Table 10.

Quality assessment questions

S.No.	Question
1	Are research objectives clearly defined?
2	Is research methodology well-defined?
3	Is the train and test data source clearly defined?
4	Are the data pre-processing techniques clearly defined and their selection justified?
5	Are the feature extraction or feature engineering techniques clearly described and justified?
6	Are the learning algorithms clearly described?
7	Does the study perform the comparison with the existing baseline models?
8	Is the performance of the proposed system evaluated and results properly interpreted and discussed?
9	Does the conclusion reflect the research findings?