Applying Random Forests to Predict the Housing Price in Kaohsiung City

碩士 === 國立東華大學 === 財務金融學系 === 107 === This paper employs the popular machine learning algorithm "Random Forest" to build a housing price prediction model for Kaohsiung City using the Actual Price Registration data set. Decision tree could classify or predict target features with impressive...

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Bibliographic Details
Main Authors: Zheng-Yu Li, 李政育
Other Authors: Jin-Lung Lin
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/q3mpbg

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