Predictive model based on decision tree combined multiple regressions
Jingrong Chen, Yu-Heng Lin, Yih‐Guang Leu · 2017
This paper combines a decision tree with multiple linear regressions to build a predictive model. The decision tree of the predictive model generates classification outputs, and the predictive model integrates linear multiple regressions into the decision tree to achieve numerical outputs. The temperature with seven days ahead is forecasted by using the predictive model. In order to demonstrate the effectiveness of the predictive model, we compare the predictive model with some different time series methods.