This notebook intentionally raise AssertionError at submission time. When I submitted this, the error message on Submissions tab was \"Submission Scoring Error\", not \"Notebook Threw Exception\" which I expected. I guess that this notebook made \"submission.csv\" at first iter_test loop and raised AssertionError at second loop as I expected, and in such a case the kaggle environment tried to evaluate \"submission.csv\" even if unhandled error was raised then resulting in a \"Submission Scoring Error\" because there are only 1-batch prediction in \"submission.csv\".
Actually I expected \"Notebook Threw Exception\" is shown in such a case. Below is error description in Code Competitions - Errors & Debugging Tips.
\n\n\nNotebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset.
\nSubmission Scoring 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.
\n
If you are fighting with \"Submission Scoring Error\" but cannot find where to fix, consider probability that your error occured after 1st iter_test loop successfully completed.
This notebook intentionally raise AssertionError at submission time. When I submitted this, the error message on Submissions tab was \"Submission Scoring Error\", not \"Notebook Threw Exception\" which I expected. I guess that this notebook made \"submission.csv\" at first iter_test loop and raised AssertionError at second loop as I expected, and in such a case the kaggle environment tried to evaluate \"submission.csv\" even if unhandled error was raised then resulting in a \"Submission Scoring Error\" because there are only 1-batch prediction in \"submission.csv\".
Actually I expected \"Notebook Threw Exception\" is shown in such a case. Below is error description in Code Competitions - Errors & Debugging Tips.
\n\n\nNotebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset.
\nSubmission Scoring 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.
\n
If you are fighting with \"Submission Scoring Error\" but cannot find where to fix, consider probability that your error occured after 1st iter_test loop successfully completed.
i am in the same exact situation, but don't know how to solve it … could you tell what have you done in your case plz ?
", "rawMarkdown": "i am in the same exact situation, but don't know how to solve it ... could you tell what have you done in your case plz ?", "votes": null }, { "id": "2271628", "postDate": "05/24/2023 04:22:09", "content": "Did you solved the problem?
", "rawMarkdown": "Did you solved the problem?", "votes": null }, { "id": "2284404", "postDate": "06/02/2023 02:22:58", "content": "I am on the same train. Really frustrated for being my first experience. Any insights?
", "rawMarkdown": "I am on the same train. Really frustrated for being my first experience. Any insights?", "votes": null }, { "id": "2312558", "postDate": "06/22/2023 02:33:06", "content": "Have you solved the issue ? I am battling with the exact same issue right now …
", "rawMarkdown": "Have you solved the issue ? I am battling with the exact same issue right now ...", "votes": null } ], "comments": [ { "id": 2250724, "author_name": "wouldyoujustfocus", "author_url": "", "post_date": "05/08/2023 18:19:17", "content": "i am in the same exact situation, but don't know how to solve it … could you tell what have you done in your case plz ?
", "votes": null, "replies": [ { "id": 2271628, "author_name": "navinkumarmnk", "author_url": "", "post_date": "05/24/2023 04:22:09", "content": "Did you solved the problem?
", "votes": null, "replies": [] } ] }, { "id": 2284404, "author_name": "juancarloshidalgo", "author_url": "", "post_date": "06/02/2023 02:22:58", "content": "I am on the same train. Really frustrated for being my first experience. Any insights?
", "votes": null, "replies": [] }, { "id": 2312558, "author_name": "qurious", "author_url": "", "post_date": "06/22/2023 02:33:06", "content": "Have you solved the issue ? I am battling with the exact same issue right now …
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2192967": "[This notebook](https://www.kaggle.com/tomokikmogura/psp-always-incrrect) intentionally raise `AssertionError` at submission time. When I submitted this, the error message on Submissions tab was \"Submission Scoring Error\", not \"Notebook Threw Exception\" which I expected. I guess that this notebook made \"submission.csv\" at first `iter_test` loop and raised `AssertionError` at second loop as I expected, and in such a case **the kaggle environment tried to evaluate \"submission.csv\" even if unhandled error was raised** then resulting in a \"Submission Scoring Error\" because there are only 1-batch prediction in \"submission.csv\".\n\nActually I expected \"Notebook Threw Exception\" is shown in such a case. Below is error description in [Code Competitions - Errors & Debugging Tips](https://www.kaggle.com/code-competition-debugging).\n\n> **Notebook Threw Exception**: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset.\n\n> **Submission Scoring 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.\n\nIf you are fighting with \"Submission Scoring Error\" but cannot find where to fix, consider probability that your error occured **after** 1st `iter_test` loop successfully completed.", "2250724": "i am in the same exact situation, but don't know how to solve it ... could you tell what have you done in your case plz ?", "2271628": "Did you solved the problem?", "2284404": "I am on the same train. Really frustrated for being my first experience. Any insights?", "2312558": "Have you solved the issue ? I am battling with the exact same issue right now ..." }, "source": "meta" }