![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1982609%2F25f74dea02e0e5afb5564dffef49852f%2FID230058600.jpg?generation=1764470054334572&alt=media\")
train/ID230058600.jpg
\nWhy clover value is too high and no green data in it.
\nDry_Clover_g 46.83\nDry_Dead_g 0\nDry_Green_g 0\nDry_Total_g 46.83\nGDM_g 46.83
\n
This has been discussed
\n", "rawMarkdown": "This has been discussed\n\n[Spot checking training data](https://www.kaggle.com/competitions/csiro-biomass/discussion/631335#3339189)", "votes": 1 }, { "id": 3354355, "postDate": "2025-11-30T09:15:44.617Z", "content": "I would say wrong data for dry green
", "rawMarkdown": "I would say wrong data for dry green ", "votes": 1 }, { "id": 3354479, "postDate": "2025-11-30T10:22:59.680Z", "content": "I can see some clover
\nbut they're definitely NOT 46.83 g
\nI've marked them using red circles
\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5956875%2F406e50c9fe0372d021fc089686188f41%2Finbox_1982609_25f74dea02e0e5afb5564dffef49852f_ID230058600.jpg?generation=1764498080730356&alt=media\")
guys i don't think this is a bad example.
\nI checked my OOF model predictions on this sample and here's the predicted value from my best LB model:
\n: .\n: .\n: .\nThe actual label is
\n: .\n: .\n: .\nAlso, as I marked in the image, we can see the clover!
\nSo, the label is correct!
", "rawMarkdown": "guys i don't think this is a bad example.\n\nI checked my OOF model predictions on this sample and here's the predicted value from my best LB model:\n\n```\nDry_Green_g: 7.76\nDry_Dead_g: 3.77\nDry_Clover_g: 41.35\n```\n\nThe actual label is\n\n```\nDry_Green_g: 0.00\nDry_Dead_g: 0.00\nDry_Clover_g: 46.83\n```\n\nAlso, as I marked in the image, we can see the clover!\n\nSo, the label is correct!", "votes": -3, "replies": [ { "id": 3360267, "postDate": "2025-12-02T02:36:44.800Z", "content": "Looking at the downvotes, I wonder what's wrong with what I said.
\nAre the regions I marked in the image not clover? Or are you having different values in OOF prediction of this sample from your best LB model?
\nI'll appreciate it if someone corrects me.
", "rawMarkdown": "Looking at the downvotes, I wonder what's wrong with what I said.\n\nAre the regions I marked in the image not clover? Or are you having different values in OOF prediction of this sample from your best LB model?\n\nI'll appreciate it if someone corrects me." }, { "id": 3360353, "postDate": "2025-12-02T05:03:24.917Z", "rawMarkdown": "", "isDeleted": true }, { "id": 3360354, "postDate": "2025-12-02T05:04:04.307Z", "content": "Your answer doesn't correspond to the author's question because, in your example, there are many other green plants, but Dry_Green_g is 0. Your reply was about Dry_Clover_g, which is correct. You haven't answered the author's question.
", "rawMarkdown": "Your answer doesn't correspond to the author's question because, in your example, there are many other green plants, but Dry_Green_g is 0. Your reply was about Dry_Clover_g, which is correct. You haven't answered the author's question.\n\n\n", "votes": 3 } ] } ] }, { "id": 3353821, "postDate": "2025-11-30T02:34:55.577Z", "content": "train/ID230058600.jpg
\nWhy clover value is too high and no green data in it.
\nDry_Clover_g 46.83\nDry_Dead_g 0\nDry_Green_g 0\nDry_Total_g 46.83\nGDM_g 46.83
\n
This has been discussed
\n", "votes": 1, "replies": [] }, { "id": 3354355, "author_name": "JK-Piece", "author_url": "", "post_date": "2025-11-30T09:15:44.617000", "content": "I would say wrong data for dry green
", "votes": 1, "replies": [] }, { "id": 3354479, "author_name": "MD Mushfirat Mohaimin", "author_url": "", "post_date": "2025-11-30T10:22:59.680000", "content": "I can see some clover
\nbut they're definitely NOT 46.83 g
\nI've marked them using red circles
\n
guys i don't think this is a bad example.
\nI checked my OOF model predictions on this sample and here's the predicted value from my best LB model:
\n: .\n: .\n: .\nThe actual label is
\n: .\n: .\n: .\nAlso, as I marked in the image, we can see the clover!
\nSo, the label is correct!
", "votes": -3, "replies": [ { "id": 3360267, "author_name": "MD Mushfirat Mohaimin", "author_url": "", "post_date": "2025-12-02T02:36:44.800000", "content": "Looking at the downvotes, I wonder what's wrong with what I said.
\nAre the regions I marked in the image not clover? Or are you having different values in OOF prediction of this sample from your best LB model?
\nI'll appreciate it if someone corrects me.
", "votes": 0, "replies": [] }, { "id": 3360353, "author_name": "", "author_url": "", "post_date": "2025-12-02T05:03:24.917000", "content": "", "votes": 0, "replies": [] }, { "id": 3360354, "author_name": "yanqiangmiffy", "author_url": "", "post_date": "2025-12-02T05:04:04.307000", "content": "Your answer doesn't correspond to the author's question because, in your example, there are many other green plants, but Dry_Green_g is 0. Your reply was about Dry_Clover_g, which is correct. You haven't answered the author's question.
", "votes": 3, "replies": [] } ] } ] } ], "raw_markdown_by_id": { "3355747": "This has been discussed\n\n[Spot checking training data](https://www.kaggle.com/competitions/csiro-biomass/discussion/631335#3339189)", "3354355": "I would say wrong data for dry green ", "3354479": "I can see *some* clover\n\nbut they're definitely NOT 46.83 g\n\nI've marked them using red circles\n\n", "3353821": "train/ID230058600.jpg\n\nWhy clover value is too high and no green data in it.\n\nDry_Clover_g\t46.83\nDry_Dead_g\t0\nDry_Green_g\t0\nDry_Total_g\t46.83\nGDM_g\t 46.83\n\n\n" } }