{ "id": 369142, "title": "Competition metric- Probabilistic F1 Score - adjutant references", "url": "/competitions/rsna-breast-cancer-detection/discussion/369142", "author_name": "Ravi Ramakrishnan", "post_date": "2022-11-29T05:30:19.653000", "votes": 4, "comment_count": 1, "views": 0, "content": "

Hello all

\n

I came across the below references for the competition metric (probability extended F1 score) and thought of sharing a few adjutant resources for the same.

\n
    \n
  1. https://www.researchgate.net/publication/226675412_A_Probabilistic_Interpretation_of_Precision_Recall_and_F-Score_with_Implication_for_Evaluation -- this is a good introductory article for the metric, well explained and illustrated
    2. \n
  2. https://www.amazon.science/publications/probabilistic-extension-of-precision-recall-and-f1-score-for-more-thorough-evaluation-of-classification-models -- another good article on the same
    3. \n
  3. https://www.semanticscholar.org/paper/Probabilistic-Extension-of-Precision%2C-Recall%2C-and-Yacouby-Axman/02926bce47bf12e2f64a8a38e7820524b48ab07b
    4. \n
  4. https://aclanthology.org/2020.eval4nlp-1.9.pdf -- readily available pdf paper for the metric
    5. \n
\n

Hope this is useful! All the best for the assignment!!

\n

P.S. Some of the above links may necessitate a registration/ sign-up to download the papers.

", "messages": [ { "id": 2047932, "postDate": "2022-11-29T05:30:19.653Z", "content": "

Hello all

\n

I came across the below references for the competition metric (probability extended F1 score) and thought of sharing a few adjutant resources for the same.

\n
    \n
  1. https://www.researchgate.net/publication/226675412_A_Probabilistic_Interpretation_of_Precision_Recall_and_F-Score_with_Implication_for_Evaluation -- this is a good introductory article for the metric, well explained and illustrated
    2. \n
  2. https://www.amazon.science/publications/probabilistic-extension-of-precision-recall-and-f1-score-for-more-thorough-evaluation-of-classification-models -- another good article on the same
    3. \n
  3. https://www.semanticscholar.org/paper/Probabilistic-Extension-of-Precision%2C-Recall%2C-and-Yacouby-Axman/02926bce47bf12e2f64a8a38e7820524b48ab07b
    4. \n
  4. https://aclanthology.org/2020.eval4nlp-1.9.pdf -- readily available pdf paper for the metric
    5. \n
\n

Hope this is useful! All the best for the assignment!!

\n

P.S. Some of the above links may necessitate a registration/ sign-up to download the papers.

", "rawMarkdown": "Hello all\n\nI came across the below references for the competition metric (probability extended F1 score) and thought of sharing a few adjutant resources for the same. \n\n1. https://www.researchgate.net/publication/226675412_A_Probabilistic_Interpretation_of_Precision_Recall_and_F-Score_with_Implication_for_Evaluation -- this is a good introductory article for the metric, well explained and illustrated \n2. https://www.amazon.science/publications/probabilistic-extension-of-precision-recall-and-f1-score-for-more-thorough-evaluation-of-classification-models -- another good article on the same\n3. https://www.semanticscholar.org/paper/Probabilistic-Extension-of-Precision%2C-Recall%2C-and-Yacouby-Axman/02926bce47bf12e2f64a8a38e7820524b48ab07b \n4. https://aclanthology.org/2020.eval4nlp-1.9.pdf -- readily available pdf paper for the metric\n\nHope this is useful! All the best for the assignment!!\n\nP.S. Some of the above links may necessitate a registration/ sign-up to download the papers. ", "votes": 4 }, { "id": 2047953, "postDate": "2022-11-29T06:17:15.327Z", "rawMarkdown": "", "votes": -2, "isDeleted": true } ], "comments": [ { "id": 2047953, "author_name": "", "author_url": "", "post_date": "2022-11-29T06:17:15.327000", "content": "", "votes": -2, "replies": [] } ], "raw_markdown_by_id": { "2047932": "Hello all\n\nI came across the below references for the competition metric (probability extended F1 score) and thought of sharing a few adjutant resources for the same. \n\n1. https://www.researchgate.net/publication/226675412_A_Probabilistic_Interpretation_of_Precision_Recall_and_F-Score_with_Implication_for_Evaluation -- this is a good introductory article for the metric, well explained and illustrated \n2. https://www.amazon.science/publications/probabilistic-extension-of-precision-recall-and-f1-score-for-more-thorough-evaluation-of-classification-models -- another good article on the same\n3. https://www.semanticscholar.org/paper/Probabilistic-Extension-of-Precision%2C-Recall%2C-and-Yacouby-Axman/02926bce47bf12e2f64a8a38e7820524b48ab07b \n4. https://aclanthology.org/2020.eval4nlp-1.9.pdf -- readily available pdf paper for the metric\n\nHope this is useful! All the best for the assignment!!\n\nP.S. Some of the above links may necessitate a registration/ sign-up to download the papers. ", "2047953": "" } }