Assessing China’s Investment Risk of the Maritime Silk Road: A Model Based on Multiple Machine Learning Methods

Round 1

Reviewer 1 Report

 

What is the percentage of MAPE in this study?

 In part 3.3.1 (Machine Learning) the number of 2063 training data and 136 test data are not enough to check the reliability of this method.

What is the originality of this study?

A comparison between several algorithms used in machine learning is welcome.

The authors can use the articles below to improve their paper:

-        A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications, MDPI-Energies 2021

 -        Artificial intelligence technologies for Maritime Surveillance applications, 2020 21st IEEE International Conference on Mobile Data Management (MDM)

 -        A Comparative Research of Machine Learning Impact to Future of Maritime Transportation, ELSEVIER 2019

 -        Fault Diagnosis of Smart Grids Based on Deep Learning Approach, WAC2021

 -        A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis, ELSEVIER 2022

Author Response

Please see the attachment.

Thank you.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper attempts to benchmark known ML methods on a data that measures the risk analysis.

Although the application could be interesting but in fact the employed methods are just classical approach and looks like the authors perform comparative study for the application. The drawn conclusion is too generic. For example, they have come up with the results that KNN outperforms the other methods. But, the is no further comments as to why this is the case. Is this always true under same experimental setup?

Also, I was surprised that the paper under the general study as such composed of pages long references. Did the authors really used all the 71 references cited work this work?.   

Author Response

Please see the attachment.

Thank you.

Author Response File: Author Response.pdf

Reviewer 3 Report

 

The paper proposed multiple ML/DL for risk investment prediction

Below are some comments and suggestion for improving the quality of the manuscript.

 

General comments

1.      The title is “Assessing the Investment Risk of The Maritime Silk Road: A 2 New Model based on Machine Learning Methods and Deep 3 Learning Technologies” What is the new thing in the proposed model?

2.      The scope of the paper: China should be mentioned in the title

3.      In the abstract it was mentioned that “This was the conclusion reached. “? This is not a proper information to be included in the abstract

4.      What are the contribution of the study?

5.      The manuscript needs to be improved in term of English language.

6.      literature review section missing

7.      Motivation should be mentioned clearly

8.      The results mentioned in the abstract is very general

Author Response

Please see the attachment.

Thank you.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

This paper can be accepted for publication. Congratulations. 

 

 

 

Author Response

Thank your very much for providing your constructive 
comments and instructions on this paper.

Reviewer 2 Report

The manuscript has been improved and authors made justified correction. 

Author Response

Thank you very much for providing your constructive comments and instructions on this paper.

Reviewer 3 Report

Comments have been addressed

Author Response

Thank you very much for providing your constructive comments and instructions on this paper.