物业税批量评估技术是物业税开征面临的一个关键问题,难点在于如何提高评估精度,降低评估成本.本文针对物业税批量评估技术的特点提出了一种基于最小二乘支持向量机回归的物业税税基批量评估模型,并采用数据对该模型进行验证,结果表明该模型的运算结果精度较高,建立模型所需的样本量小、成本低,在物业税批量评估问题中具有很好的应用前景.“,”Mass appraisal technology is a key issue in starting to levy real estate tax in China. Aiming at characteristics of mass appraisal for real estate tax,this paper proposes a model of mass appraisal for real estate tax based on the least square support vector machine(LS-SVM) and examines the model by employing some real-estate data. The empirical research shows that this model can lead to accurate result with small sample data and low cost,which may make it more promising in the practice of mass appraisal for real estate tax.