{
  "fetched_at": "2026-10-19T13:36:07Z",
  "source_url": "https://www.kaggle.com/competitions/2022-competition-02/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **yzm_train** - the train set\n*   **yzm_test** - the test set\n*   **sample_solution.csv** - a sample submission file in the correct format\n\n",
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    {
      "name": "Description",
      "content": "**- 图片内容识别**\n本次竞赛的目的是将给定数据集完成图片内容识别任务。\n\n**- 赛制介绍**\n本次比赛系机器学习方向2022级《机器学习框架》课程内部第二次竞赛。\n\n**- 赛程安排**\n时间：2024.10.09-2024.10.21\n流程：\n1.每位同学只许注册一个kaggle账号登入，然后打开指定链接，参与比赛每位同学可以查看相应的竞赛要求和数据集。\n\n2.从该平台下载数据集，本地调试算法，并在该平台上提交结果，提交完成后，即得相应的分数并可以查看公共排名结果。\n\n3.每人每天有且仅有3次提交机会，高分成绩直接覆盖低分成绩。\n\n4.比赛提供标准训练集（含标签），仅供参赛选手训练算法模型；提供标准测试数据集（无标签），供参赛选手提交评测结果参与排名。比赛中严禁使用外部数据集，一经发现，成绩作废。\n\n5.比赛中需要使用代码管理工具对代码进行管理，并在提交结果之后存储当前代码作为提交成绩依据的记录，比赛结束公布最终排名时需提交取得最高成绩的代码。\n\n6.比赛截止时，将对所有参赛队伍代码进行审核，识别并剔除只靠人工标注而没有算法贡献的队伍与使用重复代码参赛的队伍。\n\n7.比赛截止时，将取得最高成绩的代码和对应文档上传至雪梨教育平台对应任务。（注意：文档需有对问题解决过程、难点解决过程和核心代码分析等问题的体现。）\n\n8.比赛结束后，随机抽取部分学生进行答辩。\n\n**- 成绩评定**\n排名情况将决定学生本次竞赛分值（排名第一名为100分，第二名为99分，以此类推至最后一名）。\n",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "The evaluation section describes how submissions will be scored and how participants should format their submissions. You don't need a sub-title at the top; the page title appears above. Below is an example of a typical evaluation page.\n\n---\nSubmissions are evaluated on [area under the ROC curve](http://en.wikipedia.org/wiki/Receiver_operating_characteristic) between the predicted probability and the observed target.\n\n## Submission File\nFor each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:（There is a sample in Data, ID and TARGET may change other.）\n\n    id,  y\n    0,  94vog\n    1,  4G9d0\n    2,  dcj64\n    etc.",
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      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun.",
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      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "abstract",
      "content": "请选择你认为好的算法训练yzm_train数据集，进行调试或改进算法把性能达到最好，然后用测试集验证你的算法。",
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