Abstract
This paper introduces non-experts to the process of using predictive analytics models to solve real-world classification and prediction problems. There are two types of models: decision trees and regression models. This article summarizes the previous understanding and application of predictive models and consumer behavior, and also introduces the better use of predictive analysis models, including the accuracy and efficiency of each model. Predictive analytics models are widely used in our lives. Anyone interested in either business or medical science can learn this technology to better explore different fields. The results of this paper suggest that people can further innovate such models, so as to make the use of methods simpler and more efficient.
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