{ "id": 276448, "title": "Why so many \"Mixing predictions\" notebooks?", "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/276448", "author_name": "", "post_date": "2021-10-04T19:18:43.268677100Z", "votes": 10, "comment_count": 4, "views": 0, "content": "

Hello, I am new to Kaggle and I have some questions.

\n

Why there are so many \"mixing predictions\" notebooks?
\nWhat is the purpose of uploading the same notebook (many users doing this, even Kaggle masters doing this)? Is it okay with Kaggle rules?

\n

I thought that copy-paste is the worst thing for any scientist or programmer.
\nExample of the same notebooks:
\n1) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models
\n2) https://www.kaggle.com/nishanthaddagatla/brain-tumor-3d-blender-b6280a
\n3) https://www.kaggle.com/sandeep2812/brain-tumor
\n4) https://www.kaggle.com/luongduongminh/brain-tumor-3d
\n5) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-blender
\n6) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models/notebook

\n

And what is more interesting, such topics have the same amount (or more) upvotes, than original predictions:
\n1) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-inference/notebook
\n2) https://www.kaggle.com/syerwin/efficientnet3d-with-one-mri-type
\n3) https://www.kaggle.com/hijest/1-rsna-miccai-not-smart-ensemble

", "messages": [ { "id": "1534285", "postDate": "10/04/2021 19:18:43", "content": "

Hello, I am new to Kaggle and I have some questions.

\n

Why there are so many \"mixing predictions\" notebooks?
\nWhat is the purpose of uploading the same notebook (many users doing this, even Kaggle masters doing this)? Is it okay with Kaggle rules?

\n

I thought that copy-paste is the worst thing for any scientist or programmer.
\nExample of the same notebooks:
\n1) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models
\n2) https://www.kaggle.com/nishanthaddagatla/brain-tumor-3d-blender-b6280a
\n3) https://www.kaggle.com/sandeep2812/brain-tumor
\n4) https://www.kaggle.com/luongduongminh/brain-tumor-3d
\n5) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-blender
\n6) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models/notebook

\n

And what is more interesting, such topics have the same amount (or more) upvotes, than original predictions:
\n1) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-inference/notebook
\n2) https://www.kaggle.com/syerwin/efficientnet3d-with-one-mri-type
\n3) https://www.kaggle.com/hijest/1-rsna-miccai-not-smart-ensemble

", "rawMarkdown": "Hello, I am new to Kaggle and I have some questions.\n\nWhy there are so many \"mixing predictions\" notebooks?\nWhat is the purpose of uploading the same notebook (many users doing this, even Kaggle masters doing this)? Is it okay with Kaggle rules?\n\nI thought that copy-paste is the worst thing for any scientist or programmer.\nExample of the same notebooks:\n1) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models\n2) https://www.kaggle.com/nishanthaddagatla/brain-tumor-3d-blender-b6280a\n3) https://www.kaggle.com/sandeep2812/brain-tumor\n4) https://www.kaggle.com/luongduongminh/brain-tumor-3d\n5) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-blender\n6) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models/notebook\n\nAnd what is more interesting, such topics have the same amount (or more) upvotes, than original predictions:\n1) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-inference/notebook\n2) https://www.kaggle.com/syerwin/efficientnet3d-with-one-mri-type\n3) https://www.kaggle.com/hijest/1-rsna-miccai-not-smart-ensemble", "votes": null }, { "id": "1534386", "postDate": "10/04/2021 20:56:39", "content": "

Yeah. Downvotes for notebooks should be allowed the same as it is for comments. There is a lot of crap and ML beginners can get really fooled by the high public scores.

", "rawMarkdown": "Yeah. Downvotes for notebooks should be allowed the same as it is for comments. There is a lot of crap and ML beginners can get really fooled by the high public scores.", "votes": null }, { "id": "1536249", "postDate": "10/06/2021 14:53:21", "content": "

FYI, in general you can report

\n

", "rawMarkdown": "FYI, in general you can report \n\n", "votes": null }, { "id": "1539087", "postDate": "10/09/2021 05:38:21", "content": "

Welcome to kaggle!

", "rawMarkdown": "Welcome to kaggle!", "votes": null }, { "id": "1540310", "postDate": "10/10/2021 11:20:18", "content": "

May be the train step is hard,so simple ensemble is need for someone who want get high score in LB!

", "rawMarkdown": "May be the train step is hard,so simple ensemble is need for someone who want get high score in LB!", "votes": null } ], "comments": [ { "id": 1534386, "author_name": "mikecho", "author_url": "", "post_date": "10/04/2021 20:56:39", "content": "

Yeah. Downvotes for notebooks should be allowed the same as it is for comments. There is a lot of crap and ML beginners can get really fooled by the high public scores.

", "votes": null, "replies": [] }, { "id": 1536249, "author_name": "ipythonx", "author_url": "", "post_date": "10/06/2021 14:53:21", "content": "

FYI, in general you can report

\n

", "votes": null, "replies": [] }, { "id": 1539087, "author_name": "guohey", "author_url": "", "post_date": "10/09/2021 05:38:21", "content": "

Welcome to kaggle!

", "votes": null, "replies": [] }, { "id": 1540310, "author_name": "guohey", "author_url": "", "post_date": "10/10/2021 11:20:18", "content": "

May be the train step is hard,so simple ensemble is need for someone who want get high score in LB!

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1534285": "Hello, I am new to Kaggle and I have some questions.\n\nWhy there are so many \"mixing predictions\" notebooks?\nWhat is the purpose of uploading the same notebook (many users doing this, even Kaggle masters doing this)? Is it okay with Kaggle rules?\n\nI thought that copy-paste is the worst thing for any scientist or programmer.\nExample of the same notebooks:\n1) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models\n2) https://www.kaggle.com/nishanthaddagatla/brain-tumor-3d-blender-b6280a\n3) https://www.kaggle.com/sandeep2812/brain-tumor\n4) https://www.kaggle.com/luongduongminh/brain-tumor-3d\n5) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-blender\n6) https://www.kaggle.com/syerwin/brain-tumor-3d-blender-the-scale-of-models/notebook\n\nAnd what is more interesting, such topics have the same amount (or more) upvotes, than original predictions:\n1) https://www.kaggle.com/ammarnassanalhajali/brain-tumor-3d-inference/notebook\n2) https://www.kaggle.com/syerwin/efficientnet3d-with-one-mri-type\n3) https://www.kaggle.com/hijest/1-rsna-miccai-not-smart-ensemble", "1534386": "Yeah. Downvotes for notebooks should be allowed the same as it is for comments. There is a lot of crap and ML beginners can get really fooled by the high public scores.", "1536249": "FYI, in general you can report \n\n", "1539087": "Welcome to kaggle!", "1540310": "May be the train step is hard,so simple ensemble is need for someone who want get high score in LB!" }, "source": "meta" }