regarding the title of the article, the title is not an accurate representation of the paper and it is too wide, it would be narrowed to explain the key aspect of the paper and it is not matched to the abstract. according to the journal's guideline, the title should contain the following feature, which it is not first, the affiliation of the author, and second, a clear indication and active email address of the corresponding author. in terms of the abstract, most of the parts of the abstract are for explaining the background context of statistics and data science, and in addition, there is no certain clarification about key results of the paper, and there is an unnecessary example in it. the references are well arranged according to the journal's guidelines.

there is lots of background description in the introduction, without identifying the statement of the population of the research and who is the research relevant to. In addition, there is no justification of claims, and the problem of research is not defined, moreover, no clear solution to the problems. finally, there is no new concept added in the discussion.

there is no valid and reliable method used in the research, the argument supporting the aim of the research do not provide adequate answers as to why the problem was proposed. the corresponding research objectives are not well addressed and identified the solution.

by recalling the title of the paper and its aim, it is better to bring supporting data and compare and contrast value to claim its goal. the abbreviation should be written fully for there first use in the section. it needs validity or precision

the discussion section is poorly written, it is under what exactly are new comparisons and theoretical contributions of the current study to existing literature.