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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/handle/q3mpbg |