Haoran Su, Kun Qian, Chenglong Li, Junzhe Shi, Ruxin Yan
May 2018
Marriage could be affected by many objective and subjective factors. This fun project is going to iteratively find out the most influential ones by analyzing our database. After determining the most direct factors that affected marriage status using GA, we would also like to conduct several machine techniques including logistic regression, SVM, decision trees and neural networks to train with the selected features. Eventually, we will predict one‘s marriage status based on our study findings.