bipolar_disorder (1).ipynb

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              "               Name  Age  Gender  Little interest in work  Feeling hopeless    \\\n",
              "0               Aaa   16  Female                        1                   2   \n",
              "1     Abhinivesh S    19    Male                        1                   1   \n",
              "2         Abhishek    15    Male                        1                   1   \n",
              "3         Abinaya S   16  Female                        3                   1   \n",
              "4         Abinaya S   19  Female                        1                   1   \n",
              "..              ...  ...     ...                      ...                 ...   \n",
              "62           Swetha   19  Female                        2                   2   \n",
              "63          Varsha    17  Female                        3                   3   \n",
              "64    Vishnupriya.S   20  Female                        1                   1   \n",
              "65        Visruthi    17  Female                        2                   3   \n",
              "66  Visweswara S M    20    Male                        3                   1   \n",
              "\n",
              "    Feeling angry than usual  high energy  doing more risky things   \\\n",
              "0                          1            1                         2   \n",
              "1                          1            1                         1   \n",
              "2                          0            2                         0   \n",
              "3                          1            2                         1   \n",
              "4                          0            0                         3   \n",
              "..                       ...          ...                       ...   \n",
              "62                         2            2                         2   \n",
              "63                         2            3                         0   \n",
              "64                         2            0                         0   \n",
              "65                         2            2                         0   \n",
              "66                         1            1                         1   \n",
              "\n",
              "    Feeling nervous  panic  ...  sleep quality  Stomach pain  Back pain  \\\n",
              "0                 1      0  ...              3             1          0   \n",
              "1                 3      3  ...              4             0          0   \n",
              "2                 1      0  ...              5             0          0   \n",
              "3                 1      0  ...              3             0          0   \n",
              "4                 2      0  ...              3             0          0   \n",
              "..              ...    ...  ...            ...           ...        ...   \n",
              "62                2      2  ...              4             2          2   \n",
              "63                3      3  ...              3             1          0   \n",
              "64                1      1  ...              5             1          1   \n",
              "65                2      3  ...              2             1          1   \n",
              "66                2      2  ...              3             0          0   \n",
              "\n",
              "    joints pain  awful might happen  worried  felt nervous  scared easily  \\\n",
              "0             0                   3        3             3              1   \n",
              "1             0                   3        4             3              4   \n",
              "2             0                   3        2             2              3   \n",
              "3             0                   3        3             3              1   \n",
              "4             1                   1        2             2              4   \n",
              "..          ...                 ...      ...           ...            ...   \n",
              "62            2                   3        4             3              2   \n",
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              "64            0                   3        4             3              3   \n",
              "65            1                   5        5             4              4   \n",
              "66            1                   4        3             3              3   \n",
              "\n",
              "    worried when away from home  category  \n",
              "0                             1         n  \n",
              "1                             3         m  \n",
              "2                             4         n  \n",
              "3                             1         n  \n",
              "4                             3         d  \n",
              "..                          ...       ...  \n",
              "62                            2         m  \n",
              "63                            5         m  \n",
              "64                            1         h  \n",
              "65                            4         m  \n",
              "66                            4         h  \n",
              "\n",
              "[67 rows x 48 columns]"
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              "      <td>Abhinivesh S</td>\n",
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              "      <td>Abhishek</td>\n",
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              "      <th>3</th>\n",
              "      <td>Abinaya S</td>\n",
              "      <td>16</td>\n",
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              "      <td>Swetha</td>\n",
              "      <td>19</td>\n",
              "      <td>Female</td>\n",
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              "      <th>63</th>\n",
              "      <td>Varsha</td>\n",
              "      <td>17</td>\n",
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              "      <th>64</th>\n",
              "      <td>Vishnupriya.S</td>\n",
              "      <td>20</td>\n",
              "      <td>Female</td>\n",
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              "      <th>65</th>\n",
              "      <td>Visruthi</td>\n",
              "      <td>17</td>\n",
              "      <td>Female</td>\n",
              "      <td>2</td>\n",
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              "      <td>4</td>\n",
              "      <td>m</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>Visweswara S M</td>\n",
              "      <td>20</td>\n",
              "      <td>Male</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>h</td>\n",
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          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "import pandas as pd\n",
        "ds=pd.read_csv(\"/content/Bipolarf.csv\")\n",
        "ds"
      ],
      "id": "cJXtRfuIaLSN"
    },
    {
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        {
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 67 entries, 0 to 66\n",
            "Data columns (total 48 columns):\n",
            " #   Column                              Non-Null Count  Dtype \n",
            "---  ------                              --------------  ----- \n",
            " 0   Name                                67 non-null     object\n",
            " 1   Age                                 67 non-null     int64 \n",
            " 2   Gender                              67 non-null     object\n",
            " 3   Little interest in work             67 non-null     int64 \n",
            " 4   Feeling hopeless                    67 non-null     int64 \n",
            " 5   Feeling angry than usual            67 non-null     int64 \n",
            " 6   high energy                         67 non-null     int64 \n",
            " 7   doing more risky things             67 non-null     int64 \n",
            " 8   Feeling nervous                     67 non-null     int64 \n",
            " 9   panic                               67 non-null     int64 \n",
            " 10  Avoiding anxious situations         67 non-null     int64 \n",
            " 11  illnesses are not taken seriously   67 non-null     int64 \n",
            " 12  Thoughts of hurting yourself?       67 non-null     int64 \n",
            " 13  Sleep prob affecting sleep quality  67 non-null     int64 \n",
            " 14  memory problems                     67 non-null     int64 \n",
            " 15  repeated Unpleasant thoughts        67 non-null     int64 \n",
            " 16  Not feeling close to people         67 non-null     int64 \n",
            " 17  felt alone                          67 non-null     int64 \n",
            " 18  felt stressed                       67 non-null     int64 \n",
            " 19  feeling sad                         67 non-null     int64 \n",
            " 20  being myself                        67 non-null     int64 \n",
            " 21  hard to have fun.                   67 non-null     int64 \n",
            " 22  easily annoyed                      67 non-null     int64 \n",
            " 23  lose temper                         67 non-null     int64 \n",
            " 24  frequent anger                      67 non-null     int64 \n",
            " 25  Lose temper                         67 non-null     int64 \n",
            " 26  irritability problems               67 non-null     int64 \n",
            " 27  qnconfident                         67 non-null     int64 \n",
            " 28  qnsleep                             67 non-null     int64 \n",
            " 29  qntalk                              67 non-null     int64 \n",
            " 30  thoughts duration                   67 non-null     int64 \n",
            " 31  bothering                           67 non-null     int64 \n",
            " 32  thoughts control                    67 non-null     int64 \n",
            " 33  thoughts interference               67 non-null     int64 \n",
            " 34  Restlessleep                        67 non-null     int64 \n",
            " 35  sleepsatisfaction                   67 non-null     int64 \n",
            " 36  refreshment                         67 non-null     int64 \n",
            " 37  diffallsleep                        67 non-null     int64 \n",
            " 38  sleep quality                       67 non-null     int64 \n",
            " 39  Stomach pain                        67 non-null     int64 \n",
            " 40  Back pain                           67 non-null     int64 \n",
            " 41  joints pain                         67 non-null     int64 \n",
            " 42  awful might happen                  67 non-null     int64 \n",
            " 43  worried                             67 non-null     int64 \n",
            " 44  felt nervous                        67 non-null     int64 \n",
            " 45  scared easily                       67 non-null     int64 \n",
            " 46  worried when away from home         67 non-null     int64 \n",
            " 47  category                            67 non-null     object\n",
            "dtypes: int64(45), object(3)\n",
            "memory usage: 25.2+ KB\n"
          ]
        }
      ],
      "source": [
        "ds.info()"
      ],
      "id": "lwkoPp4paLST"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "tY0S2oT6aLSV"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "le=LabelEncoder()\n",
        "ds['Gender']=le.fit_transform(ds['Gender'])\n",
        "ds['Gender']=pd.DataFrame(ds['Gender'])"
      ],
      "id": "tY0S2oT6aLSV"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "esZR5BPuaLSW",
        "outputId": "00f1eacd-a836-46a6-e0c2-b398e8c75738"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 67 entries, 0 to 66\n",
            "Data columns (total 48 columns):\n",
            " #   Column                              Non-Null Count  Dtype \n",
            "---  ------                              --------------  ----- \n",
            " 0   Name                                67 non-null     object\n",
            " 1   Age                                 67 non-null     int64 \n",
            " 2   Gender                              67 non-null     int64 \n",
            " 3   Little interest in work             67 non-null     int64 \n",
            " 4   Feeling hopeless                    67 non-null     int64 \n",
            " 5   Feeling angry than usual            67 non-null     int64 \n",
            " 6   high energy                         67 non-null     int64 \n",
            " 7   doing more risky things             67 non-null     int64 \n",
            " 8   Feeling nervous                     67 non-null     int64 \n",
            " 9   panic                               67 non-null     int64 \n",
            " 10  Avoiding anxious situations         67 non-null     int64 \n",
            " 11  illnesses are not taken seriously   67 non-null     int64 \n",
            " 12  Thoughts of hurting yourself?       67 non-null     int64 \n",
            " 13  Sleep prob affecting sleep quality  67 non-null     int64 \n",
            " 14  memory problems                     67 non-null     int64 \n",
            " 15  repeated Unpleasant thoughts        67 non-null     int64 \n",
            " 16  Not feeling close to people         67 non-null     int64 \n",
            " 17  felt alone                          67 non-null     int64 \n",
            " 18  felt stressed                       67 non-null     int64 \n",
            " 19  feeling sad                         67 non-null     int64 \n",
            " 20  being myself                        67 non-null     int64 \n",
            " 21  hard to have fun.                   67 non-null     int64 \n",
            " 22  easily annoyed                      67 non-null     int64 \n",
            " 23  lose temper                         67 non-null     int64 \n",
            " 24  frequent anger                      67 non-null     int64 \n",
            " 25  Lose temper                         67 non-null     int64 \n",
            " 26  irritability problems               67 non-null     int64 \n",
            " 27  qnconfident                         67 non-null     int64 \n",
            " 28  qnsleep                             67 non-null     int64 \n",
            " 29  qntalk                              67 non-null     int64 \n",
            " 30  thoughts duration                   67 non-null     int64 \n",
            " 31  bothering                           67 non-null     int64 \n",
            " 32  thoughts control                    67 non-null     int64 \n",
            " 33  thoughts interference               67 non-null     int64 \n",
            " 34  Restlessleep                        67 non-null     int64 \n",
            " 35  sleepsatisfaction                   67 non-null     int64 \n",
            " 36  refreshment                         67 non-null     int64 \n",
            " 37  diffallsleep                        67 non-null     int64 \n",
            " 38  sleep quality                       67 non-null     int64 \n",
            " 39  Stomach pain                        67 non-null     int64 \n",
            " 40  Back pain                           67 non-null     int64 \n",
            " 41  joints pain                         67 non-null     int64 \n",
            " 42  awful might happen                  67 non-null     int64 \n",
            " 43  worried                             67 non-null     int64 \n",
            " 44  felt nervous                        67 non-null     int64 \n",
            " 45  scared easily                       67 non-null     int64 \n",
            " 46  worried when away from home         67 non-null     int64 \n",
            " 47  category                            67 non-null     object\n",
            "dtypes: int64(46), object(2)\n",
            "memory usage: 25.2+ KB\n"
          ]
        }
      ],
      "source": [
        "\n",
        "ds.info()"
      ],
      "id": "esZR5BPuaLSW"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KUmQc0nJaLSX",
        "outputId": "2017ccde-550e-486d-ba54-2c35c910e412"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-6-93ab1f416720>:1: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
            "  sums=ds.sum(axis=1)\n"
          ]
        }
      ],
      "source": [
        "sums=ds.sum(axis=1)"
      ],
      "id": "KUmQc0nJaLSX"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1rH8jpcuaLSY",
        "outputId": "e430dbe3-f6c9-4ab1-dd35-1117dbfd1161"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sno--Score\n",
            "0      85\n",
            "1     107\n",
            "2      83\n",
            "3      87\n",
            "4      96\n",
            "     ... \n",
            "62    128\n",
            "63    123\n",
            "64     98\n",
            "65    126\n",
            "66    103\n",
            "Length: 67, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(\"Sno--Score\")\n",
        "print(sums)"
      ],
      "id": "1rH8jpcuaLSY"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gu4iNJedaLSZ",
        "outputId": "30b8396d-212b-441c-f241-6e19a5039fe8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "97.77611940298507\n"
          ]
        }
      ],
      "source": [
        "tot=0\n",
        "for i in sums:\n",
        "    tot=tot+i\n",
        "    res=tot/67\n",
        "\n",
        "print(res)"
      ],
      "id": "Gu4iNJedaLSZ"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "vtIzXKAlaLSa"
      },
      "outputs": [],
      "source": [
        "thres=97.7;\n",
        "if thres > 97.7:\n",
        "    printf(\"You should consult the Doctor\")\n",
        "    "
      ],
      "id": "vtIzXKAlaLSa"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CT5AVSl_aLSb",
        "outputId": "99999ad7-2e0c-48b4-fa3c-09a14802ba48"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "107\n",
            "107\n",
            "128\n",
            "100\n",
            "115\n",
            "121\n",
            "105\n",
            "104\n",
            "120\n",
            "119\n",
            "101\n",
            "117\n",
            "108\n",
            "124\n",
            "102\n",
            "137\n",
            "112\n",
            "115\n",
            "112\n",
            "113\n",
            "109\n",
            "104\n",
            "99\n",
            "145\n",
            "111\n",
            "128\n",
            "107\n",
            "101\n",
            "128\n",
            "123\n",
            "98\n",
            "126\n",
            "103\n"
          ]
        }
      ],
      "source": [
        "for i in sums:\n",
        "    if i>thres:\n",
        "        print(i)"
      ],
      "id": "CT5AVSl_aLSb"
    },
    {
      "cell_type": "code",
      "source": [
        "ds.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y33sV90kiQVE",
        "outputId": "abad58b2-8d35-41ef-a263-96a569beca14"
      },
      "id": "y33sV90kiQVE",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Name', 'Age', 'Gender', 'Little interest in work',\n",
              "       'Feeling hopeless  ', 'Feeling angry than usual', 'high energy',\n",
              "       'doing more risky things ', 'Feeling nervous', 'panic',\n",
              "       'Avoiding anxious situations  ', 'illnesses are not taken seriously ',\n",
              "       'Thoughts of hurting yourself?', 'Sleep prob affecting sleep quality',\n",
              "       'memory problems', 'repeated Unpleasant thoughts',\n",
              "       'Not feeling close to people ', 'felt alone', 'felt stressed',\n",
              "       'feeling sad', 'being myself', 'hard to have fun.', 'easily annoyed',\n",
              "       'lose temper', 'frequent anger', 'Lose temper', 'irritability problems',\n",
              "       'qnconfident', 'qnsleep', 'qntalk', 'thoughts duration', 'bothering',\n",
              "       'thoughts control', 'thoughts interference', 'Restlessleep',\n",
              "       'sleepsatisfaction', 'refreshment', 'diffallsleep', 'sleep quality',\n",
              "       'Stomach pain', 'Back pain', 'joints pain', 'awful might happen',\n",
              "       'worried', 'felt nervous', 'scared easily',\n",
              "       'worried when away from home', 'category'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "xtmAGaAAaLSc"
      },
      "outputs": [],
      "source": [
        "mania=ds[['Restlessleep','diffallsleep','sleepsatisfaction','Sleep prob affecting sleep quality',\n",
        "          'qnconfident','qntalk','thoughts duration','bothering','thoughts control','repeated Unpleasant thoughts','Feeling angry than usual']]"
      ],
      "id": "xtmAGaAAaLSc"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "IHaPW5hDaLSd"
      },
      "outputs": [],
      "source": [
        "x1=mania.sum(axis=1)"
      ],
      "id": "IHaPW5hDaLSd"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KNRoJwTqaLSe",
        "outputId": "c504c558-8e24-4881-f049-54ab3b059c60"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0     18\n",
            "1     23\n",
            "2     18\n",
            "3     21\n",
            "4     23\n",
            "      ..\n",
            "62    28\n",
            "63    27\n",
            "64    21\n",
            "65    29\n",
            "66    21\n",
            "Length: 67, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(x1)"
      ],
      "id": "KNRoJwTqaLSe"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "joM6m8XWaLSf",
        "outputId": "29840ad7-cb77-4328-fc2a-a81d1a645450"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "21.47761194029851\n"
          ]
        }
      ],
      "source": [
        "tot=0\n",
        "for i in x1:\n",
        "    tot=tot+i\n",
        "    res1=tot/67\n",
        "\n",
        "print(res1)"
      ],
      "id": "joM6m8XWaLSf"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8xeOIzALaLSg",
        "outputId": "5bcaa1df-9618-4ec8-dd9d-c9615738e9f0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "IDs with mania\n",
            "[1, 4, 5, 9, 10, 11, 12, 15, 16, 20, 22, 27, 28, 29, 30, 33, 34, 37, 38, 44, 47, 51, 53, 54, 55, 56, 57, 62, 63, 65]\n"
          ]
        }
      ],
      "source": [
        "man=[]\n",
        "for i in range(len(x1)):\n",
        "    if x1[i]>res1:\n",
        "        man.append(i)\n",
        "\n",
        "print(\"IDs with mania\")\n",
        "print(man)\n"
      ],
      "id": "8xeOIzALaLSg"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GaBlT2v-aLSh",
        "outputId": "c4531f20-f5e2-4c23-b5b2-6e119553a9f7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Name', 'Age', 'Gender', 'Little interest in work',\n",
              "       'Feeling hopeless  ', 'Feeling angry than usual', 'high energy',\n",
              "       'doing more risky things ', 'Feeling nervous', 'panic',\n",
              "       'Avoiding anxious situations  ', 'illnesses are not taken seriously ',\n",
              "       'Thoughts of hurting yourself?', 'Sleep prob affecting sleep quality',\n",
              "       'memory problems', 'repeated Unpleasant thoughts',\n",
              "       'Not feeling close to people ', 'felt alone', 'felt stressed',\n",
              "       'feeling sad', 'being myself', 'hard to have fun.', 'easily annoyed',\n",
              "       'lose temper', 'frequent anger', 'Lose temper', 'irritability problems',\n",
              "       'qnconfident', 'qnsleep', 'qntalk', 'thoughts duration', 'bothering',\n",
              "       'thoughts control', 'thoughts interference', 'Restlessleep',\n",
              "       'sleepsatisfaction', 'refreshment', 'diffallsleep', 'sleep quality',\n",
              "       'Stomach pain', 'Back pain', 'joints pain', 'awful might happen',\n",
              "       'worried', 'felt nervous', 'scared easily',\n",
              "       'worried when away from home', 'category'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "ds.columns"
      ],
      "id": "GaBlT2v-aLSh"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "ilBun2bIaLSi"
      },
      "outputs": [],
      "source": [
        "hypomania=ds[['qntalk','being myself','Thoughts of hurting yourself?','Feeling nervous','worried','panic']]"
      ],
      "id": "ilBun2bIaLSi"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "MXjITIUQaLSi"
      },
      "outputs": [],
      "source": [
        "x2=hypomania.sum(axis=1)"
      ],
      "id": "MXjITIUQaLSi"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_BBP-IhCaLSj",
        "outputId": "dd7d9ae3-9c8c-4270-a6d4-7e343bc2dc46"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0     11\n",
            "1     18\n",
            "2      6\n",
            "3     12\n",
            "4     11\n",
            "      ..\n",
            "62    18\n",
            "63    18\n",
            "64    14\n",
            "65    20\n",
            "66    13\n",
            "Length: 67, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(x2)"
      ],
      "id": "_BBP-IhCaLSj"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O9Ahos2faLSk",
        "outputId": "0515b01b-e2fd-4be5-bb52-7e87e777616b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11.686567164179104\n"
          ]
        }
      ],
      "source": [
        "tot=0\n",
        "for i in x2:\n",
        "    tot=tot+i\n",
        "    res2=tot/67\n",
        "\n",
        "print(res2)"
      ],
      "id": "O9Ahos2faLSk"
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RyGSLF8-aLSl",
        "outputId": "d965acbd-cfc8-4ee1-b2e4-a7ec6f0add2d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "IDs with hypomania\n",
            "[1, 3, 5, 8, 9, 10, 11, 12, 14, 16, 18, 20, 21, 22, 24, 27, 29, 30, 34, 41, 43, 44, 45, 51, 53, 54, 55, 56, 60, 62, 63, 64, 65, 66]\n"
          ]
        }
      ],
      "source": [
        "hyp=[]\n",
        "for i in range(len(x2)):\n",
        "    if x2[i]>res2:\n",
        "        hyp.append(i)\n",
        "print(\"IDs with hypomania\")\n",
        "print(hyp)"
      ],
      "id": "RyGSLF8-aLSl"
    },
    {
      "cell_type": "code",
      "source": [
        "ds.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f4pw4jBLjGxU",
        "outputId": "96d9fff8-9328-4ff3-dfa9-2e84e5bec0e2"
      },
      "id": "f4pw4jBLjGxU",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Name', 'Age', 'Gender', 'Little interest in work',\n",
              "       'Feeling hopeless  ', 'Feeling angry than usual', 'high energy',\n",
              "       'doing more risky things ', 'Feeling nervous', 'panic',\n",
              "       'Avoiding anxious situations  ', 'illnesses are not taken seriously ',\n",
              "       'Thoughts of hurting yourself?', 'Sleep prob affecting sleep quality',\n",
              "       'memory problems', 'repeated Unpleasant thoughts',\n",
              "       'Not feeling close to people ', 'felt alone', 'felt stressed',\n",
              "       'feeling sad', 'being myself', 'hard to have fun.', 'easily annoyed',\n",
              "       'lose temper', 'frequent anger', 'Lose temper', 'irritability problems',\n",
              "       'qnconfident', 'qnsleep', 'qntalk', 'thoughts duration', 'bothering',\n",
              "       'thoughts control', 'thoughts interference', 'Restlessleep',\n",
              "       'sleepsatisfaction', 'refreshment', 'diffallsleep', 'sleep quality',\n",
              "       'Stomach pain', 'Back pain', 'joints pain', 'awful might happen',\n",
              "       'worried', 'felt nervous', 'scared easily',\n",
              "       'worried when away from home', 'category'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "n9PsNqgCaLSm"
      },
      "outputs": [],
      "source": [
        "MDE=ds[['feeling sad','Little interest in work','Restlessleep','diffallsleep','sleepsatisfaction','refreshment','Sleep prob affecting sleep quality','high energy','sleep quality','repeated Unpleasant thoughts','thoughts duration','bothering','thoughts control']]"
      ],
      "id": "n9PsNqgCaLSm"
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "G44qys6aaLSm"
      },
      "outputs": [],
      "source": [
        "x3=MDE.sum(axis=1)"
      ],
      "id": "G44qys6aaLSm"
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZNOW5Xi2aLSn",
        "outputId": "fca0ca95-9602-45c1-a8b2-a70dc433b3f4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0     27\n",
            "1     31\n",
            "2     28\n",
            "3     28\n",
            "4     27\n",
            "      ..\n",
            "62    38\n",
            "63    38\n",
            "64    28\n",
            "65    33\n",
            "66    30\n",
            "Length: 67, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(x3)"
      ],
      "id": "ZNOW5Xi2aLSn"
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IT6NXmVWaLSo",
        "outputId": "47d2ce27-1c2c-4fb8-be99-d2eeca553697"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "28.29850746268657\n"
          ]
        }
      ],
      "source": [
        "tot=0\n",
        "for i in x3:\n",
        "    tot=tot+i\n",
        "    res3=tot/67\n",
        "\n",
        "print(res3)"
      ],
      "id": "IT6NXmVWaLSo"
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vzyA8lAJaLSp",
        "outputId": "328c0a94-dde0-4dc0-bd6d-328f171bd53a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "IDs with Depression\n",
            "[1, 5, 9, 11, 12, 14, 15, 20, 22, 24, 27, 28, 29, 33, 34, 35, 37, 38, 39, 44, 45, 47, 48, 49, 53, 54, 55, 57, 60, 62, 63, 65, 66]\n"
          ]
        }
      ],
      "source": [
        "dep=[]\n",
        "for i in range(len(x3)):\n",
        "    if x3[i]>res3:\n",
        "        dep.append(i)\n",
        "print(\"IDs with Depression\")\n",
        "print(dep)"
      ],
      "id": "vzyA8lAJaLSp"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jxj1KSY9aLSq"
      },
      "source": [
        "# training DS"
      ],
      "id": "Jxj1KSY9aLSq"
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "fioU0HcoaLSs"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "df=pd.read_csv(\"/content/Bipolarf.csv\")"
      ],
      "id": "fioU0HcoaLSs"
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        },
        "id": "hE1lRg0eaLSt",
        "outputId": "fffd7683-6589-4399-8a8b-c906399b227f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Name  Age  Gender  Little interest in work  Feeling hopeless    \\\n",
              "0               Aaa   16  Female                        1                   2   \n",
              "1     Abhinivesh S    19    Male                        1                   1   \n",
              "2         Abhishek    15    Male                        1                   1   \n",
              "3         Abinaya S   16  Female                        3                   1   \n",
              "4         Abinaya S   19  Female                        1                   1   \n",
              "..              ...  ...     ...                      ...                 ...   \n",
              "62           Swetha   19  Female                        2                   2   \n",
              "63          Varsha    17  Female                        3                   3   \n",
              "64    Vishnupriya.S   20  Female                        1                   1   \n",
              "65        Visruthi    17  Female                        2                   3   \n",
              "66  Visweswara S M    20    Male                        3                   1   \n",
              "\n",
              "    Feeling angry than usual  high energy  doing more risky things   \\\n",
              "0                          1            1                         2   \n",
              "1                          1            1                         1   \n",
              "2                          0            2                         0   \n",
              "3                          1            2                         1   \n",
              "4                          0            0                         3   \n",
              "..                       ...          ...                       ...   \n",
              "62                         2            2                         2   \n",
              "63                         2            3                         0   \n",
              "64                         2            0                         0   \n",
              "65                         2            2                         0   \n",
              "66                         1            1                         1   \n",
              "\n",
              "    Feeling nervous  panic  ...  sleep quality  Stomach pain  Back pain  \\\n",
              "0                 1      0  ...              3             1          0   \n",
              "1                 3      3  ...              4             0          0   \n",
              "2                 1      0  ...              5             0          0   \n",
              "3                 1      0  ...              3             0          0   \n",
              "4                 2      0  ...              3             0          0   \n",
              "..              ...    ...  ...            ...           ...        ...   \n",
              "62                2      2  ...              4             2          2   \n",
              "63                3      3  ...              3             1          0   \n",
              "64                1      1  ...              5             1          1   \n",
              "65                2      3  ...              2             1          1   \n",
              "66                2      2  ...              3             0          0   \n",
              "\n",
              "    joints pain  awful might happen  worried  felt nervous  scared easily  \\\n",
              "0             0                   3        3             3              1   \n",
              "1             0                   3        4             3              4   \n",
              "2             0                   3        2             2              3   \n",
              "3             0                   3        3             3              1   \n",
              "4             1                   1        2             2              4   \n",
              "..          ...                 ...      ...           ...            ...   \n",
              "62            2                   3        4             3              2   \n",
              "63            0                   5        4             2              2   \n",
              "64            0                   3        4             3              3   \n",
              "65            1                   5        5             4              4   \n",
              "66            1                   4        3             3              3   \n",
              "\n",
              "    worried when away from home  category  \n",
              "0                             1         n  \n",
              "1                             3         m  \n",
              "2                             4         n  \n",
              "3                             1         n  \n",
              "4                             3         d  \n",
              "..                          ...       ...  \n",
              "62                            2         m  \n",
              "63                            5         m  \n",
              "64                            1         h  \n",
              "65                            4         m  \n",
              "66                            4         h  \n",
              "\n",
              "[67 rows x 48 columns]"
            ],
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              "      <td>Abhinivesh S</td>\n",
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              "      <td>m</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Abhishek</td>\n",
              "      <td>15</td>\n",
              "      <td>Male</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Abinaya S</td>\n",
              "      <td>16</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
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              "      <td>Abinaya S</td>\n",
              "      <td>19</td>\n",
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              "      <td>1</td>\n",
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              "      <td>3</td>\n",
              "      <td>d</td>\n",
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              "    <tr>\n",
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              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>Swetha</td>\n",
              "      <td>19</td>\n",
              "      <td>Female</td>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
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              "      <td>2</td>\n",
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              "      <td>2</td>\n",
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              "      <td>4</td>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>m</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>Varsha</td>\n",
              "      <td>17</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
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              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>m</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>Vishnupriya.S</td>\n",
              "      <td>20</td>\n",
              "      <td>Female</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
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              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>h</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>Visruthi</td>\n",
              "      <td>17</td>\n",
              "      <td>Female</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
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              "      <td>3</td>\n",
              "      <td>...</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>m</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>Visweswara S M</td>\n",
              "      <td>20</td>\n",
              "      <td>Male</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>h</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>67 rows × 48 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-27451723-45bf-43ff-b114-e8919a0ce33b')\"\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          const element = document.querySelector('#df-27451723-45bf-43ff-b114-e8919a0ce33b');\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",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "df"
      ],
      "id": "hE1lRg0eaLSt"
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "oGlMxj0EaLSu"
      },
      "outputs": [],
      "source": [
        "df=df.drop(['Name'],axis=1)"
      ],
      "id": "oGlMxj0EaLSu"
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "Di55osQ2aLSu"
      },
      "outputs": [],
      "source": [
        "x=df.iloc[:,:-1]\n",
        "y=df[\"category\"]"
      ],
      "id": "Di55osQ2aLSu"
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "erbujX_raLSv",
        "outputId": "af5909ca-67c8-40a5-eb6c-07c144c24a20"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Age  Gender  Little interest in work  Feeling hopeless    \\\n",
              "0    16  Female                        1                   2   \n",
              "1    19    Male                        1                   1   \n",
              "2    15    Male                        1                   1   \n",
              "3    16  Female                        3                   1   \n",
              "4    19  Female                        1                   1   \n",
              "..  ...     ...                      ...                 ...   \n",
              "62   19  Female                        2                   2   \n",
              "63   17  Female                        3                   3   \n",
              "64   20  Female                        1                   1   \n",
              "65   17  Female                        2                   3   \n",
              "66   20    Male                        3                   1   \n",
              "\n",
              "    Feeling angry than usual  high energy  doing more risky things   \\\n",
              "0                          1            1                         2   \n",
              "1                          1            1                         1   \n",
              "2                          0            2                         0   \n",
              "3                          1            2                         1   \n",
              "4                          0            0                         3   \n",
              "..                       ...          ...                       ...   \n",
              "62                         2            2                         2   \n",
              "63                         2            3                         0   \n",
              "64                         2            0                         0   \n",
              "65                         2            2                         0   \n",
              "66                         1            1                         1   \n",
              "\n",
              "    Feeling nervous  panic  Avoiding anxious situations    ...  diffallsleep  \\\n",
              "0                 1      0                              0  ...             2   \n",
              "1                 3      3                              2  ...             3   \n",
              "2                 1      0                              3  ...             3   \n",
              "3                 1      0                              0  ...             3   \n",
              "4                 2      0                              3  ...             4   \n",
              "..              ...    ...                            ...  ...           ...   \n",
              "62                2      2                              2  ...             5   \n",
              "63                3      3                              0  ...             3   \n",
              "64                1      1                              2  ...             1   \n",
              "65                2      3                              1  ...             4   \n",
              "66                2      2                              1  ...             4   \n",
              "\n",
              "    sleep quality  Stomach pain  Back pain  joints pain  awful might happen  \\\n",
              "0               3             1          0            0                   3   \n",
              "1               4             0          0            0                   3   \n",
              "2               5             0          0            0                   3   \n",
              "3               3             0          0            0                   3   \n",
              "4               3             0          0            1                   1   \n",
              "..            ...           ...        ...          ...                 ...   \n",
              "62              4             2          2            2                   3   \n",
              "63              3             1          0            0                   5   \n",
              "64              5             1          1            0                   3   \n",
              "65              2             1          1            1                   5   \n",
              "66              3             0          0            1                   4   \n",
              "\n",
              "    worried  felt nervous  scared easily  worried when away from home  \n",
              "0         3             3              1                            1  \n",
              "1         4             3              4                            3  \n",
              "2         2             2              3                            4  \n",
              "3         3             3              1                            1  \n",
              "4         2             2              4                            3  \n",
              "..      ...           ...            ...                          ...  \n",
              "62        4             3              2                            2  \n",
              "63        4             2              2                            5  \n",
              "64        4             3              3                            1  \n",
              "65        5             4              4                            4  \n",
              "66        3             3              3                            4  \n",
              "\n",
              "[67 rows x 46 columns]"
            ],
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>Age</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Little interest in work</th>\n",
              "      <th>Feeling hopeless</th>\n",
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              "      <th>Avoiding anxious situations</th>\n",
              "      <th>...</th>\n",
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              "      <th>worried</th>\n",
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              "      <th>0</th>\n",
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              "      <th>1</th>\n",
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              "      <td>Male</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>3</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>15</td>\n",
              "      <td>Male</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
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              "      <td>5</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
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              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "      <td>3</td>\n",
              "      <td>3</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>3</td>\n",
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              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>19</td>\n",
              "      <td>Female</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>3</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <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>62</th>\n",
              "      <td>19</td>\n",
              "      <td>Female</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
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              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
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              "      <td>4</td>\n",
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              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>17</td>\n",
              "      <td>Female</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
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              "      <td>3</td>\n",
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              "      <td>3</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>20</td>\n",
              "      <td>Female</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>17</td>\n",
              "      <td>Female</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>20</td>\n",
              "      <td>Male</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>67 rows × 46 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c796ec2f-56e5-44f2-8dab-93fa7a1a1111')\"\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
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              "                                                     [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",
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            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ],
      "source": [
        "x"
      ],
      "id": "erbujX_raLSv"
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "oPyydk35aLSw"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "le=LabelEncoder()\n",
        "df['Gender']=le.fit_transform(df['Gender'])\n",
        "df['category']=le.fit_transform(df['category'])"
      ],
      "id": "oPyydk35aLSw"
    },
    {
      "cell_type": "code",
      "source": [
        "df['Gender'] = df['Gender'].astype(float)"
      ],
      "metadata": {
        "id": "6b677fq7r1oL"
      },
      "id": "6b677fq7r1oL",
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "Y-Qd0BqEaLSw",
        "outputId": "6481f0f6-92c1-4553-d147-08e3f00fbc0a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Age  Gender  Little interest in work  Feeling hopeless    \\\n",
              "0    16     0.0                        1                   2   \n",
              "1    19     1.0                        1                   1   \n",
              "2    15     1.0                        1                   1   \n",
              "3    16     0.0                        3                   1   \n",
              "4    19     0.0                        1                   1   \n",
              "..  ...     ...                      ...                 ...   \n",
              "62   19     0.0                        2                   2   \n",
              "63   17     0.0                        3                   3   \n",
              "64   20     0.0                        1                   1   \n",
              "65   17     0.0                        2                   3   \n",
              "66   20     1.0                        3                   1   \n",
              "\n",
              "    Feeling angry than usual  high energy  doing more risky things   \\\n",
              "0                          1            1                         2   \n",
              "1                          1            1                         1   \n",
              "2                          0            2                         0   \n",
              "3                          1            2                         1   \n",
              "4                          0            0                         3   \n",
              "..                       ...          ...                       ...   \n",
              "62                         2            2                         2   \n",
              "63                         2            3                         0   \n",
              "64                         2            0                         0   \n",
              "65                         2            2                         0   \n",
              "66                         1            1                         1   \n",
              "\n",
              "    Feeling nervous  panic  Avoiding anxious situations    ...  sleep quality  \\\n",
              "0                 1      0                              0  ...              3   \n",
              "1                 3      3                              2  ...              4   \n",
              "2                 1      0                              3  ...              5   \n",
              "3                 1      0                              0  ...              3   \n",
              "4                 2      0                              3  ...              3   \n",
              "..              ...    ...                            ...  ...            ...   \n",
              "62                2      2                              2  ...              4   \n",
              "63                3      3                              0  ...              3   \n",
              "64                1      1                              2  ...              5   \n",
              "65                2      3                              1  ...              2   \n",
              "66                2      2                              1  ...              3   \n",
              "\n",
              "    Stomach pain  Back pain  joints pain  awful might happen  worried  \\\n",
              "0              1          0            0                   3        3   \n",
              "1              0          0            0                   3        4   \n",
              "2              0          0            0                   3        2   \n",
              "3              0          0            0                   3        3   \n",
              "4              0          0            1                   1        2   \n",
              "..           ...        ...          ...                 ...      ...   \n",
              "62             2          2            2                   3        4   \n",
              "63             1          0            0                   5        4   \n",
              "64             1          1            0                   3        4   \n",
              "65             1          1            1                   5        5   \n",
              "66             0          0            1                   4        3   \n",
              "\n",
              "    felt nervous  scared easily  worried when away from home  category  \n",
              "0              3              1                            1         3  \n",
              "1              3              4                            3         2  \n",
              "2              2              3                            4         3  \n",
              "3              3              1                            1         3  \n",
              "4              2              4                            3         0  \n",
              "..           ...            ...                          ...       ...  \n",
              "62             3              2                            2         2  \n",
              "63             2              2                            5         2  \n",
              "64             3              3                            1         1  \n",
              "65             4              4                            4         2  \n",
              "66             3              3                            4         1  \n",
              "\n",
              "[67 rows x 47 columns]"
            ],
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              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>67 rows × 47 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-056a619a-2a7f-48ef-8a75-f43b838ab359')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
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              "      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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-056a619a-2a7f-48ef-8a75-f43b838ab359 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-056a619a-2a7f-48ef-8a75-f43b838ab359');\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",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ],
      "source": [
        "df #3-n,2-m,0-d,1-h"
      ],
      "id": "Y-Qd0BqEaLSw"
    },
    {
      "cell_type": "code",
      "source": [
        "x=df.iloc[:,:-1]\n",
        "y=df[\"category\"]"
      ],
      "metadata": {
        "id": "FA77Nfvm6New"
      },
      "id": "FA77Nfvm6New",
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "id": "Rg_EiCW9aLSx"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.3,random_state=43)"
      ],
      "id": "Rg_EiCW9aLSx"
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lGdigc0OaLSx",
        "outputId": "b6a7b769-0196-4fee-c41d-6d7c33968d20"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((46, 46), (21, 46))"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "x_train.shape,x_test.shape"
      ],
      "id": "lGdigc0OaLSx"
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **NAIVE** **BAYES**"
      ],
      "metadata": {
        "id": "LYCL9DLtlgF4"
      },
      "id": "LYCL9DLtlgF4"
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.naive_bayes import GaussianNB"
      ],
      "metadata": {
        "id": "I7eE3wqIlhAC"
      },
      "id": "I7eE3wqIlhAC",
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ngjc8wL240yW",
        "outputId": "313490ea-2918-41bc-b5ad-9c3d2d6abd83"
      },
      "id": "ngjc8wL240yW",
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Age  Gender  Little interest in work  Feeling hopeless    \\\n",
              "45   18     0.0                        2                   3   \n",
              "38   15     1.0                        2                   0   \n",
              "44   18     0.0                        1                   1   \n",
              "3    16     0.0                        3                   1   \n",
              "53   20     0.0                        2                   3   \n",
              "66   20     1.0                        3                   1   \n",
              "8    19     0.0                        1                   0   \n",
              "15   13     0.0                        3                   2   \n",
              "20   14     0.0                        2                   2   \n",
              "29   14     1.0                        2                   2   \n",
              "7    13     0.0                        1                   0   \n",
              "41   19     0.0                        2                   0   \n",
              "28   14     0.0                        2                   3   \n",
              "42   19     1.0                        3                   1   \n",
              "56   14     0.0                        1                   0   \n",
              "9    20     1.0                        2                   3   \n",
              "10   19     0.0                        1                   1   \n",
              "32   19     1.0                        1                   1   \n",
              "24   19     0.0                        2                   2   \n",
              "12   20     0.0                        3                   3   \n",
              "36   14     1.0                        2                   0   \n",
              "4    19     0.0                        1                   1   \n",
              "52   19     1.0                        2                   2   \n",
              "57   15     1.0                        1                   0   \n",
              "61   14     1.0                        3                   0   \n",
              "34   20     1.0                        2                   1   \n",
              "47   19     0.0                        1                   1   \n",
              "1    19     1.0                        1                   1   \n",
              "25   16     0.0                        2                   3   \n",
              "11   22     1.0                        1                   3   \n",
              "50   14     1.0                        0                   2   \n",
              "35   20     1.0                        2                   0   \n",
              "0    16     0.0                        1                   2   \n",
              "23   14     1.0                        0                   0   \n",
              "30   14     0.0                        3                   0   \n",
              "46   14     1.0                        2                   3   \n",
              "2    15     1.0                        1                   1   \n",
              "27   19     0.0                        2                   3   \n",
              "59   19     1.0                        1                   1   \n",
              "17   14     1.0                        3                   0   \n",
              "51   19     0.0                        3                   2   \n",
              "16   20     0.0                        0                   3   \n",
              "58   20     1.0                        2                   0   \n",
              "21   19     0.0                        2                   1   \n",
              "49   19     0.0                        1                   1   \n",
              "64   20     0.0                        1                   1   \n",
              "\n",
              "    Feeling angry than usual  high energy  doing more risky things   \\\n",
              "45                         2            2                         0   \n",
              "38                         0            2                         3   \n",
              "44                         1            0                         0   \n",
              "3                          1            2                         1   \n",
              "53                         3            2                         3   \n",
              "66                         1            1                         1   \n",
              "8                          1            2                         2   \n",
              "15                         3            2                         0   \n",
              "20                         3            2                         3   \n",
              "29                         3            1                         2   \n",
              "7                          1            3                         3   \n",
              "41                         0            0                         0   \n",
              "28                         3            1                         2   \n",
              "42                         0            0                         1   \n",
              "56                         2            2                         3   \n",
              "9                          2            0                         0   \n",
              "10                         0            1                         0   \n",
              "32                         0            3                         1   \n",
              "24                         0            0                         1   \n",
              "12                         2            0                         1   \n",
              "36                         0            3                         0   \n",
              "4                          0            0                         3   \n",
              "52                         1            0                         1   \n",
              "57                         2            1                         0   \n",
              "61                         0            0                         0   \n",
              "34                         1            2                         3   \n",
              "47                         1            0                         1   \n",
              "1                          1            1                         1   \n",
              "25                         0            0                         0   \n",
              "11                         2            2                         2   \n",
              "50                         2            0                         0   \n",
              "35                         0            2                         3   \n",
              "0                          1            1                         2   \n",
              "23                         0            0                         2   \n",
              "30                         2            3                         3   \n",
              "46                         2            2                         0   \n",
              "2                          0            2                         0   \n",
              "27                         3            3                         3   \n",
              "59                         0            0                         0   \n",
              "17                         2            1                         1   \n",
              "51                         1            1                         0   \n",
              "16                         3            3                         3   \n",
              "58                         0            3                         2   \n",
              "21                         1            2                         2   \n",
              "49                         0            0                         1   \n",
              "64                         2            0                         0   \n",
              "\n",
              "    Feeling nervous  panic  Avoiding anxious situations    ...  diffallsleep  \\\n",
              "45                3      2                              3  ...             1   \n",
              "38                0      0                              1  ...             5   \n",
              "44                3      3                              2  ...             4   \n",
              "3                 1      0                              0  ...             3   \n",
              "53                3      3                              3  ...             3   \n",
              "66                2      2                              1  ...             4   \n",
              "8                 3      2                              1  ...             1   \n",
              "15                0      0                              1  ...             4   \n",
              "20                2      1                              1  ...             1   \n",
              "29                3      3                              2  ...             3   \n",
              "7                 3      3                              2  ...             1   \n",
              "41                1      0                              0  ...             1   \n",
              "28                2      1                              0  ...             1   \n",
              "42                1      1                              1  ...             1   \n",
              "56                3      2                              1  ...             4   \n",
              "9                 3      3                              3  ...             1   \n",
              "10                0      0                              3  ...             3   \n",
              "32                2      0                              1  ...             3   \n",
              "24                2      3                              3  ...             2   \n",
              "12                0      2                              1  ...             1   \n",
              "36                1      1                              1  ...             3   \n",
              "4                 2      0                              3  ...             4   \n",
              "52                1      0                              0  ...             4   \n",
              "57                1      2                              1  ...             2   \n",
              "61                0      0                              0  ...             1   \n",
              "34                2      1                              2  ...             3   \n",
              "47                0      0                              2  ...             1   \n",
              "1                 3      3                              2  ...             3   \n",
              "25                2      2                              3  ...             2   \n",
              "11                1      2                              2  ...             1   \n",
              "50                0      0                              0  ...             1   \n",
              "35                0      0                              0  ...             2   \n",
              "0                 1      0                              0  ...             2   \n",
              "23                2      2                              1  ...             1   \n",
              "30                3      3                              1  ...             4   \n",
              "46                0      1                              1  ...             1   \n",
              "2                 1      0                              3  ...             3   \n",
              "27                1      1                              3  ...             5   \n",
              "59                1      0                              0  ...             1   \n",
              "17                1      0                              1  ...             1   \n",
              "51                0      0                              0  ...             4   \n",
              "16                3      3                              3  ...             2   \n",
              "58                0      0                              1  ...             2   \n",
              "21                2      2                              2  ...             2   \n",
              "49                1      0                              0  ...             1   \n",
              "64                1      1                              2  ...             1   \n",
              "\n",
              "    sleep quality  Stomach pain  Back pain  joints pain  awful might happen  \\\n",
              "45              5             1          2            1                   3   \n",
              "38              4             0          0            1                   1   \n",
              "44              5             2          1            2                   3   \n",
              "3               3             0          0            0                   3   \n",
              "53              3             1          1            1                   4   \n",
              "66              3             0          0            1                   4   \n",
              "8               4             1          1            1                   2   \n",
              "15              2             1          0            1                   4   \n",
              "20              5             2          0            2                   3   \n",
              "29              1             1          2            1                   3   \n",
              "7               5             0          0            0                   1   \n",
              "41              5             1          1            0                   1   \n",
              "28              5             1          2            1                   5   \n",
              "42              4             1          0            0                   2   \n",
              "56              2             1          0            2                   1   \n",
              "9               2             0          1            1                   3   \n",
              "10              3             1          2            1                   3   \n",
              "32              5             1          2            0                   4   \n",
              "24              4             1          0            0                   3   \n",
              "12              5             1          0            2                   3   \n",
              "36              4             0          0            0                   1   \n",
              "4               3             0          0            1                   1   \n",
              "52              3             0          0            1                   3   \n",
              "57              4             0          0            1                   3   \n",
              "61              3             0          0            0                   1   \n",
              "34              3             1          0            1                   3   \n",
              "47              5             1          2            1                   4   \n",
              "1               4             0          0            0                   3   \n",
              "25              3             1          2            2                   3   \n",
              "11              4             0          0            1                   2   \n",
              "50              4             0          0            0                   3   \n",
              "35              5             0          2            1                   3   \n",
              "0               3             1          0            0                   3   \n",
              "23              4             0          0            0                   3   \n",
              "30              3             1          2            0                   5   \n",
              "46              5             0          0            0                   4   \n",
              "2               5             0          0            0                   3   \n",
              "27              2             0          0            1                   3   \n",
              "59              4             1          2            1                   3   \n",
              "17              5             1          0            0                   1   \n",
              "51              3             2          1            0                   3   \n",
              "16              4             1          0            2                   3   \n",
              "58              4             0          1            1                   3   \n",
              "21              3             1          1            1                   2   \n",
              "49              4             1          2            0                   3   \n",
              "64              5             1          1            0                   3   \n",
              "\n",
              "    worried  felt nervous  scared easily  worried when away from home  \n",
              "45        3             3              3                            2  \n",
              "38        1             2              3                            5  \n",
              "44        5             5              5                            5  \n",
              "3         3             3              1                            1  \n",
              "53        4             4              4                            4  \n",
              "66        3             3              3                            4  \n",
              "8         3             4              1                            3  \n",
              "15        4             3              4                            1  \n",
              "20        4             4              2                            4  \n",
              "29        5             4              5                            3  \n",
              "7         1             2              4                            4  \n",
              "41        2             2              4                            1  \n",
              "28        3             3              2                            2  \n",
              "42        2             3              3                            3  \n",
              "56        4             5              5                            4  \n",
              "9         3             4              5                            5  \n",
              "10        3             3              1                            3  \n",
              "32        3             2              2                            4  \n",
              "24        4             5              5                            2  \n",
              "12        3             3              4                            3  \n",
              "36        2             1              3                            2  \n",
              "4         2             2              4                            3  \n",
              "52        2             5              4                            3  \n",
              "57        3             3              4                            4  \n",
              "61        1             1              1                            4  \n",
              "34        3             2              3                            4  \n",
              "47        3             3              3                            3  \n",
              "1         4             3              4                            3  \n",
              "25        2             4              2                            5  \n",
              "11        3             3              3                            3  \n",
              "50        1             3              3                            1  \n",
              "35        1             1              2                            2  \n",
              "0         3             3              1                            1  \n",
              "23        1             3              3                            1  \n",
              "30        5             5              5                            4  \n",
              "46        2             2              4                            1  \n",
              "2         2             2              3                            4  \n",
              "27        5             3              2                            1  \n",
              "59        3             3              1                            5  \n",
              "17        1             1              2                            3  \n",
              "51        3             3              2                            1  \n",
              "16        4             3              5                            4  \n",
              "58        3             3              1                            2  \n",
              "21        3             3              3                            3  \n",
              "49        3             3              2                            3  \n",
              "64        4             3              3                            1  \n",
              "\n",
              "[46 rows x 46 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a722be55-cfea-4f76-9949-774567b18084\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Age</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Little interest in work</th>\n",
              "      <th>Feeling hopeless</th>\n",
              "      <th>Feeling angry than usual</th>\n",
              "      <th>high energy</th>\n",
              "      <th>doing more risky things</th>\n",
              "      <th>Feeling nervous</th>\n",
              "      <th>panic</th>\n",
              "      <th>Avoiding anxious situations</th>\n",
              "      <th>...</th>\n",
              "      <th>diffallsleep</th>\n",
              "      <th>sleep quality</th>\n",
              "      <th>Stomach pain</th>\n",
              "      <th>Back pain</th>\n",
              "      <th>joints pain</th>\n",
              "      <th>awful might happen</th>\n",
              "      <th>worried</th>\n",
              "      <th>felt nervous</th>\n",
              "      <th>scared easily</th>\n",
              "      <th>worried when away from home</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>15</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>20</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>13</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>20</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>15</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>20</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>16</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>22</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>20</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>16</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>14</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>15</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>20</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>19</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>20</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>46 rows × 46 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a722be55-cfea-4f76-9949-774567b18084')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a722be55-cfea-4f76-9949-774567b18084 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-a722be55-cfea-4f76-9949-774567b18084');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gnb = GaussianNB()\n",
        "gnb.fit(x_train,y_train)\n",
        "y_pred = gnb.predict(x_test)"
      ],
      "metadata": {
        "id": "T7r6pJ0ilhit"
      },
      "id": "T7r6pJ0ilhit",
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import metrics\n",
        "print(\"accuracy:\",metrics.accuracy_score(y_test,y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zei5PBgK6smh",
        "outputId": "56d4742b-b09a-46d8-9be2-603685dff267"
      },
      "id": "zei5PBgK6smh",
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy: 0.7142857142857143\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "91Tj4zOeaLSy"
      },
      "source": [
        "# rfc"
      ],
      "id": "91Tj4zOeaLSy"
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 92
        },
        "id": "F-2phewtaLSz",
        "outputId": "3b369f49-7341-4310-d35a-23877c9a4231"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ],
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "class_rf=RandomForestClassifier(random_state=13,n_jobs=-1,max_depth=3,n_estimators=70,oob_score=True)\n",
        "class_rf.fit(x,y)"
      ],
      "id": "F-2phewtaLSz"
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "oIkytXxIaLSz",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a4e8559e-c9da-4b05-a6fc-8d8a310df919"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([3, 2, 0, 3, 2, 2, 2, 3, 2, 1, 3, 0, 2, 2, 2, 3, 2, 3, 2, 2, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ],
      "source": [
        "ypred=class_rf.predict(x_test)\n",
        "ypred"
      ],
      "id": "oIkytXxIaLSz"
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "mVGo6QdUaLS0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 126
        },
        "outputId": "499b2d03-e1ad-432e-a5ca-dc3266187b43"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 168 ms, sys: 24.3 ms, total: 193 ms\n",
            "Wall time: 173 ms\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)"
            ],
            "text/html": [
              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ],
      "source": [
        "%%time\n",
        "class_rf.fit(x_train,y_train)"
      ],
      "id": "mVGo6QdUaLS0"
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "cXeo78ZEaLS1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "99946125-49ab-427d-8747-d40635287c98"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6739130434782609"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ],
      "source": [
        "class_rf.oob_score_"
      ],
      "id": "cXeo78ZEaLS1"
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "id": "wErqOOHJaLS2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 126
        },
        "outputId": "841404a3-40a7-4b51-bbda-caa7dafaf3f6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CPU times: user 171 ms, sys: 17.9 ms, total: 189 ms\n",
            "Wall time: 170 ms\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)"
            ],
            "text/html": [
              "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=3, n_estimators=70, n_jobs=-1, oob_score=True,\n",
              "                       random_state=13)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ],
      "source": [
        "%%time\n",
        "class_rf.fit(x_test,y_test)"
      ],
      "id": "wErqOOHJaLS2"
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "id": "wxTZU3YvaLS2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2ee110c5-4a98-48f5-f9dc-040177de2e9c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6190476190476191"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ],
      "source": [
        "class_rf.oob_score_"
      ],
      "id": "wxTZU3YvaLS2"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KPKKxJ8OaLS3"
      },
      "source": [
        "# DT"
      ],
      "id": "KPKKxJ8OaLS3"
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "_mjilxuwaLS3",
        "outputId": "10e272bb-10c5-4a39-e212-fcbe65ecd4d4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([3, 2, 3, 3, 2, 2, 2, 3, 2, 3, 3, 3, 2, 0, 2, 3, 2, 3, 2, 2, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ],
      "source": [
        "#decision tree classifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn import metrics\n",
        "dt=DecisionTreeClassifier(criterion=\"gini\",random_state=13)\n",
        "dt=dt.fit(x_train,y_train)\n",
        "y_pred=dt.predict(x_test)\n",
        "y_pred"
      ],
      "id": "_mjilxuwaLS3"
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "dcoZhGYEaLS4",
        "outputId": "62ead31d-ebcc-4075-8fe4-6eade42b36fb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy: 0.6666666666666666\n"
          ]
        }
      ],
      "source": [
        "print(\"accuracy:\",metrics.accuracy_score(y_test,y_pred))"
      ],
      "id": "dcoZhGYEaLS4"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qLAq4cdHaLS5"
      },
      "source": [
        "# Hyper Tuning"
      ],
      "id": "qLAq4cdHaLS5"
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "bYmF9griaLS5"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import RepeatedStratifiedKFold\n",
        "cv = RepeatedStratifiedKFold(n_splits=9, n_repeats=2, random_state=1)"
      ],
      "id": "bYmF9griaLS5"
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "id": "k0y2Sq2ZaLS6"
      },
      "outputs": [],
      "source": [
        "from scipy.stats import loguniform\n",
        "space=dict()\n",
        "space['min_impurity_decrease'] = [0.0,0.1,0.4]\n",
        "space['max_leaf_nodes'] = [2,3,4,5]\n",
        "space['max_depth'] =[4,5,6,8,10]\n",
        "space['random_state'] =[11,12,13]"
      ],
      "id": "k0y2Sq2ZaLS6"
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "id": "5FzfVfrXaLS7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b7a73fce-8778-4ab1-bbde-a4376f8b5694"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/model_selection/_search.py:305: UserWarning: The total space of parameters 180 is smaller than n_iter=500. Running 180 iterations. For exhaustive searches, use GridSearchCV.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/model_selection/_split.py:700: UserWarning: The least populated class in y has only 7 members, which is less than n_splits=9.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/model_selection/_split.py:700: UserWarning: The least populated class in y has only 7 members, which is less than n_splits=9.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Score: 0.6438492063492062\n",
            "Best Hyperparameters: {'random_state': 11, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': 2, 'max_depth': 4}\n"
          ]
        }
      ],
      "source": [
        "from sklearn.model_selection import RandomizedSearchCV\n",
        "search = RandomizedSearchCV(dt, space, n_iter=500, scoring='accuracy', n_jobs=-1, cv=cv, random_state=1,error_score='raise')\n",
        "result = search.fit(x, y)\n",
        "print('Best Score: %s' % result.best_score_)\n",
        "print('Best Hyperparameters: %s' % result.best_params_)"
      ],
      "id": "5FzfVfrXaLS7"
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "id": "0eJKmkEKaLS7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "outputId": "8b9b4f1b-495e-4400-baac-e90e0a32c2f3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(max_depth=4, max_leaf_nodes=2, random_state=11)"
            ],
            "text/html": [
              "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=4, max_leaf_nodes=2, random_state=11)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=4, max_leaf_nodes=2, random_state=11)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ],
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn import metrics\n",
        "cls = DecisionTreeClassifier(max_depth=4,max_leaf_nodes=2,min_impurity_decrease=0.0,random_state=11)\n",
        "model = cls.fit(x_train,y_train)\n",
        "model"
      ],
      "id": "0eJKmkEKaLS7"
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "cdcwFnKTaLS8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f8796e67-70d3-4466-f093-75152eba35e0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy : 0.6666666666666666\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.00      0.00      0.00         4\n",
            "           1       0.00      0.00      0.00         2\n",
            "           2       0.73      0.89      0.80         9\n",
            "           3       0.67      1.00      0.80         6\n",
            "\n",
            "    accuracy                           0.67        21\n",
            "   macro avg       0.35      0.47      0.40        21\n",
            "weighted avg       0.50      0.67      0.57        21\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import accuracy_score,confusion_matrix,classification_report\n",
        "ac=accuracy_score(y_test,y_pred)\n",
        "cr=classification_report(y_test,y_pred)\n",
        "print(\"Accuracy :\",ac)\n",
        "print(cr)"
      ],
      "id": "cdcwFnKTaLS8"
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "id": "qXObxfShaLS9"
      },
      "outputs": [],
      "source": [
        "from scipy.stats import loguniform\n",
        "spaces=dict()\n",
        "spaces['min_impurity_decrease'] = [0.0,0.1,0.2,0.4]\n",
        "spaces['max_leaf_nodes'] = [4,5,6,7]\n",
        "spaces['max_depth'] =[1,2,3,4]\n",
        "spaces['random_state']=[20,10,30]"
      ],
      "id": "qXObxfShaLS9"
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "id": "MCf2kQ8waLS9"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import GridSearchCV\n",
        "searchs = GridSearchCV(model, spaces, scoring='accuracy', n_jobs=-1, cv=cv,error_score='raise')"
      ],
      "id": "MCf2kQ8waLS9"
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "YdDYkVAXaLS-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7988d61c-1c18-4428-ac45-5e3beea4da4a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/model_selection/_split.py:700: UserWarning: The least populated class in y has only 7 members, which is less than n_splits=9.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/model_selection/_split.py:700: UserWarning: The least populated class in y has only 7 members, which is less than n_splits=9.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Score: 0.6438492063492062\n",
            "Best Hyperparameters: {'max_depth': 1, 'max_leaf_nodes': 4, 'min_impurity_decrease': 0.0, 'random_state': 20}\n"
          ]
        }
      ],
      "source": [
        "results = searchs.fit(x, y)\n",
        "print('Best Score: %s' % results.best_score_)\n",
        "print('Best Hyperparameters: %s' % results.best_params_)"
      ],
      "id": "YdDYkVAXaLS-"
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "id": "9xNaSNoMaLS-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "outputId": "515d589d-523c-4d21-db6f-ef1683e425cc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(max_depth=1, max_leaf_nodes=4, random_state=20)"
            ],
            "text/html": [
              "<style>#sk-container-id-5 {color: black;background-color: white;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=1, max_leaf_nodes=4, random_state=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=1, max_leaf_nodes=4, random_state=20)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ],
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn import metrics\n",
        "cls = DecisionTreeClassifier(max_depth=1,max_leaf_nodes=4,min_impurity_decrease=0.0,random_state=20)\n",
        "model = cls.fit(x_train,y_train)\n",
        "model"
      ],
      "id": "9xNaSNoMaLS-"
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "id": "EA5oP8-PaLS_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a014d089-12ac-44e8-f767-a60e77fd8753"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy : 0.6666666666666666\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.00      0.00      0.00         4\n",
            "           1       0.00      0.00      0.00         2\n",
            "           2       0.73      0.89      0.80         9\n",
            "           3       0.67      1.00      0.80         6\n",
            "\n",
            "    accuracy                           0.67        21\n",
            "   macro avg       0.35      0.47      0.40        21\n",
            "weighted avg       0.50      0.67      0.57        21\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ],
      "source": [
        "from sklearn.metrics import accuracy_score,confusion_matrix,classification_report\n",
        "ac=accuracy_score(y_test,y_pred)\n",
        "cr=classification_report(y_test,y_pred)\n",
        "print(\"Accuracy :\",ac)\n",
        "print(cr)"
      ],
      "id": "EA5oP8-PaLS_"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gLsd6p1TaLTA"
      },
      "outputs": [],
      "source": [
        "pickle.dump(le,open(\"labelencod.pkl\",\"wb\"))\n",
        "pickle.dump(dt,open(\"dectree.pkl\",\"wb\"))"
      ],
      "id": "gLsd6p1TaLTA"
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.5"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}