decision_tree_classifier.ipynb

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    "colab": {
      "name": "decision_tree_classifier.ipynb",
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      "authorship_tag": "ABX9TyOm1/ra2qM+FSvOXH4vhZwS"
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  "cells": [
    {
      "cell_type": "markdown",
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        "id": "GbJ06sqv105t"
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      "source": [
        "## **Decision Tree**\r\n",
        "Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TkGoC2Vl2afV"
      },
      "source": [
        "# **Data set**\r\n",
        "![WhatsApp Image 2021-01-19 at 9.05.53 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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-h8qW8X829Cm"
      },
      "source": [
        "# **The complete process can be better understood using the below algorithm:**\r\n",
        "Step-1: Begin the tree with the root node, says S, which contains the complete dataset.\r\n",
        "\r\n",
        "Step-2: Find the best attribute in the dataset using Attribute Selection Measure (ASM).\r\n",
        "\r\n",
        "Step-3: Divide the S into subsets that contains possible values for the best attributes.\r\n",
        "\r\n",
        "Step-4: Generate the decision tree node, which contains the best attribute.\r\n",
        "\r\n",
        "Step-5: Recursively make new decision trees using the subsets of the dataset created in step -3. Continue this process until a stage is reached where you cannot further classify the nodes and called the final node as a leaf node."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vxIAsa83ASEk"
      },
      "source": [
        "import pandas as pd\r\n",
        "import numpy as np\r\n",
        "import pydotplus\r\n",
        "from sklearn.preprocessing import LabelEncoder\r\n",
        "from sklearn.tree import DecisionTreeClassifier\r\n",
        "from sklearn.externals.six import StringIO\r\n",
        "from IPython.display import Image\r\n",
        "from sklearn.tree import export_graphviz\r\n",
        "\r\n"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "CRer-NbGA1JF",
        "outputId": "68f296b3-e36a-4ee5-9873-0da4b034bcd3"
      },
      "source": [
        "dataset = pd.read_csv(\"loandata.csv\")\r\n",
        "dataset"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>RID</th>\n",
              "      <th>age</th>\n",
              "      <th>income</th>\n",
              "      <th>student</th>\n",
              "      <th>credit_rating</th>\n",
              "      <th>buys_computer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>youth</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>youth</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>senior</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>senior</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>youth</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>youth</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>youth</td>\n",
              "      <td>medium</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>high</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "      <td>yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>14</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    RID          age  income student credit_rating buys_computer\n",
              "0     1        youth    high      no          fair            no\n",
              "1     2        youth    high      no     excellent            no\n",
              "2     3  middle_aged    high      no          fair           yes\n",
              "3     4       senior  medium      no          fair           yes\n",
              "4     5       senior     low     yes          fair           yes\n",
              "5     6       senior     low     yes     excellent            no\n",
              "6     7  middle_aged     low     yes     excellent            no\n",
              "7     8        youth  medium      no          fair            no\n",
              "8     9        youth     low     yes          fair           yes\n",
              "9    10       senior  medium     yes          fair           yes\n",
              "10   11        youth  medium     yes     excellent           yes\n",
              "11   12  middle_aged  medium      no     excellent           yes\n",
              "12   13  middle_aged    high     yes          fair           yes\n",
              "13   14       senior  medium      no     excellent            no"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "ItF8frJNDDUy",
        "outputId": "9480ae8d-9524-47f4-fb81-5e30f6362932"
      },
      "source": [
        "x = dataset.iloc[:,:-1]\r\n",
        "x\r\n",
        "\r\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>RID</th>\n",
              "      <th>age</th>\n",
              "      <th>income</th>\n",
              "      <th>student</th>\n",
              "      <th>credit_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>youth</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>youth</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>high</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>senior</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>senior</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>youth</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>youth</td>\n",
              "      <td>low</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>youth</td>\n",
              "      <td>medium</td>\n",
              "      <td>yes</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>middle_aged</td>\n",
              "      <td>high</td>\n",
              "      <td>yes</td>\n",
              "      <td>fair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>14</td>\n",
              "      <td>senior</td>\n",
              "      <td>medium</td>\n",
              "      <td>no</td>\n",
              "      <td>excellent</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    RID          age  income student credit_rating\n",
              "0     1        youth    high      no          fair\n",
              "1     2        youth    high      no     excellent\n",
              "2     3  middle_aged    high      no          fair\n",
              "3     4       senior  medium      no          fair\n",
              "4     5       senior     low     yes          fair\n",
              "5     6       senior     low     yes     excellent\n",
              "6     7  middle_aged     low     yes     excellent\n",
              "7     8        youth  medium      no          fair\n",
              "8     9        youth     low     yes          fair\n",
              "9    10       senior  medium     yes          fair\n",
              "10   11        youth  medium     yes     excellent\n",
              "11   12  middle_aged  medium      no     excellent\n",
              "12   13  middle_aged    high     yes          fair\n",
              "13   14       senior  medium      no     excellent"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "NSe_PTi7E4do",
        "outputId": "a816f880-c23a-4491-b415-5f2d187bdfcc"
      },
      "source": [
        "y=dataset.iloc[:,5]\r\n",
        "LabelEncoder_x = LabelEncoder()\r\n",
        "x = x.apply(LabelEncoder().fit_transform)\r\n",
        "x"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>RID</th>\n",
              "      <th>age</th>\n",
              "      <th>income</th>\n",
              "      <th>student</th>\n",
              "      <th>credit_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>10</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>13</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    RID  age  income  student  credit_rating\n",
              "0     0    2       0        0              1\n",
              "1     1    2       0        0              0\n",
              "2     2    0       0        0              1\n",
              "3     3    1       2        0              1\n",
              "4     4    1       1        1              1\n",
              "5     5    1       1        1              0\n",
              "6     6    0       1        1              0\n",
              "7     7    2       2        0              1\n",
              "8     8    2       1        1              1\n",
              "9     9    1       2        1              1\n",
              "10   10    2       2        1              0\n",
              "11   11    0       2        0              0\n",
              "12   12    0       0        1              1\n",
              "13   13    1       2        0              0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Grl-hSYPFrHf",
        "outputId": "ee416eb2-b6a4-49f2-d94f-9a66832dd1de"
      },
      "source": [
        "regressor = DecisionTreeClassifier()\r\n",
        "regressor.fit(x.iloc[:,1:5],y)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n",
              "                       max_depth=None, max_features=None, max_leaf_nodes=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, presort='deprecated',\n",
              "                       random_state=None, splitter='best')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XmYXUvwEGAHH",
        "outputId": "be8e8e38-4653-40f9-e4fb-b5d593c5c0fa"
      },
      "source": [
        "x_in = np.array([1,1,0,0])\r\n",
        "y_pred = regressor.predict([x_in])\r\n",
        "y_pred"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['no'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vI7AIKmjG7Mw",
        "outputId": "409f982b-9ac2-4948-9ab2-4ecac27252f1"
      },
      "source": [
        "dot_data = StringIO()\r\n",
        "export_graphviz(regressor,out_file=dot_data,filled=True,rounded=True,special_characters=True)\r\n",
        "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())\r\n",
        "pc = graph.write_png('dc_tree.png')\r\n",
        "pc"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ojGH0i9WLna2"
      },
      "source": [
        "# **Output Image:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 583
        },
        "id": "SCX-r8jpLQhk",
        "outputId": "85a36c71-a3a8-476d-e819-dcc2653234bd"
      },
      "source": [
        "Image(filename='dc_tree.png')"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    }
  ]
}