基于MLR、随机森林和支持向量机的汽车销售价格预测

R. Chavare, Rushikesh Joshi, Om Wagh, Aditya Vaishale, Aditya Ingale
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引用次数: 0

摘要

本文主要研究汽车销售数据集以及去除期望预测所需的算法。本数据集官方收集自cars24.com,该网站根据其他参数描述二手车的销售价格。本研究的目的是讨论不同的算法,可以用来获得预测和数据的准确性。在设计算法时遇到了不同的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Car Sales Price Prediction using MLR, Random Forest and Support Vector Machine
This paper focuses on the car sales dataset and the algorithm required to remove the desired prediction. This data set is officially collected from cars24.com, which describes the selling price of second-hand vehicles based on other parameters. The purpose of this study is to discuss different algorithms that can be applied to obtain the prediction and the accuracy of the data. Different obstacles were faced while designing the algorithms.
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