{
  "id": 507744,
  "title": "Model used besides LightGBM",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/507744",
  "author_name": "",
  "post_date": "2024-05-27T05:15:52.930240400Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi everyone, may I know apart from LGBM, what is/are the models can be used for this competition. </p>",
  "messages": [
    {
      "id": "2838528",
      "postDate": "05/27/2024 05:15:52",
      "content": "<p>Hi everyone, may I know apart from LGBM, what is/are the models can be used for this competition. </p>",
      "rawMarkdown": "Hi everyone, may I know apart from LGBM, what is/are the models can be used for this competition.",
      "votes": null
    },
    {
      "id": "2838536",
      "postDate": "05/27/2024 05:19:36",
      "content": "<p>We can use a number if models like neural networks, Catboost, histogram gradient boosting classifier, logistic regression , etc. <br>\nOne decides the usage of the models based on the cv and leaderboard scores <a href=\"https://www.kaggle.com/rebeccakiing\" target=\"_blank\">@rebeccakiing</a> </p>\n<p>I think Catboost and light GBM are popular choices here, as per public sharing at least!</p>",
      "rawMarkdown": "We can use a number if models like neural networks, Catboost, histogram gradient boosting classifier, logistic regression , etc. \nOne decides the usage of the models based on the cv and leaderboard scores @rebeccakiing \n\nI think Catboost and light GBM are popular choices here, as per public sharing at least!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2838536,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "05/27/2024 05:19:36",
      "content": "<p>We can use a number if models like neural networks, Catboost, histogram gradient boosting classifier, logistic regression , etc. <br>\nOne decides the usage of the models based on the cv and leaderboard scores <a href=\"https://www.kaggle.com/rebeccakiing\" target=\"_blank\">@rebeccakiing</a> </p>\n<p>I think Catboost and light GBM are popular choices here, as per public sharing at least!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2838528": "Hi everyone, may I know apart from LGBM, what is/are the models can be used for this competition.",
    "2838536": "We can use a number if models like neural networks, Catboost, histogram gradient boosting classifier, logistic regression , etc. \nOne decides the usage of the models based on the cv and leaderboard scores @rebeccakiing \n\nI think Catboost and light GBM are popular choices here, as per public sharing at least!"
  },
  "source": "meta"
}