Research on Rain Pattern Classification Based on Machine Learning: A Case Study in Pi River Basin
, Ronghua Liu 1,2,3, Ke Liang 4, Xiaoyan He 1,2,3 and Liuqian Ding 1,2
Round 1
Reviewer 1 Report
The framework of this manuscript has promising results however some changes are required. Please find my comments below:
*Need to see some numbers/main findings in the Abstract section.
*Line 23: replace LightGBM by Light Gradient Boosting Machine (LightGBM)
*Lines 56-60: Need reference.
*Line 63: replace AdaBoost by Adaptive Boosting (AdaBoost) & XGBoost by eXtreme Gradient Boosting (XGBoost) & RF by Random forest (RF)
*Lines 113-121: need reference for the data mentioned in this section.
*Section 5.1: need to compare your results with literature.
*Figure 11-15: you need to describe and discuss in details, so please link the discussion in the following paragraph starting at Lines 175 with these Figures. You did a great job in the discussion section, but you need to make the link with the Figures to be able to follow your discussion.
*Line 598 “Previous studies have suggested that SVM models have certain advantages in dealing with small sample data”: which studies?, please mention them.
*Conclusion section: you need to state the significance or main results of your study.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
See attachment. The analyses are sound but the relevance of the study needs to be explained. Recommendation to revise introduction and conclusion.
Comments for author File: 
Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 2 Report
See attachment
Comments for author File: Comments.pdf
Author Response
Dear reviewer:
Thank you for your patient and meticulous suggestions. Your suggestions are very important and have great guiding significance for our manuscript and research work. We are very sorry that we did not fully understand your suggestion in review round 1 and failed to meet the modification requirements. In this revision, we will consider more carefully and strive to make better improvements.
Revision notes, point-to-point, are given in the attachment, please see the attachment.
Thanks again for your suggestions, Hope to learn more knowledge from you!
Best regards!
Author Response File: Author Response.docx
Round 3
Reviewer 2 Report
The introduction has been revised and is now much more on topic. Thank you.
