Optimization of the Random Forest Method Using Principal Component Analysis to Predict House Prices
Emha Ahdan Fahmi Elmuna,
Totok Chamidy,
Fresy Nugroho
Abstract:Investment is an interesting thing, especially property investment. The developer must also be careful in determining the price of the property. It should be noted that every year, both short-term and long-term, property prices increase and rarely go down. In determining the price, it is often also based on the features of the house such as the concept, location, bedrooms, etc. To predict house prices based on their features, the random forest has a good performance for predicting house prices. However, the ra… Show more
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