SPAM_CLASSIFIER_TASK_1.ipynb

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      "source": [
        "#importing libraries\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.naive_bayes import MultinomialNB"
      ]
    },
    {
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      "source": [
        "#importing dataset\n",
        "data=pd.read_csv(\"/content/spam_dataset.csv\",encoding='latin-1')"
      ],
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        "id": "gZFx-2j4G1GW"
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              "     v1                                                 v2 Unnamed: 2  \\\n",
              "0   ham  Go until jurong point, crazy.. Available only ...        NaN   \n",
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              "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...        NaN   \n",
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              "4   ham  Nah I don't think he goes to usf, he lives aro...        NaN   \n",
              "\n",
              "  Unnamed: 3 Unnamed: 4  \n",
              "0        NaN        NaN  \n",
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      "source": [
        "data.isna().sum()"
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        "id": "Fb6HhUbWHWlJ",
        "outputId": "550e2b0a-c42f-4f28-aa05-2fcc1e429ccd"
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              "v1               0\n",
              "v2               0\n",
              "Unnamed: 2    5522\n",
              "Unnamed: 3    5560\n",
              "Unnamed: 4    5566\n",
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    {
      "cell_type": "markdown",
      "source": [
        "## Removing unnecessary columns"
      ],
      "metadata": {
        "id": "6n8Sx4vXJauK"
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      "cell_type": "code",
      "source": [
        "data.drop(['Unnamed: 2', 'Unnamed: 3', 'Unnamed: 4'], axis=1, inplace=True)\n"
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      "metadata": {
        "id": "U4_o7uRGHbiv"
      },
      "execution_count": null,
      "outputs": []
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    {
      "cell_type": "markdown",
      "source": [
        "# **Renaming** **columns** **as** **Category** **and** **Message**"
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        "id": "P7fJnH6KJs8c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.columns=['Category','Message']"
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      "metadata": {
        "id": "x6vNlQ5GJDF4"
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      "execution_count": null,
      "outputs": []
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        "data.head(10)"
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        "id": "LtFP502IKD3W",
        "outputId": "2be523b5-ec70-4e89-90fe-e0742add4302"
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              "  Category                                            Message\n",
              "0      ham  Go until jurong point, crazy.. Available only ...\n",
              "1      ham                      Ok lar... Joking wif u oni...\n",
              "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
              "3      ham  U dun say so early hor... U c already then say...\n",
              "4      ham  Nah I don't think he goes to usf, he lives aro...\n",
              "5     spam  FreeMsg Hey there darling it's been 3 week's n...\n",
              "6      ham  Even my brother is not like to speak with me. ...\n",
              "7      ham  As per your request 'Melle Melle (Oru Minnamin...\n",
              "8     spam  WINNER!! As a valued network customer you have...\n",
              "9     spam  Had your mobile 11 months or more? U R entitle..."
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              "      <td>ham</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-132c467d-7759-4145-a9b9-8d3749345564')\"\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-132c467d-7759-4145-a9b9-8d3749345564 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-132c467d-7759-4145-a9b9-8d3749345564');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-72650b8b-37d6-4e41-9483-b00484da7a3c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-72650b8b-37d6-4e41-9483-b00484da7a3c')\"\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-72650b8b-37d6-4e41-9483-b00484da7a3c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5572,\n  \"fields\": [\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Message\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UcR6Ch8eKMbu",
        "outputId": "6f4fcd8e-5328-46a5-c1b2-e8372c67b559"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 5572 entries, 0 to 5571\n",
            "Data columns (total 2 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   Category  5572 non-null   object\n",
            " 1   Message   5572 non-null   object\n",
            "dtypes: object(2)\n",
            "memory usage: 87.2+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['Category'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jiiizk4dKpeu",
        "outputId": "bdbef0c2-a5eb-44b0-88b3-e66bbb9874e2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Category\n",
              "ham     4825\n",
              "spam     747\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['Category'].value_counts().plot(kind='bar')\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 491
        },
        "id": "wIP4Yxy0Kx16",
        "outputId": "1c79e8df-fca3-4a02-f124-5bc4d90577a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Category'>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "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": [
        "## Lambda is an anonymous function"
      ],
      "metadata": {
        "id": "JYLWHh7HLnry"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['Spam']=data['Category'].apply(lambda x:1 if x=='spam' else 0)"
      ],
      "metadata": {
        "id": "pWT9o5JPLXas"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JwIL2npoL5LQ",
        "outputId": "0aacf23d-8727-428d-cf97-7d746750c7d3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Category', 'Message', 'Spam'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1349
        },
        "id": "MfISS86LL9xP",
        "outputId": "f0b6ab7a-0621-4986-b89a-866f94baf5df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Category                                            Message  Spam\n",
              "0      ham  Go until jurong point, crazy.. Available only ...     0\n",
              "1      ham                      Ok lar... Joking wif u oni...     0\n",
              "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...     1\n",
              "3      ham  U dun say so early hor... U c already then say...     0\n",
              "4      ham  Nah I don't think he goes to usf, he lives aro...     0\n",
              "5     spam  FreeMsg Hey there darling it's been 3 week's n...     1\n",
              "6      ham  Even my brother is not like to speak with me. ...     0\n",
              "7      ham  As per your request 'Melle Melle (Oru Minnamin...     0\n",
              "8     spam  WINNER!! As a valued network customer you have...     1\n",
              "9     spam  Had your mobile 11 months or more? U R entitle...     1"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d9181a5f-d91f-40ae-b36b-ac97b166d269\" 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>Category</th>\n",
              "      <th>Message</th>\n",
              "      <th>Spam</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ham</td>\n",
              "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ham</td>\n",
              "      <td>Ok lar... Joking wif u oni...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>spam</td>\n",
              "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ham</td>\n",
              "      <td>U dun say so early hor... U c already then say...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ham</td>\n",
              "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>spam</td>\n",
              "      <td>FreeMsg Hey there darling it's been 3 week's n...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ham</td>\n",
              "      <td>Even my brother is not like to speak with me. ...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ham</td>\n",
              "      <td>As per your request 'Melle Melle (Oru Minnamin...</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>spam</td>\n",
              "      <td>WINNER!! As a valued network customer you have...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>spam</td>\n",
              "      <td>Had your mobile 11 months or more? U R entitle...</td>\n",
              "      <td>1</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-d9181a5f-d91f-40ae-b36b-ac97b166d269')\"\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-d9181a5f-d91f-40ae-b36b-ac97b166d269 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-d9181a5f-d91f-40ae-b36b-ac97b166d269');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8fb8e62d-0d48-4360-a1d1-4a933f4f49aa\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8fb8e62d-0d48-4360-a1d1-4a933f4f49aa')\"\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-8fb8e62d-0d48-4360-a1d1-4a933f4f49aa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 5572,\n  \"fields\": [\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"spam\",\n          \"ham\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Message\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5169,\n        \"samples\": [\n          \"Did u download the fring app?\",\n          \"Pass dis to all ur contacts n see wat u get! Red;i'm in luv wid u. Blue;u put a smile on my face. Purple;u r realy hot. Pink;u r so swt. Orange;i thnk i lyk u. Green;i realy wana go out wid u. Yelow;i wnt u bck. Black;i'm jealous of u. Brown;i miss you Nw plz giv me one color\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spam\",\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}"
            }
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c3777eaa0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "_df_0['index'].plot(kind='hist', bins=20, title='index')\n",
              "plt.gca().spines[['top', 'right',]].set_visible(False)"
            ],
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-3a026e6d-1832-4d6b-bd23-61fb0639ce28\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-3a026e6d-1832-4d6b-bd23-61fb0639ce28\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "_df_1['Spam'].plot(kind='hist', bins=20, title='Spam')\n",
              "plt.gca().spines[['top', 'right',]].set_visible(False)"
            ],
            "text/html": [
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-a79b16a4-0165-44a0-93f9-8302164fdca9\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-a79b16a4-0165-44a0-93f9-8302164fdca9\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c37641060>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Categorical distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "_df_2.groupby('Category').size().plot(kind='barh', color=sns.palettes.mpl_palette('Dark2'))\n",
              "plt.gca().spines[['top', 'right',]].set_visible(False)"
            ],
            "text/html": [
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-1adeaf9f-ff84-42df-9fce-49efc5f1712f\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-1adeaf9f-ff84-42df-9fce-49efc5f1712f\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c378dd2a0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">2-d distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "_df_3.plot(kind='scatter', x='index', y='Spam', s=32, alpha=.8)\n",
              "plt.gca().spines[['top', 'right',]].set_visible(False)"
            ],
            "text/html": [
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-40dc2279-417a-4905-b181-54e5b0e7ab80\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-40dc2279-417a-4905-b181-54e5b0e7ab80\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c376436d0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Time series</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  xs = series['index']\n",
              "  ys = series['Spam']\n",
              "  \n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = _df_4.sort_values('index', ascending=True)\n",
              "for i, (series_name, series) in enumerate(df_sorted.groupby('Category')):\n",
              "  _plot_series(series, series_name, i)\n",
              "  fig.legend(title='Category', bbox_to_anchor=(1, 1), loc='upper left')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('index')\n",
              "_ = plt.ylabel('Spam')"
            ],
            "text/html": [
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              "IhAAAAAASUVORK5CYII=\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-f82d1800-b551-4519-974e-97d9eb443efc\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-f82d1800-b551-4519-974e-97d9eb443efc\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  counted = (series['index']\n",
              "                .value_counts()\n",
              "              .reset_index(name='counts')\n",
              "              .rename({'index': 'index'}, axis=1)\n",
              "              .sort_values('index', ascending=True))\n",
              "  xs = counted['index']\n",
              "  ys = counted['counts']\n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = _df_5.sort_values('index', ascending=True)\n",
              "for i, (series_name, series) in enumerate(df_sorted.groupby('Category')):\n",
              "  _plot_series(series, series_name, i)\n",
              "  fig.legend(title='Category', bbox_to_anchor=(1, 1), loc='upper left')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('index')\n",
              "_ = plt.ylabel('count()')"
            ],
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-304356f4-0db5-4e10-9148-17da6b8f495d\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-304356f4-0db5-4e10-9148-17da6b8f495d\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c37640550>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Values</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "_df_6['index'].plot(kind='line', figsize=(8, 4), title='index')\n",
              "plt.gca().spines[['top', 'right']].set_visible(False)"
            ],
            "text/html": [
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-c0c389ac-9b07-44df-97ea-9ab8d9d6b54b\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-c0c389ac-9b07-44df-97ea-9ab8d9d6b54b\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "_df_7['Spam'].plot(kind='line', figsize=(8, 4), title='Spam')\n",
              "plt.gca().spines[['top', 'right']].set_visible(False)"
            ],
            "text/html": [
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              "TOeryuH1hgAAAABJRU5ErkJggg==\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-b1632137-1523-45ef-954f-68f92f86089c\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-b1632137-1523-45ef-954f-68f92f86089c\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7d9c37643100>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Faceted distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<string>:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "figsize = (12, 1.2 * len(_df_8['Category'].unique()))\n",
              "plt.figure(figsize=figsize)\n",
              "sns.violinplot(_df_8, x='index', y='Category', inner='stick', palette='Dark2')\n",
              "sns.despine(top=True, right=True, bottom=True, left=True)"
            ],
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              "grKzAAAAAElFTkSuQmCC\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-05166b7d-c5d1-4e23-b440-36fa2e3f48f9\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-05166b7d-c5d1-4e23-b440-36fa2e3f48f9\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<string>:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "figsize = (12, 1.2 * len(_df_9['Category'].unique()))\n",
              "plt.figure(figsize=figsize)\n",
              "sns.violinplot(_df_9, x='Spam', y='Category', inner='stick', palette='Dark2')\n",
              "sns.despine(top=True, right=True, bottom=True, left=True)"
            ],
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              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-4db20849-599c-4aca-951d-551f0b9ffa84\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-4db20849-599c-4aca-951d-551f0b9ffa84\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=np.array(data[\"Message\"])\n",
        "y=np.array(data[\"Spam\"])\n",
        "cv=CountVectorizer()\n",
        "X=cv.fit_transform(x)\n",
        "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.30,random_state=42)\n",
        "\n",
        "clf=MultinomialNB()\n",
        "clf.fit(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "id": "-YhEJ4m5MNF0",
        "outputId": "a9e59ecb-5dad-4c71-f09c-a92b314dff5a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MultinomialNB()"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MultinomialNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MultinomialNB</label><div class=\"sk-toggleable__content\"><pre>MultinomialNB()</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sample=input('Enter a message:')\n",
        "data=cv.transform([sample]).toarray()\n",
        "josh=clf.predict(data)\n",
        "if josh==0:\n",
        "  print('HAM MESSAGE')\n",
        "elif josh==1:\n",
        "  print(\"SPAM MESSAGE\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w2wHajEENJyO",
        "outputId": "ddaa635b-0090-4e3a-df6f-44edd0b5c2bc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enter a message:Free pass offer\n",
            "SPAM MESSAGE\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "p=clf.score(X_test,y_test)\n",
        "accuracy=p*100\n",
        "print(accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uTkfZkd3OHly",
        "outputId": "23b1bfe7-3d0e-4780-bfd7-469e6a590c82"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "97.84688995215312\n"
          ]
        }
      ]
    }
  ]
}