Optimized Weighted Ensemble Approach for Enhancing Gold Mineralization Prediction
, Shaojie Chen 1,2,*, Jicheng Zhang 1,2, Fan Feng 1,2, Liu Qi 1,2, Mohamed A. Mahdy 4 and Linlin Jin 1,2
Round 1
Reviewer 1 Report
1. Generally, the sentences are hard to understand! Accordingly, a deep proofreading of the manuscript is necessary. E.g.:
- “Reserve estimate” in the first line of the Introduction must be replaced by “Reserve estimation”.
- The first two sentences in the Introduction must emerge.
- etc.
2. The Subsection “2.1. Case study Area for grade Estimation” must be sorted as a Subsection of Section 3.
The English Language of the manuscript must be extensively improved.
Author Response
Thank you very much for your suggestions to improve the quality of our manuscripts, as you have been recommended to improve and revise the English language, and a language specialist did this. Also we have made the required modifications from us as requested.
Reviewer 2 Report
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Sr. No. |
Comments |
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1 |
Please mention the numeric values in abstract “The suggested technique has higher R-squared coefficients and lower RMSE and R values” |
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2 |
Line No 70: correct the format. |
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3 |
Line no 80: correct the format. |
The manuscript appears to be grammatically correct and well-structured. No major grammar or structural mistakes are detected. The information is clear, and the sentences flow logically, providing a concise summary of the research paper's objective, methodology, and findings.
Author Response
Thank you very much for your valuable comment to improve our research paper. We have sent an attachment with the required modifications. Please find the attached file.
Author Response File: 
Author Response.pdf
Reviewer 3 Report
The authors propose optimizing a machine learning model using the Marine Predator Algorithm (MPA). This optimized model is used to predict gold resources.
The manuscript describes an interesting proposal. I have the following comments:
- The authors use several acronyms without a definition: WOA, GA, ACO, DE, ….
- What is the motivation to use MPA to optimize the machine learning models? Is there a justification in the existing literature where MPA is more appropriate to optimize these models? I know that DE and PSO have demonstrated their power in this field. A comparison of MPA results with other algorithms may highlight the use of MPA.
- I suggest improving the paragraphs describing the proposed approach (Section 2.4) to clarify how the authors implement it. In particular, the paragraph in lines 383-397.
The English writing of the document should be reviewed.
Author Response
Thank you very much for your valuable comment to improve our research paper. We have sent an attachment with the required modifications. Please find the attached file.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
No Comment!
Acceptable!
