{
  "id": 507942,
  "title": "What a shake",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/507942",
  "author_name": "Andrey Chankin",
  "post_date": "2024-05-28T00:02:12.482000",
  "votes": 3,
  "comment_count": 8,
  "views": 0,
  "content": "<p>heh, didnt expect, ppl get +1200, could not find good CV myself</p>",
  "messages": [
    {
      "id": 2840047,
      "postDate": "2024-05-28T00:02:12.483Z",
      "content": "<p>heh, didnt expect, ppl get +1200, could not find good CV myself</p>",
      "rawMarkdown": "heh, didnt expect, ppl get +1200, could not find good CV myself",
      "votes": 3
    },
    {
      "id": 2840133,
      "postDate": "2024-05-28T01:42:31.830Z",
      "content": "<p>I used the training set to observe the metric trick, and if the time is extended, the subsequent oscillation will be large.<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F20129689%2Fded49e486563198b7f15693e6415847d%2F465ff5ecb6f8f0c9dece04f6e5a9806.png?generation=1716860549259016&amp;alt=media\"></p>",
      "rawMarkdown": "I used the training set to observe the metric trick, and if the time is extended, the subsequent oscillation will be large.![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F20129689%2Fded49e486563198b7f15693e6415847d%2F465ff5ecb6f8f0c9dece04f6e5a9806.png?generation=1716860549259016&alt=media)",
      "replies": [
        {
          "id": 2840138,
          "postDate": "2024-05-28T01:44:22.050Z",
          "content": "<p>In this case, the most we reduce (0.073) is probably the score of the distant future。</p>",
          "rawMarkdown": "In this case, the most we reduce (0.073) is probably the score of the distant future。",
          "replies": [
            {
              "id": 2840142,
              "postDate": "2024-05-28T01:45:43.187Z",
              "content": "<p>I don't know how big the test set is or how long it will be. I had to gamble, and I lost.</p>",
              "rawMarkdown": "I don't know how big the test set is or how long it will be. I had to gamble, and I lost."
            }
          ]
        }
      ]
    },
    {
      "id": 2840049,
      "postDate": "2024-05-28T00:09:00.247Z",
      "content": "<p>I'm wondering why private scores are so much lower than public scores. I assumed that as more data are tested, the standard deviation would decrease so the stability score would be higher (?)</p>",
      "rawMarkdown": "I'm wondering why private scores are so much lower than public scores. I assumed that as more data are tested, the standard deviation would decrease so the stability score would be higher (?)",
      "replies": [
        {
          "id": 2840051,
          "postDate": "2024-05-28T00:11:39.090Z",
          "rawMarkdown": "",
          "isDeleted": true
        },
        {
          "id": 2840052,
          "postDate": "2024-05-28T00:12:01.660Z",
          "content": "<p>Because it is a long-term prediction, the gini of the model itself will decrease</p>",
          "rawMarkdown": "Because it is a long-term prediction, the gini of the model itself will decrease",
          "replies": [
            {
              "id": 2840053,
              "postDate": "2024-05-28T00:15:14.690Z",
              "content": "<p>Well, I guess if 30% public test data and 70% private test data approximately have the same distribution, the gini should not decrease.</p>",
              "rawMarkdown": "Well, I guess if 30% public test data and 70% private test data approximately have the same distribution, the gini should not decrease."
            }
          ]
        },
        {
          "id": 2840121,
          "postDate": "2024-05-28T01:38:02.307Z",
          "content": "<p>cause the private dataset contains 3-4 years of data while the public one only contains last 2 years</p>",
          "rawMarkdown": "cause the private dataset contains 3-4 years of data while the public one only contains last 2 years"
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 2840133,
      "author_name": "",
      "author_url": "",
      "post_date": "2024-05-28T01:42:31.830000",
      "content": "<p>I used the training set to observe the metric trick, and if the time is extended, the subsequent oscillation will be large.<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F20129689%2Fded49e486563198b7f15693e6415847d%2F465ff5ecb6f8f0c9dece04f6e5a9806.png?generation=1716860549259016&amp;alt=media\"></p>",
      "votes": 0,
      "replies": [
        {
          "id": 2840138,
          "author_name": "",
          "author_url": "",
          "post_date": "2024-05-28T01:44:22.050000",
          "content": "<p>In this case, the most we reduce (0.073) is probably the score of the distant future。</p>",
          "votes": 0,
          "replies": [
            {
              "id": 2840142,
              "author_name": "",
              "author_url": "",
              "post_date": "2024-05-28T01:45:43.187000",
              "content": "<p>I don't know how big the test set is or how long it will be. I had to gamble, and I lost.</p>",
              "votes": 0,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 2840049,
      "author_name": "Lorry Zou",
      "author_url": "",
      "post_date": "2024-05-28T00:09:00.247000",
      "content": "<p>I'm wondering why private scores are so much lower than public scores. I assumed that as more data are tested, the standard deviation would decrease so the stability score would be higher (?)</p>",
      "votes": 0,
      "replies": [
        {
          "id": 2840051,
          "author_name": "",
          "author_url": "",
          "post_date": "2024-05-28T00:11:39.090000",
          "content": "",
          "votes": 0,
          "replies": []
        },
        {
          "id": 2840052,
          "author_name": "yunsuxiaozi",
          "author_url": "",
          "post_date": "2024-05-28T00:12:01.660000",
          "content": "<p>Because it is a long-term prediction, the gini of the model itself will decrease</p>",
          "votes": 0,
          "replies": [
            {
              "id": 2840053,
              "author_name": "Lorry Zou",
              "author_url": "",
              "post_date": "2024-05-28T00:15:14.690000",
              "content": "<p>Well, I guess if 30% public test data and 70% private test data approximately have the same distribution, the gini should not decrease.</p>",
              "votes": 0,
              "replies": []
            }
          ]
        },
        {
          "id": 2840121,
          "author_name": "hongyi shui",
          "author_url": "",
          "post_date": "2024-05-28T01:38:02.307000",
          "content": "<p>cause the private dataset contains 3-4 years of data while the public one only contains last 2 years</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2840047": "heh, didnt expect, ppl get +1200, could not find good CV myself",
    "2840133": "I used the training set to observe the metric trick, and if the time is extended, the subsequent oscillation will be large.![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F20129689%2Fded49e486563198b7f15693e6415847d%2F465ff5ecb6f8f0c9dece04f6e5a9806.png?generation=1716860549259016&alt=media)",
    "2840049": "I'm wondering why private scores are so much lower than public scores. I assumed that as more data are tested, the standard deviation would decrease so the stability score would be higher (?)"
  }
}