추천_모델(0311).ipynb

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        "<a href=\"https://colab.research.google.com/github/cnddlf/2022_1_Study_AI/blob/main/%EC%B6%94%EC%B2%9C_%EB%AA%A8%EB%8D%B8(0311).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "dataset=[\n",
        "         ['과자', '라면', '썬크림', '달걀'],\n",
        "         ['과자', '라면', '맥주'],\n",
        "         ['라면', '소주', '달걀'],\n",
        "         ['소주', '맥주', '과자'],\n",
        "         ['라면', '파', '달걀']\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mlxtend.preprocessing import TransactionEncoder\n",
        "\n",
        "te = TransactionEncoder()\n",
        "te_matrix = te.fit_transform(dataset)\n",
        "te_matrix"
      ],
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              "array([[ True,  True,  True, False, False,  True, False],\n",
              "       [ True, False,  True,  True, False, False, False],\n",
              "       [False,  True,  True, False,  True, False, False],\n",
              "       [ True, False, False,  True,  True, False, False],\n",
              "       [False,  True,  True, False, False, False,  True]])"
            ]
          },
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          "execution_count": 2
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df_sales = pd.DataFrame(te_matrix, columns = te.columns_)\n",
        "df_sales"
      ],
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              "      과자     달걀     라면     맥주     소주    썬크림      파\n",
              "0   True   True   True  False  False   True  False\n",
              "1   True  False   True   True  False  False  False\n",
              "2  False   True   True  False   True  False  False\n",
              "3   True  False  False   True   True  False  False\n",
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      "source": [
        "from mlxtend.frequent_patterns import apriori\n",
        "\n",
        "frequent_itemsets = apriori(df_sales, min_support=0.4, use_colnames=True)\n",
        "frequent_itemsets"
      ],
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            "text/plain": [
              "   support  itemsets\n",
              "0      0.6      (과자)\n",
              "1      0.6      (달걀)\n",
              "2      0.8      (라면)\n",
              "3      0.4      (맥주)\n",
              "4      0.4      (소주)\n",
              "5      0.4  (과자, 라면)\n",
              "6      0.4  (과자, 맥주)\n",
              "7      0.6  (라면, 달걀)"
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      "source": [
        "frequent_itemsets['len']=frequent_itemsets['itemsets'].apply( lambda x : len(x))\n",
        "frequent_itemsets"
      ],
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            "text/plain": [
              "   support  itemsets  len\n",
              "0      0.6      (과자)    1\n",
              "1      0.6      (달걀)    1\n",
              "2      0.8      (라면)    1\n",
              "3      0.4      (맥주)    1\n",
              "4      0.4      (소주)    1\n",
              "5      0.4  (과자, 라면)    2\n",
              "6      0.4  (과자, 맥주)    2\n",
              "7      0.6  (라면, 달걀)    2"
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              "      <td>0.6</td>\n",
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              "      <th>2</th>\n",
              "      <td>0.8</td>\n",
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              "      <th>3</th>\n",
              "      <td>0.4</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.4</td>\n",
              "      <td>(소주)</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.4</td>\n",
              "      <td>(과자, 라면)</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.4</td>\n",
              "      <td>(과자, 맥주)</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.6</td>\n",
              "      <td>(라면, 달걀)</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  </style>\n",
              "\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-47344176-abc6-4373-94d1-154ef296c7c6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from mlxtend.frequent_patterns import association_rules\n",
        "\n",
        "ar = association_rules(frequent_itemsets, min_threshold=0.3)\n",
        "ar.sort_values('lift', ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "_COlKztvoLlY",
        "outputId": "a5e192a1-17dc-40c3-92b9-bf1921b100c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  antecedents consequents  antecedent support  consequent support  support  \\\n",
              "2        (과자)        (맥주)                 0.6                 0.4      0.4   \n",
              "3        (맥주)        (과자)                 0.4                 0.6      0.4   \n",
              "5        (달걀)        (라면)                 0.6                 0.8      0.6   \n",
              "4        (라면)        (달걀)                 0.8                 0.6      0.6   \n",
              "0        (과자)        (라면)                 0.6                 0.8      0.4   \n",
              "1        (라면)        (과자)                 0.8                 0.6      0.4   \n",
              "\n",
              "   confidence      lift  leverage  conviction  \n",
              "2    0.666667  1.666667      0.16         1.8  \n",
              "3    1.000000  1.666667      0.16         inf  \n",
              "5    1.000000  1.250000      0.12         inf  \n",
              "4    0.750000  1.250000      0.12         1.6  \n",
              "0    0.666667  0.833333     -0.08         0.6  \n",
              "1    0.500000  0.833333     -0.08         0.8  "
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              "      <td>1.6</td>\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = [ \n",
        "           ['아메리카노', '카페라떼'], \n",
        "           ['카페라떼', '아메리카노', '카푸치노'], \n",
        "           ['바닐라라떼', '아메리카노'], \n",
        "           ['녹차라떼', '카페라떼', '아메리카노'], \n",
        "           ['카페모카', '아메리카노'], \n",
        "           ['아메리카노', '카페라떼'], \n",
        "           ['초콜릿', '아메리카노'], \n",
        "           ['아메리카노'], \n",
        "           ['카페모카', '카페라떼'] \n",
        "           ]"
      ],
      "metadata": {
        "id": "fh4z1z9PqbaW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def getDataFrame(dataset):\n",
        "  te = TransactionEncoder()\n",
        "  te_matrix = te.fit_transform(dataset)\n",
        "  return pd.DataFrame(te_matrix, columns = te.columns_)"
      ],
      "metadata": {
        "id": "Lf_0p8YnzF9e"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_data = getDataFrame(dataset)\n",
        "df_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 332
        },
        "id": "verEZgV1zU4-",
        "outputId": "76dded30-4c40-460a-9588-f67ff4ba2f84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    녹차라떼  바닐라라떼  아메리카노    초콜릿   카페라떼   카페모카   카푸치노\n",
              "0  False  False   True  False   True  False  False\n",
              "1  False  False   True  False   True  False   True\n",
              "2  False   True   True  False  False  False  False\n",
              "3   True  False   True  False   True  False  False\n",
              "4  False  False   True  False  False   True  False\n",
              "5  False  False   True  False   True  False  False\n",
              "6  False  False   True   True  False  False  False\n",
              "7  False  False   True  False  False  False  False\n",
              "8  False  False  False  False   True   True  False"
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              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
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              "  </tbody>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e9a0d4b3-74ff-483d-8cfa-4020d36894e4')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e9a0d4b3-74ff-483d-8cfa-4020d36894e4');\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",
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              "  </div>\n",
              "  "
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          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "freq_items = apriori(df_data, min_support=0.1, use_colnames=True)\n",
        "freq_items"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        },
        "id": "CUHOc1c2za39",
        "outputId": "7ab5f010-e667-4f99-b123-c2006524cae9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     support             itemsets\n",
              "0   0.111111               (녹차라떼)\n",
              "1   0.111111              (바닐라라떼)\n",
              "2   0.888889              (아메리카노)\n",
              "3   0.111111                (초콜릿)\n",
              "4   0.555556               (카페라떼)\n",
              "5   0.222222               (카페모카)\n",
              "6   0.111111               (카푸치노)\n",
              "7   0.111111        (녹차라떼, 아메리카노)\n",
              "8   0.111111         (녹차라떼, 카페라떼)\n",
              "9   0.111111       (아메리카노, 바닐라라떼)\n",
              "10  0.111111         (아메리카노, 초콜릿)\n",
              "11  0.444444        (카페라떼, 아메리카노)\n",
              "12  0.111111        (카페모카, 아메리카노)\n",
              "13  0.111111        (카푸치노, 아메리카노)\n",
              "14  0.111111         (카페라떼, 카페모카)\n",
              "15  0.111111         (카페라떼, 카푸치노)\n",
              "16  0.111111  (녹차라떼, 아메리카노, 카페라떼)\n",
              "17  0.111111  (카페라떼, 아메리카노, 카푸치노)"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>support</th>\n",
              "      <th>itemsets</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(녹차라떼)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(바닐라라떼)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.888889</td>\n",
              "      <td>(아메리카노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(초콜릿)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.555556</td>\n",
              "      <td>(카페라떼)</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.222222</td>\n",
              "      <td>(카페모카)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카푸치노)</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(녹차라떼, 아메리카노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(녹차라떼, 카페라떼)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(아메리카노, 바닐라라떼)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(아메리카노, 초콜릿)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.444444</td>\n",
              "      <td>(카페라떼, 아메리카노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카페모카, 아메리카노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카푸치노, 아메리카노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카페라떼, 카페모카)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카페라떼, 카푸치노)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(녹차라떼, 아메리카노, 카페라떼)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.111111</td>\n",
              "      <td>(카페라떼, 아메리카노, 카푸치노)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-79913f8d-847d-44f5-b66b-6035f85e2f9a')\"\n",
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              "          const element = document.querySelector('#df-79913f8d-847d-44f5-b66b-6035f85e2f9a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ar = association_rules(freq_items, min_threshold=0.3)\n",
        "ar.sort_values('lift', ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 551
        },
        "id": "DVqad__fz0cM",
        "outputId": "e6a06388-9210-47ae-c031-b8a0cb30798f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      antecedents    consequents  antecedent support  consequent support  \\\n",
              "12         (녹차라떼)  (카페라떼, 아메리카노)            0.111111            0.444444   \n",
              "15         (카푸치노)  (카페라떼, 아메리카노)            0.111111            0.444444   \n",
              "1          (녹차라떼)         (카페라떼)            0.111111            0.555556   \n",
              "9          (카푸치노)         (카페라떼)            0.111111            0.555556   \n",
              "10  (녹차라떼, 아메리카노)         (카페라떼)            0.111111            0.555556   \n",
              "14  (카푸치노, 아메리카노)         (카페라떼)            0.111111            0.555556   \n",
              "0          (녹차라떼)        (아메리카노)            0.111111            0.888889   \n",
              "2         (바닐라라떼)        (아메리카노)            0.111111            0.888889   \n",
              "3           (초콜릿)        (아메리카노)            0.111111            0.888889   \n",
              "7          (카푸치노)        (아메리카노)            0.111111            0.888889   \n",
              "11   (녹차라떼, 카페라떼)        (아메리카노)            0.111111            0.888889   \n",
              "13   (카페라떼, 카푸치노)        (아메리카노)            0.111111            0.888889   \n",
              "4          (카페라떼)        (아메리카노)            0.555556            0.888889   \n",
              "5         (아메리카노)         (카페라떼)            0.888889            0.555556   \n",
              "8          (카페모카)         (카페라떼)            0.222222            0.555556   \n",
              "6          (카페모카)        (아메리카노)            0.222222            0.888889   \n",
              "\n",
              "     support  confidence    lift  leverage  conviction  \n",
              "12  0.111111         1.0  2.2500  0.061728         inf  \n",
              "15  0.111111         1.0  2.2500  0.061728         inf  \n",
              "1   0.111111         1.0  1.8000  0.049383         inf  \n",
              "9   0.111111         1.0  1.8000  0.049383         inf  \n",
              "10  0.111111         1.0  1.8000  0.049383         inf  \n",
              "14  0.111111         1.0  1.8000  0.049383         inf  \n",
              "0   0.111111         1.0  1.1250  0.012346         inf  \n",
              "2   0.111111         1.0  1.1250  0.012346         inf  \n",
              "3   0.111111         1.0  1.1250  0.012346         inf  \n",
              "7   0.111111         1.0  1.1250  0.012346         inf  \n",
              "11  0.111111         1.0  1.1250  0.012346         inf  \n",
              "13  0.111111         1.0  1.1250  0.012346         inf  \n",
              "4   0.444444         0.8  0.9000 -0.049383    0.555556  \n",
              "5   0.444444         0.5  0.9000 -0.049383    0.888889  \n",
              "8   0.111111         0.5  0.9000 -0.012346    0.888889  \n",
              "6   0.111111         0.5  0.5625 -0.086420    0.222222  "
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>antecedents</th>\n",
              "      <th>consequents</th>\n",
              "      <th>antecedent support</th>\n",
              "      <th>consequent support</th>\n",
              "      <th>support</th>\n",
              "      <th>confidence</th>\n",
              "      <th>lift</th>\n",
              "      <th>leverage</th>\n",
              "      <th>conviction</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>(녹차라떼)</td>\n",
              "      <td>(카페라떼, 아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.2500</td>\n",
              "      <td>0.061728</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>(카푸치노)</td>\n",
              "      <td>(카페라떼, 아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.2500</td>\n",
              "      <td>0.061728</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>(녹차라떼)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.8000</td>\n",
              "      <td>0.049383</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>(카푸치노)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.8000</td>\n",
              "      <td>0.049383</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>(녹차라떼, 아메리카노)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.8000</td>\n",
              "      <td>0.049383</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>(카푸치노, 아메리카노)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.8000</td>\n",
              "      <td>0.049383</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>(녹차라떼)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>(바닐라라떼)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>(초콜릿)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>(카푸치노)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>(녹차라떼, 카페라떼)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>(카페라떼, 카푸치노)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.1250</td>\n",
              "      <td>0.012346</td>\n",
              "      <td>inf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>-0.049383</td>\n",
              "      <td>0.555556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.444444</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>-0.049383</td>\n",
              "      <td>0.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>(카페모카)</td>\n",
              "      <td>(카페라떼)</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.555556</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.9000</td>\n",
              "      <td>-0.012346</td>\n",
              "      <td>0.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>(카페모카)</td>\n",
              "      <td>(아메리카노)</td>\n",
              "      <td>0.222222</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.111111</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.5625</td>\n",
              "      <td>-0.086420</td>\n",
              "      <td>0.222222</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6def7615-8de1-4f23-b920-a97d18bc7b79')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6def7615-8de1-4f23-b920-a97d18bc7b79 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-6def7615-8de1-4f23-b920-a97d18bc7b79');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    }
  ]
}