PONE-D-23-13209Comparison of the Data Mining and Machine Learning Algorithms for Predicting the Final Body Weight for Romane Sheep BreedPLOS ONE

Dear Dr. Tırınk,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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yasin altay, Ph. D.

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PLOS ONE

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https://www.researchgate.net/publication/248164965_Artificial_neural_network_for_prediction_and_control_of_blasting_vibrations_in_Assiut_Egypt_limestone_quarry

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Comments to the Author

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Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: No

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Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: No

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The aim of the manuscript is to estimate the optimal final body weight of Romane lambs from specific parameters (birth weight, suckling weight, age at suckling weight, weaning weight, age at weaning weight and age at final weight) using traditional statistical calculations and different data mining and machine learning algorithms (CART, MARS and SVR). This study will help sheep farmers to choose the right selection criteria and flock management, which is an important economic issue.

The strongest part of the manuscript is the statistical analysis, especially the textual evaluation of the results obtained. However, the introduction is very general. It is recommended that the problem statement be more specific.

Formally, the following numbered lines should be corrected:

46 Im-portance

204 Invalid table title

250 It is recommended to delete the letters 'h' from the table.

As there are so many abbreviations, it is recommended to summarise them in a list. It takes a lot of effort to find the abbreviations when reading the analysis.

It would also be useful to indicate the abbreviations in Figure 1 in the text (ww, sw, fw, etc.).

The use of units of measurement in tables is also recommended.

Overall, the manuscript is suitable for publication with the suggested changes.

Reviewer #2: Interesting article with adequate statistical analysis. Document writing deserves to be improved to a standard english.

Comments:

Lina 51: Update breeds references with more recent articles. Those published are between 2003 and 2006

Line 70: Sex (corret sex)

Line 80: Age of suckling weight: Two concepts, Weight and Age??

Suckling Weight or Weight at 30 days?

Line 85: age of weaning weight or weaning age?

Change on all document

Line 115: Add References 37,38 instead of 37, 38

Line 187: Objectify the term "Caret"

Line 195: Traits Use Units (kg) (days)

Line 278 - Discussion - Improve the english

Line 293, 309, 316, 324, 338, 346: Author aimed to compare?

Line 364 - Conclusion It should be more objective, especially in the opening paragraphs. At this point it discusses methodologies

Reviewer #3: The study should be revised in terms of writing language and especially the conclusion part should be summarized a little more. The discussion part of the article should be written using more relevant studies and unnecessary sources should be removed. There are also some expression and/or statistical errors. These must be reviewed from the very beginning.

In general, the study requires a great deal of correction, especially in terms of language.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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Submitted filename: PONE-D-23-13209.pdf

PONE-D-23-13209R1Comparison of the Data Mining and Machine Learning Algorithms for Predicting the Final Body Weight for Romane Sheep BreedPLOS ONE

Dear Dr. Tırınk,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Aug 16 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

• A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
• A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
• An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

yasin altay, Ph. D.

Academic Editor

PLOS ONE

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Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

It is beneficial to invite the reviewers, again to check the arrangements you have made.

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Reviewers' comments:

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.<quillbot-extension-portal></quillbot-extension-portal>

Comparison of the Data Mining and Machine Learning Algorithms for Predicting the Final Body Weight for Romane Sheep Breed

PONE-D-23-13209R2

Dear Dr. Tırınk,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Yasin ALTAY, Ph. D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Dear Authors;

Thank you for appreciating your valuable study on PLOS ONE. The study can be accepted considering that it will contribute positively to the literature.

Reviewers' comments:

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