Increase statistical reliability without losing predictive power by merging classes and adding variables
Yuanyi Pan, Xiaofeng Li, Wenxue Huang · Big Data and Information Analytics · 2017
It is usually true that adding explanatory variables into a probability model increases association degree yet risks losing statistical reliability. In this article, we propose an approach to merge classes within the categorical explanatory variables before the addition so as to keep the statistical reliability while increase the predictive power step by step.