The topic is of importance to solve since real estate purchase is a common issue for every person.
2.It is wise to join the existing features with background feathers and using the relationship between them.
The goal is meaningful and the prediction can give people valuable suggestions.
Three weaknesses:
The data set is restricted in New York, which makes the result hard to apply to other areas.
They need to read more reviews or interview some experts to choose the factors of the model. Otherwise the factors are not representative enough.
They did not specify what kind of model they use, which makes is less practical.
Three strengths:
by Shan He(sh2375)