Peer Review

[jordanlau123]

Hey! I've taken a look at your project and found your topic very interesting and overall very well done!

Below are just some minor details and quick suggestions I have:

Documentation: Looks good! Everything is organized with proper names and labels.

Code: Its Great! Code is clean and readable.

Analysis and reasoning:

• I would suggest exporting your scores table as a csv/pickle as opposed to a png.
• Having a bit of EDA for the features before diving into the analysis would be helpful.
• I don't see the final test score in the results section of the report.
• I see that there's mean_test_f1 and mean_test_accuracy along with mean_train_f1 and mean_train_accuracy, what is the difference between the pairs? They seem to have identical numbers. If they are identical, removing the last 2 columns would be a good idea.

Communication:

• Report could use a quick proof-read to fix grammar mistakes for better flow when reading.

Overall, project is solid and well done. Keep up the good work!

[athy9193]

Hi @jordanlau123 , thank you very much for your feedback. We have tried to incorporated your suggested in our report here

In specific:

• We redo our Table 1 to a bar chart to improve the visual engagement of our report. We are focusing on f1 score as the data is imbalance, we have remove the accuracy column as suggested
• The test f-1 score have been added in the report

Thank you again!

Cheers, Group 33