Narco_Analysis_Model.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 34,
      "id": "c83f00ad-dfa1-4fb9-9ec0-36182dc7cfb1",
      "metadata": {
        "id": "c83f00ad-dfa1-4fb9-9ec0-36182dc7cfb1"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "file_path=r'/content/2009_VijaysenYadav_Shashi_Case_Finally.csv'\n",
        "df=pd.read_csv(file_path)\n",
        "np.random.seed(0)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "id": "a3102d79-58bc-4dec-810f-4e7fccf836d3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a3102d79-58bc-4dec-810f-4e7fccf836d3",
        "outputId": "8d995901-84a9-42f1-dc68-2ecf6e3a5e9d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 172 entries, 0 to 171\n",
            "Data columns (total 12 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   Question-ID            172 non-null    int64  \n",
            " 1   Question               172 non-null    object \n",
            " 2   Response               172 non-null    object \n",
            " 3   Heart rate             172 non-null    object \n",
            " 4   EEG                    172 non-null    object \n",
            " 5   Breath Rate            172 non-null    float64\n",
            " 6   Stress Level           172 non-null    int64  \n",
            " 7   Blood Pressure Status  172 non-null    int64  \n",
            " 8   Blood Pressure Time    170 non-null    float64\n",
            " 9   Pulse Pace             170 non-null    float64\n",
            " 10  Pulse Type             137 non-null    float64\n",
            " 11  mental health          0 non-null      float64\n",
            "dtypes: float64(5), int64(3), object(4)\n",
            "memory usage: 16.2+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "array_data = df.values"
      ],
      "metadata": {
        "id": "7kaV69fq5iLm"
      },
      "id": "7kaV69fq5iLm",
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(array_data[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-XqsLIbX5pSG",
        "outputId": "442a8811-18f3-4c03-a4e2-08748a602eac"
      },
      "id": "-XqsLIbX5pSG",
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[870653 'What is your full name?' 'Vijaysen Yadav' '80 bpm' 'normal'\n",
            " 3.393041129 6 1 620.0 1.0 1.0 nan]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "id": "065e204f-5a1c-49f9-b595-af3a5cc976f9",
      "metadata": {
        "id": "065e204f-5a1c-49f9-b595-af3a5cc976f9",
        "outputId": "5137d79d-4cb9-48c0-9a0b-98f2fb28ad3a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 172 entries, 0 to 171\n",
            "Data columns (total 11 columns):\n",
            " #   Column                 Non-Null Count  Dtype  \n",
            "---  ------                 --------------  -----  \n",
            " 0   Question-ID            172 non-null    int64  \n",
            " 1   Question               172 non-null    object \n",
            " 2   Response               172 non-null    object \n",
            " 3   Heart rate             172 non-null    object \n",
            " 4   EEG                    172 non-null    object \n",
            " 5   Breath Rate            172 non-null    float64\n",
            " 6   Stress Level           172 non-null    int64  \n",
            " 7   Blood Pressure Status  172 non-null    int64  \n",
            " 8   Blood Pressure Time    170 non-null    float64\n",
            " 9   Pulse Pace             170 non-null    float64\n",
            " 10  Pulse Type             137 non-null    float64\n",
            "dtypes: float64(4), int64(3), object(4)\n",
            "memory usage: 14.9+ KB\n"
          ]
        }
      ],
      "source": [
        "df = df.drop(columns=['mental health'])\n",
        "df.info()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "id": "d3c861d1-96de-4795-b77d-a7a1403caf76",
      "metadata": {
        "id": "d3c861d1-96de-4795-b77d-a7a1403caf76"
      },
      "outputs": [],
      "source": [
        "# import pandas as pd\n",
        "# from sklearn.model_selection import train_test_split\n",
        "# from sklearn.preprocessing import StandardScaler\n",
        "# from sklearn.impute import SimpleImputer\n",
        "# from sklearn.metrics import accuracy_score\n",
        "# from sklearn.linear_model import LogisticRegression  # You can choose other classifiers as well\n",
        "\n",
        "# # Step 1: Data Preprocessing\n",
        "# # Load your dataset (assuming 'data' is your DataFrame)\n",
        "# data = pd.read_csv('/content/2009_VijaysenYadav_Shashi_Case_Finally.csv')\n",
        "\n",
        "# # Step 2: Select your features and target variable\n",
        "# X = data[['Heart rate', 'Breath Rate', 'Pulse Ty']]  # Replace with your feature columns\n",
        "# y = data['TargetColumn']  # Replace with your target column\n",
        "\n",
        "# # Step 3: Split the dataset into a training set and a testing set\n",
        "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "# # Step 4: Impute missing values using SimpleImputer\n",
        "# imputer = SimpleImputer(strategy='mean')  # You can choose other strategies like 'median' or 'most_frequent'\n",
        "# X_train_imputed = imputer.fit_transform(X_train)\n",
        "# X_test_imputed = imputer.transform(X_test)\n",
        "\n",
        "# # Step 5: Normalize the data using StandardScaler\n",
        "# scaler = StandardScaler()\n",
        "# X_train_imputed = scaler.fit_transform(X_train_imputed)\n",
        "# X_test_imputed = scaler.transform(X_test_imputed)\n",
        "\n",
        "# # Step 6: Train a logistic regression model\n",
        "# model = LogisticRegression()\n",
        "# model.fit(X_train_imputed, y_train)\n",
        "\n",
        "# # Step 7: Make predictions and evaluate the model\n",
        "# y_pred = model.predict(X_test_imputed)\n",
        "# accuracy = accuracy_score(y_test, y_pred)\n",
        "# print(f'Accuracy: {accuracy}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "id": "538b7577-99e5-405e-9d4f-abff7b90e26b",
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        "id": "538b7577-99e5-405e-9d4f-abff7b90e26b",
        "outputId": "92a1c57b-1c8b-4306-ca51-55f443381376",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      0\n",
              "1      0\n",
              "2      0\n",
              "3      0\n",
              "4      0\n",
              "      ..\n",
              "167    0\n",
              "168    0\n",
              "169    0\n",
              "170    0\n",
              "171    0\n",
              "Name: Heart rate, Length: 172, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ],
      "source": [
        "\n",
        "\n",
        "# Sample DataFrame\n",
        "df1 = pd.DataFrame(df)\n",
        "\n",
        "# Classify 'Heart rate' entries\n",
        "df1 = pd.DataFrame(df)\n",
        "\n",
        "# Convert 'Heart rate' column to numeric\n",
        "df1['Heart rate'] = pd.to_numeric(df1['Heart rate'], errors='coerce')\n",
        "\n",
        "# Classify 'Heart rate' entries\n",
        "df1['Heart rate'] = df1['Heart rate'].apply(lambda x: 1 if x >= 100 else 0)\n",
        "\n",
        "# Display the modified DataFrame\n",
        "df1['Heart rate']\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "id": "745bbc57-7555-4006-9cf5-5353df8c19ce",
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        "colab": {
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          "height": 614
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Question-ID                                           Question  \\\n",
              "0         870653                            What is your full name?   \n",
              "1         323083                                  What is your age?   \n",
              "2         742314                               Where were you born?   \n",
              "3         233323                             Where did you grow up?   \n",
              "4         359284                      What is your current address?   \n",
              "..           ...                                                ...   \n",
              "167       343123  Is there any evidence you wish police had inve...   \n",
              "168       235321  What weaknesses do you see in the prosecution'...   \n",
              "169       734343  Did you know Shashi well as a person - what we...   \n",
              "170       173827  Would anything you know about Shashi's persona...   \n",
              "171       916527  When did you first meet or get to know Shashi ...   \n",
              "\n",
              "                                              Response  Heart rate     EEG  \\\n",
              "0                                       Vijaysen Yadav           0  normal   \n",
              "1                                   I am 35 years old.           0  normal   \n",
              "2               I was born in Faizabad, Uttar Pradesh.           0  normal   \n",
              "3                               I grew up in Faizabad.           0  normal   \n",
              "4                    I live at 15 Ram Nagar, Faizabad.           0  normal   \n",
              "..                                                 ...         ...     ...   \n",
              "167  I wish the police had investigated further int...           0  normal   \n",
              "168  I believe there are weaknesses in the prosecut...           0  normal   \n",
              "169  I did not know Shashi well as a person. We wer...           0  normal   \n",
              "170  Anything I know about Shashi's personal life w...           0  normal   \n",
              "171  I first met Shashi a few weeks before she went...           0  normal   \n",
              "\n",
              "     Breath Rate  Stress Level  Blood Pressure Status  Blood Pressure Time  \\\n",
              "0       3.393041             6                      1                620.0   \n",
              "1      66.755554             8                      1                766.0   \n",
              "2      39.852848             8                      1                665.0   \n",
              "3       2.599204             8                      1                803.0   \n",
              "4       1.992977             8                      1                949.0   \n",
              "..           ...           ...                    ...                  ...   \n",
              "167    29.342109             6                      1                682.0   \n",
              "168    23.171499             6                      1                827.0   \n",
              "169     0.995118             5                      1                345.0   \n",
              "170    20.306150             5                      1                756.0   \n",
              "171     6.283658             5                      1                760.0   \n",
              "\n",
              "     Pulse Pace  Pulse Type  \n",
              "0           1.0         1.0  \n",
              "1           1.0         1.0  \n",
              "2           1.0         1.0  \n",
              "3           1.0         1.0  \n",
              "4           1.0         1.0  \n",
              "..          ...         ...  \n",
              "167         1.0         1.0  \n",
              "168         1.0         1.0  \n",
              "169         1.0         NaN  \n",
              "170         1.0         1.0  \n",
              "171         1.0         1.0  \n",
              "\n",
              "[172 rows x 11 columns]"
            ],
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              "      <th>Question-ID</th>\n",
              "      <th>Question</th>\n",
              "      <th>Response</th>\n",
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              "      <th>Stress Level</th>\n",
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              "      <th>0</th>\n",
              "      <td>870653</td>\n",
              "      <td>What is your full name?</td>\n",
              "      <td>Vijaysen Yadav</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>3.393041</td>\n",
              "      <td>6</td>\n",
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              "      <td>620.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>323083</td>\n",
              "      <td>What is your age?</td>\n",
              "      <td>I am 35 years old.</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>66.755554</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>766.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>742314</td>\n",
              "      <td>Where were you born?</td>\n",
              "      <td>I was born in Faizabad, Uttar Pradesh.</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>39.852848</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>665.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>233323</td>\n",
              "      <td>Where did you grow up?</td>\n",
              "      <td>I grew up in Faizabad.</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>2.599204</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>803.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>359284</td>\n",
              "      <td>What is your current address?</td>\n",
              "      <td>I live at 15 Ram Nagar, Faizabad.</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>1.992977</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>949.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>343123</td>\n",
              "      <td>Is there any evidence you wish police had inve...</td>\n",
              "      <td>I wish the police had investigated further int...</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>29.342109</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>682.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>235321</td>\n",
              "      <td>What weaknesses do you see in the prosecution'...</td>\n",
              "      <td>I believe there are weaknesses in the prosecut...</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>23.171499</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>827.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>734343</td>\n",
              "      <td>Did you know Shashi well as a person - what we...</td>\n",
              "      <td>I did not know Shashi well as a person. We wer...</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>0.995118</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>345.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>173827</td>\n",
              "      <td>Would anything you know about Shashi's persona...</td>\n",
              "      <td>Anything I know about Shashi's personal life w...</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>20.306150</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>756.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
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              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>916527</td>\n",
              "      <td>When did you first meet or get to know Shashi ...</td>\n",
              "      <td>I first met Shashi a few weeks before she went...</td>\n",
              "      <td>0</td>\n",
              "      <td>normal</td>\n",
              "      <td>6.283658</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>760.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
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              "<p>172 rows × 11 columns</p>\n",
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              "      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-d4f9ab4e-12dd-4248-9570-1a04bef52ca7 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-d4f9ab4e-12dd-4248-9570-1a04bef52ca7');\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",
              "\n",
              "\n",
              "<div id=\"df-7e99a2ad-fbde-4dfd-804e-d8c65fd2ba05\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7e99a2ad-fbde-4dfd-804e-d8c65fd2ba05')\"\n",
              "            title=\"Suggest charts.\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7e99a2ad-fbde-4dfd-804e-d8c65fd2ba05 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ],
      "source": [
        "df1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "id": "05579352-1556-47f7-b9cc-b42b3f3750e0",
      "metadata": {
        "id": "05579352-1556-47f7-b9cc-b42b3f3750e0",
        "outputId": "f87af4bf-4cf0-404e-dd0c-30f94a0dd00c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      0\n",
              "1      0\n",
              "2      0\n",
              "3      0\n",
              "4      0\n",
              "      ..\n",
              "167    0\n",
              "168    0\n",
              "169    0\n",
              "170    0\n",
              "171    0\n",
              "Name: EEG, Length: 172, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ],
      "source": [
        "df1['EEG'] = df1['EEG'].replace({'normal': 0, 'anxiety': 1, 'norma': 0})\n",
        "df1['EEG']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "id": "ac52af99-9bce-4e22-a5fb-6570ca05b27a",
      "metadata": {
        "id": "ac52af99-9bce-4e22-a5fb-6570ca05b27a",
        "outputId": "393b13c6-5c6a-4b1d-883a-9ca3b302c1a0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    125\n",
              "1     47\n",
              "Name: EEG, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ],
      "source": [
        "df1['EEG'].value_counts()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "id": "bd60cef9-7c24-4750-a0ec-d4337b712a0a",
      "metadata": {
        "id": "bd60cef9-7c24-4750-a0ec-d4337b712a0a",
        "outputId": "32519eba-a6c7-42a3-b380-2096a8b333b1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    169\n",
              "3      3\n",
              "Name: Blood Pressure Status, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ],
      "source": [
        "df1['Blood Pressure Status'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "id": "3c246083-8a40-4900-85ae-61acfe998c1e",
      "metadata": {
        "id": "3c246083-8a40-4900-85ae-61acfe998c1e",
        "outputId": "58c660d0-fb19-479a-d8a2-2fecbc2ff18a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     Question-ID                                           Question  \\\n",
            "0         870653                            What is your full name?   \n",
            "1         323083                                  What is your age?   \n",
            "2         742314                               Where were you born?   \n",
            "3         233323                             Where did you grow up?   \n",
            "4         359284                      What is your current address?   \n",
            "..           ...                                                ...   \n",
            "167       343123  Is there any evidence you wish police had inve...   \n",
            "168       235321  What weaknesses do you see in the prosecution'...   \n",
            "169       734343  Did you know Shashi well as a person - what we...   \n",
            "170       173827  Would anything you know about Shashi's persona...   \n",
            "171       916527  When did you first meet or get to know Shashi ...   \n",
            "\n",
            "                                              Response  Heart rate  EEG  \\\n",
            "0                                       Vijaysen Yadav           0    0   \n",
            "1                                   I am 35 years old.           0    0   \n",
            "2               I was born in Faizabad, Uttar Pradesh.           0    0   \n",
            "3                               I grew up in Faizabad.           0    0   \n",
            "4                    I live at 15 Ram Nagar, Faizabad.           0    0   \n",
            "..                                                 ...         ...  ...   \n",
            "167  I wish the police had investigated further int...           0    0   \n",
            "168  I believe there are weaknesses in the prosecut...           0    0   \n",
            "169  I did not know Shashi well as a person. We wer...           0    0   \n",
            "170  Anything I know about Shashi's personal life w...           0    0   \n",
            "171  I first met Shashi a few weeks before she went...           0    0   \n",
            "\n",
            "     Breath Rate  Stress Level  Blood Pressure Status  Blood Pressure Time  \\\n",
            "0       3.393041             6                      1                620.0   \n",
            "1      66.755554             8                      1                766.0   \n",
            "2      39.852848             8                      1                665.0   \n",
            "3       2.599204             8                      1                803.0   \n",
            "4       1.992977             8                      1                949.0   \n",
            "..           ...           ...                    ...                  ...   \n",
            "167    29.342109             6                      1                682.0   \n",
            "168    23.171499             6                      1                827.0   \n",
            "169     0.995118             5                      1                345.0   \n",
            "170    20.306150             5                      1                756.0   \n",
            "171     6.283658             5                      1                760.0   \n",
            "\n",
            "     Pulse Pace  Pulse Type  Breath Rate (Normalized)  \n",
            "0           1.0         1.0                  0.032455  \n",
            "1           1.0         1.0                  0.675890  \n",
            "2           1.0         1.0                  0.402698  \n",
            "3           1.0         1.0                  0.024394  \n",
            "4           1.0         1.0                  0.018238  \n",
            "..          ...         ...                       ...  \n",
            "167         1.0         1.0                  0.295963  \n",
            "168         1.0         1.0                  0.233302  \n",
            "169         1.0         NaN                  0.008105  \n",
            "170         1.0         1.0                  0.204205  \n",
            "171         1.0         1.0                  0.061809  \n",
            "\n",
            "[172 rows x 12 columns]\n"
          ]
        }
      ],
      "source": [
        "def min_max_scaling(column):\n",
        "    min_val = column.min()\n",
        "    max_val = column.max()\n",
        "    scaled_column = (column - min_val) / (max_val - min_val)\n",
        "    return scaled_column\n",
        "\n",
        "# Apply Min-Max scaling to the 'Breath Rate' column\n",
        "df1['Breath Rate (Normalized)'] = min_max_scaling(df1['Breath Rate'])\n",
        "\n",
        "# Display the normalized DataFrame\n",
        "print(df1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "id": "3bc5a948-fe7a-4a03-bdb9-c3fadd862c15",
      "metadata": {
        "id": "3bc5a948-fe7a-4a03-bdb9-c3fadd862c15",
        "outputId": "064c56b6-677a-45ad-d68e-d4aa0a759259",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "     Question-ID                                           Question  \\\n",
            "0         870653                            What is your full name?   \n",
            "1         323083                                  What is your age?   \n",
            "2         742314                               Where were you born?   \n",
            "3         233323                             Where did you grow up?   \n",
            "4         359284                      What is your current address?   \n",
            "..           ...                                                ...   \n",
            "167       343123  Is there any evidence you wish police had inve...   \n",
            "168       235321  What weaknesses do you see in the prosecution'...   \n",
            "169       734343  Did you know Shashi well as a person - what we...   \n",
            "170       173827  Would anything you know about Shashi's persona...   \n",
            "171       916527  When did you first meet or get to know Shashi ...   \n",
            "\n",
            "                                              Response  Heart rate  EEG  \\\n",
            "0                                       Vijaysen Yadav           0    0   \n",
            "1                                   I am 35 years old.           0    0   \n",
            "2               I was born in Faizabad, Uttar Pradesh.           0    0   \n",
            "3                               I grew up in Faizabad.           0    0   \n",
            "4                    I live at 15 Ram Nagar, Faizabad.           0    0   \n",
            "..                                                 ...         ...  ...   \n",
            "167  I wish the police had investigated further int...           0    0   \n",
            "168  I believe there are weaknesses in the prosecut...           0    0   \n",
            "169  I did not know Shashi well as a person. We wer...           0    0   \n",
            "170  Anything I know about Shashi's personal life w...           0    0   \n",
            "171  I first met Shashi a few weeks before she went...           0    0   \n",
            "\n",
            "     Breath Rate  Stress Level  Blood Pressure Status  Blood Pressure Time  \\\n",
            "0       3.393041             6                      1                620.0   \n",
            "1      66.755554             8                      1                766.0   \n",
            "2      39.852848             8                      1                665.0   \n",
            "3       2.599204             8                      1                803.0   \n",
            "4       1.992977             8                      1                949.0   \n",
            "..           ...           ...                    ...                  ...   \n",
            "167    29.342109             6                      1                682.0   \n",
            "168    23.171499             6                      1                827.0   \n",
            "169     0.995118             5                      1                345.0   \n",
            "170    20.306150             5                      1                756.0   \n",
            "171     6.283658             5                      1                760.0   \n",
            "\n",
            "     Pulse Pace  Pulse Type  Breath Rate (Normalized)  \\\n",
            "0           1.0         1.0                  0.032455   \n",
            "1           1.0         1.0                  0.675890   \n",
            "2           1.0         1.0                  0.402698   \n",
            "3           1.0         1.0                  0.024394   \n",
            "4           1.0         1.0                  0.018238   \n",
            "..          ...         ...                       ...   \n",
            "167         1.0         1.0                  0.295963   \n",
            "168         1.0         1.0                  0.233302   \n",
            "169         1.0         NaN                  0.008105   \n",
            "170         1.0         1.0                  0.204205   \n",
            "171         1.0         1.0                  0.061809   \n",
            "\n",
            "     Blood Pressure Time (Normalized)  \n",
            "0                            0.481540  \n",
            "1                            0.596229  \n",
            "2                            0.516889  \n",
            "3                            0.625295  \n",
            "4                            0.739984  \n",
            "..                                ...  \n",
            "167                          0.530244  \n",
            "168                          0.644148  \n",
            "169                          0.265515  \n",
            "170                          0.588374  \n",
            "171                          0.591516  \n",
            "\n",
            "[172 rows x 13 columns]\n"
          ]
        }
      ],
      "source": [
        "def min_max_scaling(column):\n",
        "    min_val = column.min()\n",
        "    max_val = column.max()\n",
        "    scaled_column = (column - min_val) / (max_val - min_val)\n",
        "    return scaled_column\n",
        "\n",
        "# Apply Min-Max scaling to the 'Breath Rate' column\n",
        "df1['Blood Pressure Time (Normalized)'] = min_max_scaling(df1['Blood Pressure Time'])\n",
        "\n",
        "# Display the normalized DataFrame\n",
        "print(df1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "id": "ba362df6-59c3-4199-82a0-41b689c1e4e2",
      "metadata": {
        "id": "ba362df6-59c3-4199-82a0-41b689c1e4e2",
        "outputId": "6c22090d-7442-425e-eba6-18a007dd2b01",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "620.0    3\n",
              "739.0    3\n",
              "772.0    3\n",
              "584.0    2\n",
              "278.0    2\n",
              "        ..\n",
              "994.0    1\n",
              "820.0    1\n",
              "324.0    1\n",
              "927.0    1\n",
              "760.0    1\n",
              "Name: Blood Pressure Time, Length: 148, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "df1['Blood Pressure Time'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "id": "fd7b9c98-9e9f-4092-b1ea-22c46ed14dce",
      "metadata": {
        "id": "fd7b9c98-9e9f-4092-b1ea-22c46ed14dce",
        "outputId": "3f7bb243-b15d-4680-a09a-10be09a6196b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      0.032455\n",
              "1      0.675890\n",
              "2      0.402698\n",
              "3      0.024394\n",
              "4      0.018238\n",
              "         ...   \n",
              "167    0.295963\n",
              "168    0.233302\n",
              "169    0.008105\n",
              "170    0.204205\n",
              "171    0.061809\n",
              "Name: Breath Rate (Normalized), Length: 172, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ],
      "source": [
        "df1['Breath Rate (Normalized)']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "id": "d34725eb-44cb-4c3a-9ada-d3a9d5a22862",
      "metadata": {
        "id": "d34725eb-44cb-4c3a-9ada-d3a9d5a22862",
        "outputId": "ce4b457a-4a82-4aed-b925-a1d25e94ab37",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.0    165\n",
              "2.0      5\n",
              "Name: Pulse Pace, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ],
      "source": [
        "df1['Pulse Pace'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "id": "5fc2d1bd-64ff-4390-95b6-d33b6d0d515a",
      "metadata": {
        "id": "5fc2d1bd-64ff-4390-95b6-d33b6d0d515a",
        "outputId": "d93aa5d2-3124-46d2-8860-c4caae7d8ed2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model Accuracy: 1.0\n",
            "Classification Report:\n",
            "               precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        35\n",
            "\n",
            "    accuracy                           1.00        35\n",
            "   macro avg       1.00      1.00      1.00        35\n",
            "weighted avg       1.00      1.00      1.00        35\n",
            "\n"
          ]
        }
      ],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import accuracy_score, classification_report\n",
        "df1['High_Lie'] = ((df1['Heart rate'] > 100) & (df1['Breath Rate (Normalized)'] > 0.02  )).astype(int)\n",
        "X = df1[['Heart rate', 'Breath Rate']]\n",
        "y = df1['High_Lie']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "model = RandomForestClassifier(random_state=42)\n",
        "model.fit(X_train, y_train)\n",
        "y_pred = model.predict(X_test)\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "report = classification_report(y_test, y_pred)\n",
        "print(\"Model Accuracy:\", accuracy)\n",
        "print(\"Classification Report:\\n\", report)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "id": "14628a3a-221e-4f6c-b83d-b4d4d5ec8fa9",
      "metadata": {
        "id": "14628a3a-221e-4f6c-b83d-b4d4d5ec8fa9",
        "outputId": "7eb5dcf9-468e-460c-c5d1-25c48e1325df",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.0"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ],
      "source": [
        "df1['Breath Rate (Normalized)'].max()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "array = df1.values"
      ],
      "metadata": {
        "id": "G-ScbtyY6Fvz"
      },
      "id": "G-ScbtyY6Fvz",
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "array[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XHF9u3YV6LXC",
        "outputId": "b8899a8e-bc2b-422b-cca4-2e7e1c9fdc7a"
      },
      "id": "XHF9u3YV6LXC",
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([870653, 'What is your full name?', 'Vijaysen Yadav', 0, 0,\n",
              "       3.393041129, 6, 1, 620.0, 1.0, 1.0, 0.03245521527775622,\n",
              "       0.48153967007069914, 0], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import cross_val_score"
      ],
      "metadata": {
        "id": "Ptof4QX86RUi"
      },
      "id": "Ptof4QX86RUi",
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Assuming 'data' is a list of entries, including the provided data entry\n",
        "entries_list = df1.values.tolist()\n",
        "\n",
        "# Print the list of entries\n",
        "for entry in entries_list:\n",
        "    print(entry)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L6rTh1JK8Lno",
        "outputId": "4a32fa56-ffad-4696-fc60-ffddd2b117c4"
      },
      "id": "L6rTh1JK8Lno",
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[870653, 'What is your full name?', 'Vijaysen Yadav', 0, 0, 3.393041129, 6, 1, 620.0, 1.0, 1.0, 0.03245521527775622, 0.48153967007069914, 0]\n",
            "[323083, 'What is your age?', 'I am 35 years old.', 0, 0, 66.75555364, 8, 1, 766.0, 1.0, 1.0, 0.6758898334304336, 0.596229379418696, 0]\n",
            "[742314, 'Where were you born?', 'I was born in Faizabad, Uttar Pradesh.', 0, 0, 39.8528478, 8, 1, 665.0, 1.0, 1.0, 0.4026978217274713, 0.5168892380204242, 0]\n",
            "[233323, 'Where did you grow up?', 'I grew up in Faizabad.', 0, 0, 2.599204059, 8, 1, 803.0, 1.0, 1.0, 0.024393946370179102, 0.6252945797329144, 0]\n",
            "[359284, 'What is your current address?', 'I live at 15 Ram Nagar, Faizabad.', 0, 0, 1.99297681, 8, 1, 949.0, 1.0, 1.0, 0.018237820563041237, 0.7399842890809112, 0]\n",
            "[494705, 'What is your marital status?', 'I am currently unmarried.', 0, 0, 2.182352531, 8, 1, 1064.0, 1.0, 1.0, 0.020160896052004353, 0.8303220738413197, 0]\n",
            "[478663, 'Do you have any children?', 'No, I do not have any children.', 0, 0, 46.89647417, 7, 1, 90.0, 1.0, nan, 0.4742245472973307, 0.06520031421838178, 0]\n",
            "[806308, 'What is your occupation?', 'I work as a farmer.', 0, 0, 2.196072384, 6, 1, 954.0, 1.0, 1.0, 0.02030021862660449, 0.7439120188531029, 0]\n",
            "[299709, 'How long have you lived in Faizabad?', 'I have lived in Faizabad my whole life.', 0, 0, 5.311174574, 6, 1, 625.0, 1.0, 1.0, 0.05193350633408377, 0.48546739984289083, 0]\n",
            "[787252, 'Did you know the victim Shashi?', 'Yes, I knew Shashi but not very well. We were acquaintances.', 0, 1, 2.767906621, 6, 1, 932.0, 1.0, 1.0, 0.026107089745656894, 0.7266300078554595, 0]\n",
            "[646066, 'How did you know the victim?', 'I knew Shashi because we were from the same village. I would see her around sometimes.', 0, 0, 3.997726017, 8, 1, 585.0, 1.0, 1.0, 0.03859567869365106, 0.4540455616653574, 0]\n",
            "[945475, 'For how long did you know the victim?', 'I had known of Shashi for a few years since she was from my village. But we did not interact much.', 0, 0, 39.70806654, 6, 1, 710.0, 1.0, 1.0, 0.4012275947580532, 0.5522388059701493, 0]\n",
            "[684570, 'When did you last see the victim?', \"I don't recall the exact date but it was a few weeks before she went missing.\", 0, 1, 10.11073786, 8, 1, 1193.0, 1.0, 1.0, 0.10067218552851905, 0.9316575019638649, 0]\n",
            "[702972, 'Where did you last see the victim?', 'The last time I saw Shashi was in the market in our village.', 0, 0, 16.88132732, 8, 1, 557.0, 1.0, 1.0, 0.16942627167854896, 0.43205027494108406, 0]\n",
            "[560765, 'What was your relationship with the victim?', 'Shashi and I did not have much of a relationship. As I said, we were acquaintances from the same village but not close.', 0, 0, 0.397545067, 8, 1, 599.0, 1.0, 1.0, 0.00203650572143594, 0.46504320502749413, 0]\n",
            "[676918, 'Did you have any conflicts or disagreements with the victim?', 'No, I did not have any conflicts or disagreements with Shashi. We barely interacted.', 0, 0, 22.50597755, 8, 1, 710.0, 1.0, 1.0, 0.22654355648246402, 0.5522388059701493, 0]\n",
            "[676656, \"What happened on the day of the victim's disappearance?\", 'I do not know what happened to Shashi the day she disappeared. I was not involved.', 0, 1, 0.19894071, 7, 1, 291.0, 1.0, nan, 1.9715137451943104e-05, 0.22309505106048705, 0]\n",
            "[704382, 'Where were you on the day the victim disappeared?', 'On the day Shashi went missing, I was at home with my family.', 0, 0, 11.48439334, 8, 1, 584.0, 1.0, 1.0, 0.11462140335812597, 0.45326001571091906, 0]\n",
            "[771472, 'Who can verify your whereabouts that day?', 'My parents and brother can confirm I was at home that entire day.', 0, 0, 63.02740998, 7, 1, 750.0, 1.0, 1.0, 0.6380312227594319, 0.5836606441476826, 0]\n",
            "[198055, 'Did you harm or threaten the victim in any way?', 'No, I did not harm or threaten Shashi in any way. I am innocent.', 0, 1, 67.44814244, 6, 1, 607.0, 1.0, 1.0, 0.6829229448460747, 0.4713275726630008, 0]\n",
            "[477456, 'Do you know what happened to the victim?', 'I do not know what happened to Shashi after she disappeared. I wish I could help but I was not involved in any way.', 0, 0, 0.592743307, 6, 1, 648.0, 1.0, 1.0, 0.004018707816036758, 0.5035349567949725, 0]\n",
            "[734924, \"Do you have any knowledge about the victim's disappearance?\", 'I have no knowledge about why or how Shashi disappeared.', 0, 0, 21.9492162, 6, 1, 805.0, 1.0, 1.0, 0.22088974774851855, 0.6268656716417911, 0]\n",
            "[598985, \"Were you involved in the victim's disappearance in any way?\", \"No, I was not involved in Shashi's disappearance at all. I have been falsely accused.\", 0, 1, 1.580434181, 6, 1, 699.0, 1.0, 1.0, 0.014048526318810716, 0.5435978004713276, 0]\n",
            "[408931, 'Did you transport or move the victim after their disappearance?', 'No, I absolutely did not transport or move Shashi after she disappeared. I am innocent.', 0, 1, 3.382935722, 6, 1, 527.0, 1.0, 1.0, 0.032352596735077795, 0.408483896307934, 0]\n",
            "[788445, 'Did you confine or restrain the victim in any way?', 'No, I did not confine or restrain Shashi.', 0, 1, 0.590659358, 6, 1, 283.0, 1.0, nan, 0.003997545698628111, 0.21681068342498036, 0]\n",
            "[447198, 'Do you know where the victim was taken after disappearing?', 'I do not know where Shashi was taken. I had nothing to do with her disappearance.', 0, 1, 20.49665236, 6, 1, 753.0, 1.0, 1.0, 0.2061392300891923, 0.5860172820109977, 0]\n",
            "[745839, \"Do you know who was responsible for the victim's disappearance?\", \"No, I do not know who was responsible for Shashi's disappearance and murder. But it was not me.\", 0, 1, 45.49236634, 6, 1, 623.0, 1.0, 1.0, 0.4599660914748222, 0.4838963079340141, 0]\n",
            "[196459, 'Were you present when the victim was killed?', 'No, I was not present when Shashi was killed. I am innocent.', 0, 1, 3.181092001, 6, 1, 318.0, 1.0, nan, 0.030302911007643863, 0.24430479183032208, 0]\n",
            "[270422, 'Did you inflict any injuries on the victim?', 'I did not inflict any injuries on Shashi. I am being falsely accused.', 0, 1, 37.83689855, 6, 1, 930.0, 1.0, 1.0, 0.3822262292276673, 0.7250589159465829, 0]\n",
            "[232709, 'What weapon or instruments did you use to harm the victim?', 'I did not use any weapons or instruments to harm Shashi. I am innocent.', 0, 1, 34.95212788, 6, 1, 581.0, 1.0, 1.0, 0.3529319155877646, 0.4509033778476041, 0]\n",
            "[145850, 'Did you act alone in harming or killing the victim?', 'I did not act alone or with anyone else to harm or kill Shashi. I am not responsible for what happened to her.', 0, 1, 11.72500677, 7, 1, 1018.0, 1.0, 1.0, 0.11706478832376442, 0.7941869599371564, 0]\n",
            "[138641, 'Was anyone else involved in harming or killing the victim?', 'I do not know if anyone else was involved as I was not involved in any way. I am innocent.', 0, 1, 2.199593152, 7, 1, 304.0, 1.0, nan, 0.02033597137572868, 0.2333071484681854, 0]\n",
            "[332870, 'If so, who else was involved and what were their roles?', \"I do not know who else may have been involved as I was not involved in Shashi's disappearance and murder.\", 0, 1, 1.592750359, 4, 1, 281.0, 1.0, nan, 0.014173594832897096, 0.2152395915161037, 0]\n",
            "[253079, 'Where did the killing of the victim take place?', 'I do not know where Shashi was killed as I was not involved in her murder.', 0, 1, 0.397050622, 8, 1, 619.0, 1.0, 1.0, 0.0020314847237329647, 0.4807541241162608, 0]\n",
            "[514883, \"What happened to the victim's body after they were killed?\", \"I do not know what happened to Shashi's body as I did not kill her or have any role in her death.\", 0, 1, 1.573051316, 6, 1, 284.0, 1.0, nan, 0.013973554687574925, 0.2175962293794187, 0]\n",
            "[783994, \"Did you take any steps to conceal the victim's body?\", \"No, I did not take any steps to conceal Shashi's body because I am innocent.\", 0, 1, 18.35198813, 8, 1, 904.0, 1.0, 1.0, 0.18436056072761686, 0.7046347211311862, 0]\n",
            "[928671, \"Do you know where the victim's body is currently located?\", \"No, I do not know where Shashi's body is currently located.\", 0, 0, 49.75674582, 8, 1, 900.0, 1.0, 1.0, 0.5032700779115276, 0.7014925373134329, 0]\n",
            "[326942, 'Did you act in self-defense at any point?', 'I did not act in self-defense at any point because I was never involved in harming Shashi.', 0, 0, 0.99683844, 6, 1, 647.0, 1.0, 1.0, 0.00812221929775194, 0.5027494108405341, 0]\n",
            "[634895, 'Did you make any threats towards the victim beforehand?', 'No, I did not make any threats towards Shashi. We barely interacted.', 0, 0, 7.182425054, 6, 3, 437.0, 1.0, 1.0, 0.07093570953519247, 0.3377847604084839, 0]\n",
            "[986430, 'Did you plan to harm or kill the victim?', 'I did not make any plans to harm or kill Shashi. I am innocent.', 0, 0, 4.521101608, 6, 1, 687.0, 1.0, 1.0, 0.043910461207792274, 0.5341712490180676, 0]\n",
            "[842343, 'What was your motive for harming or killing the victim?', 'I had no motive to harm or kill Shashi. I am being falsely accused.', 0, 0, 5.761019651, 6, 1, 1029.0, 1.0, 1.0, 0.056501600051912716, 0.802827965435978, 0]\n",
            "[663389, 'Did you tell anyone else about your plans to harm the victim?', 'I did not tell anyone any plans because I had no plans to harm Shashi and I am innocent.', 0, 0, 4.371163045, 6, 1, 1067.0, 1.0, 1.0, 0.042387862778421, 0.8326787117046347, 0]\n",
            "[528757, 'Did you acquire any weapons, tools, or supplies in preparation for the crime?', 'I did not acquire any weapons, tools or supplies to harm Shashi because I am innocent.', 0, 0, 29.12938031, 6, 1, 604.0, 1.0, 1.0, 0.29380298886390777, 0.46897093479968577, 0]\n",
            "[142875, 'Did you take any steps to clean up or destroy evidence after the crime?', 'I did not take any steps to clean up or destroy evidence because I did not commit this crime.', 0, 0, 11.69481397, 6, 1, 7.0, 1.0, nan, 0.11675818601320126, 0.0, 0]\n",
            "[903262, 'Did you tell anyone else about what happened to the victim?', 'I did not tell anyone what happened to Shashi because I have no knowledge of it.', 0, 0, 0.198063257, 6, 1, 584.0, 1.0, 1.0, 1.0804764210290048e-05, 0.45326001571091906, 0]\n",
            "[927711, 'Have you confessed your involvement to anyone else?', 'I have not confessed any involvement to anyone because I am innocent.', 0, 0, 47.46369379, 6, 1, 635.0, 1.0, 2.0, 0.4799845578325829, 0.49332285938727416, 0]\n",
            "[134010, 'Do you have any regrets or remorse about what happened?', 'I regret what happened to Shashi. But I have no remorse because I was not involved in her disappearance and murder.', 0, 0, 0.990461138, 6, 1, 644.0, 1.0, 1.0, 0.008057458973159352, 0.5003927729772192, 0]\n",
            "[368224, 'Would you describe what happened in your own words?', 'I cannot describe what happened because I have no knowledge of what happened to Shashi. I am innocent.', 0, 0, 1.378687315, 6, 1, 932.0, 1.0, 1.0, 0.011999824136022847, 0.7266300078554595, 0]\n",
            "[145643, 'Is there anything else you want to say or clarify about this case?', 'I maintain my innocence. I am being falsely accused and did not harm Shashi in any way. I wish her true killer is found and justice is served.', 0, 0, 17.96784358, 6, 1, 927.0, 1.0, 1.0, 0.18045964373349085, 0.7227022780832679, 0]\n",
            "[419657, 'Where were you on [date of disappearance]?', 'On January 19th, I was at home with my family all day.', 0, 0, 0.393419933, 6, 1, 324.0, 1.0, nan, 0.00199461574714463, 0.24901806755695208, 0]\n",
            "[152978, 'What proof do you have of your whereabouts that day?', 'My parents and brother can confirm I was home the entire day on January 19th.', 0, 0, 27.98729933, 3, 1, 820.0, 1.0, 1.0, 0.28220536733432966, 0.638648860958366, 0]\n",
            "[203648, 'When did you last see Shashi before she disappeared?', 'I last saw Shashi a few weeks before she went missing, in the village market.', 0, 0, 5.573347934, 3, 1, 994.0, 1.0, 1.0, 0.05459582840901916, 0.7753338570306363, 0]\n",
            "[854294, 'Did you meet with Shashi on the day she disappeared? If so, where and what time?', 'No, I did not meet with Shashi at all on the day she disappeared.', 0, 0, 4.923474283, 8, 1, 13.0, 1.0, nan, 0.04799648144647441, 0.004713275726630008, 0]\n",
            "[784039, 'What was the nature of your relationship with Shashi?', 'Shashi and I were acquaintances from the same village but we did not have a close relationship.', 0, 0, 4.385830007, 6, 1, 97.0, 1.0, nan, 0.042536803070084644, 0.07069913589945012, 0]\n",
            "[478726, 'Did you ever fight with or threaten Shashi?', 'No, I never fought with or threatened Shashi in any way.', 0, 0, 0.787822174, 8, 1, 682.0, 1.0, 1.0, 0.005999697699858222, 0.5302435192458759, 0]\n",
            "[891276, 'Did you owe Shashi any money or have any financial disputes with her?', 'No, I did not owe Shashi any money or have any financial disputes with her.', 0, 0, 1.195457647, 8, 1, 596.0, 1.0, 1.0, 0.010139160680744703, 0.4626865671641791, 0]\n",
            "[383388, 'What do you think happened to Shashi after she disappeared?', 'I do not know what happened to Shashi after she disappeared. I wish I did to help find justice.', 0, 0, 32.46237847, 6, 1, 896.0, 1.0, 1.0, 0.32764896992425274, 0.6983503534956795, 0]\n",
            "[821420, \"Are you responsible for Shashi's disappearance in any way?\", \"No, I am not at all responsible for Shashi's disappearance. I have been falsely accused.\", 0, 0, 0.196999253, 8, 1, 838.0, 1.0, 1.0, 0.0, 0.6527886881382561, 0]\n",
            "[201256, \"Do you know where Shashi's body is located?\", \"No, I do not know where Shashi's body is located.\", 0, 0, 35.31061386, 8, 1, 278.0, 1.0, nan, 0.3565722745399817, 0.2128829536527887, 0]\n",
            "[411289, 'Did you act alone in this crime? Or were others involved?', 'I did not act alone or with anyone else regarding Shashi. I am innocent.', 0, 0, 49.67713351, 6, 1, 739.0, 1.0, 1.0, 0.5024616295995037, 0.575019638648861, 0]\n",
            "[469330, 'What was the motive for harming or killing Shashi?', 'I had absolutely no motive to harm or kill Shashi.', 0, 0, 3.599243304, 8, 1, 590.0, 1.0, 1.0, 0.03454916030101177, 0.4579732914375491, 0]\n",
            "[691378, 'Did you tell anyone else about your plans to harm Shashi?', 'I did not tell anyone any such plans because I had no plans to harm Shashi.', 0, 0, 4.538133942, 8, 1, 282.0, 1.0, nan, 0.044083421415480314, 0.21602513747054203, 0]\n",
            "[538006, \"How did you transport or move Shashi's body after killing her?\", \"I did not transport or move Shashi's body. I am innocent.\", 0, 0, 19.8183731, 8, 1, 703.0, 1.0, 1.0, 0.19925142941078305, 0.5467399842890809, 0]\n",
            "[573731, 'What weapons or tools did you use to subdue or kill Shashi?', 'I did not use any weapons or tools to subdue or kill Shashi, because I am innocent.', 0, 0, 15.87555512, 8, 1, 1018.0, 1.0, 1.0, 0.15921284064796554, 0.7941869599371564, 0]\n",
            "[944865, 'Did you take any personal items from Shashi, such as jewelry or money?', \"No, I did not take any of Shashi's personal belongings.\", 0, 0, 17.48960003, 8, 1, 918.0, 1.0, 1.0, 0.1756031687645601, 0.7156323644933229, 0]\n",
            "[633481, 'Did you destroy or conceal any physical evidence related to this crime?', 'No, I did not destroy or conceal any evidence related to this crime.', 0, 0, 30.08786923, 8, 1, 689.0, 1.0, 1.0, 0.30353626691434343, 0.5357423409269442, 0]\n",
            "[724125, 'Have you confessed to harming or killing Shashi to anyone?', 'No, I have not confessed to harming or killing Shashi to anyone, because I am innocent.', 0, 0, 47.26304401, 6, 1, 726.0, 1.0, 1.0, 0.47794699635560856, 0.5648075412411626, 0]\n",
            "[661033, 'Do you feel any remorse for your actions?', 'I feel remorse that Shashi suffered. But I do not feel remorse for my actions, as I am innocent.', 0, 0, 1.191121534, 8, 1, 288.0, 1.0, nan, 0.01009512825365404, 0.22073841319717202, 0]\n",
            "[280700, 'Can you explain in your own words what happened to Shashi?', 'I cannot explain what happened to Shashi because I have no knowledge of it.', 0, 0, 15.40672899, 6, 1, 745.0, 2.0, 1.0, 0.15445199784072713, 0.579732914375491, 0]\n",
            "[314823, 'Is there anything you want to clarify about your involvement in this case?', \"I am maintaining my innocence. I was not involved in Shashi's disappearance and murder in any way.\", 0, 0, 8.548686732, 6, 1, 952.0, 1.0, 1.0, 0.08480984467034754, 0.7423409269442263, 0]\n",
            "[290210, \"What was your job/occupation at the time of Shashi's disappearance?\", 'I was working as a farmer at the time Shashi disappeared.', 0, 0, 6.283658275, 8, 1, 620.0, 1.0, 1.0, 0.06180889880220928, 0.48153967007069914, 0]\n",
            "[217567, 'Who can verify your whereabouts in the days prior to and after Shashi went missing?', 'My family can confirm I was at home and did not go anywhere unusual.', 0, 0, 12.71166066, 8, 1, 1030.0, 1.0, 1.0, 0.12708407644544034, 0.8036135113904164, 0]\n",
            "[557504, \"Did you travel anywhere around the time of Shashi's disappearance? If so, where?\", 'No, I did not travel anywhere around the time Shashi disappeared.', 0, 0, 0.397868909, 8, 1, 699.0, 1.0, 1.0, 0.0020397942771663595, 0.5435978004713276, 0]\n",
            "[125283, \"Did you notice anything unusual around the time of Shashi's disappearance?\", 'No, I did not notice anything unusual around that time.', 0, 0, 27.70612835, 8, 1, 1032.0, 1.0, 1.0, 0.279350127935158, 0.805184603299293, 0]\n",
            "[269587, 'When did you first learn that Shashi was missing? Who informed you?', 'I learned she was missing when the police came to our village asking about her whereabouts.', 0, 0, 23.17149939, 8, 1, 284.0, 1.0, nan, 0.2333018079157279, 0.2175962293794187, 0]\n",
            "[727242, 'Did you assist at all in the search for Shashi after her disappearance?', 'No, I did not assist in searching for Shashi.', 0, 0, 0.995117587, 8, 1, 278.0, 1.0, nan, 0.008104744353197623, 0.2128829536527887, 0]\n",
            "[142413, 'Were you interviewed by police after Shashi went missing? If so, when?', 'Yes, the police interviewed me shortly after Shashi was reported missing.', 0, 0, 20.30614958, 8, 1, 215.0, 1.0, nan, 0.20420470952413353, 0.1633935585231736, 0]\n",
            "[420851, 'Have you told the complete truth about this case in previous police interviews?', 'Yes, I have told the complete truth in all my statements to the police.', 0, 0, 10.15104762, 8, 1, 667.0, 1.0, 1.0, 0.10108152370034301, 0.5184603299293009, 0]\n",
            "[239531, \"Why should the court believe your version of events over the prosecution's?\", 'Because I am innocent and have told the truth consistently from the start.', 0, 1, 7.318670581, 8, 1, 848.0, 1.0, 1.0, 0.07231925771164834, 0.6606441476826395, 0]\n",
            "[954045, 'Is there any evidence that could exonerate you in this case?', 'I do not know of any evidence but I am sure my innocence will be proven.', 0, 0, 31.6078916, 8, 1, 909.0, 1.0, 1.0, 0.31897181349331927, 0.7085624509033779, 0]\n",
            "[683431, 'Do you have an alibi for your whereabouts when Shashi disappeared?', 'Yes, my family can confirm I was home that entire day.', 0, 0, 13.71705544, 8, 3, nan, nan, nan, 0.13729367484559357, nan, 0]\n",
            "[210775, 'Have you been falsely accused or framed in this case? If so, why?', 'Yes, I have been falsely accused but I do not know why.', 0, 1, 5.951045486, 8, 1, 854.0, 1.0, 1.0, 0.0584312773285381, 0.6653574234092694, 0]\n",
            "[807460, \"Who do you believe is the real perpetrator in Shashi's disappearance and murder? Why?\", 'I do not have any idea who is truly responsible. But I know it was not me.', 0, 0, 5.344804178, 5, 1, 913.0, 2.0, 1.0, 0.052275008754850465, 0.7117046347211312, 0]\n",
            "[822136, 'Is there any reason someone would falsely accuse you of being involved?', 'No, I cannot think of any reason why someone would falsely accuse me.', 0, 0, 4.775795282, 5, 1, 543.0, 1.0, 1.0, 0.04649682845210952, 0.42105263157894735, 0]\n",
            "[351092, 'What do you believe happened to Shashi and who is truly responsible?', 'I do not know what happened to Shashi or who is responsible. I wish I did to help find justice.', 0, 0, 4.595820889, 5, 1, 701.0, 1.0, 1.0, 0.044669221713549215, 0.5451688923802043, 0]\n",
            "[463839, 'If new evidence were to come to light, would you reconsider your version of events?', 'No, I would not reconsider because I am telling the truth about my lack of involvement.', 0, 1, 19.55119021, 4, 1, 368.0, 1.0, nan, 0.19653823648343138, 0.2835820895522388, 0]\n",
            "[147603, 'Do you have any idea why you have been accused in this case?', 'No, I have no idea why I have been accused in this case.', 0, 0, 25.43669178, 4, 1, 708.0, 1.0, 1.0, 0.25630441849321994, 0.5506677140612726, 0]\n",
            "[339995, 'What do you think should happen to the real perpetrator when they are caught?', 'The real perpetrator should be tried and punished to the full extent of the law.', 0, 0, 17.69239483, 4, 1, 612.0, 1.0, 1.0, 0.17766251252367476, 0.4752553024351925, 0]\n",
            "[675049, \"Do you have any other information that could help solve this case or find Shashi's killer?\", 'No, I do not have any other information that could help with this case.', 0, 1, 4.579496175, 4, 1, 258.0, 1.0, nan, 0.04450344725633813, 0.197172034564022, 0]\n",
            "[393049, 'Is there anything else you want to state for the record in your defense?', 'I maintain my innocence and am telling the complete truth. I hope the real culprit is found.', 0, 0, 9.304464671, 4, 1, 141.0, 1.0, nan, 0.09248463012814105, 0.10526315789473684, 0]\n",
            "[764259, 'Are you willing to cooperate fully and testify truthfully in this trial?', 'Yes, I am willing to cooperate fully and testify truthfully. My conscience is clear.', 0, 0, 20.49935578, 4, 1, 830.0, 1.0, 1.0, 0.20616668282025474, 0.6465043205027494, 0]\n",
            "[885098, 'Do you plan to testify in your own defense during this trial?', 'Yes, I plan to testify truthfully in my own defense.', 0, 1, 28.38680522, 4, 1, 607.0, 1.0, 1.0, 0.2862622759005307, 0.4713275726630008, 0]\n",
            "[780572, 'Will you submit to a polygraph test?', 'Yes, I am willing to take a polygraph test to prove my innocence.', 0, 1, 1.184131362, 5, 1, 655.0, 1.0, 1.0, 0.010024144347344126, 0.5090337784760408, 0]\n",
            "[540690, 'Are there any witnesses or evidence you plan to present in your defense?', 'My family can testify I was home all day and did not go out on January 19th.', 0, 1, 14.90460889, 5, 1, 772.0, 1.0, 1.0, 0.14935306091403572, 0.600942655145326, 0]\n",
            "[831169, 'Do you have any past criminal record or charges?', 'No, I do not have any past criminal record.', 0, 1, 51.91609376, 4, 1, 832.0, 1.0, 1.0, 0.5251978576376151, 0.648075412411626, 0]\n",
            "[753936, 'Have you ever been accused of a crime before?', 'No, I have never been accused of any crime before this.', 0, 1, 2.567848629, 4, 3, nan, nan, nan, 0.024075537766581504, nan, 0]\n",
            "[700367, 'Are you currently under investigation for any other crimes?', 'No, I am not currently under investigation for any other crimes.', 0, 1, 39.53213518, 4, 1, 813.0, 1.0, 1.0, 0.39944104427328464, 0.6331500392772977, 0]\n",
            "[205562, 'Have you faced any other legal issues or disputes in the past?', 'No, I have not faced any other legal issues or disputes.', 0, 1, 43.66547299, 4, 1, 1280.0, 2.0, 1.0, 0.44141432674076364, 1.0, 0]\n",
            "[138517, 'Is there any other relevant background information about you that the court should know?', \"I have lived in the same village as Shashi for a long time. I'm known to the community, and I have no history of violent or criminal behavior.\", 0, 1, 44.46160745, 4, 1, 739.0, 1.0, 1.0, 0.44949892521970436, 0.575019638648861, 0]\n",
            "[353921, 'Do you have anything else to add before we proceed?', 'I want to emphasize my innocence and my willingness to cooperate fully with the investigation to clear my name.', 0, 1, 3.552459276, 4, 1, 673.0, 1.0, 1.0, 0.03407407713276465, 0.5231736056559309, 0]\n",
            "[886165, \"When was the last time you spoke to any of Shashi's family members or friends?\", \"I last spoke to Shashi's family and friends a few weeks before her disappearance, during a casual interaction in the village.\", 0, 1, 38.74279974, 4, 1, 878.0, 1.0, 1.0, 0.3914254885873797, 0.6842105263157895, 0]\n",
            "[956066, \"Did you know any of Shashi's family members or friends personally?\", 'Yes, I knew them as acquaintances from our small village.', 0, 1, 47.11875532, 4, 1, 976.0, 1.0, 1.0, 0.4764817713436145, 0.7611940298507462, 0]\n",
            "[646524, 'Did you attend the same school or university as Shashi?', 'No, I did not attend the same school or university as Shashi.', 0, 1, 38.55677184, 4, 1, 279.0, 1.0, nan, 0.3895364096026809, 0.21366849960722703, 0]\n",
            "[147516, 'Were you ever in a romantic relationship with Shashi?', 'No, we were not in a romantic relationship. We were acquaintances.', 0, 1, 46.27385386, 7, 1, 733.0, 1.0, 1.0, 0.4679019529818133, 0.5703063629222309, 0]\n",
            "[402161, 'Did you interact with Shashi on social media prior to her disappearance?', 'No, I did not have any interaction with Shashi on social media.', 0, 1, 47.13848319, 4, 1, 762.0, 1.0, 1.0, 0.4766821042218004, 0.5930871956009427, 0]\n",
            "[987882, \"Did you have Shashi's phone number or home address?\", 'No, I did not have her phone number or home address.', 0, 0, 50.64605162, 7, 1, 619.0, 2.0, 1.0, 0.5123008141492142, 0.4807541241162608, 0]\n",
            "[581318, \"Have you ever been to Shashi's home?\", \"No, I have never been to Shashi's home.\", 0, 0, 37.71289814, 6, 1, 772.0, 1.0, 1.0, 0.38096702795396037, 0.600942655145326, 0]\n",
            "[233603, \"Did you follow or monitor Shashi's daily routine?\", 'No, I had no reason to follow or monitor her daily routine.', 0, 0, 2.7644213, 4, 1, 281.0, 1.0, nan, 0.02607169695427437, 0.2152395915161037, 0]\n",
            "[960955, 'Did you encounter Shashi in a public place in the days before her disappearance?', 'As residents of the same village, we would occasionally cross paths in public places, but I did not see her in the days leading up to her disappearance.', 0, 0, 57.12433277, 4, 1, 719.0, 1.0, 1.0, 0.5780865633698168, 0.5593087195600943, 0]\n",
            "[597941, 'How would you describe your personality?', 'I am known in our community as a peaceful and non-violent individual. I do not have a history of aggressive behavior.', 0, 0, 56.01688321, 5, 1, 670.0, 1.0, 1.0, 0.5668406175175552, 0.5208169677926159, 0]\n",
            "[868013, 'How do you typically manage feelings of anger or stress?', 'I generally handle stress through discussions with family and meditation. I avoid conflict and violence.', 0, 0, 43.12442071, 4, 1, 606.0, 1.0, 1.0, 0.43592004071285406, 0.47054202670856243, 0]\n",
            "[983336, 'Have you received counseling or mental health treatment before?', 'No, I have not received counseling or mental health treatment.', 0, 0, 0.794517507, 5, 1, 617.0, 1.0, 1.0, 0.00606768757054891, 0.4791830322073841, 0]\n",
            "[933340, 'Have you ever been accused of violent or inappropriate behavior in the past?', 'No, I have never been accused of such behavior.', 0, 0, 72.80115012, 4, 1, 757.0, 1.0, 1.0, 0.7372817496985686, 0.589159465828751, 0]\n",
            "[602432, 'Do you have a history of substance abuse?', 'I do not have a history of substance abuse.', 0, 0, 8.88716408, 5, 1, 712.0, 1.0, 1.0, 0.08824701965809603, 0.5538098978790259, 0]\n",
            "[836586, 'Where did you obtain the vehicle you drove at the time of the crime?', 'I did not own a vehicle at the time of the crime. I mainly relied on public transportation.', 0, 0, 15.91721145, 4, 1, 769.0, 1.0, 1.0, 0.15963585298956953, 0.598586017282011, 0]\n",
            "[842777, 'Can you document your whereabouts in the weeks prior to the crime?', 'My family and neighbors can confirm that I was in the village in the weeks leading up to the incident. I did not leave the area.', 0, 0, 29.34210915, 4, 1, 759.0, 1.0, 1.0, 0.29596321096544925, 0.5907305577376276, 0]\n",
            "[578372, \"What was your demeanor when you learned about Shashi's disappearance?\", \"I was shocked and concerned when I heard about Shashi's disappearance. I wanted her to be found safely.\", 0, 0, 0.399240223, 4, 1, 765.0, 1.0, 1.0, 0.0020537197176987917, 0.5954438334642577, 0]\n",
            "[456570, \"Who did you discuss the case with after learning of Shashi's disappearance?\", 'I discussed the case with my family and some fellow villagers. We were all concerned about her safety.', 0, 0, 0.596671741, 4, 1, 288.0, 1.0, nan, 0.004058600338137885, 0.22073841319717202, 0]\n",
            "[892100, \"Did you reach out to Shashi's family after she went missing?\", 'No, I did not reach out to her family directly, as I did not have their contact information.', 0, 0, 58.52522819, 4, 1, 770.0, 1.0, 1.0, 0.5923123977617697, 0.5993715632364494, 0]\n",
            "[894164, \"Did you post about Shashi's disappearance on social media?\", 'No, I did not post anything on social media regarding her disappearance.', 0, 0, 3.39028109, 4, 1, 906.0, 1.0, 1.0, 0.032427187591200335, 0.7062058130400628, 0]\n",
            "[854552, 'Have you ever been questioned by police about other missing persons cases?', 'No, I have never been questioned by the police about other missing persons cases.', 0, 0, 98.67244761, 4, 1, 74.0, 1.0, nan, 1.0, 0.05263157894736842, 0]\n",
            "[277062, 'Did you continue your daily routine as normal after Shashi disappeared?', 'I continued with my usual activities in the village, as I had no reason to believe I was connected to her disappearance.', 0, 0, 33.54213641, 4, 1, 242.0, 1.0, nan, 0.338613712487146, 0.18460329929300864, 0]\n",
            "[677460, 'Did you alter your appearance or identifiers like your license plate after the crime?', 'No, I made no alterations to my appearance or identifiers.', 0, 0, 51.35819158, 4, 1, 547.0, 1.0, 1.0, 0.519532463985611, 0.42419481539670073, 0]\n",
            "[599198, 'Did you purchase any suspicious materials or supplies around the time of the crime?', 'No, I did not purchase any suspicious materials or supplies.', 0, 0, 60.36919925, 4, 1, 134.0, 1.0, nan, 0.6110375834884202, 0.0997643362136685, 0]\n",
            "[475653, 'Have you researched methods of disposing bodies or cleaning crime scenes?', 'I have no knowledge or interest in such matters.', 0, 0, 52.45480302, 4, 1, 260.0, 1.0, nan, 0.5306683507299341, 0.19874312647289866, 0]\n",
            "[603014, 'Do you have any experience with self-defense, martial arts, or handling weapons?', 'I have no experience with self-defense, martial arts, or handling weapons.', 0, 0, 55.0736089, 4, 1, 689.0, 1.0, 1.0, 0.5572618410231301, 0.5357423409269442, 0]\n",
            "[996404, \"Were you experiencing any financial difficulties at the time of Shashi's disappearance?\", 'I did not face any financial difficulties at the time.', 0, 0, 47.35861393, 5, 1, 961.0, 1.0, 1.0, 0.4789174912514889, 0.7494108405341713, 0]\n",
            "[296384, 'Did you have any large, unexplained expenses or cash withdrawals around that time?', 'No, I did not have any large, unexplained expenses or cash withdrawals.', 0, 0, 8.88716408, 4, 1, 1015.0, 1.0, 1.0, 0.08824701965809603, 0.7918303220738413, 0]\n",
            "[387469, 'Did you abruptly quit your job or school around the time of the crime?', 'I did not quit my job or school.', 0, 0, 11.72500677, 5, 1, 744.0, 1.0, 1.0, 0.11706478832376442, 0.5789473684210527, 0]\n",
            "[807730, \"Did you know any of the other initial suspects in Shashi's disappearance case?\", 'I did not personally know any of the other initial suspects.', 0, 0, 2.199593152, 5, 1, 864.0, 1.0, 1.0, 0.02033597137572868, 0.6732128829536528, 0]\n",
            "[929788, \"Are you familiar with the area where Shashi's body was eventually found?\", 'I have some familiarity with the area, as it is not far from our village.', 0, 0, 1.592750359, 4, 1, 981.0, 1.0, 1.0, 0.014173594832897096, 0.7651217596229379, 0]\n",
            "[769180, 'Do you have any medical conditions that could explain trace evidence found at the scene?', 'I do not have any medical conditions that would explain such evidence.', 0, 0, 0.397050622, 5, 1, 657.0, 1.0, 1.0, 0.0020314847237329647, 0.5106048703849175, 0]\n",
            "[940493, 'Have you ever owned any weapons or hunting equipment?', 'I have never owned any weapons or hunting equipment.', 0, 0, 1.573051316, 5, 1, 1031.0, 1.0, 1.0, 0.013973554687574925, 0.8043990573448547, 0]\n",
            "[898491, 'Have you ever harmed or threatened anyone in your past?', 'I have not harmed or threatened anyone in my past.', 0, 0, 18.35198813, 4, 1, 722.0, 1.0, 1.0, 0.18436056072761686, 0.5616653574234093, 0]\n",
            "[595931, 'Have you ever impersonated someone else or given false identifying details?', 'I have never impersonated anyone or provided false identifying details.', 0, 0, 49.75674582, 5, 1, 769.0, 1.0, 1.0, 0.5032700779115276, 0.598586017282011, 0]\n",
            "[542796, 'Do you know if Shashi was involved in any disputes in her personal or professional life?', \"I am not aware of any disputes in Shashi's personal or professional life.\", 0, 0, 15.91721145, 5, 1, 719.0, 1.0, 1.0, 0.15963585298956953, 0.5593087195600943, 0]\n",
            "[890535, 'Do you believe you were framed for this crime? If so, by whom and why?', 'I believe I have been falsely accused, but I do not know by whom or why.', 0, 0, 29.34210915, 4, 1, 320.0, 1.0, nan, 0.29596321096544925, 0.24587588373919875, 0]\n",
            "[591881, 'Have you heard any rumors or theories about what truly happened to Shashi?', 'I have heard rumors, but I do not know the accuracy of these speculations.', 0, 0, 0.399240223, 5, 1, 680.0, 1.0, 1.0, 0.0020537197176987917, 0.5286724273369993, 0]\n",
            "[883215, \"Has anyone approached you with information related to Shashi's case since the trial began?\", 'No one has approached me with information related to the case.', 0, 0, 0.99683844, 4, 1, 732.0, 1.0, 1.0, 0.00812221929775194, 0.5695208169677927, 0]\n",
            "[674771, 'Has anyone threatened you not to discuss certain details related to this case?', 'No one has threatened me regarding this case.', 0, 0, 7.182425054, 5, 1, 739.0, 1.0, 1.0, 0.07093570953519247, 0.575019638648861, 0]\n",
            "[310095, 'Do you have an idea of who else may have wanted to harm Shashi?', 'I have no knowledge of anyone who may have wanted to harm her.', 0, 0, 4.521101608, 4, 1, 903.0, 1.0, 1.0, 0.043910461207792274, 0.7038491751767478, 0]\n",
            "[112670, 'Why do you believe the prosecutors have incorrectly identified you as the perpetrator?', 'I believe there may have been a misunderstanding or misinformation that led to my identification as the perpetrator.', 0, 0, 2.7644213, 5, 1, 620.0, 1.0, 1.0, 0.02607169695427437, 0.48153967007069914, 0]\n",
            "[803159, \"Is there any reason your DNA or prints would be present at the crime scene or on Shashi's body?\", \"My DNA or prints should not be present at the crime scene or on Shashi's body.\", 0, 0, 57.12433277, 4, 1, 771.0, 1.0, 1.0, 0.5780865633698168, 0.6001571091908877, 0]\n",
            "[768244, 'Can you explain why witnesses may have placed you with Shashi on the day she disappeared?', 'I was not with her on the day she disappeared.', 0, 0, 56.01688321, 4, 1, 892.0, 1.0, 1.0, 0.5668406175175552, 0.6952081696779262, 0]\n",
            "[708771, 'If new forensic evidence was to be tested, would you agree to provide a DNA sample?', 'I would willingly provide a DNA sample to help clarify my innocence.', 0, 0, 43.12442071, 5, 1, 890.0, 1.0, 1.0, 0.43592004071285406, 0.6936370777690495, 0]\n",
            "[345829, 'Is there any reason why records of your phone or internet activity could implicate you?', 'My phone and internet records should not implicate me in any way, as I had no involvement in the crime.', 0, 0, 8.88716408, 5, 1, 736.0, 1.0, 1.0, 0.08824701965809603, 0.572663000785546, 0]\n",
            "[324032, 'Have you ever met any of the prosecutors, investigators, or witnesses involved in your trial?', 'I have not met any of the prosecutors, investigators, or witnesses involved in my trial.', 0, 0, 15.91721145, 5, 1, 287.0, 1.0, nan, 0.15963585298956953, 0.2199528672427337, 0]\n",
            "[773749, \"Has anyone offered to provide you an alibi for the time of Shashi's disappearance?\", \"No one has offered to provide me an alibi for the time of Shashi's disappearance.\", 0, 0, 27.70612835, 7, 1, 285.0, 1.0, nan, 0.279350127935158, 0.21838177533385703, 0]\n",
            "[934819, 'Have you been offered any bribes or incentives to plead guilty or alter your testimony?', 'I have not been offered any bribes or incentives to plead guilty or alter my testimony.', 0, 1, 23.17149939, 6, 1, 790.0, 1.0, 1.0, 0.2333018079157279, 0.615082482325216, 0]\n",
            "[496973, 'Do you believe you can get a fair trial in this case? Why or why not?', 'I have concerns about getting a fair trial in this case. The media coverage has been extensive, and it may have influenced public opinion.', 0, 0, 0.995117587, 3, 1, 368.0, 1.0, nan, 0.008104744353197623, 0.2835820895522388, 0]\n",
            "[675987, 'Who was paying for your legal fees and expenses related to this case?', 'My family is helping with my legal fees and expenses related to this case.', 0, 0, 20.30614958, 3, 1, 538.0, 1.0, 1.0, 0.20420470952413353, 0.4171249018067557, 0]\n",
            "[270844, 'Were you asked to undergo any investigative tests like a polygraph, chemical analysis, or investigative hypnosis?', 'Yes, I was asked to undergo a polygraph and chemical analysis test. I complied with these requests to demonstrate my innocence.', 0, 1, 10.15104762, 5, 1, 772.0, 1.0, 1.0, 0.10108152370034301, 0.600942655145326, 0]\n",
            "[153237, 'Have you been truthful to your legal counsel about all details related to this case?', 'I have been truthful to my legal counsel about all the details related to this case.', 0, 0, 0.794517507, 5, 1, 747.0, 1.0, 1.0, 0.00606768757054891, 0.5813040062843676, 0]\n",
            "[117899, 'Has your lawyer advised you to answer these questions or remain silent?', 'My lawyer has advised me on how to answer these questions, and I am following their guidance.', 0, 0, 72.80115012, 5, 1, 980.0, 1.0, 1.0, 0.7372817496985686, 0.7643362136684996, 0]\n",
            "[216347, 'Do you plan to appeal if you are found guilty at this trial?', 'If found guilty, I will consider appealing the verdict. I believe in my innocence.', 0, 0, 15.40672899, 5, 1, 971.0, 1.0, 1.0, 0.15445199784072713, 0.7572663000785546, 0]\n",
            "[246097, 'Are you aware if any evidence was lost, compromised, or mishandled during the investigation?', 'I am not aware of any evidence being lost, compromised, or mishandled during the investigation.', 0, 1, 8.548686732, 5, 1, 1145.0, 1.0, 2.0, 0.08480984467034754, 0.8939512961508248, 0]\n",
            "[488362, 'Do all the statements you made to police accurately reflect what you told them?', 'Yes, all the statements I made to the police accurately reflect what I told them.', 0, 0, 6.283658275, 5, 1, 902.0, 1.0, 1.0, 0.06180889880220928, 0.7030636292223095, 0]\n",
            "[624247, 'Were you held in police custody for questioning for any length of time? What were the conditions like?', 'I was held in police custody for questioning for a brief period. The conditions were standard.', 0, 0, 12.71166066, 5, 1, 690.0, 1.0, 1.0, 0.12708407644544034, 0.5365278868813825, 0]\n",
            "[835478, 'Have you changed anything about your appearance since Shashi disappeared?', 'I have not changed anything about my appearance since Shashi disappeared.', 0, 1, 0.397868909, 5, 1, 1128.0, 2.0, 1.0, 0.0020397942771663595, 0.8805970149253731, 0]\n",
            "[962344, 'Have you noticed anyone following you or any unusual activity around your home or workplace?', 'I have not noticed anyone following me or any unusual activity around my home or workplace.', 0, 1, 27.70612835, 5, 1, 610.0, 1.0, 1.0, 0.279350127935158, 0.47368421052631576, 0]\n",
            "[430676, 'Has media coverage of this case impacted your personal or professional life?', 'The media coverage of this case has significantly impacted my personal and professional life. It has been a challenging time.', 0, 1, 57.12433277, 5, 1, 691.0, 1.0, 1.0, 0.5780865633698168, 0.5373134328358209, 0]\n",
            "[707094, 'What has been the hardest part of being under investigation and on trial for you?', 'The hardest part of being under investigation and on trial is the impact on my reputation and the uncertainty about my future.', 0, 1, 56.01688321, 6, 1, 645.0, 1.0, 1.0, 0.5668406175175552, 0.5011783189316575, 0]\n",
            "[884490, 'How will you move forward with your life if you are found not guilty?', 'If found not guilty, I plan to rebuild my life and put this ordeal behind me.', 0, 1, 43.12442071, 6, 1, 77.0, 1.0, nan, 0.43592004071285406, 0.05498821681068342, 0]\n",
            "[288736, 'Is there anything in your past that you regret or wish to atone for?', 'There is nothing in my past that I regret or need to atone for in relation to this case.', 0, 1, 0.794517507, 5, 1, 849.0, 1.0, 1.0, 0.00606768757054891, 0.6614296936370778, 0]\n",
            "[295040, 'Do you maintain hope you will one day clear your name if found guilty?', 'I maintain hope that I will clear my name, even if found guilty, because I am innocent.', 0, 1, 72.80115012, 5, 1, 660.0, 1.0, 1.0, 0.7372817496985686, 0.5129615082482325, 0]\n",
            "[875251, 'What motivates you to keep fighting this case?', 'What motivates me to keep fighting this case is the truth and my unwavering belief in my innocence.', 0, 1, 8.88716408, 5, 1, 675.0, 1.0, 1.0, 0.08824701965809603, 0.5247446975648076, 0]\n",
            "[662808, \"If Shashi's family were here today, is there anything you would wish to say to them?\", \"If Shashi's family were here today, I would express my sympathy for their loss and my commitment to finding the real perpetrator.\", 0, 0, 15.91721145, 6, 1, 587.0, 1.0, 1.0, 0.15963585298956953, 0.4556166535742341, 0]\n",
            "[343123, 'Is there any evidence you wish police had investigated further in this case?', 'I wish the police had investigated further into some specific evidence that could have exonerated me.', 0, 0, 29.34210915, 6, 1, 682.0, 1.0, 1.0, 0.29596321096544925, 0.5302435192458759, 0]\n",
            "[235321, \"What weaknesses do you see in the prosecution's case against you?\", \"I believe there are weaknesses in the prosecution's case against me, such as the lack of concrete evidence linking me to the crime.\", 0, 0, 23.17149939, 6, 1, 827.0, 1.0, 1.0, 0.2333018079157279, 0.6441476826394344, 0]\n",
            "[734343, 'Did you know Shashi well as a person - what were her interests, habits, and goals?', 'I did not know Shashi well as a person. We were acquaintances, and I did not have detailed knowledge of her interests, habits, and goals.', 0, 0, 0.995117587, 5, 1, 345.0, 1.0, nan, 0.008104744353197623, 0.2655145326001571, 0]\n",
            "[173827, \"Would anything you know about Shashi's personal life have a bearing on this case?\", \"Anything I know about Shashi's personal life would not have a bearing on this case, as we were not close.\", 0, 0, 20.30614958, 5, 1, 756.0, 1.0, 1.0, 0.20420470952413353, 0.5883739198743126, 0]\n",
            "[916527, 'When did you first meet or get to know Shashi and under what circumstances?', 'I first met Shashi a few weeks before she went missing in the village market, but we did not have a close relationship.', 0, 0, 6.283658275, 5, 1, 760.0, 1.0, 1.0, 0.06180889880220928, 0.591516103692066, 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j-GMyFBl85NR",
        "outputId": "10011930-0663-487f-90a8-a48b86ac2231"
      },
      "id": "j-GMyFBl85NR",
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 172 entries, 0 to 171\n",
            "Data columns (total 14 columns):\n",
            " #   Column                            Non-Null Count  Dtype  \n",
            "---  ------                            --------------  -----  \n",
            " 0   Question-ID                       172 non-null    int64  \n",
            " 1   Question                          172 non-null    object \n",
            " 2   Response                          172 non-null    object \n",
            " 3   Heart rate                        172 non-null    int64  \n",
            " 4   EEG                               172 non-null    int64  \n",
            " 5   Breath Rate                       172 non-null    float64\n",
            " 6   Stress Level                      172 non-null    int64  \n",
            " 7   Blood Pressure Status             172 non-null    int64  \n",
            " 8   Blood Pressure Time               170 non-null    float64\n",
            " 9   Pulse Pace                        170 non-null    float64\n",
            " 10  Pulse Type                        137 non-null    float64\n",
            " 11  Breath Rate (Normalized)          172 non-null    float64\n",
            " 12  Blood Pressure Time (Normalized)  170 non-null    float64\n",
            " 13  High_Lie                          172 non-null    int64  \n",
            "dtypes: float64(6), int64(6), object(2)\n",
            "memory usage: 18.9+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 1: Load your dataset into a DataFrame\n",
        "entries_list = pd.DataFrame(entries_list, columns=[\n",
        "    'Question-ID', 'Question', 'Response', 'Heart rate', 'EEG',\n",
        "    'Breath Rate', 'Stress Level', 'Blood Pressure Status',\n",
        "    'Blood Pressure Time', 'Pulse Pace', 'Pulse Type', 'Breath Rate (Normalized)', 'Blood Pressure Time (Normalized)', 'High_Lie'\n",
        "])"
      ],
      "metadata": {
        "id": "nSEseV8u7BtJ"
      },
      "id": "nSEseV8u7BtJ",
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Step 2: Data Preprocessing\n",
        "# Convert numeric columns to numeric types\n",
        "numeric_columns = ['Heart rate', 'EEG', 'Breath Rate', 'Blood Pressure Time', 'Pulse Pace', 'Pulse Type', 'Breath Rate (Normalized)', 'Blood Pressure Time (Normalized)']\n",
        "entries_list[numeric_columns] = entries_list[numeric_columns].apply(pd.to_numeric, errors='coerce')\n",
        "\n",
        "# Normalize numeric columns using StandardScaler\n",
        "scaler = StandardScaler()\n",
        "entries_list[numeric_columns] = scaler.fit_transform(entries_list[numeric_columns])\n",
        "\n",
        "# Impute missing values in numeric columns with the mean\n",
        "imputer = SimpleImputer(strategy='mean')\n",
        "entries_list[numeric_columns] = imputer.fit_transform(entries_list[numeric_columns])\n",
        "\n",
        "# Step 3: Feature Engineering\n",
        "# Create a new column representing the number of 'high' conditions met\n",
        "conditions = ((entries_list['Breath Rate (Normalized)'] > 0.5) &  # Adjust the threshold for Breath Rate\n",
        "              (entries_list['Stress Level'] > 4)                 # Adjust the threshold for Stress Level\n",
        "           )\n",
        "\n",
        "\n",
        "entries_list['HighConditions'] = conditions.astype(int)\n",
        "\n",
        "# Step 4: Model Building\n",
        "# Split the dataset into features (X) and the target variable (y)\n",
        "X = entries_list[['Breath Rate', 'Stress Level', 'Blood Pressure Status', 'Blood Pressure Time', 'Pulse Pace', 'Pulse Type', 'Breath Rate (Normalized)', 'Blood Pressure Time (Normalized)']]\n",
        "y = entries_list['HighConditions']  # 'HighConditions' should be your target variable\n",
        "\n",
        "# Split the dataset into a training set and a testing set\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "# Create and train a logistic regression model\n",
        "model = LogisticRegression()\n",
        "model.fit(X_train, y_train)\n",
        "\n",
        "# Step 5: Model Evaluation\n",
        "# Make predictions on the test set\n",
        "y_pred = model.predict(X_test)\n",
        "\n",
        "# Calculate accuracy\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print(f'Accuracy: {accuracy}')\n",
        "\n",
        "# Step 6: Cross-Validation\n",
        "# Optionally, you can perform cross-validation to evaluate the model's performance\n",
        "cv_scores = cross_val_score(model, X, y, cv=5, scoring='accuracy')\n",
        "print(f'Cross-Validation Scores: {cv_scores}')\n",
        "\n",
        "# Step 7: Hyperparameter Tuning, Regularization, Interpretation, and Fine-Tuning\n",
        "# You can further optimize your model based on results and interpretation\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mfxcMkVj70ok",
        "outputId": "f640dfde-be04-4689-a2c3-1f2ee2487705"
      },
      "id": "mfxcMkVj70ok",
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.9714285714285714\n",
            "Cross-Validation Scores: [0.97142857 0.82857143 0.97058824 0.73529412 0.94117647]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(entries_list['HighConditions'].value_counts())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vBVJ0eRT757v",
        "outputId": "28837375-06fa-498d-ec3d-3fd38c0a407a"
      },
      "id": "vBVJ0eRT757v",
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0    172\n",
            "Name: HighConditions, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "entries_list['Stress Level'].describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1H6t29KT-6ni",
        "outputId": "f3f406a8-91f1-4078-8f79-d47c185ae711"
      },
      "id": "1H6t29KT-6ni",
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count    172.000000\n",
              "mean       5.715116\n",
              "std        1.504459\n",
              "min        3.000000\n",
              "25%        4.000000\n",
              "50%        6.000000\n",
              "75%        7.000000\n",
              "max        8.000000\n",
              "Name: Stress Level, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "entries_list.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "id": "rzSaYY5J_TKg",
        "outputId": "9449aae0-6330-4715-f859-4ef4998eb372"
      },
      "id": "rzSaYY5J_TKg",
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Question-ID  Heart rate           EEG   Breath Rate  Stress Level  \\\n",
              "count     172.000000       172.0  1.720000e+02  1.720000e+02    172.000000   \n",
              "mean   566795.959302         0.0 -1.549148e-17  2.065531e-17      5.715116   \n",
              "std    264983.030000         0.0  1.002920e+00  1.002920e+00      1.504459   \n",
              "min    112670.000000         0.0 -6.131884e-01 -9.826997e-01      3.000000   \n",
              "25%    323794.750000         0.0 -6.131884e-01 -8.453534e-01      4.000000   \n",
              "50%    598463.000000         0.0 -6.131884e-01 -3.620778e-01      6.000000   \n",
              "75%    792123.500000         0.0  1.630820e+00  7.200270e-01      7.000000   \n",
              "max    996404.000000         0.0  1.630820e+00  3.712263e+00      8.000000   \n",
              "\n",
              "       Blood Pressure Status  Blood Pressure Time    Pulse Pace    Pulse Type  \\\n",
              "count             172.000000         1.720000e+02  1.720000e+02  1.720000e+02   \n",
              "mean                1.034884         5.163828e-18  1.032766e-17  9.036699e-18   \n",
              "std                 0.262586         1.002920e+00  1.002920e+00  1.002920e+00   \n",
              "min                 1.000000        -2.599469e+00 -1.750986e-01 -1.363804e-01   \n",
              "25%                 1.000000        -3.273236e-01 -1.750986e-01 -1.363804e-01   \n",
              "50%                 1.000000         1.176953e-01 -1.750986e-01 -1.363804e-01   \n",
              "75%                 1.000000         6.411317e-01 -1.750986e-01 -1.363804e-01   \n",
              "max                 3.000000         2.391801e+00  5.778255e+00  9.205679e+00   \n",
              "\n",
              "       Breath Rate (Normalized)  Blood Pressure Time (Normalized)  High_Lie  \\\n",
              "count              1.720000e+02                      1.720000e+02     172.0   \n",
              "mean              -2.065531e-17                     -5.163828e-18       0.0   \n",
              "std                1.002920e+00                      1.002920e+00       0.0   \n",
              "min               -9.826997e-01                     -2.599469e+00       0.0   \n",
              "25%               -8.453534e-01                     -3.273236e-01       0.0   \n",
              "50%               -3.620778e-01                      1.176953e-01       0.0   \n",
              "75%                7.200270e-01                      6.411317e-01       0.0   \n",
              "max                3.712263e+00                      2.391801e+00       0.0   \n",
              "\n",
              "       HighConditions  \n",
              "count      172.000000  \n",
              "mean         0.162791  \n",
              "std          0.370252  \n",
              "min          0.000000  \n",
              "25%          0.000000  \n",
              "50%          0.000000  \n",
              "75%          0.000000  \n",
              "max          1.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-82ffdd8f-21d4-4924-8d76-457e86dccd45\" 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>Question-ID</th>\n",
              "      <th>Heart rate</th>\n",
              "      <th>EEG</th>\n",
              "      <th>Breath Rate</th>\n",
              "      <th>Stress Level</th>\n",
              "      <th>Blood Pressure Status</th>\n",
              "      <th>Blood Pressure Time</th>\n",
              "      <th>Pulse Pace</th>\n",
              "      <th>Pulse Type</th>\n",
              "      <th>Breath Rate (Normalized)</th>\n",
              "      <th>Blood Pressure Time (Normalized)</th>\n",
              "      <th>High_Lie</th>\n",
              "      <th>HighConditions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>172.000000</td>\n",
              "      <td>172.0</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>172.000000</td>\n",
              "      <td>172.000000</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>1.720000e+02</td>\n",
              "      <td>172.0</td>\n",
              "      <td>172.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>566795.959302</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.549148e-17</td>\n",
              "      <td>2.065531e-17</td>\n",
              "      <td>5.715116</td>\n",
              "      <td>1.034884</td>\n",
              "      <td>5.163828e-18</td>\n",
              "      <td>1.032766e-17</td>\n",
              "      <td>9.036699e-18</td>\n",
              "      <td>-2.065531e-17</td>\n",
              "      <td>-5.163828e-18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.162791</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>264983.030000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.504459</td>\n",
              "      <td>0.262586</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>1.002920e+00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.370252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>112670.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-6.131884e-01</td>\n",
              "      <td>-9.826997e-01</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-2.599469e+00</td>\n",
              "      <td>-1.750986e-01</td>\n",
              "      <td>-1.363804e-01</td>\n",
              "      <td>-9.826997e-01</td>\n",
              "      <td>-2.599469e+00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>323794.750000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-6.131884e-01</td>\n",
              "      <td>-8.453534e-01</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-3.273236e-01</td>\n",
              "      <td>-1.750986e-01</td>\n",
              "      <td>-1.363804e-01</td>\n",
              "      <td>-8.453534e-01</td>\n",
              "      <td>-3.273236e-01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>598463.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-6.131884e-01</td>\n",
              "      <td>-3.620778e-01</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.176953e-01</td>\n",
              "      <td>-1.750986e-01</td>\n",
              "      <td>-1.363804e-01</td>\n",
              "      <td>-3.620778e-01</td>\n",
              "      <td>1.176953e-01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>792123.500000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.630820e+00</td>\n",
              "      <td>7.200270e-01</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.411317e-01</td>\n",
              "      <td>-1.750986e-01</td>\n",
              "      <td>-1.363804e-01</td>\n",
              "      <td>7.200270e-01</td>\n",
              "      <td>6.411317e-01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>996404.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.630820e+00</td>\n",
              "      <td>3.712263e+00</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2.391801e+00</td>\n",
              "      <td>5.778255e+00</td>\n",
              "      <td>9.205679e+00</td>\n",
              "      <td>3.712263e+00</td>\n",
              "      <td>2.391801e+00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-82ffdd8f-21d4-4924-8d76-457e86dccd45')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-82ffdd8f-21d4-4924-8d76-457e86dccd45 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-82ffdd8f-21d4-4924-8d76-457e86dccd45');\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",
              "\n",
              "\n",
              "<div id=\"df-c53c5397-263e-4806-8e15-c89c23dff5c3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c53c5397-263e-4806-8e15-c89c23dff5c3')\"\n",
              "            title=\"Suggest charts.\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c53c5397-263e-4806-8e15-c89c23dff5c3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "bvKkJnMVBoPV"
      },
      "id": "bvKkJnMVBoPV",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.5"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}