Solving Multiple Variable Problems by Regression Models

Chien D. C. Ta, Linh My Ta
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Abstract

There are a lot of Regression models to solve multiple variable problems especially category, predict problems. In this paper, we propose some of regression models to predict the price of diamonds. Known as the “Four C's,” carat, clarity, color and cut collectively inform the price of a diamond. No single characteristic outweighs another. They all contribute and influence the final retail value. The data we used for testing our approach was obtained from the Data and Story Library. Results generated show that our proposed approach achieves high precision.
用回归模型求解多变量问题
有很多回归模型用于解决多变量问题,特别是分类、预测问题。本文提出了一些预测钻石价格的回归模型。克拉(carat)、净度(clarity)、颜色(color)和切工(cut)被称为“4c”,它们共同决定了钻石的价格。没有哪一种特征比另一种更重要。它们都贡献并影响最终的零售价值。我们用于测试我们的方法的数据是从data and Story Library中获得的。结果表明,该方法具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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