Telco_Churn.ipynb

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      "source": [
        "# <center>Telco Data - Churn Prediction</center>\n",
        "---"
      ]
    },
    {
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      "source": [
        "# 1. Load data"
      ]
    },
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          "data": {
            "text/plain": [
              "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
              "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
              "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
              "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
              "3  7795-CFOCW    Male              0      No         No      45           No   \n",
              "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
              "\n",
              "      MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
              "0  No phone service             DSL             No          Yes   \n",
              "1                No             DSL            Yes           No   \n",
              "2                No             DSL            Yes          Yes   \n",
              "3  No phone service             DSL            Yes           No   \n",
              "4                No     Fiber optic             No           No   \n",
              "\n",
              "  DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
              "0               No          No          No              No  Month-to-month   \n",
              "1              Yes          No          No              No        One year   \n",
              "2               No          No          No              No  Month-to-month   \n",
              "3              Yes         Yes          No              No        One year   \n",
              "4               No          No          No              No  Month-to-month   \n",
              "\n",
              "  PaperlessBilling              PaymentMethod  MonthlyCharges  TotalCharges  \\\n",
              "0              Yes           Electronic check           29.85         29.85   \n",
              "1               No               Mailed check           56.95       1889.50   \n",
              "2              Yes               Mailed check           53.85        108.15   \n",
              "3               No  Bank transfer (automatic)           42.30       1840.75   \n",
              "4              Yes           Electronic check           70.70        151.65   \n",
              "\n",
              "  Churn  \n",
              "0    No  \n",
              "1    No  \n",
              "2   Yes  \n",
              "3    No  \n",
              "4   Yes  "
            ],
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              "      <th></th>\n",
              "      <th>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
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              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
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              "      <th>Churn</th>\n",
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              "      <th>0</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>Female</td>\n",
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              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>34</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.50</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>45</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9237-HQITU</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>Yes</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "telcoData"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "import pandas as pd\n",
        "pd.set_option('display.max_columns',500)\n",
        "telcoData = pd.read_csv('/content/drive/MyDrive/AIS_DG/Telco-Churn.csv', na_values=' ')\n",
        "telcoData.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aV_KmncXD7va"
      },
      "source": [
        "# 2. Clean data"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "คลีน Data ที่เป็น Null ทิ้งโดย\n",
        "- ตรวจว่ามี Null หรือไม่\n",
        "- เติม 0 แทนที่\n",
        "- เช็คอีกรอบ"
      ],
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        "id": "ixmEfRDmLeo7"
      }
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        },
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            "text/plain": [
              "customerID          False\n",
              "gender              False\n",
              "SeniorCitizen       False\n",
              "Partner             False\n",
              "Dependents          False\n",
              "tenure              False\n",
              "PhoneService        False\n",
              "MultipleLines       False\n",
              "InternetService     False\n",
              "OnlineSecurity      False\n",
              "OnlineBackup        False\n",
              "DeviceProtection    False\n",
              "TechSupport         False\n",
              "StreamingTV         False\n",
              "StreamingMovies     False\n",
              "Contract            False\n",
              "PaperlessBilling    False\n",
              "PaymentMethod       False\n",
              "MonthlyCharges      False\n",
              "TotalCharges         True\n",
              "Churn               False\n",
              "dtype: bool"
            ],
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              "      <th>PhoneService</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MultipleLines</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InternetService</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineBackup</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DeviceProtection</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TechSupport</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingTV</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingMovies</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contract</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaymentMethod</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalCharges</th>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Churn</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> bool</label>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "telcoData.isnull().any()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "telcoData['TotalCharges'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hxiji1rdxIzo",
        "outputId": "b73dc8a0-9ea7-4a32-db07-c57f1c6303d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([  29.85, 1889.5 ,  108.15, ...,  346.45,  306.6 , 6844.5 ])"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "TotalCharges มี Null เพราะเป็นข้อมูลกรณีของลูกค้าใหม่ ยังไม่ได้จ่ายไร"
      ],
      "metadata": {
        "id": "PfP9jXg2JSYz"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JBezFBnfD7vb"
      },
      "outputs": [],
      "source": [
        "telcoData.fillna(0, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 742
        },
        "id": "oERRj4XBD7vb",
        "outputId": "e85b539c-56d7-42a4-8d61-24da8f1f3d05"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "customerID          False\n",
              "gender              False\n",
              "SeniorCitizen       False\n",
              "Partner             False\n",
              "Dependents          False\n",
              "tenure              False\n",
              "PhoneService        False\n",
              "MultipleLines       False\n",
              "InternetService     False\n",
              "OnlineSecurity      False\n",
              "OnlineBackup        False\n",
              "DeviceProtection    False\n",
              "TechSupport         False\n",
              "StreamingTV         False\n",
              "StreamingMovies     False\n",
              "Contract            False\n",
              "PaperlessBilling    False\n",
              "PaymentMethod       False\n",
              "MonthlyCharges      False\n",
              "TotalCharges        False\n",
              "Churn               False\n",
              "dtype: bool"
            ],
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th>customerID</th>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>gender</th>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>Partner</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dependents</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tenure</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PhoneService</th>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>MultipleLines</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InternetService</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OnlineBackup</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DeviceProtection</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TechSupport</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingTV</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StreamingMovies</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Contract</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PaymentMethod</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalCharges</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Churn</th>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> bool</label>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "telcoData.isnull().any()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "เรียบร้อย"
      ],
      "metadata": {
        "id": "Q8xVq-dFJiv5"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "71kPi1YUD7vb"
      },
      "source": [
        "# 3. Select relevant columns"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "เตรียมเปลี่ยน Category เป็น Binary (พวก Female Yes No เป็น 0 1 ประมาณนั้น)"
      ],
      "metadata": {
        "id": "987HmNYSJm_c"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 344
        },
        "id": "FvAehhJAD7vb",
        "outputId": "92818180-184f-4fd7-93b0-de793745f764"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
              "customerID                                                                  \n",
              "7590-VHVEG  Female              0     Yes         No       1           No   \n",
              "5575-GNVDE    Male              0      No         No      34          Yes   \n",
              "3668-QPYBK    Male              0      No         No       2          Yes   \n",
              "7795-CFOCW    Male              0      No         No      45           No   \n",
              "9237-HQITU  Female              0      No         No       2          Yes   \n",
              "\n",
              "               MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
              "customerID                                                                 \n",
              "7590-VHVEG  No phone service             DSL             No          Yes   \n",
              "5575-GNVDE                No             DSL            Yes           No   \n",
              "3668-QPYBK                No             DSL            Yes          Yes   \n",
              "7795-CFOCW  No phone service             DSL            Yes           No   \n",
              "9237-HQITU                No     Fiber optic             No           No   \n",
              "\n",
              "           DeviceProtection TechSupport StreamingTV StreamingMovies  \\\n",
              "customerID                                                            \n",
              "7590-VHVEG               No          No          No              No   \n",
              "5575-GNVDE              Yes          No          No              No   \n",
              "3668-QPYBK               No          No          No              No   \n",
              "7795-CFOCW              Yes         Yes          No              No   \n",
              "9237-HQITU               No          No          No              No   \n",
              "\n",
              "                  Contract PaperlessBilling              PaymentMethod  \\\n",
              "customerID                                                               \n",
              "7590-VHVEG  Month-to-month              Yes           Electronic check   \n",
              "5575-GNVDE        One year               No               Mailed check   \n",
              "3668-QPYBK  Month-to-month              Yes               Mailed check   \n",
              "7795-CFOCW        One year               No  Bank transfer (automatic)   \n",
              "9237-HQITU  Month-to-month              Yes           Electronic check   \n",
              "\n",
              "            MonthlyCharges  TotalCharges Churn  \n",
              "customerID                                      \n",
              "7590-VHVEG           29.85         29.85    No  \n",
              "5575-GNVDE           56.95       1889.50    No  \n",
              "3668-QPYBK           53.85        108.15   Yes  \n",
              "7795-CFOCW           42.30       1840.75    No  \n",
              "9237-HQITU           70.70        151.65   Yes  "
            ],
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-999d4bf1-fc32-4f4f-8d33-e836385da430 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "telcoData",
              "summary": "{\n  \"name\": \"telcoData\",\n  \"rows\": 7043,\n  \"fields\": [\n    {\n      \"column\": \"customerID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7043,\n        \"samples\": [\n          \"1024-GUALD\",\n          \"0484-JPBRU\",\n          \"3620-EHIMZ\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"gender\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Male\",\n          \"Female\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SeniorCitizen\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Partner\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Dependents\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Yes\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tenure\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24,\n        \"min\": 0,\n        \"max\": 72,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          8,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PhoneService\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Yes\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MultipleLines\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No phone service\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"InternetService\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"DSL\",\n          \"Fiber optic\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"OnlineSecurity\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"OnlineBackup\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Yes\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DeviceProtection\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TechSupport\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"StreamingTV\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"StreamingMovies\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Contract\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Month-to-month\",\n          \"One year\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PaperlessBilling\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PaymentMethod\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Mailed check\",\n          \"Credit card (automatic)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MonthlyCharges\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 30.09004709767854,\n        \"min\": 18.25,\n        \"max\": 118.75,\n        \"num_unique_values\": 1585,\n        \"samples\": [\n          48.85,\n          20.05\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TotalCharges\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2266.7944696890195,\n        \"min\": 0.0,\n        \"max\": 8684.8,\n        \"num_unique_values\": 6531,\n        \"samples\": [\n          4600.7,\n          20.35\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Churn\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Yes\",\n          \"No\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "telcoData.set_index('customerID', inplace=True)\n",
        "telcoData.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6ZJmY-idD7vc"
      },
      "source": [
        "# Data preparation\n",
        "1. Transform categorical variable into multiple binary columns (get_dummies, drop_first)\n",
        "2. Concatenate with numerical data"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "get_dummies ก็คือไว้แปลงตัวที่เลือกเป็น 0 1 แล้วมันจะแยกเป็น Yes No Column  \n",
        " อันไหนมี 2 ค่าก็จะออกมาเป็น 2 คอลัมน์"
      ],
      "metadata": {
        "id": "1LrxpUZdYfED"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zpjhBm95D7vc"
      },
      "outputs": [],
      "source": [
        "#เลือกเอาตัวที่เป็น Object หรือก็คือ Catagory มา\n",
        "telcoData_copy = telcoData.select_dtypes('object')\n",
        "#แปลง มันมี Yes No เลือกซักตัวมาพอละ ใช้ drop_first เอา\n",
        "telcoData_copy = pd.get_dummies(telcoData_copy, drop_first=True)\n",
        "#ต่อกับส่วนที่มีแต่เลข ต่อกันจากคอลัมน์ axis = 1\n",
        "telcoData_num = telcoData.select_dtypes('number')\n",
        "telcoData_complete = pd.concat([telcoData_copy, telcoData_num], axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "telcoData_complete.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "JsPmFuvSxr32",
        "outputId": "45c0ab48-1463-46d4-895e-3e5db0c3a574"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            gender_Male  Partner_Yes  Dependents_Yes  PhoneService_Yes  \\\n",
              "customerID                                                               \n",
              "7590-VHVEG        False         True           False             False   \n",
              "5575-GNVDE         True        False           False              True   \n",
              "3668-QPYBK         True        False           False              True   \n",
              "7795-CFOCW         True        False           False             False   \n",
              "9237-HQITU        False        False           False              True   \n",
              "\n",
              "            MultipleLines_No phone service  MultipleLines_Yes  \\\n",
              "customerID                                                      \n",
              "7590-VHVEG                            True              False   \n",
              "5575-GNVDE                           False              False   \n",
              "3668-QPYBK                           False              False   \n",
              "7795-CFOCW                            True              False   \n",
              "9237-HQITU                           False              False   \n",
              "\n",
              "            InternetService_Fiber optic  InternetService_No  \\\n",
              "customerID                                                    \n",
              "7590-VHVEG                        False               False   \n",
              "5575-GNVDE                        False               False   \n",
              "3668-QPYBK                        False               False   \n",
              "7795-CFOCW                        False               False   \n",
              "9237-HQITU                         True               False   \n",
              "\n",
              "            OnlineSecurity_No internet service  OnlineSecurity_Yes  \\\n",
              "customerID                                                           \n",
              "7590-VHVEG                               False               False   \n",
              "5575-GNVDE                               False                True   \n",
              "3668-QPYBK                               False                True   \n",
              "7795-CFOCW                               False                True   \n",
              "9237-HQITU                               False               False   \n",
              "\n",
              "            OnlineBackup_No internet service  OnlineBackup_Yes  \\\n",
              "customerID                                                       \n",
              "7590-VHVEG                             False              True   \n",
              "5575-GNVDE                             False             False   \n",
              "3668-QPYBK                             False              True   \n",
              "7795-CFOCW                             False             False   \n",
              "9237-HQITU                             False             False   \n",
              "\n",
              "            DeviceProtection_No internet service  DeviceProtection_Yes  \\\n",
              "customerID                                                               \n",
              "7590-VHVEG                                 False                 False   \n",
              "5575-GNVDE                                 False                  True   \n",
              "3668-QPYBK                                 False                 False   \n",
              "7795-CFOCW                                 False                  True   \n",
              "9237-HQITU                                 False                 False   \n",
              "\n",
              "            TechSupport_No internet service  TechSupport_Yes  \\\n",
              "customerID                                                     \n",
              "7590-VHVEG                            False            False   \n",
              "5575-GNVDE                            False            False   \n",
              "3668-QPYBK                            False            False   \n",
              "7795-CFOCW                            False             True   \n",
              "9237-HQITU                            False            False   \n",
              "\n",
              "            StreamingTV_No internet service  StreamingTV_Yes  \\\n",
              "customerID                                                     \n",
              "7590-VHVEG                            False            False   \n",
              "5575-GNVDE                            False            False   \n",
              "3668-QPYBK                            False            False   \n",
              "7795-CFOCW                            False            False   \n",
              "9237-HQITU                            False            False   \n",
              "\n",
              "            StreamingMovies_No internet service  StreamingMovies_Yes  \\\n",
              "customerID                                                             \n",
              "7590-VHVEG                                False                False   \n",
              "5575-GNVDE                                False                False   \n",
              "3668-QPYBK                                False                False   \n",
              "7795-CFOCW                                False                False   \n",
              "9237-HQITU                                False                False   \n",
              "\n",
              "            Contract_One year  Contract_Two year  PaperlessBilling_Yes  \\\n",
              "customerID                                                               \n",
              "7590-VHVEG              False              False                  True   \n",
              "5575-GNVDE               True              False                 False   \n",
              "3668-QPYBK              False              False                  True   \n",
              "7795-CFOCW               True              False                 False   \n",
              "9237-HQITU              False              False                  True   \n",
              "\n",
              "            PaymentMethod_Credit card (automatic)  \\\n",
              "customerID                                          \n",
              "7590-VHVEG                                  False   \n",
              "5575-GNVDE                                  False   \n",
              "3668-QPYBK                                  False   \n",
              "7795-CFOCW                                  False   \n",
              "9237-HQITU                                  False   \n",
              "\n",
              "            PaymentMethod_Electronic check  PaymentMethod_Mailed check  \\\n",
              "customerID                                                               \n",
              "7590-VHVEG                            True                       False   \n",
              "5575-GNVDE                           False                        True   \n",
              "3668-QPYBK                           False                        True   \n",
              "7795-CFOCW                           False                       False   \n",
              "9237-HQITU                            True                       False   \n",
              "\n",
              "            Churn_Yes  SeniorCitizen  tenure  MonthlyCharges  TotalCharges  \n",
              "customerID                                                                  \n",
              "7590-VHVEG      False              0       1           29.85         29.85  \n",
              "5575-GNVDE      False              0      34           56.95       1889.50  \n",
              "3668-QPYBK       True              0       2           53.85        108.15  \n",
              "7795-CFOCW      False              0      45           42.30       1840.75  \n",
              "9237-HQITU       True              0       2           70.70        151.65  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b91f4b76-1853-4ddd-9442-fe69a4df2876\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>gender_Male</th>\n",
              "      <th>Partner_Yes</th>\n",
              "      <th>Dependents_Yes</th>\n",
              "      <th>PhoneService_Yes</th>\n",
              "      <th>MultipleLines_No phone service</th>\n",
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              "      <th>OnlineBackup_No internet service</th>\n",
              "      <th>OnlineBackup_Yes</th>\n",
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              "      <th>DeviceProtection_Yes</th>\n",
              "      <th>TechSupport_No internet service</th>\n",
              "      <th>TechSupport_Yes</th>\n",
              "      <th>StreamingTV_No internet service</th>\n",
              "      <th>StreamingTV_Yes</th>\n",
              "      <th>StreamingMovies_No internet service</th>\n",
              "      <th>StreamingMovies_Yes</th>\n",
              "      <th>Contract_One year</th>\n",
              "      <th>Contract_Two year</th>\n",
              "      <th>PaperlessBilling_Yes</th>\n",
              "      <th>PaymentMethod_Credit card (automatic)</th>\n",
              "      <th>PaymentMethod_Electronic check</th>\n",
              "      <th>PaymentMethod_Mailed check</th>\n",
              "      <th>Churn_Yes</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>tenure</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7590-VHVEG</th>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5575-GNVDE</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>34</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3668-QPYBK</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
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              "    <tr>\n",
              "      <th>7795-CFOCW</th>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0</td>\n",
              "      <td>45</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9237-HQITU</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
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              "\n",
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              "\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "telcoData_complete"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sG5z_khAD7vc"
      },
      "source": [
        "# Activity: Sample your data\n",
        "1. Sample your data into 2 sets: 70%, 30%\n",
        "2. Check distribution of churn variables. See if they are still similar to the original distribution"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZWFRHB6pD7vc"
      },
      "outputs": [],
      "source": [
        "# Work here\n",
        "#Train 70 Test 30 แบ่งเก็บลง train & test\n",
        "from sklearn.model_selection import train_test_split\n",
        "telcoData_train, telcoData_test = train_test_split(telcoData_complete, test_size=0.3)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#ดูการกระจาย หรือก็คือดูว่าอัตรา Churn Train กับ Test พอกันมั้ย\n",
        "#ไม่พอกันควรกลับไปพิจารณาใหม่ (Model แย่)\n",
        "pd.crosstab(telcoData_train['Churn_Yes'], columns = 'p', normalize = True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "_ucoHHFhrt1r",
        "outputId": "735b1bf2-94ef-4c51-9a50-6b369985aa10"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "col_0             p\n",
              "Churn_Yes          \n",
              "False      0.735903\n",
              "True       0.264097"
            ],
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-0515a684-4d36-4c68-b228-a1bc44d78189\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0515a684-4d36-4c68-b228-a1bc44d78189')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0515a684-4d36-4c68-b228-a1bc44d78189 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"Churn_Yes\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.333616708527365,\n        \"min\": 0.2640973630831643,\n        \"max\": 0.7359026369168357,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.2640973630831643,\n          0.7359026369168357\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.crosstab(telcoData_test['Churn_Yes'], columns = 'p', normalize = True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "ie6y-RTxCJER",
        "outputId": "80bdfc76-b641-438c-e3b0-6df63dd78431"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "col_0             p\n",
              "Churn_Yes          \n",
              "False      0.731661\n",
              "True       0.268339"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2e77baae-1ea0-41a9-88c5-bbfcae37cb43\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>col_0</th>\n",
              "      <th>p</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Churn_Yes</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>False</th>\n",
              "      <td>0.731661</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>True</th>\n",
              "      <td>0.268339</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "      display:flex;\n",
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              "\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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",
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              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-2e77baae-1ea0-41a9-88c5-bbfcae37cb43 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-2e77baae-1ea0-41a9-88c5-bbfcae37cb43');\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",
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              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e70224c8-2c7d-42d5-8832-b80c2e446448 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"Churn_Yes\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3276183335454946,\n        \"min\": 0.26833885470894464,\n        \"max\": 0.7316611452910554,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.26833885470894464,\n          0.7316611452910554\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ว้าวมันใกล้เคียง แสดงว่าเวิร์คแหละ Trust me bro"
      ],
      "metadata": {
        "id": "VTucQtuQCVZ-"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ddgYLmprD7vc"
      },
      "source": [
        "# 4. Train an Ensemble tree model"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "สร้าง Tree เปล่าๆ? ก็ Decision Tree มั้ง คิดว่า"
      ],
      "metadata": {
        "id": "ecT19PGxCfss"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AC6Zas_vD7vd"
      },
      "outputs": [],
      "source": [
        "from sklearn.ensemble import RandomForestClassifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "CuDwjceYD7vd",
        "outputId": "de71956c-84e8-400a-a59e-3b7b9556fc1c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_depth=4, min_samples_leaf=10)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: #000;\n",
              "  --sklearn-color-text-muted: #666;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: flex;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "  align-items: start;\n",
              "  justify-content: space-between;\n",
              "  gap: 0.5em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
              "  font-size: 0.6rem;\n",
              "  font-weight: lighter;\n",
              "  color: var(--sklearn-color-text-muted);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 0.5em;\n",
              "  text-align: center;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(max_depth=4, min_samples_leaf=10)</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 fitted 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 fitted sk-toggleable__label-arrow\"><div><div>RandomForestClassifier</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.ensemble.RandomForestClassifier.html\">?<span>Documentation for RandomForestClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestClassifier(max_depth=4, min_samples_leaf=10)</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "tree = RandomForestClassifier(min_samples_leaf=10, max_depth=4)\n",
        "tree.fit(telcoData_train.drop(columns='Churn_Yes'),\n",
        "         telcoData_train['Churn_Yes'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BbnkHzITD7vd"
      },
      "source": [
        "# 6. Variable importance"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ดูว่าตัวแปรสำคัญต่อการ Churn ขนาดไหน น่าจะเป็นงั้น สำคัญมากน่าจะโผล่ Decision Tree บ่อยๆ คิดว่า"
      ],
      "metadata": {
        "id": "SdzDeFbEDrTr"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QVnqjRvgD7vd",
        "outputId": "71b1f4cc-ed77-4323-c7e6-57869aedbdb9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['gender_Male', 'Partner_Yes', 'Dependents_Yes', 'PhoneService_Yes',\n",
              "       'MultipleLines_No phone service', 'MultipleLines_Yes',\n",
              "       'InternetService_Fiber optic', 'InternetService_No',\n",
              "       'OnlineSecurity_No internet service', 'OnlineSecurity_Yes',\n",
              "       'OnlineBackup_No internet service', 'OnlineBackup_Yes',\n",
              "       'DeviceProtection_No internet service', 'DeviceProtection_Yes',\n",
              "       'TechSupport_No internet service', 'TechSupport_Yes',\n",
              "       'StreamingTV_No internet service', 'StreamingTV_Yes',\n",
              "       'StreamingMovies_No internet service', 'StreamingMovies_Yes',\n",
              "       'Contract_One year', 'Contract_Two year', 'PaperlessBilling_Yes',\n",
              "       'PaymentMethod_Credit card (automatic)',\n",
              "       'PaymentMethod_Electronic check', 'PaymentMethod_Mailed check',\n",
              "       'Churn_Yes', 'SeniorCitizen', 'tenure', 'MonthlyCharges'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "source": [
        "telcoData_train.columns[:-1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JRCFkiCuD7ve",
        "outputId": "8e82f145-e1e3-4a52-f5af-602f9d0e8f2b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.00037129, 0.00394459, 0.00611145, 0.00129901, 0.00116813,\n",
              "       0.00351712, 0.11162355, 0.02075721, 0.01560379, 0.03979346,\n",
              "       0.0162694 , 0.00972458, 0.02162692, 0.00426949, 0.03411758,\n",
              "       0.03261402, 0.02042043, 0.00117532, 0.01940291, 0.00090246,\n",
              "       0.02850262, 0.07874583, 0.00878991, 0.00406882, 0.13784118,\n",
              "       0.00101135, 0.00222178, 0.20691449, 0.05610947, 0.11108182])"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "tree.feature_importances_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 990
        },
        "id": "HxDrYJtBD7ve",
        "outputId": "40e71303-ec6a-4b42-f4ef-3e22db5a2c35"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                  Feature     Value\n",
              "27                          SeniorCitizen  0.206914\n",
              "24         PaymentMethod_Electronic check  0.137841\n",
              "6             InternetService_Fiber optic  0.111624\n",
              "29                         MonthlyCharges  0.111082\n",
              "21                      Contract_Two year  0.078746\n",
              "28                                 tenure  0.056109\n",
              "9                      OnlineSecurity_Yes  0.039793\n",
              "14        TechSupport_No internet service  0.034118\n",
              "15                        TechSupport_Yes  0.032614\n",
              "20                      Contract_One year  0.028503\n",
              "12   DeviceProtection_No internet service  0.021627\n",
              "7                      InternetService_No  0.020757\n",
              "16        StreamingTV_No internet service  0.020420\n",
              "18    StreamingMovies_No internet service  0.019403\n",
              "10       OnlineBackup_No internet service  0.016269\n",
              "8      OnlineSecurity_No internet service  0.015604\n",
              "11                       OnlineBackup_Yes  0.009725\n",
              "22                   PaperlessBilling_Yes  0.008790\n",
              "2                          Dependents_Yes  0.006111\n",
              "13                   DeviceProtection_Yes  0.004269\n",
              "23  PaymentMethod_Credit card (automatic)  0.004069\n",
              "1                             Partner_Yes  0.003945\n",
              "5                       MultipleLines_Yes  0.003517\n",
              "26                              Churn_Yes  0.002222\n",
              "3                        PhoneService_Yes  0.001299\n",
              "17                        StreamingTV_Yes  0.001175\n",
              "4          MultipleLines_No phone service  0.001168\n",
              "25             PaymentMethod_Mailed check  0.001011\n",
              "19                    StreamingMovies_Yes  0.000902\n",
              "0                             gender_Male  0.000371"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-534b9541-81b7-40bf-baa5-5b8fe71c2e5b\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Feature</th>\n",
              "      <th>Value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>SeniorCitizen</td>\n",
              "      <td>0.206914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>PaymentMethod_Electronic check</td>\n",
              "      <td>0.137841</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>InternetService_Fiber optic</td>\n",
              "      <td>0.111624</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>MonthlyCharges</td>\n",
              "      <td>0.111082</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Contract_Two year</td>\n",
              "      <td>0.078746</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>tenure</td>\n",
              "      <td>0.056109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>OnlineSecurity_Yes</td>\n",
              "      <td>0.039793</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>TechSupport_No internet service</td>\n",
              "      <td>0.034118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>TechSupport_Yes</td>\n",
              "      <td>0.032614</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Contract_One year</td>\n",
              "      <td>0.028503</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>DeviceProtection_No internet service</td>\n",
              "      <td>0.021627</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>InternetService_No</td>\n",
              "      <td>0.020757</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>StreamingTV_No internet service</td>\n",
              "      <td>0.020420</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>StreamingMovies_No internet service</td>\n",
              "      <td>0.019403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>OnlineBackup_No internet service</td>\n",
              "      <td>0.016269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>OnlineSecurity_No internet service</td>\n",
              "      <td>0.015604</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>OnlineBackup_Yes</td>\n",
              "      <td>0.009725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>PaperlessBilling_Yes</td>\n",
              "      <td>0.008790</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Dependents_Yes</td>\n",
              "      <td>0.006111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>DeviceProtection_Yes</td>\n",
              "      <td>0.004269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>PaymentMethod_Credit card (automatic)</td>\n",
              "      <td>0.004069</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Partner_Yes</td>\n",
              "      <td>0.003945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>MultipleLines_Yes</td>\n",
              "      <td>0.003517</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Churn_Yes</td>\n",
              "      <td>0.002222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PhoneService_Yes</td>\n",
              "      <td>0.001299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>StreamingTV_Yes</td>\n",
              "      <td>0.001175</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MultipleLines_No phone service</td>\n",
              "      <td>0.001168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>PaymentMethod_Mailed check</td>\n",
              "      <td>0.001011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>StreamingMovies_Yes</td>\n",
              "      <td>0.000902</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>gender_Male</td>\n",
              "      <td>0.000371</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
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              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-534b9541-81b7-40bf-baa5-5b8fe71c2e5b 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-534b9541-81b7-40bf-baa5-5b8fe71c2e5b');\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",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
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              "      border-top-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
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              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ed6e4c7e-c7ae-445e-af35-74ee22d822bb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"  \",\n  \"rows\": 30,\n  \"fields\": [\n    {\n      \"column\": \"Feature\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"PaymentMethod_Mailed check\",\n          \"OnlineSecurity_No internet service\",\n          \"Churn_Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Value\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04903752781193394,\n        \"min\": 0.0003712893328243071,\n        \"max\": 0.20691449258298128,\n        \"num_unique_values\": 30,\n        \"samples\": [\n          0.0010113475961600756,\n          0.015603788217240587,\n          0.002221783384732098\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "pd.DataFrame(dict(Feature=telcoData_train.columns[:-1],\n",
        "                  Value=tree.feature_importances_))\\\n",
        "  .sort_values(by='Value', ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9-sSMdF7D7ve"
      },
      "source": [
        "# 7. Prediction"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ทำนายจาก test ใช้ Tree Predict"
      ],
      "metadata": {
        "id": "2eOp1tbNyfni"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gu9_P4bMD7ve",
        "outputId": "2e235056-9d79-48f8-8774-db8051634f75"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([False, False, False, ..., False, False, False])"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "tree.predict(telcoData_test.drop(columns='Churn_Yes'))\n",
        "# threshold prob = 0.5\n",
        "# max score"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "อันนี้ดูความน่าจะเป็นแต่ละตัว"
      ],
      "metadata": {
        "id": "1HzsprLTynni"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4r3ZXRpwD7ve",
        "outputId": "bb38c59c-c36e-4a91-d6a1-6754cf64c4c5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.89213832, 0.10786168],\n",
              "       [0.72125404, 0.27874596],\n",
              "       [0.96565018, 0.03434982],\n",
              "       ...,\n",
              "       [0.84321307, 0.15678693],\n",
              "       [0.84373747, 0.15626253],\n",
              "       [0.6379221 , 0.3620779 ]])"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "tree.predict_proba(telcoData_test.drop(columns='Churn_Yes'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ltup6eHcD7ve"
      },
      "source": [
        "# 8. Classification report"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "อันนี้เอาไว้วัดผล"
      ],
      "metadata": {
        "id": "kN6zelSZzn0q"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tc3fnBhRD7ve"
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import classification_report"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B05U2e_lD7ve",
        "outputId": "d18249df-a59f-49da-8f63-5c3fd03674be"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "       False       0.81      0.95      0.87      1546\n",
            "        True       0.73      0.38      0.50       567\n",
            "\n",
            "    accuracy                           0.80      2113\n",
            "   macro avg       0.77      0.66      0.68      2113\n",
            "weighted avg       0.78      0.80      0.77      2113\n",
            "\n"
          ]
        }
      ],
      "source": [
        "res = tree.predict(telcoData_test.drop(columns='Churn_Yes'))\n",
        "print(classification_report(y_true=telcoData_test['Churn_Yes'].values, y_pred=res))"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "สนใจ Class True (1) พอ ก็คือสนใจทำนายว่าจะ Churn ชิ่งหนี"
      ],
      "metadata": {
        "id": "nXjS5TqI3NDY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import RocCurveDisplay, roc_curve, auc\n",
        "\n",
        "y_res = tree.predict_proba(telcoData_test.drop(columns='Churn_Yes'))\n",
        "fpr, tpr, thresholds = roc_curve(telcoData_test['Churn_Yes'], y_res[:,1])\n",
        "roc_auc = auc(fpr, tpr)\n",
        "display = RocCurveDisplay(fpr=fpr, tpr=tpr, roc_auc=roc_auc,\n",
        "                                  estimator_name='Random Forest')\n",
        "display.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "ldgkCJns00RF",
        "outputId": "81d16d90-7d0f-43ed-af3b-bc915ec0c899"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x7e7f6ae7c050>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ทำเป็น PDF"
      ],
      "metadata": {
        "id": "XR69-FcDYP1N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EwGGAtguYZqm",
        "outputId": "c9d534fe-34b3-4ffd-bc8e-ade6ff8f7c12"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!jupyter nbconvert --to html /content/drive/MyDrive/Colab_Notebooks/Lecture_8_ML_Classification.ipynb"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HATGY8H9YXr4",
        "outputId": "6e1ab608-ec60-40ba-e3e7-5ff07ef01724"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[NbConvertApp] Converting notebook /content/drive/MyDrive/Colab_Notebooks/Lecture_8_ML_Classification.ipynb to html\n",
            "[NbConvertApp] Writing 1532132 bytes to /content/drive/MyDrive/Colab_Notebooks/Lecture_8_ML_Classification.html\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.13"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}