基于大数据分析和改进线性回归模型的房价数学预测方法

Xinyu Yang, Zesheng Yin, Jiayi Li
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引用次数: 0

摘要

房价预测是探索性数据分析的典型案例。本文以美国某城市的房价为例,运用多种线性模型对房价走势进行预测和分析。基于Spark,我们实现了一个分布式房价预测分析模型。通过对多个线性模型的比较,找出预测效果最好的最佳线性分析模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Housing Price Mathematical Prediction Method through Big Data Analysis and Improved Linear Regression Model
Housing price prediction is a typical case of exploratory data analysis. This article takes housing prices in a certain city in the United States as an example, and uses a variety of linear models to predict and analyze the trend of housing prices. Based on Spark, we have implemented a distributed housing price prediction analysis model. Through the comparison of multiple linear models, we find out the best linear analysis model with the best prediction results.
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