{
  "id": 533433,
  "title": "How to eliminate the Zero submission scores?",
  "url": "/competitions/ariel-data-challenge-2024/discussion/533433",
  "author_name": "SeshuRaju 🧘‍♂️",
  "post_date": "2024-09-11T07:20:41.603000",
  "votes": 4,
  "comment_count": 7,
  "views": 0,
  "content": "<p>=&gt; Any approach to fix the zero submission scores? ( except trail and error sigma approach )</p>",
  "messages": [
    {
      "id": 2986173,
      "postDate": "2024-09-11T13:02:45.970Z",
      "content": "<p>I just fix my sigma to be 1.5e-4, and I never have any zero submission score after fixing the value.</p>",
      "rawMarkdown": "I just fix my sigma to be 1.5e-4, and I never have any zero submission score after fixing the value.",
      "votes": 4,
      "replies": [
        {
          "id": 2986179,
          "postDate": "2024-09-11T13:05:44.063Z",
          "content": "<p>Thanks, i will try with <strong>1.5e-4</strong> <a href=\"https://www.kaggle.com/chingyinng\" target=\"_blank\">@chingyinng</a> </p>",
          "rawMarkdown": "Thanks, i will try with **1.5e-4** @chingyinng "
        },
        {
          "id": 2993669,
          "postDate": "2024-09-20T05:23:29.430Z",
          "content": "<p>Thanks <a href=\"https://www.kaggle.com/seshurajup\" target=\"_blank\">@seshurajup</a> for raising this issue and thanks <a href=\"https://www.kaggle.com/chingyinng\" target=\"_blank\">@chingyinng</a> for the answer, the problem is indeed frustrating.<br>\nDo you guys mean sigma defined at the starter's notebook <a href=\"https://www.kaggle.com/code/gordonyip/update-calibrating-and-binning-astronomical-data\" target=\"_blank\">https://www.kaggle.com/code/gordonyip/update-calibrating-and-binning-astronomical-data</a> and used for astropy.stats.sigma_clip?</p>",
          "rawMarkdown": "Thanks @seshurajup for raising this issue and thanks @chingyinng for the answer, the problem is indeed frustrating.\nDo you guys mean sigma defined at the starter's notebook https://www.kaggle.com/code/gordonyip/update-calibrating-and-binning-astronomical-data and used for astropy.stats.sigma_clip?",
          "votes": 1,
          "replies": [
            {
              "id": 2993674,
              "postDate": "2024-09-20T05:31:42.243Z",
              "content": "<p><a href=\"https://www.kaggle.com/andrey885\" target=\"_blank\">@andrey885</a> Not really. We are talking about a different sigma.</p>\n<p>The sigma in sigma clipping is used to identify hot pixels, that has a pixel value outside 5 standard deviations. The sigma that we are talking about is the uncertainty estimation, that you have to submit with <code>submission.csv</code>.</p>",
              "rawMarkdown": "@andrey885 Not really. We are talking about a different sigma.\n\nThe sigma in sigma clipping is used to identify hot pixels, that has a pixel value outside 5 standard deviations. The sigma that we are talking about is the uncertainty estimation, that you have to submit with `submission.csv`.",
              "votes": 4
            }
          ]
        },
        {
          "id": 2997760,
          "postDate": "2024-09-24T21:48:13.027Z",
          "content": "<p>Hi ChingYinNg,<br>\nThis is my first try on kaggle and I have 3 tries with score 0.000.<br>\nI changed my sigma for constant 1.5e-4 and still have the same score. I am just wondering if it because of error in my sbmission file or because results are very sensitive. I think that my error should not be more than 10% to 20%. Is this leading to 0.000 score?</p>",
          "rawMarkdown": "Hi ChingYinNg,\nThis is my first try on kaggle and I have 3 tries with score 0.000.\nI changed my sigma for constant 1.5e-4 and still have the same score. I am just wondering if it because of error in my sbmission file or because results are very sensitive. I think that my error should not be more than 10% to 20%. Is this leading to 0.000 score?",
          "replies": [
            {
              "id": 2997814,
              "postDate": "2024-09-24T23:16:30.753Z",
              "content": "<p><a href=\"https://www.kaggle.com/mjz1977\" target=\"_blank\">@mjz1977</a> Its probably because your model’s error is &gt;&gt; 1e-4. Try to increase the sigma to match your model’s uncertainty. For my first attempts I actually used 8e-4 as the sigma. I changed it to 1.5e-4 after improving the model.</p>",
              "rawMarkdown": "@mjz1977 Its probably because your model’s error is >> 1e-4. Try to increase the sigma to match your model’s uncertainty. For my first attempts I actually used 8e-4 as the sigma. I changed it to 1.5e-4 after improving the model.",
              "votes": 1
            },
            {
              "id": 2998137,
              "postDate": "2024-09-25T09:37:35.800Z",
              "content": "<p>I found the error. I put the answer here because it can helps kaggle beginners like me 😅.<br>\nThe real (and hidden) test database is more than 1 planet. My error was that I write the code as if the there is only one planet in the test database.</p>",
              "rawMarkdown": "I found the error. I put the answer here because it can helps kaggle beginners like me 😅.\nThe real (and hidden) test database is more than 1 planet. My error was that I write the code as if the there is only one planet in the test database.",
              "votes": 1
            }
          ]
        }
      ]
    },
    {
      "id": 2985950,
      "postDate": "2024-09-11T07:20:41.603Z",
      "content": "<p>=&gt; Any approach to fix the zero submission scores? ( except trail and error sigma approach )</p>",
      "rawMarkdown": "=> Any approach to fix the zero submission scores? ( except trail and error sigma approach )",
      "votes": 4
    }
  ],
  "comments": [
    {
      "id": 2986173,
      "author_name": "ChingYinNg",
      "author_url": "",
      "post_date": "2024-09-11T13:02:45.970000",
      "content": "<p>I just fix my sigma to be 1.5e-4, and I never have any zero submission score after fixing the value.</p>",
      "votes": 4,
      "replies": [
        {
          "id": 2986179,
          "author_name": "SeshuRaju 🧘‍♂️",
          "author_url": "",
          "post_date": "2024-09-11T13:05:44.063000",
          "content": "<p>Thanks, i will try with <strong>1.5e-4</strong> <a href=\"https://www.kaggle.com/chingyinng\" target=\"_blank\">@chingyinng</a> </p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 2993669,
          "author_name": "Andrey",
          "author_url": "",
          "post_date": "2024-09-20T05:23:29.430000",
          "content": "<p>Thanks <a href=\"https://www.kaggle.com/seshurajup\" target=\"_blank\">@seshurajup</a> for raising this issue and thanks <a href=\"https://www.kaggle.com/chingyinng\" target=\"_blank\">@chingyinng</a> for the answer, the problem is indeed frustrating.<br>\nDo you guys mean sigma defined at the starter's notebook <a href=\"https://www.kaggle.com/code/gordonyip/update-calibrating-and-binning-astronomical-data\" target=\"_blank\">https://www.kaggle.com/code/gordonyip/update-calibrating-and-binning-astronomical-data</a> and used for astropy.stats.sigma_clip?</p>",
          "votes": 1,
          "replies": [
            {
              "id": 2993674,
              "author_name": "ChingYinNg",
              "author_url": "",
              "post_date": "2024-09-20T05:31:42.243000",
              "content": "<p><a href=\"https://www.kaggle.com/andrey885\" target=\"_blank\">@andrey885</a> Not really. We are talking about a different sigma.</p>\n<p>The sigma in sigma clipping is used to identify hot pixels, that has a pixel value outside 5 standard deviations. The sigma that we are talking about is the uncertainty estimation, that you have to submit with <code>submission.csv</code>.</p>",
              "votes": 4,
              "replies": []
            }
          ]
        },
        {
          "id": 2997760,
          "author_name": "MJZ1977",
          "author_url": "",
          "post_date": "2024-09-24T21:48:13.027000",
          "content": "<p>Hi ChingYinNg,<br>\nThis is my first try on kaggle and I have 3 tries with score 0.000.<br>\nI changed my sigma for constant 1.5e-4 and still have the same score. I am just wondering if it because of error in my sbmission file or because results are very sensitive. I think that my error should not be more than 10% to 20%. Is this leading to 0.000 score?</p>",
          "votes": 0,
          "replies": [
            {
              "id": 2997814,
              "author_name": "ChingYinNg",
              "author_url": "",
              "post_date": "2024-09-24T23:16:30.753000",
              "content": "<p><a href=\"https://www.kaggle.com/mjz1977\" target=\"_blank\">@mjz1977</a> Its probably because your model’s error is &gt;&gt; 1e-4. Try to increase the sigma to match your model’s uncertainty. For my first attempts I actually used 8e-4 as the sigma. I changed it to 1.5e-4 after improving the model.</p>",
              "votes": 1,
              "replies": []
            },
            {
              "id": 2998137,
              "author_name": "MJZ1977",
              "author_url": "",
              "post_date": "2024-09-25T09:37:35.800000",
              "content": "<p>I found the error. I put the answer here because it can helps kaggle beginners like me 😅.<br>\nThe real (and hidden) test database is more than 1 planet. My error was that I write the code as if the there is only one planet in the test database.</p>",
              "votes": 1,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2986173": "I just fix my sigma to be 1.5e-4, and I never have any zero submission score after fixing the value.",
    "2985950": "=> Any approach to fix the zero submission scores? ( except trail and error sigma approach )"
  }
}