Author(s)

Jialiang Lyu, Siyuan Qiao

Corresponding Author

Jialiang Lyu

ABSTRACT

Collect data and get the probability of students being admitted. The first is to understand and clean up the data set to obtain the necessary variables needed to build the simulation process. We have a data file and a data set from a small university website, and after removing the duplicate IDs to obtain the necessary data, we filter out the necessary variables. The second is to calculate multiple variables to get the data, and iteratively prove it. The last is to find the most relevant variables and develop our predictive model. Through repeated verification and argumentation, we have arrived at the result.

KEYWORDS

Prediction, Analysis, College, Admission