基于机器学习方法的电动汽车价格预测

Price Prediction of Electric Vehicles Based on Machine Learning Methods

运用多种机器学习方法对给定电动汽车数据建立了模型,对比发现了逻辑斯蒂回归模型的性能最好,精确度达97.33%,最终选择逻辑斯蒂回归模型用于对电动汽车的价格进行预测。

A variety of machine learning methods are used to build models for a given electric vehicle data.The comparison shows that the Logistic Regression model has the best performance,with an accuracy of 97.33%.The logistic regression model is finally used for the price prediction of electric vehicles.