Research on Sports Training Prediction Model Based on Selective Ensemble Learning

Author(s):  
Cui Liang-zhong ◽  
Zhou Gang ◽  
Yang Suting
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Huibing Zhang ◽  
Junchao Dong

In recent years, blockchain has substantially enhanced the credibility of e-commerce platforms for users. The prediction accuracy of the repeat purchase behaviour of e-commerce users directly affects the impact of precision marketing by merchants. The existing ensemble learning models have low prediction accuracy when the purchase behaviour sample is unbalanced and the information dimension of feature engineering is single. To overcome this problem, an ensemble learning prediction model based on multisource information fusion is proposed. Tests on the Tmall dataset showed that the accuracy and AUC values of the model reached 91.28% and 70.53%, respectively.


2020 ◽  
Vol 6 ◽  
pp. 1424-1431
Author(s):  
Xifeng Guo ◽  
Ye Gao ◽  
Di Zheng ◽  
Yi Ning ◽  
Qiannan Zhao

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 144777-144789 ◽  
Author(s):  
Norma Latif Fitriyani ◽  
Muhammad Syafrudin ◽  
Ganjar Alfian ◽  
Jongtae Rhee

Sign in / Sign up

Export Citation Format

Share Document