기업과제3_8팀_dev_set_score.ipynb

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        "<a href=\"https://colab.research.google.com/github/honeybeat1/klue-sts/blob/main/%EA%B8%B0%EC%97%85%EA%B3%BC%EC%A0%9C3_8%ED%8C%80_dev_set_score.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kTFBMwA0yOxM"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import sys\n",
        "import pandas as pd\n",
        "import numpy as np "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount(\"/content/drive\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8rLUHdIi4SCW",
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dev_set_score = pd.read_csv('/content/drive/MyDrive/data/기업과제3_8팀_dev_set_score.csv')\n",
        "dev_set_score"
      ],
      "metadata": {
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          "height": 423
        },
        "id": "U-uTQ-yv4UnZ",
        "outputId": "ed52dcef-60ab-457d-e13a-2e97cd1241fe"
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      "execution_count": null,
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              "                      guid  true_real_label  true_binary_label  \\\n",
              "0    klue-sts-v1_dev_00000         4.857143                  1   \n",
              "1    klue-sts-v1_dev_00001         1.428571                  0   \n",
              "2    klue-sts-v1_dev_00002         1.285714                  0   \n",
              "3    klue-sts-v1_dev_00003         3.714286                  1   \n",
              "4    klue-sts-v1_dev_00004         2.500000                  0   \n",
              "..                     ...              ...                ...   \n",
              "514  klue-sts-v1_dev_00514         2.200000                  0   \n",
              "515  klue-sts-v1_dev_00515         2.833333                  0   \n",
              "516  klue-sts-v1_dev_00516         0.333333                  0   \n",
              "517  klue-sts-v1_dev_00517         0.333333                  0   \n",
              "518  klue-sts-v1_dev_00518         2.857143                  0   \n",
              "\n",
              "     predict_real_label  predict_binary_label  \n",
              "0              4.980749                     1  \n",
              "1              2.145419                     0  \n",
              "2              1.488101                     0  \n",
              "3              4.164298                     1  \n",
              "4              3.016868                     1  \n",
              "..                  ...                   ...  \n",
              "514            3.660266                     1  \n",
              "515            3.013463                     0  \n",
              "516            1.506227                     0  \n",
              "517            0.609422                     0  \n",
              "518            3.017922                     1  \n",
              "\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Pearsonr score 계산\n",
        "from scipy import stats\n",
        "stats.pearsonr(dev_set_score['true_real_label'], dev_set_score['predict_real_label'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OnkqoREU4maL",
        "outputId": "53b66472-7680-4b8c-c531-c906f37c0cc1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.9329595532617194, 1.484811088529504e-231)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# f1 score 계산\n",
        "from sklearn.metrics import f1_score\n",
        "f1_score(dev_set_score['true_binary_label'], dev_set_score['predict_binary_label'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7FBT4HOV4_wk",
        "outputId": "8762ce5b-04f2-4c2f-9992-2d693708c1a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7283464566929134"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    }
  ]
}