Midterm Peer Review - jz858 #5
Description
Summary:
The purpose of this project is to create a model that can accurately predict the success/failure of pending mergers, so that it can help companies to develop investment strategies. The data set is obtained from SDC Platinum including target data from 1990 to 2016.
Likes:
- The introduction is nicely addressed with illustration of the background and purpose of the project.
- The model selection and analysis part describes the cons and pros for every model that has been used by the group, which is great.
- It is good to have a feature description table in appendix, which makes the data more clear and easier to understand.
Improvements:
- The figures are hard to recognize, especially for the decision tree in model selection part. It is better to add a figure legend or a description paragraph under the figures.
- It is mentioned in the data cleaning part that all values in "Status" are used as "Failed" except the two labeled as "Completed" and "Pending". But what if some of the cases with status "Intended" or "Part Comp" can be completed? Maybe it is better to prove that the percentage of that is very low so that this cleaning method is supported.
- There is no project summary in the report. It is better to have a short paragraph that summarizes the result next time.
Jiang Zhu