th>\n","      <th>How often do you make use of substance abuse(e.g. smoking, alcohol)?</th>\n","      <th>How likely do you feel yourself vulnerable or lonely?</th>\n","      <th>How comfortable are you in talking about your mental health?</th>\n","      <th>Prediction_status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>03/12/2022 22:48:18</td>\n","      <td>Female</td>\n","      <td>Yes</td>\n","      <td>Student</td>\n","      <td>Tier 1 (large city)</td>\n","      <td>Good</td>\n","      <td>No</td>\n","      <td>no</td>\n","      <td>Not sad(&lt;3 days)</td>\n","      <td>Afternoon</td>\n","      <td>...</td>\n","      <td>no</td>\n","      <td>no</td>\n","      <td>yes</td>\n","      <td>yes</td>\n","      <td>2-5h</td>\n","      <td>Never</td>\n","      <td>Never</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>03/12/2022 22:48:55</td>\n","      <td>Male</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 2 (meduim city)</td>\n","      <td>Good</td>\n","      <td>Yes</td>\n","      <td>no</td>\n","      <td>Not sad(&lt;3 days)</td>\n","      <td>Evening</td>\n","      <td>...</td>\n","      <td>no</td>\n","      <td>no</td>\n","      <td>no</td>\n","      <td>no</td>\n","      <td>2-5h</td>\n","      <td>Sometimes</td>\n","      <td>Never</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>Yes</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>2 rows × 26 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-337a19cc-de7e-4040-b5eb-d1b453919f7c')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-337a19cc-de7e-4040-b5eb-d1b453919f7c button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-337a19cc-de7e-4040-b5eb-d1b453919f7c');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["             Timestamp Gender  Are you above 30 years of age?  \\\n","0  03/12/2022 22:48:18  Female                            Yes   \n","1  03/12/2022 22:48:55    Male                             No   \n","\n","  Employment Status                  City  How are you feeling today?  \\\n","0            Student   Tier 1 (large city)                       Good   \n","1            Student  Tier 2 (meduim city)                       Good   \n","\n","  Have you been eating and sleeping well?  \\\n","0                                      No   \n","1                                     Yes   \n","\n","  (If sad)have you been in the same mental state for the past few days?  \\\n","0                                                 no                      \n","1                                                 no                      \n","\n","  Is your sadness momentarily or has it been constant for a long time? (last month)  \\\n","0                                   Not sad(<3 days)                                  \n","1                                   Not sad(<3 days)                                  \n","\n","  At what time of the day are you extremely low?  ...  \\\n","0                                      Afternoon  ...   \n","1                                        Evening  ...   \n","\n","  If you have a mental health condition, do you feel that it interferes with your work?   \\\n","0                                                 no                                       \n","1                                                 no                                       \n","\n","  Have you taken any therapy or medication in the near past for mental health?   \\\n","0                                                 no                              \n","1                                                 no                              \n","\n","  Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?   \\\n","0                                                yes                                                            \n","1                                                 no                                                            \n","\n","   Do you feel bad about yourself or that you are a failure or have let yourself or your family down?   \\\n","0                                                yes                                                     \n","1                                                 no                                                     \n","\n","  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?   \\\n","0                                               2-5h                                                   \n","1                                               2-5h                                                   \n","\n","  How often do you get offended or angry or start crying ?  \\\n","0                                              Never         \n","1                                          Sometimes         \n","\n","  How often do you make use of substance abuse(e.g. smoking, alcohol)?  \\\n","0                                              Never                     \n","1                                              Never                     \n","\n","  How likely do you feel yourself vulnerable or lonely?  \\\n","0                                                  2      \n","1                                                  2      \n","\n","  How comfortable are you in talking about your mental health?  \\\n","0                                                  1             \n","1                                                  3             \n","\n","  Prediction_status  \n","0                No  \n","1               Yes  \n","\n","[2 rows x 26 columns]"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["#assign data \n","data_path = folder_path + \"/Mental-Health-Survey-Form-responses.csv\"\n","#read data\n","survey_data = pd.read_csv(data_path)\n","survey_data.head(n=2)"]},{"cell_type":"markdown","metadata":{"id":"gaX_C0YZ0Vea"},"source":["###Data cleaning "]},{"cell_type":"code","execution_count":30,"metadata":{"executionInfo":{"elapsed":27,"status":"ok","timestamp":1670143048947,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"ReVXRSoSeIWg"},"outputs":[],"source":["#Remove unused columns \n","survey_data=survey_data.drop(['Timestamp'],axis=1)"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26,"status":"ok","timestamp":1670143048948,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Rs_oJHHSmhCB","outputId":"b9804850-544b-4fb9-efa2-b77204dd0ed6"},"outputs":[{"data":{"text/plain":["Index(['Gender ', 'Are you above 30 years of age?', 'Employment Status ',\n","       'City ', 'How are you feeling today?',\n","       'Have you been eating and sleeping well?',\n","       '(If sad)have you been in the same mental state for the past few days?',\n","       'Is your sadness momentarily or has it been constant for a long time? (last month)',\n","       'At what time of the day are you extremely low?',\n","       'Has there been a sudden and huge change in your life?',\n","       'Your stress is related to which of the following areas?',\n","       'How frequently have you had little pleasure or interest in the activities you usually enjoy?',\n","       'How confident you have been feeling in your capabilities recently.',\n","       'Describe how supported you feel by others around you ( your friends, family, or otherwise.)',\n","       'How frequently have you been doing things that mean something to you or your life? ',\n","       'If you have a mental health condition, do you feel that it interferes with your work? ',\n","       'Have you taken any therapy or medication in the near past for mental health? ',\n","       'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying? ',\n","       'Do you feel bad about yourself or that you are a failure or have let yourself or your family down? ',\n","       'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.? ',\n","       'How often do you get offended or angry or start crying ?',\n","       'How often do you make use of substance abuse(e.g. smoking, alcohol)?',\n","       'How likely do you feel yourself vulnerable or lonely?',\n","       'How comfortable are you in talking about your mental health?',\n","       'Prediction_status'],\n","      dtype='object')"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["survey_data.columns"]},{"cell_type":"code","execution_count":32,"metadata":{"executionInfo":{"elapsed":21,"status":"ok","timestamp":1670143048950,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"xeusKkA9mhFW"},"outputs":[],"source":["#Change columns names for public data\n","\n","#Change columns order\n","column = list(public_data.columns)\n","ste=[column[16]]\n","column = column[:16]+column[17:22]+ste+column[22:]\n","public_data = public_data[column]"]},{"cell_type":"code","execution_count":33,"metadata":{"executionInfo":{"elapsed":20,"status":"ok","timestamp":1670143048951,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"qveqluZLnFar"},"outputs":[],"source":["public_data.columns = survey_data.columns"]},{"cell_type":"code","execution_count":34,"metadata":{"executionInfo":{"elapsed":19,"status":"ok","timestamp":1670143048951,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"P0dVQNhBqnrY"},"outputs":[],"source":["survey_data.rename(columns={'Gender ': 'Gender', \n","                            'City ': 'City',\n","                            'Employment Status ': 'Employment Status',\n","                            'How frequently have you been doing things that mean something to you or your life? ':'How frequently have you been doing things that mean something to you or your life?',\n","                            'If you have a mental health condition, do you feel that it interferes with your work? ':'If you have a mental health condition, do you feel that it interferes with your work?',\n","                            'Have you taken any therapy or medication in the near past for mental health? ':'Have you taken any therapy or medication in the near past for mental health?',\n","                            'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying? ':'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?',\n","                            'Do you feel bad about yourself or that you are a failure or have let yourself or your family down? ':'Do you feel bad about yourself or that you are a failure or have let yourself or your family down?',\n","                            'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.? ':'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?'}, \n","                      inplace=True)\n","public_data.rename(columns={'Gender ': 'Gender', \n","                            'City ': 'City',\n","                            'Employment Status ': 'Employment Status',\n","                            'How frequently have you been doing things that mean something to you or your life? ':'How frequently have you been doing things that mean something to you or your life?',\n","                            'If you have a mental health condition, do you feel that it interferes with your work? ':'If you have a mental health condition, do you feel that it interferes with your work?',\n","                            'Have you taken any therapy or medication in the near past for mental health? ':'Have you taken any therapy or medication in the near past for mental health?',\n","                            'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying? ':'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?',\n","                            'Do you feel bad about yourself or that you are a failure or have let yourself or your family down? ':'Do you feel bad about yourself or that you are a failure or have let yourself or your family down?',\n","                            'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.? ':'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?'}, \n","                      inplace=True)"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":409,"status":"ok","timestamp":1670143049342,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"2ns3y3wOqsfZ","outputId":"3c43dfb4-5172-47e2-8208-caa3e731dba5"},"outputs":[{"data":{"text/plain":["Gender                                                                                                        0\n","Are you above 30 years of age?                                                                                0\n","Employment Status                                                                                             0\n","City                                                                                                          0\n","How are you feeling today?                                                                                    0\n","Have you been eating and sleeping well?                                                                       0\n","(If sad)have you been in the same mental state for the past few days?                                         0\n","Is your sadness momentarily or has it been constant for a long time? (last month)                             0\n","At what time of the day are you extremely low?                                                                0\n","Has there been a sudden and huge change in your life?                                                         0\n","Your stress is related to which of the following areas?                                                       0\n","How frequently have you had little pleasure or interest in the activities you usually enjoy?                  0\n","How confident you have been feeling in your capabilities recently.                                            0\n","Describe how supported you feel by others around you ( your friends, family, or otherwise.)                   0\n","How frequently have you been doing things that mean something to you or your life?                            0\n","If you have a mental health condition, do you feel that it interferes with your work?                         0\n","Have you taken any therapy or medication in the near past for mental health?                                  0\n","Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?    0\n","Do you feel bad about yourself or that you are a failure or have let yourself or your family down?            0\n","How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?             0\n","How often do you get offended or angry or start crying ?                                                      0\n","How often do you make use of substance abuse(e.g. smoking, alcohol)?                                          0\n","How likely do you feel yourself vulnerable or lonely?                                                         0\n","How comfortable are you in talking about your mental health?                                                  0\n","Prediction_status                                                                                             0\n","dtype: int64"]},"execution_count":35,"metadata":{},"output_type":"execute_result"}],"source":["#Cheking missing values\n","survey_data.isna().sum()"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143049343,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"5qwWwzdNqslS","outputId":"7b932091-7bb0-478b-ef31-89acfbc214ba"},"outputs":[{"data":{"text/plain":["array(['For some time', 'Significant time', 'Not sad', 'Long time'],\n","      dtype=object)"]},"execution_count":36,"metadata":{},"output_type":"execute_result"}],"source":["#Change the data in some columns! \n","public_data['Is your sadness momentarily or has it been constant for a long time? (last month)'].unique()"]},{"cell_type":"code","execution_count":37,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":37,"status":"ok","timestamp":1670143049344,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"ZiuYtH3zxoJd","outputId":"9899cc6e-dfe2-43e7-db0b-43acf8f3442c"},"outputs":[{"data":{"text/plain":["array(['Not sad(<3 days)', 'Significant time(between 10 and 20 days)',\n","       'Not sad(less than 3 days)',\n","       'For some time (between 3 and 10 days)', 'Long time(over 20 days)'],\n","      dtype=object)"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["survey_data['Is your sadness momentarily or has it been constant for a long time? (last month)'].unique()"]},{"cell_type":"code","execution_count":38,"metadata":{"executionInfo":{"elapsed":33,"status":"ok","timestamp":1670143049345,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"s054yMX5xyAa"},"outputs":[],"source":["def change_data(x):\n","    if x=='Not sad(<3 days)' or x=='Not sad(less than 3 days)': return 'Not sad'\n","    elif x=='Significant time(between 10 and 20 days)': return 'Significant time'\n","    elif x=='For some time (between 3 and 10 days)': return 'For some time'\n","    else : return 'Long time'"]},{"cell_type":"code","execution_count":39,"metadata":{"executionInfo":{"elapsed":31,"status":"ok","timestamp":1670143049345,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"sUGs6Db0yfyF"},"outputs":[],"source":["survey_data['Is your sadness momentarily or has it been constant for a long time? (last month)'] =survey_data['Is your sadness momentarily or has it been constant for a long time? (last month)'].apply(change_data)"]},{"cell_type":"code","execution_count":40,"metadata":{"executionInfo":{"elapsed":32,"status":"ok","timestamp":1670143049346,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"GX9jtY8vyf1g"},"outputs":[],"source":["def change_data2(x):\n","  if x == 'i try not to show' : return 'Little bit'\n","  else : return x"]},{"cell_type":"code","execution_count":41,"metadata":{"executionInfo":{"elapsed":31,"status":"ok","timestamp":1670143049346,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"MMVw8IPyzPiU"},"outputs":[],"source":["survey_data[\"Describe how supported you feel by others around you ( your friends, family, or otherwise.)\"] = survey_data[\"Describe how supported you feel by others around you ( your friends, family, or otherwise.)\"].apply(change_data2)"]},{"cell_type":"code","execution_count":42,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":31,"status":"ok","timestamp":1670143049348,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"HOIFuCjpzmpg","outputId":"e69ad6e7-1134-4c5b-cba5-9d7147da6918"},"outputs":[{"data":{"text/plain":["array(['2-5 hours', 'More than 10 hours', '5-10 hours', '1-2 hours'],\n","      dtype=object)"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["public_data['How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?'].unique() "]},{"cell_type":"code","execution_count":43,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27,"status":"ok","timestamp":1670143049348,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"IS4nYVYkzmtB","outputId":"06b1c28f-5231-408d-bb00-4317932c4b1f"},"outputs":[{"data":{"text/plain":["array(['2-5h', 'more than 10', '1-2h', 'Over 10h', '5-10h'], dtype=object)"]},"execution_count":43,"metadata":{},"output_type":"execute_result"}],"source":["survey_data[\"How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?\"].unique()"]},{"cell_type":"code","execution_count":44,"metadata":{"executionInfo":{"elapsed":25,"status":"ok","timestamp":1670143049349,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"WdWJlTW3z7Yn"},"outputs":[],"source":["def change_data3(x):\n","  if x=='2-5h' :return '2-5 hours'\n","  elif x=='5-10h' : return '5-10 hours'\n","  elif x=='1-2h' : return '1-2 hours'\n","  else : return 'More than 10 hours'"]},{"cell_type":"code","execution_count":45,"metadata":{"executionInfo":{"elapsed":25,"status":"ok","timestamp":1670143049349,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"qTrInIK4z7cP"},"outputs":[],"source":["survey_data[\"How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?\"] = survey_data[\"How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?\"].apply(change_data3)"]},{"cell_type":"code","execution_count":46,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26,"status":"ok","timestamp":1670143049351,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Gvj0s6g11GLd","outputId":"6ca03b5f-81ba-46d3-8f99-f727523450c4"},"outputs":[{"data":{"text/plain":["array(['Never', 'Sometimes', 'Often', 'Very Often', 'Rarely'],\n","      dtype=object)"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["survey_data[\"How often do you get offended or angry or start crying ?\"].unique()"]},{"cell_type":"code","execution_count":47,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1670143049351,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"NpUGOHg71GOV","outputId":"c54459fd-6d9a-4cee-fd20-d08888c12b77"},"outputs":[{"data":{"text/plain":["array(['Sometimes', 'Often', 'Very often', 'Never'], dtype=object)"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["public_data[\"How often do you get offended or angry or start crying ?\"].unique()"]},{"cell_type":"code","execution_count":48,"metadata":{"executionInfo":{"elapsed":21,"status":"ok","timestamp":1670143049352,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"86NdT0Ls1GRv"},"outputs":[],"source":["def change_data4(x): \n","  if x=='Rarely' : return 'Sometimes'\n","  elif x == 'Very Often' : return 'Very often'\n","  else : return x"]},{"cell_type":"code","execution_count":49,"metadata":{"executionInfo":{"elapsed":20,"status":"ok","timestamp":1670143049352,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Af8MgDEV15d4"},"outputs":[],"source":["survey_data[\"How often do you get offended or angry or start crying ?\"] = survey_data[\"How often do you get offended or angry or start crying ?\"].apply(change_data4)"]},{"cell_type":"markdown","metadata":{"id":"fnDHQJzQBafs"},"source":["## 3- Merging the two dataframes"]},{"cell_type":"code","execution_count":50,"metadata":{"executionInfo":{"elapsed":20,"status":"ok","timestamp":1670143049353,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"6EykUULdBb8D"},"outputs":[],"source":["data = pd.concat([survey_data, public_data], ignore_index=True)"]},{"cell_type":"code","execution_count":51,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":768},"executionInfo":{"elapsed":386,"status":"ok","timestamp":1670143049720,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"SqKmThxcrNli","outputId":"8c3dfae1-0060-4ceb-8007-623080c7f328"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-54e1b09c-c6a9-4032-8650-0ca42b42d509\">\n","    <div class=\"colab-df-container\">\n","      <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>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      <th>Employment Status</th>\n","      <th>City</th>\n","      <th>How are you feeling today?</th>\n","      <th>Have you been eating and sleeping well?</th>\n","      <th>(If sad)have you been in the same mental state for the past few days?</th>\n","      <th>Is your sadness momentarily or has it been constant for a long time? (last month)</th>\n","      <th>At what time of the day are you extremely low?</th>\n","      <th>Has there been a sudden and huge change in your life?</th>\n","      <th>...</th>\n","      <th>If you have a mental health condition, do you feel that it interferes with your work?</th>\n","      <th>Have you taken any therapy or medication in the near past for mental health?</th>\n","      <th>Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?</th>\n","      <th>Do you feel bad about yourself or that you are a failure or have let yourself or your family down?</th>\n","      <th>How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?</th>\n","      <th>How often do you get offended or angry or start crying ?</th>\n","      <th>How often do you make use of substance abuse(e.g. smoking, alcohol)?</th>\n","      <th>How likely do you feel yourself vulnerable or lonely?</th>\n","      <th>How comfortable are you in talking about your mental health?</th>\n","      <th>Prediction_status</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>204</th>\n","      <td>Male</td>\n","      <td>Yes</td>\n","      <td>Unemployed</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Good</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Long time</td>\n","      <td>Evening</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>2-5 hours</td>\n","      <td>Sometimes</td>\n","      <td>Often</td>\n","      <td>4.0</td>\n","      <td>4.0</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>205</th>\n","      <td>Male</td>\n","      <td>Yes</td>\n","      <td>Employed</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Good</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Significant time</td>\n","      <td>Evening</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>2-5 hours</td>\n","      <td>Often</td>\n","      <td>Never</td>\n","      <td>1.0</td>\n","      <td>5.0</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>206</th>\n","      <td>Prefer not to say</td>\n","      <td>No</td>\n","      <td>Self-Employed</td>\n","      <td>Tier 3 (Other cities/towns)</td>\n","      <td>Depressed</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Not sad</td>\n","      <td>Morning</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>More than 10 hours</td>\n","      <td>Very often</td>\n","      <td>Very Often</td>\n","      <td>5.0</td>\n","      <td>5.0</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>207</th>\n","      <td>Male</td>\n","      <td>No</td>\n","      <td>Student</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Fine</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>Not sad</td>\n","      <td>Evening</td>\n","      <td>Not sure</td>\n","      <td>...</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>2-5 hours</td>\n","      <td>Never</td>\n","      <td>Never</td>\n","      <td>5.0</td>\n","      <td>5.0</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>208</th>\n","      <td>Female</td>\n","      <td>Yes</td>\n","      <td>Employed</td>\n","      <td>Tier 2 (Capital cities Eg. Lucknow )</td>\n","      <td>Fine</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>For some time</td>\n","      <td>Morning</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>2-5 hours</td>\n","      <td>Sometimes</td>\n","      <td>Never</td>\n","      <td>3.0</td>\n","      <td>3.0</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 25 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-54e1b09c-c6a9-4032-8650-0ca42b42d509')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-54e1b09c-c6a9-4032-8650-0ca42b42d509 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Employment Status  \\\n","204               Male                            Yes        Unemployed   \n","205               Male                            Yes          Employed   \n","206  Prefer not to say                             No     Self-Employed   \n","207               Male                             No           Student   \n","208             Female                            Yes          Employed   \n","\n","                                     City How are you feeling today?  \\\n","204  Tier 2 (Capital cities Eg. Lucknow )                       Good   \n","205  Tier 2 (Capital cities Eg. Lucknow )                       Good   \n","206           Tier 3 (Other cities/towns)                  Depressed   \n","207  Tier 2 (Capital cities Eg. Lucknow )                       Fine   \n","208  Tier 2 (Capital cities Eg. Lucknow )                       Fine   \n","\n","    Have you been eating and sleeping well?  \\\n","204                                     Yes   \n","205                                     Yes   \n","206                                      No   \n","207                                   Maybe   \n","208                                     Yes   \n","\n","    (If sad)have you been in the same mental state for the past few days?  \\\n","204                                                 No                      \n","205                                                 No                      \n","206                                                Yes                      \n","207                                                 No                      \n","208                                                Yes                      \n","\n","    Is your sadness momentarily or has it been constant for a long time? (last month)  \\\n","204                                          Long time                                  \n","205                                   Significant time                                  \n","206                                            Not sad                                  \n","207                                            Not sad                                  \n","208                                      For some time                                  \n","\n","    At what time of the day are you extremely low?  \\\n","204                                        Evening   \n","205                                        Evening   \n","206                                        Morning   \n","207                                        Evening   \n","208                                        Morning   \n","\n","    Has there been a sudden and huge change in your life?  ...  \\\n","204                                                 No     ...   \n","205                                                 No     ...   \n","206                                                Yes     ...   \n","207                                           Not sure     ...   \n","208                                                Yes     ...   \n","\n","    If you have a mental health condition, do you feel that it interferes with your work?  \\\n","204                                                Yes                                      \n","205                                              Maybe                                      \n","206                                                 No                                      \n","207                                              Maybe                                      \n","208                                                Yes                                      \n","\n","    Have you taken any therapy or medication in the near past for mental health?  \\\n","204                                                 No                             \n","205                                                 No                             \n","206                                                Yes                             \n","207                                              Maybe                             \n","208                                                 No                             \n","\n","     Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?  \\\n","204                                                Yes                                                            \n","205                                                 No                                                            \n","206                                                Yes                                                            \n","207                                              Maybe                                                            \n","208                                                 No                                                            \n","\n","    Do you feel bad about yourself or that you are a failure or have let yourself or your family down?  \\\n","204                                                Yes                                                   \n","205                                                 No                                                   \n","206                                                 No                                                   \n","207                                              Maybe                                                   \n","208                                              Maybe                                                   \n","\n","    How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?  \\\n","204                                          2-5 hours                                                  \n","205                                          2-5 hours                                                  \n","206                                 More than 10 hours                                                  \n","207                                          2-5 hours                                                  \n","208                                          2-5 hours                                                  \n","\n","    How often do you get offended or angry or start crying ?  \\\n","204                                          Sometimes         \n","205                                              Often         \n","206                                         Very often         \n","207                                              Never         \n","208                                          Sometimes         \n","\n","    How often do you make use of substance abuse(e.g. smoking, alcohol)?  \\\n","204                                              Often                     \n","205                                              Never                     \n","206                                         Very Often                     \n","207                                              Never                     \n","208                                              Never                     \n","\n","    How likely do you feel yourself vulnerable or lonely?  \\\n","204                                                4.0      \n","205                                                1.0      \n","206                                                5.0      \n","207                                                5.0      \n","208                                                3.0      \n","\n","    How comfortable are you in talking about your mental health?  \\\n","204                                                4.0             \n","205                                                5.0             \n","206                                                5.0             \n","207                                                5.0             \n","208                                                3.0             \n","\n","    Prediction_status  \n","204               Yes  \n","205                No  \n","206               Yes  \n","207               Yes  \n","208                No  \n","\n","[5 rows x 25 columns]"]},"execution_count":51,"metadata":{},"output_type":"execute_result"}],"source":["data.tail()"]},{"cell_type":"code","execution_count":52,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":40,"status":"ok","timestamp":1670143049721,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"_uPvj3u0R3In","outputId":"aecd73ed-5ac2-4ab2-9f77-29b9c4faa2cd"},"outputs":[{"name":"stdout","output_type":"stream","text":["(209, 25)\n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 209 entries, 0 to 208\n","Data columns (total 25 columns):\n"," #   Column                                                                                                      Non-Null Count  Dtype  \n","---  ------                                                                                                      --------------  -----  \n"," 0   Gender                                                                                                      209 non-null    object \n"," 1   Are you above 30 years of age?                                                                              209 non-null    object \n"," 2   Employment Status                                                                                           209 non-null    object \n"," 3   City                                                                                                        209 non-null    object \n"," 4   How are you feeling today?                                                                                  209 non-null    object \n"," 5   Have you been eating and sleeping well?                                                                     209 non-null    object \n"," 6   (If sad)have you been in the same mental state for the past few days?                                       209 non-null    object \n"," 7   Is your sadness momentarily or has it been constant for a long time? (last month)                           209 non-null    object \n"," 8   At what time of the day are you extremely low?                                                              209 non-null    object \n"," 9   Has there been a sudden and huge change in your life?                                                       209 non-null    object \n"," 10  Your stress is related to which of the following areas?                                                     209 non-null    object \n"," 11  How frequently have you had little pleasure or interest in the activities you usually enjoy?                209 non-null    object \n"," 12  How confident you have been feeling in your capabilities recently.                                          209 non-null    int64  \n"," 13  Describe how supported you feel by others around you ( your friends, family, or otherwise.)                 209 non-null    object \n"," 14  How frequently have you been doing things that mean something to you or your life?                          209 non-null    object \n"," 15  If you have a mental health condition, do you feel that it interferes with your work?                       209 non-null    object \n"," 16  Have you taken any therapy or medication in the near past for mental health?                                209 non-null    object \n"," 17  Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?  209 non-null    object \n"," 18  Do you feel bad about yourself or that you are a failure or have let yourself or your family down?          209 non-null    object \n"," 19  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?           209 non-null    object \n"," 20  How often do you get offended or angry or start crying ?                                                    209 non-null    object \n"," 21  How often do you make use of substance abuse(e.g. smoking, alcohol)?                                        209 non-null    object \n"," 22  How likely do you feel yourself vulnerable or lonely?                                                       209 non-null    float64\n"," 23  How comfortable are you in talking about your mental health?                                                209 non-null    float64\n"," 24  Prediction_status                                                                                           209 non-null    object \n","dtypes: float64(2), int64(1), object(22)\n","memory usage: 40.9+ KB\n","None\n"]}],"source":["print(data.shape)\n","print(data.info())"]},{"cell_type":"code","execution_count":53,"metadata":{"executionInfo":{"elapsed":38,"status":"ok","timestamp":1670143049721,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"1GUJPFV8rkFM"},"outputs":[],"source":["#save data to .csv file\n","from pathlib import Path  \n","filepath = Path('/content/drive/MyDrive/My_work/TuniHack_work/Final_data.csv') \n","data.to_csv(filepath)"]},{"cell_type":"markdown","metadata":{"id":"JQHV0Vv_Bctn"},"source":["## 4- Encoding"]},{"cell_type":"code","execution_count":54,"metadata":{"executionInfo":{"elapsed":37,"status":"ok","timestamp":1670143049722,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"kzYCIfqGBg1M"},"outputs":[],"source":["#data = data.copy()"]},{"cell_type":"code","execution_count":55,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":34,"status":"ok","timestamp":1670143049722,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"PS3UEqYsB7Wi","outputId":"19c0c819-df22-446f-f545-21b1f7ad5632"},"outputs":[{"data":{"text/plain":["{'Gender': 3,\n"," 'Are you above 30 years of age?': 2,\n"," 'Employment Status': 4,\n"," 'City': 6,\n"," 'How are you feeling today?': 4,\n"," 'Have you been eating and sleeping well?': 3,\n"," '(If sad)have you been in the same mental state for the past few days?': 6,\n"," 'Is your sadness momentarily or has it been constant for a long time? (last month)': 4,\n"," 'At what time of the day are you extremely low?': 3,\n"," 'Has there been a sudden and huge change in your life?': 6,\n"," 'Your stress is related to which of the following areas?': 25,\n"," 'How frequently have you had little pleasure or interest in the activities you usually enjoy?': 4,\n"," 'Describe how supported you feel by others around you ( your friends, family, or otherwise.)': 4,\n"," 'How frequently have you been doing things that mean something to you or your life?': 4,\n"," 'If you have a mental health condition, do you feel that it interferes with your work?': 6,\n"," 'Have you taken any therapy or medication in the near past for mental health?': 6,\n"," 'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?': 6,\n"," 'Do you feel bad about yourself or that you are a failure or have let yourself or your family down?': 6,\n"," 'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?': 4,\n"," 'How often do you get offended or angry or start crying ?': 4,\n"," 'How often do you make use of substance abuse(e.g. smoking, alcohol)?': 4,\n"," 'Prediction_status': 2}"]},"execution_count":55,"metadata":{},"output_type":"execute_result"}],"source":["{column:len(data[column].unique()) for column in data.select_dtypes('object').columns}"]},{"cell_type":"code","execution_count":56,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1670143049722,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"yqV-9GRdB8N5","outputId":"c2992b76-04a4-469e-c084-490c16b36f57"},"outputs":[{"data":{"text/plain":["{'Gender': ['Female', 'Male', 'Prefer not to say'],\n"," 'Are you above 30 years of age?': ['Yes', 'No'],\n"," 'Employment Status': ['Student', 'Unemployed', 'Employed', 'Self-Employed'],\n"," 'City': ['Tier 1 (large city)',\n","  'Tier 2 (meduim city)',\n","  'Tier 3 (little cities/towns)',\n","  'Tier 3 (Other cities/towns)',\n","  'Tier 2 (Capital cities Eg. Lucknow )',\n","  'Tier 1 (Delhi, Mumbai, Bangalore, Chennai, Kolkata)'],\n"," 'How are you feeling today?': ['Good', 'Sad', 'Fine', 'Depressed'],\n"," 'Have you been eating and sleeping well?': ['No', 'Yes', 'Maybe'],\n"," '(If sad)have you been in the same mental state for the past few days?': ['no',\n","  'maybe',\n","  'yes',\n","  'No',\n","  'Yes',\n","  'Maybe'],\n"," 'Is your sadness momentarily or has it been constant for a long time? (last month)': ['Not sad',\n","  'Significant time',\n","  'For some time',\n","  'Long time'],\n"," 'At what time of the day are you extremely low?': ['Afternoon',\n","  'Evening',\n","  'Morning'],\n"," 'Has there been a sudden and huge change in your life?': ['no',\n","  'not sure',\n","  'yes',\n","  'No',\n","  'Yes',\n","  'Not sure'],\n"," 'Your stress is related to which of the following areas?': ['Financial',\n","  'None',\n","  'Work',\n","  'Personal',\n","  'Home',\n","  'Personal, Work',\n","  'Work, Financial',\n","  'Personal, Financial',\n","  'Personal, Work, Financial',\n","  'Personal, Work, Financial, Home',\n","  'Financial, Home',\n","  'Personal, Work, Home',\n","  'Home, Work, Personal',\n","  'Work, Personal',\n","  'Home, Work, Financial, Personal',\n","  'Financial, Personal',\n","  'Home, Work',\n","  'Home, Financial, Personal',\n","  'Home, Personal',\n","  'Work, Financial, Personal',\n","  'Home, Work, Financial',\n","  'Home, Financial',\n","  'Personal, None',\n","  'Home, Work, Financial, Personal, None',\n","  'Home, Work, Personal, None'],\n"," 'How frequently have you had little pleasure or interest in the activities you usually enjoy?': ['Often',\n","  'Very Often',\n","  'Sometimes',\n","  'Never'],\n"," 'Describe how supported you feel by others around you ( your friends, family, or otherwise.)': ['Satisfactory',\n","  'Highly supportive',\n","  'Little bit',\n","  'Not at all'],\n"," 'How frequently have you been doing things that mean something to you or your life?': ['Very Often',\n","  'Often',\n","  'Sometimes',\n","  'Never'],\n"," 'If you have a mental health condition, do you feel that it interferes with your work?': ['no',\n","  'yes',\n","  'maybe',\n","  'Yes',\n","  'No',\n","  'Maybe'],\n"," 'Have you taken any therapy or medication in the near past for mental health?': ['no',\n","  'maybe',\n","  'yes',\n","  'No',\n","  'Maybe',\n","  'Yes'],\n"," 'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?': ['yes',\n","  'no',\n","  'maybe',\n","  'No',\n","  'Yes',\n","  'Maybe'],\n"," 'Do you feel bad about yourself or that you are a failure or have let yourself or your family down?': ['yes',\n","  'no',\n","  'maybe',\n","  'No',\n","  'Yes',\n","  'Maybe'],\n"," 'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?': ['2-5 hours',\n","  'More than 10 hours',\n","  '1-2 hours',\n","  '5-10 hours'],\n"," 'How often do you get offended or angry or start crying ?': ['Never',\n","  'Sometimes',\n","  'Often',\n","  'Very often'],\n"," 'How often do you make use of substance abuse(e.g. smoking, alcohol)?': ['Never',\n","  'Sometimes',\n","  'Very Often',\n","  'Often'],\n"," 'Prediction_status': ['No', 'Yes']}"]},"execution_count":56,"metadata":{},"output_type":"execute_result"}],"source":["{column:list(data[column].unique()) for column in data.select_dtypes('object').columns}"]},{"cell_type":"code","execution_count":57,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":18,"status":"ok","timestamp":1670143049722,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"k7LIy0S4B-8V","outputId":"1333a0f6-f079-4697-e61f-3c2a448f9a3e"},"outputs":[{"data":{"text/plain":["{'How likely do you feel yourself vulnerable or lonely?': 5,\n"," 'How comfortable are you in talking about your mental health?': 5}"]},"execution_count":57,"metadata":{},"output_type":"execute_result"}],"source":["{column:len(data[column].unique()) for column in data.select_dtypes('float64').columns}"]},{"cell_type":"code","execution_count":58,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1670143049723,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"06WL2O4WCCHm","outputId":"27892a20-97ea-45f8-dfdf-f59b99977129"},"outputs":[{"data":{"text/plain":["{'How confident you have been feeling in your capabilities recently.': 5}"]},"execution_count":58,"metadata":{},"output_type":"execute_result"}],"source":["{column:len(data[column].unique()) for column in data.select_dtypes('int64').columns}\n"]},{"cell_type":"code","execution_count":59,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":350,"status":"ok","timestamp":1670143050064,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"ABUrBoZ1CFfT","outputId":"b6c39459-7daf-4382-f9a3-874cb7a0a848"},"outputs":[{"data":{"text/plain":["{}"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["{column:len(data[column].unique()) for column in data.select_dtypes('bool').columns}"]},{"cell_type":"code","execution_count":60,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":353,"status":"ok","timestamp":1670143050069,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"jPBSoPfRJ-D6","outputId":"381fd3c3-0edc-4f38-d53f-5437cf30e3d6"},"outputs":[{"data":{"text/plain":["array(['Tier 1 (large city)', 'Tier 2 (meduim city)',\n","       'Tier 3 (little cities/towns)', 'Tier 3 (Other cities/towns)',\n","       'Tier 2 (Capital cities Eg. Lucknow )',\n","       'Tier 1 (Delhi, Mumbai, Bangalore, Chennai, Kolkata)'],\n","      dtype=object)"]},"execution_count":60,"metadata":{},"output_type":"execute_result"}],"source":["data[\"City\"].unique()"]},{"cell_type":"code","execution_count":61,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050070,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"42kB6b2yKaSy"},"outputs":[],"source":["def encode_status(x):\n","    if x=='Student':\n","        return 0\n","    elif x=='Unemployed':\n","        return 1\n","    elif x=='Employed':\n","        return 2\n","    else : return 3"]},{"cell_type":"code","execution_count":62,"metadata":{"executionInfo":{"elapsed":48,"status":"ok","timestamp":1670143050071,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"2a6a4yRaCHJZ"},"outputs":[],"source":["def encode_gender(x):\n","    if x=='Female':\n","        return 0\n","    elif x=='Male':\n","        return 1\n","    else:\n","        return 2"]},{"cell_type":"code","execution_count":63,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050072,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"Bsw9pztaJ0rD"},"outputs":[],"source":["def encode_city(x):\n","  if x=='Tier 3 (Other cities/towns)': return 3\n","  elif x=='Tier 2 (Capital cities Eg. Lucknow )': return 2\n","  else : return 3"]},{"cell_type":"code","execution_count":64,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050073,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"fDeXHpTlKswj"},"outputs":[],"source":["data['Employment Status'] = data['Employment Status'].apply(encode_status)"]},{"cell_type":"code","execution_count":65,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050074,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"VqSrVvqRCJl6"},"outputs":[],"source":["data['Gender'] = data['Gender'].apply(encode_gender)"]},{"cell_type":"code","execution_count":66,"metadata":{"executionInfo":{"elapsed":50,"status":"ok","timestamp":1670143050076,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"pIF6YndKKOGZ"},"outputs":[],"source":["data['City'] = data['City'].apply(encode_city)"]},{"cell_type":"code","execution_count":67,"metadata":{"executionInfo":{"elapsed":51,"status":"ok","timestamp":1670143050077,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"BBCEoPxVCLRf"},"outputs":[],"source":["target='Prediction_status'\n","binary_features=[\n","    'Are you above 30 years of age?',\n","     'Have you been eating and sleeping well?'\n","]\n","ordinal_features=[\n","    'How are you feeling today?',\n","    'Is your sadness momentarily or has it been constant for a long time? (last month)',\n","    'At what time of the day are you extremely low?',\n","    'How frequently have you had little pleasure or interest in the activities you usually enjoy?',\n","    'Describe how supported you feel by others around you ( your friends, family, or otherwise.)',\n","    'How frequently have you been doing things that mean something to you or your life?',\n","    'How often do you make use of substance abuse(e.g. smoking, alcohol)?',\n","    'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?',\n","    'How often do you get offended or angry or start crying ?'\n","]\n","nominal_features=[\n","    '(If sad)have you been in the same mental state for the past few days?',\n","    'Has there been a sudden and huge change in your life?',\n","    'Your stress is related to which of the following areas?',\n","    'If you have a mental health condition, do you feel that it interferes with your work?',\n","    'Have you taken any therapy or medication in the near past for mental health?',\n","    'Having trouble concentrating on things, such as reading the newspaper or watching television, or studying?',\n","    'Do you feel bad about yourself or that you are a failure or have let yourself or your family down?'\n","]"]},{"cell_type":"code","execution_count":68,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050078,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"je7QxMXpC-8P"},"outputs":[],"source":["def binary_encode(df,columns,positive_values):\n","    df=df.copy()\n","    for column,positive_value in zip(columns,positive_values):\n","        df[column]=df[column].apply(lambda x: 1 if x==positive_value else 0)\n","    return df\n","def ordinal_encode(df,columns,orderings):\n","    df=df.copy()\n","    for column,ordering in zip(columns,orderings):\n","            df[column]=df[column].apply(lambda x:ordering.index(x))\n","    return df\n","def nominal_encode(df,columns,prefixes):\n","    df=df.copy()\n","    for column,prefix in zip(columns,prefixes):\n","        dummies=pd.get_dummies(df[column],prefix)\n","        df=pd.concat([df, dummies],axis=1)\n","        df=df.drop(column,axis=1)\n","    return df"]},{"cell_type":"code","execution_count":69,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050079,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"ryO-BOAnDCNg"},"outputs":[],"source":["binary_positive_values = ['Yes' for feature in binary_features]\n","ordinal_orderings=[\n","    ['Good','Fine','Sad','Depressed'],\n","    ['Not sad','For some time','Significant time','Long time'],\n","    ['Morning','Afternoon','Evening'],\n","    ['Never','Sometimes','Often','Very Often'],\n","    ['Highly supportive','Satisfactory','Little bit','Not at all'],\n","    ['Very Often','Often','Sometimes','Never'],\n","    ['Never','Sometimes','Often','Very Often'],\n","    ['1-2 hours','2-5 hours','5-10 hours','More than 10 hours'],\n","    ['Never','Sometimes','Often','Very often']\n","]"]},{"cell_type":"code","execution_count":70,"metadata":{"executionInfo":{"elapsed":49,"status":"ok","timestamp":1670143050080,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"MM2zUPY1DIwI"},"outputs":[],"source":["nominal_prefixes=[\n","    'smen',\n","    'change',\n","    'stress',\n","    'inter',\n","    'ther',\n","    'conc',\n","    'fbad'\n","]"]},{"cell_type":"code","execution_count":71,"metadata":{"executionInfo":{"elapsed":50,"status":"ok","timestamp":1670143050081,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"M44apmZ4DK9G"},"outputs":[],"source":["data=binary_encode(\n","    data,\n","    columns=binary_features,\n","    positive_values=binary_positive_values)"]},{"cell_type":"code","execution_count":72,"metadata":{"executionInfo":{"elapsed":51,"status":"ok","timestamp":1670143050081,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"UNGAJG8uEzyC"},"outputs":[],"source":["data=nominal_encode(\n","data,\n","columns=nominal_features,\n","prefixes=nominal_prefixes\n",")"]},{"cell_type":"code","execution_count":73,"metadata":{"executionInfo":{"elapsed":50,"status":"ok","timestamp":1670143050082,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"RxNqT96FEwjA"},"outputs":[],"source":["data=ordinal_encode(\n","data,\n","columns=ordinal_features,\n","orderings=ordinal_orderings\n",")"]},{"cell_type":"code","execution_count":74,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":51,"status":"ok","timestamp":1670143050083,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"hXlHxUpZDnAG","outputId":"ba2a62eb-f5bc-4149-e050-fca6d701b645"},"outputs":[{"data":{"text/plain":["Index(['Gender', 'Are you above 30 years of age?', 'Employment Status', 'City',\n","       'How are you feeling today?', 'Have you been eating and sleeping well?',\n","       'Is your sadness momentarily or has it been constant for a long time? (last month)',\n","       'At what time of the day are you extremely low?',\n","       'How frequently have you had little pleasure or interest in the activities you usually enjoy?',\n","       'How confident you have been feeling in your capabilities recently.',\n","       'Describe how supported you feel by others around you ( your friends, family, or otherwise.)',\n","       'How frequently have you been doing things that mean something to you or your life?',\n","       'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?',\n","       'How often do you get offended or angry or start crying ?',\n","       'How often do you make use of substance abuse(e.g. smoking, alcohol)?',\n","       'How likely do you feel yourself vulnerable or lonely?',\n","       'How comfortable are you in talking about your mental health?',\n","       'Prediction_status', 'smen_Maybe', 'smen_No', 'smen_Yes', 'smen_maybe',\n","       'smen_no', 'smen_yes', 'change_No', 'change_Not sure', 'change_Yes',\n","       'change_no', 'change_not sure', 'change_yes', 'stress_Financial',\n","       'stress_Financial, Home', 'stress_Financial, Personal', 'stress_Home',\n","       'stress_Home, Financial', 'stress_Home, Financial, Personal',\n","       'stress_Home, Personal', 'stress_Home, Work',\n","       'stress_Home, Work, Financial',\n","       'stress_Home, Work, Financial, Personal',\n","       'stress_Home, Work, Financial, Personal, None',\n","       'stress_Home, Work, Personal', 'stress_Home, Work, Personal, None',\n","       'stress_None', 'stress_Personal', 'stress_Personal, Financial',\n","       'stress_Personal, None', 'stress_Personal, Work',\n","       'stress_Personal, Work, Financial',\n","       'stress_Personal, Work, Financial, Home', 'stress_Personal, Work, Home',\n","       'stress_Work', 'stress_Work, Financial',\n","       'stress_Work, Financial, Personal', 'stress_Work, Personal',\n","       'inter_Maybe', 'inter_No', 'inter_Yes', 'inter_maybe', 'inter_no',\n","       'inter_yes', 'ther_Maybe', 'ther_No', 'ther_Yes', 'ther_maybe',\n","       'ther_no', 'ther_yes', 'conc_Maybe', 'conc_No', 'conc_Yes',\n","       'conc_maybe', 'conc_no', 'conc_yes', 'fbad_Maybe', 'fbad_No',\n","       'fbad_Yes', 'fbad_maybe', 'fbad_no', 'fbad_yes'],\n","      dtype='object')"]},"execution_count":74,"metadata":{},"output_type":"execute_result"}],"source":["data.columns"]},{"cell_type":"code","execution_count":75,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":490},"executionInfo":{"elapsed":47,"status":"ok","timestamp":1670143050084,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"nPf-8OuyEk02","outputId":"75098881-34ef-4726-a7af-7f0a673f222c"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-9923e9e7-0941-4b36-9f49-54a38bff6938\">\n","    <div class=\"colab-df-container\">\n","      <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>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      <th>Employment Status</th>\n","      <th>City</th>\n","      <th>How are you feeling today?</th>\n","      <th>Have you been eating and sleeping well?</th>\n","      <th>Is your sadness momentarily or has it been constant for a long time? (last month)</th>\n","      <th>At what time of the day are you extremely low?</th>\n","      <th>How frequently have you had little pleasure or interest in the activities you usually enjoy?</th>\n","      <th>How confident you have been feeling in your capabilities recently.</th>\n","      <th>...</th>\n","      <th>conc_Yes</th>\n","      <th>conc_maybe</th>\n","      <th>conc_no</th>\n","      <th>conc_yes</th>\n","      <th>fbad_Maybe</th>\n","      <th>fbad_No</th>\n","      <th>fbad_Yes</th>\n","      <th>fbad_maybe</th>\n","      <th>fbad_no</th>\n","      <th>fbad_yes</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 79 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9923e9e7-0941-4b36-9f49-54a38bff6938')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["   Gender  Are you above 30 years of age?  Employment Status  City  \\\n","0       0                               1                  0     3   \n","1       1                               0                  0     3   \n","2       1                               0                  0     3   \n","3       1                               0                  0     3   \n","4       0                               0                  0     3   \n","\n","   How are you feeling today?  Have you been eating and sleeping well?  \\\n","0                           0                                        0   \n","1                           0                                        1   \n","2                           0                                        1   \n","3                           0                                        0   \n","4                           2                                        1   \n","\n","   Is your sadness momentarily or has it been constant for a long time? (last month)  \\\n","0                                                  0                                   \n","1                                                  0                                   \n","2                                                  2                                   \n","3                                                  0                                   \n","4                                                  0                                   \n","\n","   At what time of the day are you extremely low?  \\\n","0                                               1   \n","1                                               2   \n","2                                               1   \n","3                                               1   \n","4                                               1   \n","\n","   How frequently have you had little pleasure or interest in the activities you usually enjoy?  \\\n","0                                                  2                                              \n","1                                                  3                                              \n","2                                                  1                                              \n","3                                                  1                                              \n","4                                                  2                                              \n","\n","   How confident you have been feeling in your capabilities recently.  ...  \\\n","0                                                  3                   ...   \n","1                                                  3                   ...   \n","2                                                  3                   ...   \n","3                                                  1                   ...   \n","4                                                  3                   ...   \n","\n","   conc_Yes  conc_maybe  conc_no  conc_yes  fbad_Maybe  fbad_No  fbad_Yes  \\\n","0         0           0        0         1           0        0         0   \n","1         0           0        1         0           0        0         0   \n","2         0           0        0         1           0        0         0   \n","3         0           0        1         0           0        0         0   \n","4         0           0        1         0           0        0         0   \n","\n","  fbad_maybe  fbad_no  fbad_yes  \n","0          0        0         1  \n","1          0        1         0  \n","2          0        1         0  \n","3          1        0         0  \n","4          0        1         0  \n","\n","[5 rows x 79 columns]"]},"execution_count":75,"metadata":{},"output_type":"execute_result"}],"source":["data.head()"]},{"cell_type":"code","execution_count":76,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":46,"status":"ok","timestamp":1670143050085,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"lcCumEWtGM6j","outputId":"b0232260-e2d1-4c15-a784-16e8dc0b34ff"},"outputs":[{"data":{"text/plain":["0      0\n","1      1\n","2      1\n","3      0\n","4      0\n","      ..\n","204    1\n","205    0\n","206    1\n","207    1\n","208    0\n","Name: Prediction_status, Length: 209, dtype: int64"]},"execution_count":76,"metadata":{},"output_type":"execute_result"}],"source":["#Encode labels\n","data=binary_encode(data,columns=['Prediction_status'],positive_values=['Yes'])\n","data['Prediction_status']"]},{"cell_type":"code","execution_count":77,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":42,"status":"ok","timestamp":1670143050086,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"c30Pdm-cLR8i","outputId":"758c846d-55b4-4a72-9d13-f4dd98cefa43"},"outputs":[{"name":"stdout","output_type":"stream","text":["Remaining non-numeric columns: 0\n","Remaining missing values: 0\n"]}],"source":["print(\"Remaining non-numeric columns:\", len(data.select_dtypes('object').columns))\n","print(\"Remaining missing values:\", data.isna().sum().sum())"]},{"cell_type":"code","execution_count":78,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":461},"executionInfo":{"elapsed":306,"status":"ok","timestamp":1670143050355,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"TU8B8qw3LcM3","outputId":"ce8b4a1e-f2c2-418d-9772-33adab4154bf"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-49390384-db1e-4d2e-b1fc-e64820a99b98\">\n","    <div class=\"colab-df-container\">\n","      <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>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      <th>Employment Status</th>\n","      <th>City</th>\n","      <th>How are you feeling today?</th>\n","      <th>Have you been eating and sleeping well?</th>\n","      <th>Is your sadness momentarily or has it been constant for a long time? (last month)</th>\n","      <th>At what time of the day are you extremely low?</th>\n","      <th>How frequently have you had little pleasure or interest in the activities you usually enjoy?</th>\n","      <th>How confident you have been feeling in your capabilities recently.</th>\n","      <th>Describe how supported you feel by others around you ( your friends, family, or otherwise.)</th>\n","      <th>How frequently have you been doing things that mean something to you or your life?</th>\n","      <th>How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?</th>\n","      <th>How often do you get offended or angry or start crying ?</th>\n","      <th>How often do you make use of substance abuse(e.g. smoking, alcohol)?</th>\n","      <th>How likely do you feel yourself vulnerable or lonely?</th>\n","      <th>How comfortable are you in talking about your mental health?</th>\n","      <th>Prediction_status</th>\n","      <th>smen_Maybe</th>\n","      <th>smen_No</th>\n","      <th>smen_Yes</th>\n","      <th>smen_maybe</th>\n","      <th>smen_no</th>\n","      <th>smen_yes</th>\n","      <th>change_No</th>\n","      <th>change_Not sure</th>\n","      <th>change_Yes</th>\n","      <th>change_no</th>\n","      <th>change_not sure</th>\n","      <th>change_yes</th>\n","      <th>stress_Financial</th>\n","      <th>stress_Financial, Home</th>\n","      <th>stress_Financial, Personal</th>\n","      <th>stress_Home</th>\n","      <th>stress_Home, Financial</th>\n","      <th>stress_Home, Financial, Personal</th>\n","      <th>stress_Home, Personal</th>\n","      <th>stress_Home, Work</th>\n","      <th>stress_Home, Work, Financial</th>\n","      <th>stress_Home, Work, Financial, Personal</th>\n","      <th>stress_Home, Work, Financial, Personal, None</th>\n","      <th>stress_Home, Work, Personal</th>\n","      <th>stress_Home, Work, Personal, None</th>\n","      <th>stress_None</th>\n","      <th>stress_Personal</th>\n","      <th>stress_Personal, Financial</th>\n","      <th>stress_Personal, None</th>\n","      <th>stress_Personal, Work</th>\n","      <th>stress_Personal, Work, Financial</th>\n","      <th>stress_Personal, Work, Financial, Home</th>\n","      <th>stress_Personal, Work, Home</th>\n","      <th>stress_Work</th>\n","      <th>stress_Work, Financial</th>\n","      <th>stress_Work, Financial, Personal</th>\n","      <th>stress_Work, Personal</th>\n","      <th>inter_Maybe</th>\n","      <th>inter_No</th>\n","      <th>inter_Yes</th>\n","      <th>inter_maybe</th>\n","      <th>inter_no</th>\n","      <th>inter_yes</th>\n","      <th>ther_Maybe</th>\n","      <th>ther_No</th>\n","      <th>ther_Yes</th>\n","      <th>ther_maybe</th>\n","      <th>ther_no</th>\n","      <th>ther_yes</th>\n","      <th>conc_Maybe</th>\n","      <th>conc_No</th>\n","      <th>conc_Yes</th>\n","      <th>conc_maybe</th>\n","      <th>conc_no</th>\n","      <th>conc_yes</th>\n","      <th>fbad_Maybe</th>\n","      <th>fbad_No</th>\n","      <th>fbad_Yes</th>\n","      <th>fbad_maybe</th>\n","      <th>fbad_no</th>\n","      <th>fbad_yes</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>204</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>4.0</td>\n","      <td>4.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      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Employment Status  City  \\\n","204       1                               1                  1     2   \n","205       1                               1                  2     2   \n","206       2                               0                  3     3   \n","207       1                               0                  0     2   \n","208       0                               1                  2     2   \n","\n","     How are you feeling today?  Have you been eating and sleeping well?  \\\n","204                           0                                        1   \n","205                           0                                        1   \n","206                           3                                        0   \n","207                           1                                        0   \n","208                           1                                        1   \n","\n","     Is your sadness momentarily or has it been constant for a long time? (last month)  \\\n","204                                                  3                                   \n","205                                                  2                                   \n","206                                                  0                                   \n","207                                                  0                                   \n","208                                                  1                                   \n","\n","     At what time of the day are you extremely low?  \\\n","204                                               2   \n","205                                               2   \n","206                                               0   \n","207                                               2   \n","208                                               0   \n","\n","     How frequently have you had little pleasure or interest in the activities you usually enjoy?  \\\n","204                                                  2                                              \n","205                                                  2                                              \n","206                                                  0                                              \n","207                                                  0                                              \n","208                                                  1                                              \n","\n","     How confident you have been feeling in your capabilities recently.  \\\n","204                                                  5                    \n","205                                                  5                    \n","206                                                  1                    \n","207                                                  5                    \n","208                                                  4                    \n","\n","     Describe how supported you feel by others around you ( your friends, family, or otherwise.)  \\\n","204                                                  1                                             \n","205                                                  0                                             \n","206                                                  3                                             \n","207                                                  3                                             \n","208                                                  0                                             \n","\n","     How frequently have you been doing things that mean something to you or your life?  \\\n","204                                                  1                                    \n","205                                                  1                                    \n","206                                                  0                                    \n","207                                                  3                                    \n","208                                                  1                                    \n","\n","     How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?  \\\n","204                                                  1                                                   \n","205                                                  1                                                   \n","206                                                  3                                                   \n","207                                                  1                                                   \n","208                                                  1                                                   \n","\n","     How often do you get offended or angry or start crying ?  \\\n","204                                                  1          \n","205                                                  2          \n","206                                                  3          \n","207                                                  0          \n","208                                                  1          \n","\n","     How often do you make use of substance abuse(e.g. smoking, alcohol)?  \\\n","204                                                  2                      \n","205                                                  0                      \n","206                                                  3                      \n","207                                                  0                      \n","208                                                  0                      \n","\n","     How likely do you feel yourself vulnerable or lonely?  \\\n","204                                                4.0       \n","205                                                1.0       \n","206                                                5.0       \n","207                                                5.0       \n","208                                                3.0       \n","\n","     How comfortable are you in talking about your mental health?  \\\n","204                                                4.0              \n","205                                                5.0              \n","206                                                5.0              \n","207                                                5.0              \n","208                                                3.0              \n","\n","     Prediction_status  smen_Maybe  smen_No  smen_Yes  smen_maybe  smen_no  \\\n","204                  1           0        1         0           0        0   \n","205                  0           0        1         0           0        0   \n","206                  1           0        0         1           0        0   \n","207                  1           0        1         0           0        0   \n","208                  0           0        0         1           0        0   \n","\n","     smen_yes  change_No  change_Not sure  change_Yes  change_no  \\\n","204         0          1                0           0          0   \n","205         0          1                0           0          0   \n","206         0          0                0           1          0   \n","207         0          0                1           0          0   \n","208         0          0                0           1          0   \n","\n","     change_not sure  change_yes  stress_Financial  stress_Financial, Home  \\\n","204                0           0                 0                       0   \n","205                0           0                 0                       0   \n","206                0           0                 0                       0   \n","207                0           0                 0                       0   \n","208                0           0                 0                       0   \n","\n","     stress_Financial, Personal  stress_Home  stress_Home, Financial  \\\n","204                           0            0                       0   \n","205                           0            0                       0   \n","206                           0            0                       0   \n","207                           0            1                       0   \n","208                           0            0                       0   \n","\n","     stress_Home, Financial, Personal  stress_Home, Personal  \\\n","204                                 0                      0   \n","205                                 0                      0   \n","206                                 0                      0   \n","207                                 0                      0   \n","208                                 0                      0   \n","\n","     stress_Home, Work  stress_Home, Work, Financial  \\\n","204                  0                             0   \n","205                  0                             1   \n","206                  0                             0   \n","207                  0                             0   \n","208                  0                             0   \n","\n","     stress_Home, Work, Financial, Personal  \\\n","204                                       0   \n","205                                       0   \n","206                                       0   \n","207                                       0   \n","208                                       0   \n","\n","     stress_Home, Work, Financial, Personal, None  \\\n","204                                             0   \n","205                                             0   \n","206                                             0   \n","207                                             0   \n","208                                             0   \n","\n","     stress_Home, Work, Personal  stress_Home, Work, Personal, None  \\\n","204                            0                                  0   \n","205                            0                                  0   \n","206                            0                                  1   \n","207                            0                                  0   \n","208                            0                                  0   \n","\n","     stress_None  stress_Personal  stress_Personal, Financial  \\\n","204            0                0                           0   \n","205            0                0                           0   \n","206            0                0                           0   \n","207            0                0                           0   \n","208            0                1                           0   \n","\n","     stress_Personal, None  stress_Personal, Work  \\\n","204                      0                      0   \n","205                      0                      0   \n","206                      0                      0   \n","207                      0                      0   \n","208                      0                      0   \n","\n","     stress_Personal, Work, Financial  stress_Personal, Work, Financial, Home  \\\n","204                                 0                                       0   \n","205                                 0                                       0   \n","206                                 0                                       0   \n","207                                 0                                       0   \n","208                                 0                                       0   \n","\n","     stress_Personal, Work, Home  stress_Work  stress_Work, Financial  \\\n","204                            0            1                       0   \n","205                            0            0                       0   \n","206                            0            0                       0   \n","207                            0            0                       0   \n","208                            0            0                       0   \n","\n","     stress_Work, Financial, Personal  stress_Work, Personal  inter_Maybe  \\\n","204                                 0                      0            0   \n","205                                 0                      0            1   \n","206                                 0                      0            0   \n","207                                 0                      0            1   \n","208                                 0                      0            0   \n","\n","     inter_No  inter_Yes  inter_maybe  inter_no  inter_yes  ther_Maybe  \\\n","204         0          1            0         0          0           0   \n","205         0          0            0         0          0           0   \n","206         1          0            0         0          0           0   \n","207         0          0            0         0          0           1   \n","208         0          1            0         0          0           0   \n","\n","     ther_No  ther_Yes  ther_maybe  ther_no  ther_yes  conc_Maybe  conc_No  \\\n","204        1         0           0        0         0           0        0   \n","205        1         0           0        0         0           0        1   \n","206        0         1           0        0         0           0        0   \n","207        0         0           0        0         0           1        0   \n","208        1         0           0        0         0           0        1   \n","\n","     conc_Yes  conc_maybe  conc_no  conc_yes  fbad_Maybe  fbad_No  fbad_Yes  \\\n","204         1           0        0         0           0        0         1   \n","205         0           0        0         0           0        1         0   \n","206         1           0        0         0           0        1         0   \n","207         0           0        0         0           1        0         0   \n","208         0           0        0         0           1        0         0   \n","\n","     fbad_maybe  fbad_no  fbad_yes  \n","204           0        0         0  \n","205           0        0         0  \n","206           0        0         0  \n","207           0        0         0  \n","208           0        0         0  "]},"execution_count":78,"metadata":{},"output_type":"execute_result"}],"source":["pd.set_option('display.max_columns', None)\n","#pd.set_option(\"max_rows\", None)\n","data.tail()"]},{"cell_type":"markdown","metadata":{"id":"6scj_X2BLwfi"},"source":["## 5- HeatMap for correlation"]},{"cell_type":"code","execution_count":79,"metadata":{"executionInfo":{"elapsed":724,"status":"ok","timestamp":1670143051071,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"HuYYgIXNL039"},"outputs":[],"source":["import numpy as np\n","import seaborn as sns\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":80,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":461},"executionInfo":{"elapsed":15,"status":"ok","timestamp":1670143051073,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"VkAD4ohN3I79","outputId":"a94bc973-ed24-4c20-f6bd-cc11293fa17e"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-89a03760-ef78-47ac-a17e-fc37c07802e8\">\n","    <div class=\"colab-df-container\">\n","      <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>Gender</th>\n","      <th>Are you above 30 years of age?</th>\n","      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                                   \n","1                                                  3                                              \n","2                                                  1                                              \n","3                                                  1                                              \n","4                                                  2                                              \n","\n","   How confident you have been feeling in your capabilities recently.  \\\n","0                                                  3                    \n","1                                                  3                    \n","2                                                  3                    \n","3                                                  1                    \n","4                                                  3                    \n","\n","   Describe how supported you feel by others around you ( your friends, family, or otherwise.)  \\\n","0                                                  1                                             \n","1                                                  0                                             \n","2                                                  1                                             \n","3                                                  1                                             \n","4                                                  0                                             \n","\n","   How frequently have you been doing things that mean something to you or your life?  \\\n","0                                                  0                                    \n","1                                                  1                                    \n","2                                                  2                                    \n","3                                                  2                                    \n","4                                                  0                                    \n","\n","   How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?  \\\n","0                                                  1                                                   \n","1                                                  1                                                   \n","2                                                  3                                                   \n","3                                                  1                                                   \n","4                                                  1                                                   \n","\n","   How often do you get offended or angry or start crying ?  \\\n","0                                                  0          \n","1                                                  1          \n","2                                                  1          \n","3                                                  1          \n","4                                                  1          \n","\n","   How often do you make use of substance abuse(e.g. smoking, alcohol)?  \\\n","0                                                  0                      \n","1                                                  0                      \n","2                                                  0                      \n","3                                                  1                      \n","4                                                  0                      \n","\n","   How likely do you feel yourself vulnerable or lonely?  \\\n","0                                                2.0       \n","1                                                2.0       \n","2                                                3.0       \n","3                                                1.0       \n","4                                                4.0       \n","\n","   How comfortable are you in talking about your mental health?  \\\n","0                                                1.0              \n","1                                                3.0              \n","2                                                3.0              \n","3                                                3.0              \n","4                                                4.0              \n","\n","   Prediction_status  \n","0                  0  \n","1                  1  \n","2                  1  \n","3                  0  \n","4                  0  "]},"execution_count":80,"metadata":{},"output_type":"execute_result"}],"source":["df = data.iloc[:,:18]\n","df.head()"]},{"cell_type":"code","execution_count":81,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":748},"executionInfo":{"elapsed":7196,"status":"ok","timestamp":1670143058259,"user":{"displayName":"Hamza 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","text/plain":["<Figure size 1152x432 with 2 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize=(16, 6))\n","heatmap = sns.heatmap(df.corr(), vmin=-1, vmax=1, annot=True, cmap='BrBG')\n","heatmap.set_title('Correlation Heatmap', fontdict={'fontsize':18}, pad=12);\n","# save heatmap as .png file\n","# dpi - sets the resolution of the saved image in dots/inches\n","# bbox_inches - when set to 'tight' - does not allow the labels to be cropped\n","plt.savefig('heatmap.png', dpi=300, bbox_inches='tight')"]},{"cell_type":"code","execution_count":82,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":50,"status":"ok","timestamp":1670143058260,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"yHL6loQQMID_","outputId":"eecd304d-4aab-4793-b837-5a1f001d5b90"},"outputs":[{"name":"stdout","output_type":"stream","text":["[]\n"]},{"name":"stderr","output_type":"stream","text":["<ipython-input-82-deb015215022>:7: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n","Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n","  upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))\n"]}],"source":["import numpy as np\n","\n","# Create correlation matrix\n","corr_matrix = df.corr().abs()\n","\n","# Select upper triangle of correlation matrix\n","upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))\n","\n","# Find features with correlation greater than 0.95\n","to_drop = [column for column in upper.columns if any(upper[column] > 0.9)]\n","\n","# Drop features \n","#df.drop(to_drop, axis=1, inplace=True)\n","print(to_drop)"]},{"cell_type":"code","execution_count":83,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":731},"executionInfo":{"elapsed":716,"status":"ok","timestamp":1670143058965,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"sKsEfbKuNw1p","outputId":"494a6973-02ee-44f2-c1cb-99da89d9e108"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 576x864 with 2 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize=(8, 12))\n","heatmap = sns.heatmap(df.corr()[['Prediction_status']].sort_values(by='Prediction_status', ascending=False), vmin=-1, vmax=1, annot=True, cmap='BrBG')\n","heatmap.set_title('Features Correlating with Sales Price', fontdict={'fontsize':18}, pad=16);\n"]},{"cell_type":"code","execution_count":84,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1670143058967,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"cCQMixpaPG-U","outputId":"b5bfdd9f-86dc-4c6a-f0a5-acd6a2cd9a2b"},"outputs":[{"data":{"text/plain":["Index(['Gender', 'Are you above 30 years of age?', 'Employment Status', 'City',\n","       'How are you feeling today?', 'Have you been eating and sleeping well?',\n","       'Is your sadness momentarily or has it been constant for a long time? (last month)',\n","       'At what time of the day are you extremely low?',\n","       'How frequently have you had little pleasure or interest in the activities you usually enjoy?',\n","       'How confident you have been feeling in your capabilities recently.',\n","       'Describe how supported you feel by others around you ( your friends, family, or otherwise.)',\n","       'How frequently have you been doing things that mean something to you or your life?',\n","       'How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?',\n","       'How often do you get offended or angry or start crying ?',\n","       'How often do you make use of substance abuse(e.g. smoking, alcohol)?',\n","       'How likely do you feel yourself vulnerable or lonely?',\n","       'How comfortable are you in talking about your mental health?',\n","       'Prediction_status'],\n","      dtype='object')"]},"execution_count":84,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"markdown","metadata":{"id":"Z3UWvGyw3q6W"},"source":["* Our first model will treat the following features :     \n","1.  How are you feeling today?\n","2.  Describe how supported you feel by others around you ( your friends, family, or otherwise.)\n","3.  How many hours do you spend per day on watching mobile phone, laptop, computer, television, etc.?\n","4.  How likely do you feel yourself vulnerable or lonely?\n","5.  How often do you get offended or angry or start crying ?\n","6.  Have you been eating and sleeping well?\n","7. How frequently have you been doing things that mean something to you or your life?"]},{"cell_type":"markdown","metadata":{"id":"aLizBZ2V_Rfx"},"source":["* The rest of data will be used in the second model"]},{"cell_type":"code","execution_count":85,"metadata":{"executionInfo":{"elapsed":346,"status":"ok","timestamp":1670143059298,"user":{"displayName":"Hamza ROUAISSI","userId":"09320853917146431941"},"user_tz":-60},"id":"VJhJcdFp_PkF"},"outputs":[],"source":["#save data to .csv file\n","from pathlib import Path  \n","filepath = Path('/content/drive/MyDrive/My_work/TuniHack_work/data/data_for_model1.csv') \n","df.to_csv(filepath)\n","filepath = Path('/content/drive/MyDrive/My_work/TuniHack_work/data/data_for_model2.csv') \n","data.to_csv(filepath)"]},{"cell_type":"markdown","metadata":{"id":"UPsgSsCcCa24"},"source":["##End!"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyNSfj9dbStTn3JY1iqFpYnZ","provenance":[],"toc_visible":true},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}