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Article
Peer-Review Record

Agricultural Drought Model Based on Machine Learning Cubist Algorithm and Its Evaluation

Hydrology 2024, 11(7), 100; https://doi.org/10.3390/hydrology11070100
by Sha Sha, Lijuan Wang *, Die Hu, Yulong Ren, Xiaoping Wang and Liang Zhang
Reviewer 1: Anonymous
Reviewer 2:
Hydrology 2024, 11(7), 100; https://doi.org/10.3390/hydrology11070100
Submission received: 13 May 2024 / Revised: 25 June 2024 / Accepted: 5 July 2024 / Published: 9 July 2024

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This article has many attractions and is currently of interest to many in the field of science. The following questions need to be answered by the authors.

1- Why the CART model? There are countless models in learning models. You could also compare models and their performance.

2- Correlation in the test and training period is very weak. Therefore, the model is not suitable for the region. What justification do you have?

3- The discussion section is weak.

4- Research limitations and practical suggestions should be presented in the conclusion section.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The achieved results correspond to current knowledge. In view of the need for further research, I recommend that the authors include this fact in the conclusion of this high-quality article.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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