{
  "id": 473827,
  "title": "How to locate this error",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/473827",
  "author_name": "",
  "post_date": "2024-02-06T07:58:01.817301300Z",
  "votes": 1,
  "comment_count": 5,
  "views": 0,
  "content": "<p>How to locate this error : 'Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected. ' I'm weighting the results of different notebooks</p>",
  "messages": [
    {
      "id": "2638292",
      "postDate": "02/06/2024 07:58:01",
      "content": "<p>How to locate this error : 'Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected. ' I'm weighting the results of different notebooks</p>",
      "rawMarkdown": "How to locate this error : 'Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected. ' I'm weighting the results of different notebooks",
      "votes": null
    },
    {
      "id": "2638321",
      "postDate": "02/06/2024 08:17:01",
      "content": "<p>Please make sure that your output has the same rows with <code>case_id</code> column as in the example notebook I provided.</p>",
      "rawMarkdown": "Please make sure that your output has the same rows with `case_id` column as in the example notebook I provided.",
      "votes": null
    },
    {
      "id": "2652033",
      "postDate": "02/14/2024 14:28:08",
      "content": "<p>I am using your example notebook and i have about 12 failed submissions? <br>\nhere is what i have:<br>\nsubmission = pd.DataFrame({<br>\n    \"case_id\": data_submission[\"case_id\"].to_numpy(),<br>\n    \"score\": y_submission_pred<br>\n}).set_index('case_id')<br>\nsubmission.to_csv(\"./kaggle/working/submission.csv\")</p>",
      "rawMarkdown": "I am using your example notebook and i have about 12 failed submissions? \nhere is what i have:\nsubmission = pd.DataFrame({\n    \"case_id\": data_submission[\"case_id\"].to_numpy(),\n    \"score\": y_submission_pred\n}).set_index('case_id')\nsubmission.to_csv(\"./kaggle/working/submission.csv\")",
      "votes": null
    },
    {
      "id": "2652103",
      "postDate": "02/14/2024 15:10:36",
      "content": "<p>I believe you have to score everything that you will find in test_base.csv</p>",
      "rawMarkdown": "I believe you have to score everything that you will find in test_base.csv",
      "votes": null
    },
    {
      "id": "2652125",
      "postDate": "02/14/2024 15:18:24",
      "content": "<p>Try with no index</p>",
      "rawMarkdown": "Try with no index",
      "votes": null
    },
    {
      "id": "2654587",
      "postDate": "02/16/2024 08:54:24",
      "content": "<p>have you slove this? I currently 0 still,and I copy a baseline's mark generating df, but still 0</p>",
      "rawMarkdown": "have you slove this? I currently 0 still,and I copy a baseline's mark generating df, but still 0",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2638321,
      "author_name": "jetakow",
      "author_url": "",
      "post_date": "02/06/2024 08:17:01",
      "content": "<p>Please make sure that your output has the same rows with <code>case_id</code> column as in the example notebook I provided.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2652033,
          "author_name": "jamesgreenwood",
          "author_url": "",
          "post_date": "02/14/2024 14:28:08",
          "content": "<p>I am using your example notebook and i have about 12 failed submissions? <br>\nhere is what i have:<br>\nsubmission = pd.DataFrame({<br>\n    \"case_id\": data_submission[\"case_id\"].to_numpy(),<br>\n    \"score\": y_submission_pred<br>\n}).set_index('case_id')<br>\nsubmission.to_csv(\"./kaggle/working/submission.csv\")</p>",
          "votes": null,
          "replies": [
            {
              "id": 2652103,
              "author_name": "jetakow",
              "author_url": "",
              "post_date": "02/14/2024 15:10:36",
              "content": "<p>I believe you have to score everything that you will find in test_base.csv</p>",
              "votes": null,
              "replies": []
            },
            {
              "id": 2652125,
              "author_name": "georgem",
              "author_url": "",
              "post_date": "02/14/2024 15:18:24",
              "content": "<p>Try with no index</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 2654587,
      "author_name": "linsida",
      "author_url": "",
      "post_date": "02/16/2024 08:54:24",
      "content": "<p>have you slove this? I currently 0 still,and I copy a baseline's mark generating df, but still 0</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2638292": "How to locate this error : 'Your notebook generated a submission file with incorrect format. Some examples causing this are: wrong number of rows or columns, empty values, an incorrect data type for a value, or invalid submission values from what is expected. ' I'm weighting the results of different notebooks",
    "2638321": "Please make sure that your output has the same rows with `case_id` column as in the example notebook I provided.",
    "2652033": "I am using your example notebook and i have about 12 failed submissions? \nhere is what i have:\nsubmission = pd.DataFrame({\n    \"case_id\": data_submission[\"case_id\"].to_numpy(),\n    \"score\": y_submission_pred\n}).set_index('case_id')\nsubmission.to_csv(\"./kaggle/working/submission.csv\")",
    "2652103": "I believe you have to score everything that you will find in test_base.csv",
    "2652125": "Try with no index",
    "2654587": "have you slove this? I currently 0 still,and I copy a baseline's mark generating df, but still 0"
  },
  "source": "meta"
}