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Why am I getting \"Submission Scoring Error\". What is wrong with my submission file? Can anyone please help me here?
\nNote : I am removing duplicates
\nMy submission file looks like this.
\n
Original \"SampleSubmission\" has this info
\n<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 2 entries, 0 to 1\nData columns (total 2 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 prediction_id 2 non-null object \n 1 cancer 2 non-null float64\ndtypes: float64(1), object(1)\nmemory usage: 160.0+ bytes
My Submission file has this info
\n<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 2 entries, 0 to 1\nData columns (total 2 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 prediction_id 2 non-null object \n 1 cancer 2 non-null float64\ndtypes: float64(1), object(1)\nmemory usage: 160.0+ bytes
This should work
\ncsv_file = '/kaggle/input/rsna-breast-cancer-detection/test.csv'\ntest_df = pd.read_csv(csv_file)\ntest_df.loc[:, 'cancer'] = np.random.uniform(0,1,len(test_df)) # dummy probability values\nsubmit_df = test_df[['prediction_id', 'cancer']]\nsubmit_df = submit_df.groupby('prediction_id').mean() #dummy aggregation method\nsubmit_df = submit_df.sort_index()\nsubmit_df.to_csv('submission.csv',index=True)\n\n\nnote that\ntest_df.loc[:, 'prediction_id'] = test_df.patient_id.astype(str) + '_' + test_df.laterality\n
\nNote: this is for illustration only. your model should take in multiple images (e.g. same/cross view, same/cross-laterality attention) and produce a single prediction per (patient, laterality)
Thanks, this helped me find the issue. I was hardcoding public test patient in my submission df as the prediction ID. I fixed that thanks to your code.
", "rawMarkdown": "Thanks, this helped me find the issue. I was hardcoding public test patient in my submission df as the prediction ID. I fixed that thanks to your code." }, { "id": 2078573, "postDate": "2022-12-28T12:39:54.427Z", "content": "https://www.kaggle.com/code/alaamadi/first-submission-with-smaller-dataset
\nmay you please check mine?
Why have you done \"index=True\" when sample submission does not have index column in the file?
", "rawMarkdown": "Why have you done \"*index=True*\" when sample submission does not have index column in the file?\n" } ] }, { "id": 2050307, "postDate": "2022-11-30T16:38:13.127Z", "content": "Why am I getting \"Submission Scoring Error\". What is wrong with my submission file? Can anyone please help me here?
\nNote : I am removing duplicates
\nMy submission file looks like this.
\n
Original \"SampleSubmission\" has this info
\n<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 2 entries, 0 to 1\nData columns (total 2 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 prediction_id 2 non-null object \n 1 cancer 2 non-null float64\ndtypes: float64(1), object(1)\nmemory usage: 160.0+ bytes
My Submission file has this info
\n<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 2 entries, 0 to 1\nData columns (total 2 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 prediction_id 2 non-null object \n 1 cancer 2 non-null float64\ndtypes: float64(1), object(1)\nmemory usage: 160.0+ bytes
It will accelerate the help if you share your notebook or a simple version that fails in the same way.I
", "rawMarkdown": "It will accelerate the help if you share your notebook or a simple version that fails in the same way.I" } ], "comments": [ { "id": 2050742, "author_name": "hengck23", "author_url": "", "post_date": "2022-12-01T00:28:48.030000", "content": "This should work
\ncsv_file = '/kaggle/input/rsna-breast-cancer-detection/test.csv'\ntest_df = pd.read_csv(csv_file)\ntest_df.loc[:, 'cancer'] = np.random.uniform(0,1,len(test_df)) # dummy probability values\nsubmit_df = test_df[['prediction_id', 'cancer']]\nsubmit_df = submit_df.groupby('prediction_id').mean() #dummy aggregation method\nsubmit_df = submit_df.sort_index()\nsubmit_df.to_csv('submission.csv',index=True)\n\n\nnote that\ntest_df.loc[:, 'prediction_id'] = test_df.patient_id.astype(str) + '_' + test_df.laterality\n
\nNote: this is for illustration only. your model should take in multiple images (e.g. same/cross view, same/cross-laterality attention) and produce a single prediction per (patient, laterality)
Thanks, this helped me find the issue. I was hardcoding public test patient in my submission df as the prediction ID. I fixed that thanks to your code.
", "votes": 0, "replies": [] }, { "id": 2078573, "author_name": "Alaa Madi", "author_url": "", "post_date": "2022-12-28T12:39:54.427000", "content": "https://www.kaggle.com/code/alaamadi/first-submission-with-smaller-dataset
\nmay you please check mine?
Why have you done \"index=True\" when sample submission does not have index column in the file?
", "votes": 0, "replies": [] } ] }, { "id": 2050576, "author_name": "Darien Schettler", "author_url": "", "post_date": "2022-11-30T21:06:32.633000", "content": "It will accelerate the help if you share your notebook or a simple version that fails in the same way.I
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2050742": "\nThis should work\n```\n \ncsv_file = '/kaggle/input/rsna-breast-cancer-detection/test.csv'\ntest_df = pd.read_csv(csv_file)\ntest_df.loc[:, 'cancer'] = np.random.uniform(0,1,len(test_df)) # dummy probability values\n\nsubmit_df = test_df[['prediction_id', 'cancer']]\nsubmit_df = submit_df.groupby('prediction_id').mean() #dummy aggregation method\nsubmit_df = submit_df.sort_index()\nsubmit_df.to_csv('submission.csv',index=True)\n \n \nnote that\n test_df.loc[:, 'prediction_id'] = test_df.patient_id.astype(str) + '_' + test_df.laterality\n\n``` \nNote: this is for illustration only. your model should take in multiple images (e.g. same/cross view, same/cross-laterality attention) and produce a single prediction per (patient, laterality)", "2050307": "Why am I getting \"Submission Scoring Error\". What is wrong with my submission file? Can anyone please help me here? \n\nNote : I am removing duplicates\n\nMy submission file looks like this. \n \n\nOriginal \"SampleSubmission\" has this info\n`