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  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import *\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "from sklearn.linear_model import LogisticRegression"
      ],
      "metadata": {
        "id": "SrwY-kf6ETGB"
      },
      "execution_count": 98,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('Churn_Modelling.csv')"
      ],
      "metadata": {
        "id": "GmtRJQPcEWsd"
      },
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop(columns=['RowNumber', 'CustomerId', 'Surname'])\n",
        "df = pd.get_dummies(df, columns=['Geography', 'Gender'], drop_first=True)"
      ],
      "metadata": {
        "id": "yo64bgy8EZ5U"
      },
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gbbu9v3hEbZV",
        "outputId": "4dd6e1bd-4805-459b-ed4c-098612e430d9"
      },
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 12)"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z6vZ92L0EfFs",
        "outputId": "cb88f910-2182-4566-fe0d-bd16250b41c6"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['CreditScore', 'Age', 'Tenure', 'Balance', 'NumOfProducts', 'HasCrCard',\n",
              "       'IsActiveMember', 'EstimatedSalary', 'Exited', 'Geography_Germany',\n",
              "       'Geography_Spain', 'Gender_Male'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dypohyBbEgzU",
        "outputId": "d3893c79-c3f5-4569-965a-f9909519d705"
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method DataFrame.info of       CreditScore  Age  Tenure    Balance  NumOfProducts  HasCrCard  \\\n",
              "0             619   42       2       0.00              1          1   \n",
              "1             608   41       1   83807.86              1          0   \n",
              "2             502   42       8  159660.80              3          1   \n",
              "3             699   39       1       0.00              2          0   \n",
              "4             850   43       2  125510.82              1          1   \n",
              "...           ...  ...     ...        ...            ...        ...   \n",
              "9995          771   39       5       0.00              2          1   \n",
              "9996          516   35      10   57369.61              1          1   \n",
              "9997          709   36       7       0.00              1          0   \n",
              "9998          772   42       3   75075.31              2          1   \n",
              "9999          792   28       4  130142.79              1          1   \n",
              "\n",
              "      IsActiveMember  EstimatedSalary  Exited  Geography_Germany  \\\n",
              "0                  1        101348.88       1                  0   \n",
              "1                  1        112542.58       0                  0   \n",
              "2                  0        113931.57       1                  0   \n",
              "3                  0         93826.63       0                  0   \n",
              "4                  1         79084.10       0                  0   \n",
              "...              ...              ...     ...                ...   \n",
              "9995               0         96270.64       0                  0   \n",
              "9996               1        101699.77       0                  0   \n",
              "9997               1         42085.58       1                  0   \n",
              "9998               0         92888.52       1                  1   \n",
              "9999               0         38190.78       0                  0   \n",
              "\n",
              "      Geography_Spain  Gender_Male  \n",
              "0                   0            0  \n",
              "1                   1            0  \n",
              "2                   0            0  \n",
              "3                   0            0  \n",
              "4                   1            0  \n",
              "...               ...          ...  \n",
              "9995                0            1  \n",
              "9996                0            1  \n",
              "9997                0            0  \n",
              "9998                0            1  \n",
              "9999                0            0  \n",
              "\n",
              "[10000 rows x 12 columns]>"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YMzXN5IkEkvi",
        "outputId": "249bfc14-7f2d-4c85-d2c5-ce9b6bd551da"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of       CreditScore  Age  Tenure    Balance  NumOfProducts  HasCrCard  \\\n",
              "0             619   42       2       0.00              1          1   \n",
              "1             608   41       1   83807.86              1          0   \n",
              "2             502   42       8  159660.80              3          1   \n",
              "3             699   39       1       0.00              2          0   \n",
              "4             850   43       2  125510.82              1          1   \n",
              "...           ...  ...     ...        ...            ...        ...   \n",
              "9995          771   39       5       0.00              2          1   \n",
              "9996          516   35      10   57369.61              1          1   \n",
              "9997          709   36       7       0.00              1          0   \n",
              "9998          772   42       3   75075.31              2          1   \n",
              "9999          792   28       4  130142.79              1          1   \n",
              "\n",
              "      IsActiveMember  EstimatedSalary  Exited  Geography_Germany  \\\n",
              "0                  1        101348.88       1                  0   \n",
              "1                  1        112542.58       0                  0   \n",
              "2                  0        113931.57       1                  0   \n",
              "3                  0         93826.63       0                  0   \n",
              "4                  1         79084.10       0                  0   \n",
              "...              ...              ...     ...                ...   \n",
              "9995               0         96270.64       0                  0   \n",
              "9996               1        101699.77       0                  0   \n",
              "9997               1         42085.58       1                  0   \n",
              "9998               0         92888.52       1                  1   \n",
              "9999               0         38190.78       0                  0   \n",
              "\n",
              "      Geography_Spain  Gender_Male  \n",
              "0                   0            0  \n",
              "1                   1            0  \n",
              "2                   0            0  \n",
              "3                   0            0  \n",
              "4                   1            0  \n",
              "...               ...          ...  \n",
              "9995                0            1  \n",
              "9996                0            1  \n",
              "9997                0            0  \n",
              "9998                0            1  \n",
              "9999                0            0  \n",
              "\n",
              "[10000 rows x 12 columns]>"
            ]
          },
          "metadata": {},
          "execution_count": 104
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(df['Age'],df['EstimatedSalary'])\n",
        "plt.xlabel('Age')\n",
        "plt.ylabel('Estimated Salary')\n",
        "plt.title('Age vs  estimated salary')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "drkZrQKdEouz",
        "outputId": "243ea565-9a8f-4b66-8d62-b643e94b7332"
      },
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Age vs  estimated salary')"
            ]
          },
          "metadata": {},
          "execution_count": 105
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x = df.drop(columns=['Exited'])\n",
        "y = df['Exited'].values"
      ],
      "metadata": {
        "id": "Kl06xI8xErAZ"
      },
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x.head"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zazWRTzOEuGx",
        "outputId": "53fe1c0a-d745-480a-9d14-cc34a723e6df"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method NDFrame.head of       CreditScore  Age  Tenure    Balance  NumOfProducts  HasCrCard  \\\n",
              "0             619   42       2       0.00              1          1   \n",
              "1             608   41       1   83807.86              1          0   \n",
              "2             502   42       8  159660.80              3          1   \n",
              "3             699   39       1       0.00              2          0   \n",
              "4             850   43       2  125510.82              1          1   \n",
              "...           ...  ...     ...        ...            ...        ...   \n",
              "9995          771   39       5       0.00              2          1   \n",
              "9996          516   35      10   57369.61              1          1   \n",
              "9997          709   36       7       0.00              1          0   \n",
              "9998          772   42       3   75075.31              2          1   \n",
              "9999          792   28       4  130142.79              1          1   \n",
              "\n",
              "      IsActiveMember  EstimatedSalary  Geography_Germany  Geography_Spain  \\\n",
              "0                  1        101348.88                  0                0   \n",
              "1                  1        112542.58                  0                1   \n",
              "2                  0        113931.57                  0                0   \n",
              "3                  0         93826.63                  0                0   \n",
              "4                  1         79084.10                  0                1   \n",
              "...              ...              ...                ...              ...   \n",
              "9995               0         96270.64                  0                0   \n",
              "9996               1        101699.77                  0                0   \n",
              "9997               1         42085.58                  0                0   \n",
              "9998               0         92888.52                  1                0   \n",
              "9999               0         38190.78                  0                0   \n",
              "\n",
              "      Gender_Male  \n",
              "0               0  \n",
              "1               0  \n",
              "2               0  \n",
              "3               0  \n",
              "4               0  \n",
              "...           ...  \n",
              "9995            1  \n",
              "9996            1  \n",
              "9997            0  \n",
              "9998            1  \n",
              "9999            0  \n",
              "\n",
              "[10000 rows x 11 columns]>"
            ]
          },
          "metadata": {},
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heat = df.corr()\n",
        "plt.figure(figsize = [16,8])\n",
        "plt.title(\"Correlation\", size = 15, pad = 10, color = '#1ccdb6')\n",
        "sns.heatmap(heat, cmap = sns.diverging_palette(20, 220, n = 200), annot = True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 802
        },
        "id": "mAH--6j_EyYh",
        "outputId": "ba235cff-90ba-4af2-ea8b-003fdc8c250e"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (12,12))\n",
        "bank = df[\"Exited\"].value_counts()\n",
        "bank.plot(kind=\"bar\" ,color = 'green')\n",
        "plt.xlabel('Exited')\n",
        "plt.ylabel('count')\n",
        "plt.title('Bank Churn')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uPYCn2iuE1LF",
        "outputId": "819c0ba7-b723-4e0b-f457-983e23b4f9e3"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1200 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(x, edgecolor='black')\n",
        "plt.title('Bank Churn')\n",
        "plt.xlabel('vectors')\n",
        "plt.ylabel('size')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "a8FU6QPOE4jb",
        "outputId": "b2ae648c-0131-4006-ce83-ad9844f98fef"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter( df['Exited'],df['CreditScore'])\n",
        "plt.xlabel('Credit Score')\n",
        "plt.ylabel('Tenure')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "lsMgEdFbE5Yl",
        "outputId": "659d2680-c6af-42aa-aeb4-9130f02f967a"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Tenure')"
            ]
          },
          "metadata": {},
          "execution_count": 111
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=0)"
      ],
      "metadata": {
        "id": "noCW9vb4E8GP"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "scaled = StandardScaler()\n",
        "\n",
        "x_train_scaled = scaled.fit_transform(x_train)\n",
        "x_test_scaled = scaled.transform(x_test)"
      ],
      "metadata": {
        "id": "XDVWoYrkFASQ"
      },
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_test_scaled.shape, x_train_scaled.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NfleYDa9FDAf",
        "outputId": "f0f431da-cd85-4fba-8bb9-3975988b5e7f"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((2000, 11), (8000, 11))"
            ]
          },
          "metadata": {},
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_train_scaled"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hQ9nlWP3FFqv",
        "outputId": "55dec1cf-7ae4-42d9-e241-f5cacc5faa85"
      },
      "execution_count": 115,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.16958176, -0.46460796,  0.00666099, ..., -0.5698444 ,\n",
              "         1.74309049, -1.09168714],\n",
              "       [-2.30455945,  0.30102557, -1.37744033, ...,  1.75486502,\n",
              "        -0.57369368,  0.91601335],\n",
              "       [-1.19119591, -0.94312892, -1.031415  , ..., -0.5698444 ,\n",
              "        -0.57369368, -1.09168714],\n",
              "       ...,\n",
              "       [ 0.9015152 , -0.36890377,  0.00666099, ..., -0.5698444 ,\n",
              "        -0.57369368,  0.91601335],\n",
              "       [-0.62420521, -0.08179119,  1.39076231, ..., -0.5698444 ,\n",
              "         1.74309049, -1.09168714],\n",
              "       [-0.28401079,  0.87525072, -1.37744033, ...,  1.75486502,\n",
              "        -0.57369368, -1.09168714]])"
            ]
          },
          "metadata": {},
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rfc = RandomForestClassifier(random_state=0)\n",
        "fitting_data_tree= rfc.fit(x_train,y_train)\n",
        "rfc_y_prediction = rfc.predict(x_test)"
      ],
      "metadata": {
        "id": "NYfwFgccFKR6"
      },
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ref_accuracy= accuracy_score(y_test,rfc_y_prediction)\n",
        "ref_f1 =  f1_score(y_test,rfc_y_prediction)\n",
        "rfc_prec =  precision_score(y_test,rfc_y_prediction)\n",
        "rfc_rec = recall_score(y_test,rfc_y_prediction)\n",
        "classification = classification_report(y_test,rfc_y_prediction)"
      ],
      "metadata": {
        "id": "HngEuENEFNGv"
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'Accuracy {ref_accuracy}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LlHRB6pVFPnY",
        "outputId": "02769b83-8a52-4a8e-b993-9d6cd627f236"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy 0.866\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'f1 score {ref_f1}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BMRCuAckFS0U",
        "outputId": "2cd33f03-6bf1-46b1-89d6-6b9a46317e98"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "f1 score 0.6127167630057804\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'precision score {rfc_prec}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_No4YnPrFVkN",
        "outputId": "ce984a4c-752e-48e1-c8b2-54d9333d7fd5"
      },
      "execution_count": 120,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "precision score 0.7386759581881533\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'Recall Score  {rfc_rec}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jEyh5asoFYb_",
        "outputId": "dc534d48-4289-4297-d181-32332d57722d"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Recall Score  0.5234567901234568\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(classification)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5ThsFIh5FbiU",
        "outputId": "69cf9e6a-4aca-4d17-d8b5-eac28b041856"
      },
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.89      0.95      0.92      1595\n",
            "           1       0.74      0.52      0.61       405\n",
            "\n",
            "    accuracy                           0.87      2000\n",
            "   macro avg       0.81      0.74      0.77      2000\n",
            "weighted avg       0.86      0.87      0.86      2000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rfc_results=pd.DataFrame([['Random Forest Classifier',ref_accuracy,ref_f1, rfc_prec,rfc_rec]],columns=['Model','Accuracy','F1','Precision','Recall'])\n",
        "rfc_results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "Zr_KXPFPFevx",
        "outputId": "592c03a1-cb6f-407d-91c4-63d89fb22742"
      },
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      Model  Accuracy        F1  Precision    Recall\n",
              "0  Random Forest Classifier     0.866  0.612717   0.738676  0.523457"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9aae450b-7aa5-482b-93c9-db6e57b64866\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Model</th>\n",
              "      <th>Accuracy</th>\n",
              "      <th>F1</th>\n",
              "      <th>Precision</th>\n",
              "      <th>Recall</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Random Forest Classifier</td>\n",
              "      <td>0.866</td>\n",
              "      <td>0.612717</td>\n",
              "      <td>0.738676</td>\n",
              "      <td>0.523457</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9aae450b-7aa5-482b-93c9-db6e57b64866')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-9aae450b-7aa5-482b-93c9-db6e57b64866 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-9aae450b-7aa5-482b-93c9-db6e57b64866');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def New_prediction(new_prediction):\n",
        "    result = ''\n",
        "    if rfc.predict([new_prediction])[0] == 1:\n",
        "        result='Will Exit'\n",
        "    else:\n",
        "        result='Will Not Exit'\n",
        "    return result"
      ],
      "metadata": {
        "id": "9v_lRmplFhkc"
      },
      "execution_count": 124,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 143,
      "metadata": {
        "id": "K7SkTCuT1czy"
      },
      "outputs": [],
      "source": [
        "import ipywidgets as widgets\n",
        "from IPython.display import display, clear_output"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# !jupyter nbextension enable --py widgetsnbextension --sys-prefix\n",
        "# !jupyter serverextension enable voila --sys-prefix"
      ],
      "metadata": {
        "id": "6HR9eQUu1myo"
      },
      "execution_count": 126,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Image Widget\n",
        "\n",
        "file = open(\"customer-churn-img.png\", \"rb\")\n",
        "image = file.read()\n",
        "\n",
        "image_headline = widgets.Image(\n",
        "                    value=image,\n",
        "                    format='png',\n",
        "                    width='300'\n",
        "                )\n",
        "\n",
        "label_headline = widgets.Label(\n",
        "                    value='Bank Churn Prediction',\n",
        "                    style={'description_width': 'initial'}\n",
        "                )\n",
        "\n",
        "vbox_headline = widgets.VBox([image_headline, label_headline])"
      ],
      "metadata": {
        "id": "9ABg1XYW1uVn"
      },
      "execution_count": 127,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "crScore = widgets.Text(placeholder='Customers Credit Score')"
      ],
      "metadata": {
        "id": "J3uSpLcs14XZ"
      },
      "execution_count": 128,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cuAge = widgets.Text(placeholder='Customers Age')"
      ],
      "metadata": {
        "id": "5rSUnl382E0s"
      },
      "execution_count": 129,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cuTenure = widgets.IntSlider(\n",
        "            value=5, # default value\n",
        "            min=0,\n",
        "            max=50,\n",
        "            step=1,\n",
        "            style={'description_width': 'initial', 'handle_color': '#16a085'}\n",
        "        )"
      ],
      "metadata": {
        "id": "ifL96w0N3R6k"
      },
      "execution_count": 130,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cuBalance = widgets.Text(placeholder='Customers Bank Balance')"
      ],
      "metadata": {
        "id": "ysvVxD3M3hX2"
      },
      "execution_count": 131,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "noOfPro = widgets.IntSlider(\n",
        "            value=1, # default value\n",
        "            min=0,\n",
        "            max=5,\n",
        "            step=1,\n",
        "            style={'description_width': 'initial', 'handle_color': '#16a085'}\n",
        "        )"
      ],
      "metadata": {
        "id": "gJ_z0_s23sTc"
      },
      "execution_count": 132,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "haveCard = widgets.ToggleButtons(\n",
        "            options=['Yes', 'No']\n",
        "        )"
      ],
      "metadata": {
        "id": "l_exTJeF342Y"
      },
      "execution_count": 133,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "isActive = widgets.ToggleButtons(\n",
        "            options=['Yes', 'No']\n",
        "        )"
      ],
      "metadata": {
        "id": "cgE4npZs4MOh"
      },
      "execution_count": 134,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cuSalary = widgets.Text(placeholder='Customers Estimated Salary')"
      ],
      "metadata": {
        "id": "4JKU9IEZ4Rkf"
      },
      "execution_count": 135,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "isMumbai = widgets.ToggleButtons(\n",
        "            options=['Yes', 'No']\n",
        "        )"
      ],
      "metadata": {
        "id": "oJ1JeIQd4cxl"
      },
      "execution_count": 136,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "isMaharashtra = widgets.ToggleButtons(\n",
        "            options=['Yes', 'No']\n",
        "        )\n",
        "isMaharashtra.disabled = True"
      ],
      "metadata": {
        "id": "edgbh9qk4fUH"
      },
      "execution_count": 137,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to handle the interaction\n",
        "def toggle_maharashtra(change):\n",
        "    if change['new'] == 'Yes':\n",
        "        isMaharashtra.disabled = True\n",
        "    else:\n",
        "        isMaharashtra.disabled = False\n",
        "\n",
        "# Attach the observer function to the isMumbai toggle button\n",
        "isMumbai.observe(toggle_maharashtra, names='value')"
      ],
      "metadata": {
        "id": "E4pvnOEvBXcd"
      },
      "execution_count": 138,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gender = widgets.ToggleButtons(\n",
        "            options=['Male', 'Female']\n",
        "        )"
      ],
      "metadata": {
        "id": "tJt9AcJ-4h9v"
      },
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# button send\n",
        "\n",
        "button_check = widgets.Button(\n",
        "                description='Check',\n",
        "                tooltip='Check',\n",
        "                style={'description_width': 'initial'}\n",
        "            )\n",
        "\n",
        "output = widgets.Output()\n",
        "\n",
        "def on_button_clicked(event):\n",
        "    with output:\n",
        "        clear_output()\n",
        "        creditScore = crScore.value\n",
        "        age = cuAge.value\n",
        "        tenure = cuTenure.value\n",
        "        balance = cuBalance.value\n",
        "        numOfProducts = noOfPro.value\n",
        "        hasCrCard = haveCard.value\n",
        "        isActiveMember = isActive.value\n",
        "        estimatedSalary = cuSalary.value\n",
        "        isFromMumbai = isMumbai.value\n",
        "        isFromMaharashtra = isMaharashtra.value\n",
        "        isAge = gender.value\n",
        "\n",
        "        if isFromMumbai.lower() == \"yes\":\n",
        "            mumbai_code = 1\n",
        "        elif isFromMumbai.lower() == \"no\":\n",
        "            mumbai_code = 0\n",
        "\n",
        "        if mumbai_code == 1:\n",
        "          maharashtra_code = 1\n",
        "        else:\n",
        "          if isFromMaharashtra.lower() == \"yes\":\n",
        "            maharashtra_code = 1\n",
        "          elif isFromMaharashtra.lower() == \"no\":\n",
        "            maharashtra_code = 0\n",
        "        if hasCrCard.lower() == \"yes\":\n",
        "            card_code = 1\n",
        "        elif hasCrCard.lower() == \"no\":\n",
        "            card_code = 0\n",
        "        if isActiveMember.lower() == \"yes\":\n",
        "            member_code = 1\n",
        "        elif isActiveMember.lower() == \"no\":\n",
        "            member_code = 0\n",
        "        if isAge.lower() == \"male\":\n",
        "            gender_code = 1\n",
        "        elif isAge.lower() == \"female\":\n",
        "            gender_code = 0\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "        single_prediction=[creditScore,age,tenure, balance,\tnumOfProducts,\tcard_code,\tmember_code,\testimatedSalary,\n",
        "                           mumbai_code,\tmaharashtra_code,\tgender_code]\n",
        "        print(New_prediction(single_prediction))\n",
        "\n",
        "        crScore.value = ''\n",
        "        cuAge.value = ''\n",
        "        cuBalance.value = ''\n",
        "        haveCard.value = None\n",
        "        isActive.value = None\n",
        "        cuSalary.value = ''\n",
        "        isMumbai.value = None\n",
        "        isMaharashtra.value = None\n",
        "        gender.value = None\n",
        "\n",
        "button_check.on_click(on_button_clicked)\n",
        "\n",
        "vbox_result = widgets.VBox([button_check, output])"
      ],
      "metadata": {
        "id": "LD6ScS-N4oql"
      },
      "execution_count": 162,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# stacked right hand side\n",
        "\n",
        "text_0 = widgets.HTML(value=\"<h1>Bank Churn Prediction</h1>\")\n",
        "text_score = widgets.HTML(value=\"<h2>Enter customers credit score</h2>\")\n",
        "text_age = widgets.HTML(value=\"<h2>Enter customers age</h2>\")\n",
        "text_tenure = widgets.HTML(value=\"<h2>Enter customers tenure</h2>\")\n",
        "text_balance = widgets.HTML(value=\"<h2>Enter customers bank balance</h2>\")\n",
        "text_products = widgets.HTML(value=\"<h2>Enter No. of Products used by customer</h2>\")\n",
        "text_card = widgets.HTML(value=\"<h2>Is customer having Credit Card?</h2>\")\n",
        "text_active = widgets.HTML(value=\"<h2>Is customers an active member?</h2>\")\n",
        "text_salary = widgets.HTML(value=\"<h2>Estimated salary of customer</h2>\")\n",
        "text_mumbai = widgets.HTML(value=\"<h2>Is customer from Mumbai?</h2>\")\n",
        "text_maharashtra = widgets.HTML(value=\"<h2>Is customer from Maharashtra?</h2>\")\n",
        "text_gender = widgets.HTML(value=\"<h2>Gender</h2>\")\n",
        "text_1 = widgets.HTML(value=\"<h1>----------------------------------</h1>\")\n",
        "\n",
        "vbox_text = widgets.VBox([text_0, text_score, crScore, text_age, cuAge, text_tenure, cuTenure, text_balance, cuBalance,\n",
        "                          text_products, noOfPro, text_card, haveCard, vbox_result])\n",
        "vbox1_text = widgets.VBox([text_1, text_active, isActive, text_salary, cuSalary,\n",
        "                          text_mumbai, isMumbai, text_maharashtra, isMaharashtra, text_gender, gender])"
      ],
      "metadata": {
        "id": "W4DKD4Q_570J"
      },
      "execution_count": 163,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "page = widgets.HBox([vbox_headline, vbox_text, vbox1_text])\n",
        "display(page)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626,
          "referenced_widgets": [
            "76d7d340e4f240fe806cf1869deb8f60",
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            "5f3b2404cbb246d9afb3b3290947b9ee",
            "930bbb7b2894445fa3c7b026fc6c3223",
            "0aa96b90f86e41c0bb27132ce86ae9dd",
            "5ff944beb64d41f2895acb51a5bceab9",
            "f7e985ff42da4a2b8380136d49b724be",
            "8e62e59ebd3a4fa0b4b164e8d435b372",
            "45eed0a715e545418b8ea3dae125f191"
          ]
        },
        "id": "iwGUsVN_82Pf",
        "outputId": "955fdacf-96e9-467e-a12e-0a9d96a5eee9"
      },
      "execution_count": 164,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HBox(children=(VBox(children=(Image(value=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x05x\\x00\\x00\\x03\\x13\\x…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "76d7d340e4f240fe806cf1869deb8f60"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "PiWCTNVQ85D6"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}