Browsing APEC Research Reports by Subject "Machine learning"

Sort by: Order: Results:

  • Cai, Yunjiao; Fu, Zhuolun; Zhao, Yuzhe; Hu, Yilin; Ding, Shanshan (Department of Applied Economics and Statistics, University of Delaware, Newark, DE., 2017-09)
    In this study, we evaluate the predictive performance of popular statistical learning methods, such as discriminant analysis, random forests, support vector machines, and neural networks via real data analysis. Two datasets, ...
  • Cao, Emma Yiqin; Xie, Weitao; Dong, Chunzhi; Qiu, Jing (Department of Applied Economics and Statistics, University of Delaware, Newark, DE., 2020-05)
    Machine learning plays an important role in the data science field nowadays. They can be used for classification problems. In this project, we are interested in understanding what kinds of people were more likely to ...

Search UDSpace


Browse

My Account